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Journal articles on the topic 'Predicition'

Author: Grafiati

Published: 7 June 2025

Last updated: 16 July 2025

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1

Hakim, Edward B. "Plastic encapsulated microcircuit reliability predicition: why?" Microelectronics Reliability 38, no. 4 (1998): 681–83. http://dx.doi.org/10.1016/s0026-2714(97)00219-9.

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2

Jain, Pulkita, and Mudassir Rashid. "Predictive Modeling for Early Hyperglycemia Detection in Type 2 Diabetes." Illinois Tech Undergraduate Research Journal 1, no. 1 (2023): 6. http://dx.doi.org/10.18409/urjiit.v1i1.44.

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Type 2 Diabetes (T2D) is characterized by a combination of defects in insulin action and impairment in insulin secretion. Deficient insulin action causes people with Type 2 Diabetes to have difficulty controlling their blood glucose concentration (BGC) and experience periods of high (hyperglycemia) and low (hypoglycemia) BGC. Continuous glocuse monitoring (CGM) sensors and machine learning algorithms can automate the process of meal size estimation, improve the accuracy of the carbohydrate estimations, and reduce the involvement of the subject. The aim of this project was to use dynamic Partial Least Squares (PLS) regression to model blood glucose data from CGM devices and optimize the model parameters for best accuracy of the predictive modelling. The parameters were optimized by explicit enumeration and grid search approach to minimize the mean square error (MSE), and the lowest MSE was obtained with the number of latent variables as 5 and past horizon as 5 (25 minutes). Future research will develop the logic inference using the first- and second-order derivatives of the predicition curve that will sound the alarms based on the predicitions made in the current work.

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3

Tian, Bo, Hui Long Ren, and Zhi Yuan Dong. "Research on Longitudinal Motion Prediction of Hybrid Monohull Considering Based on Numerical Simulation." Applied Mechanics and Materials 716-717 (December 2014): 776–79. http://dx.doi.org/10.4028/www.scientific.net/amm.716-717.776.

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The shape of hybrid monohull at the bow is quite complex and the viscosity force is the main component of the damping force in the drainage area of the bow when the ship moves in waves so that the result of the motion predicition by the traditional potential flow method is very different from the result of experiments. This paper tries to use new numerical compute method considering the effect of the viscosity to improve the precision of the sea keeping predicition. Based on the Reynolds Averaged N-S Equations (RANS) method, the paper takes a hrbrid monohull to compute the hydrodynamic coefficients. According to the result of model test, the prediction of the hybrid monohull’s the longitudinal motion in regular waves at speed of 18kn also indicates that RANS method can reflect viscid influence reducing the motion of hybrid monohull in waves.

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4

Peter, Jerine S., Nagesh Kishan Panchal, Aishwaria V. Nair, Kshitija Joshi, Andrews Shobhy Sosa, and Evan Prince Sabina. "ADME and Inhibitory target molecules predicition of Cyamopsis tetragonoloba." RESEARCH JOURNAL OF PHARMACY AND TECHNOLOGY 14, no. 1 (2021): 146–52. http://dx.doi.org/10.5958/0974-360x.2021.00026.3.

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Kallunki, J. "The Predicition of Solar Flares Using Millimeter Radio Brightenings." Latvian Journal of Physics and Technical Sciences 60, no. 2 (2023): 43–51. http://dx.doi.org/10.2478/lpts-2023-0010.

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Abstract Solar activity could have significant impacts on various Earth and near-Earth space systems, such as satellite communication and power grid systems. The prediction of solar activity and active solar events plays a major role when preparing for these disturbances. Various satellite-based instruments constantly observe the Sun. However, only a few ground-based solar instruments could provide versatile enough information for the space weather prediction. Metsähovi Radio Observatory of Aalto University (Finland) has a unique collection of millimetre (8 mm) solar radio maps over the past 40 years, and even denser observational solar radio data catalogue since 2011. About 75–80 % days yearly are covered nowadays. This gives opportunity to make statistical estimation of solar flare occurrence based on solar radio maps. In this study, we had 2253 days when both solar radio map and GOES (Geostationary Operational Environmental Satellites) classified solar flare were observed. In this work, we used solar flare classification done by the Space Weather Centre (SWC) of the National Oceanic and Atmospheric Administration (NOAA). The data were observed between 1 January 2011 and 12 September 2022. Our study shows that the maximum intensity of radio brightenings is a good indicator to tell which kind of GOES classified solar flare could be expected to happen. The article presents that intense radio brightening is needed to produce a certain GOES classified solar flare.

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Wu, Shao Chen, Hai Sheng Liu, and Fu Liang Deng. "Segmented Auxiliary Power Model Based on Particle Swarm Optimization." Advanced Materials Research 1044-1045 (October 2014): 1321–24. http://dx.doi.org/10.4028/www.scientific.net/amr.1044-1045.1321.

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The traditional modeling approach of auxiliary power is the least squares method, however, accuracy of the traditional least squares method is not high in fitting and forecasting, so we introduced segmentation method of least squares model, and consider the impact of many factors on the model ,proposed the improved least square method based on PSO. Application prove this method has a better fitting precision and predicition accuracy.

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7

Roemer, F. W., C. K. Kwoh, T. Fujii, et al. "OP0124 Mri-Based Long Term Predicition of Incident Radiographic Osteoarthritis." Annals of the Rheumatic Diseases 73, Suppl 2 (2014): 108.1–108. http://dx.doi.org/10.1136/annrheumdis-2014-eular.3209.

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Manukyan, Larisa Vladimirovna, Anush Ashotovna Margaryan, Suren Vladimirovich Tovmasyan, and Narine Vahanovna Harutyunyan. "CRUSTAL DISPLACEMENT BASED ON THREE STAGES GEODETIC STUDIES RESULTS IN SPITAK GEODYNAMIC POLYGON." EurasianUnionScientists 2, no. 6(75) (2020): 37–41. http://dx.doi.org/10.31618/esu.2413-9335.2020.2.75.832.

