Miracle-dz/UniFAR-FTUs huggingface dataset:
A Topic Detection Approach Through Hierarchical Clustering on Concept Graph

Topic detection and tracking (TDT) algorithms have long been developed for the discovery of topics. However, most existing TDT algorithms suffer from paying less attention to: (1) temporal distance between a pair of topics; (2) the mutual effect between highly correlated topic terms. In this paper, we proposed a novel topic detection approach by applying hierarchical clustering on the constructed concept graph (HCCG), which is able to solve aforementioned shortcomings simultaneously. In this approach, the concept is first defined as well as the concept behavior curve. Then, the tempo ral graph is constructed with concept as vertexes and connected by the edges sharing the same topic terms. By performing hierarchical clustering on this concept graph, the highly correlated concept behavior curves will be grouped together as topics. The proposed approach is evaluated on a number of datasets and the promising experimental results show that our approach is superior to K-means, agglomerative hierarchical clustering algorithm(AGH), and LDA with respects to precision, recall and F-measure. Moreover, the proposed concept behavior curves can be used to track the topic change trend by monitoring on the peak frequency of the concept behavior curves.
Kinematic modeling and control of a multi-joint soft inflatable robot arm with cable-driven mechanism

In this paper, the kinematic modeling and control for a multi-joint inflatable robot arm with cable-driven mechanism are proposed. The soft inflatable robot arm is capable of imitating human arms to realize remote interaction. The weight of the arm is only about 50 grams, and collision safe. To solve the challenge problems of kinematics of the soft inflatable arm, new approaches are proposed, including redundant rigid arm and soft inflatable joint models. The approaches have a good advantage of applying to muti-joint arms. As our knowledge it is the first time to solve the kinematics of muti-joint soft inflatable arm in Three-Dimensional coordinate space. Numerous experiments have been conducted, including movement space and positioning accuracy. The workspace and velocity are close to an adult's arm movement space and normal motion speed.
Effects of vibration therapy on bone mineral density in postmenopausal women with osteoporosis.

BACKGROUND Jaw osteonecrosis possibly associated with the administration of bisphosphonates is expected to be treated with a non-pharmacologic approach. This study aimed to determine whether noninvasive, mechanically mediated vibration would inhibit the decline in bone mineral density (BMD) that follows menopause, enhance the BMD of the lumbar and femoral neck, and reduce chronic back pain in postmenopausal women with osteoporosis. METHODS A total of 116 postmenopausal women with osteoporosis participated in this study, and they were divided into groups A (66 patients) and B (50). Group A received vibration treatment (Subjects vertically stand on the vibration platform, with a vibration frequency of 30 Hz, amplitude of 5 mm; they received the treatment five times per week, ten minutes each time and totally for six months), whereas women of group B served as controls without any treatment. L2 - 4 BMD, bilateral femoral neck BMD, and body mass index (BMI) were recorded before the treatment or at the third and sixth months of the treatment respectively. After the ending of the treatment, the change of BMD in each group was compared and analyzed. Chronic back pain was evaluated by visual analogue scale (VAS) at baseline and the third and sixth months of the treatment. RESULTS Of the 116 women, 94 including 51 women from group A ((61.23 +/- 8.20) years) and 43 women from group B ((63.73 +/- 5.45) years), completed the study. There were no significant differences in baseline characteristics including age, BMI, menopausal years, lumbar BMD, femoral neck BMD, and VAS between the two groups. The lumbar BMD of the 51 women in group A increased by 1.3% (P = 0.034) after vibration treatment for 3 months and by 4.3% at the sixth month (P = 0.000). The lumbar BMD in group B was decreased at the third month, but there was not statistical significance (P > 0.05). At the sixth month, it was decreased by 1.9% (P < 0.05). The femoral neck BMD of the 51 women in group A was slightly increased after vibration treatment for 3 months, but without statistical significance (P > 0.05). At the sixth month, the BMD was increased by 3.2% (P < 0.05). In group B, the BMD was not decreased significantly (P = 0.185) at the third month, but decreased significantly at the sixth month (1.7%) (P < 0.05) compared with the baseline. Chronic back pain (VAS) reduced more significantly in group A at the third and the sixth months (P < 0.05) after vibration therapy in comparison with the baseline. The BMI was not significantly changed in the two groups during the period of follow-up. CONCLUSIONS Vibration therapy appears to be useful in reducing chronic back pain and increasing the femoral neck and lumbar BMD in postmenopausal women with osteoporosis.
An evaluation of load distribution method on multi-source P2P sensor data stream delivery system

