nils-herrmann/clean_scirepeval huggingface dataset:
A comparative study of navigation meshes

A navigation mesh is a representation of a 2D or 3D virtual environment that enables path planning and crowd simulation for walking characters. Various state-of-the-art navigation meshes exist, but there is no standardized way of evaluating or comparing them. Each implementation is in a different state of maturity, has been tested on different hardware, uses different example environments, and may have been designed with a different application in mind.
 In this paper, we conduct the first comparative study of navigation meshes. First, we give general definitions of 2D and 3D environments and navigation meshes. Second, we propose theoretical properties by which navigation meshes can be classified. Third, we introduce metrics by which the quality of a navigation mesh implementation can be measured objectively. Finally, we use these metrics to compare various state-of-the-art navigation meshes in a range of 2D and 3D environments.
 We expect that this work will set a new standard for the evaluation of navigation meshes, that it will help developers choose an appropriate navigation mesh for their application, and that it will steer future research on navigation meshes in interesting directions.
NoSQL Database-Google ’ s Firebase : A Review

Nowadays, the number of users, speed of internet and processing power of devices are increasing at a tremendous rate. For maintaining the balance between users and company networks with product or service, our system must evolve and modify to handle the future load of data. Currently, we are using file systems, Database servers and some semi-structured file systems. But all these systems are mostly independent, differ from each other in many except and never on the single roof for easy, effective use. So, to minimize the problems for developing apps, website, game development easier, Google came with the solution as their product Firebase. Firebase is implementing a real-time database, crash reporting, authentication, cloud functions, cloud storage, hosting, test-lab, performance monitoring and analytics on a single system platform for speed, security as well as efficiency. Systems like these are also developed by some big companies like Facebook, IBM, Linkedin, etc for their personal use. So we can say that Firebase will have the power to handle the future requirement.
Feature selection methods and their combinations in high-dimensional classification of speaker likability, intelligibility and personality traits

This study focuses on feature selection in paralinguistic analysis and presents recently developed supervised and unsupervised methods for feature subset selection and feature ranking. Using the standard k-nearest-neighbors (kNN) rule as the classification algorithm, the feature selection methods are evaluated individually and in different combinations in seven paralinguistic speaker trait classification tasks. In each analyzed data set, the overall number of features highly exceeds the number of data points available for training and evaluation, making a well-generalizing feature selection process extremely difficult. The performance of feature sets on the feature selection data is observed to be a poor indicator of their performance on unseen data. The studied feature selection methods clearly outperform a standard greedy hill-climbing selection algorithm by being more robust against overfitting. When the selection methods are suitably combined with each other, the performance in the classification task can be further improved. In general, it is shown that the use of automatic feature selection in paralinguistic analysis can be used to reduce the overall number of features to a fraction of the original feature set size while still achieving a comparable or even better performance than baseline support vector machine or random forest classifiers using the full feature set. The most typically selected features for recognition of speaker likability, intelligibility and five personality traits are also reported.
Publicly Verifiable Inner Product Evaluation over Outsourced Data Streams under Multiple Keys

Uploading data streams to a resource-rich cloud server for inner product evaluation, an essential building block in many popular stream applications (e.g., statistical monitoring), is appealing to many companies and individuals. On the other hand, verifying the result of the remote computation plays a crucial role in addressing the issue of trust. Since the outsourced data collection likely comes from multiple data sources, it is desired for the system to be able to pinpoint the originator of errors by allotting each data source a unique secret key, which requires the inner product verification to be performed under any two parties’ different keys. However, the present solutions either depend on a single key assumption or powerful yet practically-inefficient fully homomorphic cryptosystems. In this paper, we focus on the more challenging multi-key scenario where data streams are uploaded by multiple data sources with distinct keys. We first present a novel homomorphic verifiable tag technique to publicly verify the outsourced inner product computation on the dynamic data streams, and then extend it to support the verification of matrix product computation. We prove the security of our scheme in the random oracle model. Moreover, the experimental result also shows the practicability of our design.
The SPQ: a scale for the assessment of schizotypal personality based on DSM-III-R criteria.

