Miracle-dz/UniFAR-FTUs huggingface dataset:
3-Aircraft Formation Flight Experiment

This paper presents the results obtained from a formation flight experiment using 3 YF-22 research UAVs built and developed at West Virginia University. In the planned 3-aircraft flight configuration, a radio control (R/C) pilot maintains manual control of the `leader' aircraft while two autonomous `follower' aircraft maintain a pre-defined position and orientation with respect to the lead vehicle. The flight-testing program associated with this effort was quite substantial and involved approximately 100 sorties involving all three aircraft models in the program. Initial flight-testing phases evaluated a variety of issues, including; aircraft handling qualities, dynamic characteristics, electronic payload performance; specifically the data acquiring capabilities and the real time execution of control laws. During the final flight season program, a total of five formation flight experiments were successfully performed; specifically four 2-aircraft formations and one 3-aircraft formation flight demonstration
Closeness and distance dynamics in the therapeutic relationship.

Bowlby’s attachment theory provides a powerful lens to examine the therapeutic relationship in ways that are both empirically supported and clinically relevant (eagle & Wolitzky, 2009; Farber & metzger, 2009; mallinckrodt, 2010). Bowlby (1962, 1982) posited that individuals form internal working models of the self and others in close relationships based on their early experiences with caregivers. the therapeutic relationship is likely
Genome‐wide association analysis reveals distinct genetic architectures for single and combined stress responses in Arabidopsis thaliana

Summary Plants are commonly exposed to abiotic and biotic stresses. We used 350 Arabidopsis thaliana accessions grown under controlled conditions. We employed genome‐wide association analysis to investigate the genetic architecture and underlying loci involved in genetic variation in resistance to: two specialist insect herbivores, Pieris rapae and Plutella xylostella; and combinations of stresses, i.e. drought followed by P. rapae and infection by the fungal pathogen Botrytis cinerea followed by infestation by P. rapae. We found that genetic variation in resistance to combined stresses by drought plus P. rapae was limited compared with B. cinerea plus P. rapae or P. rapae alone. Resistance to the two caterpillars is controlled by different genetic components. There is limited overlap in the quantitative trait loci (QTLs) underlying resistance to combined stresses by drought plus P. rapae or B. cinerea plus P. rapae and P. rapae alone. Finally, several candidate genes involved in the biosynthesis of aliphatic glucosinolates and proteinase inhibitors were identified to be involved in resistance to P. rapae and P. xylostella, respectively. This study underlines the importance of investigating plant responses to combinations of stresses. The value of this approach for breeding plants for resistance to combinatorial stresses is discussed.
ASK: a kernel for programming actor systems

In this paper, ASK, a kernel for programming actor systems under MS-DOS operating system, is presented. The kernel was designed to define and test a set of primitives based on the actor programming model and suitable to be implemented on parallel systems with physically distributed memory. ASK makes it possible to develop and test highly concurrent programs and to analyze their run-time behavior.
Timing analysis of Ethernet AVB-based automotive E/E architectures

Due to ever-increasing bandwidth requirements of modern automotive applications, Ethernet AVB is becoming a standard high-speed bus in automotive E/E architectures. Since Ethernet AVB is tailored to audio and video entertainment, existing analysis approaches neglect the specific requirements and features of heterogeneous E/E architectures and their applications. This paper presents a timing analysis technique based on Real Time Calculus to consider Ethernet AVB in complex E/E architectures, reflecting key features such as static routing and stream reservation, fixed topology, and real-time applications. A comparison with a simulation on case studies from the automotive domain gives evidence that the proposed technique delivers valuable bounds for complete sensor-to-actuator chains, enabling automatic system synthesis and design space exploration approaches.
Making Sense of the ECG

making sense of the ecg What to say and what to do when mostly your friends love reading? Are you the one that don't have such hobby? So, it's important for you to start having that hobby. You know, reading is not the force. We're sure that reading will lead you to join in better concept of life. Reading will be a positive activity to do every time. And do you know our friends become fans of making sense of the ecg as the best book to read? Yeah, it's neither an obligation nor order. It is the referred book that will not make you feel disappointed.
Progressive Parametric Query Optimization