Due to the prevalence of sensors such as security cameras or environmental monitoring, sensor data stream delivery which means delivering the observed data continuously attracts great attention. Our researching team proposed methods to distribute communication loads in the case of delivering the sensor data stream that have different data delivery cycles. In the proposed methods, source nodes and destination nodes consist P2P overlay network, and communication loads are distributed by re-delivering the sensor data that have the same delivery time. In addition, we evaluated the proposed methods by simulation in an environment where specific source node delivers single sensor data stream. In this paper, we evaluated the existing methods by simulation in an environment which has multiple sensor data streams.
Hyper-selection in dynamic environments

In recent years, several approaches have been developed for genetic algorithms to enhance their performance in dynamic environments. Among these approaches, one kind of methods is to adapt genetic operators in order for genetic algorithms to adapt to a new environment. This paper investigates the effect of the selection pressure on the performance of genetic algorithms in dynamic environments. A hyper-selection scheme is proposed for genetic algorithms, where the selection pressure is temporarily raised whenever the environment changes. The hyper-selection scheme can be combined with other approaches for genetic algorithms in dynamic environments. Experiments are carried out to investigate the effect of different selection pressures on the performance of genetic algorithms in dynamic environments and to investigate the effect of the hyper-selection scheme on the performance of genetic algorithms in combination with several other schemes in dynamic environments. The experimental results indicate that the effect of the hyper-selection scheme depends on the problem under consideration and other schemes combined in genetic algorithms.
COMPASS WG 6112 Interim Report: October 1, 1992 - September 30, 1993

1 General Summary 1.1 Activities in the past 12 months Workshops were held as planned: Fall 92: joint ADT/COMPASS Workshop near Barcelona Spring 93: COMPASS Day adjointed to TAPSOFT conference at Orsay Fall 93: COMPASS Workshop near Dresden In addition, there was a joint COMPASS/COMPUGRAPH Workshop in June 1993 at l'Aquila. The agendas of these workshps are given below in Subsection 1.4. COMPASS members are very active (apart from projects) in other (new) ESPRIT WG's, some of which split oo from COMPASS I: e.g. CCL, COMPUGRAPH. In order not to have too many \competitive" meetings, it is therefore suggested to move meetings from Fall 1994 onwards by half a year each (see Subsection 1.2 below). Individual contributions to COMPASS are listed by site below; sometimes their activities overlap with other projects and WG's.
Usages des traces numériques en géographie : potentiels heuristiques et enjeux de recherche

Le rapport entre trace et espace est aborde ici sous l’angle des traces numeriques integrant une dimension spatiale qui, avec le developpement des usages d’Internet, tendent a se demultiplier. Apres avoir defini et caracterise les differents types de traces geonumeriques pour montrer toute la diversite de leur registre de fabrique, nous proposons d’analyser leur potentiel inedit pour les sciences qui s’interessent a la dimension spatiale du social, tout en insistant sur les nombreuses questions - methodologique, epistemologique et ethique - soulevees par leur emploi.
Clinical Psychological Classification and Measurement of Anxieties Related to Driving

The purpose of this study was to clarify ‘peace of mind’ in relation to driving, from the perspective of clinical psychology. We inquired normal drivers and less frequent drivers about the types of anxieties they experienced when driving, because anxiety is known to be the opposite of peace of mind. We categorized the anxieties expressed by the drivers. Then, we interpreted these categories by using clinical psychological theories. Based on the results, we have discussed possible measures for reducing anxieties related to driving.
RuLearn: an Open-source Toolkit for the Automatic Inference of Shallow-transfer Rules for Machine Translation

