nils-herrmann/clean_scirepeval huggingface dataset:
A Triplet Based Approach for Indexing of Fingerprint Database for Identification

This paper presents a model-based approach which efficiently retrieves correct hypotheses using properties of triangles formed by the triplets of minutiae as the basic representation unit. We show that the uncertainty of minutiae locations associated with feature extraction and shear does not affect the angles of a triangle arbitrarily. Geometric constraints based on characteristics of minutiae are used to eliminate erroneous correspondences. We present an analysis to characterize the discriminating power of our indexing approach. Experimental results on fingerprint images of varying quali ty show that our approach efficiently narrows down the number of candidate hypotheses in the presence of translation, rotation, scale, shear, occlusion and clutter.
Vitamin D and bone health among children with epilepsy.

The lay media and scientific literature have focused increasing attention on vitamin D deficiency and insufficiency in recent years. Low vitamin D levels confer increased an risk of abnormal bone mineralization, and are linked to poor bone health in epilepsy patients. However, vitamin D is not the only determinant of bone health in children with epilepsy. Anticonvulsant medications, in addition to features and comorbidities of epilepsy and coexisting neurologic diseases, are important factors in this complex topic. We review the basic metabolism of vitamin D in terms of bone health among children with epilepsy. We also discuss the literature regarding vitamin D and bone mineral density in this population. Finally, we suggest algorithms for screening and treating vitamin D insufficiency in these patients.
W deposition and titanium fluoride formation during WF 6 reduction by Ti : Reaction path and mechanisms

Reaction of WF6 with air-exposed 27and 250-nm-thick Ti films has been studied using Rutherford backscattering spectroscopy, scanning and high-resolution transmission electron microscopy, electron and x-ray diffraction, and x-ray photoelectron spectroscopy. We show that W nucleates and grows rapidly at localized sites on Ti during short WF 6 exposures~'6 s! at 445 °C at low partial pressurespWF6,0.2 Torr. Large amounts of F, up to '2.0310 atoms/cm corresponding to an average F/Ti ratio of 1.5 in a 27-nm-thick Ti layer, penetrate the Ti film, forming a solid solution and nonvolatile TiF3. The large stresses developed due to volume expansion during fluorination of the Ti layer result in local delamination at the W/Ti and the Ti/SiO 2 interfaces at low and high WF 6 exposures, respectively. WF 6 exposure atpWF6.0.35 results in the formation of a network of elongated microcracks in the W film which allow WF 6 to diffuse through and attack the underlying Ti, consuming the 27-nm-thick Ti film through the evolution of gaseous TiF 4.
Information technology maturity stages and enterprise benchmarking: an empirical study

Recently, many enterprises are using a variety of methods and techniques to examine and improve their current maturity level of information technology (IT). Although IT evaluation studies based on IT maturity stages have been conducted widely, the stages theory has not been confirmed through statistical testing. IT evaluation activities can present managerial implications to an enterprise by determining where it stands within the stages theory. The purpose of this paper is to test empirically and repeatedly the once-defined maturity model in order to make its validity more powerful.  To define IT maturity stages and benchmarks with statistical testing, evaluation fields and factors of the L&K Model are referred to. Data were gathered by a questionnaire survey and interviews, in which 312 enterprises in South Korea participated. Consequently, IT maturity stages are defined and significant benchmarks of each stage are validated through ANOVA and post hoc comparison methods.  The results of the study indicate the meanings and benchmarks of newly defined five stages of IT maturity: initiation, recognition, diffusion, control, and integration.  The aim of this study is not only to apply an advanced methodology to study empirically how IT maturity level of an enterprise is improved, but also to suggest practical guidelines for actions to improve it.  The five stages model is totally enhanced and reformulated from the previous stages theories. First, well-combined and comprehensive evaluation factors are used to critically appraise the evolutionistic characteristic of IT in enterprises. Second, the definition and benchmarks of the five stages model are confirmed through statistical testing with sufficient sample size (n 1⁄4 312).
ABRIR at NTCIR-9 GeoTime Task Usage of Wikipedia and GeoNames for Handling Named Entity Information

In the previous NTCIR8-GeoTime task, ABRIR (Appropriate Boolean query Reformulation for Information Retrieval) proved to be one of the most effective systems for retrieving documents with Geographic and Temporal constraints. However, failure analysis showed that the identification of named entities and relationships between these entities and the query is important in improving the quality of the system. In this paper, we propose to use Wikipedia and GeoNames as resources for extracting knowledge about named entities. We also modify our system to use such information.
How to Build Templates for RDF Question/Answering: An Uncertain Graph Similarity Join Approach

