nils-herrmann/clean_scirepeval huggingface dataset:
Genetic algorithms and the art of Zen

In this paper we present a novel genetic algorithm (GA) solution to a simple yet challenging commercial puzzle game known as Zen Puzzle Garden (ZPG). We describe the game in detail, before presenting a suitable encoding scheme and fitness function for candidate solutions. We then compare the performance of the genetic algorithm with that of the A* algorithm. Our results show that the GA is competitive with informed search in terms of solution quality, and significantly out-performs it in terms of computational resource requirements. We conclude with a brief discussion of the implications of our findings for game solving and other “real world” problems.
Preparing to work in the virtual organization

Forming virtual organizations (VOs) is a new workplace strategy that is also needed to prepare information, technology, and knowledge workers for functioning well in inter-organizational teams. University information studies programs can simulate VOs in courses and teach certain skill sets that are needed in VO work: critical thinking, analytical methods, ethical problem solving, stakeholder analysis, and writing policy are among the needed skills and abilities. Simulated virtual teams allow participants to learn to trust team members and to understand how communication and product development can work effectively in a virtual workspace. It is hoped that some of these methods could be employed in corporate training programs also. In an innovative course, inter-university VOs were created to develop information products. Groups in four geographically dispersed universities cooperated in the project; at its conclusion, students answered a self-administered survey about their experience. Each team's success or dif®culties were apparently closely related to issues of trust in the team process. Access to and ease of communication tools also played a role in the participants' perceptions of the learning experience and teamwork.
BioPerf: a benchmark suite to evaluate high-performance computer architecture on bioinformatics applications

The exponential growth in the amount of genomic data has spurred growing interest in large scale analysis of genetic information. Bioinformatics applications, which explore computational methods to allow researchers to sift through the massive biological data and extract useful information, are becoming increasingly important computer workloads. This paper presents BioPerf a benchmark suite of representative bioinformatics applications to facilitate the design and evaluation of high-performance computer architectures for these emerging workloads. Currently, the BioPerf suite contains codes from 10 highly popular bioinformatics packages and covers the major fields of study in computational biology such as sequence comparison, phylogenetic reconstruction, protein structure prediction, and sequence homology & gene finding. We demonstrate the use of BioPerf by providing simulation points of pre-compiled Alpha binaries and with a performance study on IBM Power using IBM Mambo simulations cross-compared with Apple G5 executions. The BioPerf suite (available from www.bioperf.org) includes benchmark source code, input datasets of various sizes, and information for compiling and using the benchmarks. Our benchmark suite includes parallel codes where available.
Royal Australian and New Zealand College of Psychiatrists clinical practice guideline for the management of deliberate self-harm.

To provide guidance for the organisation and delivery of clinical services and the clinical management of patients who deliberately self-harm, based on scientific evidence supplemented by expert clinical consensus and expressed as recommendations.



Articles and information were sourced from search engines including PubMed, EMBASE, MEDLINE and PsycINFO for several systematic reviews, which were supplemented by literature known to the deliberate self-harm working group, and from published systematic reviews and guidelines for deliberate self-harm. Information was reviewed by members of the deliberate self-harm working group, and findings were then formulated into consensus-based recommendations and clinical guidance. The guidelines were subjected to successive consultation and external review involving expert and clinical advisors, the public, key stakeholders, professional bodies and specialist groups with interest and expertise in deliberate self-harm.



The Royal Australian and New Zealand College of Psychiatrists clinical practice guidelines for deliberate self-harm provide up-to-date guidance and advice regarding the management of deliberate self-harm patients, which is informed by evidence and clinical experience. The clinical practice guidelines for deliberate self-harm is intended for clinical use and service development by psychiatrists, psychologists, physicians and others with an interest in mental health care.



The clinical practice guidelines for deliberate self-harm address self-harm within specific population sub-groups and provide up-to-date recommendations and guidance within an evidence-based framework, supplemented by expert clinical consensus.
On the use of probabilistic relational affordance models for sequential manipulation tasks in robotics

In this paper we employ probabilistic relational affordance models in a robotic manipulation task. Such affordance models capture the interdependencies between properties of multiple objects, executed actions, and effects of those actions on objects. Recently it was shown how to learn such models from observed video demonstrations of actions manipulating several objects. This paper extends that work and employs those models for sequential tasks. Our approach consists of two parts. First, we employ affordance models sequentially in order to recognize the individual actions making up a demonstrated sequential skill or high level concept. Second, we utilize the models of concepts to plan a suitable course of action to replicate the observed consequences of a demonstration. For this we adopt the framework of relational Markov decision processes. Empirical results show the viability of the affordance models for sequential manipulation skills for object placement.
A survey on trust management for intelligent transportation system

