Rancang Bangun Pengemasan Produk Kacang Goreng Otomatis Berbasis Mikrokontroler by Yusni Hasanah, Nefy Puteri Novani

“…The conclusions of this research are (1) The system can detect the supply of fried peanuts in the funnel/silo using  infrared FC-51 sensor with a distance range of 1 – 8 cm. (2) The system can read the mass input selected by user, namely 75 g, 100 g, and 150 g with a push button and displayed through the LCD. (3) The system can fill the fried peanuts into packages according to the mass that has been set through the KY-008 laser sensor and laser receiver, using the tube volume formula  with a percentage error of 4.5% for a mass of 75 grams, 3.83% for a mass of 100 grams, and 5.41% for a mass of 150 grams. (4) The system can perform the package closing process using servo motors, heating elements, and stepper motors. …”
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Associations between anisometropia and depth of amblyopia in Benghazi, Libya by Sabah Eldressi, Mariam B. Gebril

“…Anisometropic amblyopia occurs in children having a difference in refractive error between the two eyes and occurs in the more ametropic eye. …”
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Forecasting the daily energy load schedule of working days using meteofactors for the central power system of Mongolia by A. G. Rusina, O. Tuvshin, P. V. Matrenin

“…According to the method of statistical analysis, daily load curves were constructed with an absolute percentage error of 2.68%. After adding into account of meteorological factors, the absolute percentage error decreased to 2.26%.CONCLUSIONS. …”
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Deep Learning and Time Series for the Prediction of Monthly Precipitation. A Case Study in the Department of Boyacá, Colombia by Yesid Esteban Duarte, Marco Javier Suárez Barón, Oscar Javier García Cabrejo, César Augusto Jaramillo Acevedo, Carlos Augusto Meneses Escobar

“…Results: According to the results obtained, the LSTM model stands out for its robustness in terms of performance metrics, such as a lower mean squared error, a lower root mean squared error, and a coefficient of determination closer to 1. …”
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A computer-assisted robotic platform for vascular procedures exploiting 3D US-based tracking by Marco Mura, Simone Parrini, Gastone Ciuti, Vincenzo Ferrari, Cinzia Freschi, Mauro Ferrari, Paolo Dario, Arianna Menciassi

“…Tests were performed to evaluate the algorithm in terms of tracking error and precision of locomotion.Results: The 3D imaging US-based algorithm tracked the endovascular device with an error of 6.4 ± 2.8 pixels and a mean displacement between the endovascular device and the preoperative path of 13.6 ± 4.5 mm (computational time of 12.2 ± 1.5 ms and 30.7 ± 6.1 matched features).Conclusions: The MicroVAST platform includes innovative solutions for navigation allowing for an assisted magnetic locomotion of medical devices in the cardiovascular district by combining a 3D imaging US-based tracking algorithm with pre-operative data.…”
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Correction: Glioblastoma induces CAF-like astrocyte activation via the AKT/mTOR–SERPINH1/COL5A1 axis by Jingxian Zhang, Yajia Chen, Hongwu Xu

“…The authors sincerely apologize for this error and confirm that this correction does not affect the scientific content or conclusions of the article. …”
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Erratum: Rab8a/SNARE complex activation promotes vesicle anchoring and transport in spinal astrocytes to drive neuropathic pain

“…This correction does not affect the study’s results, interpretations, or conclusions. We apologize for the error and thank the authors for bringing it to our attention. …”
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Epidemiological trends of hepatitis C incidence and death in Mainland China between 2004 and 2018 and its predictions to 2030 by Guo Tian, Yang Zheng, Yinghua He, Can Chen, Xiaobao Zhang, Yuxia Du, Shigui Yang, Tianan Jiang, Lanjuan Li

“…The BAPC model indicated that the indexes (mean absolute error, MAE; mean absolute percentage error, MAPE; mean squared error, MSE; root mean square error, RMSE) in the BAPC model were better than those of the other models (4.33 × 10− 6, 0.03, 2.34 × 10− 11, 4.84 × 10− 6), and annual reported HCV incidence in mainland China would remain at a high level of 17.92/100,000 until 2030. …”
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Study of the Reactor Control System of MSHIM in AP1000 by Xinyu Wei, Fuyu Zhao

“…The results show that the modified power control system satisfies the needs of reactor core power control and power distribution control. The conclusions have reference value for the engineering practice.…”
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Multi-group global tests for restricted mean survival time and restricted mean time lost: a variable transformation approach by Shuyu Chen, Mengyao Wang, Xingyou Zhou, Wenbin Zhang, Chengfeng Zhang, Zheng Chen

