Miracle-dz/UniFAR-FTUs huggingface dataset:
Scalable dental computing on cyberinfrastructure

Dentistry is a particularly complex and sophisticated applied science; many problems have to be solved by analyzing intensive longitudinal data. For example, dynamic carious lesion assessment requires dental researchers to perform knowledge discovery in a situation with multiple specimens across different experimental phases. The technological development and availability of cyberinfrastructure today can enable dental researchers to perform existing procedures far faster and more accurately than ever. This paper uses dynamic carious lesion activity assessment as a case study, to illustrate how visual computing on advanced cyberinfrastructure can expand beyond statistical number crunching and information retrieval to make an imaginative and creative contribution to some aspects of dental science. Our work focuses on the generation of BIG pictures on cyberinfrastructure and the presentation of derived dental structures in an interactive means, which combine to allow researchers to navigate from observation to qualitative discovery and then to quantitative assessment with multiple variables and degrees of freedom. Our work has seen early use by our collaborators in oral health research, where our system has been used to pose and answer domain-specific questions for quantitative assessment of dynamic carious lesion activities.
Deep brain stimulation for refractory epilepsy

Deep brain stimulation (DBS) is a method of treatment utilized to control medically refractory epilepsy (RE). Patients with medically refractory epilepsy who do not achieve satisfactory control of seizures with pharmacological treatment or surgical resection of the epileptic focus and those who do not qualify for surgery could benefit from DBS. The most frequently used stereotactic targets for DBS are the anterior thalamic nucleus, subthalamic nucleus, central-medial thalamic nucleus, hippocampus, amygdala and cerebellum. The DBS is believed to be an effective method of treatment for various types of epilepsy among adults and adolescents. Side effects may be associated with implantation of electrodes and with the stimulation itself. An increasing number of publications and growing interest in DBS application for RE may result in standardization of the qualification and treatment protocol for RE with DBS.
Organizing Visions for Information Technology and the Information Systems Executive Response

Making sense of new information technology (IT) and the many buzzwords associated with it is by no means an easy task for executives. Yet doing so is crucial to making good innovation decisions. This paper examines how information systems (IS) executives respond to what has been termed organizing visions for IT, grand ideas for applying IT, the presence of which is typically announced by much "buzz" and hyperbole. Developed and promulgated in the wider interorganizational community, organizing visions play a central role in driving the innovation adoption and diffusion process. Familiar and recent examples include electronic commerce, data warehousing, and enterprise systems. A key aspect of an organizing vision is that it has a career. That is, even as it helps shape how IS managers think about the future of application and practice in their field, the organizing vision undertakes its own struggle to achieve ascendancy in the community. The present research explores this struggle, specifically probing how IS executives respond to visions that are in different career stages. Employing field interviews and a survey, the study identifies four dimensions of executive response focusing on a vision's interpretability, plausibility, importance, and discontinuity. Taking a comparative approach, the study offers several grounded conjectures concerning the career dynamics of organizing visions. For the IS executive, the findings help point the way to a more proactive, systematic, and critical stance toward innovations that can place the executive in a better position to make informed adoption decisions.
A Highly Parallel Area Efficient S-Box Architecture for AES Byte-Substitution

The performance of the S-Box represents an important factor in the overall performance of the AES cryptography systems. It affects the speed, area, and the power consumption of the AES. In attempts to improve the performance of the S-box byte substitution a number of techniques were presented in the literature. In this paper, we classify the S-box byte substitution optimization techniques as those based on hardware, software, and combined hardware/software. We then move on to propose a new highly parallel and area-efficient S-box architecture for AES byte substitution. We also conduct a performance analysis and comparison of the proposed architecture with those achieved by existing techniques. The comparison shows that the proposed architecture outperforms the existing techniques in terms of speed and area.
Modeling of Self-Healing Concrete: A Review

Self-healing concrete (SHC) has received a tremendous attention due to its advanced ability of automatic crack detection and crack repairing compared to the standard concrete. Two main approaches which considered as to-date self-healing mechanisms are autogenous and autonomous healing. In the past several years, the effort of the research has been focused on experimental works instead of numerical models to simulate the healing process. The purpose of this study is to provide a comprehensive comparison of different self-healing concrete (cement based materials) modeling approaches which are available. In this review, special attention is given to the autonomous healing model and a few of recent works related to the autogenous healing model are also investigated. Moreover, this review covers both analytical and numerical simulation methods of self-healing concrete model.
The numerical evaluation of very oscillatory infinite integrals by extrapolation

