An epigenome-wide association study in the case-control study to explore early development identifies differential DNA methylation near ZFP57 as associated with autistic traits by Ellen M. Howerton, Valerie Morrill, Rose Schrott, Jason Daniels, Ashley Y. Song, Kelly Benke, Heather Volk, Homayoon Farzadegan, Aimee Anido Alexander, Amanda L. Tapia, Gabriel S. Dichter, Lisa A. Croen, Lisa Wiggins, Genevieve Wojcik, M. Daniele Fallin, Christine Ladd-Acosta

“…Results We identified a region about 3.5 kb upstream of ZFP57 on chromosome 6 as differentially methylated (family-wise error rate [fwer] < 0.1) by continuous SRS T-score in the full sample (N = 857; fwer = 0.074) and among ASD cases only (N = 390; fwer = 0.021). …”
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Framingham Risk Score Prediction at 12 Months in the STANDFIRM Randomized Control Trial by Thanh G. Phan, Velandai K. Srikanth, Dominique A. Cadilhac, Mark Nelson, Joosup Kim, Muideen T. Olaiya, Sharyn M. Fitzgerald, Christopher Bladin, Richard Gerraty, Henry Ma, Amanda G. Thrift

“…Machine learning methods were poor at determining change in FRS at 12 months (R2<0.22). Conclusions Our findings suggest that change in FRS as an end point in secondary stroke trials may have limited value as it is largely determined at baseline. …”
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Development and validation of a population pharmacokinetic model to guide perioperative tacrolimus dosing after lung transplantation by Todd A. Miano, PharmD, PhD, Athena F. Zuppa, MD, MSCE, Rui Feng, PhD, Stephen Griffiths, BS, Laurel Kalman, BA, Michelle Oyster, MS, Edward Cantu, MD, MSCE, Wei Yang, PhD, Joshua M. Diamond, MD, MSCE, Jason D. Christie, MD, MSCE, Marc H. Scheetz, PharmD, MSC, Michael G.S. Shashaty, MD, MSCE

“…The performance of the final model in the validation cohort was examined with calculation of prediction error (PE). Results: We developed a 1-compartment base model with a fixed rate absorption constant. …”
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System for delivering microwave ablation to subcutaneous tumors in small-animals under high-field MRI thermometry guidance by Jan Sebek, Tej B. Shrestha, Matthew T. Basel, Faraz Chamani, Nooshin Zeinali, Ivina Mali, Macy Payne, Sarah A. Timmerman, Pegah Faridi, Marla Pyle, Martin O’Halloran, M. Conall Dennedy, Stefan H. Bossmann, Punit Prakash

“…One day post ablation, animals were euthanized, and excised tumors were processed for viability assessment.Results Average absolute error between temperatures from fiberoptic sensors and MRIT was 0.6 °C across all ex-vivo ablations. …”
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Utility of serum cytokine testing to differentiate complicated common variable immunodeficiency in resource limited settings by Aditi Jogdand, BS, Karen M. Gilbert, PhD, Joseph S. Hong, BS, Andrew J. Pak, BS, Katherine Liu, BA, Uhuru Kamau, MS, Neha V. Khairnar, MS, MBA, Henry C. Ssemaganda, MD, MS, Daniel DiGiacomo, MD, MPH, Sara Barmettler, MD, MPH, Mei-Sing Ong, PhD, Jocelyn R. Farmer, MD, PhD

“…Background: Common variable immunodeficiency (CVID) is the most common, symptomatic inborn error of immunity (IEI) worldwide. CVID diagnosis requires lymphocyte subset analysis by flow cytometry to delineate risk for autoimmune and inflammatory (AI) disease, known as complicated CVID. …”
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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

“…Conclusions: The ANT1 was shown to be a useful tool for identifying MHE in daily clinical practice. …”
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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

“…Conclusions: The ANT1 was shown to be a useful tool for identifying MHE in daily clinical practice. …”
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Assessment of Corneal Biomechanical Properties and Intraocular Pressure in Myopic Spanish Healthy Population by María A. del Buey, Laura Lavilla, Francisco J. Ascaso, Elena Lanchares, Valentín Huerva, José A. Cristóbal

“…CH and IOPcc were weakly but significantly correlated with SE (r=0.171, P=0.002 and r=-0.131, P=0.021, resp.). Conclusions. Present study showed only a very weak, but significant, correlation between CH and refractive error, with CH being lower in both moderately and highly myopic eyes than that in the emmetropic and low myopic eyes. …”
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Beyond the homozygous paradigm: symptomatic partial biotinidase deficiency in a heterozygous child—first case report from Nepal by Jagdish Kunwar, Bijay Kunwar, Anup Ghimire, Aramva Bikram Adhikari, Binay Aryal, Sachchu Thapa, Bina Prajapati Manandhar

