Comparative Community Ecology Reveals Conserved Ectoparasite Microbiomes Amidst Variable Host and Environment Microbiomes by Kelly A. Speer, Luis Víquez‐R, Winifred F. Frick, Ana Ibarra, Nancy B. Simmons, Katharina Dittmar, Ricardo Sánchez Calderón, Raisa Preciado, Rodrigo Medellín, Marco Tschapka, Simone Sommer, Susan L. Perkins

“…However, we know comparatively little about the processes that dictate the composition of non‐maternally inherited bacteria in insect microbiomes, despite the importance of these bacteria in insect health, fitness, and vector competence. …”
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Assessing the effects of reaction variables for enhanced chromium(III) adsorption efficiency using beidellite clay by Abduraboh Alraae, Ali Moussadik, Abdellah Benzaouak, Mohammed Kacimi, Mohammed Dahhou, Aicha Sifou, Adnane El Hamidi

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Leaf Trait Variability and CSR Strategy Shifts in Mediterranean Woody Species along an Edaphic Gradient by Khalil Kadaoui, Jalal Kassout, Vladimiro Andrea Boselli, Soufian Chakkour, Abdelouahab Sahli, Mhammad Houssni, Hassan Bouziane, Mohammed Ater

“…However, intraspecific variability at the local scale has received insufficient attention in the study of CSR strategies. …”
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Climate variability off Africa's southern Cape over the past 260 000 years by K. Purcell, K. Purcell, K. Purcell, M. H. Simon, M. H. Simon, M. H. Simon, E. J. Pryor, E. J. Pryor, S. J. Armitage, S. J. Armitage, H. J. L. van der Lubbe, E. Jansen, E. Jansen, E. Jansen

“…X-ray fluorescence (XRF) core scanning, calibrated with discrete samples analysed by XRF spectroscopy, was used to determine the variability in the bulk elemental composition of the core over time. …”
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Distribution of Size-Fractionated Phytoplankton and Their Relationships with Environmental Variables in Bivalves Mariculture Areas of Haizhou Bay by Xue GONG, Jihong ZHANG, Xinmeng WANG, Wenguang WU, Rongzhao MENG, Liushuyi TAN, Haojie MA

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Mechanical Properties of Multi-Layer Woven E-Glass/Epoxy in Variable Fiber-Mat Directions by Saif Aldeen Ghafel H., Nasri Salh M. Namer, Abdul Jabbar H. Ali

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Intrapartum Amnioinfusion for Recurrent Variable Decelerations and Neonatal Morbidity: A Systematic Review and Meta-Analysis by Brock E. Polnaszek, Julia Rossen, Katherine H. Bligard, Angela Hardi, Emily S. Miller, Methodius G. Tuuli, Adam K. Lewkowitz

“…Background: The objective was to estimate the effect of intrapartum amnioinfusion (AI) for recurrent variable decelerations on neonatal morbidity. The primary outcome was composite neonatal neurologic morbidity assembled from individual neonatal outcomes used clinically with suspected hypoxic-ischemic encephalopathy (HIE). …”
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Association of variabilities in body mass index and metabolic parameters with post-kidney transplantation renal outcomes by Hyo Jeong Kim, Kyung Won Kim, Cheol Woong Jung, Jun Young Lee, Ji Yoon Choi, Beom Seok Kim, Myoung Soo Kim, Jaeseok Yang

“…Furthermore, high variability in metabolic syndrome-related composite indices, such as the triglyceride and glucose index and metabolic variability scores, showed a higher risk for adverse kidney outcomes. …”
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Estimation of Relationship between Inflation and Relative Price Variability: Granger Causality and ARDL Modelling Approach by Saghir Pervaiz Ghauri, Rizwan Raheem Ahmed, Jolita Vveinhardt, Dalia Streimikiene

“…The objective of this research paper is to examine the relationship between relative price variability and inflation by using consumer price index (CPI) of Pakistan. …”
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Variable Selection for Multivariate Failure Time Data via Regularized Sparse-Input Neural Network by Bin Luo, Susan Halabi