Existing self-report measures of schizotypal personality assess only one to three of the nine traits of schizotypal personality disorder. This study describes the development of the Schizotypal Personality Questionnaire (SPQ), a self-report scale modeled on DSM-III-R criteria for schizotypal personality disorder and containing subscales for all nine schizotypal traits. Two samples of normal subjects (n = 302 and n = 195) were used to test replicability of findings. The SPQ was found to have high sampling validity, high internal reliability (0.91), test-retest reliability (0.82), convergent validity (0.59 to 0.81), discriminant validity, and criterion validity (0.63, 0.68), findings which were replicated across samples. Fifty-five percent of subjects scoring in the top 10 percent of SPQ scores had a clinical diagnosis of schizotypal personality disorder. Thus, the SPQ may be useful in screening for schizotypal personality disorder in the general population and also in researching the correlates of individual schizotypal traits.
Human Urine‐Derived Stem Cell Differentiation to Endothelial Cells with Barrier Function and Nitric Oxide Production

Endothelial cells (ECs) play a key role in revascularization within regenerating tissue. Stem cells are often used as an alternative cell source when ECs are not available. Several cell types have been used to give rise to ECs, such as umbilical cord vessels, or differentiated from somatic stem cells, embryonic, or induced pluripotent stem cells. However, the latter carry the potential risk of chronic immune rejection and oncogenesis. Autologous endothelial precursors are an ideal resource, but currently require an invasive procedure to obtain them from the patient's own blood vessels or bone marrow. Thus, the goal of this study was to determine whether urine-derived stem cells (USCs) could differentiate into functional ECs in vitro. Urine-derived cells were then differentiated into cells of the endothelial lineage using endothelial differentiation medium for 14 days. Changes in morphology and ultrastructure, and functional endothelial marker expression were assessed in the induced USCs in vitro. Grafts of the differentiated USCs were then subcutaneously injected into nude mice. Induced USCs expressed significantly higher levels of specific markers of ECs (CD31, vWF, eNOS) in vitro and in vivo, compared to nondifferentiated USCs. In addition, the differentiated USC formed intricate tubular networks and presented similar tight junctions, and migration and invasion ability, as well as ability to produce nitric oxide (NO) compared to controls. Using USCs as autologous EC sources for vessel, tissue engineering strategies can yield a sufficient number of cells via a noninvasive, simple, and low-cost method suitable for rapid clinical translation. Stem Cells Translational Medicine 2018 Stem Cells Translational Medicine 2018;7:686-698.
Second Language Acquisition : A Case Study

The case study presented here, deals with the subject of second language acquisition making at the same time an effort to show as much as possible how L1 was acquired and the ways L1 affected L2, through the process of examining a Greek girl who has been exposed to the English language from the age of eight. Furthermore, I had the chance to analyze the method used by the frontistirio teachers and in what ways this method helps or negatively influences children regarding their performance in the four basic skills. We will evaluate the evidence acquired by the girl by studying briefly the basic theories provided by important figures in the field of L2. Finally, I will also include my personal suggestions and the improvement of the child’s abilities and I will state my opinion clearly.
Towards Interactive Query Expansion

In an era of online retrieval, it is appropriate to offer guidance to users wishing to improve their initial queries. One form of such guidance could be short lists of suggested terms gathered from feedback, nearest neighbors, and term variants of original query terms. To verify this approach, a series of experiments were run using the Cranfield test collection to discover techniques to select terms for these lists that would be effective for further retrieval. The results show that significant improvement can be expected from this approach to query expansion.
SOCIAL METRICS APPLIED TO SMART TOURISM

We present a strategy to make productive use of semantically-related social data, from a user-centered semantic network, in order to help users (tourists and citizens in general) to discover cultural heritage, points of interest and available services in a smart city. This data can be used to personalize recommendations in a smart tourism application. Our approach is based on flow centrality metrics typically used in social network analysis: flow betweenness, flow closeness and eccentricity. These metrics are useful to discover relevant nodes within the network yielding nodes that can be interpreted as suggestions (venues or services) to users. We describe the semantic network built on graph model, as well as social metrics algorithms used to produce recommendations. We also present challenges and results from a prototypical implementation applied to the case study of the City of Puebla, Mexico.
Concomitant medication polypharmacy, interactions and imperfect adherence are common in Australian adults on suppressive antiretroviral therapy

We quantified concomitant medication polypharmacy, pharmacokinetic and pharmacodynamic interactions, adverse effects and adherence in Australian adults on effective antiretroviral therapy.



Cross-sectional.



Patients recruited into a nationwide cohort and assessed for prevalence and type of concomitant medication (including polypharmacy, defined as ≥5 concomitant medications), pharmacokinetic or pharmacodynamic interactions, potential concomitant medication adverse effects and concomitant medication adherence. Factors associated with concomitant medication polypharmacy and with imperfect adherence were identified using multivariable logistic regression.