A challenging task in the natural language question answering (Q/A for short) over RDF knowledge graph is how to bridge the gap between unstructured natural language questions (NLQ) and graph-structured RDF data (GOne of the effective tools is the "template", which is often used in many existing RDF Q/A systems. However, few of them study how to generate templates automatically. To the best of our knowledge, we are the first to propose a join approach for template generation. Given a workload D of SPARQL queries and a set N of natural language questions, the goal is to find some pairs q, n, for q∈ D ∧ n ∈, N, where SPARQL query q is the best match for natural language question n. These pairs provide promising hints for automatic template generation. Due to the ambiguity of the natural languages, we model the problem above as an uncertain graph join task. We propose several structural and probability pruning techniques to speed up joining. Extensive experiments over real RDF Q/A benchmark datasets confirm both the effectiveness and efficiency of our approach.
Real-time thresholding with Euler numbers

The problem of finding an automatic thresholding technique is well known in applications involving image differencing like visual-based surveillance systems, autonomous vehicle driving, etc. Among the algorithms proposed in the past years, the thresholding technique based on the stable Euler number method is considered one of the most promising in terms of visual results. Unfortunately its high computational complexity made it an impossible choice for real-time applications. The implementation here proposed, called fast Euler numbers, overcomes the problem since it calculates all the Euler numbers in just one single raster scan of the image. That is, it runs in OðhwÞ, where h and w are the image s height and width, respectively. A technique for determining the optimal threshold, called zero crossing, is also proposed.
Socio-Economic Analysis of Homeless Population in Urban Areas a Case Study of Northern Ethiopia

Homeless is the condition of the people who are unwilling to maintain regular and adequate housing in both developed and developing countries. Present work was attempted with the objectives to address socio-economic conditions of the homeless people and identify the problem with respect to the homelessness at Mekelle city. On basis of random sampling four sub-cities were selected where by using purposive sampling 120 homeless households were sampled. Findings reveal that homeless population is a result of international and internal migration, 72% homeless population is either illiterate or poor in education. Casual/daily labour (64.7%), transportation (64.3%), pity trades (52%) are their main occupations, while restaurant workers, housemaids are among the females. They live rented houses, slums and under open sky where insufficient amenities are common.
Factorized Adversarial Networks for Unsupervised Domain Adaptation

In this paper, we propose Factorized Adversarial Networks (FAN) to solve unsupervised domain adaptation problems for image classification tasks. Our networks map the data distribution into a latent feature space, which is factorized into a domain-specific subspace that contains domain-specific characteristics and a task-specific subspace that retains category information, for both source and target domains, respectively. Unsupervised domain adaptation is achieved by adversarial training to minimize the discrepancy between the distributions of two taskspecific subspaces from source and target domains. We demonstrate that the proposed approach outperforms state-of-the-art methods on multiple benchmark datasets used in the literature for unsupervised domain adaptation. Furthermore, we collect two real-world tagging datasets that are much larger than existing benchmark datasets, and get significant improvement upon baselines, proving the practical value of our approach.
Locomotion and attachment of leaf beetle larvae Gastrophysa viridula (Coleoptera, Chrysomelidae).

While adult green dock leaf beetles Gastrophysa viridula use tarsal adhesive setae to attach to and walk on smooth vertical surfaces and ceilings, larvae apply different devices for similar purposes: pretarsal adhesive pads on thoracic legs and a retractable pygopod at the 10th abdominal segment. Both are soft smooth structures and capable of wet adhesion. We studied attachment ability of different larval instars, considering the relationship between body weight and real contact area between attachment devices and the substrate. Larval gait patterns were analysed using high-speed video recordings. Instead of the tripod gait of adults, larvae walked by swinging contralateral legs simultaneously while adhering by the pygopod. Attachment ability of larval instars was measured by centrifugation on a spinning drum, revealing that attachment force decreases relative to weight. Contributions of different attachment devices to total attachment ability were investigated by selective disabling of organs by covering them with melted wax. Despite their smaller overall contact area, tarsal pads contributed to a larger extent to total attachment ability, probably because of their distributed spacing. Furthermore, we observed different behaviour in adults and larvae when centrifuged: while adults gradually slipped outward on the centrifuge drum surface, larvae stayed at the initial position until sudden detachment.
Language and conceptual development.

