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Signals from the two quadrature channels as the sensor spectrum experienced strain-induced shifts

In-phase and quadrature components

Evolution of the in-phase and quadrature components for a carrier frequency of 110 MHz when the laser wavelength was scanned using triangle waves and the phases of the mixing signals were randomly changed

Supplementary document for Wavelength drift suppression of semiconductor laser with filtered optical feedback from fiber-optic loop - 6076195.pdf

Derivation of Eq. (1

Class I Phospho-inositide-3-kinases (PI3Ks) Isoform-Specific Inhibition Study by the Combination of Docking and Molecular Dynamics Simulation

The combination of docking and molecular dynamics simulation is used to explain the isoform-specific selectivity between PI3Kα and PI3Kγ, which are two lipid kinases in the class I PI3Ks. The protein flexibility is incorporated in docking the ligands to the ensemble of representative structures extracted from a clustering analysis of the molecular dynamics simulation in explicit aqueous solution. The reported most potent PI3Kα inhibitor PIK-75 was studied, and we predicted three possible PIK-75-bound conformations for PI3Kα and two for PI3Kγ. Comparative analysis between the PI3Kα and PI3Kγ docking experiments indicates that the residue Trp780 and Asn782 in PI3Kα and the corresponding residues Trp812 and Glu814 in PI3Kγ in the solvent-accessible region can confer the PI3Kα and PI3Kγ isoform specificity. The predicted bound conformations are further studied in aqueous solution by molecular dynamics simulation. The work provides a possible effective pharmacophore model for PI3Kα inhibitor. The dynamic behaviors of the LY294002-bound PI3Ks are studied too

Optimization of surfactant-polymer formulations for improving oil production

This study investigated the optimal concentration of an anionic surfactant (APA-H1) and a sulfonated polyacrylamide (SPAM-A5) formulation for SP flooding at high temperature high salinity conditions. IFT, viscosity and oil production rate in micromodel tests of the formulation were evaluated from 200 to 2000 ppm in high salinity water at 90 °C. Results showed by injecting 1000 ppm APA-H1 and 1,500 ppm SPAM-A5 with ∼10−4 mN/m IFT and 5.4 cP viscosity, the highest incremental oil production was 27%, which were not improved by increasing chemical concentrations. The work reveals there exists an optimal range of surfactant polymer concentrations in SP flooding.</p

Supplementary document for Analysis of single-mode fiber-optic extrinsic Fabry-Perot interferometric sensors with planar metal mirrors - 5328789.pdf

Field coupling coefficient of two single mode fiber

Image_3_A novel nomogram to predict the overall survival of early-stage hepatocellular carcinoma patients following ablation therapy.jpeg

IntroductionThis study aimed to assess factors affecting the prognosis of early-stage hepatocellular carcinoma (HCC) patients undergoing ablation therapy and create a nomogram for predicting their 3-, 5-, and 8-year overall survival (OS).MethodsThe research included 881 early-stage HCC patients treated at Beijing You’an Hospital, affiliated with Capital Medical University, from 2014 to 2022. A nomogram was developed using independent prognostic factors identified by Lasso and multivariate Cox regression analyses. Its predictive performance was evaluated with concordance index (C-index), receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA).ResultsThe study identified age, tumor number, tumor size, gamma-glutamyl transpeptidase (GGT), international normalized ratio (INR), and prealbumin (Palb) as independent prognostic risk factors. The nomogram achieved C-indices of 0.683 (primary cohort) and 0.652 (validation cohort), with Area Under the Curve (AUC) values of 0.776, 0.779, and 0.822 (3-year, 5-year, and 8-year OS, primary cohort) and 0.658, 0.724, and 0.792 (validation cohort), indicating that the nomogram possessed strong discriminative ability. Calibration and DCA curves further confirmed the nomogram’s predictive accuracy and clinical utility. The nomogram can effectively stratify patients into low-, intermediate-, and high-risk groups, particularly identifying high-risk patients.ConclusionsThe established nomogram in our study can provide precise prognostic information for HCC patients following ablation treatment and enable physicians to accurately identify high-risk individuals and facilitate timely intervention.</p

