Miracle-dz/UniFAR-FTUs huggingface dataset:
University ’ s repository of research publications and other research outputs CORE : a tool for collaborative ontology reuse and evaluation Conference or Workshop Item

Ontology evaluation can be defined as assessing the quality and the adequacy of an ontology for being used in a specific context, for a specific goal. In this work, a tool for Collaborative Ontology Reuse and Evaluation (CORE) is presented. The system receives an informal description of a semantic domain and determines which ontologies, from an ontology repository, are the most appropriate to describe the given domain. For this task, the environment is divided into three main modules. The first component receives the problem description represented as a set of terms and allows the user to refine and enlarge it using WordNet. The second module applies multiple automatic criteria to evaluate the ontologies of the repository and determine which ones fit best the problem description. A ranked list of ontologies is returned for each criterion, and the lists are combined by means of rank fusion techniques that combine the selected criteria. A third component of the system uses manual user evaluations of the ontologies in order to incorporate a human, collaborative assessment of the quality of ontologies.
A datapath synthesis system for the reconfigurable datapath architecture

A datapath synthesis system (DPSS) for the reconfigurable datapath architecture (rDPA) is presented. The DPSS allows automatic mapping of high level descriptions onto the rDPA without manual interaction. The required algorithms of this synthesis system are described in detail. Optimization techniques like loop folding or loop unrolling are sketched. The rDPA is scalable to arbitrarily large arrays and reconfigurable to be adaptable to the computational problem. Fine grained parallelism is achieved by using simple reconfigurable processing elements which are called datapath units (DPUs). The rDPA can be used as a reconfigurable ALU for bus oriented systems as well as for rapid prototyping of high speed datapaths.
Create visual word pairs dynamically based on sparse codes of SIFT features for image categorization

Image categorization is an important issue in computer vision. The bag-of-visual words(BOV) model which ignores spatial restriction of local features has gained state-of-the-art performance in recent years. The basic BOV model uses k-means to form codebook. As sparse codes can better represent local features, we use sparse codes of SIFT features instead of k-means to form codebook. Additional, as local features in most categories have spatial dependence in real world, this paper proposed to use visual word pairs to represent the spatial information between words. To reduce the complexity both in time and storage, we add word pairs dynamically. Our experiments show that our algorithm can improve the categorization performance.
MILO: personal robot platform

Recent advances in mobile robotic technology has given rise to new types of robotic applications called personal robotics. The main feature of these applications is that they require low cost robots that involve assisting people in doing their everyday jobs such as providing personal assistance, commercial security, mobile tele-conferencing, tele-presence, home services, entertainment, and elderly care. In this paper we introduce a low cost and general purpose mobile robotic platform called MILO. It offers unique hardware and software features which make MILO suitable for a wide spectrum of personal robotic applications. MILO possesses PC architecture and runs on Windows XP. We have experimentally evaluated MILO's performance. Preliminary results show that MILO can be effectively used to develop personal robotic applications.
Is Brad Pitt Related to Backstreet Boys ? Exploring Related Entities

More than 40% web search queries pivot around a single entity, which can be interpreted with the available knowledge bases such as DBpedia and Freebase. With the advent of these knowledge repositories, major search engines are interested in suggesting the related entities to the users. These related entities provide an opportunity to the users to extend their knowledge. Related entities can be obtained from knowledge bases by retrieving the directly linked entities. However, many popular entities may have more than 1,000 directly connected entities without defining any associativity weight, and these knowledge bases mainly cover some specific types of relations. For instance, “Brad Pitt” can be considered related to “Tom Cruise” but they are not directly connected in DBpedia graph with any relation. Therefore, it is worth finding the related entities beyond the relations explicitly defined in knowledge graphs, and a ranking method is also required to quantify the relations between the entities. In this work, we present Entity Relatedness Graph (EnRG) that provides a ranked list of related entities to a given entity, and clusters them by their DBpedia types. Moreover, EnRG helps a user in discovering the provenance of implicit relations between two entities. With the help of EnRG, one can easily explore even the weak relations that are not explicitly included in the available knowledge bases, for instance, Why is “Brad Pitt” related to “Backstreet Boys”?
Why Theory Matters More than Ever in the Age of Big Data

It is an exhilarating and important time for conducting research on learning, with unprecedented quantities of data available. There is danger, however, in thinking that with enough data, the numbers speak for themselves. In fact, with larger amounts of data, theory plays an ever-more critical role in analysis. In this introduction to the special section on learning analytics and learning theory we describe some critical problems in the analysis of large-scale data that occur when theory is not involved. These range from the question of to which of the many possible variables a researcher should attend to how to interpret a multitude of micro-results and make them actionable. We conclude our comments with a discussion of how the collection of empirical papers included in the special section and the commentaries that were invited on them speak to these challenges, and in doing so represent important steps towards theory-informed and theory-contributing learning analytics work. Our ultimate goal is to provoke a critical dialogue in the field about the ways in which learning analytics work draws on and contributes to theory.
Methods matter: considering locomotory mode and respirometry technique when estimating metabolic rates of fishes

