A prospective comparison of two ultrasound attenuation imaging modes using different frequencies for assessing hepatic steatosis by Hyeon Ji Jang, Jong Keon Jang, Subin Heo, Boyeon Koo, In Hye Song, Hee Jun Park, Seonghun Yoon, So Yeon Kim

“…Spearman correlation analysis evaluated the relationships of AC with HFF and SRD, and linear regression identified factors affecting AC. …”
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Deep neural networks excel in COVID-19 disease severity prediction—a meta-regression analysis by Márton Rakovics, Fanni Adél Meznerics, Péter Fehérvári, Tamás Kói, Dezső Csupor, András Bánvölgyi, Gabriella Anna Rapszky, Marie Anne Engh, Péter Hegyi, Andrea Harnos

“…We identified both the relevant confounding factors of tool performance using the MetaForest algorithm and the best tools—comparing linear, machine learning, and deep learning methods—with mixed-effects meta-regression models. …”
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The Function of Photocatalytic Performance and Carrier Separation Efficiency Tuned by Doping Content in Homogeneous Photocatalysts by Chunxia Wen, Xinyue Ni, Mei Han, Yue Yu, Chuanqiang Liu, Yuan Zhang, Beining Zheng, Shouhua Feng

“…The clear relationship shown above, which is catalytic capacity mapping with carrier separation efficiency, rather than a linear dependence on sites and oxygen vacancies, fully demonstrates the great potential of simple doping strategies for homogeneous photocatalysts.…”
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Association between the number of pregnancies and hearing loss: NHANES 1999–2018 by Haohong Lai, Juntao Wu, ZhuoYi Chen, Minqian Gao, Haidi Yang

“…Restricted cubic spline regression demonstrated a linear increase in the odds of hearing loss with a greater number of pregnancies. …”
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Adolescent parenthood and HIV-infection in South Africa-Associations with child cognitive development. by Kathryn J Steventon Roberts, Lorraine Sherr, Katharina Haag, Colette Smith, Janina Jochim, Elona Toska, Marguerite Marlow, Lucie Cluver

“…Chi-square tests and ANOVA tests were used to explore maternal and child characteristics according to child HIV status (HIV, HEU, HU) on cognitive development. Linear regression models were used to explore the cross-sectional associations between child HIV status and child cognitive development. 1.2% of children were living with HIV, 20.5% were classified as being HEU and, 78.3% were classified as HU. …”
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Photonics-Assisted Bandwidth-Doubling Dual-Chirp Microwave Signal Generation With Freely-Tunable Central Frequency by Lingjie Zhang, Zhen Zeng, Yaowen Zhang, Zhiyao Zhang, Bao Sun, Shangjian Zhang, Yali Zhang, Yong Liu

“…The dual-chirp microwave signal is generated by heterodyne beating between a dual-chirp optical waveform and a frequency-shifted optical carrier, where the dual-chirp optical waveform is obtained by applying a baseband symmetric-triangle linear frequency modulated signal to a Mach-Zehnder modulator biased at the minimum transmission point, and the frequency-shifted optical carrier is obtained by carrier-suppressed single-sideband modulation in a dual-parallel Mach-Zehnder modulator (DPMZM) with the assistance of an electronic 90° hybrid. …”
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Omalizumab for Chinese patients with moderate-to-severe allergic asthma in real-world clinical setting: a prospective, observational study by Wen Wang, Yue Guo, Jieying Li, Congying Zou, Lifang Zhao, Ya Zhu, Feiran Wang

“…Bowker’s test for paired proportions was performed to compare exacerbation rates before and after treatment initiation. A generalised linear mixed model was used to compare the number of exacerbations.Results The mean treatment duration was 46.6 weeks for the full analysis set (n=398). …”
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Revealing the complexity of depression configurations in HIV-positive men who have sex with men: a fuzzy-set qualitative comparative analysis by Songli Mei, Chengbin Zheng, Leilei Liang, Jian Zhang, Marhaba Kiyum, Junsong Fei, Tongshuang Yuan, Huimin Wang, Jiaying Gao, Xiaoying Liu, Na Du

“…This study simultaneously used two different analysis methods — linear regression model and fsQCA. Results In the regression model, this study found that the sense of coherence has the greatest impact on depression. …”
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Bridging the Gap: Limitations of Machine Learning in Real-World Prediction of Heavy Metal Accumulation in Rice in Hunan Province by Qing-Qian Peng, Xia Zhou, Hang Zhou, Ye Liao, Zi-Yu Han, Lu Hu, Peng Zeng, Jiao-Feng Gu, Rong Zhang

“…Cadmium (Cd) pollution poses a severe threat to rice safety and human health, while traditional linear models exhibit significant limitations in predicting rice Cd accumulation due to environmental complexities. …”
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L-shape association between serum chloride and 365-day mortality in critically ill patients with sepsis based on the MIMIC-IV database by Zhichao Zhao, Fangfang Huang, Jiaqi Shen, Wenqian Lv, Yabo Huang, Jiale Pan, Ting Shen

“…Restricted cubic spline regression modeling indicated a non-linear relationship between serum chloride and mortality risk, with a threshold effect identified at 105 mmol/L (P for non-linearity < 0.05). …”
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The association between a body shape index and diabetic kidney disease in early-onset type 2 diabetes: evidence from a two-center study by Mengdie Chen, Yiyun Wang, Ping Feng, Lijing Wu, Hanying Liu, Yao Liang, Mengyao Yang, Qidong Zheng

“…RCS analysis showed a positive linear relationship between ABSI and DKD risk (P for non-linearity = 0.139), and the findings were consistent across subgroups.ConclusionABSI is positively and linearly associated with the risk of DKD in patients with early-onset T2DM. …”
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Adaptive biases-incorporated latent factorization of tensors for predicting missing data in water quality monitoring networks by Xuke Wu, Xuke Wu, Lan Wang, Lan Wang, Miao Ge, Miao Ge, Jing Jiang, Jing Jiang, Yu Cai, Bing Yang, Bing Yang