“…Both methods are optimized using a composite gradient descent algorithm combining standard gradient steps with proximal updates. …”
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Spatial Variability of Soil Organic Carbon Stock in Gurje Subwatershed, Hadiya Zone, Southern Ethiopia by Temesgen Addise, Bobe Bedadi, Alemayehu Regassa, Lemma Wogi, Samuel Feyissa

“…However, the extent of variability has not been explored in the study area. …”
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Exploring the connection between maternal mental health and partnership, parental role, and satisfaction with various aspects of life using pairfam data: a cross-sectional analysis by Monique Förster, Claudia Kirsch, Julia Habermann, Dorothee Noeres

“…Multiple linear regression analysis was conducted, with the mental health composite scale of the Short Form 12 (Version 2.0) Health Survey as the dependent variable, and the previously mentioned variables as independent variables. …”
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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. …”
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The Graft of ANN-FEM Technique in Macro-mechanics of Multi-oriented Natural Fiber/Polyester Laminates by Christian Emeka Okafor, Christopher Chukwutoo Ihueze

“…Skillful design of low density, low weight and eco-friendly natural fiber composites could provide an alternative material route to the actualization of lighter structures. …”
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Identification and optimization of relevant factors for chronic kidney disease in abdominal obesity patients by machine learning methods: insights from NHANES 2005–2018 by Xiangling Deng, Lifei Ma, Pin Li, Mengyang He, Ruyue Jin, Yuandong Tao, Hualin Cao, Hengyu Gao, Wenquan Zhou, Kuan Lu, Xiaoye Chen, Wenchao Li, Huixia Zhou

“…Conversely, negative correlations were identified between CKD and variables such as sex, high-density lipoprotein cholesterol (HDL-C) levels, and the composite dietary antioxidant index (CDAI). …”
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Dynamic Cascade Spiking Neural Network Supervisory Controller for a Nonplanar Twelve-Rotor UAV by Cheng Peng, Guanyu Qiao, Bing Ge

“…Unknown variables in the environment, such as wind disturbance during a flight, affect the accurate trajectory of multi-rotor UAVs. …”
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Ideological Field Model in the Ossetian Political Narrative by Tatyana Yu. Tameryan, Viacheslav I. Terkulov

“…On the basis of the Ossetian value system, we have identified the conceptual structures that build the ideology family and the conceptual composite in the South Ossetian communication.…”
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Early Desertification Risk in Advanced Economies: Summarizing Past, Present and Future Trends in Italy by Marco Maialetti, Rares Halbac-Cotoara-Zamfir, Ioannis Vardopoulos, Luca Salvati

“…Long-term research initiatives have provided relatively well-known examples of the continuous assessment of the desertification risk carried out via multiple exercises from different academic and practitioner stakeholders, frequently using the Environmentally Sensitive Area Index (ESAI). This composite index based on a large number of elementary variables and individual indicators—spanning from the climate to soil quality and from vegetation cover to land-use intensity—facilitated the comprehensive, long-term monitoring of the early desertification risk at disaggregated spatial scales, being of some relevance for policy implementation. …”
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Association between Advanced Lung Cancer Inflammation Index and 30-day mortality in patients with spontaneous intracerebral hemorrhage: a retrospective cohort study by Jianzhong Ding, Jianzhong Ding, Jiquan Zhang, Wanqiu Lv, Yangchun Xiao, Fang Fang, Wenchao Ma, Yu Zhang, Xiaoli Zhong

“…However, the prognostic value of composite biomarkers, which integrate multiple factors such as inflammation and nutritional status, remains insufficiently explored, particularly in the context of early outcomes following ICH. …”
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Soybean Yield Estimation Using Improved Deep Learning Models With Integrated Multisource and Multitemporal Remote Sensing Data by Jian Li, Junrui Kang, Ji Qi, Jian Lu, Hongkun Fu, Baoqi Liu, Xinglei Lin, Jiawei Zhao, Hengxu Guan, Jing Chang, Zhihan Liu

“…This framework synergistically integrates an optimized bidirectional hierarchical gated recurrent unit (BiHGRU), a Transformer encoder, and a novel Greenness and Water Content Composite Index, with critical parameters optimized by particle swarm optimization (PSO). …”
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