Quality of life and objective functional impairment in lumbar spinal stenosis: a protocol for a systematic review and meta-analysis of moderators by Andrea Pozza, Fabio Ferretti, Anna Coluccia, Roberto Gusinu, Giacomo Gualtieri, Vitaliano Francesco Muzii

“…Moderators will be investigated through meta-regression.Conclusions A summary of the evidence on quality of life and functional impairment in LSS may suggest clinical and occupational health medicine strategies aimed to timely detect and prevent these outcomes. …”
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Dark Ship Detection via Optical and SAR Collaboration: An Improved Multi-Feature Association Method Between Remote Sensing Images and AIS Data by Fan Li, Kun Yu, Chao Yuan, Yichen Tian, Guang Yang, Kai Yin, Youguang Li

“…Dark ships, vessels deliberately disabling their AIS signals, constitute a grave maritime safety hazard, with detection efforts hindered by issues like over-reliance on AIS, inadequate surveillance coverage, and significant mismatch rates. …”
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Cucumber Leaf Segmentation Based on Bilayer Convolutional Network by Tingting Qian, Yangxin Liu, Shenglian Lu, Linyi Li, Xiuguo Zheng, Qingqing Ju, Yiyang Li, Chun Xie, Guo Li

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Urban Traffic State Sensing and Analysis Based on ETC Data: A Survey by Yizhe Wang, Ruifa Luo, Xiaoguang Yang

“…The construction of multi-source data fusion frameworks enables effective complementarity between ETC data, floating car data, and video detection data, significantly improving traffic state estimation accuracy. …”
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Advancing precision oncology with AI-powered genomic analysis by Ruby Srivastava

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Treatment decisions and surgery variables are predictors of better physical function after total hip and knee arthroplasty: a retrospective cohort study by Janis Nikkhah, Lukas Schöner, Carlos J. Marques, Christoph M. Pros, Reinhard Busse

“…Stepwise selection and multivariate linear regression models were applied to identify variables associated with physical function at discharge and 12 M. …”
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Application of Cyberlindnera fabianii isolate as a potential starter culture in type IV sourdough to improve techno-functional capabilities of barley bread by Alireza Sadeghi, Fahimeh Hajinia, Hossein Purabdolah, Maryam Ebrahimi, Sara Shahryari, Maryam Pahlavani

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Identification, Cloning, and Functional Characterization of Carotenoid Cleavage Dioxygenase (CCD) from <i>Olea europaea</i> and <i>Ipomoea nil</i> by Kaixuan Ke, Yufeng Zhang, Xinyi Wang, Zhaoyan Luo, Yangyang Chen, Xianying Fang, Linguo Zhao

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Antioxidant Peptides from the Fruit Source of the Oil Crop <i>Litsea cubeba</i> Ameliorate FFA-Induced Oxidative Stress Injury: Based on Nrf2/Keap1 Pathway and Molecular Dynamics S... by Li Li, Ying Hu, Yu-Mei Wang, Xiao-Xue Wu, Si-Tong Lin, Hang Li, Ji Zhang, Guo-Rong Fan, Zong-De Wang, Bin Wang, Shang-Xing Chen

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Identification of candidate genes associated with growth and development of sheep from a crossbred population using genome-wide association studies by T. E. Deniskova, O. A. Koshkina, S. N. Petrov, A. A. Sermyagin, N. A. Zinovieva

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Genome-wide association study reveals the genetic basis of vitamin C content in rapeseed (Brassica napus L.) seedlings by Chao Wang, Lieqiong Kuang, Ze Tian, Xinfa Wang, Xinfa Wang, Hanzhong Wang, Hanzhong Wang, Xiaoling Dun

“…Additionally, we selected four superior germplasms (8S079, 8S200, 8S242, and 8S243) that demonstrate extreme Vc content, providing valuable germplasm resources for breeding. …”
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Respiratory Rate Estimation from Thermal Video Data Using Spatio-Temporal Deep Learning by Mohsen Mozafari, Andrew J. Law, Rafik A. Goubran, James R. Green

“…Thermal videos provide a privacy-preserving yet information-rich data source for remote health monitoring, especially for respiration rate (RR) estimation. …”
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Automatic Road Extraction from Historical Maps Using Transformer-Based SegFormers by Elif Sertel, Can Michael Hucko, Mustafa Erdem Kabadayı

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Delineating flood susceptibility zones using novel ensemble models – An application of evidential belief function, relative frequency ratio, and Shannon entropy by Samuel Yaw Danso, Yi Ma, Isaac Yeboah Addo

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Do capture and survey methods influence whether marked animals are representative of unmarked animals? by John R. Fieberg, Kurt Jenkins, Scott McCorquodale, Clifford G. Rice, Gary C. White, Kevin White

“…The lone exception to this rule was for the cohort of radiocollared moose in Minnesota, which exhibited a slight decrease in detection probabilities over time. Differences in detection probabilities for marked and unmarked animals may not be a significant problem for sightability models, provided that the source of the variability can be captured by model covariates (e.g., heterogeneity is tied to an individual's propensity to be in heavy cover). …”
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Enhanced selectivity of carbon quantum dots for metal ion detection through surface modification by heteroatom doping: A study on optical properties and theoretical approach by María Belén Cánchig, Floralba López, Zaillmar Morales-Navarro, Alexis Debut, Karla Vizuete, Thibault Terencio, Manuel Caetano, Juan Pablo Saucedo-Vázquez

“…The study also demonstrated that functionalization with sulfur could modulate emission frequencies, enhancing the detection capabilities for specific ions. …”
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Exploring factors influencing the selection of primary health care delivery models in conflict-affected settings of North West and South West regions of Cameroon and North-East Nig... by Lundi-Anne Omam, Kelli O'Laughlin, Nicholas Tendongfor, Zara Wudiri, Mohammed Ngubdo Hassan, Alain Metuge, Ooju Oluwafemi, Esther Omam, Rosalind Parkes-Ratanshi

“…To ensure efficient use of resources and quality of services, model of care selection should be evidence based and informed by the specific humanitarian context. …”
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Feasibility and case studies on converting small hydropower stations to pumped storage by Yangqing Dan, Qingyue Chen, Daren Li, Wenhuan Bai, Weiming Zhou, Anyu Yang, Jia Yang

“…Through comprehensive analysis and field investigations, Jiangshantou Hydropower Station has been selected as the pilot site for this conversion initiative. …”
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Machine Learning Aided Resilient Spectrum Surveillance for Cognitive Tactical Wireless Networks: Design and Proof-of-Concept by Eli Garlick, Nourhan Hesham, MD. Zoheb Hassan, Imtiaz Ahmed, Anas Chaaban, MD. Jahangir Hossain

“…Due to the vast nature of interference signals in the frequency bands used by cognitive TWNs, it is non-trivial to acquire manually labeled data sets of all interference signals. Detecting the presence of an unknown and remote interference source in a frequency band from the transmitter end is also challenging, especially when the received interference power remains at or below the noise floor. …”
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STRUCTURAL RELIABILITY ANALYSIS BASED ON AN IMPROVEMENT OF THE RESPONSE SURFACE METHOD by ZHANG XueGang

“…Then the sample points near the failure boundary from all sample points were selected after convergence, the limit state function was built by a quadratic polynomial response surface with mixed terms and square terms, and finally the structural reliability was calculated by the Monte Carlo method. …”
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