Miracle-dz/UniFAR-FTUs huggingface dataset:
THE DOMINANT RESONANCE RESPONSE OF PARKWAY BASIN

An analysis of a suite of 85 earthquakes recorded on an array of 20 seismographs which had been installed on a small soft-soil basin, is described. The basin is a 400m wide, 600m long, resonant section of a valley filled with over 15m of soft soil. Summing normalised spectra of horizontal motion over all sites and all events showed three resonant frequencies. The dominant frequency of 1.57Hz was chosen for further study using a combination of narrow-band filtering, component rotation and forming wavenumber spectra. The response at this frequency was found often to be due to transverse waves travelling down valley at 1.3km/sec.
Visual coherence and usability: a cohesion metric for assessing the quality of dialogue and screen designs

Interface design metrics help developers evaluate user interface quality from designs and visual prototypes before implementing working prototypes or systems. Visual coherence, based on the established software engineering concept of cohesion, measures the fit between the layout of user interface features and their semantic content. Visually coherent interfaces group semantically more closely related features together, enhancing comprehension and ease of use. Preliminary research using a scenario-based technique with built in validity checks found professional developers preferred more visually coherent designs and rated them easier to use, even when these departed from familiar dialogue conventions. Implications for design and further research are discussed.
An Experimental Investigation Runol Production in Permeable Soils

In an area of low intensity rainfall and permeable soils, three hillside plots were instrumented for a study of runoff-producing mechanisms. Runoff from the plots was measured at the ground surface, the base of the root zone, and in the zone of perennial gro.undwater seepage. Data on soil moisture, water-table elevation, and piezometric head were also collected during natural and artificial storms. The data showed that, as the infiltration capacity of the soil exceeded the rainfall intensities that occurred and that were applied, overland flow generated by the mechanism described by Horton did not occur. Although soils and topography were those generally thought to be conducive to subsurface stormflow, the runoff produced by this mechanism was too small, too late, and too insensitive to fluctuations of rainfall intensity to add significantly to stormflow in the channel at the base of the hillside. When the water table rose to the surface of the ground, however, overland flow was generated on small areas of the hillside. Only when this overland flow occurred were significant amounts of stormflow contributed to the channel by the hillside. The return periods of storms that would produce such overland flow were found to be very large.
INFLUENCE OF MODEL PARAMETERS ON VEHICLE SUSPENSION CONTROL

Numerical models are widely used to characterize the vehicle dynamics in order to control the active suspension process. However, little information is available on the evaluation of performance when the model parameters do not match real vehicle configurations. Obtaining estimates of the influence of these factors on the system control requires statistical analysis, which generates stochastic data on the issue under consideration. A sensitivity analysis of the test data is one the most successful approaches to this type of problem. A Monte Carlo simulation with uncertainty parameters for mass, front and rear stiffness and damping was used with design of experiments analysis to evaluate the performance of three methods of active suspension control (PID, MPC and LQR). In this study a sensitivity analysis was developed to determine the relevant factors and the crosscorrelation effects of their features. The methodology is applied to a model of a passenger car, which is excited by an asymmetric speed bump and uneven road profile. The changes in the behavior of the main parameters of each controller were observed and evaluated as improved for the PID and MPC controllers and worsened for the LQR controller when compared to the designed condition.
Adaptive time-frequency data fusion for speech enhancement

This paper proposes an adaptive time- frequency data fusion technique for the reduction of noise in speech signals using an array of two mi- crophones. Recently, it has been shown that phase- error filtering can be a simple and effective method for "cocktail party" noise removal. However, while this technique is successful when the recorded speech sig- nal is veq noisy (less than lOdB signal-to-noise ratio (SNR)), it also tends to severely degrade the signal at higher SNRs. In this paper, the phase-error filtering technique is extended to dynamically estimate the SNR and adjust the filter parameters accordingly. Simula- tion results show an SNR gain of lldB (with Gaussian noise) and an SNR gain of 17dB (Speech noise) at low SNRs without any signal degradation at higher SNRs. Speaker-independent speech recognition results using 5 speakers show that the proposed algorithm achieves a digit percent accuracy gain of 22% at OdB and 15% at 2OdB.
GENETIC VARIATION IN EARLY GROWTH , STEM STRAIGHTNESS AND SURVIVAL IN ACACIA CRASSICARPA

