Development of an imputation model to recalibrate birth weights measured in the early neonatal period to time at delivery and assessment of its impact on size-for-gestational age a... by Joanne Katz, James M Tielsch, Luke C Mullany, Diwakar Mohan, Subarna K Khatry, Seema Subedi, Scott L Zeger, Elizabeth A Hazel

“…We aimed to develop an imputation model that predicts the ‘true’ birth weight at time of delivery.Design We developed and applied a model that recalibrates weights measured in the early neonatal period to time=0 at delivery and uses those recalibrated birth weights to impute missing birth weights.Setting This is a secondary analysis of pregnancy cohort data from two studies in Sarlahi district, Nepal.Participants The participants are 457 babies with daily weights measured in the first 10 days of life from a subsample of a larger clinical trial on chlorhexidine (CHX) neonatal skin cleansing and 31 116 babies followed through the neonatal period to test the impact of neonatal massage oil type (Nepal Oil Massage Study (NOMS)).Outcome measures We developed an empirical Bayes model of early neonatal weight change using CHX trial longitudinal data and applied it to the NOMS dataset to recalibrate and then impute birth weight at delivery. …”
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A land-cover-assisted super-resolution model for retrospective reconstruction of MODIS-like NDVI data across the continental United States by blending Landcover300m and GIMMS NDVI3... by Zhicheng Zhang, Zhenhua Xiong, Xuewen Zhou, Kun Xiao, Wei Wu, Qinchuan Xin

“…The model exhibits reasonable predictive capabilities in reconstructing retrospective data when assessed using Landsat data prior to 2000. …”
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Community structure and diversity of myxobacteria in soils from Inner Mongolia, China by Zhihua Wu, Zhihua Wu, Songyuan Li, Xuehan Wang, Xuehan Wang, Huirong Liu

“…The composition of myxobacteria in the soil was determined by 16S rRNA high-throughput sequencing technology to analyze the differences in the community structure of myxobacteria among different groups, explore the relationship between the diversity of myxobacteria resources and the distribution and physical and chemical properties of the soil, and predict and analyze its community function. The results showed that there were abundant myxobacteria resources in the soils of Inner Mongolia, and the average relative abundance of myxobacteria in the soil samples from the central part of Inner Mongolia was higher than that in the eastern and western parts, but the richness and diversity of samples from the central to eastern regions were significantly higher than those from the western regions. …”
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Early weight gain after stopping smoking: a predictor of overall large weight gain? A single-site retrospective cohort study by Alexandra Pankova, Eva Kralikova, Kamila Zvolska, Lenka Stepankova, Milan Blaha, Petra Ovesna, Paul Aveyard

“…We examined whether early large postcessation weight gain predicts overall large weight gain.Design Retrospective cohort study.Setting Primary care setting—smoking cessation centre in Prague, Czech Republic.Participants Out of 3537 patients treated between 2005 and 2013, 1050 were continuous abstainers (verified by carbon monoxide measurement) at 1-year follow-up and formed the cohort of the current report. 48.7% were women (n=511) with the mean age of 46 (±14.4) years.Methods In this retrospective cohort study, all patients underwent usual tobacco dependence treatment using evidence-based methods. …”
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A rare intersection: squamous cell carcinoma of the tonsil and the anti-TIF1 syndrome masquerade by Manush Sondhi, Megan Lear, Saleha Dar, Madiha Tariq

“…Anti-TIF1 antibodies are key biomarkers, with IgG2 isotype levels highly predictive of cancer risk. Common malignancies include ovarian, breast, and lung cancers, often detected within three years of dermatomyositis onset. …”
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Clinical Outcomes of Hepatic Arterial Infusion Chemotherapy Plus Lenvatinib and Tislelizumab for Treating Hepatocellular Carcinoma and Type IV Portal Vein Tumor Thrombus by Li X, Cao K, Fu Z, Chen X, Zhong J, Liu L, Ding N, Zhang X, Qu Z, Zhu L, Zhai J

“…Additionally, PFS was independently predicted only by the best tumor response. In patients with the best tumor response (PR or CR), the median PFS was 11.7 months (95% CI: 8.02-not reached) by mRECIST and 15.4 months (95% CI: 7.39-not reached) by RECIST v1.1. …”
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Association Between GABRG2 and Self-Rating of the Effects of Alcohol in a French Young Adult Sample by Moe JS, Bramness JG, Bolstad I, Mørland JG, Gorwood P, Ramoz N

“…Low sensitivity to the effects of alcohol is influenced by genes and predicts risk for harmful alcohol use and alcohol use disorder (AUD). …”
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Improved diagnosis of small cervical lymph node metastasis using postvascular phase perfluorobutane CEUS in cancer patients by Naxiang Liu, Zhaoming Zhong, Wenrong Lin, Zhongshi Du, Zhougui Wu, Songsong Wu, Lina Tang

“…Hypo-enhancement or no enhancement in the postvascular phase of CEUS show excellent sensitivity (97%) and a high negative predictive value (93%). The area under the receiver operating characteristic (ROC) curve of postvascular phase-CEUS is 0.763, significantly higher than that for US (0.574; P < 0.001). …”
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Multidimension Analysis of the Prognostic Value, Immune Regulatory Function, and ceRNA Network of LY6E in Individuals with Colorectal Cancer by Ting Li, Weidong Liu, Chun Wang, Man Wang, Wenjia Hui, Jiajie Lu, Feng Gao