Micromachining & FBG fabrication using point by point technique utilizing femto-second laser

Fiber bragg gratings (FBG) has wide variety of applications in sensor and laser devices. In this work, we have fabricated FBG using point by point (PbP) technique utilizing fs laser. FBGs spectral characteristics were explored through the variation of grating length, fiber holder position, laser power and coated layer. Fs FBG is fabricated on small mode field diameter fiber which shows enhancement of transmission depth to 2.5 dB. The center wavelength shift is observed from 1520 nm to 1568 nm with the change in translational stage speed. The fs FBGs can be utilized in high pressure sensing, high temperature sensing and hazardous environment monitoring purposes

Image_6_A novel nomogram to predict the overall survival of early-stage hepatocellular carcinoma patients following ablation therapy.jpeg

IntroductionThis study aimed to assess factors affecting the prognosis of early-stage hepatocellular carcinoma (HCC) patients undergoing ablation therapy and create a nomogram for predicting their 3-, 5-, and 8-year overall survival (OS).MethodsThe research included 881 early-stage HCC patients treated at Beijing You’an Hospital, affiliated with Capital Medical University, from 2014 to 2022. A nomogram was developed using independent prognostic factors identified by Lasso and multivariate Cox regression analyses. Its predictive performance was evaluated with concordance index (C-index), receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA).ResultsThe study identified age, tumor number, tumor size, gamma-glutamyl transpeptidase (GGT), international normalized ratio (INR), and prealbumin (Palb) as independent prognostic risk factors. The nomogram achieved C-indices of 0.683 (primary cohort) and 0.652 (validation cohort), with Area Under the Curve (AUC) values of 0.776, 0.779, and 0.822 (3-year, 5-year, and 8-year OS, primary cohort) and 0.658, 0.724, and 0.792 (validation cohort), indicating that the nomogram possessed strong discriminative ability. Calibration and DCA curves further confirmed the nomogram’s predictive accuracy and clinical utility. The nomogram can effectively stratify patients into low-, intermediate-, and high-risk groups, particularly identifying high-risk patients.ConclusionsThe established nomogram in our study can provide precise prognostic information for HCC patients following ablation treatment and enable physicians to accurately identify high-risk individuals and facilitate timely intervention.</p

Image_7_A novel nomogram to predict the overall survival of early-stage hepatocellular carcinoma patients following ablation therapy.jpeg

IntroductionThis study aimed to assess factors affecting the prognosis of early-stage hepatocellular carcinoma (HCC) patients undergoing ablation therapy and create a nomogram for predicting their 3-, 5-, and 8-year overall survival (OS).MethodsThe research included 881 early-stage HCC patients treated at Beijing You’an Hospital, affiliated with Capital Medical University, from 2014 to 2022. A nomogram was developed using independent prognostic factors identified by Lasso and multivariate Cox regression analyses. Its predictive performance was evaluated with concordance index (C-index), receiver operating characteristic curve (ROC), calibration curve, and decision curve analysis (DCA).ResultsThe study identified age, tumor number, tumor size, gamma-glutamyl transpeptidase (GGT), international normalized ratio (INR), and prealbumin (Palb) as independent prognostic risk factors. The nomogram achieved C-indices of 0.683 (primary cohort) and 0.652 (validation cohort), with Area Under the Curve (AUC) values of 0.776, 0.779, and 0.822 (3-year, 5-year, and 8-year OS, primary cohort) and 0.658, 0.724, and 0.792 (validation cohort), indicating that the nomogram possessed strong discriminative ability. Calibration and DCA curves further confirmed the nomogram’s predictive accuracy and clinical utility. The nomogram can effectively stratify patients into low-, intermediate-, and high-risk groups, particularly identifying high-risk patients.ConclusionsThe established nomogram in our study can provide precise prognostic information for HCC patients following ablation treatment and enable physicians to accurately identify high-risk individuals and facilitate timely intervention.</p