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1Top Finance and Accounting Firms in Germany
Streamline your finances with professional support services in Germany. Get started now.
25 days ago by @mandlitech
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Finance
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support
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1eCommerce Business Outsourcing Services in UK
Make your eCommerce business thrive in the UK with professional outsourcing services. Save costs and focus on growth. Reach out now!
25 days ago by @mandlitech
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Ecommerce
Outsourcing
Services
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EcommerceOutsourcingServicesSupport
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1outsource logistics support services in UK
Optimize your operations with reliable accounting services in the UK. Reach out for a consultation!
25 days ago by @mandlitech
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Accounting
Finance
Services
Support
UK
and
in
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1Finance and Accounting Support Services in USA
Looking for unmatched Finance and Accounting Support in the USA? Mandli Technologies is your go-to partner for reliable services.
25 days ago by @mandlitech
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Finance
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USA
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1Bookkeeping Outsourcing Services In USA
Streamline your finances with Mandli Technologies, the leading provider of Accounting and Bookkeeping Services in the USA. Take charge now!
25 days ago by @mandlitech
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Bookkeeping
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USA
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in
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1Best Tax Preparation Services in USA
Simplify your tax season with Mandli Technologies, the premier provider of outsourcing services for tax preparation in the USA. Contact us now!
25 days ago by @mandlitech
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Preparation
Services
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Tax
USA
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1Antiques Website Support and Maintenance for location: Horsham, Petworth, West Sussex, Crawley, London, New Zealand, Switzerland
Get 24/7 website support and maintenance to showcase your antiques dealers or antique shops/warehouses online wherever they are located in Horsham, Petworth, Crawley, West Sussex, East Sussex, Surrey, Hampshire, London, New Zealand, Switzerland. Our web support service can include technical support, website hosting, email hosting, domain name registrations, etc.
28 days ago by @webdesignant
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Maintenance
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Website
and
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1Unlocking Well-being: Navigating the Depths of Psychosocial Recovery Services
Psychosocial recovery services, a vital facet of NDIS offerings, extend a lifeline to individuals grappling with psychosocial disabilities. These services, orchestrated by NDIS disability service providers like Hi-Five, go beyond mere support — they foster empowerment, resilience, and social integration. In this discourse, we delve into the nuances of psychosocial disabilities, elucidate the role of trusted support coordination teams, and underscore the indispensable nature of psychosocial recovery services.
2 months ago by @hifive
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NDIS
Provider,
Service
coordination,
disability
house,
manager,
my
plan
respite
services
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trusted
werribee,
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1Check out IT Support and Consulting Services for Small Businesses
Looking for IT consulting services? Contact SorceTek Technology Group; they help your businesses to improve technology to reach their business goals. Visit their website today!
3 months ago by @sorcetek
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consulting
development
firm
firms,
it
service,
software
support
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1Dear Google Cloud: Your Deprecation Policy is Killing You | by Steve Yegge | Medium
https://steve-yegge.medium.com/dear-google-cloud-your-deprecation-policy-is-killing-you-ee7525dc05dc
6 months ago by @bshanks
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google
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1-XX:[+|-]UseContainerSupport - IBM Documentation
The following table shows the values that are used when -XX:+UseContainerSupport is set: Less than 1 GB 50% <size> 1 GB - 2 GB <size> - 512 MB Greater than 2 GB 75% <size> The default heap size is capped at 25 GB The default heap size for containers takes affect only when the following conditions are met: The application is running in a container environment. The memory limit for the container is set. The -XX:+UseContainerSupport option is set, which is the default behavior.
10 months ago by @jil
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java
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1Issue 5 • Oct.-2022
IEEE Transactions on Learning Technologies
a year ago by @ereidt
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journal
learninganalytics
learningdesign
learningtechnologies
papers
professionallearning
situatedpractice
support
workplacelearning
journallearninganalyticslearningdesignlearningtechnologiespapersprofessionallearningsituatedpracticesupportworkplacelearning
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1Human-centered AI: how can we support lay users to understand AI?
