Miracle-dz/UniFAR-FTUs huggingface dataset:
Field-aligned mesh joinery

Mesh joinery is an innovative method to produce illustrative shape approximations suitable for fabrication. Mesh joinery is capable of producing complex fabricable structures in an efficient and visually pleasing manner. We represent an input geometry as a set of planar pieces arranged to compose a rigid structure, by exploiting an efficient slit mechanism. Since slices are planar, to fabricate them a standard 2D cutting system is enough. We automatically arrange slices according to a smooth cross-field defined over the surface. Cross-fields allow representing global features that characterize the appearance of the shape. Slice placement conforms to specific manufacturing constraints.
Geographic Innovation Spillovers and Technology Risk Premia †

This paper proposes and empirically examines systematic technology risk due to geographic innovation spillovers. We argue that the covariation between local and aggregate technology shocks leads to risk premia as local firms’ profitability positively relate with local innovations through spillovers. We construct a data set containing detailed geographic information about U.S. patent inventors to estimate the covariation, and find that firms located in counties more sensitive to aggregate technology shocks provide significantly higher stock returns in both regressionand portfolio-based tests. Moreover, asset pricing tests based on representative portfolios and individual stocks suggest that such spillover-driven technology risk exists in the stochastic discount factor and is significantly priced. JEL classification: E44; G11; O30
A Balanced Clustering Algorithm for Non-uniformly Deployed Sensor Networks

Wireless sensor networks (WSNs) usually consist of small cheap sensors and they are extensively used for many applications including environment monitoring. In this paper, we focus on the problem that node density in a randomly deployed WSN differs region by region. In other words, sensor nodes are deployed non-uniformly over the network. Such a non-uniform topology makes clustering protocols less efficient. In this paper, we propose a new clustering algorithm for non-uniformly deployed sensor networks, which is called BCA (Balanced Clustering Algorithm). In BCA, each node determines the probability that the node itself becomes the cluster head (CH) by taking the node density, which is defined as the number of nodes within the node's sensing range in this paper, into account. As a result, the coverage area of each cluster is almost equally distributed and unused redundant nodes are turned into sleep mode. Therefore, a large deviation of coverage areas of clusters in a network is remarkably decreased and the unnecessary duplication of sensing and transmission is also minimized. Because of the sleeping nodes not sending duplicated information over entire network, inefficient energy consumption is significantly reduced and thus the network lifetime is prolonged. According to the results of performance evaluation, the proposed BCA reduces energy consumption and increases the network lifetime as well as distributes the detection area of each cluster more uniformly than the existing protocols.
Toward Digital Asset Protection

Man-at-the-end (MATE) attacks are an understudied branch of computer security. These attacks involve an adversary gaining an advantage by violating software or hardware under their control, directly or via a remote connection. On an individual scale, MATE attacks could violate the privacy and integrity of medical records and other sensitive personal data, and on a larger scale, they could cripple a national infrastructure (such as a power grid and the Internet itself). The goal of software protection (SP) research is to make software safe from such MATE attacks by preventing adversaries from tampering, reverse engineering, and illegally redistributing software. In July 2011, the Digital Asset Protection Association (DAPA) was launched to address the challenges specific to MATE attacks and SP research in general. As DAPA activities and efforts get underway, the ultimate goal is to establish standards and baseline definitions for SP research and to promote coordinated, open efforts among academia and industry.
I Can Sense It: a Comprehensive Online System for WSD

We have developed an online interface for running all the current state-of-the-art algorithms for WSD. This is motivated by the fact that exhaustive comparison of a new Word Sense Disambiguation (WSD) algorithm with existing state-of-the-art algorithms is a tedious task. This impediment is due to one of the following reasons: (1) the source code of the earlier approach is not available and there is a considerable overhead in implementing it or (2) the source code/binary is available but there is some overhead in using it due to system requirements, portability issues, customization issues and software dependencies. A simple tool which has no overhead for the user and has minimal system requirements would greatly benefit the researchers. Our system currently supports 3 languages, viz., English, Hindi and Marathi, and requires only a web-browser to run. To demonstrate the usability of our system, we compare the performance of current state-of-the-art algorithms on 3 publicly available datasets.
Bi-Hamiltonian nature of the equation u tx = u xy u y ! u yy u x

We study non-linear integrable partial di! erential equations naturally arising as bi-Hamiltonian Euler equations related to the looped cotangent Virasoro algebra. This infinite-dimensional Lie algebra (constructed in [16]) is a generalization of the classical Virasoro algebra to the case of two space variables. Two main examples of integrable equations we obtain are quite well known. We show that the relation between these two equations is similar to that between the Korteweg-de Vries and Camassa-Holm equations.
Detection of glaucoma based on the analysis of cardiovascular signals