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A network of dual-frequency global navigation satellite systems and digital levelling instruments has been established around Spitak, Armenia with the goal of recording changes to the Earth’s crust near to this major earthquake zone. The study was initiated in response to the 1988 Armenian earthquake and is focused on the Sarighamish, Javakhet, Pambak-Sevan, Spitak and Akhuryan faults. Results demonstrate differential movement across fault zones that suggest monitoring of crustal change could be useful in the predicition of large earthquake events.

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9

Misawa, Masayoshi. "Deployment reliability predicition for large satellite antennas driven by spring mechanisms." Journal of Spacecraft and Rockets 31, no. 5 (1994): 878–82. http://dx.doi.org/10.2514/3.26526.

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10

Lin, Xin Yan, Yan Li, and Zhang Yan. "Load-Deflection Analysis of RC Beams Strengthened with External CFRP Sheets." Applied Mechanics and Materials 166-169 (May 2012): 1830–35. http://dx.doi.org/10.4028/www.scientific.net/amm.166-169.1830.

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Abstract. This paper is dedicated to the load-deflection analysis of RC beams strengthened with external CFRP sheets. A theoretical nonlinear model, based on slip and bond stresses, is described and adopted for the deformability predicition of beams. The model allows considering the bond-slip relationships both between concrete and steel bar and between concrete and CFRP. Comparisons between the simulated midspan deflection and that of experiment indicate that the proposed nonlinear model is able to predict the deformability behavior of RC beams strengthened with external CFRP sheets.

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11

JOHNS, KENNETH A. "Spin Correlation in $t\bar t$ Production $p\bar p$ Collisions at $\sqrt{s} =1.8\, {\rm TeV}$." International Journal of Modern Physics A 16, supp01a (2001): 366–68. http://dx.doi.org/10.1142/s0217751x01006942.

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The DØ collaboration has performed a study of spin correlation in [Formula: see text] production for the process [Formula: see text], where the W bosons decay to e ν or μ ν. A sample of six events was collected by the DØ detector from an integrated luminosity of approximately 125 pb -1 of [Formula: see text] collisions. The degree of spin correlation is characterized by a correlation coefficient κ. We find that κ > -0.25 at the 68% confidence level, in agreement with the SM predicition of κ = 0.88.

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12

Song, Fei, Likun Peng, Jia Chen, and Benmeng Wang. "Internal Leakage Predicition of Hydraulic Spool valves Based on Acoustic Emission Technology." Journal of Physics: Conference Series 2113, no. 1 (2021): 012016. http://dx.doi.org/10.1088/1742-6596/2113/1/012016.

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Abstract In order to realize the nondestructive testing (NDT) of the internal leakage fault of hydraulic spool valves, the internal leakage rate must be predicted by AE (acoustic emission) technology. An AE experimental platform of internal leakage of hydraulic spool valves is built to study the characteristics of AE signals of internal leakage and the relationship between AE signals and leakage rates. The research results show the AE signals present a wideband characteristic. The main frequencies are concentrated in 30~50 kHz and the peak frequency is around 40 kHz. When the leakage rate is large, there are significant signal characteristics appearing in the high frequency band of 75~100 kHz. The exponent of the root mean square(RMS) of AE signals is positively correlated with the exponent of the leakage rate only if the leakage rate is greater than 2~3 mL/min. This find could be used to predict the internal leakage rate of hydraulic spool valves.

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13

Cheng, Kefei. "The Water Quality Predicition Based on the Gray Model and Curve Fitting." Journal of Information and Computational Science 10, no. 8 (2013): 2329–35. http://dx.doi.org/10.12733/jics20101558.

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14

AKAMATSU, Yoshihisa, Hirotaka FURUSAWA, Kazutoshi OSAWA, and Daisuke KAMIYA. "PREDICITION OF HABITAT SUITABILITY FOR MUDSKIPPER IN THE MAIN ISLAND OF OKINAWA." Journal of Japan Society of Civil Engineers, Ser. B1 (Hydraulic Engineering) 67, no. 4 (2011): I_1693—I_1698. http://dx.doi.org/10.2208/jscejhe.67.i_1693.

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15

Hon, Elvin, and Augustpaosa Nariman. "FAKTOR-FAKTOR YANG MEMPENGARUHI PREDIKSI KEBANGKRUTAN PERUSAHAAN PADA PERUSAHAAN MANUFAKTUR." Jurnal Paradigma Akuntansi 5, no. 4 (2023): 1558–66. http://dx.doi.org/10.24912/jpa.v5i4.26412.

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This research aims to examine the effect of cash flow, profitability, and leverage on the predicition of corporate bankruptcy in manufacturing companies listed on the Indonesia Stock Exchange for the period 2018-2020. This study used a purposive samnpling method and obtained 19 companies and total of samples in this study were 57 samples. The method in this study used logistic regression analytics with Eviews12 and Microsoft Excel. The results of this study shows that cash flow, profitability, and leverage has an insignificant effect on prediction of corporate bankruptcy. Then, the cash flow variables. profitability, and leverage simultaneously has an effect on prediction of corporate bankruptcy.

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Rieger, Oliver S., Max Hackelöer, Leon Schmidt, Mark Neznansky, Wolfgang Henrich, and Stefan Verlohren. "P-039. Building clinically usable machine-learning models for outcome predicition in preeclampsia." Pregnancy Hypertension 25 (September 2021): e41. http://dx.doi.org/10.1016/j.preghy.2021.07.074.

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17

Vakhshouri, B., and S. Nejadi. "Predicition Of Compressive Strength In Light-Weight Self-Compacting Concrete By ANFIS Analytical Model." Archives of Civil Engineering 61, no. 2 (2015): 53–72. http://dx.doi.org/10.1515/ace-2015-0014.