We estimated maximum metabolic rates (MMR) in four steady-swimming coral reef fishes - two body-caudal and two median-paired fin swimmers - using three different techniques. Differences between MMR estimates were not due to locomotory mode, but rather the method used to induce maximum performance, with swimming respirometry resulting in the highest estimates.
MicroRNA Expression Signature and Antisense-Mediated Depletion Reveal an Essential Role of MicroRNA in Vascular Neointimal Lesion Formation

MicroRNAs (miRNAs) are a recently discovered class of endogenous, small, noncoding RNAs that regulate about 30% of the encoding genes of the human genome. However, the role of miRNAs in vascular disease is currently completely unknown. Using microarray analysis, we demonstrated for the first time that miRNAs are aberrantly expressed in the vascular walls after balloon injury. The aberrantly expressed miRNAs were further confirmed by Northern blot and quantitative real-time polymerase chain reaction. Modulating an aberrantly overexpressed miRNA, miR-21, via antisense-mediated depletion (knock-down) had a significant negative effect on neointimal lesion formation. In vitro, the expression level of miR-21 in dedifferentiated vascular smooth muscle cells was significantly higher than that in fresh isolated differentiated cells. Depletion of miR-21 resulted in decreased cell proliferation and increased cell apoptosis in a dose-dependent manner. MiR-21–mediated cellular effects were further confirmed in vivo in balloon-injured rat carotid arteries. Western blot analysis demonstrated that PTEN and Bcl-2 were involved in miR-21–mediated cellular effects. The results suggest that miRNAs are novel regulatory RNAs for neointimal lesion formation. MiRNAs may be a new therapeutic target for proliferative vascular diseases such as atherosclerosis, postangioplasty restenosis, transplantation arteriopathy, and stroke.
Performance optimization in Torus-based optical networks-on-chip

In this paper, the insertion loss and crosstalk noise of M × N Torus-based optical networks-on-chip (ONoCs) is systematically analyzed, which caused performance degradation. The proposed analysis model can be applied to arbitrary 5×5 routers and Torus-based ONoCs. When traditional non-blocking five-port optical routers used in the original Torus structure, it's suffered lager Bit Error Rate (BER) in a small scale. The router optimization and angle optimization method is used for achieving a better quality of network communication and performance improvement. The numerical results show the signal-to-noise ratio (SNR) of the worst-case transmission link in Torus-based ONoCs with certain size. When the network scale of Torus-based ONoC is 6×6 and the input power is 0 dB, the SNR of Torus-based ONoC using Crux router is 21.66 dB, which is 7.06 dB higher than optimized Crossbar router. With angle optimization further used in router level and network level, the SNR can reach to 23.87 dB. Moreover, we also find that a better SNR can be got with M gradually close to N .
A novel multi-OS architecture for robot application

In this paper we present a new multi-OS architecture designed particularly for SMP platform that run RTOS and GPOS on different CPUs. No modification is needed on the GPOS side. With this architecture we can achieve high performance with little engineering cost. A prototype multi-OS called RGMP (RTOS and GPOS on Multi-Processor) has been implemented using Linux as GPOS and μC/OS-II as RTOS to verify its feasibility. The result shows it is faster than RTAI and two OSes won't affect each other. The applications of RGMP co-operating with ROS on robots are also illustrated.
Structure and morphology of the Alzheimer's amyloid fibril

Amyloid fibrils are deposited in a number of diseases, including Alzheimer's disease, Type 2 diabetes, and the transmissible spongiform encephalopathies (TSE). These insoluble deposits are formed from normally soluble proteins that assemble to form fibrous aggregates that accumulate in the tissues. Electron microscopy has been used as a tool to examine the structure and morphology of these aggregates from ex vivo materials, but predominantly from synthetic amyloid fibrils assembled from proteins or peptides in vitro. Electron microscopy has shown that the fibrils are straight, unbranching, and are of a similar diameter (60–100 Å) irrespective of the precursor protein. Image processing has enhanced electron micrographs to show that amyloid fibrils appear to be composed of protofilaments wound around one another. In combination with other techniques, including X‐ray fiber diffraction and solid state NMR, electron microscopy has revealed that the internal structure of the amyloid fibril is a ladder of β‐sheet structure arranged in a cross‐β conformation. Microsc. Res. Tech. 67:210–217, 2005. © 2005 Wiley‐Liss, Inc.
Effervescent tablets and ultrasonic devices against Candida and mutans streptococci in denture biofilm.