Of 522 participants, 392 (75%) took a concomitant medication (mostly cardiovascular, nonprescription or antidepressant). Overall, 280 participants (54%) had polypharmacy of concomitant medications and/or a drug interaction or contraindication. Polypharmacy was present in 122 (23%) and independently associated with clinical trial participation, renal impairment, major comorbidity, hospital/general practice-based HIV care (versus sexual health clinic) and benzodiazepine use. Seventeen participants (3%) took at least one concomitant medication contraindicated with their antiretroviral therapy, and 237 (45%) had at least one pharmacokinetic/pharmacodynamic interaction. Concomitant medication use was significantly associated with sleep disturbance and myalgia, and polypharmacy of concomitant medications with diarrhoea, fatigue, myalgia and peripheral neuropathy. Sixty participants (12%) reported imperfect concomitant medication adherence, independently associated with requiring financial support, foregoing necessities for financial reasons, good/very good self-reported general health and at least 1 bed day for illness in the previous 12 months.



In a resource-rich setting with universal healthcare access, the majority of this sample took a concomitant medication. Over half had at least one of concomitant medication polypharmacy, pharmacokinetic or pharmacodynamic interaction. Concomitant medication use was associated with several adverse clinical outcomes.
Ankle anatomy for the arthroscopist. Part II: Role of the ankle ligaments in soft tissue impingement.

The biomechanical anatomy of the ankle ligaments continues to be a subject of interest because detailed knowledge of these structures is essential for proper diagnosis and treatment of the injuries affecting them. Lesions to the ankle ligaments are one of the most common sports injuries and the origin of soft tissue impingement syndrome. Together with the ligaments of the tibiofibular syndesmosis, two large ligamentous complexes are the main static stabilizers of the ankle joint: the lateral collateral ligament and the medial collateral (or deltoid) ligament. This article provides an anatomic description of the various ligaments of the ankle joint, with particular emphasis on specific anatomic details that are often omitted or little known and that have considerable clinical interest because of their involvement in soft tissue syndrome.
Waterproof Alkyl Phosphate Coated Fluoride Phosphors for Optoelectronic Materials.

A facile approach for coating red fluoride phosphors with a moisture-resistant alkyl phosphate layer with a thickness of 50-100 nm is reported. K2 SiF6 :Mn(4+) particles were prepared by co-precipitation and then coated by esterification of P2 O5 with alcohols (methanol, ethanol, and isopropanol). This route was adopted to encapsulate the prepared phosphors using transition-metal ions as cross-linkers between the alkyl phosphate moieties. The coated phosphor particles exhibited a high water tolerance and retained approximately 87 % of their initial external quantum efficiency after aging under high-humidity (85 %) and high-temperature (85 °C) conditions for one month. Warm white-light-emitting diodes that consisted of blue InGaN chips, the prepared K2 SiF6 :Mn(4+) phosphors, and either yellow Y3 Al5 O12 :Ce(3+) phosphors or green β-SiAlON: Eu(2+) phosphors showed excellent color rendition.
Secure Monitoring of Patients With Wandering Behavior in Hospital Environments

Today there is considerable interest for making use of the latest technological advancements for several healthcare applications. However, there are several challenges for making use of different technologies for healthcare applications. In particular, there is a need to ensure that the healthcare related services receive priority during events, such as legitimate failures of devices, congestion, and attacks in the networks. In this paper, we discuss some of the requirements for making use of technology for healthcare applications and propose techniques for secure monitoring of patients with wandering behavior in a hospital or elderly care environment. One of the aims of our work is to use technology for secure monitoring of patients with wandering behavior to keep them away from danger, or detect if the behavior of the patient violates the policies of the hospital, or even violates privacy policies of other patients. Our approach makes use of software defined networking (SDN), Wireless LAN (WLAN), and wearable devices for the patients. Our approach incurs low cost since WLAN is widely deployed. However, there are some challenges for making use of WLAN for monitoring dementia patients, since it is primarily used for accessing the Internet and its open nature is vulnerable to different types of security attacks. Hence we make use of SDN to solve some of these challenges and provide priority for the monitoring services. We have developed a security application for an SDN controller that can be used to enforce fine granular policies for communication between the hosts, real time location tracking of the patients, and deal with attacks on the hospital networks. The policy-based security enforcement helps to differentiate healthcare related traffic from other traffic and provide priority to the healthcare traffic. The real time location tracking detects wandering by patients and if necessary can raise alarms to the staff. The attack detection component makes use of attack signatures and behavior-based intrusion detection to deal with attacks on hospital networks. We will also present the prototype implementation of our model using ONOS SDN controller and OpenFlow Access Points.
Coding of DWT Coefficients using Run-length Coding and Huffman Coding for the Purpose of Color Image Compression