ARNOLD, R. J. & CUEVAS, E. 2003. Genetic variation in early growth, stem straightness and survival in Acacia crassicarpa, A. mangium and Eucalyptus urophyUa in Bukidnon province, Philippines. Results are reported from three provenance-family trials, one of Acacia crassicarpa, one of A. mangium and one of Eucalyptus urophyUa, established in Bukidnon province on the southern Philippine island of Mindanao. All trials contained seedlots representing the species natural geographic wide ranges and the A. mangium trial also included some seed orchard seedlots. Average growth at approximately age three years ranged from 9.3 m height with diameter at breast height (dbh) of 8.0 cm for E. urophyUa up to 10.9 m height and 12.2 cm dbh for A. mangium. Eucalyptus urophyUa showed good average stem straightness whilst both A. mangium and A. crassicarpa had relatively poor stem straightness. In A. crassicarpa there were significant differences between both provenances and families-withinprovenances for dbh and survival. In A. mangium, there were significant differences between regions, provenances-within-region and families-within-provenance for dbh, and between regions and families-within-provenance for stem straightness. The only significant differences for survival in A. mangium were those between provenancewithin-region. Significant differences were found between provenances of E. urophyUa for dbh, straightness and survival. However, these were much smaller than the differences between families-within-provenances for these traits. Estimates of individual tree heritabilities for growth traits and stem straightness were low to very low (0.07 to 0.15) for the three species, with the exception of straightness in A. crassicarpa which was moderate (0.25).
APPROPRIATE TECHNOLOGY FOR MAINTAINING GRAIN QUALITY IN SMALL-SCALE STORAGE

The quality of rice seed and grain in tropical regions can only be maintained for a short period of time in traditional open storage systems. A combination of poor drying techniques, open storage systems, high relative humidity and high ambient temperatures contribute to a reduction in seed and grain quality during the storage period. In many of these countries it is normal for grain to be re-dried during the storage period and pesticides applied to control insects. Seed can only be kept for 6 months prior to sowing and establishment rates are still often below 10%. Rodents and birds also cause major losses in most open storage systems. The International Rice Research Institute (IRRI) has undertaken studies in a many Asian countries, comparing commercial and locally manufactured hermetic sealed storage systems with traditional storage systems. Results from these studies have shown that sealed systems prevent the uptake of moisture by the grain from the outside atmosphere, reduce the number of live insects, prolong the viability of seed, and maintain grain quality. These studies have lead to the development of a 50kg super storage bag that fits inside the traditional storage bag and offers all of the attributes of a hermetic system.
Clinical Study Effects of Glucose Load and Nateglinide Intervention on Endothelial Function and Oxidative Stress

1 VIP Department, Beijing Hospital of the Ministry of Health, Dongdan Dahua, Road Number One, Beijing 100730, China 2 Endocrinology and Metabolism Department, Beijing Hospital of the Ministry of Health, Dongdan Dahua, Road Number One, Beijing 100730, China 3Ultrasound Division, Beijing Hospital of the Ministry of Health, Dongdan Dahua, Road Number One, Beijing 100730, China 4 Laboratory Division, Beijing Hospital of the Ministry of Health, Dongdan Dahua, Road Number One, Beijing 100730, China
L UMPED PARAMETER THERMAL MODEL OF PERMANENT MAGNET SYNCHRONOUS MACHINES

This paper describes a thermal equivalent circuit of Liquid Cooling Totally Enclosed Permanent Magnet Synchronous Machines (LCTE-PMSMs). Conductive heat transfer in all directions is taken into account. Specific care has been taken to represent them by equivalent circuit. The conductive heat transfer in heterogeneous media like slots and the convective heat transfer in the airgap and the end-winding are studied.
VOICE PLEASANTNESS : ON THE IMPROVEMENT OF TTS VOICE QUALITY