Commercial applications usually rely on pre-compiled parameterized procedures to interact with a database. Unfortunately, executing a procedure with a set of parameters different from those used at compilation time may be arbitrarily sub-optimal. Parametric query optimization (PQO) attempts to solve this problem by exhaustively determining the optimal plans at each point of the parameter space at compile time. However, PQO is likely not cost-effective if the query is executed infrequently or if it is executed with values only within a subset of the parameter space. In this paper we propose instead to progressively explore the parameter space and build a parametric plan during several executions of the same query. We introduce algorithms that, as parametric plans are populated, are able to frequently bypass the optimizer but still execute optimal or near-optimal plans.
A Comparison among Various Techniques to Prioritize the Requirements

In commercial software system development, software vendors often face the many difficulties to deal with large amount of requirements that enter the company every day. It is not possible to satisfy all the requirements in given constraint like time, cost, etc. hence there is a need to select the requirements that are more important. Requirements prioritization is a way that can play important role in the selection of requirements. Selecting the right order of requirements for product release depends on how successfully the requirements are prioritized. There are different requirement prioritization methods available with different characteristics. In this paper, we take a closer look of 9 different Requirement Prioritization techniques, namedas Fuzzy Analytical hierarchy process(FAHP), Classical Analytical hierarchy process(AHP), Hierarchy Analytical hierarchy process, minimal spanning tree, bubble sort, binary search tree, priority groups, planning game, and 100 point method. The Criteria used that are used for comparison are: required completion time, ease of use, reliability, and required number of comparison.
Consolidating the strategic alignment model in knowledge management

Recently, the importance of Information Technology (IT) for effective Knowledge Management (KM) activities has been stated. Effective KM projects alone cannot lead to success without the support of IT, and vice versa. Thus aligning proper IT and KM strategies to fit the business strategy is the key to reducing costs, which in turn leads to higher performance. Drawing on the concept of strategic alignment, we proposed a KM Strategic Alignment Model (KMSAM) wherein business strategy, KM strategy and IT strategy coexist. Furthermore, we contend that this strategic alignment may contribute to KM performance as well as business performance.
MRI image overlay: Application to arthrography needle insertion

Magnetic Resonance Imaging (MRI) offers great potential for planning, guiding, monitoring and controlling interventions. MR arthrography (MRAr) is the imaging gold standard for assessing small ligament and fibrocartilage injury in joints. In contemporary practice, MRAr consists of two consecutive sessions: (1) an interventional session where a needle is driven to the joint space and MR contrast is injected under fluoroscopy or CT guidance; and (2) a diagnostic MRI imaging session to visualize the distribution of contrast inside the joint space and evaluate the condition of the joint. Our approach to MRAr is to eliminate the separate radiologically guided needle insertion and contrast injection procedure by performing those tasks on conventional high-field closed MRI scanners. We propose a 2D augmented reality image overlay device to guide needle insertion procedures. This approach makes diagnostic high-field magnets available for interventions without a complex and expensive engineering entourage. In preclinical trials, needle insertions have been performed in the joints of porcine and human cadavers using MR image overlay guidance; in all cases, insertions successfully reached the joint space on the first attempt.
Examining the Lived Paradoxes of Women in Leadership in an Academic Culture.

This self-inquiry study, by two untenured women faculty in leadership roles, attempted to identify and analyze internalized oppressive thinking and behavioral responses to specific institutional situations using Senge's (1990) theory of structural archetypes in organizations to uncover patterns underlying the identified responses. Data included journaling; field notes; notes taken during narrative, interview, and analysis sessions; extensive reading notes and memos; and memos of conversational exchanges with university colleagues. Examples are given of scenarios, problem situations, unintended consequences, and analyses illustrating the following structural archetypes: (1) "fixes that fail," a fix, effective in the short term, has unforeseen long-term consequences; (2)"shifting the burden," a short-term solution with immediate positive results but resulting in decreasing use of more fundamental corrective measures; and (3)escalation, a competitive situation in which each side is led to act more aggressively to re-establish its advantage. The paper concludes that the process allowed the authors to recognize how patterns of victim behavior come from an insistence on returning to past perfectionist strategies. (Contains 41 references.) (DB) ******************************************************************************** * Reproductions supplied by EDRS are the best that can be made * * from the original document. * ********************************************************************************
Transient oxytocin signaling primes the development and function of excitatory hippocampal neurons