“…Then, we constructed a ceRNA network (LINC00963/miR-92a-3p/LY6E) and validated it using qRT-PCR. A predictive ceRNA-based nomogram was established and validated. …”
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Association of elevated albumin-corrected anion gap with all-cause mortality risk in atrial fibrillation: a retrospective study by Jia Xu, Zhen Wang, Yun Wang, Xinran Chen, Lan Ma, Xiaochen Wang

“…In multivariate Cox proportional hazards analyses, increased ACAG independently predicted mortality at both 30 days (adjusted hazard ratio [aHR], 1.04; 95% CI, 1.02–1.05; P < 0.01) and 365 days (aHR, 1.03; 95% CI, 1.02–1.05; P < 0.01) after adjusting for potential confounders. …”
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Effects of poultry by-product meal and complete replacement of fish oil with alternative oils on growth performance and gut health of rainbow trout (Oncorhynchus mykiss): a FEEDNET... by Imam Hasan, Simona Rimoldi, Biagina Chiofalo, Marianna Oteri, Micaela Antonini, Rosangela Armone, Violeta Kalemi, Laura Gasco, Genciana Terova

“…Values of fatty acid-related health indexes, including atherogenicity index, and thrombogenicity index, confirmed the high nutritional value of trout filet, thus representing a healthy product for human. In addition, the predictions using the FEEDNETICS™ indicated that the tested novel alternative formulations are economically viable. …”
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Identifying corridors for Asiatic black bear (Ursus thibetanus) in a part of Eastern Himalayas, India by Malyasri Bhattacharya, Debanjan Sarkar, Sneha Pandey, Indranil Mondal, Sambandam Sathyakumar, R. Suresh Kumar, Gautam Talukdar

“…We mapped pinch-points which are habitat where black bear movement is restricted due to unfavorable environments, linear infrastructures, built up/settlements or a combination of factors and our model predicted pinch points near few settlement areas; Mangan, Dikchu, Pangthang, Kabi, Yuksum and Lachen. …”
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Unveiling new therapeutic horizons in rheumatoid arthritis: an In-depth exploration of circular RNAs derived from plasma exosomes by Guoqing Li, Hongyi Chen, Jiacheng Shen, Yimin Ding, Jingqiong Chen, Yongbin Zhang, Mingrui Tang, Nan Xu, Yuxuan Fang

“…The above studies suggested that hsa-circ0002715 and hsa-circ0001946 may become markers for predicting MTX-IR RA patients and TNFi precision treatment.…”
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Circulating Irisin Levels in Patients with Nonalcoholic Fatty Liver Disease: A Systematic Review and Meta-Analysis by Jie Hu, Yani Ke, Fangping Wu, Shan Liu, Conghua Ji, Xiaohong Zhu, Ying Zhang

“…It is important to monitor the changing trend of irisin levels in predicting the course of NAFLD disease and its changes.…”
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Clinical Outcomes of Aberration-Free All Surface Laser Ablation (ASLA) vs. Aberration-Free ASLA Assisted by Smart Pulse Technology in High Myopia: A One-Year Follow-Up Study by XiaoHao Du, Jia Zhang, Meng Su, WenJia Cao, Shuang Zeng, QinMei Wang, Ioannis M. Aslanides, ShiHao Chen

“…Conclusions: Both aberration-free ASLA with and without SPT showed favorable safety, effectiveness, and predictability within 12 months for high myopia. And, ASLA using SPT might have potential advantages in the long-term visual quality.…”
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Shorter Digestion Times of Donor Islets Is Associated With Better Islet Graft Function After Islet Transplantation by Chia-Hao Wang, Christopher Orr, Jeannette Hacker-Stratton, Mohamed El-Shahawy, Keiko Omori, Meirigeng Qi, Fouad Kandeel

“…We previously developed a method that calculated the islet graft function index (GFI) and a patient’s predicted insulin requirement (PIR) using mathematical nonlinear regression. …”
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Creatinine- and Cystatin C-Based Incidence of Chronic Kidney Disease and Acute Kidney Disease in AKI Survivors by Claire Rimes-Stigare, Bo Ravn, Akil Awad, Klara Torlén, Claes-Roland Martling, Matteo Bottai, Johan Mårtensson, Max Bell

“…Age, discharge cystatin C, creatinine at discharge, and female gender predicted creatinine-defined CKD at follow-up. Age, discharge cystatin C, CRRT on ICU, and diabetes were associated with cystatin C-based CKD. …”
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Genesis of the Bieyesamas Monzogranite of the Altay Mountain, Xinjiang, Northwestern China, and Its Rare Metal Resource Potential by Gengbiao Qiao, Xiaoyan Chen, Wenming Li

“…It is preliminarily predicted that they have reached the medium-scale deposits. …”
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Prevalence of neutropenia in the U.S. among reproductive-aged women: a population-based analysis of NHANES 2013–2020 by Junfeng Chen, Shuangna Song, Yiran Li

“…Multivariate logistic regression was performed next, and weighted odds ratios along with the 95% confidence interval values were calculated, which assisted in predicting the prevalence of neutropenia among the female participants. …”
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Klasifikasi Mahasiswa HER Berbasis Algoritma SVM dan Decision Tree by Jajang Jaya Purnama, Hendri Mahmud Nawawi, Susy Rosyida, Ridwansyah Ridwansyah, Risnandar Risnandar

“…SVM can eliminate barriers to data, predict, classify with small sampling and can improve accuracy and reduce errors. …”
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