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AbstractLight-weight Self-Compacting Concrete (LWSCC) might be the answer to the increasing construction requirements of slenderer and more heavily reinforced structural elements. However there are limited studies to prove its ability in real construction projects. In conjunction with the traditional methods, artificial intelligent based modeling methods have been applied to simulate the non-linear and complex behavior of concrete in the recent years. Twenty one laboratory experimental investigations on the mechanical properties of LWSCC; published in recent 12 years have been analyzed in this study. The collected information is used to investigate the relationship between compressive strength, elasticity modulus and splitting tensile strength in LWSCC. Analytically proposed model in ANFIS is verified by multi factor linear regression analysis. Comparing the estimated results, ANFIS analysis gives more compatible results and is preferred to estimate the properties of LWSCC.

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18

Farhannah, Farhannah Silmi Az Zahra, and Solikhun Solikhun. "PENERAPAN ALGORITMA NAIVE BAYES DALAM MENENTUKAN KONSENTRASI SISWA TERHADAP PROSES BELAJAR MENGAJAR DI SMP TAMAN ASUHAN." Jurnal RESISTOR (Rekayasa Sistem Komputer) 4, no. 2 (2021): 142–55. http://dx.doi.org/10.31598/jurnalresistor.v4i2.730.

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The purpose of this study is to analyze whether students concentrate or not on the teaching and learning process at Pematangsiantar Park in SMP. To determine the concentration of students in the teaching and learning process, the Naive Bayes classification of data mining methods is used. Sources of research data were obtained using a questionnaire distributed to Pematangsiantar Park Middle School. So hopefully this research can help the government and the school in monitoring the concentration of students so that it can help in improving the quality and quality of schools. Based on that research that has been done,the writer uses the Naïve Bayes Method to predict student concentration resulting in a value of 95.31%, while the predicition of lack of concentration results in a value of 100.00%

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19

Li, Shuojun, David Montgomery, and Wesley B. Jones. "Inverse cascades of angular momentum." Journal of Plasma Physics 56, no. 3 (1996): 615–39. http://dx.doi.org/10.1017/s0022377800019498.

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Most theoretical and computational studies of turbulence in Navier—Stokes fluids and/or guiding-centre plasmas have been carried out in the presence of spatially periodic boundary conditions. In view of the frequently reproduced result that two-dimensional and/or MHD decaying turbulence leads to structures comparable in length scale to a box dimension, it is natural to ask if periodic boundary conditions are an adequate representation of any physical situation. Here, we study, computationally, the decay of two-dimensional turbulence in a Navier—Stokes fluid or guiding-centre plasma in the presence of circular no-slip rigid walls. The method is wholly spectral, and relies on a Galerkin approximation by a set of functions that obey two boundary conditions at the wall radius (analogues of the Chandrasekhar— Reid functions). It is possible to explore Reynolds numbers up to the order of 1250, based on an RMS velocity and a box radius. It is found that decaying turbulence is altered significantly by the no-slip boundaries. First, strong boundary layers serve as sources of vorticity and enstrophy and enhance the early-time energy decay rate, for a given Reynolds number, well above the periodic boundary condition values. More importantly, angular momentum turns out to be an even more slowly decaying ideal invariant than energy, and to a considerable extent governs the dynamics of the decay. Angular momentum must be taken into account, for example, in order to achieve quantitative agreeement with the predicition of maximum entropy, or ‘most probable’, states. These are predicitions of conditions that are established after several eddy turnover times but before the energy has decayed away. Angular momentum will cascade to lower azimuthal mode numbers, even if absent there initially, and the angular momentum modal spectrum is eventually dominated by the lowest mode available. When no initial angular momentum is present, no behaviour that suggests the likelihood of inverse cascades is observed.

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20

Senthil Kumar, B., and S. K. Srivatsa. "An Efficient Channel Sensing Algorithm Based on Hidden Semi Markov Model and Channel Quality Predicition." Research Journal of Applied Sciences, Engineering and Technology 8, no. 19 (2014): 2064–70. http://dx.doi.org/10.19026/rjaset.8.1199.

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21

Gusterson, B. A. "The future applications of DNA and RNA technology to prognosis and predicition in breast cancer." Breast 6, no. 5 (1997): 312. http://dx.doi.org/10.1016/s0960-9776(97)90018-7.

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22

Yang, Heng, Ru Sen Fan, and Dong Hui Xu. "Power Information System Risk Assessment Method Based on Genetic Algorithms and Neural Network." Applied Mechanics and Materials 530-531 (February 2014): 429–33. http://dx.doi.org/10.4028/www.scientific.net/amm.530-531.429.

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In order to scientifically and accurately evaluate power information system, the new power information risk evaluation method based on the genetic algorithm and BP neural network is presented. The method combining the genetic algorithm and BP algorithm can be used to train the feedforward neural network , namely, first , to use the genetic algorithm to do the global training, then ,to use BP algorithm to do local precise training ,which not only overcomes the drawbacks of the traditional BP network (the training time is long, and the network is easy to fall to local extremum),but also improves the global convergence efficiency. The method was adopted to evaluate the power information system. And findings identify that the new method has distinctive convergence speed and high predicition accuracy, which provides a new concept for power information system risk assessment.

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23

Alves, José Maria Brabo, and Maryfrance Cassia Santos Diniz. "UM ESTUDO PRELIMINAR DE POSSÍVEIS EFEITOS DE MUDANÇAS CLIMÁTICAS NO NORDESTE DO BRASIL." Revista Brasileira de Geografia Física 2, no. 2 (2009): 11. http://dx.doi.org/10.26848/rbgf.v2i2.232636.

