nils-herrmann/clean_scirepeval huggingface dataset:
An Online Identity and Smart Contract Management System
Venue: 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC)

In today's online environment, people attend various kinds of activities, exhibit different digital presence, build personal digital reputations, issuing and receiving feedbacks from online communities being involved with. These diverse information sources once aggregated can provide a valuablefuture reference for personal online digital identity and credits check. The primary objective of this paper is to propose a systematic framework for aggregating online identity and reputation information, to provide a holistic approach to personal online behavioral ratings. Major contributions include: An identity aggregation mechanism based on social dependency network is proposed, a smart contract management framework referring to personal online ratings based on the aggregated digital identity, an experiment implementation based on blockchain technology, with illustrative examples and theoretical evaluations to the proposed approach.
GUARDIANS UPON HIGH: AN APPLICATION OF ROUTINE ACTIVITIES THEORY TO ONLINE IDENTITY THEFT IN EUROPE AT THE COUNTRY AND INDIVIDUAL LEVEL

Online fraud is the most prevalent acquisitive crime in Europe. This study applies routine activities theory to a subset of online fraud, online identity theft, by exploring countrylevel mechanisms, in addition to individual determinants via a multi level analysis of Eurobarometer survey data. This paper adds to the theory of cybercrime and policy debates by: i) showing that country physical guardianship (e.g. cyber security strategy) moderates the effects of individual physical guardianship; ii) introducing a typology of online capable guardianship: physical passive, active personal and avoidance personal guardianship; iii) showing that online identity theft is associated with personal and physical guardianship; and iv) identifying public Internet access and online auction selling as highly risky routine activities. The paper concludes by emphasising the importance of studying country level effects on online identity theft victimisation.
Digital Footprints and Changing Networks During Online Identity Transitions
Venue: CHI

Digital artifacts on social media can challenge individuals during identity transitions, particularly those who prefer to delete, separate from, or hide data that are representative of a past identity. This work investigates concerns and practices reported by transgender people who transitioned while active on Facebook. We analyze open ended survey responses from 283 participants, highlighting types of data considered problematic when separating oneself from a past identity, and challenges and strategies people engage in when managing personal data in a networked environment. We find that people shape their digital footprints in two ways: by editing the self presentational data that is representative of a prior identity, and by managing the configuration of people who have access to that self presentation. We outline the challenging interplay between shifting identities, social networks, and the data that suture them together. We apply these results to a discussion of the complexities of managing and forgetting the digital past.
A Fast Adaptive Artificial Neural Network Controller for Flexible Link Manipulators

This paper describes a hybrid approach to the problem of controlling flexible link manipulators in the dynamic phase of the trajectory. A flexible beam/arm is an appealing option for civil and military applications, such as space based robot manipulators. However, flexibility brings with it unwanted oscillations and severe chattering which may even lead to an unstable system. To tackle these challenges, a novel control architecture scheme is presented. First, a neural network controller based on the robot's dynamic equation of motion is elaborated. Its aim is to produce a fast and stable control of the joint position and velocity and damp the vibration of each arm. Then, an adaptive Cerebellar Model Articulation Controller (CMAC) is implemented to balance unmodeled dynamics, enhancing the precision of the control. Efficiency of the new controller obtained is tested on a two link flexible manipulator. Simulation results on a dynamic trajectory with a sinusoidal form show the effectiveness of the proposed control strategy.
Obstacle space modeling and moving window RRT for manipulator motion planning
Venue: 2016 IEEE International Conference on Information and Automation (ICIA)

A fast motion planner is presented for manipulator pick and place operation in cluttered workspace. This planner consists of two subalgorithms which are proposed to enhance the computational efficiency. First, based on the discretization and extraction of boundary surface from obstacle space, a new obstacle space modeling method is introduced to carry out the collision check promptly. Second, an optimized path searching subalgorithm named moving window rapidly exploring random tree is presented. The moving window unilateral Gaussian random sampling strategy is used for fast convergence to the goal state in different environment. Finally, the proposed motion planner is simulated on a PUMA560 robot manipulator. The simulation results demonstrate that the proposed method enables real time motion planning and can be implemented conveniently. More importantly, compared to the conventional methods, the developed method requires less storage space for obstacle space model, executes only once to check the collision rapidly for each segmented path. Besides, the stable performance in path searching offers higher robustness for the motion planner.
Solubilised bright blue emitting iridium complexes for solution processed OLEDs+ +Electronic supplementary information (ESI) available: Synthesis CIF of the crystal structures. CCDC 1440897 1440899. For ESI and crystallographic data in CIF or other electronic format see DOI: 10.1039/c6tc00151c Click
Venue: Journal of materials chemistry. C

