Miracle-dz/UniFAR-FTUs huggingface dataset:
A five-cycle living visual taxonomy of learning interactions

This paper describes my development of a useful, descriptive model that one-to-one practitioners could use to analyse transcripts of their sessions, design new strategies and even test them out. Further, this work has the potential to offer a framework that students, patients, clients and colleagues could use to communicate the types of interactions they prefer. The narrative in my educational life around the domain of heuristic generates a living-educational-theory as a values-based explanation for my educational influences as a tutor. The living contradictions I encounter, and praxes I make up to help me imagine solutions, are portrayed visually and verbally; and this leads to my proposal of a five-cycle living visual taxonomy of learning interactions. I consider the application of my living-educational-theory to other domains, for example, confidence; and to power dynamics, autism support, student engagement, expert behaviour, external influences, understanding negative feedback, and remoteness in heuristics. Interestingly, one future possibility is to use my taxonomy to develop a ‘positivist/scientific flavoured’ quantitative instrument to support learning analytics and educational datamining; to optimise learning, and the environment in which it takes place.
Quality of Life and Inequality

Offering a thorough assessment of the recent developments in the economic literature on happiness and quality of life, this Handbook astutely considers both methods of estimation and policy application. The expert contributors critically present in-depth research on a wide range of topics including culture and media, inequality, and the relational and emotional side of human life. Accessible and far-reaching, it will prove an invaluable resource for students and scholars of welfare and economics.
Controller Based IDS Architecture in Distributed Nodes

In the past few years, the performances of wireless technology have increased tremendously. It gives rise to many new fields in the area of networking. One of field is Ad-Hoc networks. It is a network in which the members of network can directly communicate with each other with in the network without any fixed infrastructure. Securing Ad-hoc network is just as important as securing traditional wired network. Ad-hoc network have their own vulnerabilities that can't be tackled by the existing solutions. To obtain a level of security for Ad-hoc networks we have to couple IDS with Ad-hoc networks. In this paper we have presented a Controller based Ad-hoc network. Firstly we define the scope of IDS in Ad-hoc networks and then we have to focus on the challenges of IDS in Ad-hoc networks. And then finally we define the Controller based IDS. In this for a group of nodes there exists a Controller to manage all the areas of working as well as security.
A performance assessment of a developed mesh-generating algorithm: A computer-aided design modelling process to support progression within additive manufacturing

Developments in Additive Manufacturing (AM) technologies and associated processes have increased the limits of attainable design complexity, yet Computer-Aided Design (CAD) tools that may utilise these new potentials have not advanced as rapidly. Research detailed in this paper addresses aspects of automatic geometric design that may support the generation of high resolution, functional, three-dimensional (3D) textures. A 3D CAD model of a surface with complex curvature was modelled to be systematically populated with points using a developed mesh-generation algorithm. Following the successful generation of a mesh the distances between points were analysed, throughout the process, to measure the performance of the algorithm. Equidistance between points was achieved and, if the algorithm was used as intended, would provide an essential foundation for successive texture application processes with minimal manual input required.
Development for Simulation of Reformer Furnace

In recent years, lots of research has been done on effective usage of natural gas; the first step in these processes is conversion of natural gas to Syngas. Natural gas reforming process by refomer furnace is commonly used for syngas and hydrogen production. In this paper, a windows based software, RIPI-RefSim, is introduced. By using proper heat, mass, kinetic and thermodynamic models as well as effect of catalyst shape, the software has been developed for the reformer furnace simulation for syngas and hydrogen production. RIPI-RefSim could be used in three different modes (Rating, Simulation and Design) and provides user a detailed understanding of furnace performance, product characteristics, temperature, reaction rates and pressure drop profiles, heat loss, effect of catalyst shape, and etc.
Structural study of nanocrystalline nickel thin films

