nils-herrmann/clean_scirepeval huggingface dataset:
On-demand power management for ad hoc networks

Battery power is an important resource in ad hoc networks. It has been observed that in ad hoc networks, energy consumption does not reflect the communication activities in the network. Many existing energy conservation protocols based on electing a routing backbone for global connectivity are oblivious to traffic characteristics. In this paper, we propose an extensible on-demand power management framework for ad hoc networks that adapts to traffic load. Nodes maintain soft-state timers that determine power management transitions. By monitoring routing control messages and data transmission, these timers are set and refreshed on-demand. Nodes that are not involved in data delivery may go to sleep as supported by the MAC protocol. This soft state is aggregated across multiple flows and its maintenance requires no additional out-of-band messages. We implement a prototype of our framework in the ns-2 simulator that uses the IEEE 802.11 MAC protocol. Simulation studies using our scheme with the Dynamic Source Routing protocol show a reduction in energy consumption near 50% when compared to a network without power management under both long-lived CBR traffic and on-off traffic loads, with comparable throughput and latency. Preliminary results also show that it outperforms existing routing backbone election approaches.
Language and motor mapping during resection of brain arteriovenous malformations: indications, feasibility, and utility.

Microsurgical resection of arteriovenous malformations (AVMs) located in the language and motor cortex is associated with the risk of neurological deterioration, yet electrocortical stimulation mapping has not been widely used.



To demonstrate the usefulness of intraoperative mapping with language/motor AVMs.



During an 11-year period, mapping was used in 12 of 431 patients (2.8%) undergoing AVM resection (5 patients with language and 7 patients with motor AVMs). Language mapping was performed under awake anesthesia and motor mapping under general anesthesia.



Identification of a functional cortex enabled its preservation in 11 patients (92%), guided dissection through overlying sulci down to the nidus in 3 patients (25%), and influenced the extent of resection in 4 patients (33%). Eight patients (67%) had complete resections. Four patients (33%) had incomplete resections, with circumferentially dissected and subtotally disconnected AVMs left in situ, attached to areas of eloquence and with preserved venous drainage. All were subsequently treated with radiosurgery. At follow-up, 6 patients recovered completely, 3 patients were neurologically improved, and 3 patients had new neurological deficits.



Indications for intraoperative mapping include preoperative functional imaging that identifies the language/motor cortex adjacent to the AVM; larger AVMs with higher Spetzler-Martin grades; and patients presenting with unruptured AVMs without deficits. Mapping identified the functional cortex, promoted careful tissue handling, and preserved function. Mapping may guide dissection to AVMs beneath the cortical surface, and it may impact the decision to resect the AVM completely. More conservative, subtotal circumdissections followed by radiosurgery may be an alternative to observation or radiosurgery alone in patients with larger language/motor cortex AVMs.
The backtracking survey propagation algorithm for solving random K-SAT problems

Discrete combinatorial optimization has a central role in many scientific disciplines, however, for hard problems we lack linear time algorithms that would allow us to solve very large instances. Moreover, it is still unclear what are the key features that make a discrete combinatorial optimization problem hard to solve. Here we study random K-satisfiability problems with K=3,4, which are known to be very hard close to the SAT-UNSAT threshold, where problems stop having solutions. We show that the backtracking survey propagation algorithm, in a time practically linear in the problem size, is able to find solutions very close to the threshold, in a region unreachable by any other algorithm. All solutions found have no frozen variables, thus supporting the conjecture that only unfrozen solutions can be found in linear time, and that a problem becomes impossible to solve in linear time when all solutions contain frozen variables.
A Numerical Tool for the Investigation of Cavitating Flows in Turbopump Inducers

