Miracle-dz/UniFAR-FTUs huggingface dataset:
Understanding and evaluating blind deconvolution algorithms

Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have afforded dramatic progress, yet many aspects of the problem remain challenging and hard to understand. The goal of this paper is to analyze and evaluate recent blind deconvolution algorithms both theoretically an d experimentally. We explain the previously reported failur e of the naive MAP approach by demonstrating that it mostly favors no-blur explanations. On the other hand we show that since the kernel size is often smaller than the image size a MAP estimation of the kernel alone can be well constrained and accurately recover the true blur. The plethora of recent deconvolution techniques makes an experimental evaluation on ground-truth data important . We have collected blur data with ground truth and compared recent algorithms under equal settings. Additionall y, our data demonstrates that the shift-invariant blur assump tion made by most algorithms is often violated.
Workshop on Emerging Trends in Software Metrics (WETSoM 2010)

The Workshop on Emerging Trends in Software Metrics aims at bringing together researchers and practitioners to discuss the progress of software metrics. The motivation for this workshop is the low impact that software metrics has on current software development. The goals of this workshop are to critically examine the evidence for the effectiveness of existing metrics and to identify new directions for development of software metrics.
Advancements and Application of Microsecond Synchrotron X-ray Footprinting at the Advanced Light Source

Advancements and Application of Microsecond Synchrotron X-ray Footprinting at the Advanced Light Source Sayan Gupta, Rich Celestre, Jun Feng & Corie Ralston To cite this article: Sayan Gupta, Rich Celestre, Jun Feng & Corie Ralston (2016) Advancements and Application of Microsecond Synchrotron X-ray Footprinting at the Advanced Light Source, Synchrotron Radiation News, 29:1, 39-44, DOI: 10.1080/08940886.2016. 1124684 To link to this article: http://dx.doi. org/10.1080/08940886.2016. 1124684
Agents with Complex Plans: Design and Implementation of CASA

We describe the design of CASA, an agent specification language that builds on the formal agent specification approach AgentSpeak(L) and extends it by concepts from concurrent logic programming. With CASA it is possible to design agents with complex behavior patterns like speculative computations and parallel executed strategies. The design of multi agent systems composed of CASA agents is supported by providing predefined message structures and integrating an existing agent communication framework.
Cultural Adaptation of the Systematic Treatment Selection Innerlife (STS-Innerlife) with An Urban Mainland China Sample

SONG, XIAOXIA, M.S., May 2013, Psychology Cultural Adaptation of the Systematic Treatment Selection Innerlife (STS-Innerlife) with An Urban Mainland China Sample Director of Thesis: Timothy M. Anderson This study aims to examine the consistency of Systematic Treatment Selection Innerlife (STS-Innerlife) for China sample and develop a culturally adapted STS instrument in China. The STS-Innerlife was used as the measure of patient characteristics in this study. The STS instrument has been found in numerous studies to have sound reliability and validity in North American and Europe. This was a first attempt to assess the STS instrument‘s reliability in an Eastern country. In this study, the English language version was used as a template from which the translation (and back translation) was constructed for Chinese samples. A total of 300 non-clinical participants collected from Mainland China and 240 non-clinical US archival data were used. Confirmatory Factor Analysis (CFA) and Exploratory Factor Analysis (EFA) were used to assess the factor structure of the US and Chinese samples on STS treatment items. The EFAs evinced that the US and China samples share similar factor structure and they demonstrated two crossculturally consistent factors, Externalized Distress and Internalized Distress.
MODELLING CELL MOTILITY AND CHEMOTAXIS WITH EVOLVING SURFA CE FINITE ELEMENTS: SUPPLEMENTARY MATERIAL

1. NOTATION AND PRELIMINARIES Here we define our notation and some basic facts and identitie s from differential geometry. For further details and proofs of the results we state we refer to the book y Do Carmo [1]. Throughout Γ denotes a closed smooth oriented d − 1 dimensional hypersurface in R, d = 2, 3, with outwardpointing unit normalν. For x ∈ Γ we will make the slight abuse of notation and denote by x both the pointx in Γ and the identity mapIΓ : Γ → Γ : IΓ(x) = x. Given a functionη defined in a neighbourhood of Γ, the tangential or surface gradient of η denoted by∇Γ is defined as (1.1) ∇Γη := ∇η −∇η · νν, where∇ denotes the Cartesian gradient in R. The Laplace-Beltrami operator ∆Γ is defined as the tangential divergence of the tangential gradient, i.e., (1.2) ∆Γη := ∇Γ · (∇Γη) . The mean curvature H of Γ with respect to the normal ν is defined as (1.3) H := ∇Γ · ν. Note that by this definition the mean curvature is the sum of th e principal curvatures and differs from the more common definition by a factor d−1 . Note also that our sign convention is such that the unit sphere haspositivemean curvature if ν is the unit outer normal. A fundamental identity that underp ins the numerical method is the following relationship between the Laplace-Beltrami of the identity map and the mean curvature vector (1.4) ∆Γx = −Hν. Another identity we shall make use of when approximating hig her order geometric flows on surfaces is for a smooth vector valued function η
Estimation of Hookean Parameters of Deformable Bodies from Real Videos