Nickel thin films (400 nm) were deposited by magnetron sputtering onto fused silica substrates. The effects of argon pressure and substrate temperature (from room temperature to 973 K) upon the film structure were investigated. The film structure was studied using grazing-incidence small-angle X-ray scattering (GISAXS) and X-ray diffraction (XRD) analysis. It was found that the prepared nanocrystalline Ni films contain two kinds of inhomogeneities observable by GISAXS, namely isotropic and platelet-like. Up to about 373 K the isotropic or spherical `particles' prevail, while above that temperature the platelet-like `particles' predominate. These inhomogeneities are ascribed to intergranular matter or grain boundaries, since the grain size (as determined from the XRD patterns) was found to increase from 7 nm in samples deposited at room temperature to about 90 nm in samples deposited at 423 K or higher temperature.
Human Resource Management Outsourcing Decision for Small and Medium-sized Enterprises in China

Human resource management (HRM) plays an important role in every enterprise. Nowadays, in China, more and more enterprises, not only large companies, but also small and medium-sized enterprises (SMEs) choose to outsource their HRM activities for economic and strategic benefits. According to the feature of HRM in SMEs, this paper builds a more systematic and practical human resource management outsourcing decision model for SMEs. In this decision model, HRM activities are classified into transaction, profession and strategy levels, and economic benefit, core competence enhancement and risks are taken into consideration. Applying multi-objective intelligent weighted grey target decision method based on combination weighting approach, the decision model can help the enterprise decide which HRM activities should be outsourced in priority sequence. The study proposes a scientific guidance for Chinai¯s SMEs to make the HRM outsourcing decision.
An Improved Sparse Representation Model for Robust Image Denoising

Though the sparse representation has demonstrated to be a very effective tool to de-noise the images with low levels of noise, it usually losses the power to well preserve structural features in images with high levels of noise. In this paper, we propose an improved de-noising method for images with low signal-to noise ratio. Specifically, the proposed method takes the histogram structural similarity (HSSIM) as similarity factor to replace the reconstruction error as the new fidelity term, and finds the most appropriate sparse coefficients by using the modified orthogonal matching pursuit (OMP) algorithm which enables structures in the reconstructed image run as close as possible to the ideal image. In addition, the proposed method adaptively trains the initialized dictionary by using the K-singular value decomposition (K-SVD) algorithm based on HSSIM to assure the image structures can be well reconstructed under the high noise circumstance. Experiment results have shown that the proposed method is better than some well-known de-noising methods in terms of PSNR and edge-preserved index (EPI) in high noise condition.
eview eclining chilling and its impact on temperate perennial crops

This paper examines the impacts of declining winter chill on the production of temperate perennial crops in the northern hemisphere. Recent studies have linked long-term climate data to key seasonal reproductive events in perennial plants. These studies suggest that the amount of winter chill occurring in the UK has declined and is predicted to continue to do so, based on future climate change scenarios described in the UK Climate Impacts Programme. It is apparent that there is a serious lack of mechanistic understanding of the physiological, molecular and genetical basis of winter chill requirement and dormancy-related environmental factors which affect perennial crop growth and yield. This situation exists despite knowledge of the impacts of climate on perennial plant development and an ability to model its effects, for many temperate fruit crops, on yield. The implications for future reductions in winter chill require recognition as a potential limiting factor on fruit production across Europe, particularly in the south. Within this review we describe the symptoms of lack of winter chill; these include effects on bud break, flower quality and the potential to set fruit, as well as effects on vegetative growth and development. Also included is current knowledge of developmental and physiological events which link flower initiation, anthesis, dormancy, chilling and bud break. Attention is given to what is known about dormancy induction, satisfaction of specific requirements and bud break. Possible strategies are described for mitigation of reduced winter chill, providing long-term solutions to secure perennial fruit supplies in Europe. This includes exploiting genotypic variability, within several perennial crops, through plant breeding to develop low chill-cultivars, together with opportunities to change crop management practices and growing systems to tolerate low chill. © 2013 Elsevier B.V. All rights reserved.
MITOCHONDRIAL DNA PHYLOGENY OF INDIAN SEAHORSE (HIPPOCAMPUS KUDA) BASED ON CYTOCHROME B GENE SEQUENCES

