Transepithelial Versus Conventional PRK: A Randomized Controlled Study by Robert Edward T. Ang

“…The mean (standard deviation [SD]) absolute prediction error was 0.26 D (0.23) for conventional PRK and 0.34 D (0.32) for t-PRK, meeting the threshold for demonstration of noninferiority (p = 0.2253). …”
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Assessing the impact of artifact correction and artifact rejection on the performance of SVM- and LDA-based decoding of EEG signals by Guanghui Zhang, Steven J. Luck

“…We assessed decoding performance in relatively simple binary classification tasks using data from seven commonly-used event-related potential paradigms (N170, mismatch negativity, N2pc, P3b, N400, lateralized readiness potential, and error-related negativity), as well as more challenging multi-way decoding tasks, including stimulus location and stimulus orientation. …”
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Two-stage treatment of ametropia in patients with keratoconus and cataracts by M. M. Bikbov, O. I. Orenburkina, A. E. Babushkin, I. F. Nuriev

“…To correct residual refractive error in 5–7 months after stage 1, patients underwent stage 2: cloudy lens was removed and replaced with toric posterior chamber intraocular lens (TIOL) – AcrySof IQ Toric (Alcon, USA), T-fl ex Toric RayOne (Rayner, UK).Results and discussion. …”
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Enhancing Supply Chain Resilience Through Artificial Intelligence: Developing a Comprehensive Conceptual Framework for AI Implementation and Supply Chain Optimization by Meriem Riad, Mohamed Naimi, Chafik Okar

“…Furthermore, I-driven automation and robotics enhance operational efficiency by minimizing human error and streamlining processes. <i>Methodology/Approach</i>: This paper proposes a conceptual framework for strengthening supply chain resilience through AI integration. …”
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Principales dificultades del alumnado universitario novel a la hora de elaborar un texto científico / Main difficulties of novel university students when preparing a scientific tex... by Pedro Vázquez-Miraz, Camila Rentería, María José Martínez, Katherine Zapata

“…Resumen: El presente trabajo de investigación-acción es un análisis mixto de corte descriptivo de los errores de micro-redacción, macro-redacción, metodológicos y de escritura en una presentación pública cometidos por 46 estudiantes noveles de psicología al realizar una recopilación de artículos científicos para una materia académica; escogiéndose el proyecto de mayor calidad del semestre y comparándolo con los demás trabajos académicos de la asignatura. …”
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Forecasting birth trends in Ethiopia using time-series and machine-learning models: a secondary data analysis of EDHS surveys (2000–2019) by Daniel Adane, Assefa Andargie Kassa, Berhanu Abebaw Mekonnen, Rahel Mulatie Anteneh, Chalachew Yenew, Meron Asmamaw Alemayehu, Tilahun Degu Tsega, Sintayehu Simie Tsega, Almaw Genet Yeshiwas, Abathun Temesegen, Habitamu Mekonen, Amare Genetu Ejigu, Abraham Teym, Gashaw Melkie Bayeh, Getaneh Atikilit, Tesfaneh Shimels, Wolde Melese Ayele, Ahmed Fentaw Ahmed, Birhanemaskal Malkamu, Wondimnew Desalegn Addis, Getasew Yirdaw, Chalachew Abiyu Ayalew, Kalaab Esubalew, Zeamanuel Anteneh Yigzaw

“…The models’ performance was evaluated using key metrics such as root mean square error (RMSE), mean absolute error (MAE) and R-squared value.Results GLMNET emerged as the best model, explaining 77% of the variance with an RMSE of 119.01. …”
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An Artificial Intelligence Generated Automated Algorithm to Measure Total Kidney Volume in ADPKD by Jonathan Taylor, Richard Thomas, Peter Metherall, Marieke van Gastel, Emilie Cornec-Le Gall, Anna Caroli, Monica Furlano, Nathalie Demoulin, Olivier Devuyst, Jean Winterbottom, Roser Torra, Norberto Perico, Yannick Le Meur, Sebastian Schoenherr, Lukas Forer, Ron T. Gansevoort, Roslyn J. Simms, Albert C.M. Ong

“…Conclusion: Our AI-based algorithm demonstrates performance comparable to manual segmentation. …”
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Measurement-guided therapeutic-dose prediction using multi-level gated modality-fusion model for volumetric-modulated arc radiotherapy by Changfei Gong, Changfei Gong, Changfei Gong, Yuling Huang, Yuling Huang, Yuling Huang, Junming Jian, Junming Jian, Junming Jian, Wenheng Zheng, Wenheng Zheng, Wenheng Zheng, Xiaoping Wang, Xiaoping Wang, Xiaoping Wang, Shenggou Ding, Shenggou Ding, Shenggou Ding, Yun Zhang, Yun Zhang, Yun Zhang

