nils-herrmann/clean_scirepeval huggingface dataset:
Model Extraction Oriented Data Publishing with k anonymity
Venue: IWSEC
Year: 2020

Machine learning with personal data has been successfully employed in recent years. Protecting the privacy of a given personal dataset with utilities is therefore a major subject within the privacy community. The classifier trained on an anonymized dataset typically has poorer generalization performance than the classifier trained on the original dataset. We adopt the concept of Tramer et al.'s Model Extraction attack to place models trained on anonymized datasets similar to the original model. This approach also prevents the target variable from being published as it is. Using three open datasets, we do experiments to determine how close the original model is to the model trained on a dataset constructed by our method. Particularly when using Nursery Data set, the model trained on our anonymized dataset with (k 20\ anonymity gives a model that has almost the same (95\ predictions on a given test dataset as the original model.
Hubungan antara Kecerdasan Kinestetik dengan Meniru Kegiatan Shalat Anak Usia 5 6 Tahun di TKIT Bunayya 7
Year: 2020

Rumusan masalah penelitian ini: Bagaimana kecerdasan kinestetik anak, bagaimana gerakan meniru sholat anak dan adakah hubungan antara kecerdasan kinestetik dengan meniru kegiatan sholat di Taman Kanak Kanak Islam Terpadu Bunayya 7 T.A 2019/2020. Penelitiam ini bertujuan untuk: Mengetahui kecerdasan kinestetik anak, mengetahui gerakan meniru shalat anak dan mengetahui hubungan yang signifikan antara kecerdasan kinestetik anak dengan meniru kegiatan sholat di TKIT Bunayya 7 Tahun Ajaran 2019/2020.Penelitian ini menggunakan pendekatan kuantitatif yang masuk ke dalam jenis penelitian korelasi. Populasi penelitian ini berjumlah 53 anak juga, dikarenakan jumlah populasi tidak sampai dengan 100 sehingga cara menentukan sampel memakai teknik total sampling ialah teknik yang menentukan sampel dengan memakai semua populasi. Data diperoleh uji linearitas dan uji hipotesis (menggunakan korelasi produk moment) Hasil dari penelitian ini menunjukkan bahwa nilai thitung (9,782 ttabel 1,675) Hal ini bermakna bahwa terdapat hubungan secara signifikan antara kecerdasan kinestetik dengan meniru gerakan shalat anak usia 5 6 tahun di TKIT Bunayya 7 Tahun Ajaran 2019/2020. Dengan demikian Ha diterima.
Analyzing the knowledge and attitude of nurses regarding medication error and its prophylactic ways in educational and therapeutic hospitals of Khorramabad
Year: 2009

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Choosing reverse channels under collection responsibility sharing in a closed loop supply chain with re manufacturing
Venue: J. Intell. Manuf.
Year: 2015

This paper considers a closed loop supply chain with re manufacturing consisting of retailers, manufacturers and third party logistics service providers; all participating in the product recycling responsibilities. The effectiveness of methods that can be used to share responsibilities amongst these parties is quantified using different reverse channels. First, re manufacturing models with three different reverse channels for retailer collection, manufacturer collection and third party collection are developed using collection responsibility sharing. Next, by comparing these models with the case of no collection responsibility sharing, the effectiveness of responsibility sharing is analysed and quantified. The results for the three models support the following conclusions: (i) from the point of view of the retailer, third party collection is always the worst choice; (ii) the choice between retailer collection and manufacturer collection depends on the cost parameter representing the resources required in performing the reverse collection tasks; (iii) from the point of view the manufacturer, when the value of the cost parameter is small, collection by manufacturer is the best choice; retailer collection will be best for high values of the cost parameter.
Taming the beast: Designing Alaska's longest bridge over the Tanana River
Year: 2015

With the construction of the Tanana River Bridge in Salcha, Alaska, 1 million acres of U.S. military training facilities have been connected to the rest of Alaska; it also marks the completion of the first phase of the Alaska Railroad Corporation's (ARRC) Northern Rail Extension, which creates an 80 mile rail network between the North Pole and Delta Junction. Challenges to construction of the bridge included its remoteness, its location at potentially active seismic faults, as well as wind, stream flow and debris pressures, river bed scour, sheet ice, and severe flooding. As well, temperatures range from 90degF to lows near 70degF. The project was achieved through collaboration, careful design planning, selection of the appropriate piers, overcoming logistical issues, and enabling a cold climate pour of the concrete. The long term plan is to use the bridge to support rail traffic, as well as military vehicles, and this played an important role in designing the bridge deck.
Exploring management strategies to improve maize yield and nitrogen use efficiency in northeast China using the DNDC and DSSAT models
Venue: Comput. Electron. Agric.
Year: 2019

