Miracle-dz/UniFAR-FTUs huggingface dataset:
Robust Denoising Method Based on Tensor Models Decomposition for Hyperspectral Imagery

In the hyperspectral images (HSI) acquired by the new-generation hyperspectral sensors the signal dependent noise is an important limitation to the detection or classification. Therefore, noise reduction is an important preprocessing step to analyze the information in the hyperspectral image (HSI). A signal dependent noise cannot be reduced by conventional linear filtering. Therefore, a new method based on multiple linear regression (MLR) and Parallel factor analysis (PARAFAC) decomposition is proposed to estimate the noise of hyperspectral remote sensing image. Then, the estimated noise is used for whitening the colored structural noise. By using this transformation, the data noise from new-generation hyperspectral sensors is diminished, thereby allowing a minimization of negative impacts on hyperspectral detection and classification applications. Key–Words: Hyperspectral Imagery, Denoising, Detection, Classification, Hyperspectral Sensor
Health Monitoring during Aircraft Vertical Empennage Fatigue Test by Acoustic Emission Method

During aircraft fatigue testing under flight loading conditions, acoustic emission (AE) was used to monitor the health conditions of the inaccessible key components, thus guaranteeing the success of the whole test by the early detection of fatigue cracks. With high noise background due to severe vibration and high sound wave attenuation of the complex components, the AE work especially the data acquiring and processing were confronted with great difficulties. This paper presents health monitoring of aircraft vertical empennage fatigue test using acoustic emission. AE data analysis methods including spatial filtering and AE source linear localization, were used to predict the fatigue damage. According to the acoustic emission signal analysis results, the vertical empennage was disassembled for comprehensive inspection, and two fatigue cracks were found between the girder and the jointing places with the main structures, proving the effectiveness of the AE monitoring of the aircraft vertical empennage fatigue test.
Observing Collaboration in Small-Group Interaction

In this study, we define and test measures that capture aspects of collaboration in interaction within groups of three participants performing a task. The measures are constructed upon turn-taking and lexical features from a corpus of triadic task-based interactions, as well as upon demographic features, and personality, dominance, and satisfaction assessments related to the corpus participants. Those quantities were tested for significant effects and correlations they have with each other. The findings indicate that determinants of collaboration are located in measures quantifying the differences among dialogue participants in conversational mechanisms employed, such as number and frequency of words contributed, lexical repetitions, conversational dominance, and in psychological and sentiment variables, i.e., the participants’ personality traits and expression of satisfaction.
Oto-ID : Ear Recognition and Shape-based Human Detection for User Identification

This paper introduces Oto-ID: Ear Recognition and Shape-based Human Detection for User Identification. It is a user identification system that is designed to provide security over prolonged user interaction. It aims to provide solution to misrepresentation in asynchronous examination. It implements ear recognition for login and uses the human shape to continuously detect user presence. Principal Component Analysis and Feature Extraction are the approaches implemented in this study.
eaching in F lipped English C lassrooms

As acknowledged by educational communities, flipped classroom has been a novel and useful teaching model for digital classroom. However, it seems difficult and unclear for many teachers to implement flipped classroom in their lectures in practice. To solve this issue, this article explains how to conduct flipped teaching effectively and efficiently in English classes by adopting recent technologies. Specifically, a technology-enhanced framework is proposed to support peer instruction and just-in-time teaching in the flipped classroom model. Furthermore, issues such as how to select suitable and specific technical tools, and which functions/components should be included in the framework are introduced. In addition, this article reports on a work in progress project that flips a course of English for Specific Purposes with peer instruction and just-in-time teaching. The objectives of this project as well as the way to implement the proposed framework in real scenarios are presented. In depth analysis concerning technology-enhanced language learning, e-learning frameworks, and how such a flipped classroom facilitated students’ language enhancement and critical thinking skills are also included.
Structural Changes of Global Economy Based on Gross Capital Flows and International Investment Positions

Over the past decades two-way cross-border transactions in financial assets have increased among industrial countries. As a result, gross capital flows have expanded, and gross international asset and liability positions have ballooned. On the other hand, among emerging Asian economies, current account surplus has been continuing since the Asian crisis in 1997, and one-way asset transactions have become established. As a result, net capital flows and net international investment positions have increased. The purpose of this paper is to analyze the structural change of the global economy from the aspects of gross capital flows and international investment position over the past two decades. In particular, it describes the following three problems: (i) the so-called global saving glut hypothesis, which tries to explain global current account imbalances with a focus on the behavior of net capital flows, cannot explain the expansion of gross capital flows before the financial crisis in 2008, (ii) the expanding of US capital inflows and outflows before the financial crisis reflected “borrowing short and lending long” between the US and Europe, which was caused by highly leveraged balance sheets of European global banks since the introduction of the euro and active adoption of Basel II, and (iii) one of the most important reasons the large US current account deficit had been sustainable before the financial crisis was the existence of significant valuation effects derived from the ballooning of gross external assets, but the vulnerability of these highly leveraged international positions were revealed in the financial crisis.
Multiview Vehicle Tracking by Graph Matching Model