Invited talk by Katrien Verbert at NEC Laboratories Europe on Oct. 24, 2022
a year ago by @ereidt
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artificialintelligence
evaluation
human-centred
learninganalytics
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research
slideshare
support
usecase
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1Edutech_Europe Keynote Presentation: Implementing learning analytics and learning design at scale
This keynote by Bart Rienties on Oct. 06, 2022 will help you: -Understand where to start with learning analytics -Understand how to effectively support your staff to use data -Critically review whether learning analytics is something for your organisation
2 years ago by @ereidt
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OU
effectiveness
highered
implementation
learninganalytics
learningdesign
organization
slideshare
staff
support
OUeffectivenesshigheredimplementationlearninganalyticslearningdesignorganizationslidesharestaffsupport
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1How to support students to feel valued and understood in an increasingly digital world. | Wonkhe
Sunday Blake dives into the latest in learning analytics and engagement data, and asks how universities can act upon it to make our interactions with students more human.
2 years ago by @ereidt
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data
digitalisation
engagement
evaluation
interaction
learninganalytics
practice
students
support
university
datadigitalisationengagementevaluationinteractionlearninganalyticspracticestudentssupportuniversity
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1Embedding Learning Analytics in a University: Boardroom, Staff Room, Server Room, Classroom
By Simon Buckingham Shum on July 31st, 2022
2 years ago by @ereidt
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ecosystem
edtech
highered
integration
learninganalytics
paper
practice
resources
staff
support
tools
university
ecosystemedtechhigheredintegrationlearninganalyticspaperpracticeresourcesstaffsupporttoolsuniversity
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1[publication] MOOCs, Learning Analytics and OER: An Impactful Trio for the Future of Education
e-Learning Blog | Juli 27, 2022 by Martin Ebner
2 years ago by @ereidt
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MOOC
OER
highered
impact
innovation
learninganalytics
onlinelearning
paper
support
MOOCOERhigheredimpactinnovationlearninganalyticsonlinelearningpapersupport
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1Knight – Künstliche Intelligenz für die Lehre
21.06.2022 Im Projekt Knight erforscht die Hochschule für Technik Stuttgart den Einsatz von Learning Analytics und künstlicher Intelligenz in der Lehre. Untersucht wird, wie Lernprozesse automatisiert unterstützt werden können, KI in der Lehre verankert werden kann, aber auch wie die Lehrenden von administrativen Aufgaben entlastet werden können.
2 years ago by @ereidt
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artificialintelligence
e-teaching
education
implementation
institution
learninganalytics
staff
support
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1AI in Education: Pedagogy first - providing personalised learning | Jisc
As part of our mini-series Podcast in AI in Education: Pedagogy first, senior AI specialist Tom Moule speaks with Scott Hayden from Basingstoke College of Technology about they are using AI to support personalised learning.
2 years ago by @ereidt
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Jisc
artificialintelligence
education
learninganalytics
pedagogy
personalizedlearning
podcast
support
Jiscartificialintelligenceeducationlearninganalyticspedagogypersonalizedlearningpodcastsupport
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1students & researchers (Test 2) — Writefull
Get the best language feedback and big data widgets. Writefull's AI language models have been trained on millions of journal articles.
2 years ago by @hotho
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AI
researchers
support
tool
writing
AIresearcherssupporttoolwriting
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1Collective Bargaining and Employee Prosocial Behaviour in the Hospitality Sector in Port Harcourt
H. Nsirim. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 8 (1): 737-746 (February 2021)
a month ago by @ijtsrd
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Bargaining,
Behavior,
Co-Worker
Collective
Employee
Prosocial
Support
Volunteering,
Whistleblowing,
Bargaining,Behavior,Co-WorkerCollectiveEmployeeProsocialSupportVolunteering,Whistleblowing,
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1Effectiveness of Basic Life Support Training on Knowledge among Nursing Students
P. Tiwari. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 7 (4): 977-979 (August 2023)
6 months ago by @ijtsrd
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Basic
Effectiveness,
Knowledge,
Nursing
life
students
support
training,
BasicEffectiveness,Knowledge,Nursinglifestudentssupporttraining,
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1An Individualized Recommendation and Promotional System for Tourist Attractions
S. R. CENTRAL ASIAN JOURNAL OF THEORETICAL AND APPLIED SCIENCE, 4 (5): 64-84 (May 2023)
7 months ago by @centralasian_20
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(SA),
,
Analysis
Based-Filtering
Engine,
Feedback,
Machine
Recommendation
Sentiment
Suggestion
Support
Tourist,
Vector
(SA),,AnalysisBased-FilteringEngine,Feedback,MachineRecommendationSentimentSuggestionSupportTourist,Vector
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1Problems of Development of the Process of Organization of Construction Production
S. |. International Journal of Innovative Analyses and Emerging Technology, 3 (2): 15-17 (January 2023)
7 months ago by @openaccess_20
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activities
activities,
approaches
business
construction
entities
industry,
management
normative
of
organization
planning
production
production,
support
the
to
activitiesactivities,approachesbusinessconstructionentitiesindustry,managementnormativeoforganizationplanningproductionproduction,supporttheto
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1Leukemia Cancer Cells Segmentation and Classification Using Machine Learning
A. Visalaxi. International Journal of Innovative Analyses and Emerging Technology, 3 (1): 19-36 (January 2023)
7 months ago by @openaccess_20
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Artificial
Clustering,
Convolutional
Deep
Embedded
Image,
Machine,
Magnetic
Network
Network,
Neural
Resonance
Support
Vector
ArtificialClustering,ConvolutionalDeepEmbeddedImage,Machine,MagneticNetworkNetwork,NeuralResonanceSupportVector
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1Potporne građevine i građevne jame