In this paper, we present a new method for estimating the linear elasticity parameters of soft bodies directly from videos of solids getting deformed under external user action. Our method requires one standard camera, a regular light source, a deformable solid and its 3D geometrical model. We make those estimations using an inverse method based on a quasi-static FEM simulation, large displacements, and a visual error metric. The result is a set of two parameters, the Young's modulus and the Poisson 's ratio, that can be used for more complex simulations, or force feedback applications like virtual surgery for example. We characterize different materials like silicon or synthetic sponge. Then we validate our results by comparing them to a Zwick universal hardness tester measurements. We also present a new simple device for capturing the external forces applied on the deformable solids.
Packet Parser Fast Path Slow Path Cache Miss Cache Hit Generic Match-Action Tables Ingress EgressMicroflow Cache Cache Miss Actions Megaflow Cache

Hypervisors use software switches to steer packets to and from virtual machines (VMs). These switches frequently need upgrading and customization—to support new protocol headers or encapsulations for tunneling and overlays, to improve measurement and debugging features, and even to add middleboxlike functions. Software switches are typically based on a large body of code, including kernel code, and changing the switch is a formidable undertaking requiring domain mastery of network protocol design and developing, testing, and maintaining a large, complex codebase. Changing how a software switch forwards packets should not require intimate knowledge of its implementation. Instead, it should be possible to specify how packets are processed and forwarded in a high-level domainspecific language (DSL) such as P4, and compiled to run on a software switch. We present PISCES, a software switch derived from Open vSwitch (OVS), a hard-wired hypervisor switch, whose behavior is customized using P4. PISCES is not hard-wired to specific protocols; this independence makes it easy to add new features. We also show how the compiler can analyze the high-level specification to optimize forwarding performance. Our evaluation shows that PISCES performs comparably to OVS and that PISCES programs are about 40 times shorter than equivalent changes to OVS source code.
The Changing Extent of the Glaciers Along the Western Ross Sea, Antarctica

We examine the change in terminus positions of glaciers flowing into the western Ross Sea, Antarctica, between 71°S and 78°S as a proxy for changes in snowfall and/or summer air temperature. This coastline’s major glaciers terminate in ice tongues, which are particularly sensitive to changes in flow rate and calving. Using historic maps and satellite imagery spanning 60 yr (A.D. 1955–2015), the terminus positions, ice speed, calving rates, and ice front advance and retreat rates for 34 glaciers are documented. Additionally, changes in regional ice flow speed from 2008 to 2014 are examined. No significant spatial or temporal patterns of terminus position, flow speed, or calving emerged, implying that the conditions associated with ice tongue stability are unchanged. A weak trend of advance may be present in the northernmost part of the coast, consistent with estimates of increased snow accumulation and glacier mass balance in that region. The stability of these glaciers over the past half century contrasts sharply with the rapidly shrinking glaciers of the Antarctic Peninsula and suggests that no significant climate change, as manifest in glacier change, has reached this region of Antarctica.
Sketchpad: a man-machine graphical communication system

The Sketchpad system makes it possible for a man and a computer to converse rapidly through the medium of line drawings. Heretofore, most interaction between man and computers has been slowed down by the need to reduce all communication to written statements that can be typed; in the past, we have been writing letters to rather than conferring with our computers. For many types of communication, such as describing the shape of a mechanical part or the connections of an electrical circuit, typed statements can prove cumbersome. The Sketchpad system, by eliminating typed statements (except for legends) in favor of line drawings, opens up a new area of man-machine communication.
Engineering a Multi-purpose Test Collection for Web Retrieval Experiments