Process based models are valuable tools for simulating crop production, estimating agronomic efficiency and developing optimum management practices to achieve sustainable agriculture. However, a comparison of the DeNitrification DeComposition (DNDC) and Decision Support System for Agrotechnology Transfer (DSSAT) models has not been previously used to optimize management practices for spring maize in northeast China. The objectives of this study were to evaluate the performance of the DSSAT and DNDC models in simulating maize growth and soil C N dynamics and analyse their weaknesses and strengths based on a 7 year spring maize study in northeast China; and to explore the optimal management practices for improving maize production and nitrogen use efficiency under 20 year climate variability. Both DNDC and DSSAT exhibited "good" to "excellent" performance in simulating maize yield, above ground biomass and plant N uptake for ecological intensification with N fertilizer (EI N) and farmers' practice with N fertilizer (FP N) treatments based on percent bias (PBIAS) of 10.5 4.2% a normalized root mean squared error (nRMSE) of 7.5 17.2% a Nash Sutcliffe efficiency (NSE) of 0.17 0.77 and a d index of agreement (d) of 0.81 0.94. Both models showed "fair" to "good" performance in the same simulation for EI without N fertilizer (EI N0) and FP without N fertilizer (FP N0) treatments, but the maize yield simulation was better for the DSSAT model. In addition, the two models provided "fair" performance for N fertilized treatments to "poor" performance for N unfertilized treatments in simulations of soil organic carbon (0 0.20 m) and mineral N (0 0.30 m) but the simulations were better for the DNDC model. Sensitivity analyses indicated that the optimum yield and agronomic efficiency were achieved at a planting date of late April to early May, a fertilizer N application rate of 180 210 kg N ha 1 with two timing splits in the DNDC and DSSAT model and a planting density of 7 seeds m 2 in the DSSAT model. This study suggests that comparing the management scenarios of multiple dynamic models is more beneficial to develop best management practices for improving crop production and fertilizer use efficiency.
An Efficient Trimming Algorithm based on Multi Feature Fusion Scoring Model for NGS Data
Venue: IEEE/ACM Transactions on Computational Biology and Bioinformatics
Year: 2020

Next generation sequencing (NGS) has enabled an exponential growth rate of sequencing data. However, several sequence artifacts, including error reads (base calling errors and small insertions or deletions) and poor quality reads, which can impose significant impact on the downstream sequence processing and analysis. Here, we present PE Trimmer, a sensitive and special trimming algorithm for NGS sequence. First, PE Trimmer removes technical sequences in paired end reads based on the characteristics of low quality reads in NGS data. Second, PE Trimmer determines the range of reads that need to be trimmed according to the quality score statistics histogram of reads in the library. To improve the accuracy of this algorithm, we design a light weight and easy to explain scoring model to evaluate candidates in the pattern of trimming step. Finally, PE Trimmer selects the appropriate trimming strategy to process the low quality reads based on the location determined by the scoring model. PE Trimmer is able to locate and remove adapter residues from the paired end reads. It is easily configurable and offers superior throughput in the multi threaded mode. We test PE Trimmer on five datasets, and compare it with the current five latest methods. The experimental results demonstrate that PE Trimmer produces more superior results, compared with other trimmers.
Design an Intelligent System to automatically Tutor the Method for Solving Problems
Year: 2020

Nowadays, the intelligent system is an emerging trend for the technological application  The chatbot is a piece of software which can communicate to the user through audio or text  An intelligent chatbot using artificial intelligent technologies helps users to complete specific tasks by detecting user purpose from text or voice conversations. Moreover, the chatbot can be used to tutor the user how to solve problems. In that case, with inputted problems from the user, it will be an instructor to guide or give some tips for solving them. Beside the requirement of a user interface Abstract: Nowadays, intelligent systems have been applied in many real word domains. The Intelligent chatbot is an intelligent system, it can interact with the human to tutor how to work some activities. In this work, we design an architecture to build an intelligent chatbot, which can tutor to solve problems, and construct scripts for automatically tutoring. The knowledge base of the intelligent tutoring chatbot is designed by using the requirements of an Intelligent Problem Solver. It is the combination between the knowledge model of relations and operators, and the structures of hint questions and sample problems, which are practical cases. Based on the knowledge base and tutoring scripts, a tutoring engine is designed. The tutoring chatbot plays as an instructor for solving real world problems. It simulates the working of the instructor to tutor the user for solving problems. By utilizing the knowledge base and reasoning, the architecture of the intelligent chatbot are emerging to apply in the real world. It is used to build an intelligent chatbot to support the learning of high school mathematics and a consultant system in public administration. The experimental results show the effectiveness of the proposed method in comparison with the existing systems.
Impact of information technology innovation on firm performance in Kenya
Venue: Inf. Technol. Dev.
Year: 2020