A numerical tool for the simulation of cavitating flows is presented in this paper. The numerical model is based on the 2D Euler/Navier-Stokes equations with a barotropic state law, which are solved in body fitted coordinates using a robust spatial and temporal differencing scheme. The model has been validated comparing numerical and experimental results on ogival and hemispherical axisymmetric head forms at different cavitation numbers. Simulations of the flow around a NACA0015 airfoil have also been successfully performed. Then, 2D simulations of the blade-to-blade flow at a fixed radial position of a 9° Helical Inducer have been carried out at various cavitation numbers. Water has been assumed as the working fluid. Cavitating regions of increasing size have been computed, until the cavitation bubble covers the entire blade profile; a good agreement is observed between the computed cavitation number and the values obtained both experimentally and through an empirical correlation for the case at which choked conditions are attained. Nomenclature a = speed of sound d = inducer axial length K = cavitation index L = generic location p = pressure p T = total pressure ∆P' max = maximum value of pressure correction R = inducer radius x,y = space coordinates u = relative x-velocity component v = relative y-velocity component V = absolute velocity vector W = relative velocity vector Greek α = incidence angle, void fraction β = flow angle β b = blade angle φ = flow coefficient Φ = general variable µ = viscosity ξ = arbitrary number >1 ρ = density σ = cavitation number ω Φ = under-relaxation factor Ω = rotational speed Subscripts l = liquid; pure liquid in the barotropic two-phase representation g = gas; pure vapor in the barotropic two-phase representation H = hub r = radial ref = reference condition s = saturation T = tip v = vapor ∞ = free stream 1 = inlet 2 = outlet
Passive IP traceback: capturing the origin of anonymous traffic through network telescopes

IP traceback can be used to find the origin of anonymous traffic; however, Internet-scale IP traceback systems have not been deployed due to a need for cooperation between Internet Service Providers (ISPs). This article presents an Internet-scale Passive IP Trackback (PIT) mechanism that does not require ISP deployment. PIT analyzes the ICMP messages that may scattered to a network telescope as spoofed packets travel from attacker to victim. An Internet route model is then used to help re-construct the attack path. Applying this mechanism to data collected by Cooperative Association for Internet Data Analysis (CAIDA), we found PIT can construct a trace tree from at least one intermediate router in 55.4% the fiercest packet spoofing attacks, and can construct a tree from at least 10 routers in 23.4% of attacks. This initial result shows PIT is a promising mechanism.
The effects of lottery prizes on winners and their neighbors : Evidence from the Dutch Postcode Lottery

The Effects of Lottery Prizes on Winners and their Neighbors: Evidence from the Dutch Postcode Lottery Each week, the Dutch Postcode Lottery (PCL) randomly selects a postal code, and distributes cash and a new BMW to lottery participants in that code. We study the effects of these shocks on lottery winners and their neighbors. Consistent with the life-cycle hypothesis, the effects on winners’ consumption are largely confined to cars and other durables. Consistent with the theory of in-kind transfers, the vast majority of BMW winners liquidate their BMWs. We do, however, detect substantial social effects of lottery winnings: PCL nonparticipants who live next door to winners have significantly higher levels of car consumption than other nonparticipants.
Noise-Presence-Probability-Based Noise PSD Estimation by Using DNNs

A noise power spectral density (PSD) estimation is an indispensable component of speech spectral enhancement systems. In this paper we present a noise PSD tracking algorithm, which employs a noise presence probability estimate delivered by a deep neural network (DNN). The algorithm provides a causal noise PSD estimate and can thus be used in speech enhancement systems for communication purposes. An extensive performance comparison has been carried out with ten causal state-of-the-art noise tracking algorithms taken from the literature and categorized acc. to applied techniques. The experiments showed that the proposed DNN-based noise PSD tracker outperforms all competing methods with respect to all tested performance measures, which include the noise tracking performance and the performance of a speech enhancement system employing the noise tracking component.
Associations between homocysteine metabolism related SNPs and carotid intima-media thickness: a Chinese sib pair study