Past research into text retrieval methods for the Web has been restricted by the lack of a test collection capable of supporting experiments which are both realistic and reproducible. The 1.69 million document WT10g collection is proposed as a multipurpose testbed for experiments with these attributes, in distributed IR, hyperlink algorithms and conventional ad hoc retrieval. WT10g was constructed by selecting from a superset of documents in such a way that desirable corpus properties were preserved or optimised. These properties include: a high degree of inter-server connectivity, integrity of server holdings, inclusion of documents related to a very wide spread of likely queries, and a realistic distribution of server holding sizes. We connrm that WT10g contains exploitable link information using a site (homepage) nding experiment. Our results show that, on this task, Okapi BM25 works better on propagated link anchor text than on full text.
Cursing in English on Twitter

Cursing is not uncommon during conversations in the physical world: 0.5% to 0.7% of all the words we speak are curse words, given that 1% of all the words are first-person plural pronouns (e.g., we, us, our). On social media, people can instantly chat with friends without face-to-face interaction, usually in a more public fashion and broadly disseminated through highly connected social network. Will these distinctive features of social media lead to a change in people’s cursing behavior? In this paper, we examine the characteristics of cursing activity on a popular social media platform – Twitter, involving the analysis of about 51 million tweets and about 14 million users. In particular, we explore a set of questions that have been recognized as crucial for understanding cursing in offline communications by prior studies, including the ubiquity, utility, and contextual dependencies of cursing.
ReMail: A Reinvented Email Prototype

Electronic mail has become the most widely used business productivity application. However, people increasingly feel frustrated by their email. They are overwhelmed by the volume, lose important items, and feel pressure to respond quickly. Though email usage has changed, our email clients largely have not. In this demonstration, we will show a prototype email client developed as part of a larger project on “reinventing email. ” This prototype incorporates capabilities for dealing with threads of related messages, a synchronous communication facility, and the ability to annotate individual messages. The prototype has been tested on a small set of users to evaluate its features. People particularly liked tools to view and navigate among messages in a thread, and the integration of synchronous awareness and communication with the email experience.
Exploiting semantic web technologies for recommender systems: a multi view recommendation engine

Collaborative filtering systems are probably the most known recommendation techniques in the recommender systems field. They have been deployed in many commercial and academic applications. However, these systems still have some limitations such as cold start and sparsty problems. Recently, exploiting semantic web technologies such as social recommendations and semantic resources have been investigated. We propose a multi view recommendation engine integrating, in addition of the collaborative recommendations, social and semantic recommendations. Three different hybridization strategies to combine different types of recommendations are also proposed. Finally, an empirical study was conducted to verify our proposition.
“Expressive and Flexible Access to Web-Extracted Data : A Keyword-based Structured Query Language”, by Jeﬀrey Pound,

Generally, two types of data are available, structured and unstructured data. In case of unstructured data, data can be of any type, not necessarily follow any format or rule. e.g. text,video,sound etc. On the other hand, in case of structured data, the data is organized in semantic chunks(entities). Similar entities are grouped together to form relations or classes. i.e. in case of structured data, some schema information is available. As an example ExDB,YAGO have schema items numbering in the millions. So, given such huge schema information, writing a structured query is a very hard task. This is called Information Overload Problem.
Iris imaging using reflection from the eye

A rapid iris acquisition, tracking, and imaging system can be used at longer standoff distances and over larger capture volumes, without the active cooperation of subjects. The captured iris images can be used for biometric identification. Light illuminates the subjects' eyes. Eye reflection from the eyes is used to steer a high resolution camera to the eyes in order to capture images of the irises.
Realtime global illumination using compressed pre-computed indirect illumination textures

In this paper, we present a way to render images in real time, with both direct and indirect illumination. Our approach uses precomputed indirect illumination images, produced at certain intervals, which need not be constant. When rendering a scene, the two closest images are then interpolated and added to the direct illumination to produce the total illumination. Depending on the type of image produced, the algorithm allows a camera to move, and even objects to be added or modified at runtime to some extent. Finally, we will see that the amount of data to store and process can also be reduced using a dimensionality reduction algorithm such as PCA.
The strength of flowering–temperature relationship and preseason length affect temperature sensitivity of first flowering date across space

