Miracle-dz/UniFAR-FTUs huggingface dataset:
Game Analysis of Behavior Choice on Construction of the Social Emergency Rescue System Between Government and Enterprises

The behavior choice between the social emergency rescue rules makers (government and its important participant enterprises) has a great influence on the social emergency rescue activities. So this paper makes an in-depth analysis on the behavior choice between government and enterprises in the social emergency rescue activities. We analyses the actions and motivations between government and enterprises through constructing the static and dynamic game model between government and enterprises in the emergency management technology innovation. Finally, the corresponding suggestions are proposed.
Intelligent Task Offloading in Vehicular Edge Computing Networks

Recently, traditional transportation systems have been gradually evolving to ITS, inspired by both artificial intelligence and wireless communications technologies. The vehicles get smarter and connected, and a variety of intelligent applications have emerged. Meanwhile, the shortage of vehicles' computing capacity makes it insufficient to support a growing number of applications due to their compute- intensive nature. This contradiction restricts the development of ICVs and ITS. Under this background, vehicular edge computing networks (VECNs), which integrate MEC and vehicular networks, have been proposed as a promising network paradigm. By deploying MEC servers at the edge of the network, ICVs' computational burden can be greatly eased via MEC offloading. However, existing task offloading schemes had insufficient consideration of fast-moving ICVs and frequent handover with the rapid changes in communications, computing resources, and so on. Toward this end, we design an intelligent task offloading scheme based on deep Q learning, to cope with such a rapidly changing scene, where software-defined network is introduced to achieve information collection and centralized management of the ICVs and the network. Extensive numerical results and analysis demonstrate that our scheme not only has good adaptability, but also can achieve high performance compared to traditional offloading schemes.
The Mag-Gripper: A Soft-Rigid Gripper Augmented With an Electromagnet to Precisely Handle Clothes

This letter introduces Mag-Gripper, a novel robotic gripper specifically designed for autonomous clothing manipulation. It is capable of improving grasp repeatability, and precision, compensating uncertainties in the target grasping locations. We propose to approach the autonomous clothing manipulation challenge by involving a suitable magnetic force. For this reason, Mag-Gripperis equipped with an electromagnet capable of interacting with small metal parts properly placed on the garment to be grasped. Electromagnet exploitation is not a novelty in literature, but our design innovation consists in embedding the electromagnet in the structure of a jaw gripper. In so doing, we revisit a classic end-effector type, corresponding to the simplest representation of a hand capable of opposability, allowing easily controllable devices to perform grasps similar to the human pinch grasp. Mag-Grippercan find applications either in Research labs investigating Machine Learning-based clothing manipulation techniques either in companies having to manage a large amount of returns, either in home setting scenarios.
Dietary relationships of migrant and resident birds from a humid forest in central Panama

ABSTP, ACr. --This study reports on food selection by Nearcftc migrants, especially thrushes (Catharus), wood-warblers (Oporornis, Seiurus, Wilsonia), and tyrant flycatchers (Empidonax) in a humid forest of central Panama. We attempt to determine how these migrants integrate into the resident bird community based on local food abundance and diet comparison between resident and migrant species. At our study site, migrants are most numerous during migration periods, especially in October when abundance of arthropods is low and fruits are plentiful. Migrants feed equally on fruits during both migrations, but overall depend more on an invertebrate diet. Actually, migrants feed extensively on a few invertebrate taxa that are mostly of two types: (1) small hard-bodied foliage-dwelling insects such as beetles and ants, which are of low nutritional value; and (2) invertebrates well known for producing distasteful or toxic chemicals, such as nonflying termites, millipedes, and centipedes. In contrast, the resident species feed more extensively on invertebrates of higher nutritional value (spiders, insect pupae, alate ants) and on large prey that are plentiful at tropical latitudes (orthopterans, lizards). Dietary relationships among species show that diet of migrants overlap little with that of resident species, even those with which they share a similar foraging substrate. However, unlike residents, migrants belonging to the same foraging guild have a highly similar diet. These results suggest hat past competitive interactions between migrants and residents were more important than the ones among migratory species in determining food selection by migrants. Whether the resulting high potential for competition among migrants is related to the short stay of most species at our study site or is a characteristic of several migrant populations at tropical latitudes needs further investigation. Received 8 June 1995, accepted 6 September 1995.
DNN-based Speech Enhancement for Improving Speech Quality and Intelligibility Simultaneously

