Miracle-dz/UniFAR-FTUs huggingface dataset:
Identification of the gene encoding cyclin E1 (CCNE1) as a novel IGH translocation partner in t(14;19)(q32;q12) in diffuse large B-cell lymphoma

Cyclin D family members are known to be ectopically expressed in B-cell lymphomas due to their involvement in chromosomal translocations with the immunoglobulin loci (IGH). This study identified the gene encoding cyclin E1 (CCNE1) as a novel translocation partner of IGH in diffuse large B-cell lymphoma. These observations suggest that cyclin E1 may act as a novel oncogene in B-cell lymphomagenesis. In a subset of B-cell malignancies, the genes encoding members of the cyclin D familiy are juxtaposed to immunoglobulin loci through recurrent chromosomal translocations. Here, we identified the gene encoding cyclin E1 as novel translocation partner of the immunoglobulin heavy chain (IGH) locus involved in a t(14;19)(q32;q12) in a case of t(8;14)(q24;q32) IGH-MYC-positive leukemic diffuse large B-cell lymphoma. The translocation breakpoints were cloned and mapped to the switch region Sα1 of IGH in 14q32 and approximately 60kb centromeric to CCNE1 in 19q12. Immunohistochemical analysis revealed overexpression of the cyclin E1 protein in this case, which to a comparable extent was observed in 3/41 independent DLBCL. These data indicate that cyclin E1 may act as a novel oncogene in B-cell lymphomagenesis.
Fuzzy nonlinear predictive control of Stewart platform

In this paper a fuzzy robust nonlinear model predictive controller based on state estimation for Stewart platform is designed. The control law is based on prediction model, which is carried out via Uncertainties fuzzy estimator. The optimal control is computed directly from the minimization of receding horizon cost function. There is no need to an online optimization. A fuzzy estimator is designed to deal with system uncertainties such as unknown external disturbances, unmodeled quantities and parametric uncertainties. The global stability closed loop system is proved analytically via Lyapunov stability theory. The performance of the proposed method is compared with PID controller.
Shefce: A Cantonese-English bilingual speech corpus for pronunciation assessment

This paper introduces the development of ShefCE: a Cantonese-English bilingual speech corpus from L2 English speakers in Hong Kong. Bilingual parallel recording materials were chosen from TED online lectures. Script selection were carried out according to bilingual consistency (evaluated using a machine translation system) and the distribution balance of phonemes. 31 undergraduate to postgraduate students in Hong Kong aged 20–30 were recruited and recorded a 25-hour speech corpus (12 hours in Cantonese and 13 hours in English). Baseline phoneme/syllable recognition systems were trained on background data with and without the ShefCE training data. The final syllable error rate (SER) for Cantonese is 17.3% and final phoneme error rate (PER) for English is 34.5%. The automatic speech recognition performance on English showed a significant mismatch when applying L1 models on L2 data, suggesting the need for explicit accent adaptation. ShefCE and the corresponding baseline models will be made openly available for academic research.
Piecewise fractional Brownian motion

Starting from fractional Brownian motion (fBm) of unique parameter H, a piecewise fractional Brownian motion (pfBm) of parameters H/sub o/, H/sub i/, and /spl gamma/ is defined. This new process has two spectral regimes: It behaves like an fBm of parameter H/sub o/ for low frequencies |/spl omega/|</spl gamma/ and like an fBm of parameter H/sub i/ for high frequencies |/spl omega/|/spl ges//spl gamma/. When H/sub o/=H/sub i/, or for limit cases /spl gamma//spl rarr/0 and /spl gamma//spl rarr//spl infin/, pfBm becomes classical fBm. It is shown that pfBm is a continuous, Gaussian, and nonstationary process having continuous, Gaussian, and stationary increments, namely, piecewise fractional Gaussian noises. The asymptotic self-similarity of pfBm is shown according to the considered regime: At large scale, the process is self-similar with parameter H/sub o/ and with parameter H/sub i/ at low scale.
Underreporting of traffic injuries involving children in Japan