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Possíveis evidências de mudanças climáticas globais no Nordeste do Brasil (NEB) são investigadas entre os períodos 1950-1970 e 1980-2000; 1974-1990 e 1991-2003, os primeiros quase sem influência antropogênica e os dois últimos períodos com possível influência antropogênica. Foi usada uma série de precipitação diária (1974-2003) observada em pontos de grade e dados mensais de precipitação e temperatura do ar (1950-2000) das reanálises do National Center for Environment Predicition (NCEP)–National Center for Atmospheric Research (NCAR) admitindo ser dados representativos da variabilidade de grande escala climática na Região. Os resultados mostraram um aumento nos totais anuais de precipitação (15% a 25%) e na temperatura média anual (até 0,6ºC) sobre o NEB no período 1981-2000 comparado ao período 1950-1970. Estatísticas de extremos (número de dias com chuva forte > 10mm e com chuva leve

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24

Baktir, Firyal, Dwi Prijatmoko, and Masniari Novita. "Tabel Prediksi Moyers dan Sitepu terhadap Lebar Mesiodistal Gigi Permanen Pengganti pada Etnis Arab Yaman di Surabaya." Pustaka Kesehatan 8, no. 1 (2020): 42. http://dx.doi.org/10.19184/pk.v8i1.11699.

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There are several methods of analizing tooth size discrepancy in orthodontics include prediction methods for mixed dentition. Prediction method of Moyers and Sitepu most commonly used although both were obtained from 2 different races, Caucasian and Deutromelayu. Yemeni ethnic is one of the ethnic groups settled in Indonesia which descendants of the Caucasian race. The aim of the study was to observed the suitable prediction table for Yemeni ethnic. It was an observasional analitics study consist of 40 samples with cross sectional design. The results showed that slight difference for prediction of Moyers on the maxilla (1.02) and prediction of Sitepu on the mandibula (0.11). As conclusion, the most suitable predicition method for Yemeni ethnic is Moyers’s method for maxila and sitepu’s method for mandibula.  Key words: mesiodistal width permanen teeth, Moyers method, Sitepu method, Yemeni Etnic

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25

Karlström, Anders, and Jan Hill. "CTMP Process Optimization Part III: On the Predicition of Scott-Bond, Z-strength and Tensile index." Nordic Pulp & Paper Research Journal 32, no. 2 (2017): 266–79. http://dx.doi.org/10.3183/npprj-2017-32-02-p266-279.

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26

Bhadu, Surina, Vishal Agrawal, Hi mani, and Jayanti Tokas. "In silico Analysis for Functional Predicition of Salmonella typhi Gene in Human Infection through Threading Model." International Journal of Current Microbiology and Applied Sciences 7, no. 2 (2018): 3426–31. http://dx.doi.org/10.20546/ijcmas.2018.702.408.

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27

Grip, Carl Erik, Lage Jonsson, Pär Jönsson, and Kjell Olof Jonsson. "Numerical Predicition and Experimental Verification of Thermal Stratification during Holding in Pilot Plant and Production Ladles." ISIJ International 39, no. 7 (1999): 715–21. http://dx.doi.org/10.2355/isijinternational.39.715.

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28

Liang, Z., S. Qi, Z. Yang, and Q. Li. "SU-E-T-177: Experience Based Predicition Model For Automated VMAT Planning: A Cervical Cancer Application." Medical Physics 41, no. 6Part14 (2014): 263. http://dx.doi.org/10.1118/1.4888507.

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Alonso Blanco-Morales, E., J. Bravo-Ferrer, R. Rey, et al. "SAT0242 Carotid Artery Ultrasound in Spondyloarthritis. Atherosclerosis Predicition with a New Risk Scoring System: Table 1." Annals of the Rheumatic Diseases 74, Suppl 2 (2015): 746.2–746. http://dx.doi.org/10.1136/annrheumdis-2015-eular.6356.

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30

Lammentausta, E., P. Kiviranta, J. Töyräs, M. T. Nieminen, and J. S. Jurvelin. "Predicition of the mechanical properties of normal and degenerated articular cartilage and trabecular bone using MRI." Journal of Biomechanics 39 (January 2006): S451. http://dx.doi.org/10.1016/s0021-9290(06)84845-1.

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31

Li, Qinming, Yu Long, Lijun Zhang, Yuying Ma, Weihong Sha, and Hao Chen. "Sa1874: PREDICITION OF CARDIOVASCULAR DISEASE FROM CLINICAL AND GENOMIC DATA IN INDIVIDUALS WITH INFLAMMATORY BOWEL DISEASE." Gastroenterology 169, no. 1 (2025): S—561. https://doi.org/10.1016/s0016-5085(25)02236-x.

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32

Maizels, Max, Scott Macgregor, John Houston, et al. "627 Improved predicition of fetal urological outcome by distinguishing fetal pyelectasis vs. hydronephroisis & identifying additional features." American Journal of Obstetrics and Gynecology 185, no. 6 (2001): S250. http://dx.doi.org/10.1016/s0002-9378(01)80660-8.

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33

Alić, Senad, Safet Brdarević, Sabahudin Jašarević, and Mustafa Imamović. "INTRODUCTION OF EXSPERT SYSTEM ANFIS INTO MAINTENANCE SYSTEM OF PROCESS FANS." Mašinstvo 12, no. 2 (2015): 41–51. https://doi.org/10.62456/jmem.2015.02.041.

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&lt;p style=&quot;text-align: justify;&quot;&gt;Neuro-fuzzy systems represent a modern class of hybrid intelligent systems. They are described as artificial neural networks characterized by fuzzy parameters. The combination of two different concepts of artificial intelligence tries to take of individual advantages of fuzzy logic and artificial neural networks in hybrid systems of homogeneous structure. Such systems are increasingly being used for solving of everyday complex problems. The possibility to display fuzzy models in the form of neural network is commonly used in the procedures of automatic determination of fuzzy model parameters based on input-output data base. This paper introductuces an application &amp;ndash; software based on adaptive intelligent neuro-fuzzy system ANFIS (Adaptive Neuro &amp;ndash; Fuzzy Interence System), which enables fuzzy structure training, vibration and temperature predicition and representation of data related to vibrations and teperatures of process fans four slide bearings in the systems&lt;br /&gt;of basic sinter-making industry.&lt;/p&gt;

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Kresnamurti, Angelica, Farizah Izazi, Ersanda Nurma Praditapuspa, and Siswandono Siswandono. "In Silico Analysis of Bioactive Compounds from Sea Urchin (Echinometra mathaei) against SARS-COV-2." Biomedical and Pharmacology Journal 16, no. 1 (2023): 329–37. http://dx.doi.org/10.13005/bpj/2614.