In many deep learning based speech enhancement frameworks, the deep neural network (DNN) is usually trained under the mean square error (MSE) criterion to estimate the potential clean amplitudes. Yet, the MSE criterion is not directly connected with speech perception, which potentiates alternative training targets for further improvements in speech quality and intelligibility. This paper introduces maximizing the correlation between the enhanced speech and the reference, so as to further improve the speech quality and intelligibility of the enhanced speech synchronously. Based on the short-time Fourier transform amplitude spectra, the correlations are firstly calculated between the envelops along the time and frequency respectively. Then, the time and frequency envelop correlations are incorporated into the time-frequency correlation (TFC). Finally, the loss function is defined as 1 minus the TFC. In experiment, several loss functions containing the time and frequency envelop correlations are investigated. The system trained with the TFC loss outperforms the baseline trained with the MSE loss with promising improvements in both speech quality and intelligibility. Phoneme recognition results also confirm the effectiveness of maximizing the correlation for speech enhancement.
Integrated Gate Commutated Thyristor: From Trench to Planar

The planar Integrated Gate Commutated Thyristor (IGCT) concept is proposed to simplify the fabrication process of the device and improve the ruggedness as well as electrothermal performance of the device. The planar IGCT concept has been verified experimentally with 4.5kV devices fabricated on 4-inch Si wafers. Afterwards, the electrical characteristics of the planar IGCT were compared with that of the conventional (with trench or mesa gate) IGCT. Both the planar and the conventional IGCTs are fabricated with corrugated p-base referred to as High Power Technology (HPT) design. In addition, mixed-mode TCAD device simulations have been performed to verify the turn-off failure mechanism and to analyze the electro-thermal performance of the planar IGCT in reference to that of the conventional IGCT.
A Computationally Efficient Scheme for FMCW Radar Detection and Parameter Estimation

This paper presents a computationally efficient scheme for frequency-modulated continuous-wave (FMCW) radar detection and joint angle and frequency estimation in multiple-target scenario. The estimation of the target's parameters is based on the 2D-MUSIC method, and beamspace method is used to reduce the matrix dimension. Lagrangian multiplier method is applied to reduce the quadratic optimization problem in 2D-MUSIC to one-dimensional optimization after beamspace. Digital beam forming (DBF) algorithm is used to increase the probability of targets are detected and provide priori information for beamspace and spectral peak search. Finally, the simulation shows that our system has good performance in target detection ability, resolution ability, estimation accuracy and computational costs.
Review of Automatic Segmentation of MRI Based Brain Tumour using U-Net Architecture

Segmentation of brain tumour from the surrounding healthy brain tissues by a radiologist is a tedious task. For a safe brain surgery, it is essential to define the contour of brain tumour, for complete resection of tumour. Active research is being carried out in automatic tumour segmentation using deep learning networks for precise segmentation of tumour components. Deep learning networks are more effective at learning patterns and the performance of deep network increases when trained with more data. This paper reviews the automated segmentation of brain tumour in MRI images by using U-Net, and the deep learning network architecture. U-Net is a convolutional neural network architecture developed for segmentation of biomedical images.
CCSDS Rate-Compatible Product Code for Ka-Band Satellite Communications

The efficiency of Ka-band Satellite communication is very susceptible to several weather conditions. Error patterns of the Ka-band satellite channels under various weather conditions (clear/cloudy, rain and thundershower) indicate that errors neither happen separately at random nor in well-defined bursts, but a mixed manner. Therefore, designing codes that can correct random and burst errors simultaneously are highly desired. In this work, we introduce a configuration of a CCSDS rate compatible product code that includes both the CCSDS-recommended Reed-Solomon codes and the extended Hamming code. The proposed scheme not only achieves almost the same error performance of the CCSDS-recommended Reed-Solomon Convolutional concatenated codes but also has minimal decoding effort and memory requirement. Moreover, an analysis of the different weather conditions in the Ka-band for satellite communication will be introduced.
Vibration feature extraction via graph-modeled SVD for running stability assessment of industrial machine