Information communication technology (ICT) is driving modern employment creation with networking sites enabling people to interact through innovation. However, ICT uptake and implementation differ due to moderating factors such as entrepreneur innovativeness, which enhances how technology innovation impacts organizational performance. This study examines the association between technology innovation and firm performance in Kenya by considering the impact of entrepreneur innovativeness on this association. A sample of 240 enterprises and structural equation modeling were used in the analysis. The findings indicate that technology innovation influences firm performance positively. The study recommends that entrepreneurs should develop innovative strategies to actualize firm performance. Government policy should aim at improving ICT infrastructure; promoting small and medium sized enterprises' (SMEs' technological externalities within the industry, and establishing ICT resource centers to support SME performance. The study's findings enrich existing theories and contribute to business management practices in both developed and developing countries.
Coopetition, Cooperation and Competition as Determinants of Companies' Appropriation Strategies
Year: 2013

In this article, we investigate how a company's coopetition (collaboration with competitors) cooperation and competition strategies influence its usage of formal and informal intellectual property (IP) appropriation mechanisms. In addition to firm characteristics and sector variables as predictors for appropriation methods used in previous studies, we disentangle coopetition, cooperation and competition as further determinants for a firm's use of these instruments. Until now, research has not investigated the effects a company's cooperation with its competitors has on the tendency to use formal (legally protected IP rights e.g. patents, trademarks, etc. or informal (e.g. secrecy, lead time) appropriation mechanisms. This leads to substantial model uncertainty, which we tackle by using Bayesian Model Averaging (BMA) We analyze firm level innovation survey data including the coopetition orientation of 1,879 German companies. We find that coopetition, cooperation breadth, price and technology competition associate with informal appropriation strategies, while in contrast, cooperation depth and a competitive strategy relying on design associate with the use of formal appropriation mechanisms. Thus, we contribute to existing research by providing first exploratory results of coopetition, cooperation and corporate strategies as determinants for a firm's implementation of specific appropriation mechanisms. Our findings have implications for management and research. We find that companies should strive for IP appropriation strategies that are well aligned with their choice of cooperation and competition strategies as this facilitates value capturing from innovation.
Ultra high sensitivity, low power dual chopper signal conditioning circuit for integrated sensors
Venue: 2016 14th IEEE International New Circuits and Systems Conference (NEWCAS)
Year: 2016

An ultra high sensitivity, low power dual chopper amplifier (DCA) for the signal conditioning of capacitive and voltage mode microelectromechanical systems (MEMS) transducers is presented. The input referred noise and input parasitic capacitance are minimized to increase the sensitivity for femto Farad range capacitive transducers. The circuit is designed in a 0.13 mm CMOS technology with a 1.2 V supply. The simulated power consumption is 8.4 mW, the gain is 47 dB, and the bandwidth is 10.5 kHz. The input referred capacitance noise floor is 0.0033 aF/Hz for a 100 fF capacitive sensor.
[Natural ocurrence of entomopathogenic fungi in soils cultivated with Paraguay tea (Ilex paraguariensis St. Hil. in Misiones, Argentina]
Venue: Revista Argentina de microbiologia
Year: 2015

This study aimed to morphologically isolate, identify and characterize entomopathogenic fungi present in soils cultivated with Paraguay tea (Ilex paraguariensis) A survey of native entomopathogenic fungi was conducted from 40 soil samples grown with Paraguay tea in the province of Misiones, Argentina, from May 2008 to June 2010. The soil dilution plate methodology on selective culture media was used to isolate microorganisms. Taxonomic identification was performed using macroscopic and microscopic characters and specific keys. Twenty nine strains, belonging to the species Beauveria bassiana (n 17) Metarhizium anisopliae (n 2) and Purpureocillium lilacinum (n 10) were isolated and identified.
Good features to track for visual SLAM
Venue: 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Year: 2015

Not all measured features in SLAM/SfM contribute to accurate localization during the estimation process, thus it is sensible to utilize only those that do. This paper describes a method for selecting a subset of features that are of high utility for localization in the SLAM/SfM estimation process. It is derived by examining the observability of SLAM and, being complimentary to the estimation process, it easily integrates into existing SLAM systems. The measure of estimation utility is formulated with temporal and instantaneous observability indices. Efficient computation strategies for the observability indices are described based on incremental singular value decomposition (SVD) and greedy selection for the temporal and instantaneous observability indices, respectively. The greedy selection is near optimal since the observability index is (approximately) submodular. The proposed method improves localization and data association. Controlled synthetic experiments with ground truth demonstrate the improved localization accuracy, and real time SLAM experiments demonstrate the improved data association.
Effects of natural disturbances and salvage logging on biodiversity Lessons from the Bohemian Forest
Year: 2017