Beyond its role in parturition and lactation, oxytocin influences higher brain processes that control social behavior of mammals, and perturbed oxytocin signaling has been linked to the pathogenesis of several psychiatric disorders. However, it is still largely unknown how oxytocin exactly regulates neuronal function. We show that early, transient oxytocin exposure in vitro inhibits the development of hippocampal glutamatergic neurons, leading to reduced dendrite complexity, synapse density, and excitatory transmission, while sparing GABAergic neurons. Conversely, genetic elimination of oxytocin receptors increases the expression of protein components of excitatory synapses and excitatory synaptic transmission in vitro. In vivo, oxytocin-receptor-deficient hippocampal pyramidal neurons develop more complex dendrites, which leads to increased spine number and reduced γ-oscillations. These results indicate that oxytocin controls the development of hippocampal excitatory neurons and contributes to the maintenance of a physiological excitation/inhibition balance, whose disruption can cause neurobehavioral disturbances. DOI: http://dx.doi. org/10.7554/eLife.22466. 001
DA-GLRT burst detection and synchronization based on a chirp-like preamble

A specific preamble for the tasks of signal detection and synchronization in burst digital communications is presented. The preamble resembles a chirp signal used in RADAR applications. Its main benefit is that it allows the application of the Generalized Likelihood Ratio Test in an efficient manner, as well as the derivation of closed-form estimators for the synchronization parameters, as shown in the paper. The proposal can be an alternative to turbo-synchronization in very low Eb/N0 scenarios.
P2P Honeypot to Prevent Illegal or Harmful Contents From Spreading in P2P network

In this paper we propose the P2P Honeypot that prevents illegal or harmful files from spreading in P2P network. We apply the idea of Honeypot to P2P network. We build fake P2P service farms and monitor and trace users who spread or gain illegal or harmful files in P2P network. If we can apply this system widely, we can expect illegal or harmful files to be wiped out in P2P network.
Simulating the response of landcover changes to road paving and governance along a major Amazon highway : the Santarém – Cuiabá corridor

The spatial distribution of human activities in forest frontier regions is strongly influenced by transportation infrastructure. With the planned paving of 6000 km of highway in the Amazon Basin, agricultural frontier expansion will follow, triggering potentially large changes in the location and rate of deforestation. We developed a landcover change simulation model that is responsive to road paving and policy intervention scenarios for the BR-163 highway in central Amazonia. This corridor links the cities of Cuiabá, in central Brazil, and Santarém, on the southern margin of the Amazon River. It connects important soybean production regions and burgeoning population centers in Mato Grosso State with the international port of Santarém, but 1000 km of this road are still not paved. It is within this context that the Brazilian government has prioritized the paving of this road to turn it into a major soybean exportation facility. The model assesses the impacts of this road paving within four scenarios: two population scenarios (high and moderate growth) and two policy intervention scenarios. In the ‘business-asusual’ policy scenario, the responses of deforestation and land abandonment to road paving are estimated based on historical rates of Amazon regions that had a major road paved. In the ‘governance’ scenario, several plausible improvements in the enforcement of environmental regulations, support for sustainable land-use systems, and local institutional capacity are invoked to modify the historical rates. Model inputs include data collected during expeditions and through participatory mapping exercises conducted with agents from four major frontier types along the road. The model has two components. A scenario-generating submodel is coupled to a landscape dynamics simulator, ‘DINAMICA’, which spatially allocates the land-cover transitions using a GIS database. The model was run for 30 years, divided into annual time steps. It predicted more than twice as much deforestation along the corridor in business-as-usual vs. governance scenarios. The model demonstrates how field data gathered along a 1000 km corridor can be used to develop plausible scenarios of future land-cover change trajectories that are relevant to both global change science and the decision-making process of governments and civil society in an important rainforest region.
The role mining problem: A formal perspective

Devising a complete and correct set of roles has been recognized as one of the most important and challenging tasks in implementing role-based access control. A key problem related to this is the notion of goodness/interestingness—when is a role good/interesting? In this article, we define the Role Mining Problem (RMP) as the problem of discovering an optimal set of roles from existing user permissions. The main contribution of this article is to formally define RMP and analyze its theoretical bounds. In addition to the above basic RMP, we introduce two different variations of the RMP, called the Δ-Approx RMP and the minimal-noise RMP that have pragmatic implications. We reduce the known “Set Basis Problem” to RMP to show that RMP is an NP-complete problem. An important contribution of this article is also to show the relation of the RMP to several problems already identified in the data mining and data analysis literature. By showing that the RMP is in essence reducible to these known problems, we can directly borrow the existing implementation solutions and guide further research in this direction. We also develop a heuristic solution based on the previously proposed FastMiner algorithm, which is very accurate and efficient.
On clustering large number of data streams