OBJECTIVE To evaluate the antimicrobial action of effervescent tablets and ultrasound on Candida spp. and mutans streptococci from denture biofilm. BACKGROUND It is not uncommon for edentulous patients to be elderly and find it difficult to brush their dentures. Hence, auxiliary methods are required for cleansing dentures as well as treating oral infections. MATERIALS AND METHODS Seventy-seven complete denture wearers were randomly assigned into four groups: (A) Brushing with water (control); (B) Effervescent tablets; (C) Ultrasonic device (Ultrasonic Cleaner, model 2840 D); (D) Effervescent tablets and ultrasonic device. All groups brushed their dentures with a specific brush and water, three times a day, before applying their treatments. Denture biofilm was collected at baseline and after 21 days. The samples were collected by brushing the dentures with saline and the detached microbial cells were quantified by plating. Counts [log (CFU+1) ml(-1) ] of total aerobes, Candida spp. and mutans streptococci were compared by one-way anova or Kruskal-Wallis test (α = 0.05). RESULTS No significant difference was found among the methods from C. albicans (p = 0.76), C. tropicalis (p = 0.94) and C. glabrata (p = 0.80). Lower counts were found for methods B and D when compared with the other methods against mutans streptococci (p < 0.001). Method B showed lower total aerobic counts than A, whereas C and D showed intermediate results (p = 0.011). CONCLUSION The effervescent tablets significantly reduced mutans streptococci and total aerobes from denture biofilm. However, they was not as effective against C. albicans. Ultrasonic cleansing presented a discrete antimicrobial effect and was less effective than the tablets for complete denture disinfection.
PREDICTION OF THE SHAPE ACCURACY OF PARTS FABRICATED 
BY MEANS OF FLM PROCESS USING FEM SIMULATIONS

The prediction of component properties from the Additive manufacturing (AM) process poses a challenge. Therefore, this paper presents the development of a novel machine data (G-Code) based procedure as well as its programming implementation of a process simulation in ANSYS Mechanical for the fused layer modelling (FLM) process. For this purpose, an investigation of additively produced components with varying parameters made of polylactic acid (PLA) is carried out and simulated by means of the developed method. Application of the developed method makes it possible to predict the thermally induced distortion of PLA-Parts based on the machine data from the FLM process before production.
DNA Damage Response is Prominent in Ovarian High-Grade Serous Carcinomas, Especially Those with Rsf-1 (HBXAP) Overexpression

DNA damage commonly occurs in cancer cells as a result of endogenous and tumor microenvironmental stress. In this study, we applied immunohistochemistry to study the expression of phosphorylated Chk2 (pChk2), a surrogate marker of the DNA damage response, in high grade and low grade of ovarian serous carcinoma. A phospho-specific antibody specific for threonine 68 of Chk2 was used for immunohistochemistry on a total of 292 ovarian carcinoma tissues including 250 high-grade and 42 low-grade serous carcinomas. Immunostaining intensity was correlated with clinicopathological features. We found that there was a significant correlation between pChk2 immunostaining intensity and percentage of pChk2 positive cells in tumors and demonstrated that high-grade serous carcinomas expressed an elevated level of pChk2 as compared to low-grade serous carcinomas. Normal ovarian, fallopian tube, ovarian cyst, and serous borderline tumors did not show detectable pChk2 immunoreactivity. There was no significant difference in pChk2 immunoreactivity between primary and recurrent high-grade serous carcinomas. In high-grade serous carcinomas, a significant correlation (P < 0.0001) in expression level (both in intensity and percentage) was found between pChk2 and Rsf-1 (HBXAP), a gene involved in chromatin remodeling that is amplified in high-grade serous carcinoma. Our results suggest that the DNA damage response is common in high-grade ovarian serous carcinomas, especially those with Rsf-1 overexpression, suggesting that Rsf-1 may be associated with DNA damage response in high-grade serous carcinomas.
Does Neurorehabilitation Play a Role in the Recovery of Walking in Neurological Populations? a

Abstract: This review demonstrates that neurorehabilitation approaches, based on recent neuroscience findings, can enhance locomotor recovery after a spinal cord injury or stroke. Findings are presented from more than 20 clinical studies conducted by numerous research groups on the effect of locomotor training using either body weight support (BWS), functional electrical stimulation (FES), pharmacological approaches or a combination of them. Among the approaches, only BWS‐assisted locomotor training has been demonstrated to have a greater effect than conventional or locomotor training alone. However, when study results were combined and weighted for the number of subjects, the results indicated that there is a gradient of effects from small changes with the immediate application of FES or BWS to larger changes when locomotor training is combined with FES or BWS or pharmacological approaches. The findings of these studies suggest that these neurorehabilitation approaches do play a role in the recovery of walking in subjects with spinal cord injury or stroke. Several factors contribute to the potential for recovery including the site, etiology, and chronicity of the injury, as well as the type, duration, and specificity of the intervention and whether interventions are combined. Furthermore, how these neurorehabilitation approaches may take advantage of the plasticity process following neurological lesion is also discussed.
The Investigation of Homovanillic Acid in the Human Brain and its Correlation to Senile Dementia