Abstract This paper presents ruLearn, an open-source toolkit for the automatic inference of rules for shallow-transfer machine translation from scarce parallel corpora and morphological dictionaries. ruLearn will make rule-based machine translation a very appealing alternative for under-resourced language pairs because it avoids the need for human experts to handcraft transfer rules and requires, in contrast to statistical machine translation, a small amount of parallel corpora (a few hundred parallel sentences proved to be sufficient). The inference algorithm implemented by ruLearn has been recently published by the same authors in Computer Speech & Language (volume 32). It is able to produce rules whose translation quality is similar to that obtained by using hand-crafted rules. ruLearn generates rules that are ready for their use in the Apertium platform, although they can be easily adapted to other platforms. When the rules produced by ruLearn are used together with a hybridisation strategy for integrating linguistic resources from shallow-transfer rule-based machine translation into phrase-based statistical machine translation (published by the same authors in Journal of Artificial Intelligence Research, volume 55), they help to mitigate data sparseness. This paper also shows how to use ruLearn and describes its implementation.
Neutrophil secondary necrosis is induced by LL‐37 derived from cathelicidin

Neutrophils represent the most common granulocyte subtype present in blood. The short half‐life of circulating neutrophils is regulated by spontaneous apoptosis, and tissue infiltrating neutrophils die by apoptosis and secondary necrosis. The mechanism of neutrophil apoptosis has been the subject of many studies; however, the mechanism of neutrophil secondary necrosis is less clear. Human cathelicidin cationic peptide 18, proteolytically processed to its active form, LL‐37, is secreted by neutrophils and epithelial cells and shown to have effects in addition to bacterial lysis. We demonstrate here that LL‐37 affects neutrophil lifespan by the pathway of secondary necrosis, rapidly converting annexin V‐positive (AV+), propidium iodide‐negative (PI−; apoptotic) cells into PI+ (necrotic) cells with the release of IL‐8, IL‐1R antagonist, ATP, and intact granules. The effects of LL‐37 on apoptotic neutrophils are neither energy‐dependent nor affected by pretreatment with G‐CSF, GM‐CSF, TNF‐α, and LPS and are partially inhibited by human serum. Moreover, LL‐37 decreases CXCR2 expression of AV−PI− (live) neutrophils, suggesting an effect on the neutrophil response to its chemotactic factors, including IL‐8. Thus, the lifespan and inflammatory functions of neutrophils are directly affected by LL‐37.
Analysis of the acoustic damping of an annular tail-pipe

A damping device, consisting of an annular tail-pipe, has been developed. It is applicable in situations wherein acoustic damping is required in combination with low flow resistance. Examples are ventilation systems, turbo-engines, intake and exhaust systems for internal combustion engines. The device consists of a central tube surrounded by a narrow slit. The central tube has an acoustic mass which impedance increases with frequency while the slit resistance remains constant. When the frequency has been increased sufficiently, a considerable part of the acoustic flow passes through the slit where it will be damped. In this way, acoustic energy can be dissipated while the flow experiances a low flow resistance. The acoustic properties of the device will be investigated using an electrical equivalent circuit. The impedance will be measured using an impedance measurement duct. The slit resistance will be identified and the damping mechanism will be investigated qualitatively. As result, the slit resistance consists of a linear part, which depends on the air viscosity, and a non-linear part, wherein the loss of kinetic energy of the moving fluidum through the slit causes acoustic damping.
Sexual Development and the Evolution of Sex Determination

The evolution of sex had profound consequences for life on earth as it brought about the origin of males and females. Yet understanding the amazing variety of mechanisms employed by organisms to produce males and females has evaded scientific explanation. Developmental biology provides essential insight to understand how the sexes are formed, and how the regulatory network underlying sexual development changes over evolutionary time. This is a critical step in revealing why the diversity of mechanisms arose in the first place. Here I present significant reciprocal contributions made by evolutionary genetics and developmental biology that bear on this question. In particular, I explore how changes in the timing of events during development can be viewed as heterochronic changes that alleviate the strong selection on the master trigger of male and female sexual development, enabling the evolutionary transitions between genotypic and environmental sex determination.
Intelligent Routing Protocol for Decentralized Cyber Physical System Using Smart Grid Applications

