Associations of Prenatal Socioeconomic Status and Childhood Working Memory: A Structural Equation Modeling Approach by Shelley H. Liu, David Bellinger, Kristen Dams-O’Connor, Jeanne A. Teresi, Ivan Pantic, Sandra Martínez-Medina, John Chelonis, Martha M. Téllez-Rojo, Robert O. Wright

“…Study Design: We used data from a prospective birth cohort study in Mexico City, Mexico, with N = 515 children aged 6–9 years. …”
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Protocol for a multicentre, prospective observational cohort study in Japan: association among hospital-acquired disability, regular exercise and long-term care dependency in older... by Tetsuya Takahashi, Kentaro Iwata, Hidetaka Watanabe, Masayuki Tahara, Masakazu Saitoh, Tomoyuki Morisawa, Akihiro Sakuyama, Koji Sakurada, Yusuke Hanafusa, Yusuke Ochi, Go Takamura, Akira Minei

“…We will conduct medical record reviews to collect data on patient demographics, comorbidities, operative details, progression of in-hospital postoperative cardiac rehabilitation and functional trajectory from a few days before cardiac surgery to the day before hospital discharge. …”
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Serum Ferritin as a Predictor of Hospital Mortality in Critically Ill COVID-19 Patients by Ferhat Soykan, Demet Bolukbasi, Erol Toy, Nazan Has Selmi, Asiye Yavuz, Behiye Deniz Kosovali, Nevzat Mehmet Mutlu, Aliye Bastug, Derya Gokcinar, Belgin Akan, Seval Izdes

“…The median maximum ferritin in the survivor group was 486.6 µg/L (187.9–1020.0), while it was 1456.7 µg/L (578.5–4388.1) in the deceased group (<i>p</i> < 0.001). In the receiver operating characteristic (ROC) curve analysis, the cut-off baseline ferritin value was 201.5 µg/L for the prediction of mortality (area under the curve [AUC] = 0.615, <i>p</i> < 0.001, 95% Confidence interval [CI]: 0.557–0.671). …”
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Associations between the Platelet Lymphocyte Ratio and Albumin with Plaque Calcification in Patients with Acute Coronary Syndrome: An Optical Coherence Tomography Study by Kexin Song, Wenjing Yao, Haihao Yan, Yan Zhang, Yanhong Li, Tianxing Li, Qian Yang, Feifei Zhang, Yi Dang

“…Both the PLR (odds ratios (OR) 1.011, 95% CI 1.002–1.019, p = 0.014) and albumin levels (OR 0.642, 95% CI 0.539–0.764, p < 0.001) emerged as significant independent predictors of plaque calcification. Receiver operating characteristic curve analysis identified a cutoff point for albumin at <40.65, yielding a sensitivity of 75.8% and a specificity of 77.9%, Comparatively, a PLR >145.04 demonstrated a sensitivity of 61.3% and a specificity of 76.5% for predicting plaque calcification. …”
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Evaluation of dentin thickness preservation and the efficiency of instrumentation between traditional and guided endodontic access in mandibular central incisors by Pooja R. Kesharani, Shalini D. Aggarwal, Nishtha K. Patel, Jhanvi Patel, Ankita Bansal, Naman Patel

“…Conventional endodontic access cavities were made in Group −1, and guided access openings were done in Group – 2. Post-operative CBCT scans were taken to measure the RDT canal centering ability of each approach.The data was examined using a one-way analysis of variance, followed by Tukey's post-hoc test for multiple pairwise comparisons, with a significance level set at p < 0.05. …”
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Assessing the effectiveness of small vessel pollution control regulation on water quality in the Yangtze River by Kaile Jiang, Shuangbo Liang, Fuping Wang

“…Utilizing a Regression Discontinuity Design (RDD), ordered probit models, and an S-learner approach, the study compares water quality data from five weeks before and after the policy’s introduction. …”
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Risk factors for mortality in patients with primary biliary cholangitis: a nomogram to predict 5-year survival by Yaxing Liu, Muyu Gao, Bin Li, Long Liu, Yao Liu, Ying Feng, Xiaojing Wang, Xianbo Wang, Guiqin Zhou

“…The model was evaluated with Receiver Operating Characteristic (ROC) curves, calibration curves, Decision Curve Analysis (DCA).Kaplan-Meier (KM) curves compared OS across risk groups. …”
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Revolutionizing total hip arthroplasty: The role of artificial intelligence and machine learning by Umile Giuseppe Longo, Sergio De Salvatore, Alice Piccolomini, Nathan Samuel Ullman, Giuseppe Salvatore, Margaux D'Hooghe, Maristella Saccomanno, Kristian Samuelsson, Rocco Papalia, Ayoosh Pareek

“…Abstract Purpose There has been substantial growth in the literature describing the effectiveness of artificial intelligence (AI) and machine learning (ML) applications in total hip arthroplasty (THA); these models have shown the potential to predict post‐operative outcomes using algorithmic analysis of acquired data and can ultimately optimize clinical decision‐making while reducing time, cost and complexity. …”
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Clinical effects of da Vinci® robotic-assisted total mesorectal excision for rectal cancer by Sun Zhanyuan, Li Hai, Hou Shaohua, Chang Xin, Zhou Jie, Yang Bao

