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Purpose: To evaluate the predictability of postoperative refraction for a capsulotomy-fixated intraocular lens (IOL) after femtosecond laser-assisted cataract surgery (FLACS).
Methods: Patients with age-related cataracts and no other eye disease who were implanted with the FEMTIS FB-313 IOL (Teleon Surgical BV) during FLACS were included. Using an IOLMaster 700 (Carl Zeiss Meditec), subjective refractive and biometric data were collected preoperatively and at a minimum of 3 months postoperatively. The prediction error (PE), defined as the actual minus predicted refraction, as well as IOL constant optimization and formula performance, were assessed, and the effect of preoperative biometry on the PE was investigated.
Results: A total of 70 eyes from 48 patients were included. Hyperopic shifts resulted from applying the Haigis, Holladay 1, SRK/T, and Barrett Universal II formulas, whereas the Hoffer-QST, Pearl-DGS, Cooke K6, EVO, and Kane formulas yielded myopic shifts. The Barrett Universal II formula predicted refraction most accurately, with 48% of eyes within the limits of ±0.25 D. After constant optimization, the formulas displayed significantly lower PEs. Preoperative anterior chamber depth and lens thickness were significantly correlated with the PE. The corresponding positive parameter estimates before and after lens constant optimization were identical.
Conclusions: Implantation of the capsulotomy-fixated FEMTIS IOL during FLACS is associated with increased systematic refractive PE, which is directly influenced by preoperative anterior chamber depth and lens thickness. IOL constant optimization enhances prediction accuracy. Relevant inaccuracies also persist in modern formulas, indicating that advancements beyond constant optimization might be crucial to enhance the predictability and accuracy of these calculations in clinical practice. .
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http://dx.doi.org/10.3928/1081597X-20250417-03 | DOI Listing |
Neural Netw
September 2025
School of Mathematics and Information Science, Guangxi University, Nanning, 530004, China. Electronic address:
This study presents a novel variable gain intermittent boundary control (VGIBC) approach for stabilizing delayed stochastic reaction-diffusion Cohen-Grossberg neural networks (SRDCGNN). In contrast to traditional constant gain intermittent boundary control (CGIBC) methods, the proposed VGIBC framework dynamically adjusts the control gain based on the operational duration within each control cycle, thereby improving adaptability to variations in work interval lengths. The time-varying control gain is designed using a piecewise interpolation method across work intervals, defined by a finite set of static gain matrices.
View Article and Find Full Text PDFJ Org Chem
September 2025
Organic and Medicinal Chemistry Division, CSIR-Indian Institute of Chemical Biology, 4, Raja S. C. Mullick Road, Jadavpur, Kolkata 700 032, India.
The denitrogenation of tetrazoles is typically performed using transition-metal catalysts at high temperatures due to the inherent stability of the tetrazole group. In this work, we present, for the first time, an electrochemical method for denitrogenating tetrazoles at room temperature. This method employs a sacrificial zinc anode and a platinum cathode in a solvent mixture of acetonitrile and water under a constant current in an undivided cell.
View Article and Find Full Text PDFJ Chem Phys
September 2025
Department of Chemistry, University of Rochester, Rochester, New York 14627, USA.
We introduce an efficient method, TTN-HEOM, for exactly calculating the open quantum dynamics for driven quantum systems interacting with highly structured bosonic baths by combining the tree tensor network (TTN) decomposition scheme with the bexcitonic generalization of the numerically exact hierarchical equations of motion (HEOM). The method yields a series of quantum master equations for all core tensors in the TTN that efficiently and accurately capture the open quantum dynamics for non-Markovian environments to all orders in the system-bath interaction. These master equations are constructed based on the time-dependent Dirac-Frenkel variational principle, which isolates the optimal dynamics for the core tensors given the TTN ansatz.
View Article and Find Full Text PDFCureus
August 2025
Department of Radiology, Aichi Medical University, Nagakute, JPN.
Purpose This planning study aimed to clarify the significance of inverse planning with variable dose rate (VDR) and the segment shape optimization (SSO) in the quality and efficiency of dynamic conformal arcs (DCA) using the high-definition dynamic radiosurgery (HDRS) platform for stereotactic radiosurgery (SRS) of single brain metastases (BMs). Materials and methods Twenty clinical BMs were included, with the gross tumor volume (GTV) ranging from 0.33 cc to 48.
View Article and Find Full Text PDFACS Omega
September 2025
School of Chemistry, University of St Andrews, St Andrews, Fife KY16 9ST, United Kingdom.
The present research reports the synthesis of poly-[ethylene oxide]-based composite films (500 μm) containing metal nanoparticles (NPs) [Ag ( ∼ 6 nm), Cu ( ∼ 25 nm), and Fe ( ∼ 35 nm)] as the mobile phase. The novelty of the study is in the corroboration of a plausible mechanism for the generation of metal NPs through green synthesis using herbal extracts of (Tea) and (Neem). Density functional theory (DFT) is used to optimize the phytoreductants present in both biosources, wherein the reducing and/or stabilizing functional entities are primarily hydroxyl groups (-OH).
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