The aim of this paper is to validate the objective description of the voice pleasantness concept. This concept has been objectively defined on an exhaustive study based on subjective voice analysis, comparison and scoring[1, 2]. For increasing text-to-speech (TTS) voice pleasantness while maintaining speaker’s identity a set of procedures, that operate on time and frequency domains and encompass phonetic and prosodic levels, are proposed. These enhancement procedures have been integrated in widely know speech engines and the obtained results showed an effective gain on the evaluated parameters providing support to both methodology and objectives. The Mean Opinion Score (MOS) performance evaluations indicated pleasantness improvements of 7% for female voices and 3% for male voices when compared with systems that do not consider these quality aspects.
eBook Authoring System concept design and development

This paper presents the design and development of an authoring system for creating and building an application program for an eBook package, or an eBook portfolio, that would include metadata, meta-content, and other related materials and resources that are stored in a dedicated database. This system is basically a digitization process of the different phases of eBook authoring and development, as well as a structure collection of various types of content and information in a form of hypertext documents, multimedia, and presentations. Although the open eBook format standard has been developed in the late 1990s, it has been mainly driven by commercial and marketing issues in mind rather than academic or/and technical focus. The standard is to some extent limited, in the opinion of the authors, in some technical aspects, i.e. advanced search and indexations, as well as in the subject matter areas such as education where content requires more and diverse representations of the academic content. The authoring system, being proposed, has been designed with academic books in mind, it is still very much suitable for any type of documentation or eContent such as articles, papers, reports, and presentations. This approach of eBook and eContent authoring and development is very useful for online search, manipulation, indexing, distribution and even marketing purposes. Based on the proposed content structured content, web content can be easily and reliably accessible for search and information retrieval. Furthermore, Natural Language Processing techniques such as text mining, indexing, tagging, information retrieval for online content document processing would be implemented more reliable and efficiently. Overall design concepts and development of the authoring system approach is presented in this paper with the different phases involved.
Research on Trajectory Planning Method of Spraying Robot Based on NC Tool Path

Robot trajectory planning is the basis of robot's task, and it is also the foundation of trajectory tracking control. Trajectory planning of the goal is to satisfy the path constraints, obstacles and kinematic constraints, the robot capable of moving fast, accurate and stable and there are no dead angle of spraying the workpiece and uniform in spraying thickness. This paper aimed at free surface and uniform spraying problems, utilization of NC machining process and spraying process similarity is proposed using NC tool path generate spray path method for the trajectory planning. Establishment of the growth of spraying coating thickness mathematical model, to improve the coating thickness uniformity as the goal, research on the impact of spraying uniformity factor . And through the experimental result to prove the spray path planning of rationality and speed optimization of coating thickness uniform validity.
Glutamate Dysregulation in a TauP 301 L Mouse Model of Alzheimer ' s Disease

Glutamate Dysregulation in a TauP301L Mouse Model of Alzheimer’s Disease Holly C. Hunsberger Individuals at risk for developing Alzheimer’s disease (AD) often exhibit neuronal network hyperexcitability, particularly in the CA3 region of the hippocampus, in the years preceding AD diagnosis, suggesting that aberrant network activity might contribute to the pathogenesis of AD. Recently, the microtubule-binding protein tau has been implicated in this hyperexcitability. Removal of tau in AD models overexpressing amyloid-β (Aβ) or non-AD models of epilepsy decreases hyperexcitability and normalizes the excitation/inhibition imbalance. The exact mechanism by which tau produces hyperexcitability remains to be determined, but recent work suggests tau may mediate glutamatergic signaling. Glutamate is the primary excitatory neurotransmitter in the central nervous system and changes in glutamatergic neurotransmission affect the overall activity of neuronal networks. Although beneficial at low levels, high concentrations of extracellular (EC) glutamate can lead to cell death through excessive activation of glutamate receptors, a process referred to as excitotoxicity and linked to several neurodegenerative disorders, including AD. Here, we used a tau mouse model of AD (rTg(TauP301L)4510) to examine whether mutant P301L tau expression alters synaptic glutamate regulation in the dentate gyrus (DG), CA3 and CA1 regions of the hippocampus. To examine glutamate regulation in vivo, we used an amperometry coupled to ceramic-based microelectrode arrays (MEAs), which allows for measurement of tonic glutamate levels, potassium-evoked glutamate release, and glutamate clearance from the synapse. P301L tau expression did not affect tonic extracellular glutamate levels or clearance from the synapse in any region examined. Similarly, amplitudes of potassium-evoked glutamate release were similar between controls and TauP301L mice in the DG and CA1. However, memory-impaired TauP301L mice exhibited a 7-fold increase in glutamate release in the CA3 region of the hippocampus, and spatial reference memory errors correlated with potassium-evoked glutamate release in the CA3. These data suggest a possible novel mechanism, increased presynaptic glutamate release, by which tau may mediate hyperexcitability. GLUTAMATE DYSREGULATION IN A TAUP301L MOUSE MODEL i
Automatic collecting representative logo images from the Internet

