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Measuring neural efficiency of program comprehension

Janet Siegmund, Norman Peitek, Chris Parnin, Sven Apel, Johannes Hofmeister, Christian Kästner, Andrew Begel, Anja Bethmann, André Brechmann
2017 Proceedings of the 2017 11th Joint Meeting on Foundations of Software Engineering - ESEC/FSE 2017  
We found evidence of semantic chunking during bottom-up comprehension and lower activation of brain areas during comprehension based on semantic cues, confirming that beacons ease comprehension.  ...  Instead, programmers must rely on a set of cognitive processes that aid in seeking, filtering, and shaping relevant information for a given programming task.  ...  ACKNOWLEDGMENTS We thank Anke Michalsky, Andreas Fügner, and Jörg Stadler for fMRI data acquisition and all participants of our pilot studies and the fMRI study.  ... 
doi:10.1145/3106237.3106268 dblp:conf/sigsoft/SiegmundPPAHKBB17 fatcat:l737ucr34zdlncnakgkainezhu

Page 1015 of The Journal of the Operational Research Society Vol. 47, Issue 8 [page]

1996 The Journal of the Operational Research Society  
Lovett (1990) Measuring cost efficiency in banking: econometric and linear programming evi- dence. J. Econometrics 46, 229-245.  ...  RHopes (1978) Measuring the efficiency of decision making units. Eur. J. Opl Res. 17, 35-44. 2 R. Fare, S. GRosskopF and K. Love. (1985) The Measurement of Efficiency of Production.  ... 

Compensated Fuzzy Neural Network-Based Music Teaching Ability Assessment Model

Xu Chen, Syed Hassan Ahmed
2021 Computational Intelligence and Neuroscience  
Based on this, this paper firstly analyzes the necessity of music teaching ability assessment and briefly summarizes the application of neural network and deep learning technology in music teaching ability  ...  assessment and secondly designs an assessment model based on compensated fuzzy neural network algorithm and analyzes the accuracy of the model, finds out the causes of forming abnormal output by analysing  ...  , indicating that the scale used in this study is suitable for measuring the assessment efficiency of the music teaching assessment model in colleges and universities.  ... 
doi:10.1155/2021/3865190 pmid:34621308 pmcid:PMC8492262 fatcat:sr4r254r7ben7amtraslthsj6a

Water Resources Allocation Effect Evaluation Based on Chaotic Neural Network Model

Xianfeng Huang, Guohua Fang
2010 Journal of Computers  
Aiming at the problems such as peoples' influence, the poor objectivity and comparability of traditional evaluation methods, a chaotic neural network comprehensive evaluation model is established, coupled  ...  the ergodicity characteristic of chaotic motion with the neural network.  ...  ACKNOWLEDGMENT The authors wish to thank two post-graduates, Tianxiang GUO, Yasen ZHOU of Hohai University and Yinqin CHEN of Nanjing University of Technology for their careful review and constructive  ... 
doi:10.4304/jcp.5.8.1169-1176 fatcat:gx6gcdkuhfex7k3nivfadszkva

Brain Activity Measurement during Program Comprehension with NIRS

Yoshiharu Ikutani, Hidetake Uwano
2014 International Journal of Networked and Distributed Computing (IJNDC)  
In this paper, we measure the effects of variables and controls in a source code on brain activity during program comprehension.  ...  Near infrared spectroscopy (NIRS) has been used as a low cost, noninvasive method to measure brain activity.  ...  Acknowledgments Part of this work was supported by JSPS KAKENHI Grant-in-Aid for Young Scientists (B) Grant Number 24700038.  ... 
doi:10.2991/ijndc.2014.2.4.7 fatcat:dlwhjlm7qzbhplyyodrlqp32mu

Brain activity measurement during program comprehension with NIRS

Yoshiharu Ikutani, Hidetake Uwano
2014 15th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD)  
In this paper, we measure the effects of variables and controls in a source code on brain activity during program comprehension.  ...  Near infrared spectroscopy (NIRS) has been used as a low cost, noninvasive method to measure brain activity.  ...  Acknowledgments Part of this work was supported by JSPS KAKENHI Grant-in-Aid for Young Scientists (B) Grant Number 24700038.  ... 
doi:10.1109/snpd.2014.6888727 dblp:conf/snpd/IkutaniU14 fatcat:mobenooyuzghxpxszyan2nnl4y

Optimization of Composite Material Barrel Based on BP Neural Network Approximate Analysis

Xu Yadong, Li Yao, Chen Yu, L. Zhang
2016 MATEC Web of Conferences  
The results showed that the BP neural network approximate model was effective and reliable, and the optimization efficiency was improved obviously. a Corresponding  ...  The approximate analysis model was established for the composite material barrel by using BP neural network model.  ...  BP neural network computing program.  ... 
doi:10.1051/matecconf/20178802008 fatcat:e6tfaid6hrf5pdkujxhrhanycy

Reading acceleration training changes brain circuitry in children with reading difficulties