Combining a sterically bulky, electron deficient cyclometalating CN ligands with an electron rich, highly rigidified NN ligand gives an iridium complex, that achieves extraordinarily bright blue emission (Ph PL 90% l max 459 nm in MeCN) for a cationic iridium complex.
Supervisory Controller Synthesis for Product Lines Using CIF 3
Venue: ISoLA

Using the CIF 3 toolset, we illustrate the general idea of controller synthesis for product line engineering for a prototypical example of a family of coffee machines. The challenge is to integrate a number of given components into a family of products such that the resulting behaviour is guaranteed to respect an attributed feature model as well as additional behavioural requirements. The proposed correctness by construction approach incrementally restricts the composed behaviour by subsequently incorporating feature constraints, attribute constraints and temporal constraints. The procedure as presented focusses on synthesis, but leaves ample opportunity to handle e.g. uncontrollable behaviour, dynamic reconfiguration, and product and family based analysis.
International Archival Auditing and Assurance Research: Trends, Methodological Issues, and Opportunities

We present a comprehensive review of the 130 international archival auditing and assurance research articles that were published in eight leading accounting and auditing journals for 1995 2014. In order to support evidence based international standard setting and regulation, and to identify what has been learned to date, we map this research to the International Auditing and Assurance Standards Board's (IAASB) Framework for Audit Quality. For the areas that have been well researched, we provide a summary of the findings and outline how they can inform standard setters and regulators. We also observe a significant evolution in international archival research over the 20 years of our study, as evidenced by the measures of audit quality, data sources used, and approaches used to address endogeneity concerns. Finally, we identify some challenges in undertaking international archival auditing and assurance research and identify opportunities for future research. Our review is of interest to researche.
Research Issues in Archival Provenance

This chapter reviews the conceptualization of archival provenance and the related concepts of archival fonds and original order and the ways these concepts have guided practice. Section 1 identifies problems entailed by the qualitative and imprecise conceptual approach traditionally applied to the issues involved in the management, use, and preservation of records, and suggests a multidisciplinary strategy to reformulate basic concepts. Section 2 describes problems arising from the traditional approach in greater detail. Section 3 indicates how a multidisciplinary strategy might be applied to both clarify theory and improve practice.
Preparation and Application of TiO2 Nanotube Array Gas Sensor for SF6 Insulated Equipment Detection: a Review
Venue: Nanoscale Research Letters

Since Zwilling and co workers first introduced the electrochemical anodization method to prepare TiO2 nanotubes in 1999, it has attracted a lot of researches due to its outstanding gas response and selectivity, making it widely used in gas detection field. This review presents an introduction to the sensor applications of TiO2 nanotube arrays (TNTAs) in sulfur hexafluoride (SF6) insulated equipment, which is used to evaluate and diagnose the insulation status of SF6 insulated equipment by detecting their typical decomposition products of SF6: sulfur dioxide (SO2) thionyl fluoride (SOF2) and sulfuryl fluoride (SO2F2) The synthesis and sensing properties of TiO2 nanotubes are discussed first. Then, it is followed by discussing the theoretical sensing to the typical SF6 decomposition products, SO2, SOF2, and SO2F2, which analyzes the sensing mechanism at the molecular level. Finally, the gas response of pure and modified TiO2 nanotubes sensor to SO2, SOF2, and SO2F2 is provided according to the change of resistance in experimental observation.
Character based Decoding in Tree to Sequence Attention based Neural Machine Translation
Venue: WAT@COLING

This paper reports our systems (UT AKY) submitted in the 3rd Workshop of Asian Translation 2016 (WAT'16) and their results in the English to Japanese translation task. Our model is based on the tree to sequence Attention based NMT (ANMT) model proposed by Eriguchi et al. (2016) We submitted two ANMT systems: one with a word based decoder and the other with a character based decoder. Experimenting on the English to Japanese translation task, we have confirmed that the character based decoder can cover almost the full vocabulary in the target language and generate translations much faster than the word based model.
Scalable and Secure Sharing of Personal Health Records in Cloud Computing using Attribute Based Encryption

Personal Health Records (PHRs) should remain the lifelong property of patients, who should be able to show them conveniently and securely to selected caregivers and institutions. In this paper, we present My PHR Machines, a cloud based PHR system taking a radically new architectural solution to health record portability. In My PHR Machines, health related data and the application software to view and/or analyze it are separately deployed in the PHR system. After uploading their medical data to My PHR Machines, patients can access them again from remote virtual machines that contain the right software to visualize and analyze them without any need for conversion. Patients can share their remote virtual machine session with selected caregivers, who will need only a Web browser to access the pre loaded fragments of their lifelong PHR. We discuss a prototype of My PHR Machines applied to two use cases, i.e. radiology image sharing and personalized medicine.
Scalable and Secure Sharing of Personal Health Records in Cloud Computing Using Attribute Based Encryption