Using multiple visual cameras to sensing traffic, especially tracking of vehicles, is a challenging task because of the large number of vehicle models, non-overlapping views, occlusion, view change and time-consuming algorithms. All of them remain obstacles in real world deployment. In this work, we propose a novel and flexible vehicle tracking framework, which formulates matching problem as a graph matching problem and solve it from the bottom up. In our framework, many restrictions can be added into the graph uniformly and simply. Moreover, we introduced an iterative Graph Matching Solver algorithm which can divide and reduce the graph matching problem’s scale efficiently. Additionally, We also take the advantage of geographic information and make a combination with deep ReID features, motion and temporal information. The result shows that our algorithm achieves a 9th place at the AI City Challenge 2019.
Convolutional Neural Network Architectures for Gaze Estimation on Mobile Devices

Gaze estimation has numerous applications in humancomputer interaction, psychology and behavioral research, pedestrian direction estimation, and more. Inspired by the results of Krafka et. al. on their iTracker convolutional neural network (CNN), we constructed our own CNN, dubbed Gazelle, with a similar architecture to predict the point on the device screen at which an iPhone user is looking. In addition to the raw images of users’ face and eyes that Krafka et. al. used for iTracker, we supplement Gazelle with histogram-of-gradients (HOG) feature vectors computed over a cropped face image. This was done with the motivation of providing the CNN with a more semanticallyrich feature than just pixel values that can better capture qualities such as head pose, qualities we believe are important to gaze estimation. We find lower losses using HOG as an input parameter on training and validation sets, when compared to a CNN without HOG. We obtain an error of 4.85 on an independent test set for this method. These results show that our HOG improves results in the CNN relative to without, and that our method can be used to predict gaze on an iPhone screen.
of Financial Regulation and Compliance Emerald Article : Liquidity risk and performance of banking system

Purpose – The purpose of this paper is to examine liquidity risk in Pakistani banks and evaluate the effect on banks’ profitability. Design/methodology/approach – Data are retrieved from the balance sheets, income statements and notes of 22 Pakistani banks during 2004-2009. Multiple regressions are applied to assess the impact of liquidity risk on banks’ profitability. Findings – The results of multiple regressions show that liquidity risk affects bank profitability significantly, with liquidity gap and non-performing as the two factors exacerbating the liquidity risk. They have a negative relationship with profitability. Research limitations/implications – The period studied in this paper is 2004-2009, due to availability of the data. However, the sample period does not impair the findings since the sample includes 22 banks, which constitute the main part of the Pakistani banking system. Moreover, only profitability is used as the measure of performance. Economic factors contributing to liquidity risk are not covered in this paper. Originality/value – This is the first paper addressing the liquidity risk faced by the Pakistani banking system. Past researchers and practitioners have not given the proper attention to liquidity risk. This paper helps in understanding the factors of liquidity risk and their impact on the profitability of the banking system. The authors emphasise contemporary risk managers to mitigate liquidity risk by having sufficient cash resources. This will reduce the liquidity gap, thereby reducing the dependence on repo market.
Research on model correction based on scattered point cloud data surface reconstruction

Surface reconstruction based on point cloud data has been extensively studied. In this paper, the original data has a lot of noise and without normal vector information, so we use Poisson surface reconstruction algorithm to create 3D heart model, which has good robustness for noisy and irregular point cloud data. Then correct the shape by removing or adding points from the model surface to perfect the heart model, and reconstruct the new model by Power Crust algorithm based on the correctional surface point cloud data with normal vector, which is quick, accurate and efficient and very suitable for fast model correction. The results not only accurately display the spatial relationship of the heart, but also can be discretionary scaling and rotation in 3D space. The visual 3D graphical structures of the reconstructed heart model can display diseases (cardiopathy & arrhythmia) and enable catheter navigation in real time, which can help doctors to detect and diagnose diseases effectively, and improve the accuracy and security of medical diagnosis.
Alveolar base and dental arch widths with segmental arch measurements in different classes of malocclusions (A comparative study)

