20 research outputs found
ANALISIS FAKTOR PREDIKSI DIAGNOSIS TINGKAT KEPARAHAN PENYAKIT JANTUNG (HEART DISEASE) MENGGUNAKAN METODE STEPWISE BINARY LOGISTIC REGRESSION
No full textPenyakit jantung atau heart disease, yang juga dikenal dengan istilah penyakit kardiovaskuler adalah berbagai kondisi dimana terjadi penyempitan atau penyumbatan pembuluh darah yang dapat menyebabkan serangan jantung, nyeri dada (angina), atau stroke. Penyakit jantung dapat terjadi pada siapapun di segala usia, jenis kelamin, pekerjaan, dan gaya hidup. Selain itu, penyakit jantung tidak bisa disembuhkan. Kondisi ini membutuhkan pengobatan dan pemantauan hati-hati sepanjang masa hidup. Ketika pengobatan ini gagal, penderita diharuskan menjalani operasi bedah yang cukup mahal dan rumit. WHO menyebutkan penyakit jantung merupakan penyakit pembunuh orang di dunia nomor 1, yang tentu saja telah merenggut banyak nyawa di berbagai belahan dunia. Tingkat kematian akibat penyakit jantung ini cukup tinggi sekitar 12,8%. Hal ini dapat dicegah dengan mengurangi faktor risiko. Peran Teknologi Informasi dapat diwujudkan dengan teknik penggalian data (data mining) untuk mempersingkat waktu, akurasi dan pemilihan faktor pendeteksian dini penyakit jantung. Metode stepwise binary logistic regression memiliki keunggulan untuk menambah dan mengurangi variabel independen sesuai dengan tingkat signifikansi dari model yang terbentuk. Berdasarkan hasil analisis, lima variabel dengan bobot tertinggi yang harus lebih diwaspadai adalah tipe nyeri dada (cp), kolesterol (chol), depresi (oldpeak), jumlah arteri (ca), tingkat kerusakan/defect (thal). Sehingga akurasi dan kecepatan pemrosesan dari diagnosis tingkat keparahan penyakit jantung dapat diketahui melalui metode ini. Kata kunci: model prediksi, data mining, penyakit jantung, regresi logistik biner Heart disease, also known as cardiovascular, is a condition in which narrowing or blocking of blood vessels can cause heart attacks, chest pain (angina), orstroke. Heart disease can occur to anyone at any age, gender, occupation, and lifestyle. In addition, heart disease can not be cured. This condition requires careful treatment and care throughout life. When this treatment fails, the patient is required to undergo a surgery that is quite expensive and complicated. WHO says heart disease is the most killer disease in world, that has claimed many lives in different parts of the world. The death rate from heart disease is quite high around 12.8%. This can be prevented by reducing risk factors. The role of Information Technology can be realized with data mining techniques to shorten the time, accuracy and selection of early detection factors of heart disease. The stepwise binary logistic regression method has the advantage of adding and subtracting independent variables according to the level of significance of the model that had been formed. Based on the analysis, the five variables with the highest weights that should be more watchful are chest pain type (cp), cholesterol (chol), depression (oldpeak), number of major vessel (ca) and rate of defect (thal). So the accuracy and processing speed of the diagnosis of the severity of heart disease can be known through this model.Keyword: prediction model, data mining, heart disease, binary logistic regressio
EVALUASI REVOLUSI INDUSTRI 4.0 PADA BIDANG PERTANIAN MENGGUNAKAN MODEL INTEGRASI DELONE AND MCLEAN, UTAUT DAN HOT FIT.
Get PDFThis study tries to evaluate the industrial revolution 4.0 implementation results in agriculture in form of oyster mushroom temperature management technology. This implementation is intended to improve the quality and quantity of mushroom harvests, however further evaluation is still needed to determine the success and acceptance of the community towards the proposed technology. Evaluations were carried out using the integration of the DeLone and Mclean Success Models, the UTAUT acceptance model coupled with the Hot FIT model. The three models are then integrated to form a new model that is used to construct the questionnaire as an assessment. From the results of the 7-steps fit model, it can be concluded that the proposed model can be used and suitable for this study. From the results of the path analysis test it was concluded that human and technological factors will positively influence the use of the technology implemented. Lastly, as long as the proposed technology is used by mushroom farmers, it can be categorized as successful or successful.