Especially vascular dysfunctions seem to play an important role in the development of glaucoma. The objective of this study was to investigate if the blood pressure regulation is impaired in glaucoma patients. Therefore, 30min ECG and continuous blood pressure were recorded from 10 healthy controls (CON) and 19 patients with glaucoma (GC). The time series of heart rate, systolic and diastolic blood pressure were extracted and analyzed applying univariate linear and nonlinear univariate and bivariate methods (symbolic dynamics and joint symbolic dynamics) to separate the groups. The index plvar2_Dia (symbolic dynamics) from diastolic blood pressure variability revealed high significant differences between GC and CON leading to a sensitivity of 90% and specificity of 80%. The combination of this parameter plvar2_Dia with SP101 (joint symbolic dynamics, coupling systolic blood pressure with heart rate) led to an increased specificity of 90% while the sensitivity was maintained at 90%. Parameters from the symbolic dynamics were able to characterize the diastolic blood pressure and the coupling between heart rate and systolic blood pressure and separated the GC and CON. The changes in short term blood pressure regulation patterns and the coupling with heart rate are a sign of a vascular dysfunction. Therefore, this method might contribute to an improved and preterm diagnosis of glaucoma.
Xgobi: Interactive Dynamic Graphics In The X Window System With A Link To S

A circuit module is disclosed wherein a supporting framework for the module also serves as a voltage and ground bus structure for providing appropriate connections for voltage distribution to circuit boards which are assembled on the framework to form the walls of the module. This facilitates the use of circuit board input-outupt connections on all edges. The completed structure forms a hollow configuration which acts as a plenum chamber to facilitate the cooling of components mounted on the circuit boards. Two different types of supporting frameworks are disclosed. Also disclosed are arrangements for disposing assemblies of circuit modules within cabinets in such a manner as to facilitate ready access thereto.
Model-driven consolidation of Java workloads on multicores

Optimal resource allocation and application consolidation on modern multicore systems that host multiple applications is not easy. Striking a balance among conflicting targets such as maximizing system throughput and system utilization while minimizing application response times is a quandary for system administrators. The purpose of this work is to offer a methodology that can automate the difficult process of identifying how to best consolidate workloads in a multicore environment. We develop a simple approach that treats the hardware and the operating system as a black box and uses measurements to profile the application resource demands. The demands become input to a queueing network model that successfully predicts application scalability and that captures the performance impact of consolidated applications on shared on-chip and off-chip resources. Extensive analysis with the widely used DaCapo Java benchmarks on an IBM Power 7 system illustrates the model's ability to accurately predict the system's optimal application mix.
Measurement invariance of second-order factor model of the Multifactor Leadership Questionnaire (MLQ) across K-12 principal gender

Purpose The purpose of this paper is to investigate the factor structure and the measurement invariance of the Multifactor Leadership Questionnaire (MLQ) across gender of K-12 school principals (n=6,317) in the USA. Design/methodology/approach Nine first-order factor models and four second-order factor models were tested using confirmatory factor analysis. Findings The results suggested that the nine-factor model provided the best fit for the data. Further examination revealed that most constructs lacked convergent validity and discriminant validity. Second-order factor models were tested and the hierarchical model with two higher order factors (i.e. transformational and transactional leadership) was deemed the best fit and it was then tested for measurement invariance between females and males. The measurement model was found to be invariant across gender. Findings suggested that female school principals demonstrated significantly greater transformational leadership behaviour, while male school principals demonstrated significantly greater transactional leadership behaviour. Originality/value This study addressed construct and factor issues previously associated with the MLQ in the measurement of transformational and transactional leadership among a variety of organizations. By using a sample of K-12 school principals across gender, this study has provided support that may ameliorate contextual doubts of transformational leadership behaviour when examining the relational aspects needed to improve schools.
Comlexity of prime-dimensional sequences over a finite field

V.I. Arnold has recently defined the complexity of a sequence of $n$ zeros and ones with the help of the operator of finite differences. In this paper we describe the results obtained for almost most complicated sequences of elements of a finite field, whose dimension $n$ is a prime number. We prove that with $n\to \infty$ this property is inherent in almost all sequences, while the values of multiplicative functions possess this property with any $n$ different from the characteristic of the field. We also describe the prime values of the parameter $n$ which make the logarithmic function almost most complicated. All these sequences reveal a stronger complexity; its algebraic sense is quite clear.
- 1-BASIC METHODS FOR IMAGE RESTORATION AND IDENTIFICATION