Personal health record (PHR) is patient centric model in that patient's health information can share with anyone it will be store in third part, it will be work as cloud. Hence there is main concern of security of private health information as it was stored at third party server and to unauthorized parties. In these proposed method before outsourcing the data give the assurance to patients they having the authority to access own PHR. Till issue such as risk of Health information exposure, easily accessibility, Key Management, efficiency user revocation. In this paper, we define patient centric architecture and access control for achieve the information of PHR which is stored in cloud server. We can encrypt patient's PHR File by using Attribute based Encryption and easy to access control on PHR File. As compare to previous work we secure data outsourcing. In these studies we focus on multiple data owner scenario for the avoid complexity for the user and owner and divided users in different security domain. We can focus also access policies dynamic modification, support to on demand user or attribute revocation, access speedily in emergency situation. In our proposed method scalability, efficiency and securities.
Deep Feature Extraction and Classification of Hyperspectral Images Based on Convolutional Neural Networks
Venue: IEEE Transactions on Geoscience and Remote Sensing

Due to the advantages of deep learning, in this paper, a regularized deep feature extraction (FE) method is presented for hyperspectral image (HSI) classification using a convolutional neural network (CNN) The proposed approach employs several convolutional and pooling layers to extract deep features from HSIs, which are nonlinear, discriminant, and invariant. These features are useful for image classification and target detection. Furthermore, in order to address the common issue of imbalance between high dimensionality and limited availability of training samples for the classification of HSI, a few strategies such as L2 regularization and dropout are investigated to avoid overfitting in class data modeling. More importantly, we propose a 3 D CNN based FE model with combined regularization to extract effective spectral spatial features of hyperspectral imagery. Finally, in order to further improve the performance, a virtual sample enhanced method is proposed. The proposed approaches are carried out on three widely used hyperspectral data sets: Indian Pines, University of Pavia, and Kennedy Space Center. The obtained results reveal that the proposed models with sparse constraints provide competitive results to state of the art methods. In addition, the proposed deep FE opens a new window for further research.
Inseguridad en las redes sociales e internet: formando en la apropiacion segura de las TIC
Venue: Rev. Colomb. de Computacion

Las politicas del gobierno nacional y regional facilitan el acceso a las TIC en el pais, especialmente en la educacion y, el aumento de equipos de computo, tablets y conexion a Internet en los hogares colombianos, generando que la edad en que los ninos se inician en el uso del Internet y las redes sociales sea cada vez menor. Los ninos y profesores son instruidos en el uso de estas tecnologias, pero queda un vacio de conocimiento en el uso adecuado de la informacion en estas plataformas. El proyecto Inseguridad en las redes sociales e Internet surge con el proposito de crear un espacio de formacion en las instituciones educativas a traves de la sensibilizacion y el uso de las TIC como componente social para el fortaleciento de la conciencia digital en los infantes que cursaban los grados cuarto y quinto de las instituciones educativas en la provincia de Ocana, Colombia. Los resultados obtenidos a traves de una herramienta de diagnostico muestran el desconocimiento de las buenas practicas en el manejo adecuado de estas plataformas; esto a causa de la ignorancia de las personas que incluyen a los ninos en el mundo de la tecnologia. No es suficiente proporcionar a las escuelas y hogares recursos TIC, si los usuarios no estan capacitados en temas del uso correcto y seguro de la informacion utilizada en estos espacios.
Sales and Invoice Management System with Analysis of Customer Behaviour

Today, the organizations advertise and sell their products online and offline but they face the issue of managing their sales and inventory. A crucial part of their businesses is maintaining relationships with their customers, preventing them from churning out, track decreasing brand loyalty and taking steps to prevent it, and increasing profitability. This paper focuses on efficiently automating the sales processes and making a more accurate system for improving customer retention and extension, than previous software"s. An extensive research done on existing systems gave us an insight into their shortcomings which this system attempts to overcome by using predictive analytics. Using decision trees and random forests in machine learning, the accuracy of the algorithm improves over time to give us better results progressively. The implementation of this system has resulted in better resource utilization, increased responsiveness and accurate forecasting of customer behaviour. This system has been implemented to seamlessly integrate with any ERP system for efficient stock management and an Android application to track the employees and keep them updated with their tasks.
How do parents experience support after the death of their child?
Venue: BMC Pediatrics