“…MRI, EEG was done thinking of the inborn error of metabolism. A whole exome sequencing identified a heterozygous pathogenic variant in the BTD gene (c.38_44delinsTCC, p.Cys13Phefs*36), and retrospective enzyme assay confirmed partial biotinidase deficiency (3.20 nmol/min/mL; ~25% of mean normal activity). …”
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Development and validation of scales measuring individual, nursing unit, hospital, and community factors related to fertility intentions of female Japanese hospital nurses by Kiyoko Abe, Mayumi Nitta, Kuniko Chiba, Sachiko Tsujita, Yukiko Takada, Miki Sasaki, Mamiko Furuya

“…Except for the child factor scale, the comparative fit index was > 0.950, and the root mean square error of approximation was < 0.070. Cronbach’s α ranged from 0.590 (community factor scale) to 0.807 (child factor scale). …”
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Development and Validation of a Depression Scale for Online Assessment: Cross-Sectional Observational Study by Minjeong Jeon, Hae-In Park, Yoorianna Son, Ji Won Hyun, Jin Young Park

“…ConclusionsThe DSO is a psychometrically sound and clinically relevant tool that captures both core and emerging expressions of depression. …”
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Multi-scale channel attention U-Net: a novel framework for automated gallbladder segmentation in medical imaging by Yiming Zhou, Xiaobo Wen, Xiaobo Wen, Kang Fu, Meina Li, Lin Sun, Xiao Hu

“…Qualitative results revealed that MCAU-Net produced smoother and more accurate boundaries, closer to the expert delineation, with less over-segmentation and under-segmentation and improved robustness.ConclusionsThe MCAU-Net model significantly improves gallbladder segmentation on CT images. …”
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Mapping expanded prostate cancer index composite to EQ5D utilities to inform economic evaluations in prostate cancer: Secondary analysis of NRG/RTOG 0415. by Rahul Khairnar, Stephanie L Pugh, Howard M Sandler, W Robert Lee, Ester Villalonga Olives, C Daniel Mullins, Francis B Palumbo, Deborah W Bruner, Fadia T Shaya, Soren M Bentzen, Amit B Shah, Shawn C Malone, Jeff M Michalski, Ian S Dayes, Samantha A Seaward, Michele Albert, Adam D Currey, Thomas M Pisansky, Yuhchyau Chen, Eric M Horwitz, Albert S DeNittis, Felix Y Feng, Mark V Mishra

“…Final models were selected based on root mean square error (RMSE).<h4>Results</h4>A total of 565 patients in the estimation sample had complete information on both EPIC and EQ5D questionnaires at baseline. …”
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Cervical proprioception, postural control, and pain: unraveling the interconnected challenges in rheumatoid arthritis by Batool Abdulelah Alkhamis, Basant Hamdy Elrefaey, Khalid A. Alahmari, Ghada Mohammed Koura, Fareed F. Alfaya, Ravi Shankar Reddy

“…Mediation analysis revealed that pain significantly mediated the relationship between cervical proprioception and postural control. Conclusions Cervical proprioception is significantly reduced in RA patients and strongly influences postural control. …”
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Aryana-bs: context-aware alignment of bisulfite-sequencing reads by Hassan Nikaein, Ali Sharifi-Zarchi, Afsoon Afzal, Saeedeh Ezzati, Farzane Rasti, Hamidreza Chitsaz, Govindarajan Kunde-Ramamoorthy

“…It outperforms existing methods, such as BSMAP, bwa-meth, Bismark, BSBolt, and abismal, particularly in robustness against genomic biases and alignment of longer, higher-error reads, demonstrating suitability for cancer research and cell-free DNA studies. …”
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Cervical cancer awareness and knowledge gaps among female high school teachers in Benghazi, Libya by Hussien Hamid, Nour E. Almansoury, Zobyda I. Elreshi, Mohamed H.S. Ahmida, Abdulla M. Elmansoury, Mohamed Najah

“…Based on a 95 % confidence interval and a 5 % margin of error, a minimum sample size of 350 participants was calculated using the Qualtrics.com sample size calculator. …”
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Emerging Healthcare Technologies in Gastrointestinal Endoscopy: 75 Years of Evolution by Irina Florina CHERCIU HARBIYELI, Elena Daniela BURTEA, Vlad IOVANESCU, Dan Nicolae FLORESCU, Ion ROGOVEANU, Dan Ionut GHEONEA, Adrian SAFTOIU

“…Machine learning algorithms assist in real-time polyp detection, classification, and predictive analytics, enhancing diagnostic accuracy while reducing inter-observer variability and human error. Machine learning is advancing rapidly, but clinical implementation faces challenges, such as algorithm validation, interpretability, and regulatory concerns. …”
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