Syngnathidae family consists of 52 genera and over 215 species including Hippocampus kuda, popularly known as seahorse, which is one of the economically important species being utilized for Traditional Chinese Medicines. International Union for Nature and Natural Resources (IUCN) categorized this species as an endangered. We have carried out the genetic study on two populations (Tuticorin and Ratnagiri) of Indian seahorses using mtDNA cytochrome b sequence to reveal the genetic population structure and phylogenetic analysis of Indian seahorses. Our study revealed highly significant divergence in both Tuticorin (0.6429) and Ratnagiri (0.6667) seahorses Further, construction of NJ tree using mtDNA cytochrome b sequence revealed three lineages among H. kuda. One lineage consists of Tuticorin population, other lineage consists of Ratnagiri and the third lineage consists of samples from rest of the world. TMRCA (Time Most Recent Common Ancestors) value for kuda species of different regions was found to be 53,166 years ago. Thus suggests that the fall in the population size of H. kuda is due to overexploitation, but not because of any genetic bottleneck. The findings of the present study have important implications for in-situ conservation and stock management of hippocampus species along the Indian coasts.
Business cycle asymmentries: An investment cost approach

In this paper, investment cost asymmetry is introduced in order to test wheter this kind of asymmetry can account for asymmetries in business cycles. By using a smooth transition function, asymmetric investment cost is modeled and introduced in a canonical RBC model. Simulations of the model with Perturbations Method (PM) are very close to simulations through Parameterized Expectations Algorithm (PEA), which allows the use of the former for the sake of time reduction and computational costs. Both symmetric and asymmetric models were simulated and compared. Deterministic and stochastic impulse-response excersices revealed that it is possible to adequately reproduce asymmetric business cycles by modeling asymmetric investment costs. Simulations also showed that higher order moments are insu_cient to detect asymmetries. Instead, methods such as Generalized Impulse Response Analysis (GIRA) and Nonlinear Econometrics prove to be more e_cient diagnostic tools.
Emotion, Feelings and Hedonics in the Human Brain

Emotions are ubiquitous, and many will agree that it is diffi cult to imagine our lives without them. Every experienced event—whether current, remembered or imagined— seems to have an emotional tone. We cannot help but attach emotional signifi cance to the events that shape our lives—for better and sometimes for worse. Yet, exactly this subjective quality of the emotions is also what for many years made scientifi c investigation diffi cult. For if emotions are highly subjective and private experiences, how can we study them with objective means? Does the subjective quality of emotions mean that they are different for each of us, and does this mean that they are not to be found in other animals? Are emotions different cross-culturally? This chapter reports on the ongoing scientifi c struggle with emotion on the edge of our uncertainty and ignorance. While we have been able to gain some important scientifi c insights into the nature of emotion from both other animals and humans, much remains to be discovered. Neuroimaging methods are now allowing us to begin to start probing the subjective aspects of emotion, including its hedonic aspects, but we are only beginning to understand how brains deal with the intricate social and emotional fabric of human societies.
Bone mineral density of tibae and femura of broiler breeders: growth, development and production