BackgroundA child's death is an enormous tragedy for both the parents and other family members. Support for the parents can be important in helping them to cope with the loss of their child. In the Netherlands little is known about parents' experiences of the support they receive after the death of their child.The purpose of this study is to determine what support parents in the Netherlands receive after the death of their child and whether the type of care they receive meets their needs.MethodParents who lost a child during pregnancy, labour or after birth (up to the age of two) were eligible for participation. They were recruited from three parents' associations. Sixty four parents participated in four online focus group discussions. Data on background characteristics were gathered through an online questionnaire. SPSS was used to analyse the questionnaires and Atlas ti. was used for the focus group discussions.ResultsOf the 64 participating parents, 97% mentioned the emotional support they received after the death of their child. This kind of support was generally provided by family, primary care professionals and their social network. Instrumental and informational support, which respectively 80% and 61% of the parents reported receiving, was mainly provided by secondary care professionals. Fifty two per cent of the parents in this study reported having received insufficient emotional support. Shortcomings in instrumental and informational support were experienced by 25% and 19% of the parents respectively. Parental recommendations were directed at ongoing support and the provision of more information.ConclusionTo optimise the way Dutch professionals respond to a child's death, support initiated by the professional should be provided repeatedly after the death of a child. Parents appreciated follow up contacts with professionals at key moments in which they were asked whether they needed support and what kind of support they would like to receive.
Clinical test to detect mecA and antibiotic resistance in Staphylococcus aureus, based on novel biotechnological methods
Venue: Artificial cells, nanomedicine, and biotechnology

Methicillin resistant Staphylococcus aureus (MRSA) is one of the most common organisms isolated from clinical samples, and has been associated with morbidity and mortality among hospitalized patients. The aim of this study was to evaluate the prevalence and antibiotic susceptibility patterns among MRSA and methicillin sensitive S. aureus (MSSA) isolates collected from four hospitals in Iran.  A total of 183 isolates of S. aureus were collected from various clinical specimens of four hospitals in Iran. The isolates were identified by using the conventional biochemical tests. Three methods oxacillin agar disk diffusion, oxacillin agar screening, and PCR were applied to determine susceptibility to oxacillin. The conventional disk agar diffusion test was used to evaluate the antibiotic sensitivity of our isolates against 15 antibiotics, according to the guidelines of the Clinical and Laboratory Standards Institute (CLSI)  Of 183 isolates, 77 isolates (42.1% were found to be MRSA, by the PCR method. The highest antibiotic resistance was found to be against penicillin, co trimoxazole, erythromycin, and tetracycline respectively. All isolates were susceptible to vancomycin, according to the results of disk agar diffusion. Among other antibiotics, teicoplanin (84% and fusidic acid (80.5% were more active against MRSA isolates. For the different methods evaluated, the sensitivities and specificities were as follows: for disk agar diffusion (84.9% and 95.9% and for agar screening test with oxacillin concentrations of 0.6 mg/ml (70.8% and 97.4% 4 mg/ml (96.1%and 97.2% and 6 mg/ml (96% and 96.3% respectively.  The results of our study showed that 47% of S. aureus isolates were MRSA. Overall, in this research study, resistance to all test antimicrobial agents in MRSA isolates were higher than that of MSSA isolates. Our results also revealed that 85% of mecA positive isolates and 15% of mecA negative isolates were resistant to methicillin; while 96% of mecA negative isolates were sensitive to methicillin. Meanwhile 4% of mecA positive isolates were also sensitive to methicillin.
Sorption of testosterone on partially dispersed soil particles of different size fractions: Methodology and implications.
Venue: Water research

Sorption of hormones to soil particles of different size fractions (DSFs) has been studied to understand their fate and transport (F/T) in soils. Conventional studies fractionated the soil particles into DSFs by using the high speed stirring method and/or adding surfactants to fully disperse the bulk soil. However, the natural processes (e.g. soil erosion, irrigation) often are relatively mild, and many soil particles may be still in the aggregate form. In this study, a method was developed for conducting the sorption test of a representative hormone (i.e. testosterone) to bulk soils first and then analyzing the results against DSFs. Results indicated the particle size distribution (PSD) of the two representative soils tested with partially dispersed and fully dispersed methods was significantly different due to the attachment of clay particles on sand and silt. Testosterone was sorbed mainly by the dominant aggregates even though they might have relatively lower sorption affinity than that of clays. However, the small particles <2000 nm) even with ~5% mass of the bulk soil, contributed more than 30% of sorbed testosterone in the "whole" soils. The partially dispersed soil particles of DSFs should be used to understand the transport of hormone in runoff, because using the fully dispersed soil particles will overestimate while the whole soil method will underestimate the transport potential. With the methodology developed in this study, the sorption tests will not compromise soil's original properties (e.g. aggregates) or the competition (e.g. sorption) among soil particles, and the contribution of DSFs (particularly the partially dispersed aggregates) to the sorption of the "whole" soil can be determined.