T. Roje-Bonacci. Građevinsko-arhitektonski fakultet ; IGH, Split, Zagreb, (2005)OCLC: 444549711.
8 months ago by @glonga
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(2005)
Construction
Pit
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Support
(2005)ConstructionPitStructureSupport
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1Artificial Intelligence Based Stock Market Prediction Model using Technical Indicators
M. Bagade. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 7 (2): 1026-1033 (April 2023)
9 months ago by @ijtsrd
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%R(WPR),
(CCI),
(EMA),
(LSTM),
(MA),
(MACD),
(MOM)
(ROC),
(RSI),
(SO),
(STIs),
(SVM),
Average
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Change
Channel
Commodity
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Exponential
Index
Indicators
Long
Machine
Momentum
Moving
Oscillator
Rate
Relative
Short-Term
Stochastic
Stock
Strength
Support
Technical
Vector
William
memory
of
%R(WPR),(CCI),(EMA),(LSTM),(MA),(MACD),(MOM)(ROC),(RSI),(SO),(STIs),(SVM),AverageAveragesChangeChannelCommodityConvergenceDivergenceExponentialIndexIndicatorsLongMachineMomentumMovingOscillatorRateRelativeShort-TermStochasticStockStrengthSupportTechnicalVectorWilliammemoryof
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1Segmentation and Classification for Hyperspectral Imaging of Foot Inspection in Vascular and Neuro Images
D. S. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 7 (1): 1114-1122 (February 2023)
10 months ago by @ijtsrd
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(KNN),
(SVM),
Algorithm
Decision
K-nearest
Learning,
Machine
Neighbors
Support
Tree
machine
vector
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1Application of Deep Learning for Early Detection of Covid 19 using CT scan Images
D. S. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 7 (1): 1106-1113 (February 2023)
10 months ago by @ijtsrd
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(KNN),
(SVM),
Algorithm
Decision
K-nearest
Learning,
Machine
Neighbors
Support
Tree
machine
vector
(KNN),(SVM),AlgorithmDecisionK-nearestLearning,MachineNeighborsSupportTreemachinevector
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1Analysing the Performance of Support Vector Machine Algorithm in Predicting Parkinson’s Disease
Revathi. International Journal of Innovative Research in Information Security, 09 (2): 50-54 (May 2023)1. Muhlenbach, F. and Rakotomalala, R. (2015), “Discretization of Continuous Attributes,” In: Wang, J., Ed., Encyclopedia of Data Warehousing and Mining, Idea Group Reference, 397-402. https://doi.org/10.4018/978-1-59140-557-3.ch076 2. M. Liu, D. Zhang, and D. Shen, “Relationship induced multi- 52 template learning for diagnosis of alzheimer’s disease and mild cognitive impairment,” IEEE transactions on medical imaging, vol. 35, no. 6, p. 1463—1474, (2016). https://doi.org/10.1109/tmi.2016.2515021 3. Abdullah Caliskan, Hasan Badem, A. Baştürk, M.E. Yüksel, “Diagnosis Of The Parkinson Disease By Using Deep Neural Network Classifier”, Journal Of Electrical And Electronics Engineering, (2017):3311-3318 4. M. Abdar and M. Zomorodi-Moghadam, “Impact of Patients’ Gender on Parkinson’s disease using Classification Algorithms” Journal of AI and Data Mining, vol. 6, (2018). 