ABSTRACTThe aim of this study was to follow-up the physiological variations inthe development of the bone tissue, associating them with the eggproduction curve. This study was carried out in the facilities of theFaculdade de Medicina VeterinAEria e Zootecnia of the UNESP, Botucatu,Brazil. Twenty-three families of Ross broiler breeders were used, eachfamily consisting of 13 females and 1 male, distributed in 23 pens of5.0m† each. The management was that recommended by the geneticcompany manual (Agroceres Ross, 2003), with daily feeding until 6 th week of age; and birds were fed according to a 5:2 schedule (5 daysfed, 2 days of fasting) between 7 and 17 weeks of age, returning todaily feeding starting at 18 weeks of age. Birds did not receive afternooncalcium supplementation. On the fourth week of rearing, 84 femaleswere removed for bone analyses of the right tibia and femur, usingoptical densitometry in radiographic images technique. These analyseswere sequentially carried out in 4, 8, 12, 15, 20, 24, 30, 35, 42, 47, and52 week-old birds. The egg production curve of the birds was followed-up and associated to bone mineral density results. For bone mineraldensity evaluation (BMD) birds were divided by weight categories aslight, intermediate, or heavy within each data age. BMD values of thetibias were not influenced by weight range, but by the age at collection.On the other hand, interactions were found among femur BMD valuesand weight and age categories. There was no correlation betweeneggshell quality and femur BMD. A negative correlation (-0.15) wasobserved between tibia BMD and eggshell percentage. It was possibleto conclude that the egg production has little influence on bone mineraldensity of the birds probably because there was no need of bone mineralmobilization during the production period, since the observed eggproduction was below that observed under commercial conditions.INTRODUCTIONBrazilian poultry industry has grown faster than other sector of theeconomy, presenting significant advances both in genetics and nutritionwith consequent better production (Nicolau, 1996). In this context, broilerbreeder production is paramount, as its objective is to produce high qualityhatchable eggs at increasingly lower costs. Therefore, adequate nutritionis essential to allow birds to express their full genetic potential. Nutritionalrequirements of most nutrients are based on production responses, but, insome cases, health is the main criterion. A vitamin- and mineral-deficientfeed may cause characteristic lesions, although the first symptoms ofdeficiency of these nutrients are also accompanied by a decrease inproduction parameters (Calderon, 1994; Hudson et al., 2000). Breeder broiler calcium requirement is very high, particularly duringthe period of active eggshell formation. Calcium used for eggshell
The Research of Positioning Measurement Based on Sensor Signal Strength

Sensor positioning plays animportant role in wireless sensor network (WSN). Thesensor location information is indispensable to a lot of applications. This paper analyzes the wireless sensor node measuring algorithm and the principle of classification, focuses on analyzing the signal strength based ranging method of RSSI, puts forward anintegration positioning method between theoretical and experience of the signal intensity values. This innovative method extends to most complicated positioning applications. Keywords-sensornode; positioning measurement; Signal strength; Integration positioning method
Prevention of relapses in the bipolar I disorder: a comparative study between quetiapine monotherapy vs. quetiapine-valproate combined therapy

Although bipolar disorder is one of the most devastating of all psychiatric disorders in terms of risk for suicide, need for hospitalization, and suffering, the available pharmacologic agents for its treatment, until relatively recently, have been quite limited. Although some estimates suggest that the lifetime prevalence of bipolar disorder in the world wide is between 1% and 1.5%, this rate would be higher if patients with bipolar spectrum disorders beyond bipolar I and II disorder were included. The public health importance of this disease is heightened by the high rate of suicides and the high economic toll it can take, including lost work days and cost of care, as well as poor financial decision-making characteristics of the manic phase of the illness [1]. We tried to evaluate whether quetiapine monotherapy reduces the rate of relapse, compared with combined therapy quetiqpine-valproate in patients with bipolar I disorder.
Effects of Board of Directors’ Characteristics on the Quality of Accounting Information in Brazil