Background: The size and shape of the arches have considerable implications in orthodontic diagnosis and treatment planning. The aim was to evaluate and compare alveolar bases, dental arches and segmental arch dimensions of class II division 1, class III malocclusion groups with normal occlusion subjects and to check gender differences and maxillary and mandibular arch widths difference. Materials and Methods: Dental casts of 62 subjects aged between 18 28 years were included in the study. They were equally divided between males & females, consisting of 26 class I normal, 22 Class II division 1, and 14 Class III malocclusion and eleven liner measurements were utilized for each dental arch. Results: All measured dimensions were greater in males than in females except for mandibular inter alveolar premolar width and maxillary left canine molar distance in class III malocclusion and in maxilla than in mandible except inter molar width in class II and class III groups and alveolar base dimensions in class III malocclusion. In class I all measurements were wider than class II division 1 while, in class III was wider than class I in all mandibular alveolar base and mandibular inter premolar width and wider in all maxillary dental arch widths, all mandibular alveolar base dimensions and mandibular inter canine and premolar widths than class II division 1 group. Conclusion: Maxillary molar teeth in subjects with Class II division1 tend to incline buccally to compensate the insufficient alveolar base, while subjects with Class III malocclusion maxillary posterior teeth tend to incline lingually and mandibular posterior teeth inclined buccally due to the restriction in maxillary arch.
Animal production and Nitrogen : Global trends in growth and efficiency

This paper briefly reviews the changes in global animal production during the last 50 years, when total production has roughly tripled. Animal production systems are highly diverse and are responding to changes in markets. Systems have become more specialized, productive and larger, especially in developed and rapidly developing countries. Cattle still dominate the world in terms of animal biomass but pigs and poultry have increased faster in number and production. Animal production systems provide nutritious food to humans, income and survivability to numerous smallholder farms, and they may transform residues to valuable products. However, animal production is also implicated in environmental burdens through the emissions of ammonia and greenhouse gases to the atmosphere and nutrients (mainly nitrogen and phosphorus) to water bodies. Further, there are diseases that can be transmitted from animals to people (zoonosis). Nutrient losses greatly depend on the corresponding system, management and regulations. The total amounts of nitrogen and phosphorus in manure produced annually are similar to the amounts in synthetic fertilizer used annually, but manure nutrients are often not used efficiently. Nitrogen use efficiency (NUE) at animal level ranges from 5 to 45%, depending on animal category, feeding and management. NUE of mixed crop-animal systems may range from 5 to 65% depending on NUE at animal level, and the utilization of manure nitrogen and new nitrogen inputs. Solutions for improving N use efficiency in animal production are based on a coherent set of activities in the whole chain of “feed production – animal production – manure management”. A high NUE at system is achieved through a combination of a high NUE at animal level and an effective recycling and utilization of manure N in crop production. Various governmental regulations may contribute to a high NUE at system level
FOXN 1 Is Critical for Onycholemmal Terminal Differentiation in Nude ( Foxn 1 nu ) Mice

Lars Mecklenburg, w Ralf Paus, Zdenek Halata,z Lesley S. Bechtold,y Philip Fleckman,z and John P. Sundbergy Department of Dermatology, University Hospital Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany; wVeterinary Dermatopathology Consultant, Hamburg, Germany; zDepartment of Anatomy, University Hospital Hamburg-Eppendorf, University of Hamburg, Hamburg, Germany; yThe Jackson Laboratory, Bar Harbor, Maine, USA; zDepartment of Medicine, Division of Dermatology, University of Washington, Seattle, Washington, USA
Experimental study on single droplet drying of hydroxypropylated pea starch : Drying kinetics and particle morphology

Spray drying is widely used nowadays in the pharmaceutical and food industries to produce fine dry powders from a liquid solution by rapidly drying with a hot gas. The produced powders can be directly attached to larger particles by cohesive forces in order to improve the surface properties and/or alter the functionality of these larger particles, such as in the dry powder coating technology. For the efficient production of spray-dried fine powders it is crucial to find a suitable operating condition and an appropriate initial composition of the solution. In this paper, a single droplet drying suspension device is employed to investigate the drying process of hydroxypropylated pea starch particles. Using this device the influence of the drying air temperature (80-160°C) and of the initial solid content of the agent (15-30 %w/w) on the drying kinetics, shrinkage and locking point of a single liquid droplet are systematically investigated. Then, a lab-scale X-ray microtomograph is employed to acquire three-dimensional images of dried particles, which are then used to analyze their surface structure and internal morphology. This contribution provides guidelines for the production of powder suitable for the dry powder coatings by using spray dryers, and thus it may serve as a basis for
Greylist Unicast Detec � on Enumera � on Geoloca � on Valida � on Blacklist IPv

