Miracle-dz/UniFAR-FTUs huggingface dataset:
Design checks for Java accessibility

The accessibility of application components is key to enhancing the usability, ergo the user experience, of profoundly blind computer users. However, this accessibility is hampered when platform independent applications are developed because the normal operating system / application interface is abstracted. This means that implicit information inferred by the operating system in platform specific builds is not available in platform independent developments. The current most common platform independent language is Java and the key interface environment for Java is a set of Java Foundation Classes (JFC) known as 'Swing'. Based on faults, identified from conducting systematic testing of Swing applications, we have developed a web-based programming manual for writing accessible Java applications and checking their accessibility. Here, we present the major points from this manual as an abridged set of programming checks to help programmers overcome many of the technical errors that lead to accessibility faults when programming Swing.
A&a Manuscript No. Astronomy and Astrophysics Particle-acceleration and Radiation in the Turbulent Ow of a Jet

We present a numerical model for electron acceleration and radiation inside the body of an extra-galactic jet. We model the jet environment as a turbulent medium generating non-linear structures (eddies and/or shocks) through a cascading process. These structures act like in-situ accelerators for the electrons that are initially injected from the central engine. Two types of acceleration processes are considered: second order Fermi-acceleration and shock-drift acceleration, depending on the velocity of the turbulent eddies encountered. We study the modulation of the energy distribution of electrons in such an environment, by incorporating synchrotron radiation losses in the time intervals between successive interactions of the particles with the turbulent structures. By performing a parametric study with respect to the level of turbulent activity and the time intervals between interactions, we calculate the temporal evolution of the cut-oo frequency of the synchrotron radiation spectrum of the particles and discuss our results in connection with recent observations.
Widgets , Planets , and Demons : The Case for the Integration of Human , Embedded , and Virtual Agents via Mediation

We present a unified conceptual framework for the integration of Human agents, Embedded sensory-enabled robotic agents, and autonomous Virtual agents, which communicate via a central Mediator (see Figure 1). The three different agent groups may have different goals and even different tasks. The mediator takes messages from any of the three groups of agents, transforms the messages, and relays the information to the other groups. We call this unified framework, HEV-M. HEV-M formalizes this union of three disparate agent systems, and thus allows for a richer understanding of their interactions.
Temporal Gene Expression of the Cyanobacterium Arthrospira in Response to Gamma Rays

The edible cyanobacterium Arthrospira is resistant to ionising radiation. The cellular mechanisms underlying this radiation resistance are, however, still largely unknown. Therefore, additional molecular analysis was performed to investigate how these cells can escape from, protect against, or repair the radiation damage. Arthrospira cells were shortly exposed to different doses of 60Co gamma rays and the dynamic response was investigated by monitoring its gene expression and cell physiology at different time points after irradiation. The results revealed a fast switch from an active growth state to a kind of 'survival modus' during which the cells put photosynthesis, carbon and nitrogen assimilation on hold and activate pathways for cellular protection, detoxification, and repair. The higher the radiation dose, the more pronounced this global emergency response is expressed. Genes repressed during early response, suggested a reduction of photosystem II and I activity and reduced tricarboxylic acid (TCA) and Calvin-Benson-Bassham (CBB) cycles, combined with an activation of the pentose phosphate pathway (PPP). For reactive oxygen species detoxification and restoration of the redox balance in Arthrospira cells, the results suggested a powerful contribution of the antioxidant molecule glutathione. The repair mechanisms of Arthrospira cells that were immediately switched on, involve mainly proteases for damaged protein removal, single strand DNA repair and restriction modification systems, while recA was not induced. Additionally, the exposed cells showed significant increased expression of arh genes, coding for a novel group of protein of unknown function, also seen in our previous irradiation studies. This observation confirms our hypothesis that arh genes are key elements in radiation resistance of Arthrospira, requiring further investigation. This study provides new insights into phasic response and the cellular pathways involved in the radiation resistance of microbial cells, in particularly for photosynthetic organisms as the cyanobacterium Arthrospira.
A spherical eye from multiple cameras (makes better models of the world)

The paper describes an imaging system that has been designed specifically for the purpose of recovering egomotion and structure from video. The system consists of six cameras in a network arranged so that they sample different parts of the visual sphere. This geometric configuration has provable advantages compared to small field of view cameras for the estimation of the system's own motion and consequently the estimation of shape models from the individual cameras. The reason is that inherent ambiguities of confusion between translation and rotation disappear. We provide algorithms for the calibration of the system and 3D motion estimation. The calibration is based on a new geometric constraint that relates the images of lines parallel in space to the rotation between the cameras. The 3D motion estimation uses a constraint relating structure directly to image gradients.
High-Level Expression of Golsyn/Syntabulin in Glandular Epithelium and its Role in the Secretory Process