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SARS-CoV-2 is a kind of coronavirus that produces Covid-19 illness, which is still a public health concern in Indonesia. Meanwhile, an effective drug has not yet been found and although vaccination has been carried out, in several regions and neighboring countries there is still an increase in Covid-19 cases. This study aimed to obtain bioactive compounds from sea urchins (Echinometra mathaei) that have greater antiviral potential and lower toxicity than remdesivir. This research was started by predicting druglikeness with SwissADME, followed ADMET predicition with pkCSM online, and docking of molecule using the Molegro Virtual Docker (MVD) 5.5 software against the main protease (Mpro) target (PDB ID: 6W63). The results showed that six compounds from sea urchins (Echinometra mathaei) had antiviral activity, where the bioactive compound from sea urchins (Echinometra mathaei) with the highest affinity was shown by Spinochrome C a smaller rerank score compared with Remdesivir and native ligand (X77). So that Spinochrome C compounds are candidates as SARS-CoV-2 inhibitors potential developed drug.

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35

Xia, Bing Hua, Yuan Cai Liu, and De Bin Zhu. "Predicition of GRT Fiber-Rubberized Haydite Concrete Compressive Strength Based on Multiple Regreeion Analysis and BP Neural Network." Advanced Materials Research 472-475 (February 2012): 60–65. http://dx.doi.org/10.4028/www.scientific.net/amr.472-475.60.

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Experiment with intensity level for the LC30 ceramsite concrete as the research object, changing the content of cement, GRT fiber, rubber powder by the orthogonal test to configure GRT fiber—rubberized haydite concrete samples, maintenance samples 7d and 28d in standard conditions and respectively testing their standard compressive strength. Through the analysis of the test data, using multiple regression analysis established the GRT fiber—rubberized haydite concrete 7d and 28d standard compressive strength regression formulas.By means of BP neural network theory combine MATLAB programme established GRT fiber—rubberized haydite concrete 7d and 28d standard compressive strength neural network model.Finally using 3 groups new test data to compare the value of multiple regression equations and BP neural network’s predicted value.The results indicate that the multiple regression equations and BP neural network model are availabled.

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36

YUU, Shinichi, Toshihiko UMEKAGE, and Takafusa MIYAHARA. "Predicition of Stable and Unstable Flows in Blast Furnace Raceway Using Numerical Simulation Methods for Gas and Particles." ISIJ International 45, no. 10 (2005): 1406–15. http://dx.doi.org/10.2355/isijinternational.45.1406.

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37

Al Ghifari, Nasy`an Taufiq, Gusti Ayu Putri Saptawati, Masayu Leylia Khodra, and Benhard Sitohang. "The Evaluation of DyHATR Performance for Dynamic Heterogeneous Graphs." Journal of ICT Research and Applications 17, no. 2 (2023): 231–48. http://dx.doi.org/10.5614/itbj.ict.res.appl.2023.17.2.7.

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Dynamic heterogeneous graphs can represent real-world networks. Predicting links in these graphs is more complicated than in static graphs. Until now, research interest of link prediction has focused on static heterogeneous graphs or dynamically homogeneous graphs. A link prediction technique combining temporal RNN and hierarchical attention has recently emerged, called DyHATR. This method is claimed to be able to work on dynamic heterogeneous graphs by testing them on four publicly available data sets (Twitter, Math-Overflow, Ecomm, and Alibaba). However, after further analysis, it turned out that the four data sets did not meet the criteria of dynamic heterogeneous graphs. In the present work, we evaluated the performance of DyHATR on dynamic heterogeneous graphs. We conducted experiments with DyHATR based on the Yelp data set represented as a dynamic heterogeneous graph consisting of homogeneous subgraphs. The results show that DyHATR can be applied to identify link prediction on dynamic heterogeneous graphs by simultaneously capturing heterogeneous information and evolutionary patterns, and then considering them to carry out link predicition. Compared to the baseline method, the accuracy achieved by DyHATR is competitive, although the results can still be improved.

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Venkatesh, Y. P., and H. G. Ashok Kumar. "Basic and clinical immunology – 3033: Structural analyses and allergencity predicition of sapodilla (Manikara zapota) acidic thaumatin-like protein by bioinformatics." World Allergy Organization Journal 6 (2013): P208. http://dx.doi.org/10.1186/1939-4551-6-s1-p208.

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39

Han, Mingzhi. "TMOD-01. A PROGNOSTIC NOMOGRAM MODEL AND ONLINE SOFTWARE FOR PATIENTS WITH NEWLY DIAGNOSED LOWER-GRADE GLIOMAS." Neuro-Oncology 23, Supplement_1 (2021): i35. http://dx.doi.org/10.1093/neuonc/noab090.142.

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Abstract The nomogram represents a statistical model that incorporates multiple risk factors to estimate individualized survival probabilities. In this study, we developed a nomogram which provides an important tool for individulized survival predicition for newly diagnosed low-grade gliomas (LGG). A total number of 582 newly diagnosed LGG patients were included; the median age was 39.93 years and 42% were female. Cox regression analysis showed that younger age at diagnosis, WHO grade II vs. III, the IDHmut-codel vs. the IDHwt, and the IDHmut-non-codel vs. the IDHwt were significantly associated with better prognosis. The adjuvant treatment following surgery showed a trend towards improved survival. Subsequently, the nomogram to estimate 60-, 90-, and 120-month survival probabilities was established. Our data showed that the age at diagnosis was the largest contributor to patient survival, followed by molecular subtype, WHO grade, treatment and gender. The calibration plot showed that the observed and the nomogram predicted OS curves were well-aligned. In addition, we also validated our nomogram for LGG patients who received postsurgical adjuvant therapy through cross-validation and the calibration plot. Finally, we developed a free online tool for this nomogram (softwarewebsite:https://rrlnnomogram.shinyapps.io/LGG_Nom_Asian/). Overall, this model should be a useful tool for counseling patients in clinical practice including treatment decisions, follow-up, and prognosis.