Background—Significant underreporting of road traffic injuries by the police has been documented, even in developed countries. The objective of this study was to clarify the magnitude of underreporting of police data in Japan. Methods—Police reports were compared with those of the fire department and the Marine and Fire Insurance Association of Japan. Results—The results reveal significant underreporting by police of child vehicle occupant injuries. The true incidence of these injuries in preschoolers was twice as high as that provided by official police reports. Conclusion—Police reports would underestimate the magnitude of vehicle occupant injuries in children and distort any evaluations of preventive initiatives. Improving the police report system, and establishing a more comprehensive trauma registry, that would include data from hospitals and insurance companies should be implemented.
T-VMI: Trusted Virtual Machine Introspection in Cloud Environments

Nowadays, the vulnerability of cloud environment exposed in security places Virtual Machine Introspection(VMI) at risk: once attackers subvert any layers of cloud environment, such as host, virtual machine manager(VMM) or qemu, VMI will be exposed undoubtedly to those attackers too. Nearly all existing VMI techniques implicitly assume that both VMM by which VMI accesses specific VM data and host which VMI is running on, are nonmalicious and immutable. Unfortunately, this assumption can be potentially violated with the growing shortage of security in cloud environment. Once VMM or host is exploited, attackers can tamper the code or hijack the data of VMI, then, falsify VM information and certifications to Cloud system's administrators who try to make sure the security of specific VM in certain compute node. This paper proposes a new trusted VMI monitor frame: T-VMI, which can avoid the malicious subversion of the routine of VMI. T-VMIguarantees the integrity of VMI code using isolation and the correctness of VMI data using high privilege level instruction and appropriate trap mechanism. This model is evaluated on a simulation environment by using ARM Foundation Model 8.0 and has been presented on a real development ARMv8 JUNO-r0 board. We finished the comprehensive experiments including effectiveness and performance, and the result and analysis show T-VMI has achieved the aim of expected effectiveness with acceptable performance cost.
Analysis of FGF-Dependent and FGF-Independent Pathways in Otic Placode Induction

The inner ear develops from a patch of thickened cranial ectoderm adjacent to the hindbrain called the otic placode. Studies in a number of vertebrate species suggest that the initial steps in induction of the otic placode are regulated by members of the Fibroblast Growth Factor (FGF) family, and that inhibition of FGF signaling can prevent otic placode formation. To better understand the genetic pathways activated by FGF signaling during otic placode induction, we performed microarray experiments to estimate the proportion of chicken otic placode genes that can be up-regulated by the FGF pathway in a simple culture model of otic placode induction. Surprisingly, we find that FGF is only sufficient to induce about 15% of chick otic placode-specific genes in our experimental system. However, pharmacological blockade of the FGF pathway in cultured chick embryos showed that although FGF signaling was not sufficient to induce the majority of otic placode-specific genes, it was still necessary for their expression in vivo. These inhibitor experiments further suggest that the early steps in otic placode induction regulated by FGF signaling occur through the MAP kinase pathway. Although our work suggests that FGF signaling is necessary for otic placode induction, it demonstrates that other unidentified signaling pathways are required to co-operate with FGF signaling to induce the full otic placode program.
Guided Self-Help for Patients with Chronic Fatigue Syndrome Prior to Starting Cognitive Behavioural Therapy: a Cohort Study