ANALISIS DINAMIK MODEL SIKLUS BISNIS IS-LM (INVESTMENT SAVING– LIQUIDITY MONEY) DENGAN WAKTU TUNDA PADA STOK MODAL
No full textDUT-MMSR at MediaEval 2017: Predicting Media Interestingness Task
No full textThis paper describes our approach for the submission to the Media-eval 2017 Predicting Media Interestingness Task, which was particularlydeveloped for the Image subtask. An approach using a late fusion strategy is employed, combining classifiers from different features by stacking them using logistic regression (LR). As the task ground truth was based on pairwise evaluation of shots or keyframe images within the same movie, next to using precomputed features as-is, we also include a more contextual feature, considering aver-aged feature values over each movie. Furthermore, we also consider evaluation outcomes for the heuristic algorithm that yielded the highest MAPscore on the 2016 Image subtask. Considering results obtained for the development and test sets, our late fusion method shows consistent performance on the Image subtask, but not on the Video subtask. Furthermore, clear differences can be observed between MAP@10 and MAP scores.Multimedia Computin
The development of a relationship marketing framework that captures the delivery of value in entrepreneurial SMEs
No full textThere are a number of environmental pressures facing SMEs and the high failure rates
amongst young SMEs highlights the need for research to develop a framework that will
permit SMEs to achieve growth with a minimal risk of failure. This research will show
that both relationship marketing and entrepreneurship have significantly contributed to
allowing entrepreneurial SMEs to pursue a low risk strategy of growth through pursuing
a customer retention, development and targeted acquisition strategy. To understand the
nature of entrepreneurial SMEs and the factors influencing growth.
The author cites literature that argues entrepreneurship is not an 'absolute' and thus
believes that less entrepreneurial firms have the potential to learn from their more
successful counterparts. Whilst this does offer some specific management suggestions,
the author also recognises that the task is not an easy one, for the SME has not only to
create an internal culture that is capable of embracing relationship marketing but one that
also enables it to act in an entrepreneurial fashion. Despite these challenges the author
will capitalise on the research findings to develop a framework for successfully adopting
relationship marketing and entrepreneurial behaviour, to assist SMEs to overcome the
hurdle of high failure rate amongst SMEs.
The research has focused on the business services industry, since this sector is
experiencing the highest growth. In the main this sector covered printing, marketing
services and computer services, and so would be offering clients both a pure service and a
product / service mix. Additionally this sector because of its service nature would have a
high contact with its customer base. A sampling frame was developed that resulted in
identifying 102 SMEs in West Yorkshire (UK) that met the criteria for selection. An
initial quantitative survey was administered that provided statistical evidence that
entrepreneurial SMEs had a greater relationship marketing orientation. The results from
the survey were further investigated through in-depth semi structured interviews to reveal
a richer picture of the phenomenon
Optical characterization, infrared emission and visible up-conversion in Er3+ doped tellurite glasses
No full textFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPIn this work, Er3 + doped tellurite glasses have been prepared with the composition (82.5-x) TeO2 + 4.5Bi2O3 + 11.5ZnO + 1.5Nb2O5 + x Er2O3 (x = 0.1, 0.3, 0.5, 0.7, 1.0 mol%) by melt-quenching method and their physical, spectroscopic properties were investigated. The experimental oscillator strengths (fexp) of individual absorption peaks are used to estimate the Judd-Ofelt intensity parameters (Ωλ, λ = 2, 4, 6). Judd-Ofelt intensity parameters are used to calculate the spontaneous transition probabilities, radiative lifetimes and branching ratios for certain excited states of Er3 + ions. NIR emission and visible up-conversion luminescence were observed at room temperature for all glasses by exciting with 980 nm laser radiation. The emission characteristics such as peak stimulated emission cross section, FWHM, figure of merit, optical gain cross sections and measured lifetimes have been obtained for the observed Er3 +: 4I13/2 → 4I15/2 transition in the above glass composition for all the concentrations and are compared with that of the reported. Finally, NIR to visible energy conversion has been analyzed for all glasses excited at 980 nm and suitable mechanism was proposed. © 2014 Elsevier B.V.In this work, Er3 + doped tellurite glasses have been prepared with the composition (82.5-x) TeO2 + 4.5Bi2O3 + 11.5ZnO + 1.5Nb2O5 + x Er2O3 (x = 0.1, 0.3, 0.5, 0.7, 1.0 mol%) by melt-quenching method and their physical, spectroscopic properties were investigated. The experimental oscillator strengths (fexp) of individual absorption peaks are used to estimate the Judd-Ofelt intensity parameters (Ωλ, λ = 2, 4, 6). Judd-Ofelt intensity parameters are used to calculate the spontaneous transition probabilities, radiative lifetimes and branching ratios for certain excited states of Er3 + ions. NIR emission and visible up-conversion luminescence were observed at room temperature for all glasses by exciting with 980 nm laser radiation. The emission characteristics such as peak stimulated emission cross section, FWHM, figure of merit, optical gain cross sections and measured lifetimes have been obtained for the observed Er3 +: 4I13/2 → 4I15/2 transition in the above glass composition for all the concentrations and are compared with that of the reported. Finally, NIR to visible energy conversion has been analyzed for all glasses excited at 980 nm and suitable mechanism was proposed.402141148FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESP12/50480-6Rakov, N., Ramos, F.E., Hirata, G., Xiao, M., (2003) Appl. Phys. 