Layer Thickness Research Articles

GaOx interlayer-originated hole traps in SiO2/p-GaN MOS structures and their suppression by low-temperature gate dielectric deposition

In this study, we investigated the impact of SiO2 deposition temperature during plasma-enhanced chemical vapor deposition on the generation of fast hole traps, which cause surface potential pinning, in p-type GaN MOS structures. The thickness of a gallium oxide (GaOx) layer at the SiO2/GaN interface was estimated and correlated with the hole trap generation. The 200 °C-deposited SiO2/GaN MOS structures exhibited a smaller amount of fast hole traps and a thinner GaOx interlayer than the 400 °C-deposited samples. In the 200 °C-deposited samples, annealing at a temperature below 600 °C did not lead to an increase in the fast hole trap and GaOx layer thickness, while the amount of fast traps significantly increased just after 800 °C-annealing in O2 ambient, accompanied by the growth of the GaOx interlayer. These findings suggest that the major origin of fast hole traps in SiO2/GaN MOS structures is a thermally induced defect existing inside a GaOx interlayer and that the low-temperature SiO2 deposition is effective in reducing the fast traps.

Tailoring dynamics of thermally activated delayed fluorescence molecules embedded in cavity by forming coupling-induced hybrid states

Light–matter coupling-induced hybrid states provide the potential to tune the emission dynamics of molecular chromophores having multilevel systems. We demonstrate the alteration of delayed fluorescence dynamics by hybrid states formation through the interaction of light with a thermally activated delayed fluorescence molecule embedded in a conventional Fabry–Pérot cavity. The proximity of cavity resonance with the excited state absorption is modified by manipulating the incident angles (with sample) instead of varying the active layer thickness. The coupling-induced hybrid states are observed by angle-dependent emission spectroscopy and lifetime measurements. The variation in average emission lifetime with respect to incident angle is over 10 μs and is accompanied by significant changes in the full width at half maxima (factor of three). The control of emission via a barrier-free route or reverse intersystem crossing transition is demonstrated from these measurements. These findings suggest the possibility of tailoring intermediate states for lasing, where exciton density inversion can enhance spontaneous emission.

Simulation Research on Low-Frequency Magnetic Noise in Fe-Based Nanocrystalline Magnetic Shields

Depending on high permeability, high Curie temperature, and low eddy current loss noise, nanocrystalline alloys, as the innermost layer, exhibit great potential in the construction of cylindrical magnetic shielding systems with a high shielding coefficient and low magnetic noise. This study compares a magnetic noise of 1 Hz, simulated by the finite element method (FEM), of a cylindrical nanocrystalline magnetic shield with different structural parameters based on the measured initial permeability of commercial Fe-based nanocrystalline (1K107). The simulated results demonstrate that the magnetic noise is irrelevant to the pump and probe hole diameter. The magnetic noise of a nanocrystalline cylinder with a fixed length gradually increases with the rise in aspect ratio. The radial and axial magnetic noise of a nanocrystalline cylinder with a fixed diameter can reach optimal values when the aspect ratio is 1.3 and 1.4, respectively. The layer thickness of a nanocrystalline cylinder is negatively correlated to magnetic noise. Additionally, by comparing the 1 Hz magnetic noise of a cylindrical nanocrystalline magnetic shield with varying initial permeability, it can be concluded that an increase in loss factor results in an increase in magnetic noise. These results are useful for the design of a high-performance passive magnetic shield with low magnetic noise.

Investigating intrauterine exposure to methamphetamine on serine-threonine kinase pathway in male rat testis.

Today, methamphetamine (METH) is being used by adolescents and young adults. Our previous research demonstrated that intrauterine exposure to METH induces apoptosis in testicles and seminiferous tubes. However, based on available literature, the mechanism of this effect remains unidentified. This study aimed to investigate proteins involved in sperm growth and development pathways, such as testis-specific serine/threonine kinases (TSSK) and receptor-interacting protein kinases 2 (RIPK2), and to study the serine-threonine kinase pathway in the testes of rats whose mothers received intraperitoneal METH during pregnancy. In the present study, female rats during pregnancy received either 5 or 10 mg/kg of METH or normal saline for ten days. After reaching maturity, their testes were isolated and examined for histopathological and immunohistochemical mechanisms. Results were analyzed and reported using statistical software. Results revealed that following intrauterine exposure to METH, TSSK protein expression reduced from 52.68±2.4% in the control group to 48.04±2.29% in the 2 mg/kg/day group and 12.83±3.35% in the 5 mg/kg/day group with P=0.0029 and F=72.63. In addition, RIPK2 protein expression increased from 8.34±2.69% in the control group to 31.17±3.69% in the 2 mg/kg/day group and 98.49±4.66% in the 5 mg/kg/day group, with p=0.0037 and F=61.14. Histopathological findings indicated a reduction in the thickness of germ layers following intrauterine exposure to METH, with the seminiferous tubule's thickness decreasing. Inflammatory cell populations increased, and the number of vessels decreased due to intrauterine exposure to METH. Our study suggests intrauterine exposure to METH increases the prevalence of inflammatory cell populations, enhances RIPK2 protein expression, reduces the number of vessels, reduces the diameter of seminiferous tubes, decreases TSSK protein expression, and reduces the thickness of germ layers in testicular tissue. Apoptosis of spermatid cells observed in our previous study may be related to the signaling pathways of TSSK and RIPK2 proteins.