Background: Previous research suggests that minimal interventions such as self-help guidance can improve outcomes in patients with fatigue or chronic fatigue syndrome (CFS). Aims: The aim of the current study was to investigate whether self-help guidance could improve physical functioning, social adjustment and fatigue in a group of patients with CFS who were awaiting CBT at a clinic in secondary care. Method: Patients completed questionnaires at their initial assessment (baseline), immediately before beginning CBT (pre-treatment), and after their last session of CBT (end of treatment). The primary outcome was physical functioning, and the secondary outcomes were social adjustment and fatigue. Multi-level linear models were used to assess change over time after adjustment for gender and age. Results: Multi-level models revealed that from baseline to pre-treatment, patients showed statistically significant improvements in physical functioning, but there were no statistically significant improvements in fatigue or social adjustment. However, all the primary and secondary outcomes showed statistically significant changes after CBT. Conclusions: The findings of this study indicate that self-help guidance may be beneficial for patients with CFS who are awaiting CBT treatment or those who are unable to access specialist treatment in their local area.
Effects of Na neutralization level on the SH behaviour after ballistic tests of EMAA based ionomers

Ethylene-co-methacrylic acid (EMAA) based ionomers have thermo-mechanical properties strongly dependent on neutralization level of acid groups. Research revealed also how these materials are able to heal after ballistic impacts. In order to better understand the role of neutralization level on the Self-Healing (SH) behaviour, mechanical and ballistic tests on EMAA copolymers, neutralized with different amount of Na ions, were performed in different experimental conditions. The SH capability was studied by shooting bullets at low velocity (180 m/s) and mid velocity (400 m/s); different testing conditions such as sample thickness and bullet diameter were examined. In all impact tests, spherical projectiles were used. These experiments allowed to define a critical ratio between sample thickness and bullet diameter below which the SH behaviour does not appear. After ballistic damage, the healing efficiency was evaluated by applying a pressure difference through tested samples. Subsequently, morphology analysis of the impacted areas was made observing all tested samples by Scanning Electron Microscope (SEM). These analysis revealed different characteristic features in the damaged zones of tested polymers impacted at different projectile speed. Obtained results show how the Na ions content influences the SH capability; in particular the EMAA copolymer with the highest Na neutralization level does not show a complete hole closure after low velocity impact test. Conversely, increasing projectile speed, all the polymers exhibit nearly the same SH behaviour.
Using Metrics to Enable Large-Scale Deliberation

THE CHALLENGE Humanity now finds itself faced with a range of highly complex problems – such as climate change, the spread of disease, international security, scientific collaborations, product development, and so on that call upon us to bring together large numbers of experts and stakeholders to deliberate collectively on a global scale. Collocated meetings can however be impractically expensive, severely limit the concurrency and thus breadth of interaction, and are prone to serious dysfunctions such as polarization and hidden profiles (Sunstein 2006). Social media such as email, blogs, wikis, chat rooms, and web forums provide unprecedented opportunities for interacting on a massive scale, but have yet to realize their potential for helping people deliberate effectively, typically generating poorly-organized, unsystematic and highly redundant contributions of widely varying quality. Large-scale argumentation systems represent a promising approach for addressing these challenges, by virtue of providing a simple systematic structure that radically reduces redundancy and encourages clarity. They do, however, raise an important challenge. How can we ensure that the attention of the deliberation participants is drawn, especially in large complex argument maps, to where it can best serve the goals of the deliberation? How can users, for example, find the issues they can best contribute to, assess whether some intervention is needed, or identify the results that are mature and ready to “harvest”? Can we enable, for large-scale distributed discussions, the ready understanding that participants typically have about the progress and needs of small-scale, collocated discussions?
Dynamic weighted ancestors

In the weighted ancestor problem one preprocesses a weighted tree (the weights are on the nodes and increase with tree depth) to support predecessor queries, which are called weighted ancestors queries, on the paths from the query node to the root. Since, the weighted ancestor problem appears in numerous applications, the problem has been studied and solutions for static trees are well known. However, it has been an open question whether this can be solved optimally for the dynamic version of the problem, where node insertions are supported. Node insertions are leaf insertions or edge splittings. In this paper we present a solution for the dynamic weighted ancestors problem which supports queries and update operations in the same time bounds as those for dynamic predecessor structures.
A further cost for the sicker sex? Evidence for male‐biased parasite‐induced vulnerability to predation

