Reconstruction of U.S. Regional-Scale Soybean SIF Based on MODIS Data and BP Neural Network by YAO Jianen, LIU Haiqiu, YANG Man, FENG Jinying, CHEN Xiu, ZHANG Peipei

“…Leveraging these inherent nonlinear relationships, compared and analyzed the effects of different combinations of explanatory variables on SIF reconstruction, mainly analyzing the three indicators of goodness of fit R2, root mean square error RMSE, and mean absolute error MAE, and then selecting the best SIF reconstruction model, generate a regional scale, spatially continuous, and high temporal resolution (500 m, 8 d) soybean SIF reconstruction dataset (BPSIF).…”
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Upper-Bound Analysis of Slope Reliability Considering Anisotropic Spatial Variability and Reinforcement with Anti-slide Piles by ZHAO Zi-hao, WANG Jia-rui, FU Tao-tao, ZHU En-lin

“…The safety factors for Examples 1 and 2 were calculated as 1.63 and 1.46, respectively, with an average error of 1.8 % in the verification results. For the anisotropic spatially variable slope, the error in the failure probability is on the order of 10^-3. …”
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Depression detection based on dual path DCGAN data generation and classification-regression network by LU Jingxue, LI Hongyan, ZHENG Ruichao, QIN Ruizhen

“…For residual networks in classification networks, multi-scale convolution is introduced to enhance the information interaction between features, so that residual networks can fully perceive the multi-level information contained in feature maps.Results and Discussions　Feature validity test was carried out for the six emotional features selected, that is, MFCC, MFCC-TEO, LPCC and Jitter features were added in turn on the basis of short-term energy, zero cross rate and sound intensity, and accuracy (Acc), root mean square error (RMSE) and mean absolute error (MAE) under different input characteristics were calculated. …”
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Validación de la prueba de denominación de animales para el diagnóstico de la encefalopatía hepática mínima by A.D. Cano-Contreras, J.A. Velarde-Ruiz Velasco, F. Higuera-de-la-Tijera, C.F. Castillo-Diaz, D. Grajales-Velázquez, I. Méndez-Ruiz, V.A. Jiménez-Hernández, R. Aguirre-Lázaro, J.A. Sánchez-Hernández, H.R. Ordaz-Álvarez, J.M. Remes-Troche

“…El área bajo la curva para el diagnóstico de EHM fue 0.763 (error estándar de 0.081, intervalo de confianza del 95%, 0.604-0.923, p =  < 0.0001). …”
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Validation of the animal naming test for diagnosing minimal hepatic encephalopathy by A.D. Cano-Contreras, J.A. Velarde-Ruiz Velasco, F. Higuera-de-la-Tijera, C.F. Castillo-Diaz, D. Grajales-Velázquez, I. Méndez-Ruiz, V.A. Jiménez-Hernández, R. Aguirre-Lázaro, J.A. Sánchez-Hernández, H.R. Ordaz-Álvarez, J.M. Remes-Troche

“…The area under the curve for diagnosing MHE was 0.763 (standard error, 0.081; 95% confidence interval, 0.604−0.923; p ≤ 0.0001). …”
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Thrombus composition and distribution patterns by thrombus volume in acute ischemic stroke by Jaeseob Yun, Jae Wook Jung, Kwang Hyun Kim, Hyo Suk Nam, Hyo Suk Nam, JoonNyung Heo, Hyungwoo Lee, Byung Moon Kim, Dong Joon Kim, Minyoul Baik, Joonsang Yoo, Jinkwon Kim, Hyungjong Park, Sung-Il Sohn, Jeong-Ho Hong, Tae-Jin Song, Yoonkyung Chang, Jung Hwa Seo, Gyu Sik Kim, Kwon-Duk Seo, Seong Hwan Ahn, Jang-Hyun Baek, Han-Jin Cho, Jin Kyo Choi, Yo Han Jung, Bang-Hoon Cho, Il Kwon, Ji Hoe Heo, Young Dae Kim, Young Dae Kim

“…Thrombus volume was independently related to the RBC proportion (β 1.00, standard error [SE] 0.27, p &lt; 0.001), mixed (β 21.04, SE 10.10, p = 0.038), and erythrocytic pattern (β − 29.78, SE 11.54, p = 0.011). …”
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Insulin-induced lipohypertrophy: clinical and ultrasound characteristics by Vadim V. Klimontov, Mikhail M. Lazarev, Alexey A. Makhotin, Andrey Ju. Letyagin, Lilia A. Anisimova, Dinara M. Bulumbaeva, Elena A. Koroleva, Alexander P. Lykov

“…Insulin-induced lipohypertrophy is associated with errors in injection technique and higher insulin doses.…”
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CHANGES IN REGIONAL PRECIPITATION DISTRIBUTION IN RESPONSE TO GLOBAL WARMING by A. A. Tashilova

“…Linear trends characterizing the trend of the value under consideration for the entire observation period from 1961 to 2018 were constructed using the built-in Excel LINEST worksheet function, which returns the values of the slope coefficients, the errors in their calculation, the coefficient of determination of the model R2 (D, %), F- Fisher's test to determine the significance of the coefficient of determination R2. …”
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Microseismic monitoring and assessment of segmented hydraulic fracturing of horizontal wells in coal seam roofs by Quangui LI, Shuyue PENG, Yunpei LIANG, Wenxi LI, Yanan QIAN, Chunhui CHENG, Changjun YU, Jinfei ZHAN