Recently the author has given two modifications of a nonlinear extrapolation method due to Levin and Sidi, which enable one to accurately and economically compute certain infinite integrals whose integrands have a simple oscillatory behavior at infinity. In this work these modifications are extended to cover the case of very oscillatory infinite integrals whose integrands have a complicated and increasingly rapid oscillatory behavior at infinity. The new method is applied to a number of complicated integrals, among them the solution to a problem in viscoelasticity. Some convergence results for this method are presented.
Pure vs. Mutual Sick Insurance Societies. Evidence from Swedish Historical Data

Using data from voluntary Swedish sick insurance societies 1902-1910, this paper analyzes the coexistence of pure and mutual insurance societies where pure societies are characterized by charging ex ante premiums only while mutuals in addition charge ex post assessments. Mutual insurance societies are found, on average, to be larger and to offer longer insurance coverage duration. Pure insurance societies have, on average, higher insurance coverage per day, greater mean levels of moral hazard controls, a higher mean number of policy categories and are on average, older.
Using Retweet Information as a Feature to Classify Messages Contents

We investigate the use of machine learning algorithms to classify content published in Online Social Networks using as input solely user interaction data, instead of the actual message content. During a period of six months, we monitored and gathered data from users interacting with news messages on Twitter, creating thousands of information diffusion processes. The data set presented regular patterns on how messages were spread over the network by users, depending on its content, so we could build classifiers to predict the topic of a message using as input only information of how it was diffused. Thus, we demonstrate the explanatory power of user behavior data on identifying content present in Social Networks, proposing techniques for topic classification that can be used to assist traditional content identification strategies (such as natural language or image processing) in challenging contexts, or be applied in scenarios with limited information access.
Algorithms for a Closed-Loop Artificial Pancreas: The Case for Model Predictive Control

The relative merits of model predictive control (MPC) and proportional-integral-derivative (PID) control are discussed, with the end goal of a closed-loop artificial pancreas (AP). It is stressed that neither MPC nor PID are single algorithms, but rather are approaches or strategies that may be implemented very differently by different engineers. The primary advantages to MPC are that (i) constraints on the insulin delivery rate (and/or insulin on board) can be explicitly included in the control calculation; (ii) it is a general framework that makes it relatively easy to include the effect of meals, exercise, and other events that are a function of the time of day; and (iii) it is flexible enough to include many different objectives, from set-point tracking (target) to zone (control to range). In the end, however, it is recognized that the control algorithm, while important, represents only a portion of the effort required to develop a closed-loop AP. Thus, any number of algorithms/approaches can be successful—the engineers involved in the design must have experience with the particular technique, including the important experience of implementing the algorithm in human studies and not simply through simulation studies.
Parsimonious finite-volume frequency-domain method for 2-D P–SV-wave modelling

SUMMARY A new numerical technique for solving 2-D elastodynamic equations based on a finite-volume frequency-domain approach is proposed. This method has been developed as a tool to perform 2-D elastic frequency-domain full-waveform inversion. In this context, the system of linear equations that results from the discretization of the elastodynamic equations is solved with a direct solver, allowing efficient multiple-source simulations at the partial expense of the memory requirement. The discretization of the finite-volume approach is through triangles. Only fluxes with the required quantities are shared between the cells, relaxing the meshing conditions, as compared to finite-element methods. The free surface is described along the edges of the triangles, which can have different slopes. By applying a parsimonious strategy, the stress components are eliminated from the discrete equations and only the velocities are left as unknowns in the triangles. Together with the local support of the P0 finite-volume stencil, the parsimonious approach allows the minimizing of core memory requirements for the simulation. Efficient perfectly matched layer absorbing conditions have been designed for damping the waves around the grid. The numerical dispersion of this FV formulation is similar to that of O(Δx2) staggered-grid finite-difference (FD) formulations when considering structured triangular meshes. The validation has been performed with analytical solutions of several canonical problems and with numerical solutions computed with a well-established FD time-domain method in heterogeneous media. In the presence of a free surface, the finite-volume method requires 10 triangles per wavelength for a flat topography, and fifteen triangles per wavelength for more complex shapes, well below the criteria required by the staircase approximation of O(Δx2) FD methods. Comparisons between the frequency-domain finite-volume and the O(Δx2) rotated FD methods also show that the former is faster and less memory demanding for a given accuracy level, an attractive feature for frequency-domain seismic inversion. We have thus developed an efficient method for 2-D P–SV-wave modelling on structured triangular meshes as a tool for frequency-domain full-waveform inversion. Further work is required to improve the accuracy of the method on unstructured meshes.
Directed adenovirus evolution using engineered mutator viral polymerases

