Miracle-dz/UniFAR-FTUs huggingface dataset:
etabolic changes in visual cortex of neonatal monocular enucleated rat : a roton magnetic resonance spectroscopy study pril

Neonatal monocular enucleation (ME) is often employed to study the developmental mechanisms underlying visual perception and the cross-modal changes in the central nervous system caused by early loss of the visual input. However, underlying biochemical or metabolic mechanisms that accompany the morphological, physiological and behavioral changes after ME are not fully understood. Male SpragueDawley rats (N = 14) were prepared and divided into 2 groups. The enucleated group (N = 8) underwent right ME (right eye removal) at postnatal day 10, while the normal group (N = 6) was intact and served as a control. Three weeks after ME, single voxel proton magnetic resonance spectroscopy (1H MRS) was
Spiking brain models: Computation, memory and communication constraints for custom hardware implementation

We estimate the computational capacity required to simulate in real time the neural information processing in the human brain. We show that the computational demands of a detailed implementation are beyond reach of current technology, but that some biologically plausible reductions of problem complexity can give performance gains between two and six orders of magnitude, which put implementations within reach of tomorrow's technology.
UNIFORMLY-EXACT SECOND-ORDER SLIDING MODE CONTROL

The requirement of a uniformly bounded convergence time for all initial conditions is important for modern control theory. In particular the requirement appears in design of hybrid or switched systems. It can happen in such systems that a dynamic system repeatedly changes its configuration, and the configuration only lasts for some bounded time with its lower estimation known in advance. The natural requirement in that case is to get the desired system behavior before the next structural change takes place. Therefore, the exact regulation is to be achieved in uniformly bounded time irrespectively of the initial state at the time of the structural change. The corresponding transient convergence is called uniformly exact convergence (Angulo,Moreno,Fridman, 2011, 2012).
Network Voronoi Diagram Based Range Search

One of the most frequent queries in spatial and mobile databases is range search, which is originated from the construction of R-tree that limits the spatial database application to Euclidean distance. Nowadays, Geographic Information System (GIS) demands the applications to be practicable for factual distance, normally identified as network distance. Even though some algorithms are engaged in this area, network distance range search is still a time consuming and storage space occupation task. In this paper, we propose a novel approach which is based on Network Voronoi Diagram that is diffusely used in geometrical analysis. We are looking into how to improve the performance of range search query processing using Network Voronoi Diagram.
Inverse Reinforcement Learning with PI 2

We present an algorithm that recovers an unknown cost function from expert-demonstrated trajectories in continuous space. We assume that the cost function is a weighted linear combination of features, and we are able to learn weights that result in a cost function under which the expert demonstrated trajectories are optimal. Unlike previous approaches [1], [2], our algorithm does not require repeated solving of the forward problem (i.e., finding optimal trajectories under a candidate cost function). At the core of our approach is the PI (Policy Improvement with Path Integrals) reinforcement learning algorithm [3], which optimizes a parameterized policy in continuous space and high dimensions. PI boasts convergence that is an order of magnitude faster than previous trajectory-based reinforcement learning algorithms on typical problems. We solve for the unknown cost function by enforcing the constraint that the expert-demonstrated trajectory does not change under the PI update rule, and hence is locally optimal.
Towards programmable material: Flexible distributed algorithm for modular robots shape-shifting

The programmable material is one of the most challenging problem in micro-robotic field. In addition to the problems raised by manufacturing of millimeter-scale mobile devices; the conception of the distributed asynchronous algorithms allowing the coordination of large number of robots remains a very complex task. Programmable materials have many applications in field of paintable displays, prototyping, locomotion, . We propose in this paper an original flexible distributed algorithm allowing to reorganize a set of modular micro-robot into a desired target shape. The efficiency of such algorithm is assessed on the basis of the memory requirements, communication load and the amount of performed movements to reach the final shapes. The proposed algorithm shows a great flexibility concerning the range of target shapes, partly thanks to the no need for an explicit description of the final shape. To assess the computational performances of the algorithm, we proposed a linear programming model of the shape-shifting problem giving the lower bounds of optimized criteria. The comparison of our results with those given by the relaxed linear programming proves the efficiency of our approach.
The Existential Search of the European Banking Authority