“…For the same perfo-ration point, the localization errors yielded by the improved wave velocity model decreased by up to 7.22 m compared to those of the initial layered wave velocity model. …”
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Physician burnout, associated factors, and their effects on work performance throughout first-year internships during the COVID-19 pandemic in Thailand: a cross-sectional study by Vithawat Surawattanasakul, Penprapa Siviroj, Wuttipat Kiratipaisarl, Wachiranun Sirikul, Vitchayut Phetsayanavin, Chantarateera Pholvivat, Natcha Auernaruemonsuk, Chanon Lamlert

“…These factors included colleague support, academic counselling, professional satisfaction, income and workload balance, medical errors, work performance, resignation thoughts, and suicidal ideation. …”
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The Role of Vitamin D in the Management of Major Depressive Disorder: A Systematic Review by Andreea Roșian, Mihaela Zdrîncă, Luciana Dobjanschi, Laura Grațiela Vicaș, Mariana Eugenia Mureșan, Camelia Maria Dindelegan, Rita Ioana Platona, Eleonora Marian

“…More rigorous studies, without methodological errors, are needed to correctly and definitively assess the impact of vitamin D in relation to depression.…”
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Identifying the lithologies and thicknesses of coal seam roofs and floors based on multiparameter logging of boreholes by Zhe LI, Baobin GAO, Wenjie LEI, Donghui LI, Zixin LI

“…Repeated logging of a single borehole can improve the accuracy of identified lithologies and thicknesses of rocks. With errors of thickness measurements within boreholes controlled at below 0.2 m, the logging results proved valid. …”
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Investigation of the state of the electric field of the atmosphere in the area of open pit mining by R. Kh. Zekoreev

“…A technique was used for conducting atmospheric-electrical measurements, which excludes errors introduced by various factors, such as the method of placing the measuring equipment, the heterogeneity of the terrain, the weather conditions of the observation point, which was located in the layer of air mass exchange and turbulent diffusion.Results of the study and their discussion. …”
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Preoperative prediction of the Lauren classification in gastric cancer using automated nnU-Net and radiomics: a multicenter study by Bo Cao, Jun Hu, Haige Li, Xuebing Liu, Chang Rong, Shuai Li, Xue He, Xiaomin Zheng, Kaicai Liu, Chuanbin Wang, Wei Guo, Xingwang Wu

“…The nnU-Net model reduces doctors’ manual segmentation errors and workload. Radiomics models aid in preoperative Lauren classification prediction for patients with gastric cancer. …”
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Investigating the effect of land use type on surface water quality in the Talar watershed in Mazandaran by Fatemeh Shokrian, Karim solaimani, Aref Saberi

“…To produce the land use map, atmospheric, geometric and radiometric errors were first corrected, then a land use map was produced using false colour combinations and training samples separately for each year. …”
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Gamified mHealth System for Evaluating Upper Limb Motor Performance in Children: Cross-Sectional Feasibility Study by Md Raihan Mia, Sheikh Iqbal Ahamed, Samuel Nemanich

“…Significant relationships between age and upper limb performance were found: older participants exhibited lower errors with faster completion times compared to younger participants. …”
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Attitudes Toward AI Usage in Patient Health Care: Evidence From a Population Survey Vignette Experiment by Simon Kühne, Jannes Jacobsen, Nicolas Legewie, Jörg Dollmann

“…Respondents expect AI to not only prevent errors but also exceed current reliability standards while strongly disapproving of nontraceable systems (transparency is another important factor, percentage of EV of up to 4%). …”
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Variants of NLRP genes encoding subcortical maternal complex components are linked to biparental placental mesenchymal dysplasia by Ayaka Murase, Hiroyuki Mishima, Saori Aoki, Satoshi Hara, Musashi Kubiura-Ichimaru, Takashi Ohba, Koh-ichiro Yoshiura, Hidenobu Soejima

“…Further studies are needed to elucidate how SCMC dysfunction leads to imprinting errors and to improve the diagnosis and understanding of PMD and related imprinting disorders.…”
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Sorption of picolinic acid by Cu(II)-containing sulfocationite KU-2-8 by H. N. Altshuler, V. N. Nekrasov, S. Yu. Lyrshchikov, O. H. Altshuler

“…The experimental data on the concentrations of all cations in the ion exchanger is in the intervals of the calculated compositions within the limits of measurement errors.Conclusions. KU-2-8 sulfocationite is proposed as a container for obtaining drugs based on picolinic acid and Cu2+ cations. …”
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THE CLINICAL CONFERENCE AS GUIDANCE TO FORMING INTERNS’ PROFESSIONAL COMPETENCIES DURING FORMATION IN THE UMSA’S DEPARTMENT OF POSTGRADUATED EDUCATION OF DENTISTS by T.P. Skripnikova, M.V. Khrebor, Ju. I. Sylenko, O.A. Pisarenko

“…The clinical cases allow interns to profoundly work material out, apply knowledge from interrelated specialties, learn new experiences, try to avoid mistakes and wrong actions, make the right decisions after the example of medical errors that have been identified. During the examination of the patient the knowledge of internal diseases, the pathophysiological substantiation of the symptoms, the use of paraclinical examination methods in the structure of the diagnostic algorithm and the development of the correct tactical and therapeutic approach to the patient are updated. …”
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