Trust management is a fundamental and critical aspect of any serious application in ITS. However, only a few studies have addressed this important problem. In this paper, we present a survey on trust management for ITS. We first describe the properties of trust, trust metrics and potential attacks against trust management schemes. Existing related works are then reviewed based on the way in which trust management is implemented. Along with the review, we also identify some open research questions for future work, and consequently present a novel idea of trust management implementation.
Scalable convex methods for phase retrieval

This paper describes scalable convex optimization methods for phase retrieval. The main characteristics of these methods are the cheap per-iteration complexity and the low-memory footprint. With a variant of the original PhaseLift formulation, we first illustrate how to leverage the scalable Frank-Wolfe (FW) method (also known as the conditional gradient algorithm), which requires a tuning parameter. We demonstrate that we can estimate the tuning parameter of the FW algorithm directly from the measurements, with rigorous theoretical guarantees. We then illustrate numerically that recent advances in universal primal-dual convex optimization methods offer significant scalability improvements over the FW method, by recovering full HD resolution color images from their quadratic measurements.
The dependent personality: developmental, social, and clinical perspectives.

Developmental, social, and clinical studies of dependency have produced remarkably consistent results. A review and integration of these findings allow strong conclusions to be drawn regarding the etiology and dynamics of dependency. The etiology of dependency appears to lie in overprotective, authoritarian parenting. In social settings, dependency is associated with suggestibility, conformity, compliance, interpersonal yielding, affiliative behavior, and sensitivity to interpersonal cues. Dependency predicts the onset of certain psychological disorders and follows the onset of others. It seems that the fundamental motivation of the dependent person, from which the behaviors that are exhibited in different situations are derived, is a strong desire to obtain and maintain nurturant, supportive relationships. Implications of these findings for different theoretical models of dependency are discussed.
Baseband-pulse-antenna techniques

Frequency-domain concepts and terminology are commonly used to describe antennas. These are very satisfactory for a CW or narrowband application. However, their validity is questionable for an instantaneous wideband excitation. Time-domain and/or wideband analyses can provide more insight and more effective terminology. Two approaches for this time-domain analysis have been described. The more complete one uses the transfer function, a function which describes the amplitude and phase of the response over the entire frequency spectrum. While this is useful for evaluating the overall response of a system, it may not be practical when trying to characterize an antenna's performance, and trying to compare it with that of other antennas. A more convenient and descriptive approach uses time-domain parameters, such as efficiency, energy pattern, receiving area, etc., with the constraint that the reference or excitation signal is known. The utility of both approaches, for describing the time-domain performance, was demonstrated for antennas which are both small and large, in comparison to the length of the reference signal. The approaches have also been used for other antennas, such as arrays, where they also could be applied to measure the effects of mutual impedance, for a wide-bandwidth signal. The time-domain ground-plane antenna range, on which these measurements were made, is suitable for symmetric antennas. However, the approach can be readily adapted to asymmetric antennas, without a ground plane, by using suitable reference antennas.<<ETX>>
Are Consumers Strategic? Structural Estimation from the Air-Travel Industry

Consumers often consider delaying a purchase strategically, anticipating that prices might decrease. Combining two unique data sources from the air-travel industry (posted fare data and booking data), we use a structural model to estimate the fraction of strategic consumers in the population, assuming different levels of sophistication in consumers' perception of future prices: perfect foresight and weakand strong-form rational expectations. We find that 5.2% to 19.2% of the population is strategic across markets, measured by the first and third quartiles. Our intermarket analysis indicates that shorter trips with more attractive outside options are populated with more strategic consumers. Using a nonparametric approach, we further find that most strategic consumers arrive either at the beginning of the booking horizon or close to departure. Finally, our counterfactual analysis shows that, contrary to conventional wisdom, the presence of strategic consumers does not necessarily hurt revenues. Rather, the impact varies by market. Commitment to a nondecreasing pricing strategy is more likely to benefit business markets than leisure markets, or it could even hurt leisure markets. Intermarket analysis shows that city pairs with lower Internet penetration, higher average price, and shorter distances tend to benefit more from such commitment as well.
SGDLibrary: A MATLAB library for stochastic gradient descent algorithms