Abstract Males are typically the sicker sex. Data from multiple taxa indicate that they are more likely to be infected with parasites, and are less “tolerant,” or less able to mitigate the fitness costs of a given infection, than females. One cost of infection for many animals is an increased probability of being captured by a predator. A clear, hitherto untested, prediction is therefore that this parasite‐induced vulnerability to predation is more pronounced among males than females. We tested this prediction in the sexually size dimorphic guppy, Poecilia reticulata, in which females are typically larger than males. We either sham or experimentally infected guppies with Gyrodactylus turnbulli, elicited their escape response using an established protocol and measured the distance they covered during 60 ms. To discriminate between the effects of body size and those of other inherent sex differences, we size‐matched fish across treatment groups. Infection with G. turnbulli reduced the distance covered during the escape response of small adults by 20.1%, whereas that of large fish was unaffected. This result implies that parasite‐induced vulnerability to predation is male‐biased in the wild: although there was no difference in escape response between our experimentally size‐matched groups of males and females, males are significantly smaller across natural guppy populations. These results are consistent with Bateman's principle for immunity: Natural selection for larger body sizes and longevity in females seems to have resulted in the evolution of increased infection tolerance. We discuss the potential implications of sex‐ and size‐biased parasite‐induced vulnerability to predation for the evolutionary ecology of this host–parasite interaction in natural communities.
Towards an ontology-based system for intelligent prediction of firms with fraudulent financial statements

Existing models for facilitating predictions of firms with fraudulent financial statements (FFS) are not semantics-based. The objective of this work was to design an intelligent web portal to serve as service provider for predicting which Greek manufacturing firms issue FFS. The portal serves as a meeting point among manufacturing firms, which are listed on the Athens Stock Exchange (ASE). It has been conceived to help users (e.g., chartered accountants) to detect FFS. The information contained in the portal is dynamically updated and it is related with financial statements. The portal helps users to find Greek manufacturing firms that provide FFS. For this purpose, the knowledge of the formal financial statements domain has been represented by means of ontology, which has been used to guide the design of the application and to supply the system with semantic capabilities. Additionally, the ontological component allows for defining an ontology-guided search engine. The reasoning engine of the proposed system executes logic rules related with well-established financial variables, which characterize a financial statement as fraudulent or not.
Acquisition of motor skills in isometric conditions through synesthetic illusions of movement

Interactive technologies can help people acquire movement skills, and one way is by using visual distortions to boost neural adaptation. An extreme version of such approach is to train a movement without moving by creating a synesthetic illusion of movement - displaying virtual motions when there is none. While this approach uses no proprioceptive error to drive adaptation, our results show encouraging evidence that motor skills can be acquired through such illusions of movement.
Assessment of cardiac autonomic functions by heart rate recovery indices in patients with myocardial bridge.

BACKGROUND Heart rate (HR) recovery (HRR) reflects autonomic activity and predicts cardiovascular events. The aim of this study was to assess HRR in patients with myocardial bridge (MB). METHODS Medical recordings of 93 patients with MB and appropriate age, compared to 78 sex-matched healthy subjects were analyzed. MB was diagnosed via coronary computed tomography angiography after a positive exercise stress test (EST). HRR indices were calculated by subtracting 1st (HRR1), 2nd (HRR2) and 3rd (HRR3) minute HR from the maximal HR during EST. RESULTS HRR1 (30.2 ± 13.3 bpm vs. 35.8 ± 10.4 bpm, p = 0.001) and HRR2 (52.3 ± 13.3 bpm vs. 57.1 ± 11.6 bpm, p = 0.013) were lower in patients with MB. In addition, HRR1 was lower in patients with left anterior descending (LAD) MB than non-LAD MB (28.5 ± 13.2 vs. 37.1 ± 11.4, p = 0.013). Presence of MB, deep MB, LAD MB and multi-vessel MB were predictors of HRR1 (p < 0.01 for all). In a multivariate analysis, LAD MB was the only significant independent predictor of HRR1 (b = -8.524, p = 0.009). CONCLUSIONS Patients with MB have impairment in HRR indices which is more pronounced among patients with LAD MB. Cardiac autonomic dysfunction in MB might be due to recurrent myocardial ischemia.
Public Attitudes Toward Incentives for Organ Donation: A National Study of Different Racial/Ethnic and Income Groups