“…Building on this insight, this study proposes an adaptive biases-incorporated LFT (ABL) model with four-fold ideas: basic linear biases to describe constant fluctuations in water quality data; weighted pretraining biases to capture historical prior information of data fluctuations; time-aware biases to model long-term patterns of water quality fluctuations; and hyperparameter adaptation via particle swarm optimization (PSO) to enhance practicality. …”
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CD-STMamba: Toward Remote Sensing Image Change Detection With Spatio-Temporal Interaction Mamba Model by Shanwei Liu, Shuaipeng Wang, Wei Zhang, Tao Zhang, Mingming Xu, Muhammad Yasir, Shiqing Wei

“…Recently, the Mamba architecture, based on state-space models, has demonstrated strong global receptive field capabilities and implements linear time complexity in computational processes. …”
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Occupational Exposure to Engine Exhausts and Prostate Cancer Risk by Christine Barul, Marie-Claude Rousseau, Marie-Elise Parent

“…As most associations were not linear, we fitted functions for changes in percentile distributions based on natural cubic splines. …”
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Somatic Symptoms as Idioms of Distress in East Asian Patients With Differing Temporomandibular Disorder Diagnostic Subtypes by Adrian Ujin Yap, Sunghae Kim, Jung Hwan Jo, Byeong-min Lee, Ji Woon Park

“…Data were examined using the Chi-square/non-parametric tests and multivariate linear regression analysis (α = 0.05). Results: Among the 699 patients, somatic symptoms were present in 36.8%, 54.0%, and 48.2% of individuals with intra-articular (IT), pain-related (PT), and combined (CT) TMDs respectively. …”
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Early-life and concurrent predictors of the healthy adolescent microbiome in a cohort study by Hannah E. Laue, Amy D. Willis, Fang Wang, Melinda C. MacDougall, Yingying Xu, Margaret R. Karagas, Juliette C. Madan, Abby F. Fleisch, Bruce P. Lanphear, Kim M. Cecil, Kimberly Yolton, Aimin Chen, Jessie P. Buckley, Joseph M. Braun

“…Using prospectively collected data on sociodemographic characteristics, lifestyle, diet, and sexual maturation, we identified early-life and concurrent factors associated with microbial diversity and phylum relative abundance with linear regression models and composition with Kruskal–Wallis and Fisher’s exact tests. …”
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How mental health status and attitudes toward mental health shape AI Acceptance in psychosocial care: a cross-sectional analysis by Birthe Fritz, Lena Eppelmann, Annika Edelmann, Sonja Rohrmann, Michèle Wessa

“…Method In a German-speaking convenience sample N = 302 participants socio-demographic information, personality factors, mental health status, mental health literacy, and various aspects concerning the integration of AI into psychosocial care (PU, AI awareness, digital skills, app use in general) were assessed. Two linear, stepwise regression analyses were conducted, with PU of AI and the participants’ use of mental health apps in general as dependent variables, respectively, and the above-mentioned variables as predictors. …”
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Associations of MIND and DI-GM dietary scores with depression, anxiety, and gut microbiota in patients with colon cancer: a cross-sectional study by Yaqin Meng, Jing Tian, Xiu Xiu Li, Zhou Xu

“…This study evaluates the associations of the Mediterranean-DASH Intervention for Neurodegenerative Delay (MIND) score and the Dietary Index for Gut Microbiota (DI-GM) with psychological outcomes, inflammatory markers, gut microbiota diversity (Shannon index) and composition (Firmicutes/Bacteroidetes ratio), and tumor biomarkers in colon cancer patients.MethodsA cross-sectional study was conducted on 630 colon Cancer patients. Multivariate linear regression models adjusted for demographic, clinical, and dietary factors assessed associations of MIND and DI-GM scores with depression, anxiety (HADS), sleep quality (PSQI), quality of life (FACT-C), inflammatory markers (CRP, IL-6, fecal calprotectin), F/B ratio, and tumor biomarkers (CEA, CA19-9).ResultsHigher MIND and DI-GM scores were significantly associated with better psychological outcomes and reduced systemic inflammation. …”
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Computationally Efficient Hybrid Downscaling of Surf Zone Hydrodynamics: Methodology and Evaluation by E. R. Echevarria, S. Contardo, B. Pérez‐Díaz, R. K. Hoeke, B. Leighton, C. Trenham, L. Cagigal, F. J. Méndez

“…The LR model fails to account for the complex non‐linearities in coastal wave dynamics, which warrants the use of more complex machine learning techniques. …”
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Assessment of quality of maternal and newborn care and its determinants: a national study of primary health care facilities in Nigeria by Toluwani Oluwatola, Saheed Dipo Isiaka, Oluomachukwu Omeje, Folake Oni, Olugbemisola W. Samuel, Sidney Sampson, Hilda Ebinim, Oluwadamilare Olatunji, Oluwafisayo Ayodeji, Dolapo Ajibola, Stallone Ngobua, Oluwafunmilayo Dehinbo, Helen Ukoh, Leyira Ken-Aminikpo, Segun Adenipekun, Hilary I. Okagbue

“…Subnational differences in QoC among the 36 states and the Federal Capital Territory and the influence of four contextual variables (Basic Health Care Provision Fund-status of PHC, activity of ward development committees, implementation of quality improvement plan, and activity of facility management committees) on QOC were determined using a one-way analysis of variance and multiple linear regression respectively. Results PHCs in Nigeria had QoC scores ranging from 0.06-4.0 and a mean QoC score of 2.07. …”
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