Miracle-dz/UniFAR-FTUs huggingface dataset:
Combining multiple classifiers for text categorization

A major problem facing online information services is how to index and supplement large document collections with respect to a rich set of categories. We focus upon the routing of case law summaries to various secondary law volumes in which they should be cited. Given the large number (> 13,000) of closely related categories, this is a challenging task that is unlikely to succumb to a single algorithmic solution. Our fully implemented and recently deployed system shows that a superior classification engine for this task can be constructed from a combination of classifiers. The multi-classifier approach helps us leverage all the relevant textual features and meta data, and appears to generalize to related classification tasks.
Peer-to-Peer-Forschung – Überblick und Herausforderungen (Peer-to-Peer Research – Overview and Challenges)

Zusammenfassung Peer-to-Peer ist ein fundamentales Designprinzip und stellt einen Paradigmenwechsel für die Kommunikation in Computernetzwerken dar. In diesem Beitrag wird zunächst definiert, welche Charakteristika Peer-to-Peer-Systeme ausmachen. Anhand von vier Qualitätsmerkmalen hat die Forschergruppe „QuaP2P” ihre Arbeitsbereiche untergliedert. Dieser Gliederung folgend wird anschließend der aktuelle Stand der Wissenschaft und Herausforderungen im Bereich Peer-to-Peer-Forschung zusammengefasst. Dies gibt dem Leser einen strukturieren Überblick, um sich mit den wesentlichen Arbeiten dieses hoch aktuellen Forschungsthemas auseinandersetzen zu können. Summary Peer-to-Peer is a fundamental design principle and marks a paradigm shift for communication in computer networks. In this paper first a definition for peer-to-peer systems is given based on their characteristics. Using four quality attributes the DFG Research Group “QuaP2P” subdivided its research fields. Subsequently, the state-of-the-art in peer-to-peer research and its challenges are summarized, following this classification. This will give a structured overview to the reader in order to provide him with the relevant related work when looking into this highly active research area.
Off-Topic Detection in Automated Speech Assessment Applications

Automated L2 speech assessment applications need some mechanism for validating the relevance of user responses before providing scores. In this paper, we discuss a method for off-topic detection in an automated speech assessment application: a high-stakes English test (PTE Academic). Different from traditional topic detection techniques that use characteristics of text alone, our method mainly focused on using the features derived from speech conﬁdence scores. We also enhanced our off-topic detection model by incorporating other features derived from acoustic likelihood, language model likelihood, and garbage modeling. The ﬁnal combination model signiﬁ-cantly outperformed classiﬁcation from any individual feature. When ﬁxing the false rejection rate at 5% in our test set, we achieved a false acceptance rate of 9 . 8% . a very promising result.
Chondrocyte-Specific MicroRNA-140 Regulates Endochondral Bone Development and Targets Dnpep To Modulate Bone Morphogenetic Protein Signaling

ABSTRACT MicroRNAs (miRNAs) play critical roles in a variety of biological processes in diverse organisms, including mammals. In the mouse skeletal system, a global reduction of miRNAs in chondrocytes causes a lethal skeletal dysplasia. However, little is known about the physiological roles of individual miRNAs in chondrocytes. The miRNA-encoding gene, Mir140, is evolutionarily conserved among vertebrates and is abundantly and almost exclusively expressed in chondrocytes. In this paper, we show that loss of Mir140 in mice causes growth defects of endochondral bones, resulting in dwarfism and craniofacial deformities. Endochondral bone development is mildly advanced due to accelerated hypertrophic differentiation of chondrocytes in Mir140-null mice. Comparison of profiles of RNA associated with Argonaute 2 (Ago2) between wild-type and Mir140-null chondrocytes identified Dnpep as a Mir140 target. As expected, Dnpep expression was increased in Mir140-null chondrocytes. Dnpep overexpression showed a mild antagonistic effect on bone morphogenetic protein (BMP) signaling at a position downstream of Smad activation. Mir140-null chondrocytes showed lower-than-normal basal BMP signaling, which was reversed by Dnpep knockdown. These results demonstrate that Mir140 is essential for normal endochondral bone development and suggest that the reduced BMP signaling caused by Dnpep upregulation plays a causal role in the skeletal defects of Mir140-null mice.
Massive Heterogeneous Sensor Data Management in the Internet of Things