Detection of structural changes in machine running state has been a long-standing problem in the monitoring and prognosis of industrial machinery. This paper presents a new method for this purpose. The singular values are obtained from collected vibration signals based on singular value decomposition (SVD). The graph is constructed from the resulting singular value series. Anomaly score is calculated between two graphs. Change decision is made by testing a null hypothesis testing based on the anomaly scores. The proposed method is investigated based on an experimental system setup and the results demonstrate significant improvements over some benchmark methods reported in the literature.
News Topic Discovery Through Community Detection

With the rapid development of communication and internet, there are a huge number of items of news every day. According to the characteristics of news dissemination, many pieces of news will focus on one topic about the same event or person. So, news topic discovery becomes a very important and urgent task in text mining. In fact, for news topic discovery, Latent Dirichlet Allocation (LDA) is the most frequently used model which considers each document being generated from a finite mixture of $K$ possible topics. However, the performance of LDA is not so satisfactory in practical applications. In this paper, we try to solve this problem through text structure mining. Our proposed method consists of two steps. The first step is to find out the topics as the clusters or communities of all the news items through the method of community detection, while the second step is to utilize the Bayesian unigram model to obtain the topic tokens for each topic. It is demonstrated by the experimental results that our proposed method can find out the topics much better than LDA on a real world news dataset.
Isotopic Self - Programming for the Embryonic Cell DNA Methylation Pattern

This paper is an original attempt to analyze a series of experimental data obtained lately by the author in a course of his long term studies on the probable role of isotopy in the molecular evolution of living systems as well as in the eukaryotic cell differentiation mechanisms. A dependence of the DNA double helix methylation process on the surrounding media / threads isotope composition is in a focus of the concept presented.
Effect of long-term administration of Chlorella tablets on hyperlipemia.

1) 外来通院中の高脂血症患者9例にこれまでの食事形態および内容を変えないという指示のもとに, クロレラの粒剤を, 1日9g (45粒) を1年間投与し, 血清総コレステロール, β-リポタンパク, 中性脂肪, HDL-コレステロールに与える影響を観察した。 2) 血清総コレステロールの前値は269. 92±16.22mg/dlを示した。 投与中1～4カ月の平均値は250. 60±16.88mg/dl, 5～8カ月値240. 48±19.18mg/dl, 9～12カ月値は238. 83±18.91mg/dlといずれも有意な低下が認められた。 LDL-コレステロールの前値194. 00±26.77mg/dl, 投与中1～4カ月の平均値173. 97±19.48mg/dl, 5～8カ月値168. 24±26.48mg/dl, 9～12カ月値160. 84±24.74mg/dlと有意な低下が認められた。 3) 同剤の長期投与における他覚的, 自覚的副作用は認められず, むしろ自覚症状の肩こり, イライラ, 疲労感, 便通などの改善が認められた例があった。 4) 今回の研究では, これまでの食事療法のように, 積極的な食事療法に基づく急激な食生活の変化を指導しなくても, クロレラ粒剤を投与することで血清脂質の改善の可能性が示されたことは高脂血症患者における, これからの簡便な食事療法の素材として, クロレラ粒剤が有用であることを示唆している。 今後高脂血症患者の症例を増やし検討をしたい。
A Transition Coniferous Forest in the Cascade Mountains of Northern Oregon