“…Quantitative experimental predictions show that the proposed model achieved the lowest values for the mean absolute error (37.99) and root mean square error (4.916), and the highest values for the peak signal-to-noise ratio (52.622), structural similarity (0.986) and universal quality index (0.932). …”
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Associations of maternal night shift work during pregnancy with DNA methylation in offspring: a meta-analysis in the PACE consortium by Irene F. Marques, Carola Domènech-Panicello, Madelon L. Geurtsen, Thanh T. Hoang, Rebecca Richmond, Kristen Polinski, Lea Sirignano, Christian M. Page, Anne-Claire Binter, Todd Everson, Amber Burt, Michael Deuschle, Maria Gilles, Fabian Streit, Sunni L. Mumford, Per Magnus, Irwin K. M. Reiss, Marijn J. Vermeulen, Stephanie H. Witt, Inês Chaves, Edwina Yeung, Stephanie J. London, Mònica Guxens, Janine F. Felix

“…Three CpGs were differentially methylated in relation to maternal night shift work during pregnancy at a false discovery rate adjusted P < 0.05: cg10945885 (estimate (β) 0.38%, standard error (SE) 0.07), cg00773359 (β 0.25%, SE 0.05), and cg21836426 (β − 0.29%, SE 0.05). …”
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Clinical features of focal choroidal excavation subtypes and their association with choroidal neovascularization by Yuhong Gan, Guiqin He, Yongyue Su, Yining Zhang, Xiongze Zhang, Hui Chen, Chengguo Zuo, Miaoling Li, Xuelin Chen, Feng Wen

“…Inflammatory FCE was associated with higher myopia (median refractive error:6.00 D, P < 0.001) and reduced choroidal thickness (P = 0.014), whereas pachychoroidal FCE showed increased choroidal thickness. …”
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Clinicopathological characteristics and outcomes of rare histologic subtypes of gallbladder cancer over two decades: A population-based study. by Sandeep Samuel, Sarbajit Mukherjee, Nischala Ammannagari, Venkata K Pokuri, Boris Kuvshinoff, Adrienne Groman, Charles M LeVea, Renuka Iyer

“…All associations were considered statistically significant at an alpha error of 0.01.<h4>Results</h4>Out of 4738 cases, 217 adenosquamous/squamous (4.6%), 367 papillary (7.7%), and 4154 adenocarcinomas (87.7%) were identified. …”
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HSK21542 in patients with postoperative pain: two phase 3, multicentre, double-blind, randomized, controlled trials by Yinbo Zhong, Younian Xu, Qian Lei, Mengchang Yang, Saiying Wang, Xiaoling Hu, Haihui Xie, Yalan Li, Zhong Qin, Zhengfeng Gu, Jiaqiang Zhang, Yuexin Wang, Jinglei Wu, Haiying Wang, Yue Ming, Zhongyuan Xia, Haoyu Zhai, Ke Jiang, Peng Zhang, Zhiping Wang, Liangrong Wang, Lin Li, Zhigang Cheng, Huayong Jiang, Guonian Wang, Jingli Chen, Zhibin Zhao, Xiangdong Chen, Min Yan

“…Both HSK21542-301 (least squares [LS] mean [± standard error], −39.1 [1.88] vs −27.4 [1.89]; P < 0.001) and HSK21542-303 (−64.0 [2.25] vs −45.9 [2.25]; P < 0.001) demonstrated superiority of HSK21542 over placebo in terms of SPID0-24 h, while HSK21542-303 showed non-inferiority to tramadol (LS mean difference, −1.1; 95% confidence interval, −7.4 to 5.1; P < 0.001). …”
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Mixed reality infrastructure based on deep learning medical image segmentation and 3D visualization for bone tumors using DCU-Net by Kun Wang, Yong Han, Yuguang Ye, Yusi Chen, Daxin Zhu, Yifeng Huang, Ying Huang, Yijie Chen, Jianshe Shi, Bijiao Ding, Jianlong Huang

“…Methods: We conducted experiments using a hospital dataset for bone tumor segmentation, used the optimized DCU-Net and 3D reconstruction technology to generate bone tumor models, and used set similarity (DSC), recall (R), precision (P), and 3D vertex distance error (VDE) to evaluate segmentation performance and 3D reconstruction effects. …”
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Motor skills in Peruvian preschool children: A cross-sectional study by Joel Figueroa-Quiñones, Karem Julissa Pariona Espino, Ashley Oliveros Marquez, Cesar Ortiz Huamán, Kiara Saravia Huamán, Kerrily Fiorell Fernández Castilla