“…[Methods] A retrospective analysis was conducted on the clinical data of 193 rectal cancer patients treated in the Department of Colorectal Surgery, General Hospital of Ningxia Medical University, from October 2022 to October 2023. …”
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Machine Learning-Based Intrusion Detection Systems for the Internet of Drones: A Systematic Literature Review by Mostafa Ogab, Sofiane Zaidi, Abdelhabib Bourouis, Carlos T. Calafate

“…This infrastructure enables seamless real-time data exchange and collaborative operations across diverse applications, ranging from surveillance to delivery services, while ensuring adaptability, scalability, and security in dynamic aerial environments. …”
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Feasibility and safety of transesophageal endoscopic resection for benign mediastinal tumors by Jia YU, Liyun MA, Wei SU, Shengli LIN, Quanlin LI, Pinghong ZHOU, Pingting GAO

“…Methods A retrospective analysis was conducted on the clinical data of 17 patients who underwent transesophageal endoscopic resection for benign mediastinal tumors at the Endoscopy Center of Zhongshan Hospital, Fudan University, between January 1, 2016 and December 31, 2024. …”
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A nomogram for predicting cancer-specific survival in patients with locally advanced unresectable esophageal cancer: development and validation study by Liangyun Xie, Yafei Zhang, Xiedong Niu, Xiaomei Jiang, Yuan Kang, Xinyue Diao, Jinhai Fang, Yilin Yu, Jun Yao

“…This study aims to develop and validate a nomogram to predict cancer-specific survival (CSS) in these patients.MethodsClinicopathological and survival data for patients diagnosed between 2010 and 2021 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. …”
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Development and validation of a nomogram for predicting lung cancer based on acoustic–clinical features by Zhou Lu, Zhou Lu, Jiaojiao Sha, Xunxia Zhu, Xiaoyong Shen, Xiaoyu Chen, Xin Tan, Rouyan Pan, Shuyi Zhang, Shi Liu, Tao Jiang, Jiatuo Xu

“…The clinical utility was estimated by decision curve analysis (DCA) to confirm the predictive value of the nomogram. …”
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Excessive iron accumulation in the striatum associated with addictive behaviors of medication-overuse headache: a prospective study by Xun Pei, Xiaoyan Bai, Xue Zhang, Zhangxuan Hu, Wei Wang, Xueyan Zhang, Yingkui Zhang, Hefei Tang, Yaqing Zhang, Xueying Yu, Ziyu Yuan, Peng Zhang, Tong Chen, Yuanbin Zhao, Xiuqin Jia, Qi Yang, Yonggang Wang, Binbin Sui

“…Correlations between QSM values and clinical assessment scale scores were calculated. Receiver operating characteristic (ROC) analysis was used to assess the diagnostic performance of QSM values in these DGM for detecting CM and CM with MOH. …”
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LGBT Actors, Ritual and Martial Arts Groups, and State-Building in Post-Conflict Timor-Leste by Lili Chen, Laura Sjoberg

“…We start by contextualizing RAGs and MAGs in post-conflict Timor-Leste before discussing the interviews that we did and the methods we used to collect and analyse data. We then present our data analysis in three sections —engaging questions about genders and sexualities in RAGs and MAGs in Timor-Leste, these organizations’ relationships to their communities and their propensities (or lack thereof) to violence, and then these organizations’ role in community-building and state-building. …”
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Construction of a clinical prediction model for overall survival and cancer-specific survival in malignant phyllode tumor of the breast based on the SEER database by Chenggeng Pan, Ruokuo Han, Senzhe Xia, Dingwei Fan, Daqing Yang, Haiguang Ma

“…Model performance was assessed using metrics such as the calibration curve, area under receiver operating characteristic curve (ROC), and decision curve analysis (DCA). …”
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MCPA: multi-scale cross perceptron attention network for 2D medical image segmentation by Liang Xu, Mingxiao Chen, Yi Cheng, Pengwu Song, Pengfei Shao, Shuwei Shen, Peng Yao, Ronald X. Xu

“…Abstract The UNet architecture, based on convolutional neural networks (CNN), has demonstrated its remarkable performance in medical image analysis. However, it faces challenges in capturing long-range dependencies due to the limited receptive fields and inherent bias of convolutional operations. …”
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Comparison of the association between different dietary pattern scoring indices and periodontitis and their population heterogeneity by Rui Zhang, Zushan Zhang, Shuming Ji, Wenjie Yang, Tengfei Long

“…Odds ratios (ORs) for the dietary indices were adjusted by one-fourth of their scoring range to compare the effect sizes; and diminishing marginal receiver operating characteristic (ROC) curves analysis with univariate exclusion in the overall model was used to compare the contribution of the dietary indices to periodontitis. …”
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Characteristics of electrophysiological activity of the cerebral cortex in children with arthrogryposis by E. D. Blagoveschenskiy, O. E. Agranovich, E. L. Kononova, A. G. Baindurashvili, M. A. Nazarova, A. N. Shestokova, E. L. Gabbasova, V. V. Nikulin

“…The results were evaluated in accordance with clinical scales.Results. Data analysis has shown that children with arthrogryposis have significantly decreased EEG power in all of the studied ranges compared to healthy children. …”
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Coupled Productivity Prediction Model for Multi-Stage Fractured Horizontal Wells in Low-Permeability Reservoirs Considering Threshold Pressure Gradient and Stress Sensitivity by Long Xiao, Ping Yue, Hongnan Yang, Wei Guo, Simin Qu, Hui Yao, Lingqiang Meng

“…Validated against actual production data from an offshore oilfield and benchmarked against classical models, the proposed model demonstrates satisfactory accuracy and reliability. …”
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