Attitudes toward monetary and nonmonetary incentives for living (LD) and deceased donation (DD) among the U.S. general public and different racial/ethnic and income groups have not been systematically studied. We studied attitudes via a telephone questionnaire administered to persons aged 18–75 in the continental United States. Among 845 participants (85% of randomized households), less than one‐fifth participants were in favor of incentives for DD (range 7–17%). Most persons were in favor of reimbursement of medical costs (91%), paid leave (84%) and priority on the waiting list (59%) for LD. African Americans and Hispanics were more likely than Whites to be in favor of some incentives for DD. African Americans were more likely than Whites to be in favor of monetary incentives for LD. Whites with incomes less than $20 000 were more likely than Whites with greater incomes to be in favor of reimbursement for deceased donors' funeral expenses or medical expenses. The U.S. public is not generally supportive of incentives for DD, but is supportive of limited incentives for LD. Racial/ethnic minorities are more supportive than Whites of some incentives. Persons with low income may be more accepting of certain monetary incentives.
Semantic video analysis for psychological research on violence in computer games

In this paper, we present an automatic semantic video analysis system to support interdisciplinary research efforts in the field of psychology and media science. The psychological research question studied is whether and how playing violent content in computer games may induce aggression. To investigate this question, the extraction of meaningful content from computer games is required to gain insights into the interrelationship of violent game events and the underlying neurophysiologic basis (brain activity) of a player. Previously, human annotators had to index game content according to the current game state, which is a very time-consuming task. The automatic annotation of a large number of computer game recordings (i.e. videos) speeds up the experimentation process and allows researchers to analyze more experimental data on an objective basis. The proposed computer game video content analysis system for computer games extracts several audiovisual low-level as well as mid-level features and deduces semantic content via a machine learning approach. This system requires manual annotations for a single video only to facilitate the semi-supervised learning process. Finally, human experts are allowed to refine the annotation results via a graphical user interface. Experimental results demonstrate the feasibility of the proposed approach.
A Scheme for Approximating Probabilistic Inference

This paper describes a class of probabilistic approximation algorithms based on bucket elimination which offer adjustable levels of accuracy and efficiency. We analyze the approximation for several tasks: finding the most probable explanation, belief updating and finding the maximum a posteriori hypothesis. We identify regions of completeness and provide preliminary empirical evaluation on randomly generated networks.
Laser cleaning of solid surface: optical resonance and near-field effects

The optical resonance within the transparent particle with size a approximately (lambda) (radiation wavelength) strongly influences the intensity distribution in the contacted area (substrate surface). As a result, the efficiency of dry laser cleaning is a strong non-monotonous function of the particle size. Another important effect is related to the interaction between scattered and reflected light of the particle on the surface (near-field effect). Examination of these effects is done within the frame of exact solution of the light scattering problem. The distribution of absorbed intensity is the basic input characteristic for the laser cleaning model. It is used during solution of heat equation and equations of theory of the elasticity (thermal expansion and acoustic wave generation). This paper concentrates on the calculations of intensity distributions as a function of typical parameters in laser cleaning.
A Survey of Recovery Techniques in Wireless Mesh Networks

As communication services turns very important in disaster affected areas, the recovery of the remaining infrastructure becomes very much necessary. Wireless Mesh Network (WMN) serves as a cost effective technology that provides backbone infrastructure to yield city-wide network access. Due to the selfrecovery characteristics of Wireless Mesh Network (WMN), it has been used as an appropriate solution for network access in disaster areas. Several techniques have been proposed by many researchers for efficient recovery of WMN. In this survey, we particularly focus on such techniques and provide conclusion on the advantages of these techniques.