Tzipi Horowitz-Kraus, Jennifer J. Vannest, Darren Kadis, Nicole Cicchino, Yingying Y. Wang, Scott K. Holland
2014 Brain and Behavior  
However, the effect of the RAP on the neural circuitry of reading has not been established.  ...  may stimulate use of typical neural circuits for reading and engage compensatory pathways to support reading in the developing brain of children with reading difficulties. 886  ...  Test of Nonverbal Intelligence -3rd edition; TOWRE-II; Test of Word Reading Efficiency -2nd edition; RAP, Reading Acceleration Program; GORT-IV, Gray Oral Reading Test -4th edition; CTOPP-2, Comprehensive  ... 
doi:10.1002/brb3.281 pmid:25365797 pmcid:PMC4178249 fatcat:wrru6wheebf6jmgrrwnyeqaowu

A Research of Cement Energy-Saving KM System Based on CBR and BP Neural Network

An Ji-Yu, Zhu Xiao-Hui, Ma Yong-Qiang
2013 Sensors & Transducers  
Inside the cement companies, the efficient and comprehensive management is come from the encoded data with a high degree of structure.  ...  The level of enterprise knowledge management is becoming an important means to measure their competitiveness.  ...  Inside the cement companies, the efficient and comprehensive management is come from the encoded data with a high degree of structure.  ... 
doaj:3b847f3c193e4debba570fb17623c00c fatcat:mq2xpo2y4jbpfli5ivrc2pvy5y

Dynamics of Neural Networks and Applications in Optimization

Huaiqin Wu, Wei Bian, Qintao Gan, Ramachandran Raja
2014 Mathematical Problems in Engineering  
an efficient algorithm, which is based on the neural network approach for nonlinear programming problems.  ...  It is certainly impossible to provide in this short editorial a more comprehensive description for all articles in this special issue.  ...  All the participants have made it possible to have a very stimulating interchange of ideas.  ... 
doi:10.1155/2014/787102 fatcat:zk365aptcffdpasjb46hocqqwa

Social and Infrastructural Conditioning of Lowering Energy Costs and Improving the Energy Efficiency of Buildings in the Context of the Local Energy Policy

Maria Mrówczyńska, Marta Skiba, Anna Bazan-Krzywoszańska, Dorota Bazuń, Mariusz Kwiatkowski
2018 Energies  
The main problem in creating successful efficiency improvement policies is adjusting objectives to local development programs, dependent on public awareness.  ...  An analysis model is presented of social-infrastructure conditions of energy costs reduction and buildings' efficiency improvement.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/en11092302 fatcat:fej6jgkobvaijfq6ltarwmboou

Improved Mild Closed Head Traumatic Brain Injury Outcomes With a Brain-Computer Interface Amplified Cognitive Remediation Training

Curtis T Cripe, Rebecca Cooper, Peter Mikulecky, Jason H Huang, Dallas C Hack
2021 Cureus  
This study is a retrospective chart review of 200 clients who participated in a non-verbal restorative cognitive remediation training (rCRT) program between 2012 and 2020.  ...  The program was applied to effect proper neural functional remodeling needed to support resilient, flexible, and adaptable behaviors after encountering a mild closed head traumatic brain injury (mTBI).  ...  White matter (WM) substructures of these networks and the efficiency of neural network hub connections (nodal connections within neural networks) demonstrate significant relationships with behavioral performance  ... 
doi:10.7759/cureus.14996 pmid:34007777 pmcid:PMC8121126 fatcat:4sztciu5bfg57c5jfhvcyjewfm

A Comprehensive Evaluation Approach Based on AHP-BP Neural Network for Resource Allocation in Distributed Satellite Cluster Network

Xu-dong ZHONG, Yuan-zhi HE
2017 DEStech Transactions on Computer Science and Engineering  
To solve the multi-index evaluation problem, a comprehensive evaluation approach based on analytic hierarchy process and back-propagation (AHP-BP) neural network is proposed.  ...  of the resource.  ...  Acknowledgement This research was financially supported by the National Natural & Science Foundation of China under grant (No. 61231011. 91338021).  ... 
doi:10.12783/dtcse/wcne2016/5095 fatcat:m3nogphttbaxlpsmhft5nc4siq

Page 100 of Female Patient Vol. 12, Issue 10 [page]

1987 Female Patient  
AFP screening increases the potential efficiency of prenatal diagnosis to approxjmately 80% of the cases of open neural tube defects and 40% of cases of Down syndrome.  ...  Therefore, it is necessary to offer this test within the context of a comprehensive program that includes close cooperation with local health care providers, laboratory quality control, adequate patient  ... 

Improving the Standard for Deep Brain Stimulation Therapy: Target Structures and Feedback Signals for Adaptive Stimulation. Current Perspectives and Future Directions

Franz Hell, Thomas Köglsperger, Kai Boetzel
2018 Cureus  
Additional Information Disclosures Conflicts of interest: In compliance with the ICMJE uniform disclosure form, all authors declare the following: Payment/services info: All authors have declared that  ...  A large-scale comprehensive and standardized dataset incorporating behavioural, as well as neural measurements, could help in developing such models. Hell et al. Cureus 10(4): e2468.  ...  establish a comprehensive data basis.  ... 
doi:10.7759/cureus.2468 pmid:29900088 pmcid:PMC5997423 fatcat:tltslrm7wvex5dpigeupdysd2y
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