The European Banking Authority (EBA), an EU agency that works to ensure effective and consistent prudential regulation and supervision across the European banking sector as a whole, was established several years before the European Central Bank (ECB) became responsible for the prudential supervision of euro area banks. The ECB’s assumption of supervisory responsibilities has prompted searching questions about whether the EBA can continue to add value. The EBA could function as the bridge between the ECB and the supervisory authorities of the Member States that do not participate in European Banking Union and, as such, could help to preserve the integrity of the Single Market. This article locates the EBA’s prospects for success in this role more in its ability to manage co-existence than to direct the conduct of supervision. The inquiry is placed within lines of governance scholarship that have moved away from simple ‘command and control’ models to more complex frameworks. The inquiry is supported by detailed examination of the EBA’s performance in key areas, including rule-making, interpretation, and stress testing. Close study reveals that the EBA cannot be expected significantly to prove its value on the supervisory side through its use of formal intervention powers because these powers are an uneasy fit with its hybrid structure and governance arrangements. This finding does not mean that the EBA is incapacitated: rather, the fact that its effectiveness relies more on facilitation than on threats suggests that the EBA is actually well-equipped to make progress in its unifying role.
On the security of robust reference logo watermarking scheme in Fractional Fourier Transform domain

Rapid progression of Internet technology and related services has enhanced the simplicity of access to digital information through web, leading to the problem of associated copyright to be confined. The problem of rightful ownership has direct to giving the digital watermarking as an evident solution. The paper has been proposed to emphasize the security issues in new robust reference logo watermarking scheme in Fractional Fourier Transform domain. Recently Bhatnagar and Raman have provided a robust reference logo watermarking algorithm for digital images based on singular value decomposition. Through this paper we have enlighten the issue of false positive problem in reference watermarking algorithm. We have extracted a false watermark by using our proposed algorithm from the reference watermarking scheme in Fractional Fourier Transform domain. Mathematical analysis and experimental results has been used to support our conclusion.
A unified virtual fixture model for haptic telepresence systems based on streaming point cloud data and implicit surfaces

Haptic virtual fixtures have a key role in telepresence systems to enhance spatial perception as well as to improve task efficiency. However, there are some difficulties in bringing real and virtual constraints together due to the extremely different characteristics of their representations. This paper proposes a unified virtual fixture model for the telepresence systems to combine the autonomously obtained real-world obstacles with the manually defined virtual surfaces for preventing unpreferred motions. The real environment is scanned by an RGB-D camera in the form of a point cloud, and the implicit virtual surfaces are added to the task environment by an augmented reality technique. When the user interacts with the task environment through a haptic device, our method detects a collision between the proxy and the environmental constraints and estimates the local information of the contact point without reconstruction of surface topologies. Once collisions are detected, the optimal proxy position for resolving the collisions is computed by an integrated constraint solver in a convergent manner. The proposed model provides stable and faithful haptic feedback from the heterogeneous and unstructured geometric representations. We verified that our method is fast enough for real-time haptic rendering and renders the target geometries properly.
Reduced Training for Hierarchical Incremental Class Learning

Hierarchical incremental class learning (HICL), proposed by Guan and Li in 2002, is a recently proposed task decomposition method that addresses the pattern classification problem. HICL is proven to be a good classifier but closer examination reveals areas for potential improvement. This paper presents an approach to improve the classification accuracy of HICL by applying the concept of reduced pattern training (RPT). The procedure for RPT is described and compared with the original training procedure. RPT systematically reduces the size of the training data set based on the order of sub-networks built. The results from benchmark classification problems show much promise for the improved model
Venture Debt Financing: Determinants of the Lending Decision

We provide the first empirical evidence on the determinants of the lending decision of venture debt firms, specialized institutions that provide loans to finance growth of high-tech startups. Building on existing field interviews and case studies, we design a choice experiment of the lending decision and conduct experiments with 55 senior venture lenders. We find support for the hypothesis that backing by venture capital firms substitutes for startups’ cash flow. Furthermore, we illustrate the signaling effect of patents and their role as collateral to facilitate the lending decision.
Financial Deepening, Inequality, and Growth: A Model-Based Quantitative Evaluation

We propose a coherent unified approach to the study of the linkages among economic growth, financial structure, and inequality, bringing together disparate theoretical and empirical literature. That is, we show how to conduct model-based quantitative research on transitional paths. With analytical and numerical methods, we calibrate and make tractable a prototype canonical model and take it to an application, namely, Thailand 1976-1996, an emerging economy in a phase of economic expansion with uneven financial deepening and increasing inequality. We broadly replicate the actual data, test the model formally, and identify anomalies.
Dislocation Nucleation on Grain Boundaries: Low Angle Twist and Asymmetric Tilt Boundaries

We investigate the mechanisms of incipient plasticity at low angle twist and asymmetric tilt boundaries in fcc metals. To observe plasticity of grain boundaries independently of the bulk plasticity, we simulate nanoindentation of bicrystals. On the low angle twist boundaries, the intrinsic grain boundary (GB) dislocation network deforms under load until a dislocation segment compatible with glide on a lattice slip plane is created. The half loops are then emitted into the bulk of the crystal. Asymmetric twist boundaries considered here did not produce bulk dislocations under load. Instead, the boundary with a low excess volume nucleated a mobile GB dislocation and additional GB defects. The GB sliding proceeded by motion of the mobile GB dislocation. The boundary with a high excess volume sheared elastically, while bulk-nucleated dislocations produced plastic relaxation.
Examine the cognitive and affective antecedents to service recovery satisfaction: A field study of delayed airline passengers