In present paper we proposed a simple and effective method to compress an image. Here we found success in size reduction of an image without much compromising with it’s quality. Here we used Haar Wavelet Transform to transform our original image and after quantization and thresholding of DWT coefficients Run length coding and Huffman coding schemes have been used to encode the image. DWT is base for quite populate JPEG 2000 technique. lossy compression, DWT, quantization, Run length coding, Huffman coding, JPEG2000
Design and implementation of an intelligent product agent architecture in manufacturing systems

Present-day manufacturing companies encounter a variety of challenges due to the dynamically changing industrial environment. Current control frameworks lack the adaptability and flexibility to effectively deal with challenges such as broken-down machines or altered customer orders. Multi-agent control has been proposed to improve the performance of manufacturing systems in uncertain or dynamic environments. Some multiagent architectures have been introduced with promising results. A key component of these architectures is the product agent, which is responsible for guiding a physical part through the manufacturing system based on the production requirements of the part. Even though the product agent has been previously used in multi-agent frameworks, a well-defined internal architecture for this agent has yet to be proposed. This work specifies a product agent architecture that can be utilized in multi-agent systems. The proposed architecture is tested using a manufacturing system simulation. The simulation results showcase the reactivity, proactiveness, and autonomy of the proposed product agent.
Analytical Procedures for Continuous Data Level Auditing: Continuity Equations 1

This paper designs a Continuous Data Level Auditing system utilizing business process based analytical procedures and evaluates the system’s performance using disaggregated transaction records of a large healthcare management firm. An important innovation in the proposed architecture of the CDA system is the utilization of analytical monitoring as the second (rather than the first) stage of data analysis. The first component of the system utilizes automatic transaction verification to filter out exceptions, defined as transactions violating formal business process rules. The second component of the system utilizes business process based analytical procedures, denoted here ―Continuity Equations‖, as the expectation models for creating business process audit benchmarks. Our first objective is to examine several expectation models that can serve as the continuity equation benchmarks: a Linear Regression Model, a Simultaneous Equation Model, two Vector Autoregressive models, and a GARCH model. The second objective is to examine the impact of the choice of the level of data aggregation on anomaly detection performance. The third objective is to design a set of online learning and error correction protocols for automatic model inference and updating. Using a seeded error simulation approach, we demonstrate that the use of disaggregated business process data allows the detection of anomalies that slip through the analytical procedures applied to more aggregated data. Furthermore, the results indicate that under most circumstances the use of real time error correction results in superior performance, thus showing the benefit of continuous auditing.
What is Social Informatics and Why Does it Matter?

It is a field that is defined by its topic (and fundamental questions about it) rather than by a family of methods, much like urban studies or gerontology. Social informatics has been a subject of systematic analytical and critical research for the last 25 years. This body of research has developed theories and findings that are pertinent to understanding the design, development, and operation of usable information systems, including intranets, electronic forums, digital libraries and electronic journals.
A PFC Modified Landsman Converter-Based PWM-Dimmable RGB HB-LED Driver for Large Area Projection Applications

In this paper for power factor correction (PFC), a modified Landsman converter is introduced. The application is targeted for high-brightness (HB) projection application with brightness control for HB red–green–blue (HB-RGB) light-emitting diode (LED). A pulse-width modulation (PWM) technique is used for intensity control to achieve brightness control of the LED driver. The proposed PFC converter is used to feed a dual output flyback dc–dc converter that supplies power to the forced cooling unit and the LED module with galvanic isolation. The brightness control of LED is performed by synchronous buck converter. The modified Landsman converter operates in discontinuous output inductor current mode for PFC at universal ac mains. A prototype of the proposed LED driver is experimentally verified. The performance of proposed driver is evaluated at full and light-load condition for universal ac mains (90–265 V) over a full range of brightness. The power quality parameters are found within the acceptable limits of harmonic standard IEC 61000-3-2 for universal ac mains.