“…Additionally, a multiple linear regression analysis with robust standard errors was conducted. Results The results revealed significant differences between regions. …”
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Exploration of key genes associated with oxidative stress in polycystic ovary syndrome and experimental validation by Qinhua Li, Qinhua Li, Qinhua Li, Lei Liu, Yuhan Liu, Yuhan Liu, Yuhan Liu, Yuhan Liu, Tingting Zheng, Tingting Zheng, Tingting Zheng, Ningjing Chen, Ningjing Chen, Ningjing Chen, Peiyao Du, Peiyao Du, Peiyao Du, Hong Ye, Hong Ye, Hong Ye

“…Based on the residuals and root mean square error of the three models, the best performance of RF was derived and 7 key genes (TNFSF10, CBL, IFNG, CP, CASP8, APOA1, and DDIT3) were identified. …”
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Elevated thiamine level is associated with activating interaction between HIF-1α and SLC19A3 in experimental myopic guinea pigs by Zhongyu Ma, Jiawen Hao, Zhaohui Yang, Miao Zhang, Ruixue Zhang, Jizhao Xin, Bo Bao, Xuewei Yin, Xuewei Yin, Hongsheng Bi, Hongsheng Bi, Hongsheng Bi, Dadong Guo, Dadong Guo, Dadong Guo, Dadong Guo

“…Immunofluorescence and immunohistochemistry detected the expression of SLC19A3 and SLC19A3 in choroidal tissues at different modeling times, and protein immunoprecipitation and molecular docking verified the interactions between HIF-1α and SLC19A3.ResultsCompared with the normal control (NC) group, the LIM group guinea pigs showed a significant increase in axial length and decrease in refractive error, as well as a thinning of choroidal thickness and loosening of tissue structure. …”
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BACK TO THE “GOLD STANDARD”: HOW PRECISE IS HEMATOCRIT DETECTION TODAY? by Leonid Livshits, Tal Bilu, Sari Peretz, Anna Bogdanova, Max Gassmann, Harel Eitam, Ariel Koren, Carina Levin

“…This procedure allows overcoming most of the data errors associated with the standard "micro-HCT" evaluation and can replace the use of complicated and expensive automated equipment. …”
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Exploring the changes in functional connectivity of the limbic system in Patients with amnestic mild cognitive impairment treated by acupuncture based on fMRI by Han Yingmei, Li Yijie, Zhang Heng, Feng Ze, Li Weiqing, Zhang Hanxi, Yang Ming, Chu Bingyuan, Wang Feng

“…There were differences in the FC of Seed4, Seed29, and Seed30 in the sham-acupoint group, indicating that there were baseline differences among aMCI patient groups. (2) After acupuncture in the true-acupoint group, the FC between multiple seed points and brain regions decreased, while the differences before and after the intervention in the sham-acupoint group mostly did not pass the Family-Wise Error (FEW) correction. (3) Compared with the HC group, the FC of seed points in both the true-acupoint group and the sham-acupoint group mainly decreased after acupuncture. …”
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Comparison of the Performance Between the Montbiliard × Holstein Crossbred and Holstein Calves in Hot and Humid Areas by Pirouz Shakeri, Hassan Khamisabadi, Mehdi Bahrami Yekdangi, Mahdi Abasy Firouzjaei, Amir Ali Shakeri

“…The means were compared using Tukey’s multiple comparisons procedure with an error level of 5%. Results: In the 6-month fattening period, there was no difference in the average dry matter intake in kg/day and also as a percentage of body weight between M × H calves and H calves (8.356 vs. 7.967 kg/d and 3.23 vs. 3.50 % of BW in M × H and H calves, respectively). …”
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Investigating the Effect of Different Levels of Butyric Acid Glycerides and Clove Oil on Growth Performance, Blood Parameters and Tibia Bone Characteristics of Broiler Chickens by Seyyedeh azam khatami, Mir Daryoush Shakouri, Nemat Hedayat Evrigh

“…The equation of the statistical model of the experiment was according to the relation Yijk = µ + Ai + Bj + (AB)ij + eijk, where Yijk represents the numerical value of each observation, µ is the population mean, Ai is the effect of butyric acid glycerides (0 and 0.2%), Bj was the effect of clove oil (0, 500 and 1000 mg/kg), ij (AB) was the interaction effect of butyric acid glycerides and clove oil, and eijk was the experimental error.Results and Discussion: The results showed that the addition of 0.2% butyric acid glycerides in the diet of broiler chickens reduced feed intake, body weight and daily weight gain compared to the control group (P<0.05). …”
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