A 29 km transect was established in northern Oregon from near the summit of the High Cascades, eastward across Green Ridge, to the W rim of Fly Creek canyon. The gradual eastward slopes descend in the Cascades from 1770 to 825 m, andc on Green Ridge from 1370 to 915 m. The area is geologically and physiographically simple. Precipitation averages over 150 cm annually in the W, 50 cm or less in the E. This transition region possesses an unusually rich coniferous flora, with 19 species on or near the transect. The subalpine forest on the upper slopes of the High Cascades includes Tsuga mertensiana, Abtes lasiocarpa, Pinus albicaulis, Pinus contorta, Abies amabilis and Juniperus communis var. saxatilis. The middle elevations of the Cascades and the crest of Green Ridge have forests of Pinus ponderosa, Abies grandis, Pseudotsuga. menziesii, Larix occidentalis, Picea engelmannii and Taxus brevifolia. Found on the Cascades slope, but absent from Green Ridge, are Pinus monticola, Tsuga heterophylla and Abies procera. Pinus ponderosa, Pseudotsuga menzzesii and Libocedrus decurrens are common to the lower altitudes on both the Cascades and Green Ridge slopes. The more xeric Green Ridge lowerslope also has Juniperus occidentalis in quantity. In isolated, well-watered sites at low elevations a few Pinus lambertiana and Thuja plicata grow. High elevation forests appear relatively stable in composition with the slow-growing T. mertensiana, A. lasiocarpa and possibly A. amabilis gradually increasing in proportion. Between 1050 and 1500 m on the Cascades, and between 1200 and 1370 m on Green Ridge, A. grandis is replacing the shade intolerant Pinus ponderosa, Pseudotsuga menziesii and Pinus contorta. L. decurrens is replacing Pinus ponderosa as the predominant species throughout much of the lower elevations. Only on the driest locations on the Cascades slope is regeneration adequate for P. ponderosa replacement. The lower eastern slopes of Green Ridge now appear to have a stable forest composition.
The effect of clomiphene on serum LH levels in immature rats primed with PMS.

幼若雌ラットに3IUのPMSおよびPMS注射後6時間にクロミヘンを投与し,両群の排卵に至るまでの卵巣,子宮重量および血中LHの変化を比較して次の結果を得た。 1. クロミヘン処理ラットでは,排卵が24時間遅れてみられたが,排卵数では差がなかった。 2. クロミヘン処理ラットでは,PMS注射48時間以後,子宮重量の増加が抑制された。 3. PMS処理ラットではLHの放出はPMS注射後55～57時間にみられたが,クロミヘン処理ラットでは24時間遅れて78,79時間にみられた。
PREVENTIVE CONTROL OF WHITE GRUBS ON A GOLF COURSE ROUGH, 2008

This study evaluated new insecticides for preventive control of white grubs in turf. The test was located on the irrigated rough, south-center side of fairway #8, at Thorn Apple Golf Club, Gallaway, Ohio. Treatments were applied 22 Apr & 1 Jul to plots 8 ft x 8 ft arranged in a RCB design replicated four times. Liquid treatments were applied using a 3 ft wide CO2 pressurized sprayer with TeeJet 8004 nozzles at 20 PSI calibrated to deliver 2.0 gal/1000 ft. Plots received daily irrigation. Field conditions at time of 22 Apr applications were: turf – 85% perennial ryegrass, 10 % tall fescue and 10 % Kentucky bluegrass, mowed at 3.0 inch, thatch-0.25-0.5 inch; soil – clay loam, humid, essentially flat, 70°F at 1 inch, 68°F at 3 inches; weather – air temp 72°F, partly cloudy, 0-3 mph wind from north northwest; pests – generally infested in 2006 & 2007. Field conditions at time of 1 Jul applications were: turf – same as above, 86°F at 1 inch, 82°F at 3 inches; weather – air temp 82°F, sunny, 0-3 mph wind from north northwest; pests – moderate adult JB activity noted. Efficacy data were obtained 3 Oct (165 & 95 DAT, respectively) by counting the number of live white grub larvae in one 12 inch wide by 24 inch sod sample (=2 ft) cut from the exact center of each plot. The sod cutter was set at 1.5-inch depth and the sod was torn apart and underlying soil was raked with metal hand cultivators to expose grubs. ANOVA was performed on untransformed totals per plot and means separated by LSD at α= 0.05. All treatments provided significant control, regardless of application date. Untreated checks had an average of 7.8 white grub larvae per ft, which is considered to be a moderate population. No phytotoxicity was observed after any of the treatments. This research was supported by industry gifts of research funding.
Gene‐Based Approaches to Crop Simulation