We consider the problem of finding the minimizer of a function f : R → R of the finite-sum form min f(w) = 1/n ∑n i fi(w). This problem has been studied intensively in recent years in the field of machine learning (ML). One promising approach for large-scale data is to use a stochastic optimization algorithm to solve the problem. SGDLibrary is a readable, flexible and extensible pure-MATLAB library of a collection of stochastic optimization algorithms. The purpose of the library is to provide researchers and implementers a comprehensive evaluation environment for the use of these algorithms on various ML problems.  A MATLAB library for stochastic gradient optimization algorithms”
Advanced partitioning techniques for massively distributed computation

An increasing number of companies rely on distributed data storage and processing over large clusters of commodity machines for critical business decisions. Although plain MapReduce systems provide several benefits, they carry certain limitations that impact developer productivity and optimization opportunities. Higher level programming languages plus conceptual data models have recently emerged to address such limitations. These languages offer a single machine programming abstraction and are able to perform sophisticated query optimization and apply efficient execution strategies. In massively distributed computation, data shuffling is typically the most expensive operation and can lead to serious performance bottlenecks if not done properly. An important optimization opportunity in this environment is that of judicious placement of repartitioning operators and choice of alternative implementations. In this paper we discuss advanced partitioning strategies, their implementation, and how they are integrated in the Microsoft Scope system. We show experimentally that our approach significantly improves performance for a large class of real-world jobs.
Small is Beautiful : Preferential Trade Agreements and The Impact of Country Size , Market Share , Efficiency and Trade Policy

1668 The smaller the volume (or share) of imports from the trading partner, the larger the impact of a preferential trade agreement on home country welfare—because the smaller the imports, the smaller the loss in tariff revenue. And the home country is better off as a small member of a large bloc than as a large member of a small bloc.  There has been a resurgence of preferential trade agreements (PTAs) partly because of the deeper European integration known as EC-92, which led to a fear of a Fortress Europe; and partly because of the U.S. decision to form a PTA with Canada. As a result, there has been a domino effect: a proliferation of PTAs, which has led to renewed debate about how PTAs affect both welfare and the multilateral system. Schiff examines two issues: the welfare impact of preferential trade agreements (PTAs) and the effect of structural and policy changes on PTAs. He asks how the PTA's effect on home-country welfare is affected by higher demand for imports; the efficiency of production of the partner or rest of the world (ROW); the share imported from the partner (ROW); and the initial protection on imports from the partner (ROW). Among his findings: • An individual country benefits more from a PTA if it imports less from its partner countries (with imports measured either in volume or as a share of total imports). This result has important implications for choice of partners. • A small home country loses from forming a free trade agreement (FTA) with a small partner country but gains from forming one with the rest of the world. In other words, the home country is better off as a small member of a large bloc than as a large member of a small bloc. This result need not hold if smuggling is a factor. • Home country welfare after formation of a FTA is higher when imports from the partner country are smaller, whether the partner country is large or small. Welfare worsens as imports from the partner country increase. • In general, a PTA is more beneficial (or less harmful) for a country with lower import demand. A PTA is also more beneficial for a country with a more efficient import-substituting sector, as this will result in a lower demand for imports. • A small country may gain from forming a PTA when smuggling …
Prevention of pericardial constriction by transcatheter intrapericardial fibrinolysis with urokinase.

To investigate whether intrapericardial urokinase irrigation along with pericardiocentesis could prevent pericardial constriction in patients with infectious exudative pericarditis.



A total of 94 patients diagnosed as infectious exudative pericarditis (34 patients with purulent pericarditis and 60 with tuberculous pericarditis, the disease courses of all patients were less than 1 month), 44 males and 50 females, aged from 9 to 66 years (mean 45.4 +/- 14.7 years), were consecutively recruited from 1993 to 2002. All individuals were randomly given either intrapericardial urokinase along with conventional treatment in study group, or conventional treatment alone (including pericardiocentesis and drainage) in control group. The dosage of urokinase ranged from 200000 to 600000 U (mean 320000 +/- 70000 U). The immediate effects were detected by pericardiography with sterilized air and diatrizoate meglumine as contrast media. The long-term investigation depended on the telephonic survey and echocardiographic examination. The duration of following-up ranged from 8 to 120 months (mean 56.8 +/- 29.0 months).



Percutaneous intrapericardial urokinase irrigation promoted complete drainage of pericardial effusion, significantly reduced the thickness of pericardium (from 3.1 +/- 1.6 mm to 1.6 +/- 1.0 mm in study group, P < 0.001; from 3.4 +/- 1.6 mm to 3.2 +/- 1.8 mm in control group, P > 0.05, respectively), and alleviated the adhesion. Intrapericardial bleeding related to fibrinolysis was found in 6 of 47 patients with non-blood pericardial effusion and no systemic bleeding and severe puncture-related complication was observed. In follow-up, there was no cardiac death, and pericardial constriction events were observed in 9 (19.1%) of study group and 27 (57.4%) of control group. Cox analysis illustrated that urokinase could significantly reduce the occurrence of pericardial constriction (relative hazard coefficient = 0.185, P < 0.0001).



