Effectiveness of smartphone technology for detection of paediatric ocular diseases—a systematic review by Sruthi Vijendran, Yash Alok, Neetha I. R. Kuzhuppilly, Jayasheela R. Bhat, Yogish S. Kamath

“…Overall, these applications demonstrated the potential of smartphones in paediatric eye disease detection. Conclusion Smartphone applications are effective tools for detecting important causes of childhood eye disorders such as strabismus, retinopathy of prematurity, chalazion, and refractive errors. …”
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Cardioprotective effects of CoQ10 in pediatric patients with lysosomal storage disorders by Yasmine Abuzaid, Ghada Abdul Moemn Suliman, Osama Abd Rab El Rasool Toulba, Ahmed Abd El Basset Abo Elezz, Alshimaa Badraldeen, Heba Dawoud

“…Given the role of oxidative stress in many inborn errors of metabolism, many studies are evaluating oxidative stress and hence the role of antioxidants in patients with LSDs. …”
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Prediction equation for hardness in heat-affected zone of X80 pipeline welds and its application by Qingmei JIANG, Liyang DENG, Hao WANG, Xiaoqiang ZHANG, Ying ZHEN, Dongdong REN

“…These results indicate a high prediction accuracy of the proposed equation. ConclusionAlthough the equation showed significant errors in predicting the extreme fluctuations and distribution of hardness, it can effectively assess the overall material properties of pipeline weld areas. …”
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Performance evaluation of four antibiotics using the BD Phoenix™ NMIC-413 antimicrobial susceptibility testing panel for carbapenem-resistant Enterobacteriaceae and carbapenem-resi... by Yajuan Guan, Yajuan Guan, Zhenli Song, Yanshan Chen, Yanshan Chen, Jiayu Feng, Jiayu Feng, Yizhi Fan, Yongyu Rui, Yongyu Rui

“…Categorical agreement (CA), essential agreement (EA), very major errors (VME), major errors (ME), and minor errors (MIE) were calculated. …”
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No difference between CT- and MRI-based patient-specific instrumentation for total knee arthroplasty: an updated systematic review and meta-analysis by Long Shao, Long Shao, Xiang-Dong Wu, Xiang-Dong Wu, Yuhao Liu, Xing Wang, Chunyan Li, Kun Tao, Kun Tao, Shicheng Wang, Shicheng Wang

“…The integrated results revealed no significant differences between CT- and MRI-based PSI systems concerning the outlier incidence of coronal overall limb alignment, the outlier incidence of coronal/sagittal alignment of the femoral/tibial component, the angular errors of coronal overall limb alignment, the angular errors of the femoral/tibial component in the coronal plane, or incidence of change of implant size of the femoral/tibial component. …”
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Hyperammonemic Coma in an Adult due to Ornithine Transcarbamylase Deficiency by Daniel L. Roberts, David A. Galbreath, Bhavesh M. Patel, Timothy J. Ingall, Amer Khatib, Daniel J. Johnson

“…Biochemical testing revealed previously undiagnosed ornithine transcarbamylase deficiency, and the patient responded to arginine, sodium phenylacetate, and sodium benzoate. Conclusion. Even in adult patients with no known history, inborn errors of metabolism must be considered in the differential diagnosis of unexplained coma. …”
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Malignancy and tuberculosis coexistence: a case series study by Hind A AL-HASHEMI, Abeer A AL-MOWALI, Noor S JUMMAH, Sawsan S AL-HAROON, Jasim M AL-DIAB

“…All four patients received six months of antituberculosis medication, followed by anticancer treatment. Conclusion. The probability of coexisting TB and cancer necessitates a thorough histological evaluation to minimize diagnostic failure and hence treatment errors.…”
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A Comparative Study of Two In Vivo PET Verification Methods in Clinical Cases by Junyu Zhang, Junyu Zhang, Junyu Zhang, Junyu Zhang, Junyu Zhang, Yan Lu, Yan Lu, Yan Lu, Yinxiangzi Sheng, Yinxiangzi Sheng, Yinxiangzi Sheng, Weiwei Wang, Weiwei Wang, Weiwei Wang, Zhengshan Hong, Zhengshan Hong, Zhengshan Hong, Yun Sun, Yun Sun, Yun Sun, Rong Zhou, Rong Zhou, Jingyi Cheng, Jingyi Cheng, Jingyi Cheng

“…When comparing the mean depth error from the two methods, the paired t-test result shows that the p-value is 0.541, and the standard deviation of the segment-based method is smaller than that of the point-based method.ConclusionIn breast cancer case verification application, point-based and segment-based methods show no significant difference in the mean value of results. …”
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Analysis of terminological literacy of dental lexicon by N. N. Fejzrahmanova, V. N. Trezubov

“…Thus the rather high percent of the errors in written and oral speech of dentists was revealed in all tested editions. …”
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Evaluation of the PP6D5 Polymer as a Novel Non-Viral Vector in the Development of a CRISPR/nCas9-Based Gene Therapy for Tay–Sachs Disease by Jacky M. Guerrero-Vargas, Diego A. Suarez-Garcia, Andrés F. Leal, Ivonne L. Diaz-Ariza, León D. Pérez-Pérez, Angela J. Espejo-Mojica, Carlos J. Alméciga-Díaz

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STag marking visual guidance method for USV docking by Yongxin XIAO, Xianbo XIANG, Dian KONG, Lichun YANG, Shaolong YANG