We recently identified a novel gene, named GOLSYN/Syntabulin, on human chromosome 8q23.2. In neurons, GOLSYN/Syntabulin functions as a molecule linking syntaxin 1-containing vesicles to kinesin, and thus plays an essential role in the transport of vesicles and mitochondria along neuronal processes. GOLSYN/Syntabulin is ubiquitously ex- pressed in most peripheral tissues besides various brain regions. However, the physiological function in the periphery re- mains unknown. In this study, we determined the expression of Golsyn/Syntabulin in various mouse organs by immuno- histochemical analysis using anti-GOLSYN antibody. Golsyn/Syntabulin was abundantly expressed in the glandular epi- thelium in the various peripheral organs examined: In exocrine glands, it was expressed in secretory cells, such as chief cells in the stomach and pancreatic acinar cells; and in endocrine glands, it was detected in pancreatic islet cells, which are endocrine cells that produce and release hormones including insulin and glucagon. The expression of Golsyn/Syntabulin was drastically decreased in pancreas and liver by fasting, but it was not affected in the testis, which has no secretory glands for food digestion. Subsequent refeeding recovered Golsyn/Syntabulin expression in pancreas and liver tissues to almost control levels, indicating the association of its expression with food intake. Further, administration of gastrin or pi- locarpine led to a remarkable increase in the expression level of Golsyn/Syntabulin in the pancreas. Since food intake, gastrin, and pilocarpine are known to stimulate the secretion of pancreatic enzymes, Golsyn/Syntabulin may play an im- portant role in the secretion process, including transport of secretory vesicles and/or exocytosis, in glandular epithelium.
Ambulation training for patients with acute stroke by Gait Trainer cyclic walking exercise and Functional Electrical Stimulation ( FES ) : a pilot

Gait trainer has been studied in stroke rehabilitation but the subject was limited in subjects with chronic stroke. This study evaluates the therapeutic effects of regular training (RT), gait trainer (GT) and cooperatively applying the functional electrical stimulation and gait trainer (GTFES) for acute stroke survivors with hemiparesis. Twenty-six nonambulatory hemiparetic subjects, two to four weeks after stroke, were randomly assigned into one of the three gait intervention groups. Eleven subjects were trained with RT, eight subjects were trained to walk on GT that substituted for usual physiotherapy gait training, and seven subjects in GT-FES group received extra electrical stimulation applied on lower limb during gait trainer training. Mobility, ambulation ability, gait speed and lower extremity strength were assessed before and after the training. After a 4-week training, using intention-to-treat analysis, all the outcome measures showed significant improvement in all the 3 groups. For betweengroup comparison of the different scores between the 0 week and the 4 weeks, the GT and GT-FES groups scored significantly higher than the RT group for Functional Ambulation Category. Patients after stroke trained by the gait trainer with or without FES resulted in higher ambulation independency than conventional gait training.
Investigation into the Influence of Physician for Treatment Based on Syndrome Differentiation

Background. The characteristics of treatment based on syndrome differentiation (TBSD) cause great challenges to evaluate the effectiveness of the clinical methods. Objectives. This paper aims to evaluate the influence of physician to personalized medicine in the process of TBSD. Methods. We performed a randomized, triple-blind trial involving patients of primary insomnia treated by 3 physicians individually and independently. The patients (n = 30) were randomly assigned to receive treatments by the 3 physicians for every visit. However, they always received the treatment, respectively, prescribed by the physician at the first visit. The primary outcome was evaluated, respectively, by the Pittsburgh Sleep Quality Index (PSQI) and the TCM symptoms measuring scale. The clinical practices of the physicians were recorded at every visit including diagnostic information, syndrome differentiation, treating principles, and prescriptions. Results. All patients in the 3 groups (30 patients) showed significant improvements (>66%) according to the PSQI and TCM symptoms measuring scale. Conclusion. The results indicate that although with comparable effectiveness, there exist significant differences in syndrome differentiation, the treating principles, and the prescriptions of the approaches used by the 3 physicians. This means that the physician should be considered as an important factor for individualized medicine and the related TCM clinical research.
Fuzzy based decision support method for selection of sustainable wastewater treatment technologies