In recent years, the Internet of Things (IoT) has become increasingly important and is changing the way how people live and work. IoT has a lot of benefits and meanwhile, it also brings about great challenges to the data management community. In this paper, we first analyze the challenges in IoT data management, and then propose a novel Sea-Cloud-based massive heterogeneous sensor Data Management ("SeaCloudDM") framework in order to meet these challenges. The experimental results show that SeaCloudDM provides satisfactory query processing performances for massive sensor sampling data.
HIV+ men and women show different performance patterns on procedural learning tasks

The literature suggests that nondeclarative, or nonconscious, learning might be impaired among HIV-seropositive (HIV+) individuals compared with HIV-seronegative (HIV–) matched control groups, but these studies have included relatively few women. We administered measures of motor skill and probabilistic learning, tasks with a nondeclarative or procedural learning component that are dependent on integrity of prefrontal-striatal systems, to well-matched groups of 148 men and 65 women with a history of substance dependence that included 45 men and 30 women seropositive for HIV. All participants were abstinent at testing. Compared to HIV– women, HIV+ women performed significantly more poorly on both tasks, but HIV+ men's performance did not differ significantly from that of HIV– men on either task. These different patterns of performance indicate that features of HIV-associated neurocognitive disorder (HAND) cannot always be generalized from men to women. Additional studies are needed to address directly the possibility of sex differences in HAND and the possibility that women might be more vulnerable to the effects of HIV and substance dependence on some neurocognitive functions.
Increased Transplant Arteriosclerosis in the Absence of CCR7 is Associated With Reduced Expression of Foxp3

Background. The chemokine receptor CCR7 plays a pivotal role in the homing of naïve T cells and regulatory T cells to secondary lymphoid organs and the migration of dendritic cells into afferent lymphatic vessels. Antigen presentation, T cell recruitment, and expansion of regulatory cells are crucial events in establishing and controlling chronic allograft dysfunction. In this study, we report an important role for chemokine receptor CCR7 in the development of transplant arteriosclerosis. Methods. Fully major histocompatibility complex-mismatched CBA (H2k) donor aortas were transplanted into BALB/c-CCR7−/− (H2d), BALB/c-CCR7+/− (H2d), or BALB/c-CCR7+/+ (H2d) recipients. Grafts were analyzed by histology, morphometry, and immunofluorescence on day 30 after transplantation. Intragraft cytokine mRNA production was analyzed by realtime polymerase chain reaction on day 14 after transplantation. Results. After implanting fully major histocompatibility complex-mismatched donor aortas into CCR7-deficient recipients, transplant arteriosclerosis was significantly elevated. CD4 depletion resulted in a reduction of intima proliferation in CCR7−/− recipients whereas CD8 depletion had no effect. Analysis of aortic grafts from CCR7−/− recipients revealed high numbers of infiltrating CD4+, F4/80+, and CD205+ cells. Furthermore, intragraft cytokine production showed higher levels of interleukin-4, interleukin-12, and eotaxin mRNA expression, whereas significantly lower Foxp3 mRNA expression was observed in CCR7−/− recipients. Conclusion. These data suggest that although alloantigen presentation in secondary lymphoid organs is hampered in CCR7-deficient recipients, this process may take place within the allograft itself, leading to increased formation of transplant arteriosclerosis. The decrease in Foxp3 expression despite increased in CD4+ T cell infiltration indicates a reduction in T regulatory cells possibly influencing the intensity of the graft rejection.
The clinical database and implementation of treatment guidelines by the Danish Breast Cancer Cooperative Group in 2007–2016