5. Sleigh, J.W.; Olofsen, E.; Dahan, A.; de Goede, J.; Steyn-Ross, A. Entropies of the EEG: The effects of general anaesthesia. In Proceedings of the 5th International Conference on Memory, Awareness and Consciousness, New York, NY, USA, 1–3 June (2019) 6. Tsuda, M., Asano, S., Kato, Y., Murai, K., and Miyazaki, M. (2020). Differential diagnosis of multiple system atrophy with predominant parkinsonism and Parkinson's disease using neural networks. J. Neurol. Sci. 401, 19–26. https://doi.org/10.1016/j.jns.2019.04.014 7. Tysnes, O.-B., and Storstein, A. (2021). Epidemiology of Parkinson's disease. J. Neural Trans. 124, 901–905. https://doi:10.1007/s00702-017-1686-y 8. Parkinson J. An Essay on the Shaking Palsy. London: Sherwood, Neely, and Jones; 1817. pp. 1–16. Google Scholar 9. Twelves D, Perkins KS, Counsell C. Systematic review of incidence studies of Parkinson’s disease. Mov Disord. 2003;18:19–31. PubMed Google Scholar 10. National Institute for Health and Care Excellence (NICE) Parkinson’s disease: diagnosis and management in primary and secondary care. NICE clinical guidelines 35. Jun, 2006. Available https://doi.org/10.1136/heartjnl-2022-321095 http://www.nice.org.uk/guidance/cg35/resources/guidance-parkinsons-disease-pdf. Accessed April 28, 2015. 11. Schrag A, Horsfall L, Walters K, et al. Prediagnostic presentations of Parkinson’s disease in primary care: a case-control study. Lancet Neurol. 2015; PubMed Google Scholar https://doi.org/10.1016/s1474-4422(14)70287-x 12. Parkinson’s Disease Foundation Statistics on Parkinson’s. Available at: www.pdf.org.en/parkinson_statistics Accessed June 19, 2014. 13. Driver JA, Logroscino G, Gaziano JM, et al. Incidence and remaining lifetime risk of Parkinson disease in advanced age. Neurology. 2009;72:32–38. PMC free article PubMed Google Scholar https://doi.org/10.1212/01.wnl.0000341769.50075.bb 14. De Lau LM, Breteler MM. Epidemiology of Parkinson’s disease. Lancet Neurol. 2006;5:525–535. PubMed Google Scholar 15. Miller IN, Cronin-Golomb A. Gender differences in Parkinson’s disease: clinical characteristics and cognition. Mov Disord. 2010;25:2695–2703. PMC free article PubMed Google Scholar https://doi.org/10.1002/mds.23388 16. Rumayor MA, Arrieta O, Sotelo J, et al. Female gender but not cigarette smoking delays the onset of Parkinson’s disease. Clin Neurol Neurosurg. 2009;PubMed Google Scholar https://doi.org/10.1016/j.clineuro.2009.07.012 17. Gómez-Esteban JC, Zarranz JJ, Lezcano E, et al. Influence of motor symptoms upon the quality of life of patients with Parkinson’s disease. Eur Neurol. 2007;57:161–165. PubMed Google Scholar https://doi.org/10.1159/000098468 18. Pennington S, Snell K, Lee M, et al. The cause of death in idiopathic Parkinson’s disease. Parkinsonism Relat Disord. 2010;16:434–437. PubMed Google Scholar https://doi.org/10.1016/j.parkreldis.2010.04.010 19. Jankovic J, Poewe W. Therapies in Parkinson’s disease. Curr Opin Neurol. 2012; PubMed Google Scholar 20. Smith Y, Wichmann T, Factor SA, DeLong MR. Parkinson’s disease therapeutics: new developments and challenges since the introduction of levodopa. Neuropsycho pharmacology. 2012;PMC free article PubMed Google Scholar https://doi.org/10.1038/npp.2011.212 21. Simonson W, Hauser RA, Schapira AHV. Role of the pharmacist in the effective management of wearing-off in Parkinson’s disease. Ann Pharmacother.2007; PubMed Google Scholar https://doi.org/10.1345/aph.1k348 22. Van der Marck MA, Bloem BR, Borm GF, et al. Effectiveness of multidisciplinary care for Parkinson’s disease: a randomized, controlled trial. Mov Disord. 