Application of Artificial Neural Networks in Mineral Resource Evaluation by Saleh M. Al-Alawi, E.E. Tawo

“…Finally, the validated model was used to predict values at unsampled locations in order to determine the feasibility of drilling in these locations. …”
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Genetic Predisposition to Sporadic Cancer: How to Handle Major Effects of Minor Genes? by Remond J. A. Fijneman

“…As a consequence, although allelic variation in one TSG on a permissive genetic Background can have major effects on tumor development, the net effect of allelic variation in multiple interacting TSGs remains hard to predict. Therefore, the predictive value of SNP-analysis to estimate an individuals cancer risk will be restricted to those TSGs that exhibit single-gene effects. …”
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Liver Enzymes as Surrogate Markers of Hepatitis C Histopathology – Avoiding the Liver Biopsy Needle? by Stephen GM Wong, Eric M Yoshida

“…Serum AST values correctly predicted the inflammatory grade in 63 of 79 (80%) patients, and the fibrosis stage in 50 of 79 (63%) patients - higher than the predictive values of ALT. Serum alanine aminotransferase (ALT) values did not correlate with the degree of histological inflammation (r=0.39) but did correlate mildly with the extent of hepatic fibrosis (r=0.51). …”
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Optimization of culture conditions of microalgae in an algal-bacterial system by response surface method by LUO Longzao, ZENG Fanjian, TIAN Guangming

“…After seven days of culture under the optimimum condition, the biomass of microalgae was 5.68 g/L, which was in accordance with the theoretically predicted value (5.69 g/L). The above results can lay a scientific basis for improving the resource recovery efficiency from wastewater by algal-bacterial system.…”
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The diagnostic accuracy of urine lipoarabinomannan test for tuberculosis screening in a South African correctional facility. by Yasmeen Hanifa, Lilanganee Telisinghe, Katherine L Fielding, Justin L Malden, Gavin J Churchyard, Alison D Grant, Salome Charalambous

“…Sensitivity, specificity and predictive values of LAM were calculated using definite and probable tuberculosis combined as our gold standard.…”
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LSTM-conformal forecasting-based bitcoin forecasting method for enhancing reliability. by Xiangyue Zhang, Yuyun Kang, Chao Li, Wenjing Wang, Keqing Wang

“…Subsequently, an LSTM model is built, and data are fed into it and the data is used to train the model to generate predictions. Finally, the predicted values generated by the LSTM are fed into the conformal prediction model, and confidence intervals for these values are generated to verify their reliability. …”
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The validity of monitoring the control of diabetes with random blood glucose testing by O.F. Daramola, B. Mash

“…Retrospective data from a district hospital setting were used to analyse the correlation between glycated haemoglobin (HbA1c) and RBG, the best predictive value of RBG, and its predictive properties. …”
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Comprehensive interaction modeling with machine learning improves prediction of disease risk in the UK Biobank by Heli Julkunen, Juho Rousu

“…In a clinical cardiovascular risk prediction scenario using the established QRISK3 model, the method adds predictive value by identifying interactions beyond the age interaction effects currently included. …”
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Optimized Model Torque Prediction Control Strategy for BLDCM Torque Error and Speed Error Reduction System by Ye Yuan, Cheng Liu, Siyu Chen, Zhenxiong Zhou

“…The relative error between the training set and the predicted values is reduced, and a suitable interval is selected for the target. …”
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A New Approach on Vibrating Horns Design by Maria Violeta Guiman, Ioan Călin Roșca

“…The recorded values were compared with the predicted values. The numerical simulations and tests support the validity of the assumptions used in the horns optimization design.…”
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Multiobjective Optimization System of Extrusion Process Parameters for Targeted Microtubes Based on RSM and NSGA-II by Qingqing Zhang, Guobao Jin, Guanghui Dai