This paper provides a comprehensive picture of IP-layer anycast adoption in the current Internet. We carry on multiple IPv4 anycast censuses, relying on latency measurement from PlanetLab. Next, we leverage our novel technique for anycast detection, enumeration, and geolocation [17] to quantify anycast adoption in the Internet. Our technique is scalable and, unlike previous efforts that are bound to exploiting DNS, is protocolagnostic. Our results show that major Internet companies (including tier-1 ISPs, over-the-top operators, Cloud providers and equipment vendors) use anycast: we find that a broad range of TCP services are offered over anycast, the most popular of which include HTTP and HTTPS by anycast CDNs that serve websites from the top-100k Alexa list. Additionally, we complement our characterization of IPv4 anycast with a description of the challenges we faced to collect and analyze largescale delay measurements, and the lessons learned. CCS Concepts •Networks → Network measurement; Network structure; •General and reference→Measurement;
A Prototype Hybrid Algorithm to Detect Face Oval Based on Facial Expression Recognition

The facial expression recognition system (FERS) is a complex computer vision problem because it effects on occlusion, illumination, and imaging condition on the capture images. FERS consists of three stages in the basic structure. In this paper, we focus on the first stage because it is the complex one and need more calculations in comparing with other stages. The first stage in facial expression recognition called pre-processing step that includes acquiring image, face detection, and noise reduction. The core of this stage is to find the region of interest which represents the face region. A prototype algorithm of this step is based on combining two techniques which are the Viola Jones algorithm to detect face region, and integral projection to extract face oval. The proposed algorithm gives excellent results by examining it on two data base: Japanese Female Facial Expression (JAFFE) and Multimedia Understanding Group (MUG) facial expression database.
Russian Federation: Selected Issues; IMF Country Report 08/308; July 11, 2008

This Selected Issues paper for the Russian Federation was prepared by a staff team of the International Monetary Fund as background documentation for the periodic consultation with the member country. It is based on the information available at the time it was completed on July 11, 2008. The views expressed in this document are those of the staff team and do not necessarily reflect the views of the government of the Russian Federation or the Executive Board of the IMF.
GATEWAY FOR BLUETOOTH AND CAN COMMUNICATIONS PROTOCOLS

In many factory applications establishing communications between devices are traditionally implemented by wired links. The accessibility robustness of interface devices of CAN bus protocol is the mainly feature for its adoption by the automation market. But the wired networks are a disadvantage in installation and maintenance aspects, especially with fixed equipment where wires are in constant danger of breaking. In this paper, we propose a design of gateway to avoid communication between CAN bus and Bluetooth Piconet, with the main goal to provide way to solve and reduce the wired difficulties.
Students ' Evaluations of University Teaching : Dimensionality , Reliability , Validity , Potential Biases , and Utility

This article provides an overview of findings and research designs used to study students' evaluations of teaching effectiveness and examines implications and directions for future research. The focus of the investigation is on the author's own research that has led to the development of the Students' Evaluations of Educational Quality (SEEQ), but it also incorporates a wide range of other research. Based on this overview, class-average student ratings are (a) multidimensional; (b) reliable and stable; (c) primarily a function of the instructor who teaches a course rather than the course that is taught; (d) relatively valid against a variety of indicators of effective teaching; (e) relatively unaffected by a variety of variables hypothesized as potential biases; and (f) seen to be useful by faculty as feedback about their teaching, by students for use in course selection, and by administrators for use in personnel decisions. In future research a construct validation approach should be used in which it is recognized that effective teaching and students' evaluations designed to reflect it are multifaceted, that there is no single criterion of effective teaching, and that tentative interpretations of relations with validity criteria and with potential biases must be scrutinized in different contexts and examine multiple criteria of effective teaching.
Nitrogen fertilization management can decrease methane emission from wetland rice fields of Central Vietnam

Wetland rice is the largest source of CH4 emission from cropping and also offers the most options to modify crop management for reducing these emissions. The experiment was conducted in two rice cropping systems in 2014 and 2015 to assess the influence of rates and types of nitrogen fertilizer on CH4 emission in rice fields of Central Vietnam. Results show that high fertilizer N rates (120 kg N ha) increased seasonal cumulative CH4 emissions from 11.6 – 26.7 g m for urea and 6.7 – 19.5 g m for ammonium chloride in winter spring and summer cropping seasons relative to when no N fertilizer was applied. Replacing urea with ammonium chloride at the same N rate significantly reduced CH4 emissions by 35% (winter spring cropping season) and 32% (summer cropping season) at the rate of 120 kg N ha. Average CH4 emission was about 2.1 – 2.2 times higher in summer season as compared in winter spring season. To develop effective GHG mitigation strategies future work is needed to (i) quantify the effects on both CH4 and N2O emissions), (ii) investigate options for combining mitigation practices.