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Lett., 16, p. 258Philips, J.F., Opfer, T.T., Ebendorff-Heidpriem, H., Ehrt, D., Sauerbrey, R., (2001) Appl. Phys. B, 72, p. 399Binnemans, K., Gorller-Walrand, C., (1998) J. Phys. Condens. Matter, 10, p. 167Shen, S., Naftaly, M., Jha, A., (2002) Opt. Commun., 205, p. 101This work is financially supported by FAPESP, grant # 12/50480-6. The author would like to thank the Group of ultrafast phenomena and Optical Communications (GFURCO) and the Laboratory of Advanced Optical Spectroscopy (LMEOA/IQ-UNICAMP/FAPESP grant # 2009/54066-7) for providing lab facilities
Search for monotop signatures in proton-proton collisions at √s = 8 TeV
Get PDFThis article is available under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.Results are presented from a search for new decaying massive particles whose presence is inferred from an imbalance in transverse momentum and which are produced in association with a single top quark that decays into a bottom quark and two light quarks. The measurement is performed using 19.7 fb-1 of data from proton-proton collisions at a center-of-mass energy of 8 TeV, collected with the CMS detector at the CERN LHC. No deviations from the standard model predictions are observed and lower limits are set on the masses of new invisible bosons. In particular, scalar and vector particles, with masses below 330 and 650 GeV, respectively, are excluded at 95% confidence level, thereby substantially extending a previous limit published by the CDF Collaboration
Planning of dynamic virtual optical cloud infrastructures: the GEYSERS approach
No full textThis article focuses on planning and replanning of virtual infrastructures over optical cloud infrastructures comprising integrated optical network and IT resources. This concept has been developed in the context of the European project GEYSERS. GEYSERS has proposed a novel multi-layer architecture, described in detail, that employs optical networking capable of provisioning optical network and IT resources for end-to-end cloud service delivery. The procedures required to perform virtual infrastructure planning and replanning at the different architecture layers are also detailed. An optimization scheme suitable to dynamically plan and replan virtual infrastructures is presented and compared to conventional approaches, and the benefits of dynamic replanning are discussed and quantified. The final project demonstration, focusing on planning, replanning, and dynamically establishing virtual infrastructures over the physical resources, is presented, while some emulation results are provided to further evaluate the performance of the GEYSERS solution.Peer ReviewedPostprint (published version
Mapping local patterns of childhood overweight and wasting in low- and middle-income countries between 2000 and 2017
Get PDFA double burden of malnutrition occurs when individuals, household members or communities experience both undernutrition and overweight. Here, we show geospatial estimates of overweight and wasting prevalence among children under 5 years of age in 105 low- and middle-income countries (LMICs) from 2000 to 2017 and aggregate these to policy-relevant administrative units. Wasting decreased overall across LMICs between 2000 and 2017, from 8.4 (62.3 (55.1–70.8) million) to 6.4 (58.3 (47.6–70.7) million), but is predicted to remain above the World Health Organization’s Global Nutrition Target of <5 in over half of LMICs by 2025. Prevalence of overweight increased from 5.2 (30 (22.8–38.5) million) in 2000 to 6.0 (55.5 (44.8–67.9) million) children aged under 5 years in 2017. Areas most affected by double burden of malnutrition were located in Indonesia, Thailand, southeastern China, Botswana, Cameroon and central Nigeria. Our estimates provide a new perspective to researchers, policy makers and public health agencies in their efforts to address this global childhood syndemic. © 2020, The Author(s)
Search for displaced supersymmetry in events with an electron and a muon with large impact parameters
Get PDFThis article is available under the terms of the Creative Commons Attribution 3.0 License. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.A search for new long-lived particles decaying to leptons is presented using proton-proton collisions produced by the LHC at s=8TeV. Data used for the analysis were collected by the CMS detector and correspond to an integrated luminosity of 19.7fb-1. Events are selected with an electron and muon with opposite charges that both have transverse impact parameter values between 0.02 and 2 cm. The search has been designed to be sensitive to a wide range of models with nonprompt e-μ final states. Limits are set on the "displaced supersymmetry" model, with pair production of top squarks decaying into an e-μ final state via R-parity-violating interactions. The results are the most restrictive to date on this model, with the most stringent limit being obtained for a top squark lifetime corresponding to cτ=2cm, excluding masses below 790 GeV at 95% confidence level