Linguistic and conceptual development converge crucially in the process of early word learning. Acquiring a new word requires the child to identify a conceptual unit, identify a linguistic unit, and establish a mapping between them. On the conceptual side, the child has to not only identify the relevant part of the scene being labeled, but also isolate a concept at the correct level of abstraction-the word 'dog' must be mapped to the concept dog and not to the concepts petting or collie, for example. On the linguistic side, the child must use the syntactic context in which the word appears to determine its grammatical category (e.g., noun, verb, adjective). But she also uses syntactic information, along with observation of the world and social-communicative cues, to make guesses at which concept the word picks out as well as its level of abstraction. We present evidence that young learners learn new words rapidly and extend them appropriately. However, the relative import of observational and linguistic cues varies as a function of the kind of word being acquired, with verbs requiring a richer set of conceptual and linguistic cues than nouns.
Atmospheric qualities of online retailing A conceptual model and implications

To address the lack of systematic research on the nature and effectiveness of online retailing, a conceptual model is proposed which examines the potential influence of atmospheric qualities of a virtual store. The underlying premise is that, given the demonstrated impact of store environment on shopper behaviors and outcomes in a traditional retailing setting, such atmospheric cues are likely to play a role in the online shopping context. A Stimulus–Organism–Response (S–O–R) framework is used as the basis of the model which posits that atmospheric cues of the online store, through the intervening effects of affective and cognitive states, influence the outcomes of online retail shopping in terms of approach/avoidance behaviors. Two individual traits, involvement and atmospheric responsiveness, are hypothesized to moderate the relationship between atmospheric cues and shoppers’ affective and cognitive reactions. Propositions are derived and the research implications of the model are presented. D 2001
Degree based Classification of Harmful Speech using Twitter Data

Harmful speech has various forms and it has been plaguing the social media in different ways. If we need to crackdown different degrees of hate speech and abusive behavior amongst it, the classification needs to be based on complex ramifications which needs to be defined and hold accountable for, other than racist, sexist or against some particular group and community. This paper primarily describes how we created an ontological classification of harmful speech based on degree of hateful intent, and used it to annotate twitter data accordingly. The key contribution of this paper is the new dataset of tweets we created based on ontological classes and degrees of harmful speech found in the text. We also propose supervised classification system for recognizing these respective harmful speech classes in the texts hence. This serves as a preliminary work to lay down foundation on defining different classes of harmful speech and subsequent work will be done in making it’s automatic detection more robust and efficient.
Recent Advances in Local Energy Trading in the Smart Grid Based on Game-Theoretic Approaches

The global move toward efficient energy consumption and production has led to remarkable advancements in the design of the smart grid infrastructure. Local energy trading is one way forward. It typically refers to the transfer of energy from an entity of the smart grid surplus energy to one with a deficit. In this paper, we present a detailed review of the recent advances in the application of game-theoretic methods to local energy trading scenarios. An extensive description of a complete game theory-based energy trading framework is presented. It includes a taxonomy of the methods and an introduction to the smart grid architecture with a focus on renewable energy generation and energy storage. Finally, we present a critical evaluation of the current shortcomings and identify areas for future research.
Reprogrammable network packet processing on the field programmable port extender (FPX)

A prototype platform has been developed that allows processing of packets at the edge of a multi-gigabit-per-second network switch. This system, the Field Programmable Port Extender (FPX), enables packet processing functions to be implemented as modular components in reprogrammable hardware. All logic on the on the FPX is implemented in two Field Programmable Gate Arrays (FPGAs). Packet processing functions in the system are implemented as dynamically-loadable modules.
Core functionality of the FPX is implemented on an FPGA called the Networking Interface Device (NID). The NID contains the logic to transmit and receive packets over a network, dynamically reprogram hardware modules, and route individual traffic flows.  Modular components of the FPX are implemented on a second FPGA called the Reprogrammable Application Device (RAD). Modules are loaded onto the RAD via reconfiguration and/or partial partial reconfiguration of the FPGA.
Through the combination of the NID and the RAD, the FPX can individually reconfigure the packet processing functionality for one set of traffic flows, while the rest of the system continues to operate. The platform simplifies the development and deployment of new hardware-accelerated packet processing circuits. The modular nature of the system allows an active router to migrate functionality from softare plugins to hardware modules.
Extracting key terms from noisy and multitheme documents