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40

Ma’arif, Burhan, Denis, Arief Suryadinata, Artabah, Hening Laswati, and Mangestuti Agil. "Metabolite Profiling of 96% Ethanol Extract from Marsilea crenata Presl. Leaves Using UPLC-QToF-MS/MS and Anti-Neuroinflammatory Predicition Activity with Molecular Docking." Journal of Tropical Pharmacy and Chemistry 4, no. 6 (2019): 261–70. http://dx.doi.org/10.25026/jtpc.v4i6.213.

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Phytoestrogen is a group of compounds that can replace the estrogen function in the body. One of its roles was as anti-neuroinflammatory by inhibiting the microglia M1 polarity activation. Marsilea crenata Presl. is a plant that suspected to contain phytoestrogens. The aim of this research was to determine the metabolite profile of 96% ethanol extract of M. crenata using UPLC-QToF-MS/MS, and prediction the anti-neuroinflammatory activity of compounds with molecular docking. The 100 ppm of 96% ethanol extract in DCM and methanol were injected 5 µl each into the UPLC-QToF-MS/MS, and then analyzed by Masslynx 4.1 software to determine the compounds. The result of metabolite profiling shows a total 59 compounds in both DCM and methanol. Molecular docking was done with Autodock 4.2.6. After being analyzed, there are 3 compounds that are predicted to have activities similar to 17β-estradiol, they are prochlorperazine, 12-Aminododecanoic acid, and 1-methyl-2-[(4-methylpiperazin-1-yl)methyl]benzimidaol-5-amine hydrochloride. The results showed that the three compounds were predicted to be phytoestrogen compounds from M. crenata leaves, which have potential as anti-neuroinflammatory.

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41

Liu, Yibing, Qingju Meng, Zhiguo Zhou, and Li Jing. "Changes in neutrophil /lymphocyte ratio and platelet count after chemotherapy correlate with cheomtherapy response and predicition of prognosis in patients with advanced gastric cancer." Journal of Clinical Oncology 39, no. 15_suppl (2021): e16030-e16030. http://dx.doi.org/10.1200/jco.2021.39.15_suppl.e16030.

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e16030 Background: The aim of the study was to investigate the predictive value of neutrophil to lymphocyte ratio(NLR) and platelet count(PLT) in the prediction of chemotherapy response and prognosis in patients with advanced gastric cancer. Methods: In this retrospective study, a total of 260 advanced gastric cancer patients were analyzed and the correlation between NLR, PLT and overall survival (OS) were investigated. The receiver operating curve (ROC) was drawn to determine the optimal critical value of NLR. These cases were included and separated into different groups according to the median values of NLR or PLT. Results: Low baseline NLR level correlated with improved clinicopathological characteristics, including organ-free metastasis, Borramn type I and II, tubular adenocarcinoma and papillary carcinoma. Low baseline PLT level also associated with Borramn classification. Alterations in the NLR and PLT levels were associated with therapeutic efficacy and prognosis. The patients who remained in or switched to the low NLR level had an improved objective response rate(ORR), disease control rate(DCR) and survival ratios. The patients who remained in or switched to the low PLT level had an improved DCR. Univariate analyses showed that pathological type, Borramn typing, changes of NLR, and efficacy of chemotherapy were significant predictors of OS. Multivariate analyses showed that pathological type and efficacy evaluation were independent prognostic factor. Conclusions: This study demonstrated that the changes of NLR and PLT following chemotherapy can predict the chemotherapy results in patients with advanced gastric cancer. But, baseline NLR and PLT level haven’t prognostic value in patients with advanced gastric cancer. However, pathological types and the results of the first therapeutic evaluation could have prognostic value in patients with advanced gastric cancer.

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42

Sergienko, Valeriy Ivanovich, Mogeli Shalvovich Khubutiya, Anatoliy Konstantinovich Evseev, et al. "Diagnostic and Prognostic Possibilities of the Redox-Potential Electrochemical Measurements in Blood Plasma." Annals of the Russian academy of medical sciences 70, no. 6 (2015): 627–32. http://dx.doi.org/10.15690/vramn572.

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Aims: Determination of operating characteristics of the test based on blood plasma redox potential monitoring in patients with different pathological conditions associated with impaired oxygen metabolism during treatment in postoperative period and expanding the range of parameters of the developed method of investigation of blood plasma redox potential.Methods: It were examined healthy volunteers group as following group (n =63), groups of patients with transplanted liver (n =64), kidney (n =59), and lungs (n =7). Redox potential measurements were done by platinum electrode, reference electrode was silver-chlorine one. Potentiostate IPC-ProL was used to registrate and record a dependence redox potential via time. Time of measurement was 15 min.Results: statistically significant differencees of redox potentials ranges was found in healthy volunteers and patients with transplanted kidney and liver. Ratio of measured redox potentials coincident with the values within the confidence interval in healthy volunteers was 12% in patients with transplanted kidney and 10% in patients with transplanted liver. We observed significant differences in the nature of changes of blood plasma's redox potential values in course of monitoring of subgroups of patients with and without complications after liver transplantation. It was found that sensitivity of electrochemical method was 85%, selectivity — 69,8%, precision — 85,2%.Conclusion: we discovered value ranges of blood plasma redox potential typical for different pathological states; we detected an interaction between the effect of treatment and quantitative changes in the values of the blood plasma redox potentials; criterion for early predicition of complications in patients with transplanted liver was proposed basing on redox potential monitoring during postoperative period.