Adenoviruses (Ads) are the most frequently used viruses for oncolytic and gene therapy purposes. Most Ad-based vectors have been generated through rational design. Although this led to significant vector improvements, it is often hampered by an insufficient understanding of Ad’s intricate functions and interactions. Here, to evade this issue, we adopted a novel, mutator Ad polymerase-based, ‘accelerated-evolution’ approach that can serve as general method to generate or optimize adenoviral vectors. First, we site specifically substituted Ad polymerase residues located in either the nucleotide binding pocket or the exonuclease domain. This yielded several polymerase mutants that, while fully supportive of viral replication, increased Ad’s intrinsic mutation rate. Mutator activities of these mutants were revealed by performing deep sequencing on pools of replicated viruses. The strongest identified mutators carried replacements of residues implicated in ssDNA binding at the exonuclease active site. Next, we exploited these mutators to generate the genetic diversity required for directed Ad evolution. Using this new forward genetics approach, we isolated viral mutants with improved cytolytic activity. These mutants revealed a common mutation in a splice acceptor site preceding the gene for the adenovirus death protein (ADP). Accordingly, the isolated viruses showed high and untimely expression of ADP, correlating with a severe deregulation of E3 transcript splicing.
Paracoccidioides-host Interaction: An Overview on Recent Advances in the Paracoccidioidomycosis

Paracoccidioides brasiliensis and P. lutzii are etiologic agents of paracoccidioidomycosis (PCM), an important endemic mycosis in Latin America. During its evolution, these fungi have developed characteristics and mechanisms that allow their growth in adverse conditions within their host through which they efficiently cause disease. This process is multi-factorial and involves host–pathogen interactions (adaptation, adhesion, and invasion), as well as fungal virulence and host immune response. In this review, we demonstrated the glycoproteins and polysaccharides network, which composes the cell wall of Paracoccidioides spp. These are important for the change of conidia or mycelial (26°C) to parasitic yeast (37°C). The morphological switch, a mechanism for the pathogen to adapt and thrive inside the host, is obligatory for the establishment of the infection and seems to be related to pathogenicity. For these fungi, one of the most important steps during the interaction with the host is the adhesion. Cell surface proteins called adhesins, responsible for the first contact with host cells, contribute to host colonization and invasion by mediating this process. These fungi also present the capacity to form biofilm and through which they may evade the host’s immune system. During infection, Paracoccidioides spp. can interact with different host cell types and has the ability to modulate the host’s adaptive and/or innate immune response. In addition, it participates and interferes in the coagulation system and phenomena like cytoskeletal rearrangement and apoptosis. In recent years, Paracoccidioides spp. have had their endemic areas expanding in correlation with the expansion of agriculture. In response, several studies were developed to understand the infection using in vitro and in vivo systems, including alternative non-mammal models. Moreover, new advances were made in treating these infections using both well-established and new antifungal agents. These included natural and/or derivate synthetic substances as well as vaccines, peptides, and anti-adhesins sera. Because of all the advances in the PCM study, this review has the objective to summarize all of the recent discoveries on Paracoccidioides-host interaction, with particular emphasis on fungi surface proteins (molecules that play a fundamental role in the adhesion and/or dissemination of the fungi to host-cells), as well as advances in the treatment of PCM with new and well-established antifungal agents and approaches.
Improving regulation of a single-link flexible manipulator with strain feedback

This paper considers improving the tip regulation performance of a joint-PD controlled single-link flexible manipulator by introducing nonlinear strain feedback. The controller is developed by applying Lyapunov's direct method. The stability of the closed-loop system is theoretically proven based on the partial differential equations (PDE) which govern the motion of the flexible robot, instead of using the traditional truncated models. The controller is very simple in its form, and only the measurements of joint angle, joint velocity, and strain of the bending beam are needed for implementation. The controller is very robust as well because it is independent of system parameters.
Research on application of BIM technology in construction project

Based on analysis of the reasons of low efficiency in construction industry, the paper suggests that the key point of improving efficiency is the implementation of lifecycle building information integrated management. The main contents of research in this paper include the concept of BIM, product analysis and implementation. After the analysis of the BLM, it is indicated that BIM is the key technology in the implementation of BLM; And analysis of concept, Characteristics and product of BIM from the construction project lifecycle perspective, finally discusses the obstacles in the applications of BIM in our country. And the path to solve, hoping to cause more people concerned about the BIM technology, and to provide references of BIM technology research and practicing in China.
The Communicative Experiences of High School Students with Autism Spectrum Disorder in a Digital Media Intervention Program