Images are produced to record or display useful information. Due to imperfections in the imaging and capturing process, however, the recorded image invariably represents a degraded version of the original scene. The undoing of these imperfections is crucial to many of the subsequent image processing tasks. There exists a wide range of different degradations that need to be taken into account, covering for instance noise, geometrical degradations (pin cushion distortion), illumination and color imperfections (under/over-exposure, saturation), and blur. This chapter concentrates on basic methods for removing blur from recorded sampled (spatially discrete) images. There are many excellent overview articles, journal papers, and textbooks on the subject of image restoration and identification. Readers interested in more details than given in this chapter are referred to [2, 3, 9, 11, 14].
A novel location method for an inconspicuous target based on affine invariability mapping

Locating an inconspicuous object is critical in remote distance space-based measurement. An indirect location method is presented based on the locations of the salient regions, from which the location of the inconspicuous object is transferred indirectly. The location problem of inconspicuous object is considered via affine invariability, which existed in the remote measurement. Salient region detection and matching are carried out first to match the real-time images and template images, and then affine transform is established related to the two images via affine function. The ultimate aim of location is achieved by homography matrix, which is calculated by homologous feature points between the real time image and template image. At the end of this paper, experiment is performed to prove the validity of this method.
Dynamical mechanisms for skeletal pattern formation in the vertebrate limb

We describe a ‘reactor–diffusion’ mechanism for precartilage condensation based on recent experiments on chondrogenesis in the early vertebrate limb and additional hypotheses. Cellular differentiation of mesenchymal cells into subtypes with different fibroblast growth factor (FGF) receptors occurs in the presence of spatio–temporal variations of FGFs and transforming growth factor–betas (TGF–βs). One class of differentiated cells produces elevated quantities of the extracellular matrix protein fibronectin, which initiates adhesion–mediated preskeletal mesenchymal condensation. The same class of cells also produces an FGF–dependent laterally acting inhibitor that keeps condensations from expanding beyond a critical size. We show that this ‘reactor–diffusion’ mechanism leads naturally to patterning consistent with skeletal form, and describe simulations of spatio–temporal distribution of these differentiated cell types and the TGF–β and inhibitor concentrations in the developing limb bud.
Organisational Learning in the UK Construction Industry: A Knowledge Management Approach

This paper describes the work of an EPSRC (Engineering and Physical Sciences Research Council) and DETR (Department for the Environment and the Regions) funded research project – B-Hive (Building a High Value Construction Environment). The research sought to further develop partnering initiatives in the construction industry through learning and reflection. Review processes and appropriate information systems were created to share and store knowledge and assist with the task of more closely integrating the activities of companies which collaborate on construction projects. It is envisaged that these new processes will help in the creation of a more open, co-operative and less confrontational culture that will enable project participants to learn from both collective experience and the knowledge of individuals. Reflection upon this work has enabled us to propose our own knowledge categories of soft knowledge and interpretative knowledge which may be useful for the formulation of knowledge management strategies.
Overview of the Regulatory Network of Plant Seed Development (SeeDev) Task at the BioNLP Shared Task 2016.

This paper presents the SeeDev Task of the BioNLP Shared Task 2016. The purpose of the SeeDev Task is the extraction from scientific articles of the descriptions of genetic and molecular mechanisms involved in seed development of the model plant, Arabidopsis thaliana. The SeeDev task consists in the extraction of many different event types that involve a wide range of entity types so that they accurately reflect the complexity of the biological mechanisms. The corpus is composed of paragraphs selected from the full-texts of relevant scientific articles. In this paper, we describe the organization of the SeeDev task, the corpus characteristics, and the metrics used for the evaluation of participant systems. We analyze and discuss the final results of the seven participant systems to the test. The best F-score is 0.432, which is similar to the scores achieved in similar tasks on molecular biology.
An Economic Analysis of Used Electric Vehicle Batteries Integrated Into Commercial Building Microgrids

Current policies in the U.S. and other countries are trying to stimulate electric transportation deployment. Consequently, plug-in electric vehicle (PEV) adoption will presumably spread among vehicle users. With the increased diffusion of PEVs, lithium-ion batteries will also enter the market on a broad scale. However, their costs are still high and ways are needed to optimally deploy vehicle batteries in order to account for the higher initial outlay. This study analyzed the possibility of extending the lifecycle of PEV batteries to a secondary, stationary application. Battery usage can be optimized by installing used battery packs in buildings' microgrids. Employed as decentralized storage, batteries can be used for a microgrid's power supply and provide ancillary services (A/S). This scenario has been modeled with the Distributed Energy Resources Customer Adoption Model (DER-CAM), which identifies optimal equipment combinations to meet microgrid requirements at minimum cost, carbon footprint, or other criteria. Results show that used PEV batteries can create significant monetary value if subsequently used for stationary applications.
Customer Capital ∗ Preliminary and Incomplete