“…Amplitude limiting filtering and first-order low-pass filtering are then performed to obtain the required lateral offset and heading deviation for line-of-sight (LOS) docking guidance.ResultsIn the static performance test, the average angular error of target detection is 6.85° and the average distance error is 0.056 m. …”
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Statistical-Experimental Investigation of the Effect of Focal Length and Displacement on Laser Drilling of Hastelloy-X Superalloy Sheet using Single Pulse Fiber Laser by Mostafa Ghadimi Dafrazi, Reza Shoja Razavi, Masood Barkat, Ali Khoram, Mohammad Erfanmanesh

“…Also, the variation of the hole diameter was quite acceptable from 183 μm to 1768 μm with the single pulse method on the Hastelloy-X sheet with a thickness of 1 mm.Conclusion: The optimized results of the answers revealed that the maximum value of the hole inlet diameter was 997.848 μm, the maximum hole outlet diameter was 771.341 μm, the taper was 6.492 degrees, and finally the entrance circularity error was 0.0167.…”
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Toward the Question of the Victims' Number of Political Repressions for Orthodox Belief in Russia in ХХ century by Somin Nikolai

“…As a result he makes the conclusion, that the general number of the Victims of Political Repression for Orthodox Belief in Russia during XX c. was about 100 thousand persons (with a margin error in 40 %).…”
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Demographic Assessment of Laser Therapies in 0–18-year-olds: A Retrospective Study by Priyanka, Nancy P Saharia, Shivani Mathur

“…For all the statistical tests, <italic>p</italic> < 0.05 was considered to be statistically significant, keeping α error at 5% and β-error at 20%, thus giving power to the study as 80%. …”
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Comparison of Modern Surgical Techniques in a Treatment of Myopia by Karla Bodakoš, Mateja Jagić, Antonio Kokot

“…Suboptimal refractive result that was corrected by additional correction amounts 1,3 % meaning only 2 of patients underwent the correction procedure due to suboptimal refractive error. Conclusion: Short-term and long-term visual outcome after binocularly performed PRK, LASIK and ICL showed success in all groups. …”
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Nonlinear dynamic characteristics of modified variable hyperbolic circular arc tooth trace cylindrical gears by Dengqiu Ma, Zhenhuan Ye

“…Firstly, the calculation methods or formulas of the time-varying stiffness, transmission error and meshing impact were given. Next, the mathematical model of the modified VH-CATT cylindrical gear was deduced based on the forming theory. …”
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Moral Distress Challenges in Nurses During Early Stage of COVID-19 Pandemic: A Qualitative Study by Ebrahim Aliafsari Mamaghani, Farzaneh Soleymani, Mina Hashemiparast

“…Conclusion: Providing a codified treatment plan at the first opportunity is effective to prevent trial and error in the treatment and care of patients. …”
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SPBO-ANFIS Model of Combined Monthly Runoff Forecasting Based on Singular Spectrum Analysis by ZHANG Yajie, CUI Dongwen

“…In view of the multi-scale non-stationarity and other characteristics of monthly runoff in hydrological time series,this paper proposes a singular spectrum decomposition (SSD)-based model of combined monthly runoff forecasting that integrates the student psychology based optimization (SPBO) algorithm with the adaptive network based fuzzy inference system (ANFIS),namely the SSD-SPBO-ANFIS model.This model is then applied to the monthly runoff forecasting at a hydrological station in Yunnan Province.Specifically,time series data of sample monthly runoff are decomposed into various independent sub-series components through SSD to reduce the complexity of the time series data;then,the principle of the SPBO algorithm is outlined,and eight standard functions are selected for simulation verification and comparison of the SPBO algorithm;finally,the SPBO algorithm is employed to optimize the ANFIS condition and conclusion parameters.The SSD-SPBO-ANFIS model is built to forecast each sub-series,which is then superimposed to obtain the final monthly runoff forecasting result.In addition,the results of the proposed model are compared with those of the ensemble empirical mode decomposition (EEMD)-based EEMD-SPBO-ANFIS model and the SPBO-ANFIS model without decomposition.The following observations can be made from the results:The SPBO algorithm has favorable optimization accuracy;with a mean absolute percentage error of 5.57%,a mean absolute error of 0.20 m³/s,a Nash coefficient of 0.994 8,and a pass rate of 96.7%,the SSD-SPBO-ANFIS model has an effect better than that of the EEMD-SPBO-ANFIS model and far better than that of the SPBO-ANFIS model in forecasting sample monthly runoff.The proposed model and method can provide references for related research on hydrological time series forecasting.…”
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Multi-feature stock price prediction by LSTM networks based on VMD and TMFG by Zhixin Zhang, Qingyang Liu, Yanrong Hu, Hongjiu Liu

“…(sh600009), the VMD–TMFG–LSTM model achieves a 69.76% reduction in Root Mean Squared Error (RMSE), a 71.41% reduction in Mean Absolute Error (MAE), a 46.28% reduction in runtime, and an improvement of 0.2184 in R-squared (R2), indicating significantly higher prediction accuracy. …”
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Model and training method for aerial image object detector with optimization of both robustness and computational efficiency by Alona Moskalenko, Mykola Zaretskyi, Maksym Vynohradov, Vladyslav Babych

“…However, the vulnerability of neural networks to noise, adversarial attacks, and weight error injections significantly diminishes their robustness and overall effectiveness. …”
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