We present a novel method for key term extraction from text documents. In our method, document is modeled as a graph of semantic relationships between terms of that document. We exploit the following remarkable feature of the graph: the terms related to the main topics of the document tend to bunch up into densely interconnected subgraphs or communities, while non-important terms fall into weakly interconnected communities, or even become isolated vertices. We apply graph community detection techniques to partition the graph into thematically cohesive groups of terms. We introduce a criterion function to select groups that contain key terms discarding groups with unimportant terms. To weight terms and determine semantic relatedness between them we exploit information extracted from Wikipedia.
 Using such an approach gives us the following two advantages. First, it allows effectively processing multi-theme documents. Second, it is good at filtering out noise information in the document, such as, for example, navigational bars or headers in web pages.
 Evaluations of the method show that it outperforms existing methods producing key terms with higher precision and recall. Additional experiments on web pages prove that our method appears to be substantially more effective on noisy and multi-theme documents than existing methods.
Assessment of website security by penetration testing using Wireshark

Evolving technology has created an inevitable threat of expose of data that is shared online. Wireshark tool enables the ethical hacker to reveal the flaws in the system security at the user authentication level. This approach of identifying vulnerabilities is deemed fit as the strategy involved in this testing is rapid and provides good success in identifying vulnerabilities. The usage of Wireshark also ensures that the procedure followed is up to the required standards. This paper discussed about the need to utilize penetration testing, the benefits of using Wireshark for the same and goes on to illustrate one method of using the tool to perform penetration testing. Most areas of a network are highly susceptible to security attacks by adversaries. This paper focuses on solving the aforementioned issue by surveying various tools available for penetration testing. This also provides a sample of basic penetration testing using Wireshark.
Prebiotic Wheat Bran Fractions Induce Specific Microbiota Changes

Wheat bran fibers are considered beneficial to human health through their impact on gut microbiota composition and activity. Here, we assessed the prebiotic potential of selected bran fractions by performing a series of fecal slurry anaerobic fermentation experiments using aleurone as well as total, ultrafine, and soluble wheat bran (swb) as carbon sources. By combining amplicon-based community profiling with a fluorescent in situ hybridization (FISH) approach, we found that incubation conditions favor the growth of Proteobacteria such as Escherichia and Bilophila. These effects were countered in all but one [total wheat bran (twb)] fermentation experiments. Growth of Bifidobacterium species was stimulated after fermentation using ultrafine, soluble, and twb, in the latter two as part of a general increase in bacterial load. Both ultrafine and swb fermentation resulted in a trade-off between Bifidobacterium and Bilophila, as previously observed in human dietary supplementation studies looking at the effect of inulin-type fructans on the human gut microbiota. Aleurone selectively stimulated growth of Dorea and butyrate-producing Roseburia. All fermentation experiments induced enhanced gas production; increased butyrate concentrations were only observed following soluble bran incubation. Our results open perspectives for the development of aleurone as a complementary prebiotic selectively targeting colon butyrate producers.
SQL-Injection Security Evolution Analysis in PHP

Web sites are often a mixture of static sites and programs that integrate relational databases as a back-end. Software that implements Web sites continuously evolve to meet ever-changing user needs. As a Web sites evolve, new versions of programs, interactions and functionalities are added and existing ones are removed or modified. Web sites require configuration and programming attention to assure security, confidentiality, and trustiness of the published information. During evolution of Web software, from one version to the next one, security flaws may be introduced, corrected, or ignored. This paper presents an investigation of the evolution of security vulnerabilities as detected by propagating and combining granted authorization levels along an inter-procedural control flow graph (CFG) together with required security levels for DB accesses with respect to SQL-injection attacks. The paper reports results about experiments performed on 31 versions of phpBB, that is a publicly available bulletin board written in PHP, version 1.0.0 (9547 LOC) to version 2.0.22 (40663 LOC) have been considered as a case study. Results show that the vulnerability analysis can be used to observe and monitor the evolution of security vulnerabilities in subsequent versions of the same software package. Suggestions for further research are also presented.
Aalborg Universitet Detection of U . S . Traffic

This paper presents a comprehensive research study of the detection of US traffic signs. Until now, the research in Traffic Sign Recognition systems has been centered on European traffic signs, but signs can look very different across different parts of the world, and a system which works well in Europe may indeed not work in the US. We go over the recent advances in traffic sign detection and discuss the differences in signs across the world. Then we present a comprehensive extension to the publicly available LISA-TS traffic sign dataset, almost doubling its size, now with HD-quality footage. The extension is made with testing of tracking sign detection systems in mind, providing videos of traffic sign passes. We apply the Integral Channel Features and Aggregate Channel Features detection methods to US traffic signs and show performance numbers outperforming all previous research on US signs (while also performing similarly to the state of the art on European signs). Integral Channel Features have previously been used successfully for European signs, while Aggregate Channel Features have never been applied to the field of traffic signs. We take a look at the performance differences between the two methods and analyze how they perform on very distinctive signs, as well as white, rectangular signs, which tend to blend into their environment.