Miracle-dz/UniFAR-FTUs huggingface dataset:
The New Zealand Digital Library Project

The New Zealand Digital Library project is a research programme in the Computer Science Department at Waikato University, whose aim is not to set up new libraries but to develop the underlying technology for digital libraries and make it available publicly so that others can use it to create their own collections. We are concerned with large collections of electronic, predominantly textual, documents, physically dispersed on computers the world over, and aim to make them accessible through a uniform interface that allows information to be located and accessed. This article describes the NZDL project, illustrated by a large example collection of Computer Science Technical Reports. The system is freely available on the World-Wide Web. The migration of information from paper to computers promises to change the whole nature of research, and in particular the methods by which people locate information. The goal of the New Zealand Digital Library project is to explore the potential of Internet-based digital libraries, by which we mean large collections of electronic, predominantly textual, documents, physically dispersed on computers the world over, which are accessible through a uniform interface that allows information to be located and accessed. Our vision is to develop systems that automatically impose structure on fundamentally anarchic, uncatalogued, distributed repositories of information, thereby providing users with effective tools to locate the information they need and peruse it conveniently and comfortably. As a geographically isolated but technologically advanced nation, New Zealand stands to gain markedly from effective deployment of information resources that are freely available on international computer networks. The New Zealand Digital Library project is a research programme in the Computer Science Department at Waikato University, funded in part by the NZ Foundation for Research, Science and Technology and the NZ Lotteries Grants Board. Our aim is not to set up new libraries, but to develop the underlying technology for digital libraries and make it available publicly so that others can use it to create their own collections. Not surprisingly, the technology required varies greatly depending on the kind of collection and the source of the information. Consequently, we are making several different large collections of public-domain text available on an experimental basis as test cases. These allow us to investigate the technical problems of gathering and indexing the material, to assess the useability of our interfaces, and to collect information on external usage so that we can improve the facilities offered. We call this testbed the “NZDL” to distinguish it from our research programme. This article begins by presenting the facilities offered by the NZDL. We then discuss the indexing and retrieval strategies that it supports, and go on to explain how the collection is built and maintained. Finally we indicate likely directions that our project will be taking in the future.
Kinesin follows the microtubule's protofilament axis

We tested the hypothesis that kinesin moves parallel to the microtubule's protofilament axis. We polymerized microtubules with protofilaments that ran either parallel to the microtubule's long axis or that ran along shallow helical paths around the cylindrical surface of the microtubule. When gliding across a kinesin-coated surface, the former microtubules did not rotate. The latter microtubules, those with supertwisted protofilaments, did rotate; the pitch and handedness of the rotation accorded with the supertwist measured by electron cryo- microscopy. The results show that kinesin follows a path parallel to the protofilaments with high fidelity. This implies that the distance between consecutive kinesin-binding sites along the microtubule must be an integral multiple of 4.1 nm, the tubulin monomer spacing along the protofilament, or a multiple of 8.2 nm, the dimer spacing.
Exploration of verbal and non-verbal semantic knowledge and autobiographical memories starting from popular songs in Alzheimer's disease

ABSTRACT Background: In mild Alzheimer's disease (AD), a deficit in episodic memory, particularly autobiographical memory, is clearly established. Several recent studies have also shown impaired semantic memory from the onset of the disease. Musical memory capacities may be especially preserved and listening to music might encourage autobiographical recall. The aim of this study was to explore recall of popular songs in AD. Methods: We tested 12 patients with mild AD and 12 control subjects. We created a tool made up of old French popular songs: POP 10. This tool is a questionnaire composed of several subtests: melodic free recall, chorus free recall, melodic recognition, chorus recognition, semantic knowledge, autobiographical recall about the song, and autobiographical recall about the interpreter. Results: We used non-parametric tests, the Mann–Whitney test (M–W), the Friedman test, and the a posteriori Wilcoxon test. Results of AD patients were rather similar to those of control participants for melodic memory. Concerning chorus memory (except recognition), semantic knowledge, and autobiographical recall about the interpreter, results of AD patients were significantly weaker than those of control participants. The most important result concerned autobiographical recall about the song: we found no impairment-related differences between the two groups. Conclusion: Our findings demonstrate that popular songs can be excellent stimuli for reminiscence, such as the ability to produce an autobiographical memory related to a song. Thus, we confirm that musical semantic knowledge associated with a song may be relatively preserved in the early stages of AD. This leads to new possibilities for cognitive stimulation.
Steady and dynamic performance analysis of a single-sided linear induction motor

