The application of intraoperative molecular diagnosis in glioma surgery by HAN Zhe, LI Gang, XUE Hao

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VR & AR TECHNOLOGIES: OPPORTUNITIES AND APPLICATION OBSTACLES by A. V. Ivanova

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Calibration of syndrome measurements in a single experiment by Christian Wimmer, Jochen Szangolies, Michael Epping

“…We give examples of the application of this method to noise estimation and error correction. …”
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Modified spectral ratio method for distant measurement of temperature distribution by multispectral video cameras by K.M. Bulatov, P.V. Zinin, N.A. Khramov

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Application of augmented reality navigation in oral surgery by Anna V. Lysenko, Andrei I. Yaremenko, Vladimir M. Ivanov, Anton Y. Smirnov, Аlexandr I. Lyubimov, Charles S. M. Izzard, Alina A. Prokofeva

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Quantifying observer variance in expansive monitoring program indicator data with heterogeneous-variance mixed-effects models by Leah T. Dreesmann, Timothy R. Johnson, Jason W. Karl

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Features of the pre-analytical stage in quantitative determination of TREC/KREC in peripheral blood by M. A. Saitgalina, Yu. V. Ostankova, A. V. Sedykh, A. A. Totolian

“…When using DNA extracted from DBS with application errors, the majority of samples (64% for newborns, 78% for adults) failed to obtain a result. …”
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Enhancing clinical decision-making: a scenario-based patient simulation study using QR code-based algorithms for the management of acute intoxication-type inborn errors of metaboli... by Merve Koç Yekedüz, Gülçin Bilicen Yarenci, Muhammet Taş, Nilüfer Okur, Fatma Tuba Eminoğlu

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An Adaptive Approach in Channel Quantization for Small Cells Based on Per-Receiver Antenna Quantization by Sanjeeb Shrestha, Xiaoying Kong, Paul Kwan, Xiaojing Huang

“…Additionally, we address the issue of code quantization error (CQE), which arises when two distinct channels are quantized using the same code, as well as the average system error (AvgSysErr), which can increase due to elevated CQE. …”
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Optimal PID controller with evolutionary optimization algorithms for rehabilitation robots by Kamran Joyo, Talha Ahmed Khan, Kushsairy Abdul Kadir, Mohd Nizam Bin Husen, Haidawati Mohamad Nasir, Munaza Azhar

“…The objective functions include Integral Absolute Error (IAE) and Integral Squared Error (ISE). A variety of PID tuning methods were assessed based on core performance indicators such as Integral Square Error (ISE), Integral Absolute Error (IAE), overshoot, rise time, and settling time. …”
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Evaluation of SSM-Wheat Model in Simulating the Growth and Development of Wheat (Triticum aestivum L.) Cultivars in Different Planting Densities by Ali Rahemi karizki, Faramarz Sayyedi, Habib allah Soghi, Arazqlych Marfy, Mojtaba Salehi SHaikhi, Saeed Bagherikia

“…The evaluation of the model using statistical indices of the coefficient of determination and root mean square error also confirmed the model's strength. Overall, the present study confirmed that SSM-Wheat is a simple, robust, and transparent model suitable for agricultural applications aimed at improving technical decision-making in crop management. …”
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Evaluating Machine Unlearning: Applications, Approaches, and Accuracy by Zulfiqar Ali, Asif Muhammad, Rubina Adnan, Tamim Alkhalifah, Sheraz Aslam

“…One approach shows a high forget error of 99.90% with a full test error of 20.68%, while retraining yields a 100% forget error and a test error of 21.37%. …”
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Applicability of formulas for calculating differential renal depth by Luo Jin, Deng Wei, Cao Jiang, Tian Jia-li, Wang Ying, Wang Rong, Li Yan-mei, Zhao Qian, Yang Ji-qin, Li Juan

“…Objective To evaluate the applicability of differential renal depth calculation formulas for Chinese people and provide references for selecting renal depth calculation formulas.Methods The SPECT/CT data were analyzed retrospectively for 234 patients with glomerular filtration rate measured by renal dynamic imaging from May to December 2018.CT depth was measured as the standard, correlation, average difference and 1 cm error rate between six renal depth calculation formulas and CT measurements were compared.Results Strong correlations existed between estimated values of six formulas and measured values of CT.Data analysis showed that the correlation coefficient between Lee’s equation and CT measured values was better than that of the other five formulas, r=0.737 for left kidney and 0.750 for right kidney.The renal depth obtained by Lee’s equation was closest to that measured by CT and the difference was not statistically significant（left kidney mean deviation 0.03 cm, right kidney mean deviation 0.08 cm）.The 1 cm error rate of Tonnesen formula was the largest.And it was 54.70% for left kidney and 57.69% for right kidney.The 1 cm error rates of the other five formulas were tested by X2 test and there was no statistical difference（P>0.05）.Conclusions No significant difference exists between left and right kidney depth calculated by Lee’s equation and the measured value of CT.Its deviation range is small and it is better than the other five formulas.A wider clinical popularization is worthwhile.…”
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Determination of Meropenem by Spectrophotometric-Application to Pharmaceutical Preparations by Nada A. Khalil, Walada H. Ibrahim

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Relative information spectra with applications to statistical inference by Sergio Verdú

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Stereo Vision Method Application to Road Inspection by Marcin Staniek

“…The statistical analysis of the differences permits the judgment of error types.…”
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Development and application of neurosurgery robots and navigation systems by DING Hui, WANG Guang⁃zhi

“…Future advancements may autonomously generate personalized surgical plans to reduce human error, while flexible robotic arms and novel endoscope⁃holding robots could expand endoscopic applications. …”
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Angular Rate Sensor Joint Kinematics Applications by Gregory W. Hall, Jeff R. Crandall, Gregory S. Klopp, Walter D. Pilkey

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Augmentation of Semantic Processes for Deep Learning Applications by Maximilian Hoffmann, Lukas Malburg, Ralph Bergmann

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An explicit forest carbon stock model and applications by Ningning Zhu, Bisheng Yang, Weishu Gong, Shen Ying, Wenxia Dai, Zhen Dong

“…First, the pixel size, forest canopy density, terrain slope, and forest height were used in the construction of EFM; Second, the EFM parameters were solved by simulated forest scene; Third, the EFM was used in simulated and real forest scenes to verify the accuracy, robustness, and applicability, the experiments show that the relative error is about 15%; Finally, the first time mapping forest carbon stock over 200,000 km2 area at 2 m scale was completed by the EFM. …”
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