Carotid intima-media thickness (CIMT) is a good surrogate for atherosclerosis. Hyperhomocysteinemia is an independent risk factor for cardiovascular diseases. We aim to investigate the relationships between homocysteine (Hcy) related biochemical indexes and CIMT, the associations between Hcy related SNPs and CIMT, as well as the potential gene–gene interactions. The present study recruited full siblings (186 eligible families with 424 individuals) with no history of cardiovascular events from a rural area of Beijing. We examined CIMT, intima-media thickness for common carotid artery (CCA-IMT) and carotid bifurcation, tested plasma levels for Hcy, vitamin B6 (VB6), vitamin B12 (VB12) and folic acid (FA), and genotyped 9 SNPs on MTHFR, MTR, MTRR, BHMT, SHMT1, CBS genes. Associations between SNPs and biochemical indexes and CIMT indexes were analyzed using family-based association test analysis. We used multi-level mixed-effects regression model to verify SNP-CIMT associations and to explore the potential gene–gene interactions. VB6, VB12 and FA were negatively correlated with CIMT indexes (p < 0.05). rs2851391 T allele was associated with decreased plasma VB12 levels (p = 0.036). In FABT, CBS rs2851391 was significantly associated with CCA-IMT (p = 0.021) and CIMT (p = 0.019). In multi-level mixed-effects regression model, CBS rs2851391 was positively significantly associated with CCA-IMT (Coef = 0.032, se = 0.009, raw p < 0.001) after Bonferoni correction (corrected α = 0.0056). Gene–gene interactions were found between CBS rs2851391 and BHMT rs10037045 for CCA-IMT (p = 0.011), as well as between CBS rs2851391 and MTR rs1805087 for CCA-IMT (p = 0.007) and CIMT (p = 0.022). Significant associations are found between Hcy metabolism related genetic polymorphisms, biochemical indexes and CIMT indexes. There are complex interactions between genetic polymorphisms for CCA-IMT and CIMT.
A Novel Approach for Phishing Website Detection using Hybrid Technique of Rule Mining and SVM

With the quickly increase development of website and web application, internet user utilize that benefits. They make their all day to day daily life activity like reading a newspaper, online shopping, online payment etc. Hence the chances of the users to get caught in the web threat its called phishing attack. There for the phishing detection is necessary. There is no conclusive solution to detect phishing. In this paper we present novel technique to detect phishing attack and compare with the other existing technique. Our proposed framework work on combine algorithm of rule mining and SVM.
Beyond g : Putting multiple intelligences theory to the test

We investigated Gardner's “Theory of Multiple Intelligences” in a sample of 200 adults. For each of the hypothesized eight “intelligence” domains–Linguistic, Logical/Mathematical, Spatial, Interpersonal, Intrapersonal, Musical, Bodily-Kinesthetic, Naturalistic–we selected two tests based on Gardner's description of its content. Factor analysis revealed a large g factor having substantial loadings for tests assessing purely cognitive abilities–Linguistic, Logical/Mathematical, Spatial, Naturalistic, Interpersonal–but lower loadings for tests of other abilities, especially Bodily-Kinesthetic. Within most domains, the two tests showed some (weak) non-g associations, thus providing modest support for the coherence of those domains, which resemble the group factors of hierarchical models of intelligence. Results support previous findings that highly diverse tests of purely cognitive abilities share strong loadings on a factor of general intelligence, and that abilities involving sensory, motor, or personality influences are less strongly g-loaded.
Seeing Beyond Occlusions (and other marvels of a finite lens aperture)

We present a novel algorithm to reconstruct the geometry and photometry of a scene with occlusions from a collection of defocused images. The presence of a finite lens aperture allows us to recover portions of the scene that would be occluded in a pin-hole projection, thus “uncovering” the occlusion. We estimate the shape of each object (a surface, including the occluding boundaries), and its radiance (a positive function defined on the surface, including portions that are occluded by other objects).
Advantages of Geometric Algebra Over Complex Numbers in the Analysis of Networks With Nonsinusoidal Sources and Linear Loads

An alternative circuit analysis technique is used to study networks with nonsinusoidal sources and linear loads. In contrast to the technique developed by Steinmetz, this method is supported by geometric algebra instead of the algebra of complex numbers, uses multivectors in place of phasors and is performed in the GN domain instead of the frequency domain. The advantages of this method over the present technique involve: determining the flow of current and power quantities in the circuit, validating the results using the principle of conservation of energy, discerning and revealing other forms of reactive power generation, and the ability to design compensators with great flexibility. The power equation is composed of the active power and the CN -power representing the nonactive power. All the CN-power terms are sorted into reactive power terms due to phase shift, reactive power terms due to harmonic interactions and degrading power terms which determine the new quantity called degrading power. This decomposition shows that estimating these quantities is intricate. It also displays the power equation's functionality for power factor improvement. The geometric addition of power quantities is not pre-established but results from applying the established norm and yields the new quantity called net apparent power.
The impact of sample non-normality on ANOVA and alternative methods.