One of the board of directors’ responsibilities is to monitor the quality of information disclosed in financial reports. The board’s structural and compositional characteristics can affect the quality of reported accounting information. The aim of this study was to investigate the effects of the board’s structural and compositional characteristics on the quality of accounting information of companies listed on the Brazilian Securities, Commodities, and Futures Exchange (Bolsa de Mercadorias e Futuros BM&FBovespa). Specifically, the characteristics studied were the size and independence of the board of directors and separation of the roles of chairman and executive director. Accounting information relevance and earnings informativeness were used as proxies for the quality of accounting information. The sample included non-financial companies listed on the BM&FBovespa with annual stock market liquidity higher than 0.001, covering the period from 2008-2011. Data were collected from the Economática® database and directly from companies’ annual reports and reference forms available on the Securities Commission (Comissão de Valores Mobiliários CVM) or BM&FBovespawebsites. Data analysis was undertaken using the multiple regression technique for calculating the models of accounting information relevance and earnings informativeness. The results reveal that, for companies that trade stocks on the BM&FBovespa in the Brazilian market, the characteristics of board independence and separation of the roles of chairman and executive director positively influence the quality of reported accounting information, specifically regarding the relevance of equity. Earnings informativeness is positively affected by board independence and negatively affected by larger board size (more than nine members). Overall, the results corroborate international studies such as those of Vafeas (2000), Firth, Fung, and Rui (2007), Ahmed, Hossain, and Adams (2006) and Dimitropoulos and Asteriou (2010), especially regarding board independence. The study showsthat stronger governance structures have a positive effect on the quality of reported accounting information.
Diversity and distribution of introduced and potentially invasive ant species from the three main ecoregions of Côte d’Ivoire (West Africa)

An important issue in biodiversity conservation is the early detection of introduced and invasive organisms and identification of regions that may either be points of introduction or be particularly prone to invasion. Among insects, ants are easily transported worldwide by humans, and several species, such as Solenopsis geminata or Pheidole megacephala , can be highly invasive. To establish an initial baseline for urban ant monitoring in Cote d’Ivoire (Western Africa), fifteen cities - equally distributed over the three main ecoregions of the country - were surveyed using tuna baits as sampling method. A total of 103 ant species from 22 genera and 5 subfamilies were collected. We identified 10 potentially invasive species, amongst them two new species for the country: Solenopsis geminata and Solenopsis globularia . Another highly invasive species, Paratrechina longicornis , was the most abundant species collected throughout the country. Potentially invasive ant species co-occurred with non-invasive species, and contributed importantly to the structure of ant assemblages of all sampled urban habitats. The present study provides evidence that introduced and invasive ant species are established in cities of Cote d’Ivoire, often in high numbers and are occurring over large areas of invasion.
Multifeatures Fusion and Nonlinear Dimension Reduction for Intelligent Bearing Condition Monitoring

Condition-based maintenance is critical to reduce the costs of maintenance and improve the production efficiency. Data-driven method based on neural network (NN) is one of the most used models for mechanical components condition recognition. In this paper, we introduce a new bearing condition recognition method based on multifeatures extraction and deep neural network (DNN). First, the method calculates time domain, frequency domain, and time-frequency domain features to represent characteristic of vibration signals. Then the nonlinear dimension reduction algorithm based on deep learning is proposed to reduce the redundancy information. Finally, the top-layer classifier of deep neural network outputs the bearing condition. The proposed method is validated using experiment test-bed bearing vibration data. Meanwhile some comparative studies are performed; the results show the advantage of the proposed method in adaptive features selection and superior accuracy in bearing condition recognition.
File Content Exploration using Dictionary Based Pattern Detection

File content exploration is a critical task since many cyber attacks utilize infected les in order to gain control of a victim’s machine. These les are usually crafted so they look like an innocent text, PDF or pictures. Once they are opened in a viewer’s program, they can infect the system without the user’s awareness. In this thesis, a novel method for exploring content of les is presented. This method makes use of dictionary learning framework and generalizes the notion of sparse representations to a broader idea which we call cost-based representation. This generalization allows to use a dictionary for classi cation purposes. It helps to detect contents of les data fragments. The experimental results show that the algorithm called Restricted Orthogonal Matching Pursuit (R-OMP), which implements the cost-based approach, improves current results on content classication. The R-OMP algorithm is also theoretically supported and its operation is proved.