In a previous investigation, the concentration of homovanillic acid (HVA) seemed to be related to the degree of dementia (Gottfries et al., 1965). The object of the present work is the further study of the occurrence of HVA in the human brain, especially with regard to senile dementia. The hypothesis is that senile dementia is a disease with a disturbance in the monoamine metabolism, which is reflected in a reduction of HVA in the neostriatum.
License Plate Recognition Algorithm for Passenger Cars in Chinese Residential Areas

This paper presents a solution for the license plate recognition problem in residential community administrations in China. License plate images are pre-processed through gradation, middle value filters and edge detection. In the license plate localization module the number of edge points, the length of license plate area and the number of each line of edge points are used for localization. In the recognition module, the paper applies a statistical character method combined with a structure character method to obtain the characters. In addition, more models and template library for the characters which have less difference between each other are built. A character classifier is designed and a fuzzy recognition method is proposed based on the fuzzy decision-making method. Experiments show that the recognition accuracy rate is up to 92%.
Towards recognizing and rewarding efficient developer work patterns

Software engineering researchers develop great techniques consisting of practices and tools that improve efficiency and quality of software development. Prior work evaluates developers' use of techniques such as Test-Driven-Development and refactoring by measuring actions in the development environment. What we still lack is a method to communicate effectively and motivate developers to adopt best practices and tools. This work proposes a game-like system to motivate adoption while continuously measuring developers' use of more efficient development techniques.
Surgery for Drug-Resistant Epilepsy in Children.

n engl j med 377;17 nejm.org October 26, 2017 1639 From the Departments of Neurology (R.D., B.R., Manjari Tripathi), Neurosurgery (P.S.C.), Pediatrics (S.S., S.G.), Biostatistics (M.K., S.N.D.), Neuro-Radiology (A.G.), Nuclear Medicine (C.S.B., Madhavi Tripathi), Psychiatry (R.S.), and Pathology (C.S.), All India Institute of Medical Sciences, New Delhi, India. Address reprint requests to Dr. Manjari Tripathi at the Department of Neurology, All India Institute of Medical Sciences, Center of Excellence for Epilepsy and Magnetoencephalography Center, New Delhi, India 110029, or at mtripathiaiims@ gmail . com.
Contested Identities: gendered politics, gendered religion in Pakistan

Abstract In Pakistan, the self-serving use of Islam by more secular elements alongside politico-religious ones facilitated the latter's increasing influence and the conflation and intricate interweaving of Islam and Pakistani nationhood. A paradigm shift under Zia's martial law revamped society as much as state laws, producing both religiously defined militias and aligned civil society groups. Examining the impact on women of fusing religion and politics, this paper argues that women become symbolic markers of appropriated territory in the pursuit of state power, and that the impact of such fusing, different for differently situated women, needs to be gauged in societal terms as well as in terms of state dynamics. Questioning the positing of civil society as a self-evident progressive desideratum, the paper concludes that gender equality projects seeking reconfigurations of power cannot be effective without vigorously competing in the creation of knowledge, culture and identity.
Outage Behavior of Multi-Antenna Multi-Relay Non-Regenerative Cooperative Networks

To combat the multipath fading, the array gain is introduced to the cooperative system when multiple antennas is applied at relay nodes. Two cooperative schemes, i.e., the reactive and proactive relaying schemes are studied for the non-regenerative relaying, i.e., the Amplify-and-Forward (AF) mode. The results show that for a K relays network with each relay equips n_r antennas, both these two schemes can achieve order- (2n_r K+1) diversity. The optimal power allocation scheme among multiple relay nodes is given, which can be viewed as a modified water-filling algorithm, and improves the performance of the reactive scheme. Furthermore, these two schemes show performance gain over each other depending on the aggregate relay power in the AF mode.
Input evaluation: A new mechanism for collecting data using games with a purpose

Collecting data through a game with a purpose (GWAP) has become a popular approach due to its numerous benefits. However, lack of diversity in game mechanisms puts some limitations on the areas of application of GWAPs. In this paper, we introduce a new two-phase mechanism for collecting data via human-based computation games. In the first phase, the players are provided with an object and asked to use that object within the domain of the game. In the second phase the players are provided with randomly selected data produced by the other players in the first phase and asked to evaluate them. A new game called “Dil Cambazi” that collects sentences containing passivized intransitive Turkish verbs using this mechanism is introduced and cases where input-evaluation mechanism is most useful are discussed.