Use of process-based models of plant growth and development is increasing in both basic and applied research. Advances in genomics suggest the possibility of using information on gene action to improve simulation models, particularly where differences among genotypes are of interest. This paper reviews issues related to incorporating gene action in crop models, starting with an introduction to basic concepts of functional genomics. We recognize six levels of genetic detail in modeling approaches. Modeling gene action through linear estimates of effects on model parameters (Level 4) has shown promise in the common bean (Phaseolus vulgaris L.) model GeneGro. However, this approach requires extensive data on the genetic makeup of cultivars, and such data are still not routinely available. Software for simulating complex biochemical pathways offers the prospect of simulating processes such as photosynthesis or photoperiod control of flowering by considering interactions of regulators, gene-products, and other metabolites (Level 6), but such software applications may require an understanding of the reaction kinetics of large biomolecules existing at concentrations as low as one or two molecules per cell. Over the next decade, genetic information probably has the most to contribute in understanding temporal and tissue-level variation in the genetic control of specific processes and, for more applied modeling, in improving the representation of cultivar differences. Strategic decisions are needed on prioritization among species and traits to be modeled, as well as on how to improve collaboration with molecular biologists to better access and harness the data resulting from their research.
In vitro Antimicrobial Potential of Potentilla polyphylla Wall. ex Lehm. Taproot Extract Against Human Pathogens

Background: The whole plant of Potentilla polyphylla Wall. ex Lehm. (Rosaceae) is valued for its ethno-medicinal properties. It has been used as a folk remedy against a variety of ailments. Aim: This study aimed to assess the antimicrobial potential of P. polyphylla taproot extract against human pathogens. Methods: The antimicrobial activity of the aqueous methanol extract (1:4) against bacterial strains and clinically important yeast were assessed using the agar diffusion assay and minimum inhibitory concentration studies. Its effect was compared with some standard antibiotics. Results: The extract showed inhibition of 17.5-30.0 mm and minimum inhibitory concentrations of 0.01 mg/ml and 0.4 mg/ml against Streptococcus mutans and Candida albicans , respectively. Tested pathogens, except P. mirabilis, were found susceptible to standard antibiotics. Conclusions: Results showed that P. polyphylla possesses broad- spectrum antimicrobial properties and hence merits detailed phytochemical investigations for its pharmaceutical applications.
Wound assessment, imaging and monitoring systems in diabetic foot ulcers: A systematic review

Patients with diabetes mellitus have a lifetime risk of 15% to 25% of developing diabetic foot ulcers (DFUs). DFU is associated with significant morbidity and mortality. Wound imaging systems are useful adjuncts in monitoring of wound progress. Our study aims to review existing literature on the available wound assessment and monitoring systems for DFU. This is a systematic review of articles from PubMed and Embase (1974 – March 2020). All studies related to wound assessment or monitoring systems in DFUs were included. Articles on other types of wounds, review articles, and non‐English texts were excluded. Outcomes include clinical use, wound measurement statistics, hospital system integration, and other advantages and challenges. The search identified 531 articles. Seventeen full‐text studies were eligible for the final analysis. Five modalities were identified: (a) computer applications or hand‐held devices (n = 5), (b) mobile applications (n = 2), (c) optical imaging (n = 2), (d) spectroscopy or hyperspectral imaging (n = 4), and (e) artificial intelligence (n = 4). Most studies (n = 16) reported on wound assessment or monitoring. Only one study reported on data capturing. Two studies on the use of computer applications reported low inter‐observer variability in wound measurement (inter‐rater reliability >0.99, and inter‐observer variability 15.9% respectively). Hand‐held commercial devices demonstrated high accuracy (relative error of 2.1%‐6.8%). Use of spectroscopy or hyperspectral imaging in prediction of wound healing has a sensitivity and specificity of 80% to 90% and 74%to 86%, respectively. Majority of the commercially available wound assessment systems have not been reviewed in the literature on measurement accuracy. In conclusion, most imaging systems are superior to traditional wound assessment. Wound imaging systems should be used as adjuncts in DFU monitoring.
The Present Status of Exotic Mammals in the United States

This paper is designed to supply current information on the status of exotic wild mammals in the United States in more detail than that made available by the broader surveys of de Vos, Manville, and Van Gelder (1956) and Cottam (1956). In an attempt to secure the most recent information, inquiries were addressed to all state game administrators during April 1957, as well as to numerous other authorities throughout the country, asking about the current status of exotic mammals and their