Purpose – Drawing on consumer behavior and service marketing literature, the aim of this paper is to empirically examine how customers' justice judgment and consumption emotions affect customer relationships and their post consumption behaviors in a service recovery context.Design/methodology/approach – Structural equation modeling (SEM) was adopted to test the conceptual model, using a sample of nearly 600 delayed airline passengers.Findings – Perceived justice and consumption emotions are important elements affecting customers' evaluation of service recovery. The three dimensions of service recovery justice and customers' positive and negative emotions have direct or indirect influence on customers' satisfaction with service recovery (SSR), customer trust, and their repurchase intentions and word‐of‐mouth recommendations. Theoretical and managerial implications were drawn based on the findings.Originality/value – The current study sought to extend the existing literature by not only analyzing the effect.
Incremental Dependency Parsing

The paper introduces a dependency-based grammar and the associated parser and focusses on the problem of determinism in parsing and recovery from errors. First, it is shown how dependency-based parsing can be afforded, by taking into account the suggestions coming from other approaches, and the preference criteria for parsing are breifly addressed. Second, the issues of the interconnection between the syntactic analysis and the semantic interpretation in incremental processing are discussed and the adoption of a TMS for the recovery of the processing errors is suggested.
Nasal Dilators (Breathe Right Strips and NoZovent) for Snoring and OSA: A Systematic Review and Meta-Analysis

Objective. To systematically review the international literature for studies evaluating internal (NoZovent) and external (Breathe Right Strips) nasal dilators as treatment for obstructive sleep apnea (OSA). Study Design. Systematic review with meta-analysis. Methods. Four databases, including PubMed/MEDLINE, were searched through September 29, 2016. Results. One-hundred twelve studies were screened, fifty-eight studies were reviewed, and fourteen studies met criteria. In 147 patients, the apnea-hypopnea index (AHI) was reported, and there was an improvement from a mean ± standard deviation (M ± SD) of 28.7 ± 24.0 to 27.4 ± 23.3 events/hr, p value 0.64. There was no significant change in AHI, lowest oxygen saturation, or snoring index in OSA patients when using nasal dilators. However, a subanalysis demonstrated a slight reduction in apnea index (AI) with internal nasal dilators (decrease by 4.87 events/hr) versus minimal change for external nasal dilators (increase by 0.64 events/hr). Conclusion. Although nasal dilators have demonstrated improved nasal breathing, they have not shown improvement in obstructive sleep apnea outcomes, with the exception of mild improvement in apnea index when internal nasal dilators were used.
Energy- and Performance-Efficient Communication Framework for Embedded MPSoCs through Application-Driven Release Consistency

We present a framework for performance-, bandwidth-, and energy-efficient intercore communication in embedded MultiProcessor Systems-on-a-Chip (MPSoC). The methodology seamlessly integrates compiler, operating system, and hardware support to achieve a low-cost communication between synchronized producers and consumers. The technique is especially beneficial for data-streaming applications exploiting pipeline parallelism with computational phases mapped to separate cores. Code transformations utilizing a simple ISA support ensure that producer writes are propagated to consumers with a single interconnect transaction per cache block just prior to the producer exiting its synchronization region. Furthermore, in order to completely eliminate misses to shared data caused by interference with private data and also to minimize the cache energy, we integrate to the proposed framework a cache way partitioning policy based on a simple cache configurability support, which isolates the shared buffers from other cache traffic. This mechanism results in significant power savings since only a subset of the cache ways needs to be looked up for each cache access. The end result of the proposed framework is a single communication transaction per shared cache block between a producer and a consumer with no coherence misses on the consumer caches. Our experiments demonstrate significant reductions in interconnect traffic, cache misses, and energy for a set of multiprocessor benchmarks.
Quantum Theory of Self-Organization