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Štimac, D., E. Fišić, G. Poropat, L. Bilić Zulle, V. Licul, and S. Milić. "The Role of IL-6, IL-8, IL-10, sTNFr, CRP and pancreatic elastase in the predicition of systemic complications in patients with acute pancreatitis." Pancreatology 13, no. 2 (2013): e75-e76. http://dx.doi.org/10.1016/j.pan.2012.12.318.

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Zhang, Donghua, Min Dai, Hongsheng Zhou, et al. "Monitoring CML28 mRNA Levels in Patients before and Post HSCT by Real-Time Quantitative RT-PCR." Blood 106, no. 11 (2005): 4478. http://dx.doi.org/10.1182/blood.v106.11.4478.4478.

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Abstract A SYBR Green I real-time quantitative RT-PCR method was established for investigating the correlation between CML28 mRNA expressing levels and relapse of leukemia after allogeneic hematopoietic stem cell transplantation (allo-HSCT). pcDNA3.1HisA-CML28 plasmid had been constructed as the standard template. Serial monitorting of CML28 mRNA levels by SYBR Green I real-time quantitative RT-PCR technique was performed in 14 patients, including 10 patients with CML and 3 patients with AML, 1 patient with Ph+ ALL. The sensitivity of the established method was at 10−4 level, with interassay variation and intraassay variation of standard samples both < 10%. The CML28 was highly expressed in AML and CML-BP or AP. In newly diagnosed group, CML28 was (6.58±2.34)×10−2. In pre-conditioning regimen group was (2.19±0.32)×10−2, in group that 1 month after allo-HSCT was (1.35±1.28)×10−2, in group that 3 months after allo-HSCT was (4.57±6.39)×10−3. CML28 can be detected 3months after HSCT in 1 patient with CML-CP and 3 patients with CML-AP or BC. 2 of them with low level (<2×10−2) survived without relapse, the other 2 patients with high level (>2×10−2) relapsed within one year,1 died and1 received the second time allo-HSCT, CML28 level decreased rapidly after HSCT, but still higher than 2×10−2 and relapsed again. CML28 mRNA level was obviously correlated with the development of diseases. Serial quantification of CML28 mRNA levels were necessary for allo-HSCT recipients, and more informative than a single detection. Use of this assay to evaluate MRD in the patients performed allo-HSCT was helpful for predicition of relapse.

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45

Wei, Jingwei, and Jie Tian. "Radiomics method to predict loss of heterozygosity on chromosome 1p/19q of oligodendroglial tumor." Journal of Clinical Oncology 35, no. 15_suppl (2017): 2043. http://dx.doi.org/10.1200/jco.2017.35.15_suppl.2043.

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2043 Background: Oligodendroglial tumor (OT) is one of the main types of gliomas, which is incurable in current situation. As a tumor-specific genetic alteration of OTs, loss of heterozygosity (LOH) on chromosome 1p/19q indicates a preferable response to chemo/radiotherapy and a better survial, which could be used as a key molecular signature for personalized treatment decision making. However, 1p/19q LOH status is now commonly obtained by fluorescence in situ hybridization after the tumor resection, which is highly likely to lead functin deficit with tumor locating on eloquent area. Thus, a noninvasive predicition on 1p/19q LOH is required. Here, we used a "Radiomics" method to achieve the prediction based on magnetic resonance imaging in this study. Methods: A cohort of 113 OT patients was collected from Beijing Tiantan Hospital. 593 three-dimensional imaging features were extracted on T2-weighted images including textural and non-textural features. We used "minimum redundancy maximum relevance" and "iterative backward elemination and forward inclusion" algorithms to pick up the most effective features with a p-value < 0.05. With the selected features as the input, support vector machine algorithm was adopted to predict the 1p/19q LOH status with 10-fold cross validation. Comparisons were made between the traditional clinical predictors and the established model. Results: The prediction accuracy for 1p/19q LOH turned out to be 86.6%. The top three features contributing most to the prediction were respectively: GlobalUniformity, GaborBankD4GLRLMLGRE and GaborBankD4GLRLMSRLGE. The predictive performance of the radiomics model was proved to be far more valid than the clinical predictors (indistict tumor border and heterogeneous signal intensity) with the higher area under curve (AUC). Compared with the best single feature (GlobalUniformity, AUC: 0.749), this combined-feature model has the best diagnostic performance with an AUC of 0.898. Conclusions: This study reveals the intrinsic association between the imaging features and 1p/19q LOH status, meanwhile, realizes the high precision prediction, providing reliable basis for the pre-operative treatment regime.

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Anup, Jana1. "A Robust Version Predictive Tracking Control for Robotic Manipulators Considering Disturbances." Scandinavian Journal of Information Systems 35, no. 1 (2023): 777–82. https://doi.org/10.5281/zenodo.7807910.

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In our paper of robust version predictive tracking control for robotic manipulators considering disturbances we proposed the control scheme of incorporates and a distrbance observer and to estimate the effects of tthe distruubances occuring from the external on the machine . The control and the approach is sed to optmize the inputs control and minimize the tracking error and the perforamnce of the scheme control is evaluated through simulation and through the expermenent .In this we have demonstrated its effectiveness in tracking the robot accurate and the potential to improve its efficiency abd the safety of the process of industrial and the controbution  for the development in the robotic system and the challenges in its implementation and its importance in various fields of applications the advantages of the proposed scheme such as the ability to handle abd the carious types of distrubances and the uncertainites and the simplicity in the process of tracking the other types of robotic system and there intergration having advanced technology to enchance its performance the main challenge in the implementation of the control scheme is the accuracy of the model of the system and the distrbance and the parameters of the tuning of control abd the data driven approaches and the optimization and the techniques which we have used in the robust version the predicition of tracking system of the control for the robot manipulators are show below in the process of working and the accurate and the robust tracking performance in the presence of distrbances and there uncertainites . The scheme control has the potenial ablity to improve te safety and the effiency in the produuction and the industrial process and the growth in robotic further research is required to explore in for its implementation we have demonstrated the effectiveness of the propsed control scheme the result have show the has a promising soltion for the controlling robotic manipuulators in the pratical applications it can handle the toughness and the stablity to the system.