Sensors have been playing a crucial role in cyber physical decision making system. The performance quality of a cyber-physical system depends on the number of sensor feedback data applied to it and how it works on them. A sensor network is a network of low-powered, energy-constrained nodes equipped with sensor(s) and wireless communication devices that are intended to sense some physical phenomena from the area of deployment. Recent technological advances in the field of micro-electro mechanical systems (MEMS) have made the development of multi-functional sensor nodes technically and economically feasible. The sensor nodes in a sensor network are usually resource constrained, which means they have limited energy, limited processing and memory. Sharing all the available sensor data to all the cyber physical system is impractical due to bandwidth constraint. An intelligent router system is prop osed in this system to effectively route the sensor data to the relevant high impact voltage grids, by using e ffective maximum link time routing path to the bandwidth constraints.
Skyline Based Search Result Diversification Method

There are high redundancy and low diversity problems existing in current search engines. To solve this problem, a skyline based search result diversification method was proposed. The search results were sorted in accordance with skyline level, domination degree and coverage. In order to reduce the time cost, a bitmap based skyline level and domination degree computing algorithm was designed. Experimental results show that the proposed method can achieve better performance in terms of search results diversity and skyline level computing time cost.
ZnO:Al Thin Film Gas Sensor for Detection of Ethanol Vapor

The ZnO:Al thin films were prepared by RF magnetron sputtering on Si substrate using Pt as interdigitated electrodes. The structure was characterized by XRD and SEM analyses, and the ethanol vapor gas sensing as well as electrical properties have been investigated and discussed. The gas sensing results show that the sensitivity for detecting 400 ppm ethanol vapor was ∼20 at an operating temperature of 250°C. The high sensitivity, fast recovery, and reliability suggest that ZnO:Al thin film prepared by RF magnetron sputtering can be used for ethanol vapor gas sensing.
A cautionary note on gamma-ray burst nearest neighbour statistics

In this Letter we explore the suggestion of Quashnock & Lamb that nearest neighbour correlations among gamma-ray burst positions indicate the possibility of burst repetitions within various burst subclasses. We compare the sensitivity of these results to both the definitions of the assumed burst subclasses and the burst positional errors. Of the two, the positional errors are more significant and indicate that the results of Quashnock & Lamb may be due to systematic errors, rather than to any intrinsic correlation among the burst positions. Monte Carlo simulations also show that, with the current systematic errors, the nearest neighbour statistic is not very sensitive to moderate repetition rates
Eecient Singular Value Decomposition via Improved Document Sampling Eecient Singular Value Decomposition via Improved Document Sampling

Singular value decomposition (SVD) is a general-purpose mathematical analysis tool that has been used in a variety of information-retrieval applications. As the size and complexity of retrieval collections increase, it is crucial for our analysis tools to scale accordingly. To this end, we have studied the application of a new theoretically justiied SVD approximation algorithm to the problem of text retrieval. We show that, in the case of latent semantic indexing, we can achieve near optimal approximations of the exact SVD using considerably less computation by using an appropriate distribution to sample the documents we include in our SVD analysis.
Toward Zero-cost Branches Using Instruction Registers

A new architectural technique called branch for- warding uses a dedicated, architecturally-visible register file to store branch instructions to be issued in parallel with an instruction front the instruction cache, allowing branch cost to be reduced significantly below that of existing branch cost- reduction techniques. Experimental data front an integer benchmark set show that the new technique can reduce aver- age branch cost to 0.25 cycles per branch, and increase average performance by IS%, while causing only a small increase in hardware complexity.
Automatic speech recognition: A primer for speech-language pathology researchers