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Accurate Evaluation of Segment-level Machine Translation Metrics

Evaluation of segment-level machine translation metrics is currently hampered by: (1) low inter-annotator agreement levels in human assessments; (2) lack of an effective mechanism for evaluation of translations of equal quality; and (3) lack of methods of significance testing improvements over a baseline. In this paper, we provide solutions to each of these challenges and outline a new human evaluation methodology aimed specifically at assessment of segment-level metrics. We replicate the human evaluation component of WMT-13 and reveal that the current state-of-the-art performance of segment-level metrics is better than previously believed. Three segment-level metrics — METEOR, NLEPOR and SENTBLEUMOSES — are found to correlate with human assessment at a level not significantly outperformed by any other metric in both the individual language pair assessment for Spanish-toEnglish and the aggregated set of 9 language pairs.
Automated Essay Scoring Using Incremental Latent Semantic Analysis

Writing has been increasingly regarded by the testers of language tests as an important indicator to assess the language skill of testees. As such tests become more and more popular and the number of testees becomes larger, it is a huge task to score so many essays by raters. So far, many methods have been used to solve this problem and the traditional method is Latent Semantic Analysis (LSA). In this paper, we introduce a new incremental method of LSA to score essays effectively when the dataset is massive. By comparison of the traditional method and our new incremental method, concerning the running time and memory usage, experimental results make it obvious that the incremental method has a huge advantage over the traditional method. Furthermore, we use real corpora of test essays submitted to the MHK test (Chinese Proficiency Test for Minorities), to demonstrate that the incremental method is not only efficient but also effective in performing LSA. The experimental results also show that when using incremental LSA, the scoring accuracy can reach 88.8%.
Íêää Øøôô»»ûûûººð××úúúöºòð»ðó Blockin Blockinøø»òø Blockin×»úóðùññºøñð ¾½ Ôôôô× Incremental Evaluators for Remote Attribute Grammars

Remote attribute grammars use objects with separately defined fields to induce direct non-local dependencies in attribute grammars. Fields of an object may be read remotely from where it is created, and special " collection " fields may be written remotely as well. Building on earlier work which shows that remote attribute grammars can be scheduled statically, this paper shows how they may be implemented incrementally. The static schedule is used to ensure an object's fields are defined before they are read and that we never re-evaluate an attribute multiple times per edit-cycle. Dynamic dependencies are used to mark remote use sites as affected when a field is changed. The result is an efficient and practical incremental evaluation.
Molecular Phylogeny of the Bamboo Sharks (Chiloscyllium spp.)

Chiloscyllium, commonly called bamboo shark, can be found inhabiting the waters of the Indo-West Pacific around East Asian countries such as Malaysia, Myanmar, Thailand, Singapore, and Indonesia. The International Union for Conservation of Nature (IUCN) Red List has categorized them as nearly threatened sharks out of their declining population status due to overexploitation. A molecular study was carried out to portray the systematic relationships within Chiloscyllium species using 12S rRNA and cytochrome b gene sequences. Maximum parsimony and Bayesian were used to reconstruct their phylogeny trees. A total of 381 bp sequences' lengths were successfully aligned in the 12S rRNA region, with 41 bp sites being parsimony-informative. In the cytochrome b region, a total of 1120 bp sites were aligned, with 352 parsimony-informative characters. All analyses yield phylogeny trees on which C. indicum has close relationships with C. plagiosum. C. punctatum is sister taxon to both C. indicum and C. plagiosum while C. griseum and C. hasseltii formed their own clade as sister taxa. These Chiloscyllium classifications can be supported by some morphological characters (lateral dermal ridges on the body, coloring patterns, and appearance of hypobranchials and basibranchial plate) that can clearly be used to differentiate each species.
Benchmarks for Enterprise Linking: Thomson Reuters R&D at TAC 2013

This paper describes the TRRD systems entered in the TAC 2013 entity linking challenge. We explore a restricted version of the task that accesses only an entity authority file with (possibly noisy) alternative names and plain text from the target domain. This is designed to reflect the problem of linking to existing entity authorities within companies like Thomson Reuters. We used the 2013 shared task to benchmark this task setting.