2013;PubMed Google Scholar https://doi.org/10.1002/mds.25194 23. Zhou C, Huang Y, Przedborski S. Oxidative stress in Parkinson’s disease: a mechanism of pathogenic and therapeutic significance. Ann NY Acad Sci. 2008;1147:93–104. PMC free article PubMed Google Scholar https://doi.org/10.1196/annals.1427.023 24. Logroscino G. The role of early-life environmental risk factors in Parkinson disease: what is the evidence? Environ Health Perspect. 2005; PMC free article PubMed Google Scholar https://doi.org/10.1289/ehp.7573 25. Spatola M, Wider C. Genetics of Parkinson’s disease: the yield. Parkinsonism Relat Disord. 2014;20(suppl 1):S35–S38. PubMed Google Scholar https://doi.org/10.1016/s1353-8020(13)70011-7 26. Singleton AB, Farer MJ, Bonifati V. The genetics of Parkinson’s disease: progress and therapeutic implications. Mov Disord. 2013;28:14–23. PMC free article Pu bMed Google Scholar https://doi.org/10.1002/mds.25249 27. Santiago JA, Scherzer CR, Potashkin JA. Network analysis identifies SOD2 mRNA as a potential biomarker for Parkinson’s disease. PLoS One. 2014; PMC free article PubMed Google Scholar https://doi.org/10.1371/journal.pone.0109042 28. Liu R, Guo X, Park Y, et al. Caffeine intake, smoking, and risk of Parkinson disease in men and women. Am J Epidemiol. 2012; PMC free article PubMed Google Scholar https://doi.org/10.1093/aje/kwr451 29. Benmoyal-Segal L, Soreq H. Gene–environment interactions in sporadic Parkinson’s disease. J Neurochem. 2006;97:1740–1755. PubMed Google Scholar https://doi.org/10.1111/j.1471-4159.2006.03937.x 30. Van der Merwe C, Haylett W, Harvey J, et al. Factors influencing the development of early- or late-onset Parkinson’s disease in a cohort of South African patients. S Afr Med J. 2012;102:848–851. PubMed Google Scholar https://doi.org/10.7196/samj.5879 31. Wang G, Pan J, Chen SD. Kinases and kinase signaling pathways: potential therapeutic targets in Parkinson’s disease. Prog Neurobiol. 2012; PubMed Google Scholar https://doi.org/10.1016/j.pneurobio.2012.06.003 32. Gilgun-Sherki Y, Djaldetti R, Melamed E, Offen D. Polymorphism in candidate genes: implications for the risk and treatment of idiopathic Parkinson’s disease. Pharmacogenomics J. 2004;4:291–306. PubMed Google Scholar https://doi.org/10.1038/sj.tpj.6500260 33. Agúndez JA, García-Martín E, Alonso-Navarro H, et al. Anti-Parkinson’s disease drugs and pharmacogenetic considerations. Expert Opin Drug Metab Toxicol. 2013;9:859–874. PubMed Google Scholar https://doi.org/10.1517/17425255.2013.789018 34. Marras C, Goldman SM. Genetics meets environment: evaluating gene–environment interactions in neurologic diseases. Semin Neurol. 2011;31:553–561. PubMed Google Scholar https://doi.org/10.1055/s-0031-1299793 35. Soreq L, Ben-Shaul Y, Israel Z, et al. Meta-analysis of genetic and environmental Parkinson’s disease models reveals a common role of mitochondrial protection pathways. Neurobiol Dis. 2012;45:1018–1030. PubMed Google Scholar https://doi.org/10.1016/j.nbd.2011.12.021 36. Curtin K, Fleckenstein AE, Robison RJ, et al. Methamphetamine/amphetamine abuse and risk of Parkinson’s disease in Utah: a population-based assessment. Drug Alcohol Depend. 2015;146:30–38. PMC free article PubMed Google Scholar https://doi.org/10.1016/j.drugalcdep.2014.10.027 37. Chen JJ, Swope DM. Parkinson’s disease. In: DiPiro JT, Talbert RL, Yee GC, et al., editors. Pharmacotherapy: A Pathophysiologic Approach. 9th ed. New York, New York: McGraw-Hill; 2014. Google Scholar 38. Chade AR, Kasten M, Tanner CM. Nongenetic causes of Parkinson’s disease. J Neural Transm Suppl. 2006;70:147–151. PubMed Google Scholar https://doi.org/10.1007/978-3-211-45295-0_23.