Abstract Background: Since 40 years, Danish Breast Cancer Cooperative Group (DBCG) has provided comprehensive guidelines for diagnosis and treatment of breast cancer. This population-based analysis aimed to describe the plurality of modifications introduced over the past 10 years in the national Danish guidelines for the management of early breast cancer. By use of the clinical DBCG database we analyze the effectiveness of the implementation of guideline revisions in Denmark. Methods: From the DBCG guidelines we extracted modifications introduced in 2007–2016 and selected examples regarding surgery, radiotherapy (RT) and systemic treatment. We assessed introduction of modifications from release on the DBCG webpage to change in clinical practice using the DBCG clinical database. Results: Over a 10-year period data from 48,772 patients newly diagnosed with malignant breast tumors were entered into DBCG’s clinical database and 42,197 of these patients were diagnosed with an invasive carcinoma following breast conserving surgery (BCS) or mastectomy. More than twenty modifications were introduced in the guidelines. Implementations, based on prospectively collected data, varied widely; exemplified with around one quarter of the patients not treated according to a specific guideline within one year from the introduction, to an almost immediate full implantation. Conclusions: Modifications of the DBCG guidelines were generally well implemented, but the time to full implementation varied from less than one year up to around five years. Our data is registry based and does not allow a closer analysis of the causes for delay in implementation of guideline modifications.
Observability-based local path planning and collision avoidance for micro air vehicles using bearing-only measurements

In this paper we detail an observability based path planning algorithm for Small and Miniature Air Vehicles (MAVs) navigating among multiple static obstacles. Bearing only measurements are utilized to estimate the time-to-collision (TTC) and bearing to obstacles using the extended Kalman filter (EKF). For the error covariance matrix computed by the EKF to be bounded, the system should be observable. We perform a nonlinear observability analysis to obtain the necessary conditions for complete observability. We use these conditions to design a path planning algorithm which simultaneously minimizes the uncertainties in state estimation while avoiding collisions with obstacles. Simulation results show that the planning algorithm successfully solves the single and multiple obstacle avoidance problems for MAVs while improving the estimation accuracy.
Modular multilevel E-STATCOM considering distributed energy storage at the dc link

In this paper, a new configuration of E–STATCOM (STATCOM + energy storage) based on Modular Multilevel Converter (MMC) is proposed for PV dominated grids. An E– STATCOM is used to provide active power along with reactive power support and harmonic filtering. The MMC based configuration is capable to handle higher power compared to conventional two/three level inverter based topologydue to modularity, low losses, better harmonic profile, etc. The varying power produced by PV (under MPPT operation) can be compensated by E-STATCOM and hence constant power can be injected into the grid. This will help voltage and frequency stability of the grid and also allow maximum power capture from PV system. The integration of BESS at the DC link of MMC to form E-STATCOM and associated control are discussed in this paper. The effectiveness of such system is verified using PSCAD/EMTDC simulation.
A Comparison of Bone Mineral Density in Adolescent Female Swimmers, Soccer Players, and Weight Lifters

Purpose: The study was designed to examine the effect of sports of varying skeletal loading on bone density in adolescent female athletes. Methods: Bone mineral densities of female swimmers, soccer players, and weight lifters were examined. Between-sport comparisons were made using a one-way analysis of covariance with age and body mass index as covariates and group bone mass density (BMD) was compared to the World Health Organization's (WHO) normative values for adult females. Results: BMD was significantly greater in the soccer group compared to the weight lifting (p = 0.025) and swimming groups (p = 0.001) with no difference between weight-lifting and swimming groups (p = 0.209). Compared to normative data from the WHO, soccer was the only sport whose participants' BMDs were significantly greater than adult norms (p = 0.003), while those of the swimmers were significantly less (p < 0.001) than adult females, and the weight lifters were not different (p = 0.103). Conclusions: Participation in sports such as soccer or weight lifting with significant skeletal loading may enhance BMD in adolescent females.
Multi-objective multiple allocation hub location problem with multiple capacity levels considering sustainable development paradigm