Temperature sensitivity (ST) of phenology, defined as the shift of phenophase with per unit change of preseason temperature, has been widely used to quantify phenological response to climate change. The spatial variation in ST of spring phenology has been well studied for several woody plants, but how to explain it became a challenge. Several hypotheses to explain the spatial variation in ST have been proposed, but studies examining all potential factors together were very limited. In this study, using first flowering date (FFD) data for five widespread woody plants at 47 stations in China and the other five species at 421 stations in central Europe during 1964–2014, we calculated ST by using the Sen's slope of FFD on mean preseason temperature for each species at each station. Subsequently, multiple regression analysis was applied to examining whether ST followed the geographical (latitudinal, longitudinal, or vertical) gradients. At last, four potential influencing factors of ST were tested by Spearman partial correlation analysis. We found that ST of FFD was higher at lower latitude for most species in China. However, in central Europe, the variation of ST did not follow the geographical gradient for most species. Only one species (Fraxinus excelsior) showed a latitudinal gradient, and one (Betula pendula) showed a longitudinal gradient. For most species in both regions, the strength of FFD–temperature relationship and the preseason length could account for the spatial variation of ST to a more considerable extent compared to preseason temperature variance and chilling conditions. Our results suggest that we need to consider the effects of multiple factors on phenological response to temperature when simulating future phenological change.
uses the Gauss – Newton method for minimizing the error between the predicted pose and the true pose

The best of Kalman-filter-based frameworks reported in the literature for rigid object tracking work well only if the object motions are smooth (which allows for tight uncertainty bounds to be used for where to look for the object features to be tracked). In this contribution, we present a new Kalman-filter-based framework that carries out fast and accurate rigid object tracking even when the object motions are large and jerky. The new framework has several novel features, the most significant of which is as follows: the traditional backtracking consists of undoing one-at-atime the model-to-scene matchings as the pose-acceptance criterion is violated. In our new framework, once a violation of the pose-acceptance criterion is detected, we seek the best largest subset of the candidate scene features that fulfill the criterion, and then continue the search until all the model features have been paired up with their scene correspondents (while, of course, allowing for nil-mapping for some of the model features). With the new backtracking framework, our Kalman filter is able to update on a real-time basis the pose of a typical industrial 3-D object moving at the rate of approximately 5 cm/s (typical for automobile assembly lines) using off-the-shelf PC hardware. Pose updating occurs at the rate of 7 frames per second and is immune to large jerks introduced manually as the object is in motion. The objects are tracked with an average translational accuracy of 4.8 mm and the average rotational accuracy of 0.27◦.
BERT-PLI: Modeling Paragraph-Level Interactions for Legal Case Retrieval

Legal case retrieval is a specialized IR task that involves retrieving supporting cases given a query case. Compared with traditional ad-hoc text retrieval, the legal case retrieval task is more challenging since the query case is much longer and more complex than common keyword queries. Besides that, the definition of relevance between a query case and a supporting case is beyond general topical relevance and it is therefore difficult to construct a large-scale case retrieval dataset, especially one with accurate relevance judgments. To address these challenges, we propose BERT-PLI, a novel model that utilizes BERT to capture the semantic relationships at the paragraph-level and then infers the relevance between two cases by aggregating paragraph-level interactions. We fine-tune the BERT model with a relatively small-scale case law entailment dataset to adapt it to the legal scenario and employ a cascade framework to reduce the computational cost. We conduct extensive experiments on the benchmark of the relevant case retrieval task in COLIEE 2019. Experimental results demonstrate that our proposed method outperforms existing solutions.
APPLICATION TO CALCULATE POTENTIAL EVAPOTRANSPIRATION

The calculation of the water consumption of plants, is a guideline to manage the amount of water and the cultivation of crops.There is enough water to grow the crop,is reduce damage to farmers can be supported when drought or rain drops. The calculation of water consumption of plants can be done in a variety of method such as plant measurements using a tool the calculation of the weather data, etc. The results have a close approximation of the truth is calculated from the climate data, it will be required to use multi-area climate data and calibrate data. Therefore, this study offers an application for calculating the water consumption of the reference plants. Using 124 weather stations from Thailand's meteorological stations, the results can be used to calculate the water requirements of plants. Proposed evapotranspiration forecasts for different areas. Climate data can be manual update through the application and the evapotranspiration equation was recalculated. We use appsheet tool to create our application and connect our spreadsheet to compute evapotranspiration. It is can be calculate from the complex equation and easily to make application, easily to share the application to user.
Bellman Error Based Feature Generation using Random Projections on Sparse Spaces

This paper addresses the problem of automatic generation of features for value function approximation in reinforcement learning. Bellman Error Basis Functions (BEBFs) have been shown to improve policy evaluation, with a convergence rate similar to that of value iteration. We propose a simple, fast and robust algorithm based on random projections, which generates BEBFs for sparse feature spaces. We provide a finite sample analysis of the proposed method, and prove that projections logarithmic in the dimension of the original space guarantee a contraction in the error. Empirical results demonstrate the strength of this method in domains in which choosing a good state representation is challenging.