10 months ago by @ijiris
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analysing
machine
performance
support
vector
analysingmachineperformancesupportvector
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2A HYBRID METHODS DSS FOR THE BEST PERFORMING LECTURERS SELECTION
A. Teotino G. Soares1, Marcelo F. X. Cham2, and T. Wahyuningrum4. International Journal on Soft Computing, Artificial Intelligence and Applications (IJSCAI), 12 (1/2): 13 (May 2023)
12 months ago by @leninsha
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Analytical
Composite
Decision
Hybrid
Profile
hierarchy
index
matching
performance
process
support
system
AnalyticalCompositeDecisionHybridProfilehierarchyindexmatchingperformanceprocesssupportsystem
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1Credit Cards Frauds and Cybersecurity Threats Machine Learning Detection Algorithms as Countermeasures
I. Obodoeze Fidelis C. | Oliver Ifeoma Catherine | Onyemachi George Olisamaka | Udeh Ifeanyi Frank Gideon | Obiokafor. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (7): 940-948 (January 2023)
a year ago by @ijtsrd
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Accuracy
Card
Credit-Movement.
algorithms
detection
f1
fraud
frauds
learning
machine
patterns
precision
recall
score
support
AccuracyCardCredit-Movement.algorithmsdetectionf1fraudfraudslearningmachinepatternsprecisionrecallscoresupport
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2Strategic Decision Support System for Fleet Investments in the Vaccine Supply Chain
F. Oberdorf, P. Wolf, M. Schaschek, and N. Stein. (2021)
a year ago by @winkelmann
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decision
support
system
decisionsupportsystem
(0)
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1Weighted Coefficient Firefly Optimization Algorithm and Support Vector Machine for Trust Model and Link Reliability
S. Sharma, and S. Hussain. International Journal of Computer Networks & Communications (IJCNC), 14 (5): 117-132 (September 2022)
a year ago by @laimbee
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Algorithm
Cloud
Coefficient
Entropy
Firefly
Machine
Measure
Optimization
Support
Trust
Vector
Weighted
computing
model
AlgorithmCloudCoefficientEntropyFireflyMachineMeasureOptimizationSupportTrustVectorWeightedcomputingmodel
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1Emotional Support and the Well Being of Aged Persons of Bamboutous Division of West Region of Cameroon
N. Anyi. INTERNATIONAL JOURNAL OF TREND IN SCIENTIFIC RESEARCH AND DEVELOPMENT, 6 (6): 1235-1240 (October 2022)
a year ago by @ijtsrd
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Aged
Emtional
Persons
Support
Wellbeing
AgedEmtionalPersonsSupportWellbeing
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1Is it time we get real? A systematic review of the potential of data-driven technologies to address teachers\textquotesingle implicit biases
A. Gauthier, S. Rizvi, M. Cukurova, and M. Mavrikis. Frontiers in Artificial Intelligence, (October 2022)
2 years ago by @ereidt
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artificialintelligence
bias
data-driven
decisionmaking
edtech
education
equity
learninganalytics
support
systematicreview
teachers
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2An Online Controlled Experiment Design to Support the Transformation of Digital Learning towards Adaptive Learning Platforms
N. Rzepka, K. Simbeck, H. Müller, and N. Pinkwart. Proceedings of the 14th International Conference on Computer Supported Education, SCITEPRESS - Science and Technology Publications, (2022)
2 years ago by @ereidt
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1Importance of Resolving the Spectral Support of Beam-plasma Instabilities in Simulations
M. Shalaby, A. Broderick, P. Chang, C. Pfrommer, A. Lamberts, and E. Puchwein. The Astrophysical Journal, 848 (2): 81 (October 2017)
2 years ago by @ursg
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1Implementing learning analytics in wiki-supported collaborative learning in secondary education: A framework-motivated empirical study
X. Hu, J. Ng, and S. Chu. International Journal of Computer-Supported Collaborative Learning, (Sep 7, 2022)
2 years ago by @ereidt
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1Formalization of the Procedure for Managing the Property Complex of the University
S. Sh.. International Journal on Integrated Education, (2022)
2 years ago by @researchpark_20
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