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5,316 results
  • Comparison of Sizing Methods to Optimize Device Selection for Percutaneous Closure of Atrial Septal Defects. [Journal Article]
    Cardiol Res Pract. 2026; 2026:1663610.Vural Ç, Baykan A, … Narin NCR
  • CONCLUSIONS: Combining multiple measurement techniques improves agreement with the operator-selected device size during percutaneous ASD closure. While TTE alone may be sufficient in patients with simple defects and adequate acoustic windows, integrated approaches incorporating TEE and multiaxis measurements showed favorable agreement characteristics, particularly in anatomically heterogeneous defects or resource-limited settings. These findings should be interpreted as reflecting agreement with operator-selected device sizing rather than anatomical sizing accuracy, given the inherent circularity of using implanted device size as a reference standard.
  • Radiation Dose and Toxicological Risk Assessment of Uranium in Drinking Water of Eastern Rajasthan, India. [Journal Article]
    Health Phys. 2026 Sep 30. [Online ahead of print]Kumar S, Kansal S, … Kataria NHP
  • The present study investigates uranium concentrations in 345 drinking water samples collected from the Dausa and Sawai Madhopur districts of Rajasthan, India, and assesses the associated radiological and chemical health risks. The measurement of uranium concentrations was performed using the light-emitting diode fluorimetric method (Model LF-2a). The uranium concentrations vary between 0.52 and 2…
  • Askisi-MD: Development and Validation of a Web-Based Neuropsychological Screener for Mathematical Learning Difficulties Using Explainable Machine Learning. [Journal Article]
    J Integr Neurosci. 2026 Sep 03; 25(9):52375.Zygouris NC, Styliaras SK, … Nasios GJI
  • CONCLUSIONS: Askisi-MD provides a neuropsychologically informed web-based approach to MLD screening by jointly sampling mathematical performance and supporting cognitive control functions. The composite-level internal coherence findings support the use of Askisi-MD as a multidomain screener rather than as a set of independent mathematics subscales. Its explainable machine learning framework further enhances model interpretability by identifying the task-level indicators most strongly contributing to classification outcomes. Askisi-MD thus offers promise as a first-line screening tool to support referral decisions, rather than a stand-alone diagnostic instrument.
  • Key biomechanical features of jump-landing under cognitive dual-task conditions: an XGBoost-SHAP-based explainable machine learning analysis. [Journal Article]
    Front Bioeng Biotechnol. 2026; 14:1930588.Zhu Y, Zhang Y, … Chen SFB
  • CONCLUSIONS: The XGBoost-SHAP model identified and quantified key biomechanical changes during cognitive dual-task jump-landing, providing an explainable, quantitative description of dual-task landing biomechanics. These changes may be related to competition for limited attentional resources between motor control and cognitive tasks. The following five core features collectively characterize the biomechanical pattern distinguishing dual-task from single-task landing: increased BOS, decreased HF-IC, decreased PF-IC, increased TF-ROM, and decreased TF-IC. The model classified task condition only and was developed using data from physically active young men performing a laboratory mental-arithmetic task. Any injury-related interpretation requires prospective validation; generalization to other populations and task contexts requires external validation.
  • Assessment of exhalation rates of the soil and dispersed radon in groundwater in the Bengaluru district. [Journal Article]
    Appl Radiat Isot. 2026 Sep 17; 238:112920. [Online ahead of print]Poojitha CG, Ganesh KE, … Sapra BKAR
  • This study investigates radon and thoron exhalation from soil, along with radon and radium concentrations in groundwater, across 23 sampling locations in Bengaluru, Karnataka, India, using a scintillation-based Smart RnDuo detector. Radon mass exhalation rates ranged between 17 ± 1.3 and 91.1 ± 4.7 mBq/kg/h, with a mean of 37.7 ± 2.1 mBq/kg/h, below the reported global average. In contrast, thoro…
  • Assessment of Surface Geometry of Puckered Area of SeerSucker Woven Fabrics. [Journal Article]
    Materials (Basel). 2026 Aug 27; 19(17).Matusiak MM
  • The crucial feature of seersucker woven fabrics is their surface geometry. In such kinds of woven fabrics, the puckered stripes appear in the warp direction, separated by stripes of smooth fabric. There are practically no methods to assess the seersucker effect and the reproducibility of this effect. In this work, an optical profilometer enabling non-contact assessment of surface geometry was use…