In this journal, Zimmerman (2004, 2011) has discussed preliminary tests that researchers often use to choose an appropriate method for comparing locations when the assumption of normality is doubtful. The conceptual problem with this approach is that such a two-stage process makes both the power and the significance of the entire procedure uncertain, as type I and type II errors are possible at both stages. A type I error at the first stage, for example, will obviously increase the probability of a type II error at the second stage. Based on the idea of Schmider et al. (2010), which proposes that simulated sets of sample data be ranked with respect to their degree of normality, this paper investigates the relationship between population non-normality and sample non-normality with respect to the performance of the ANOVA, Brown-Forsythe test, Welch test, and Kruskal-Wallis test when used with different distributions, sample sizes, and effect sizes. The overall conclusion is that the Kruskal-Wallis test is considerably less sensitive to the degree of sample normality when populations are distinctly non-normal and should therefore be the primary tool used to compare locations when it is known that populations are not at least approximately normal.
An Empirical Taxonomy of Crowdfunding Intermediaries Completed Research Paper

Due to the recent popularity of crowdfunding, a broad magnitude of crowdfunding intermediaries has emerged, while research on crowdfunding intermediaries has been largely neglected. As a consequence, existing classifications of crowdfunding intermediaries are conceptual, lack theoretical grounding, and are not empirically validated. Thus, we develop an empirical taxonomy of crowdfunding intermediaries, which is grounded in the theories of two-sided markets and financial intermediation. Integrating these theories, we develop a crowdfunding intermediation model that we use as foundation for performing cluster analysis with data of 127 intermediaries. We identify three generic archetypes of crowdfunding intermediaries, which differ in their value proposition: Hedonism, Altruism, and For Profit. Our crowdfunding intermediation model and our empirical taxonomy improve our understanding of crowdfunding by showing how crowdfunding intermediaries manage financial intermediation and digitally transform exchange relations between capital-giving and seeking agents in two-sided online markets. For practice, our research may help characterize the crowdfunding industry.
Market Timing and Capital Structure

It is well known that firms are more likely to issue equity when their market values are high, relative to book and past market values, and to repurchase equity when their market values are low. We document that the resulting effects on capital structure are very persistent. As a consequence, current capital structure is strongly related to historical market values. The results suggest the theory that capital structure is the cumulative outcome of past attempts to time the equity market. IN CORPORATE FINANCE, “equity market timing” refers to the practice of issuing shares at high prices and repurchasing at low prices. The intention is to exploit temporary f luctuations in the cost of equity relative to the cost of other forms of capital. In the efficient and integrated capital markets studied by Modigliani and Miller ~1958!, the costs of different forms of capital do not vary independently, so there is no gain from opportunistically switching between equity and debt. In capital markets that are inefficient or segmented, by contrast, market timing benefits ongoing shareholders at the expense of entering and exiting ones. Managers thus have incentives to time the market if they think it is possible and if they care more about ongoing shareholders. In practice, equity market timing appears to be an important aspect of real corporate financial policy. There is evidence for market timing in four different kinds of studies. First, analyses of actual financing decisions show that firms tend to issue equity instead of debt when market value is high, relative to book value and past market values, and tend to repurchase equity when market value is low.1 Second, analyses of long-run stock returns fol* Baker is from the Harvard University Graduate School of Business Administration. Wurgler is from the New York University Stern School of Business. We thank Arturo Bris, John Campbell, Paul Gompers, Roger Ibbotson, Andrew Roper, Geert Rouwenhorst, Geoff Verter, Ralph Walkling, participants of seminars at Columbia, Cornell, Duke, Harvard, INSEAD, MIT, Northwestern, NYU, Rutgers, Stanford, University of Chicago, University of North Carolina at Chapel Hill, University of Notre Dame, Wharton, and Yale, and especially Richard Green, Andrei Shleifer, Jeremy Stein, Ivo Welch, and an anonymous referee for helpful comments. We thank John Graham and Jay Ritter for data and Alok Kumar for research assistance. Baker gratefully acknowledges the financial support of the Division of Research of the Harvard Graduate School of Business Administration. 1 Seasoned equity issues coincide with high valuations in Taggart ~1977!, Marsh ~1982!, Asquith and Mullins ~1986!, Korajczyk, Lucas, and McDonald ~1991!, Jung, Kim, and Stulz ~1996!, and Hovakimian, Opler, and Titman ~2001!. Initial public equity issues coincide with high valuations in Loughran, Ritter, and Rydqvist ~1994! and Pagano, Panetta, and Zingales ~1998!. Repurchases coincide with low valuations in Ikenberry, Lakonishok, and Vermaelen ~1995!. THE JOURNAL OF FINANCE • VOL. LVII, NO. 1 • FEB.
Software debugging, testing, and verification