Data streams and their applications appear in several fields such as physics, finance, medicine, environmental science, etc. As sensor technology improves, sensor data rates continue to increase. Consequently, analyzing data streams becomes ever more challenging. Fast online response is a must for applications that involve multiple data streams, especially when the number of data streams is large. This paper proposes an efficient clustering technique called Multi-way Grid-based join algorithm MG-join to find clusters in multiple data streams. The proposed algorithm uses a Discrete Fourier Transformation DFT to reduce the dimensionality of the streams. Each stream is represented by a point in a multi-dimensional grid in the frequency domain. The MG-join algorithm finds the different clusters in multiple data streams in the frequency domain. Moreover, this paper proposes an incremental update mechanism to avoid the recalculation of DFT coefficients when new readings arrive and thus minimizes the processing time. Experiments on synthetic data streams show that the proposed clustering technique is much faster than traditional clustering techniques and yet its accuracy is as good as that of the traditional clustering techniques. This makes the proposed technique suitable for sensors network environment where computing and power capabilities are limited.
A camera-based interface for interaction with mobile handheld computers

Recent advances in mobile computing allow the users to deal with 3D interactive graphics on handheld computers. Although the computing resources and screen resolutions grow steadily, user interfaces for handheld computers do not change significantly. Consequently, we designed a new 3-DOF interface adapted to the characteristics of handheld computers. This interface tracks the movement of a target that the user holds behind the screen by analyzing the video stream of the handheld computer camera. The position of the target is directly inferred from the color-codes that are printed on it using an efficient algorithm. The users can easily interact in real-time in a mobile setting. The visualization of the data is good as the target does not occlude the screen and the interaction techniques are not dependent on the orientation of the handheld computer. We used the interface in several test applications for the visualization of large images such as maps, the manipulation of 3D models, and the navigation in 3D scenes. This new interface favors the development of 2D and 3D interactive applications on handheld computers.
Rank correlation as illumination invariant descriptor for color object recognition

In this paper, we propose a compact illumination invariant color descriptor. Recent papers have shown that the rank measures of the pixels within a color image are invariant across illumination changes. We exploit this characteristic by measuring the rank correlation between different color components for pixels located at a particular distance from each other. This measure which takes into account both the color distribution and the spatial interactions between the pixels is stable across illumination changes. Furthermore, we show that 18 correlation measures are almost sufficient to discriminate 1000 objects and provide better results than classical invariant indexes which require much more memory space.
Multipath Routing, Congestion Control and Dynamic Load Balancing

Combining transport-layer congestion control with multi-path routing is a cross-layer approach that provides performance benefits over treating the layers separately. We phrase this as an optimisation problem, examine the case of data transfers, and show how a coordinated controller gives strictly better performance than an uncoordinated controller, which sets up parallel paths. For fixed demands, and the case of random-path selection, we show how coordinated control also achieves better load balancing than greedy least-loaded path selection. We then comment on adaptive path selection.
Classifying children's and adults' faces by bio-inspired features

Children are usually treated differently from adults in many computer vision applications. To classify children from adults by face images in a natural and non-intrusive way, a method using improved bio-inspired features (C1-S) is presented in this paper. To reduce the negative influence of individual differences, active shape model (ASM) is used to extract 58 landmarks for face normalization. Motivated by quantitative model of visual cortex, we proposed C1-S features to represent each face. The features output from C1 units consider not only the points defined by grid size but also the points defined by ASM fitting results. By adding shape features, C1-S features have better performance in SVM classification. Experiment results show that our method provides good classification accuracy and can be used for home video surveillance and parental control.
The Globalization Paradox: Democracy and the Future of the World Economy

From the mercantile monopolies of seventeenth-century empires to the modern-day authority of the WTO, IMF, and World Bank, the nations of the world have struggled to effectively harness globalization's promise. The economic narratives that underpinned these eras-the gold standard, the Bretton Woods regime, the "Washington Consensus"-brought great success and great failure. In this eloquent challenge to the reigning wisdom on globalization, Dani Rodrik offers a new narrative, one that embraces an ineluctable tension: we cannot simultaneously pursue democracy, national self-determination, and economic globalization. When the social arrangements of democracies inevitably clash with the international demands of globalization, national priorities should take precedence. Combining history with insight, humor with good-natured critique, Rodrik's case for a customizable globalization supported by a light frame of international rules shows the way to a balanced prosperity as we confront today's global challenges in trade, finance, and labor markets.