Abstract Automatic speech recognition (ASR) is increasingly becoming an integral component of our daily lives. This trend is in large part due to recent advances in machine learning, and specifically in deep learning, that have led to accurate ASR across numerous tasks. This has led to renewed interest in providing technological support to populations whose speech patterns are atypical, including identifying the presence of a specific pathology and its severity, comparing speech characteristics before and after a surgery and enhancing the quality of life of individuals with speech pathologies. The purpose of this primer is to bring readers with relatively little technical background up to speed on fundamentals and recent advances in ASR. It presents a detailed account of the anatomy of modern ASR, with examples of how it has been used in speech-language pathology research.
Sampling for airborne influenza virus using RNA preservation buffer : a new approach

Characterizing airborne influenza virus exposure is important for infection prevention and exposure control in health care and public settings. Detecting airborne influenza virus is important in assessing infection risk. The virus must also be protected from deterioration during aerosol sampling and long term storage. RNA preservation buffers (RNAPBs) may stabilize influenza virus after sampling and during storage. Bioaerosol samplers are used to collect airborne influenza virus, and many different types of samplers are available. The objectives of this experiment were to: 1) compare influenza virus concentrations across bioaerosol samplers; 2) compare the efficacy of RNAPB over Hanks Balanced Salt Solution (HBSS) as a sample collection media; and 3) determine whether RNAPB stabilizes viral particles stored over time. In this experiment we aerosolized active influenza virus (H1N1) in a bioaerosol chamber and compared sampling efficiencies using two different samplers: the SKC Biosampler and NIOSH Biosampler, and two different medias: Hanks Balanced Salt Solution (HBSS) and an RNAPB. Ten 15-minute experimental trials were completed. We also compared HBSS and RNAPB in terms of the maintenance of virus RNA integrity during storage at room temperatures. Samples were stored at room temperature for 1, 4, 7, and 14 days. Virus concentrations were measured and compared at each time point. Significant differences were found between sampler and media type – the SKC Biosampler collected a higher concentration of virus than the NIOSH Biosampler, and HBSS collected a higher concentration of virus than RNAPB. In storage at room temperature conditions, RNAPB maintained virus in concentrations significantly greater
DNA Synthesizing Cells in Rabbit Heart Tissue After Cholesterol Feeding

Suggestive evidence that cholesterol feeding may increase the number of thymidine-H3 labeled cells in the heart tissues of rabbits was presented. This increment appeared to be primarily restricted to the interstitial cells and was not related to associated degenerative, necrotic, or inflammatory changes. Evidence of DNA synthesis was also found in capillary endothelial cells and, rarely, in what were considered to be myocardial muscle cells.
The Industrial Age: Economy and Society in Britain, 1750-1995

PART ONE: INDUSTRIALISATION 1750-1830. PART TWO: THE INDUSTRIAL ECONOMY 1830-1914. PART THREE: INDUSTRIALISATION AND SOCIETY 1750-1914. PART FOUR: PROSPERITY AND PROBLEMS: THE ECONOMY 1914-95. PART FIVE: ECONOMY AND SOCIETY 1914-45.
A Study on a Linear Magnetic-Geared Interior Permanent Magnet Generator for Direct-Drive Wave Energy Conversion

The conventional linear permanent magnet generator (CLPMG) for direct-drive wave energy conversion (WEC) has experienced many drawbacks that are difficult to overcome such as low power density and bulky system volume. To improve power density, this paper proposes a linear magnetic-geared interior permanent magnet generator (LMGIPMG) with tubular topology, which artfully incorporates a linear magnetic gear into a linear permanent magnet generator. The operating principle of the LMGIPMG is introduced, and a detailed analysis of air gap flux density, thrust force characteristics, and no-load and load performances are presented and discussed by using finite element method. The CLPMG, which produces the same power as the LMGIPMG, has about four times the volume of the latter. A prototype CLPMG is manufactured to verify simulation results against experimental tests. The design method and the operation conditions of LMGIPMG and CLPMG are both consistent; thus, the performance of LMGIPMG meets the operation requirements of the direct-drive WEC.