The train propelled by a single-sided linear induction motor (SLIM) has been paid much attention recently by both academia and industry. The SLIM drive has advantages such as the direct thrust without the need of friction between wheel and railway track, small cross-sectional area, lack of gear box, and flexible line choice thanks to the greater climbing capability and smaller turning circle compared with a rotary machine drive. However, the SLIM has longitudinal end effect and half-filled slots for its cut-open primary magnetic circuit, which could reduce the air gap average flux linkage and thrust. This paper, based on winding function method, supposes that the SLIM has three groups of windings: primary, secondary fundamental, and secondary end effect windings. The proposed method can consider the actual winding distribution and structure information, and can calculate the mutual-, self-, and leakage inductances for describing the influence of longitudinal end effect and half-filled slots. Then, a new equivalent model is presented to analyze different dynamic and steady state performances. The comprehensive comparison between simulations and experiments indicates that the proposed model can be applied for the SLIM performance prediction and control scheme evaluation.
A full procedure to model integrated magnetics based on FEA

The use of magnetic components containing winding as in different core legs is a common practice in order to integrate a transformer and an inductor in the same magnetic core (integrated magnetics). The use of a model for these components is a helpful tool to aid the designer in order to select the adequate winding strategy. This work presents a full procedure to generate a 2D finite element analysis (FEA) based model for integrated magnetics. Since the model is based on the application of FEA tools, the model is frequency dependent and takes into consideration the materials and winding disposition of the magnetic component.
The Advancing Field of Cell‐Based Therapy: Insights and Lessons From Clinical Trials

Stem cell therapy aimed at restoring organ function, notably myocardial repair and regeneration postmyocardial infarction (MI), is one of the most exciting and promising frontiers of medical research. While new pharmacotherapies and advances in interventional cardiology have significantly reduced the mortality of ischemic heart disease and heart failure, there remains an ongoing need for innovative cellbased therapies that can prevent or reverse cardiac ventricular remodeling post-MI. Although questions remain on how to best implement cell-based interventions, a growing number of preclinical studies and clinical trials have demonstrated the safety of a variety of adult stem cell types. This review will focus on the collective progress in cardiovascular regenerative medicine, with particular emphasis on the findings from the most recently published or announced clinical trials: the
Revision Towers

The use and development of open source software has increased significantly within the last decade. With it has come an increased, and necessary, use of version control tools to provide project management. A typical repository contains a mine of information that is not always obvious, and not easy to comprehend in its plain form. A visualisation has been created from this information to display how the repository has evolved. The visualisation allows the user to see where the active areas of the project are, how often, and how, changes are made, and how work is shared out across the project. Colour, layout and animation are all important features of the visualisation. In addition, issues of the importance and use of animation and consistency are raised A prototype tool has also been developed to show how the visualisation works in practice.
Descending Projections from the Substantia Nigra and Retrorubral Field to the Medullary and Pontomedullary Reticular Formation

We have investigated the projection from the substantia nigra to the pontomedullary reticular formation in the rat using both retrograde and anterograde neuroanatomical tracers. Injections of a conjugate of wheatgerm agglutinin with horseradish peroxidase into the medullary or pontomedullary reticular formation resulted in the retrograde labelling of a continuous band of cells extending from the caudal half of the dorsolateral substantia nigra into the retrorubral field. Injections of the anterograde tracer Phaseolus vulgaris leukoagglutinin (PHA‐L) into either the dorsolateral substantia nigra or the caudally adjacent retrorubral field revealed a descending projection to the lateral medullary and pontomedullary brainstem, which terminated mainly within the lateral (parvicellular) reticular formation. The anterograde PHA‐L fibre labelling ran throughout the rostrocaudal extent of the parvicellular reticular formation and extended into the caudally continuous region, the medullary dorsal and medullary ventral reticular formation, where it tapered off. Also labelled, although more lightly, were the rostral and ventrolateral regions of the nucleus of the solitary tract and the magnocellular reticular formation. Electron microscopy established that the PHA‐L‐labelled fibres formed synaptic contacts with nerve cell bodies and dendrites in the parvicellular reticular formation. It is suggested that one role of this nigroreticular pathway might be to connect the basal ganglia with brainstem premotor neurons that influence orofacial musculature.
Aerial images analysis for the extraction of geographical entities