“…However, asymptotic approaches for these metrics suffer from inflated type I error in small samples, limiting their reliability. …”
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Practical guidance to handle missing values in the 25-question Geriatric Locomotive Function Scale (GLFS-25): a simulation study by Sakae Tanaka, Keiko Yamada, Toru Ogata, Hirotaka Chikuda, Kozo Nakamura, Takuya Kawahara, Ryohei Terashima, Ikumi Takashima, Hiromasa Miura, Takashi Ohe

“…The bias and mean squared error of multiple imputation and single imputation were comparable when the number of missing items was less than or equal to eight.Conclusions Multiple imputation is preferable, although single imputation using subject average/subject domain average can be used with practically negligible bias as long as the number of missing items is up to 8 out of 25 items in each individual of the population.…”
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Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional Statistics and Machine Learning Analysis by Jong-Ho Kim, Hye-Sook Kim, Jong-Hee Sohn, Sung-Mi Hwang, Jae-Jun Lee, Young-Suk Kwon

“…Frequent analgesic medication emerged as a significant predictor of poorer life quality (Headache Impact Test-6, root mean squared error = 7.656) and increased depression (Patient Health Questionnaire-9, root mean squared error = 5.07) and anxiety (Generalized Anxiety Disorder-7, root mean squared error = 4.899) in the Random Forest model. …”
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Fetal Birth Weight Prediction in the Third Trimester: Retrospective Cohort Study and Development of an Ensemble Model by Jing Gao, Xu Jie, Yujun Yao, Jingdong Xue, Lei Chen, Ruiyao Chen, Jiayuan Chen, Weiwei Cheng

“…The models were compared using accuracy, mean squared error, root mean squared error, and mean absolute error. …”
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Simulation of the African ITCZ during austral summer seasons and ENSO phases: application of an RCM derived from stretched grid ESM by Teke S. Ramotubei, Teke S. Ramotubei, Willem A. Landman, Mohau J. Mateyisi, Shingirai S. Nangombe, Asmerom F. Beraki, Asmerom F. Beraki

“…Moreover, the RCM also demonstrates a good skill in determining both the descending edge of the HC and the STJ with the highest mean percentage error of 16.3 and 7.5% for the HC and STJ latitudes, respectively.ConclusionsThe November initialization of the RCM skillfully simulates the seasonal migration of the ITCZ (and related characteristics) aligned to the observations and reanalysis datasets. …”
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Assessment of dimensional accuracy, fracture toughness, biaxial flexural strength, and surface roughness of nanozeolite reinforced 3D-printed denture base resin (In-vitro study) by Pansai A. Mohamed, Omnia Ghabour, Yomna Ibrahim, Mai M. Eldokmak

“…Results The printing DA results revealed that the control had the highest percent error in length and width with no significant difference among the study groups, whereas the 0.5% nanozeolite group presented the highest percent error in thickness with a significant difference compared to the control. …”
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Oxford Shoulder Instability Score: cross-cultural adaptation into Spanish and analysis of its methodological quality by Rocio Aldon-Villegas, Gema Chamorro-Moriana, Fernando Espuny-Ruiz, Maria-Luisa Benitez-Lugo

“…Cronbach’s alpha and intraclass correlation coefficient were both 0.93 (IC95%: 0.91–0.94). Standard error of measurement was 0.70, and the percentage of error and smallest detectable change were 1.46% and 1.94, respectively. …”
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Adaptation of the Upper Limb Functional Index (ULFI) to a Polish version and validation in patients with upper limb musculoskeletal disorders by Agnieszka Bejer, Jędrzej Płocki, Marek Kulczyk, Markus Melloh

“…It also demonstrated a high test–retest reliability (r = 0.85). The measurement error was calculated using the standard error of measurement (SEM = 4.75%) and the minimal detectable change (MDC95 = 13.17%). …”
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The Complex α-μ Fading Channel with OFDM Application by Wander H. M. Freitas, Roberto C. D. V. Bomfin, Rausley A. A. de Souza, Michel Daoud Yacoub

“…Several important conclusions concerning the system performance as a function of the channel parameters, namely, nonlinearity, clustering, and power imbalance of in-phase and quadrature components, are drawn.…”
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Ensemble machine learning model for forecasting wind farm generation by A. G. Rusina, Osgonbaatar Tuvshin, P. V. Matrenin, N. N. Sergeev

“…Thus, to ensure the normal operating modes of the energy system, it is necessary to predict the generation of renewable sources with an acceptable error.   PURPOSE. To forecast the generation of wind farms.   …”
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Evaluation of the impact of alveolar nitrogen excretion on indices derived from multiple breath nitrogen washout. by Niklas Nielsen, Jorgen G Nielsen, Alex R Horsley

“…<h4>Conclusions</h4>Excreted nitrogen appears to have complex but clinically significant effects on washout progress, particularly in the presence of abnormal gas mixing. …”
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