With the explosive growth of commercial logos, high quality logo images are needed for training logo detection or recognition systems, especially for famous logos or new commercial brands. This paper focuses on automatic collecting representative logo images from the Internet without any human labeling or seed images. We propose multiple dictionary invariant sparse coding to solve this problem. This work can automatically provide prototypes, representative images, or weak labeled training images for logo detection, logo recognition, trademark infringement detection, brand protection, and ad-targeting. The experiment results show that our method increases the mean average precision for 25 types of logos to 80.07% whereas the original search engine results only have 32% representative logo images. The top images collected by our method are accurate and reliable enough for practical applications in the future.
Segmenting tree crowns from terrestrial and mobile LiDAR data by 1 exploring ecological theories 2 3

The rapid development of light detection and ranging (LiDAR) techniques is 26 advancing ecological and forest research. During the last decade, numerous single tree 27 segmentation techniques have been developed using airborne LiDAR data. However, accurate 28 crown segmentation using terrestrial or mobile LiDAR data, which is an essential prerequisite 29 for extracting branch level forest characteristics, is still challenging mainly because of the 30 difficulties posed by tree crown intersection and irregular crown shape. In the current work, 31 we developed a comparative shortest-path algorithm (CSP) for segmenting tree crowns 32 scanned using terrestrial (T)-LiDAR and mobile LiDAR. The algorithm consists of two steps, 33 namely trunk detection and subsequent crown segmentation, with the latter inspired by the 34 well-proved metabolic ecology theory and the ecological fact that vascular plants tend to 35 minimize the transferring distance to the root. We tested the algorithm on 36 mobile-LiDAR-scanned roadside trees and T-LiDAR-scanned broadleaved and coniferous 37 forests in China. Point-level quantitative assessments of the segmentation results showed that 38 for mobile-LiDAR-scanned roadside trees, all the points were classified to their 39 corresponding trees correctly, and for T-LiDAR-scanned broadleaved and coniferous forests, 40 kappa coefficients ranging from 0.83 to 0.93 were obtained. We believe that our algorithm 41 will make a contribution to solving the problem of crown segmentation in T-LiDAR 42 scanned-forests, and might be of interest to researchers in LiDAR data processing and to 43 forest ecologists. In addition, our research highlights the advantages of using ecological 44 theories as guidelines for processing LiDAR data. 45
Effect of warming moxibustion on expression of MMP 1 / 13 by JNK pathway of cartilage cells in rabbit knee osteoarthritis