The extraction and classification of geographical entities from aerial images has grown in importance in the last years, due to its wide applicability in different research areas. From the others, the GIS (Geographic Information System) topic is one of the most interesting, for both practical and theoretical motivations. In this context, annotation and classification of aerial images are used for different objectives, as creating vectorial representations, validating existing data, finding disagreements between older representations and current situations (to discover abusive buildings, for example), or moreover performing some kind of content-based retrieval on raster data [1]. Moreover, the identification and classification of the symbols of interest from raster data is the basic step towards the integration between raster and vector data. In the literature, many approaches have been proposed in the last years: for a review of the automatic object extraction techniques recently proposed see [2]; for another interesting survey on roads extraction, see [3]. In this paper a new complete extraction scheme is proposed, able to extract all the important entities from an aerial image. The method treats separately the extraction of fields, woods and buildings from the extraction of roads. The former issue is addressed with a quite conservative color segmentation (performed in the HSI color space), followed by a region growing approach (with a hysteresis thresholding mechanism). The latter issue is addressed by a probabilistic contour tracking approach [4], able to follow roads in highly urbanized areas. The high density of roofs and the agglomerate road networks, together with the occlusions due to cars and shadows, makes the extraction of these kinds of entities very difficult. Experimental evaluation on real highly complex images showed that the proposed method is able to extract most part of the geographical entities present in the image, ∗Corresponding author: tel: +39 045 8027072 fax: +39 045 8027968
Micro-particle filter made in SU-8 for biomedical applications

We have integrated a micro-particle filter in a polymer cantilever to filter micro-particles from a fluid while simultaneously measuring the amount of filtered particles. In a 3,8 µm thick SU-8 cantilever a filter was integrated with pore sizes between 3 and 30 µm. The chip was inserted in a microfluidic system and water with differently sized polystyrene beads was pumped through the filter. Particles which are larger than the pore sizes, cannot pass the filter and will increase the flow resistance of the cantilever. With more and more captured particles the cantilever starts to deflect, which can be detected by an optical read-out system.
Preparation and characterisation of electrolytically deposited ceramic coating on stainless steel

Abstract Ceramic coatings are widely used to protect metals against oxidation at high temperatures. In order to obtain ceramic layers with strong metal substrate adhesion, an original method has been developed. It involves pretreatment of the metal surface to form a functional conversion coating, characterised by strong interfacial adhesion with the substrate and by a particular morphology. Its particular texture allows the cathodic deposition of alumina and/or zirconia during electrolysis of aluminium and/or zirconium salt solutions. After heating, the coating presents a continuous composition gradient with refractory compounds at the surface. This electrochemical method offers a relatively easy way to establish coating composition and enables the preparation of a mixed ceramic layer. Results for Al2O3-ZrO2 coating preparation are presented. The electrochemical behaviour and chemical composition are analysed. Electrolytic bath composition, electrochemical parameters, and coating composition are correlated.
Temporally Coherent Video Saliency Using Regional Dynamic Contrast

Saliency detection for images and videos has become increasingly popular due to its wide applicability. In this paper, we present a new method that takes advantage of region-based visual dynamic contrast to generate temporally coherent video saliency maps. The concept of visual dynamics is formulated to represent both visual and motional variabilities of video content. Moreover, the regions are regarded as primitives for saliency computation by using spatiotemporal appearance contrasts. Then, region matching is performed across successive video frames to form temporally coherent regions, which are computed on the basis of spatiotemporal similarity in the visual dynamics of the different regions along the optical flow in the video. The region matching can effectively eliminate saliency discontinuities, particularly in the areas of oversegmentation that are otherwise highly problematic. The proposed approach is tested on a challenging set of video sequences and is compared with contemporary methods to demonstrate its superior performance in terms of its computational efficiency and ability to detect salient video content.
Proposing and Evaluating Clone Detection Approaches with Preprocessing Input Source Files

SUMMARY So far, many approaches for detecting code clones have been proposed based on the different degrees of normalizations (e.g. removal of white spaces, tokenization, and regularization of identifiers). Different degrees of normalizations lead to different granularities of source code to be detect as code clones. To investigate how the normalizations impact the code clone detection, this study proposes six approaches for detecting code clones with preprocessing input source files using different degrees of normalizations. More precisely, each normalization is applied to the input source files and then equivalence class partitioning is performed to the files in the preprocessing. After that, code clones are detected from a set of files that are representatives of each equivalence class using a token-based code clone detection tool named CCFinder. The proposed approaches can be categorized into two types, approaches with non-normalization and normalization. The former is the detection of only identical files without any normalization. Meanwhile, the latter category is the detection of identical files with different degrees of normalizations such as removal of all lines containing macros. From the case study, we observed that our proposed approaches detect code clones faster than the approach that uses only CCFinder. We also found the approach with non
Spatial Modulation via 3-D Mapping