In the commercial software development organizations, increased complexity of products, shortened development cycles and higher customer expectations of quality have placed a major responsibility on the areas of software debugging, testing, and verification. As this issue of the IBM Systems Journal illustrates, the technology is improving on all the three fronts. However, we observe that due to the informal nature of software development as a whole, the prevalent practices in the industry are still quite immature even in areas where there is existing technology. In addition, the technology and tools in the more advanced aspects are really not ready for a large scale commercial use.
DEFINING NOSTALGIA AND ITS FUNCTIONS

Nostalgia is a psychological phenomenon we all can relate to but have a hard time to define. What characterizes the mental state of feeling nostalgia? What psychological function does it serve? Different published materials in a wide range of fields, from consumption research and sport science to clinical psychology, psychoanalysis and sociology, all have slightly different definition of this mental experience. Some claim it is a psychiatric disease giving melancholic emotions to a memory you would consider a happy one, while others state it enforces positivity in our mood. First in this paper a thorough review of the history of nostalgia is presented, then a look at the body of contemporary nostalgia research to see what it could be constituted of. Finally, we want to dig even deeper to see what is suggested by the literature in terms of triggers and functions. Some say that digitally recorded material like music and videos has a potential nostalgic component, which could trigger a reflection of the past in ways that was difficult before such inventions. Hinting towards that nostalgia as a cultural phenomenon is on a rising scene. Some authors say that odors have the strongest impact on nostalgic reverie due to activating it without too much cognitive appraisal. Cognitive neuropsychology has shed new light on a lot of human psychological phenomena‘s and even though empirical testing have been scarce in this field, it should get a fair scrutiny within this perspective as well and hopefully helping to clarify the definition of the word to ease future investigations, both scientifically speaking and in laymen‘s retro hysteria.
Design and feedback control of a biologically-inspired miniature quadruped

Insect-scale legged robots have the potential to locomote on rough terrain, crawl through confined spaces, and scale vertical and inverted surfaces. However, small scale implies that such robots are unable to carry large payloads. Limited payload capacity forces miniature robots to utilize simple control methods that can be implemented on a simple onboard microprocessor. In this study, the design of a new version of the biologically-inspired Harvard Ambulatory MicroRobot (HAMR) is presented. In order to find the most suitable control inputs for HAMR, maneuverability experiments are conducted for several drive parameters. Ideal input candidates for orientation and lateral velocity control are identified as a result of the maneuverability experiments. Using these control inputs, two simple feedback controllers are implemented to control the orientation and the lateral velocity of the robot. The controllers are used to force the robot to track trajectories with a minimum turning radius of 55 mm and a maximum lateral to normal velocity ratio of 0.8. Due to their simplicity, the controllers presented in this work are ideal for implementation with on-board computation for future HAMR prototypes.