Nowadays, the increase of flow traffic between different nodes in manufacturing and service sectors makes many researchers to work on designing hub networks for transporting the flows in order to optimise transportation and decrease transportation costs. Hence, hub location problems are considered as strategic problems and focusing on all aspects of sustainable development is necessary in such decisions. Therefore, considering environmental aspect of sustainable development with economic objective simultaneously, is one of the most important concerns of decision makers and researchers. Due to such changes observed in attitude of researchers and decision makers, a flow transportation network with economic justification and less environmental impacts could be potentially designed. This research aims to develop a multi-objective mathematical model with multiple allocation and multiple capacity levels to minimise both costs and environmental impacts simultaneously. Capacity levels are used to increase the fle.
ICT to Aid Dental Care of Children with Autism

Dental health in children with autism presents many challenges, due to their different perception of sensory experience and difficulty accepting unknown social contexts. The dental care setting presents strong sound-visual stimulations that can upset a patient with autism, often forcing dentists to administer chemical sedation in order to deliver dental care. In recent years, several technology-enhanced systems and apps have been proposed to help people with autism adapt to new contexts and cope with distressing social situations. Our study explores the potential of personalized digital tools for familiarizing these children with dental procedures and environments, and teaching them how to perform proper oral hygiene at home. A 3-month study to test ICT tools created to control children's anxiety and avoid sedation was carried out involving researchers, developers, dentists, psychologists, parents and ten children with autism observed under natural conditions during their first dental care cycle. The results appear to confirm the potential of personalized technology to reduce anxiety in professional settings, increasing children's wellbeing and safety and encouraging oral hygiene as part of their daily routine.
Towards a General Theory of False-Name-Proof Mechanisms with Costs I

In open, anonymous settings such as the Internet, agents can participate in a mechanism multiple times under different identities. A mechanism is false-name-proof if no agent ever benefits from participating more than once. Unfortunately, the design of falsename-proof mechanisms has been hindered by a variety of negative results. In this paper, we show how some of these negative results can be circumvented by making the realistic assumption that obtaining additional identities comes at a (potentially small) cost. In doing so, we aim to establish the fundamentals of a general theory of falsename-proof mechanisms where identifiers are costly. We study a variety of mechanism design settings under several cost models, and we prove revelation principles and limit results.
Role of P57KIP2 Immunohistochemical Expression in Histological Diagnosis of Hydatidiform Moles.

PURPOSE To determine the significance of P57KIP2 immunohistochemistry expression in the histopathological diagnosis of hydatidiform mole. MATERIALS AND METHODS Hydatidiform mole patients at King Chulalongkorn Memorial Hospital between January 1999 and December 2011 were recruited. Two gynecologic pathologists reviewed histopathologic slides to confirm diagnosis. Formalin-fixed, paraffin-embedded tissue sections were stained using a bstandard immunostaining system with monoclonal antibodies against P57KIP2 protein. Correlations among pathological features, immunohistochemical expression and clinical data were analyzed. RESULTS One hundred and twenty-seven hydatidiform mole patients were enrolled. After consensus review, 97 cases were diagnosed as complet (CHM) and 30 cases as partial (PHM). Discordance between the first and final H and E diagnoses was found in 19 cases (14.9%, k= 0.578). Significant pathological features to classify the type of hydatidiform mole are central cisterns, trophoblastic proliferation, trophoblastic atypia, two populations of villi, fetal vessels and scalloped borders. After performing immunohistochemistry for P57KIP2, 107 cases were P57KIP2 negative and 20 cases positive. Discordant diagnoses between final H and E diagnosis and P57KIP2 immunohistochemistry was identified in 12 cases (9.4%). Sensitivity of final H and E diagnosis for CHM was 89.7%; specificity was 95.0%. PHM sensitivity and specificity of final H and E diagnosis was 95.0% and 89.7%, respectively. CONCLUSIONS Histopathological diagnosis alone has certain limitations in accurately defining types of hydatidiform mole; P57KIP2 immunohistochemistry is practical and can be a useful adjunct to histopathology to distinguish CHM from non-CHM.
Sonderforschungsbereich 438 Modelling and Simulation of Rheological Fluid Devices Modelling and Simulation of Rheological Fluid Devices Contents 1 Introduction 1 2 Er and Mr Mechanisms and Fluid Properties 2 3 Phenomenological Models for Rheological Fluid Devices 4