“…The extrusion experiment results, taking three microtubes with different target size characteristics (1, 0.15), (1, 0.2), and (1.5, 0.2) as examples, show that the average error between the actual and predicted values of diameter and wall thickness of three microtubes is 6.53%, where the average diameter error is 7.3%, the wall thickness error is 5.77%, the maximum value is 9%, and the minimum value is only 1.3%.…”
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Improving  the  Financial  Reporting of  Organizations  in the Digital Economy by T. Yu. Druzhilovskaya, E. S. Druzhilovskaya

“…The article analyzes the problem of the relationship between the development of the digital economy and ensuring the qualitative characteristics of financial statements, such as relevance, predictive value, confirming value, materiality, fair representation, completeness, neutrality, comparability, verifiability, timeliness, clarity and being error-free. …”
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Predictors for Gangrene and Perforation of Gallbladder Wall in Patients with Acute Cholecystitis by Polina Marinova

“…The total possible score was 11 points. The positive predictive value of the scale was 96% and identified the cases with micro-perforation and perivesical abbesses among the group with the highest total score.…”
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Diagnostic Utility of Endocan and Interleukins for Late-Onset Neonatal Sepsis by Preslava Gatseva, Alexander Blazhev, Zarko Yordanov, Victoria Atanasova

“…The best sensitivity (78%) and negative predictive value (84%) was found for IL-6. The introduction into routine practice of indicators such as PCT and IL-6 may provide an opportunity to promptly optimize the diagnostic and therapeutic approach to LOS.…”
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On Improving the Performance of Dynamic DCVSL Circuits by Pratibha Bajpai, Neeta Pandey, Kirti Gupta, Shrey Bagga, Jeebananda Panda

“…Lastly, the gates based on the third architecture achieve similar leakage power reduction values to the second one but are not able to exhibit the same speed advantage as achieved with the first architecture.…”
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BUDAYA BANYUMAS SEBAGAI SUMBER BELAJAR IPS DI KABUPATEN BANYUMAS by Amin Hidayat

“…<p>Banyumas culture can be used as a source of learning for junior high students in the region Banyumas. In addition to contributing significantly to the maintenance and preservation of local culture as an integral part of national culture, learning the IPS will be more meaningful for students. Banyumas have the kinds of art, unique cultural traditions, and historical sites with very high philosophical and educational value.The types of art, tradition and history as a component or element of Banyumas Culture which is prominent and important to be appointed are: History of Banyumas, Tradition of Banyumas, Arts and Heritage of Banyumas . Various alternative learning strategies can be chosen and applied social studies teacher in utilizing Banyumas Culture as a source of learning, one of them is, by applying contextual lear-ning model. It is possible to still refer to the applicable curriculum, namely KTSP.…”
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Evaluating Sustainability in the Protection of Intangible Cultural Heritage Through Sports Practices under the Triangular UnderConorm by Junjie Lv, Shaokun Ma

“…The results emphasize how important cultural authenticity, educational value, environmental alignment, and local involvement are to long-term preservation. …”
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DEVELOPMENT OF AN ELECTRIC BICYCLE FOR A SHARING SYSTEM IN PRAGUE by William Deleenheer, Lukáš Jáneš, Akshaya Jayakumar

“…Being equipped with devices for e-bike monitoring, controlling and data recording for a post trip analysis, this prototype is also intended to have an educational value for future students in the project. Results consist of an electrical bicycle configuration that matches the requirements and a sketch of an ideal e-bike for this project.…”
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Machine learning training data: over 500,000 images of butterflies and moths (Lepidoptera) with species labels by Friederike Barkmann, Andreas Lindner, Ronald Würflinger, Helmut Höttinger, Johannes Rüdisser

“…Abstract Deep learning models can accelerate the processing of image-based biodiversity data and provide educational value by giving direct feedback to citizen scientists. …”
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Predicting the Risk of Preterm Birth Throughout Pregnancy Based on a Novel Transcriptomic Signature by Yang Pan, Yuxin Ran, Dongni Huang, Nanlin Yin, Yanqing Wen, Yan Jiang, Yamin Liu, Hongbo Qi

“…It aimed to identify the transcriptomic signature essential for the occurrence of PTB and evaluate its predictive value in early, mid, and late pregnancy and in women with threatened preterm labor (TPTL). …”
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