Firms spend significant resources on creating and maintaining long-term customer relationships. We explore the role of this customer capital a form of intangible capital for firm valuation and physical investment. We build a general equilibrium model of long-term customer relationships, where existing customers are partially locked-in due to frictional product markets, and firms advertise, competing for customers by offering discounts. Calibrating the model, we find that it reproduces the low correlation of investment with Tobin’s Q, and the high correlation of investment with cash flows found in data. Consistent with our model, we find that in the data investment is more correlated with cash flows, and less with Q, in industries where customer capital (as proxied by advertising expenses) is more important.
Distributed Localization for 2-D Sensor Networks With Bearing-Only Measurements Under Switching Topologies

This paper investigates the problem of bearing measurement based distributed localization for sensor networks that are undirected and switching. Each node holds a local coordinate system with no knowledge about the global coordinate system and measures the bearing angle information about its neighbors in its local coordinate system. A novel scheme for localization is developed using a complex Laplacian to overcome the challenges due to the absence of a global coordinate system and the presence of topology switching in communication. First, by using bearing-only measurements, an algorithm is proposed to establish linear equation constraints for the coordinates of sensor nodes in the global coordinate frame. The main idea is that each node uses its own bearing and its neighbors' bearing information to construct a similar configuration, though it is not able to recover the true configuration by using only bearing measurements. Second, a distributed iterative algorithm is proposed such that all the sensor nodes can cooperatively find the true coordinates of themselves. It is shown that the algorithm exponentially converges, provided that the communication network jointly satisfies certain connectivity properties. The simulation results validate our proposed algorithm.
Non-perturbative superpotentials across lines of marginal stability

We discuss the behaviour of non-perturbative superpotentials in 4d N = 1 type II compactifications (and orientifolds thereof) near lines of marginal stability, where the spectrum of contributing BPS D-brane instantons changes discontinuously. The super- potential is nevertheless continuous, in agreement with its holomorphic dependence on the closed string moduli. The microscopic mechanism ensuring this continuity involves novel contributions to the superpotential: As an instanton becomes unstable against decay to several instantons, the latter provide a multi-instanton contribution which reconstructs that of the single-instanton before decay. The process can be understood as a non-perturbative lifting of additional fermion zero modes of an instanton by interactions induced by other instantons. These effects provide mechanisms via which instantons with U(1) symmetry can contribute to the superpotential. We provide explicit examples of these effects for non-gauge D-brane instantons, and for D-brane gauge instantons (where the motions in moduli space can be interpreted as Higgsing, or Seiberg dualities).
The Cascading Bridge Design Pattern

public class AppStore { public static AppStore current() {return current;} public static void install(AppStore as) {current=as;} private static AppStore current; abstract public void commit(Application app); abstract Application retrieve(int id); }public void commit(Application app); abstract Application retrieve(int id); } It has methods for maintaining the current handler (current, install), as well as abstract methods provided for the benefit of the domain model. A simple implementation of AppStore stores Applications in memory: public class AppMemStore extends AppStore { private Hashtable apps = new Hashtable(); public void commit(Application app) { apps.put(new Integer(app.getId()),app); } Application retrieve(int id) { return (Application)apps.get(new Integer(id)); } } A simple application would use an AppMemStore directly: public class Client { static void init() { AppStore.install(new AppMemStore()); } static void test() { Application a1 = new Application(1,"barnie"); a1.commit(); Application a2 = Application.retrieve(1); . // compare a1 and a2 } public static final void main(String[] argv) { init(); test(); } } If instead a remote connection is desired, the Client.init routine simply installs an appropriate subclass of AppStore: public class Client { static void init() { AppStore.install(new AppRMI()); } . // same as before } AppRMI communicates to the server using RMI. Here we assume class AppRemote has been defined and had a client stub generated with standard RMI development tools. AppRMI then forwards requests to an AppRemote instance (potentially having to deal with network failures which are ignored here): public class AppRMI extends AppStore {
Optimization for Envelope Shaped Operation of Envelope Tracking Power Amplifier

This paper describes the analysis of an optimized envelope shaping function for the envelope tracking power amplifier (ET PA) and its implementation. The proposed shaping function, which is sweet spot tracking with crest factor reduction, improves the efficiency and output power of the power amplifier (PA), as well as its linearity. For an accurate simulation of the supply modulator, an equivalent model of the PA under the envelope shaping is suggested. To achieve high efficiency and wide bandwidth, the CMOS supply modulator has a hybrid structure of a switching amplifier and a linear amplifier. The fabricated ET PA delivers higher efficiency and better linearity than standalone PA for the wideband code division multiple access and long-term evolution signals.