This letter proposes a jointly mapped spatial modulation (JM-SM) scheme to break through the constraint on the number of transmit antennas in traditional SM systems. It is realized via jointly mapping the transmit information bits to 3-D constellation points. A 3-D constellation design scheme for a JM-SM is analyzed and established by minimizing the system average bit error probability (ABEP). In addition, the extension of the joint 3-D mapping to generalized spatial modulation is discussed. The simulation results show that the proposed schemes can be adapted to multiple-input multiple-output systems with an arbitrary number of transmit antennas and offer better ABEP performance than those existing schemes.
Numerical Analysis of Impact Deformation and Failure in Composite Plates

The analytical problem of transverse impact by a rigid body on a rectan gular composite plate is considered. The calculation of displacements, deformations and stresses in conjunction with the characteristics of impact contact interaction is provided. The analysis of transverse stresses arising under short-time impulse in graphite/epoxy and organic glass/polymeric adhesive laminated plates is performed. The results illustrating dependencies of a contact force on time are given for various levels of mass and velocity of the impactor at the prescribed impact energy. The analysis of impact damage zones in a three-ply and a five-ply graphite/epoxy laminate (particularly, having soft polymeric in terleaves) is presented for the case of 2-2.5 J impact energy and different mass and veloc ity combinations. The changing of the failure mode increasing the impactor velocity (decreasing the mass) is followed up.
Statistical Machine Translation with Long Phrase Table and without Long Parallel Sentences

In this study, we paid attention to the reliability of phrase table. To make phrase table, We have been used Och’s method[3]. And this method sometimes generate completely wrong phrase table. We found that such phrase table caused by long parallel sentences. Therefore, we removed these long parallel sentences from training data. Also, we utilized general tools for statistical machine translation, such as ”Giza++”[4], ”moses”[5], and ”training-phrase-model.perl”[6]. We obtained a BLEU score of 0.2229 of the Intrinsic-JE task and 0.2393 of the Intrinsic-EJ task for our proposed method. On the other hand, we obtained a BLEU score of 0.2162 of the Intrinsic-JE task and 0.2533 of the Intrinsic-EJ task for a standard method. This means that our proposed method was effective for the Intrinsic-JE task. However, it was not effective for the Intrinsic-EJ tasks. Also, our system was average performance of all system. For example, our system was the 20th place in 34 system for Intrinsic-JE task and the 12th place in 20 system for Intrinsic-EJ task.
Rapid, Field-Adapted Indirect Enzyme-Linked Immunosorbent Assay for Detection of Antibodies in Bovine Whole Blood and Serum to Brucella abortus

ABSTRACT A simple, rapid, field-adapted indirect enzyme-linked immunoassay (FldELISA) for the detection of antibodies to Brucella abortus in whole blood and serum has been developed. This assay detects antibodies to B. abortus in approximately 15 min or less. Over a 3-month period, this assay has consistently identified immunized and nonimmunized animals, while the percent coefficient of variation for each immunized animal has been less than 20%. As with any indirect enzyme-linked immunoassay, quality control can be established and maintained. Using defined positive and negative sera, the sensitivity and specificity of the FldELISA was 100% and 94.2%, respectively. As a model, this test can be readily extended to other disease applications that use lipopolysaccharide or other stable antigens for the detection of antibodies, such as those to Salmonella spp. , Escherichia coli, or Yersinia spp.
The effect of some antibiotic-resistance-conferring plasmids on the removal of the heat-aggregated proteins from Escherichia coli cells.

We found that the presence of plasmids expressing tetracycline resistance or chloramphenicol resistance genes, but not those expressing ampicillin resistance or kanamycin resistance genes, in Escherichia coli led to the retardation of the process of removal of the heat-aggregated proteins (i.e. the S fraction) from the bacterial cells. The presence of chloramphenicol acetyltransferase in the S fraction is demonstrated. Moreover, we observed that the expression of T7 RNA polymerase gene had an influence on S fraction removal. These results suggest that high level production of some heterologous proteins which are accumulated in the cytoplasm, but not proteins exported through the cell membranes, may cause overloading of the S fraction and delay in the removal of heat-aggregated proteins from bacterial cells.
Recall-Oriented Learning for Named Entity Recognition in Wikipedia

We consider the problem of NER in Arabic Wikipedia, a semi-supervised domain adaptation setting for which we have no labeled training data in the target domain. To facilitate evaluation, we obtain annotations for articles in four topical groups, allowing annotators to identify domain-specific entity types in addition to standard categories. Standard supervised learning on newswire text leads to poor target-domain recall. We train a sequence model and show that a simple modification to the online learner—a loss function encouraging it to “arrogantly” favor recall over precision—substantially improves recall and F1. We then employ self-training on unlabeled target-domain data in order to adapt our model; enforcing the same recall-oriented bias in the self-training stage yields additional gains.