Abstract : Inadequate decision support tools have led to selection of inappropriate wastewater treatment technologies. The objectives of this research were to investigate performance data for wastewater treatment technologies, develop a D ecision S upport M ethod (DSM) for evaluating performance of technologies, and to validate the developed method. The method was developed through evaluation of performance of wastewater treatment technologies against environmental and economic indicators. Fuzzy logic techniques in form of linguistic variables were applied in order to support decision making under uncertainty. The DSM relied on performance evaluation in order to rate effectiveness of wastewater treatment technologies. DSM was validated through a training tool in ED-WAVE, a model developed by a consortium of European and Asian countries. The reliance of the DSM on performance evaluation was an improvement on the existing decision support tools such as ED-WAVE that relied on retrieval of past performance data. As DSM integrated environmental and economic factors in evaluating wastewater treatment technologies, it was thus able to select a process that was not only environmentally sustainable but also economically affordable. Keywords: d ecision support method , w astewater treatment technologies , e nvironmental indicators , p erformance rating , f uzzy logic , ED-WAVE DOI: 10.3965/j.issn. 1934-6344.20 11 . 0 1 . 0 41 -0 51 Citation: Martin I. Kamami, George M. Ndegwa, Patrick G. Home . Fuzzy b ased d ecision s upport m ethod for s election of s ustainable w astewater t reatment t echnologies . Int J Agric & Biol Eng, 20 11 ; 4 ( 1 ): 41
Co-Circulation and Genomic Recombination of Coxsackievirus A16 and Enterovirus 71 during a Large Outbreak of Hand, Foot, and Mouth Disease in Central China

A total of 1844 patients with hand, foot, and mouth disease (HFMD), most of them were children of age 1–3-year-old, in Central China were hospitalized from 2011 to 2012. Among them, 422 were infected with coxsackievirus A16 (CVA16), 334 were infected with enterovirus 71 (EV71), 38 were co-infected with EV71 and CVA16, and 35 were infected with other enteroviruses. Molecular epidemiology analysis revealed that EV71 and CVA16 were detected year-round, but EV71 circulated mainly in July and CVA16 circulated predominantly in November, and incidence of HFMD was reduced in January and February and increased in March. Clinical data showed that hyperglycemia and neurologic complications were significantly higher in EV71-infected patients, while upper respiratory tract infection and C-reactive protein were significantly higher in CVA16-associated patients. 124 EV71 and 80 CVA16 strains were isolated, among them 56 and 68 EV71 strains were C4a and C4b, while 25 and 55 CVA16 strains were B1a and B1b, respectively. Similarity plots and bootscan analyses based on entire genomic sequences revealed that the three C4a sub-genotype EV71 strains were recombinant with C4b sub-genotype EV71 in 2B–2C region, and the three CVA16 strains were recombinant with EV71 in 2A–2B region. Thus, CVA16 and EV71 were the major causative agents in a large HFMD outbreak in Central China. HFMD incidence was high for children among household contact and was detected year-round, but outbreak was seasonal dependent. CVA16 B1b and EV71 C4b reemerged and caused a large epidemic in China after a quiet period of many years. Moreover, EV71 and CVA16 were co-circulated during the outbreak, which may have contributed to the genomic recombination between the pathogens. It should gain more attention as there may be an upward trend in co-circulation of the two pathogens globally and the new role recombination plays in the emergence of new enterovirus variants.
Parametric R-Tree: An Index Structure for Moving Objects

We describe an indexing method for parametric rectangles that were recently proposed in [6] to represent moving objects. Parametric rectangles are a more natural representation of moving objects than moving points. Our indexing method extends R-trees, with the following important modications among others: (i) denition of parametric rectangle trees, or PR-trees (ii) searching a PR-tree for intersection queries (iii) insertion into PR-trees (iv) deletion from PRtrees. These modied operations need new algorithms for nding a minimum bounding parametric rectangle (MBPR) of a set of parametric rectangles and a new insertion and splitting criteria and algorithms. Experiments show that PR-trees provide a signican t improvement over R-trees for intersection queries with moving rectangles.
Robust sliding mode observer-based actuator fault detection and isolation for a class of nonlinear systems

In this paper, an actuator fault detection and isolation scheme for a class of nonlinear systems with uncertainty is considered. The uncertainty is allowed to have a nonlinear bound which is a general function of the state variables. A sliding mode observer is established first based on a constrained Lyapunov equation. Then, the equivalent output error injection signal is employed to reconstruct the fault signal using the characteristics of the sliding mode observer and the structure of the uncertainty. Finally, a simulation study of the HIRM aircraft system is presented to show the effectiveness of the scheme.
SYMPOSIUM 2: LANGUAGE AND NUMERICAL SKILLS

