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  1. 701
  2. 702

    Variability and reliability of gait kinematic parameters after controlled tripping in older adults: a preliminary study by Roberta Castilhos Detanico Bohrer, Angélica Lodovico, Marcia Regina Irber Kertscher, Gleber Pereira, André Luiz Felix Rodacki

    Published 2017-11-01
    “…The variability of spatiotemporal and intra- and inter-day angular parameters was low for most variables, except for plantar flexion. …”
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    Article
  3. 703

    Multi-Variable Transformer-Based Meta-Learning for Few-Shot Fault Diagnosis of Large-Scale Systems by Weiyang Li, Yixin Nie, Fan Yang

    Published 2025-05-01
    “…In order to deal with the multi-variable time series data, we modify the Transformer model, which is the currently most popular model on feature extraction of time series. …”
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  4. 704

    Relationship between Duration of Symptom Onset and Hospital Admission with other Variables Among COVID-19 Patients by Yoganathan Chidambaram, Sujith Kumar S, Saravanan T, Merlin Veronika

    Published 2025-04-01
    “…Common symptom reported was fever (63.45%), followed by cough (58.32%), myalgia (23.79%), and breathlessness (14.93%), with the most prevalent comorbidity being diabetes (36.7%). …”
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  5. 705

    YIELD STRUCTURE ELEMENTS OF LEAFY AND LEAFLESS PEA SAMPLES: VARIABILITY, CORRELATION AND PROSPECTS OF THEIR USE IN THE BREEDING PROCESS by A. R. Ashiev, K. N. Khabibullin, M. V. Skulova

    Published 2019-07-01
    “…The studies on the variability and correlation of the yield elements of leafy and leafless pea samples have shown that ‘number of kernels per plant’ and ‘kernel weight per plant’ are most variable traits. …”
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  6. 706
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    The use of cluster analysis in the classification of similarities in variables associated with agricultural greenhouse gases emissions in OECD countries by Alicja Kolasa-Więcek

    Published 2013-03-01
    “…This method is based on grouping of elements in a relatively homogeneous class. The most popular non-hierarchical clustering method is k-means. …”
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  8. 708

    Quantitative Variables Derived from the Electroencephalographic Signal to Assess Depth of Anaesthesia in Animals: A Narrative Review by Susanne Figueroa, Olivier L. Levionnois, Alessandro Mirra

    Published 2025-08-01
    “…Information was charted by animal species and reported EEG-derived variables. The most frequently reported variables were spectral edge frequencies, spectral power metrics, suppression ratio, and proprietary indices, such as the Bispectral Index. …”
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  9. 709
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  11. 711

    THE CLIMATE VARIABILITY OF THE AGRICULTURAL YEAR 2016- 2017 CASE STUDY: THE SOUTH-WEST OLTENIA REGION, ROMANIA by Dana Maria (OPREA) CONSTANTIN, Ion MARINICĂ, Nicoleta IONAC, Andreea Floriana MARINICĂ, Elena GRIGORE, Elena BOGAN, Florina TATU

    Published 2020-01-01
    “…As a whole, the agricultural year was droughty in most of the region, with an average annual rainfall of 587.4 mm. …”
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  12. 712

    Trends of climate variability and its association with farmers’ perceptions of climate change in Gassera district, southeastern Ethiopia by Henok W/Yohannes Aniye, Tsegaye Bekele, Walelign Worku

    Published 2025-02-01
    “…The results revealed significant (Ρ = 0.00) increasing trends in annual temperature, a decrease in annual rainfall of 2.92 mm/year, and severe rainfall variability for the Belg season. Most of the interviewed farmers reported increases in temperature, erratic rainfall, and drought frequency of 96.24%, 86.47%, and 89.73%, respectively. …”
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  13. 713

    Self-Excited Vibration Analysis of Gear-Bearing System with Multipoint Mesh and Variable Bearing Dynamic Coefficients by Hao Zhang, Shiheng Cao, Pengyu Li, Qingkai Han

    Published 2022-01-01
    “…The gear-bearing system is the most important part of integrally centrifugal compressors. …”
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  14. 714
  15. 715

    Modeling the spatial relationship between bike-sharing stations and urban centrality using geographical weight variables by Jianyu Li, Mingxing Hu, Xinyu Zhang, Bing Han, Junheng Qi, Jiemin Zheng, Hui Wang

    Published 2025-08-01
    “…On the basis of existing research on geographically weighted statistical methods, we propose a method for transforming spatial characteristics into geographical weight variables (GWVs). Based on the Xuzhou SBBS dataset, machine learning models with GWVs achieve results that are superior to those resulting from most of the spatial regression models and baseline machine learning models with this SBBS dataset. …”
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  16. 716

    Using a Fuzzy NSBM Model with Shared Resources and Undesirable Variables for the Assessment of Universal Banking System by Homa Ghasemi, Esmaeil Najafi, Farhad Hosseinzadeh Lotfi, farzad movahedi

    Published 2022-03-01
    “…With regard to the entry of most banks into the competitive environment of universal banking, as a customer-centric approach aiming to provide financial services to customer groups, it is important to assess the performance of the business process in bank branches using this approach. …”
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  17. 717

    Patterns of changing surface climate variability from the Last Glacial Maximum to present in transient model simulations by E. Ziegler, E. Ziegler, N. Weitzel, J.-P. Baudouin, M.-L. Kapsch, U. Mikolajewicz, L. Gregoire, R. Ivanovic, P. J. Valdes, C. Wirths, K. Rehfeld, K. Rehfeld

    Published 2025-03-01
    “…A reanalysis of the LGM exhibits similar global mean variability to most of the ensemble, but spatial patterns vary. …”
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  18. 718

    Improving the Classification Accuracy for Near-Infrared Spectroscopy of Chinese Salvia miltiorrhiza Using Local Variable Selection by Lianqing Zhu, Haitao Chang, Qun Zhou, Zhongyu Wang

    Published 2018-01-01
    “…In order to improve the classification accuracy of Chinese Salvia miltiorrhiza using near-infrared spectroscopy, a novel local variable selection strategy is thus proposed. Combining the strengths of the local algorithm and interval partial least squares, the spectra data have firstly been divided into several pairs of classes in sample direction and equidistant subintervals in variable direction. …”
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  19. 719

    Maxillomandibular Advancement in Obstructive Sleep Apnea Syndrome Patients: a Restrospective Study on the Sagittal Cephalometric Variables by Paolo Ronchi, Valentina Cinquini, Alessandro Ambrosoli, Alberto Caprioglio

    Published 2013-06-01
    “…Lateral cephalometric radiographs at T1 and T2 measuring sagittal cephalometric variables (SNA, SNB, and ANB) were analyzed, as were the amount of maxillary and mandibular advancement (Co-A and Co-Pog), the distance from the mandibular plane to the most anterior point of the hyoid bone (Mp-H), and the posterior airway space (PAS).Results: Postoperatively, the overall mean AHI dropped from 58.7 ± 16 to 8.1 ± 7.8 events per hour (P < 0.001). …”
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