Electro-and magnetorheological uids are smart, synthetic uids changing their viscosity from liquid to semi-solid state within milliseconds if a suu-ciently strong electric or magnetic eld is applied. When used in suitable devices, they ooer the innovative potential of very fast, adaptively control-lable interfaces between mechanical devices and electronic control units. This paper gives an overview on the basic properties of rheological uids and discusses various phenomenological models for rheological uid devices and their applications. Numerical simulation results are presented for the passive suspension of a quarter vehicle model.
Performance Comparison for Mining Large Data from the Internet and Learning using ID3 Algorithm in a Docker versus Virtual Machine Environment

Every day, 2.5 quintillion bytes of data are generated. A sizeable portion of the data is available through the internet. The efficacy of the decisions being made revolves around the extent to which analysis is performed on the procured data. Containers provide Operating System Virtualization and Linux Containers present secure execution environments by independently executing processes. [1]This paper aims at proving that the performance of Docker Container in mining large data from the internet and learning using ID3 algorithm to generate a decision tree to predict useful results is much better than the performance in a Virtual Machine Environment.
Allocating Resources in Storage Cooperatives with Pseudo-Currencies

Storing multiple copies of data on widely distributed nodes is a strategy to increase availability and survivability of data. To reduce the cost of distributing redundant data, researchers have been investigating the use of storage cooperatives in which members share bandwidth and storage resources. We present the foundations of a simple, extensible economy in which network entities share storage and bandwidth resources by buying and selling data storage contracts with currencies created by members of the cooperative. Methods are developed to protect users from untrustworthy members, so that trading relationships can develop between anonymous users. Our work emphasizes the development of a simple web service interface that encourages multiple implementations within multiple application contexts.
Modern Software Defined Radar (SDR) Technology and Its Trends

Software defined radar (SDR) is a multi-purpose radar system where most of the hardware processing is performed by software. This paper introduces a concept and technology trends of software defined radar, and addresses the advantages and limitations of the current SDR radar systems. For the advanced SDR concept, the KAU SDR Model (KSM) is presented for the multimode and multiband radar system operating in S-, X-, and K-bands. This SDR consists of a replaceable multiband antenna and RF hardware, common digital processor module with multimode, and open software platform based on MATLAB and Lab VIEW. The new concept of the SDR radar can be useful in various applications of the education, traffic monitoring and safety, security, and surveillance depending on the various radar environments.
The Role of Galactic Winds on Molecular Gas Emission from Galaxy Mergers

Galactic winds from starbursts and active galactic nuclei (AGNs) are thought to play an important role in driving galaxies along the starburst-AGN sequence. Here, we assess the impact of these winds on the CO emission from galaxy mergers and, in particular, search for signatures of starburst and AGN-feedback-driven winds in the simulated CO morphologies and emission-line profiles. We do so by combining a three-dimensional non-LTE molecular line radiative transfer code with smoothed particle hydrodynamic (SPH) simulations of galaxy mergers that include prescriptions for star formation, black hole growth, a multiphase interstellar medium (ISM), and the winds associated with star formation and black hole growth. Our main results are (1) Galactic winds can drive outflows of masses ~108-109 M☉ which may be imaged via CO emission-line mapping. (2) AGN-feedback-driven winds are able to drive detectable CO outflows for longer periods of time than starburst-driven winds owing to the greater amount of energy imparted to the ISM by AGN feedback compared to star formation. (3) Galactic winds can control the spatial extent of the CO emission in postmerger galaxies, and may serve as a physical motivation for the subkiloparsec scale CO emission radii observed in local advanced mergers. (4) Secondary emission peaks at velocities greater than the circular velocity are seen in the CO emission lines in all models, regardless of the associated wind model. In models with winds, however, these high-velocity peaks are seen to preferentially correspond to outflowing gas entrained in winds, which is not the case in the model without winds. The high-velocity peaks seen in models without winds are typically confined to velocity offsets (from the systemic) ≲1.7 times the circular velocity, whereas the models with AGN-feedback-driven winds can drive high-velocity peaks to ~2.5 times the circular velocity.