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47

Sachin, Ramnath Gaikwad, Devi Seeta, Shekhar Sameer, and Dumbre Dipali. "Innovative machine learning approaches for prediction of hypoglycemia in patients with type 2 diabetes." IAES International Journal of Artificial Intelligence (IJ-AI) 13, no. 4 (2024): 4453–71. https://doi.org/10.11591/ijai.v13.i4.pp4453-4471.

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Medical data science advances using machine learning, which predicts glucose levels. A supervised machine learning technique is employed in which regression and classification methods are used to check the prediction performance. The unsupervised machine learning technique makes clusters based on variables' similarities. Furthermore, the prediction accuracy of conventional machine learning techniques is improved by proposing a transfer learning technique. Based on a median value of 67 mg/dL, the data set is divided into two groups: group 1 (BSL 57 mg/dL to 67 mg/dL) has 50.67% of the samples, and group 2 (with BSL 68 mg/dL to 79 mg/dL) has 49.33% of the samples. In regression analysis, 5-fold cross-validation is performed. The decision tree (DT) and gradient boosting (GB) individually provide a prediction accuracy of 18.2%. Regarding classification analysis, a 10-fold cross-validation configuration is used for training and testing the model. AdaBoost, GB, random forest, and neural network achieve an accuracy rate of 66.3% and an area under curve (AUC) score of 0.731. In unsupervised learning, the datasets are divided into three clusters. The clustering result is used in regression and classification models using transfer learning. The accuracy and precision of the AdaBoost and GB are as follows: 69.6%, 0.696 with f1 0.661 and 69.6%, 0.708 with f1 0.708, respectively.

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Heinemeyer, S., M. Mondragón, and G. Zoupanos. "Finite unified theories and their predicitions." Physics of Particles and Nuclei 44, no. 2 (2013): 299–315. http://dx.doi.org/10.1134/s1063779613020159.

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Jović, Srđaj, and Hivzo Skrijelj. "CHIP FORM PREDICITON BY COMPUTATIONAL INTELLIGENCE TECHNIQUES." Journal of Production Engineering 21, no. 1 (2018): 6–10. http://dx.doi.org/10.24867/jpe-2018-01-006.

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50

Burington, Bart, John Shaughnessy, Bart Barlogie, and Crowley John. "Gene Expression Profiling (GEP) of Purified Plasma Cells at Baseline and 48hr after-Dexamethasone (D) or Thalidomide (T) Improve Outcome Predicition of Baseline GEP Alone in Patients with Multiple Myeloma (MM) Treated with Total Therapy 2 (TT2)." Blood 106, no. 11 (2005): 502. http://dx.doi.org/10.1182/blood.v106.11.502.502.

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Abstract The prognosis of patients with MM varies widely. High risk is best captured by cellular and molecular genetic features. Objective: to determine whether predictive power of baseline GEP and metaphase cytogenetic abnormalities (CA) could be improved by availability of GEP data obtained 48hr after single agent D or T, pre-therapy. A total of 668 patients were enrolled on TT2, 323 randomized to T and 345 without T (ASCO 05). When randomized to T/no T, Baseline and 48 hr GEP samples were obtained from 32/41 receiving a test dose of T/D vs 10/14 receiving full VAD+T/VAD regimen. A total of 97 baseline/early treatment GEP pairs were analyzed. Combined baseline expression and 48hr expression changes of 151 genes predicted EFS at a false discovery rate (FDR) of 10%. The table compares baseline EFS high-risk dysregulation to the direction of 48 hour changes, confering improved EFS. Decreases over 48 hours are associated with improved EFS in 74 of 78 genes (upregulated expression confers poor survival at baseline). In the remaining 4, perturbation in the direction of an additional increase may be a marker of early response. With EFS-associated genes, we trained 15 EFS prediction models using baseline expression and 15 prediction models using the change in expression between baseline and 48 hours. Training sets were random splits of 97 patients and baseline and change models separately predicted an EFS risk index in the remaining validation patients (standardized to a variance of 1). Risk indices were compared to an indicator of cytogenetic abnormalities (CA) among validation patients using multivariate proportional hazards analyses. The table shows median hazard ratios and p-values for competing predictors in 15 validation sets. Without cytogenetics, combined GEP baseline and change indices were significant predictors in all 15 validation sets (median combined P-value of 0.002). The table shows median performing GEP model of 15 in a multivariate analysis including cytogenetics for all 97 patients. 48 hour changes in gene expression in newly diagnosed myeloma patients can significantly predict EFS in validated prediction models, alone and in combination with baseline GEP. After adjustment for baseline and 48-hour GEP change indices, metaphase cytogenetics is no longer a significant predictor in independent patient samples. Baseline EFS risk and 48 hour changes associated with good outcome in 151 EFS-associated genes. Improved EFS Decrease (HR&gt;=1 Increase (HR &lt;1) Baseline High Risk Downregulated (HR&lt;1) 6 67 Upregulated (HR&gt;+ 1) 74 4 Median Hazard Ratios and P-values for Multivariate Models in 15 Validation Sets HR P # of p-values below .05 (of 15) GEP baseline Risk 2.1 0.037 10 EP 48 hr change risk 1.9 0.052 7 CA 1.6 0.310 0 Median validation set overall P-value 0.0003 Median GEP EFS baseline/48 hour EFS prediction model n=97 HR P GEP baseline Risk 2.0 0.004 GEP 48 hr change risk 2.6 0.001 CA 1.4 0.330

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