Quantum theory of self-organization based on the idea that quantum jump serves as the basic step of self-organization, is represented. The notion of self and the identification of self as the fundamental statistical ensemble gives totally new meaning for the concept of selforganization as a generation of hierarchies of selves. Zero modes of the configuration space geometry, whose existence derives from the generalization of point like particle to 3-surface, provide universal, nonlocal order parameters and the emergence of the new level of self-organization occurs through phase transition like process as also in Haken’s theory. The fact that quantum jumps involve localization in zero modes means that the sequence of quantum jumps means hopping in zero modes characterizing the classical aspects of the spacetime geometry. The quantum version of Haken’s theory of self-organization is proposed and is almost identical with Haken’s theory. Spin glass analogy means that ”energy” landscape has fractal valleys inside valleys structure: this structure is important for understanding long term memories. A crucially important aspect of the quantum self-organization is the Darwinian selection of very few asymptotic self-organization pattterns by dissipation which explains the selection of both genes and memes: this selection provides royal road to the understanding of various miraculous feats performed by living matter. The comparison with Rupert Sheldrake’s concepts of morphic field and morphic resonance leads to interesting ideas about how learning at the level of species could occur quantum-mechanically. For instance, the phenomenon of biofeedback suggests that self could quite generally effectively act as morphic field for its subselves. If entanglement occurs mostly between subsystems having same value of p-adic prime one could understand the ”alike likes alike” rule of Sheldrake at the quantum level.
Spectral Efficiency of Multiple Access Fading Channels with Adaptive Interference Cancellation

Reliable estimation of users' channels and data in rapidly time varying fading environments is a very challenging task of multiuser detection (MUD) techniques that promise impressive capacity gains for interference limited systems such as non-orthogonal CDMA and spatial multiplexing MIMO based LTE. This paper analyzes relative channel estimation error performances of conventional single user and multiuser receivers for an uplink of DS-CDMA and shows their impact on output signal to interference and noise ratio (SINR) performances. Mean squared error (MSE) of channel estimation and achievable spectral efficiencies of these receivers obtained from the output SINR calculations are then compared with that achieved with new adaptive interference canceling receivers. It is shown that the adaptive receivers using successive (SIC) and parallel interference cancellation (PIC) methods offer much improved channel estimation and SINR performances, and hence significant increase in achievable sum date rates.
Lead to New Theorems ? continued on page 22 CAN BIOLOGY LEAD TO NEW THEOREMS ?

This article argues for an affirmative answer to the question in the title. In future interactions between mathematics and biology, both fields will contribute to each other, and, in particular, research in the life sciences will inspire new theorems in " pure " mathematics. This point is illustrated by a snapshot of four recent contributions from biology to geometry, combinatorics and algebra. Much has been written about the importance of mathematics for research in the life sciences in the 21st century. Universities are eager to start initiatives aimed at promoting the interaction between the two fields, and the federally funded mathematics institutes (AIM, IMA, IPAM, MBI, MSRI, SAMSI) are outdoing each other in offering programs and workshops at the interface of mathematics and the life sciences. The Clay Mathematics Institute has had its share of such programs. Yet, as these ubiquitous initiatives and programs unfold, many mathematicians remain unconvinced, and some secretly hope that this " biology fad " will simply go away soon. They have not seen any substantive impact of quantitative biology in their area of expertise, and they rightfully ask: where are the new theorems? In light of these persistent doubts, some long-term observers wonder whether anything has really changed in the twenty years since Gian-Carlo Rota wrote his widely quoted sentence, " The lack of real contact between mathematics and biology is either a tragedy, a scandal, or a challenge, it is hard to decide which " [16, page 2]. Of course, Rota was well aware of the long history of mathematics helping biology, such as the development of population genetics by Fisher, Hardy, Wright and others in the early 1900's. Nonetheless, Rota concluded that there was no " real contact ". But, quite recently, other voices have been heard. Some scholars have begun to argue that " real contact " means being equal partners, and that meaningful intellectual contributions can, in fact, flow in both directions. This optimistic vision is expressed succinctly in the title of J.E. Cohen's article [6]: " Mathematics is biology's next microscope, only better; biology is mathematics' next physics, only better ". Physics remains the gold standard for mathematicians, as there has been " real contact " and mutual respect over a considerable period of time. Historically, mathematics has made many contributions to physics, and in the last twenty years there has been a payback beyond expectations. Many of the most …
The Impact of Gartner’s Maturity Curve, Adoption Curve, Strategic Technologies on Information Systems Research, with Applications to Artificial Intelligence, ERP, BPM, and RFID

ABSTRACT: How does technology maturity and adoption affect samples, research issues, and use of methodologies in information systems? What is a source of some research issues in strategic and emerging technologies? This paper addresses these questions and others using some frameworks generated by a well-known corporate research group. Gartner Group has been an icon to its corporate clients. However, Gartner has received only limited attention by academics. This paper examines three related frameworks used by Gartner for analyzing information systems (IS) and accounting information systems (AIS) research. Although researchers have previously examined the adoption curve, they generally have ignored the impact of the technology maturity curve and the interaction of the two curves. The paper generates a number of findings, including the finding that where a technology is on the maturity curve limits and facilitates the type of research questions that can be addressed regarding that technology. In addition, Ga.