The early employment of intrapericardial fibrinolysis with urokinase and pericardiocentesis appears to be safe and effective in preventing the development of pericardial constriction in patients with infectious exudative pericarditis.
Experiential Narrative in Game Environments

This paper explores the contentious notion of experiential narrative and proposes the first step in a narrative framework for game environment. It argues for a shift in emphasis from story-telling, the dominant mode of narrative in literature and cinema, to story generation. To this effect the paper forwards a perspective on experiential narrative that is grounded in the specific qualities of the game. This avoids the over-generalization that tends to accompany discussions of experiential narrative while retaining the cognitive dimension in play.
Anisotropy-based position estimation for highly-saturated permanent magnet synchronous machines in slowly-sampled control systems

This paper presents an anisotropy-based position estimation approach taking advantage of saturation effects in permanent magnet synchronous machines (PMSM). Due to magnetic anisotropies of the electrical machine, current responses to high-frequency voltage excitations contain rotor position information. Therefore, the rotor position can be estimated by means of these current responses. The relation between the high-frequency current changes, the applied phase voltages and the rotor position is given by the inverse inductance matrix of the machine. In this paper, an analytical model of the inverse inductance matrix considering secondary anisotropies and saturation effects is proposed. It is shown that the amount of rotor position information contained in these current changes depends on the direction of the voltage excitation and the operating point. By means of this knowledge, a position estimation approach for slowly-sampled control systems is developed. Experimental results show the effectiveness of the proposed approach.
Identification of novel omega-3 fatty acid-derived bioactive metabolites based on a targeted lipidomics approach

Omega-3 polyunsaturated fatty acids such as eicosapentaenoic acid and docosahexaenoic acid have beneficial effects in many inflammatory disorders. Although the mechanism of eicosapentaenoic acid and docosahexaenoic acid action is still not fully defined in molecular terms, recent studies have revealed that, during the course of acute inflammation, omega-3 polyunsaturated fatty acid-derived anti-inflammatory mediators including resolvins and protectins are produced. This review presents recent advances in understanding the formation and action of these mediators, especially focusing on the LC-MS/MS-based lipidomics approach and recently identified bioactive products with potent anti-inflammatory property.
Exploring the use of speech input by blind people on mobile devices

Much recent work has explored the challenge of nonvisual text entry on mobile devices. While researchers have attempted to solve this problem with gestures, we explore a different modality: speech. We conducted a survey with 169 blind and sighted participants to investigate how often, what for, and why blind people used speech for input on their mobile devices. We found that blind people used speech more often and input longer messages than sighted people. We then conducted a study with 8 blind people to observe how they used speech input on an iPod compared with the on-screen keyboard with VoiceOver. We found that speech was nearly 5 times as fast as the keyboard. While participants were mostly satisfied with speech input, editing recognition errors was frustrating. Participants spent an average of 80.3% of their time editing. Finally, we propose challenges for future work, including more efficient eyes-free editing and better error detection methods for reviewing text.
Performance evaluation of ip wireless networks using two way active measurement protocol

With the advent of different kinds of wireless networks and smart phones, Cellular network users are provided with various data connectivity options by Network Service Providers (ISPs) abiding to Service Level Agreement, i.e. regarding to Quality of Service (QoS) of network deployed. Network Performance Metrics (NPMs) are needed to measure the network performance and guarantee the QoS Parameters like Availability, delivery, latency, bandwidth, etc. Two way active measurement protocol (TWAMP) is widely prevalent active measurement approach to measure two-way metrics of networks. In this work, software tool is developed, that enables network user to assess the network performance. There is dearth of tools, which can measure the network performance of wireless networks like Wi-Fi, 3G, etc., Therefore proprietary TWAMP implementation for IPv6 wireless networks on Android platform and indigenous driver development to obtain send/receive timestamps of packets, is proposed, to obtain metrics namely Round-trip delay, Two-way packet Loss, Jitter, Packet Reordering, Packet Duplication and Loss-patterns etc. Analysis of aforementioned metrics indicate QoS of the wireless network under concern and give hints to applications of varying QoS profiles like VOIP, video streaming, etc. to be run at that instant of time or not.