Knee osteoarthritis (KOA) is one of the most common joint disease and causes the extensive concern in the international community. Up to now, effective treatment for KOA is deficient. Warming moxibustion (WM) which is an approach of curing body pain by burning moxa at specific spots on the skin is found to possess the ability to treat osteoarthritis. This study aims to preliminarily explore the mechanism of how WM influences the disease. Forty New Zealand White rabbits were bound with plaster cast at extension position to create the model of KOA. Of these rabbits, 10 rabbits served as normal controls (NC). 30 rabbits were randomly divided into warming moxibustion group (WM), diclofenac sodium group (DS) and model group (MG). HE staining and Mankin scoring were used to judge the pathological changes. Immunohistochemistry was used to investigate the expression of MMP1 and MMP13. Western blotting was utilized to further detect the protein expression of MMP1, MMP13, JNK1 and JNK2 after the intervention of WM therapy. Mankin’s score in model group compared with control group was significantly higher (P < 0.05), and Mankin’s scores of WM group and DS group were decreased significantly compared with the model group (P < 0.05). The experiment of immunohistochemistry indicated that MMP1 and MMP13 were significantly reduced by therapy of WM. Moreover, western blot assay has shown that expression of MMP-1/13 was also reduced (P < 0.05). And the expression of JNK1/2 was correspondingly reduced after the therapy of WM. In conclusion, JNK1 and 2 serving as the important member of JNK pathway might be obstructed by the approach of WM. WM might reduce the expression of MMP1 and MMP13 by JNK pathway. WM probably relives knee osteoarthritis by this way.
A Browser-based Interface for the Exploration and Evaluation of Hanabi AIs Extended Abstract

e card game Hanabi is partially observable, cooperative and strictly limits how players can communicate. is makes it an interesting target for AI researchers, and as such various dierent AIs for it have been developed. We developed our own AI based on Grice’s maxims of communication, and implemented a browserbased version of the game to have human players play with a number of dierent AIs. As a result of this experiment we have over 2000 logs of players interacting with 3 dierent AIs, that are publicly available. To make exploring these game logs easier and enable others to investigate AI behavior we present a modied version of our implementation which can be used to step through the games and display AI information and participant information. We believe the data set itself is interesting for future research, and that this user interface enables an easier way to interact with it, and that the implementation provides a good framework for the development of new AIs.
Carbon sequestration potential in community and collaborative forests in Terai , Nepal

The objectives of this research are to assess and compare the current annual carbon increment (CACI) in community managed forests and evaluate the carbon sequestration potential in the forests. For this three community forests (CFs) namely Budhha, Chureparwati and Chyandanda and three collaborative forests (CFMs) they were BankeMaraha, Tuteshwarnath and GadhantaBardibash of Terai region in Nepal were selected as research sites. Statistically, randomize block design (RBD) was set to carry out the sampling. Thus, altogether 176 permanent plots were established applying stratified random sampling. The diameter and height of trees, pole and sapling (DBH > 5 cm) were measured from each plots for three consecutive years. Meanwhile, samples of regeneration (DBH < 5 cm, herbs, shrub and litter were collected from concentric plots. Additionally, the soil samples were collected from 0 10, 10 30 and 30 60 cm depths. The biomass was calculated using the allometric equation and collected samples were analyzed in lab. Later, the biomass was converted into carbon which was further employed to assess the carbon sequestration potential. The monetary valuation was calculated at the rate of carbon sequestration US$ 5 t ha-1. The result revealed that estimated current annual carbon increment (CACI) was 2.85 t ha-1 in Chyandanda CF however leakage was -1.68 t ha-1 in BankeMaraha CFM. Moreover, the multiple comparisons Tukey's test showed that there were significant differences in CACIs among the forests. The worth of carbon sequestration potential was US$ 11613.41. Thus, these forests demonstrate the great potentiality under Reducing Emission from Deforestation and Forest Degradation (REDD+) mechanism.
Classification of Japanese Kanji using principal component analysis as a preprocessor to an artificial neural network

Applies principal component analysis (PCA) to the problem of classifying handwritten Kanji characters. PCA is a statistical tool which can yield substantial data reduction by representing each pattern in terms of a relatively small subset of orthonormal features (principal components) extracted from the input set. A PCA preprocessor to an artificial neural network has been used to reduce the dimensionality of a set of handwritten Kanji patterns to less than 5% of that of the original images. Reconstructions of the patterns from the preprocessed versions are quite impressive. Preliminary results yield nearly 90% correct classification of exemplars of 40 different Kanji characters, and also indicate that reconstruction requires more information than classification. These results demonstrate the effectiveness of PCA as a preprocessor for neural networks. <<ETX>>