Severe natural disturbances are common in many forest ecosystems, particularly in the Northern Hemisphere. Attempts to minimize their effects through forest management include salvage logging. In the Bohemian Forest, one of Central Europe's largest continuous forests, windstorms and bark beetle outbreaks have affected stands of Norway Spruce for centuries. Over the past decades, these natural disturbances and their management in the Bavarian Forest National Park and the adjacent Sumava National Park in the central part of the Bohemian Forest have been scientifically studied. Owing to a benign neglect strategy, both windstorms and bark beetle outbreaks have increased stand structural heterogeneity, the amount of dead wood and light availability, which contribute to increased populations of nearly extinct forest specialists. However, the response of a particular taxonomic group or species strongly depends on its relationship to specific legacies that persist after disturbances. Stand climate but not dead wood appears to greatly influence the diversity of epigeal bryophytes, whereas both factors determine the diversity of epixylic bryophytes. Both the amount and heterogeneity of dead wood seems to be more important than stand climate in determining assemblages of wood inhabiting fungi and lichens. To reduce the population density of bark beetles in the management zones of both national parks, storm felled spruces are salvage logged, which alters a variety of these legacies and natural successional pathways. Consequently, the numbers of species of wood inhabiting fungi, saproxylic beetles and epixylic lichens are reduced. Natural levels of biodiversity in salvage logged areas can be preserved by (1) preserving root plates of storm felled trees with partly retained trunks; (2) avoiding soil disturbance by using cable yarding instead of harvesters; (3) retaining sun exposed dry branches of storm felled trees and snags of beetle killed spruces; (4) avoiding logging damage of natural regeneration and of large trees that survive disturbances; and (5) bark scratching instead of debarking to avoid bark beetle outbreaks while maintaining biodiversity. Windstorms and bark beetle outbreaks could be utilized to restore intensely managed forests of Central Europe to their natural composition and structure. Furthermore, experimentally mimicked natural disturbances might help in gaining a mechanistic understanding of how natural disturbances affect biodiversity.
First Eyetracking Results of Dutch CoronaMelder Contact Tracing and Notification App
Venue: IHCI
Year: 2020

The coronavirus disease (COVID 19) has led to a global pandemic Many countries are using contact tracing as one of the interventions to control virus transmission In conventional contact tracing, index cases with positive test results are asked to provide contact information of close contacts who were at risk of acquiring infection from the index case, within a given time period before the positive test result Mobile contact tracing apps can augment traditional contact tracing, as they exchange contact information wirelessly and semi automatically, and allow for quicker warning of at risk contacts However, little is known about user acceptance and perception of such contact tracing apps, or how people perceive the advice presented therein In July 2020, the beta version of the official Dutch corona notification app was usability tested with participants from various age groups This paper presents the results of the objective eye tracking measurements executed during these usability tests The results show that both health and process related information is easily overlooked in the app by participants A closed loop contact with the builders of the app allowed for a direct feedback channel and quick improvements during the development stage (c) 2021,
Faculty Development by Design: Integrating Technology in Higher Education
Year: 2006

Acknowledgments. Editor's Preface. Communities of Designers: A Brief History and Introduction, Punya Mishra, Matthew J. Koehler, and Yong Zhao. Infusing Technology in Teacher Education: How  Cheryl L. Rosaen and Sharon Hobson.  A Quest to Design Interactive Contexts for Exploring Children's Responses to Literature, Laura Apol and Sheryl Rop.  The Integration of Video Technology in an English Methods Course, Leslie David Burns and Stephen Koziol. The Technology and Literacy Project: Crossing Boundaries to Conceptualize the New Literacies, Dorothea Anagnostopoulos, Jory Brass, and Dipendra Subedi.  Engaging Maps and Social Science Data as Narratives About the World, Avner Segall and Bettie Landauer Menchik. Collaborative Development of Technology Based Social Studies Materials, Timothy H. Little.  The Inner and Outer Journeys of Learning to Develop Online Learning, John M. Dirkx. A Faculty Member's Journey in Using Technology to Enhance Learning,  Integrating Technology Through Community Based Design, Martin Oliver. Communities of Designers: Transforming a Situation Into a Unified Whole, Bertram "Chip" Bruce. About the Authors.