The aim of this symposium is to examine the relationship between language and numerical skills by providing an overview of the most recent functional imaging and neuropsychological studies. The recent development of neuroimaging methods indeed provides a powerful tool for investigating the interplay of these two cognitive functions. A further source of information comes from the new interest in the neuropsychology of disorders such as the Turner’s syndrome. This condition provides, in fact, the opportunity to study a genetically determined dissociation between linguistic and mathematical skills. In the introductory presentation, Delazer and Girelli will outline the historical background and current issues regarding the relationship between language and numerical processing. Brian Butterworth and co-workers will present data on the linguistic and numerical abilities of subjects with Turner’s syndrome: this genetic abnormality is known to be associated with poor mathematical performance. The observed cognitive profiles will be discussed in light of both neuroanatomical and genetic data. Thiuox, Seron, and Pesenti have examined, using PET, the neuroanatomical substrates of numerical semantic processing and they have directly confronted processing of number and processing of words in the living category. Code and collaborators will report the outcome of their PET study on the cerebral circuits supporting mental calculation; their attention is paid to separate linguistic and nonlinguistic components. Finally, Dehaene and Cohen will provide fMRI data elucidating the cerebral networks engaged in various numerical tasks. In particular they distinguish and localize language-specific and quantity-specific representations mediating simple arithmetic. Outline of the symposium (Chair: Carlo Semenza). 1. Margarete Delazer and Luisa Girelli. Language and numerical skills: An introduction to past and present issues. 2. Brian Butterworth, Alessia Granà, Manuela Piazza, Luisa Girelli, Cathy Price, and David Skuse. Language and the origins of number skills: Karyotypic differences in Turner’s syndrome.
Research for pedestrian detection classifier

The image features play an important role in object detection and recognition, the method of object detection based on Histogram of Oriented Gradient(HOG) for its good detection result receives extensive attention to many researchers. This article describes the approaches to Histogram of Oriented Gradient and support vector machine, focusing on studying the HOG feature and application, detailing the process of HOG feature extracted and the design of classifiers in pedestrian detection. In this paper, pedestrian sample library was built and the Histogram of Oriented Gradient feature of the samples was extracted. The pedestrian classifier was obtained by using support vector machine and the performance of the classifier was tested.
Lossless Reduction of Datacubes using Partitions

Datacubes are especially useful for answering efficiently queries on data warehouses. Nevertheless the amount of generated aggregated data is huge with respect to the initial data which is itself very large. Recent research has addressed the issue of a summary of Datacubes in order to reduce their size. The approach presented in this paper fits in a similar trend. We propose a concise representation, called Partition Cube, based on the concept of partition and we give a new algorithm to compute it. We propose a Relational Partition Cube, a novel ROLAP cubing solution for managing Partition Cubes using the relational technology. Analytical evaluations show that the storage space of Partition Cubes is smaller than Datacubes. In order to confirm analytical comparison, experiments are performed in order to compare our approach with Datacubes and with two of the best reduction methods, the Quotient Cube and the Closed Cube.
Development of analytical flat phantom model for EM radiation to evaluate specific absorption rate (SAR) in human body

This paper presents a full three-dimensional analytical flat phantom model in rectangular coordinates for EM radiation to evaluate the Specific Absorption rate (SAR) in human body. The finite difference time domain (FDTD) is used in calculating the interaction of EM fields with complex, lossy dielectric bodies. At time t=0, a continuous sinusoid plane-wave source of frequency f is assumed to turn on. After the incident plane wave has irradiated the body for a time sufficiently long to give convergence (typically two to three time periods of oscillation), the local specific absorption rate (SAR) at each cell in the body is calculated using the equation: SAR = sigma|E|2/rho. With sigma is the electric conductivity of the tissue in S/m , rho is the mass density in Kg/m3 , and E is the root-mean-square (rms) magnitude of the electric field strength in (V/m) inside the material [1].
Facets In HCI: Towards Understanding Eudaimonic UX -- Preliminary Findings

In recent years, researchers aimed to understand different facets of positive experiences with technology. Positive psychology, and recently also HCI, makes use of a hedonia/ eudaimonia distinction. Hedonia is understood as providing enjoyable experiences, whereas eudaimonia is associated with meaningful experiences. However, it is not clear how eudaimonia manifests in the HCI context. The aim of this explorative study is to provide empirical evidence for eudaimonia in HCI and outline what characterizes hedonic and eudaimonic user experiences. Results indicate that hedonic and eudaimonic user experiences often seem to occur at the same time. Preliminary analysis of user narratives show rich data and experiences with a huge range of different devices are described. Based on these findings further implications and research possibilities are discussed.