Effect of FFF parameters on PLA/WD composite properties: Comparative analysis using Taguchi and GRA approach

This article explores the optimization of 3D printing parameters of PLA/wood dust (PLA/WD) composite material for enhanced physical properties, including density, surface roughness, water absorption, and Shore D hardness. The study employs a Taguchi-based L27 orthogonal array design for experimentation, with mathematical models created using grey relational analysis (GRA) to predict the material’s performance by obtaining a grey relational grade (GRG). The obtained GRG was further optimized using ANOVA. The FFF input parameters analyzed include nozzle temperature (190–200°C), layer height (0.12–0.28 mm), print speed (30–50 mm/min), infill density (80–100%), and raster angle (0–90°). The results indicate that a printing temperature of 195°C, a layer thickness of 0.12 mm, a print speed of 30 mm/sec, 100% infill density, and a raster angle of 45° yield the highest GRG, signifying the best overall performance. Furthermore, the data obtained from Analysis of Variance (ANOVA) indicated that, raster angle has the most substantial influence on physical characteristics, followed by infill %, print speed, print temperature, and layer thickness. The investigation of the sample using Scanning Electron Microscopy (SEM) revealed aspects of the sample morphology, including layer bonding irregularities and empty spaces, which impact the density and hardness of the material.

Optimizing UHPC Layers to Improve Punching Shear Performance in Concrete Slabs

Flat slabs supported by columns without beams are widely used in construction owing to their economy and efficiency. However, brittle punching shear failure at slab–column connections can cause progressive collapse. UHPC has a higher tensile strength than NSC and, when appropriately reinforced with steel fibers, exhibits strain hardening after initial cracking. These properties make Ultra-High-Performance Concrete (UHPC) ideal for durable, thin, low-cost bridge decking and heavily loaded elements and an excellent choice for improving slab–column connections that have experienced punched shear failure. This study explores the impact of UHPC layers on the punching shear behavior of reinforced concrete slabs. Sixteen slab specimens were tested with variations in UHPC layer thickness, placement, and column shape. Results demonstrate that incorporating UHPC layers significantly enhances punching shear resistance, increasing ultimate load capacity by 27–91% compared to reference specimens. Notably, thicker UHPC layers (75 mm) and bottom-placed layers exhibited superior performance in terms of ductility and toughness. Square columns outperformed circular ones in resisting punching shear. Additionally, thicker layers reduced initial stiffness, while debonding issues in 25 mm layers adversely affected structural performance. This research provides valuable insights for optimizing UHPC configurations to improve the punching shear resistance of concrete slabs, offering promising solutions for high-load structures in modern construction.

Multi-Person Localization Based on a Thermopile Array Sensor with Machine Learning and a Generative Data Model

Thermopile sensor arrays provide a sufficient counterbalance between person detection and localization while preserving privacy through low resolution. The latter is especially important in the context of smart building automation applications. Current research has shown that there are two machine learning-based algorithms that are particularly prominent for general object detection: You Only Look Once (YOLOv5) and Detection Transformer (DETR). Over the course of this paper, both algorithms are adapted to localize people in 32 × 32-pixel thermal array images. The drawbacks in precision due to the sparse amount of labeled data were counteracted with a novel generative image generator (IIG). This generator creates synthetic thermal frames from the sparse amount of available labeled data. Multiple robustness tests were performed during the evaluation process to determine the overall usability of the aforementioned algorithms as well as the advantage of the image generator. Both algorithms provide a high mean average precision (mAP) exceeding 98%. They also prove to be robust against disturbances of warm air streams, sun radiation, the replacement of the sensor with an equal type sensor, new persons, cold objects, movements along the image frame border and people standing still. However, the precision decreases for persons wearing thick layers of clothes, such as winter clothing, or in scenarios where the number of present persons exceeds the number of persons the algorithm was trained on. In summary, both algorithms are suitable for detection and localization purposes, although YOLOv5m has the advantage in real-time image processing capabilities, accompanied by a smaller model size and slightly higher precision.

Optimization of Coating Process Parameters by Analysis of Target Powder Thickness and Regression Modeling

The development of corrosion mechanisms is a major issue that industrial experts are faced with while dealing with all phases of metal exploitation. Damage caused by corrosion affects the increase in both direct and indirect costs of manufacture. With adequate surface protection technology, it is possible to lessen the intensity of corrosion mechanisms’ development. In order for the selected surface protection technology to provide its full protective action, it is necessary to be familiar with its process parameters. This paper deals with a surface protection system that creates a barrier between the aggressive environment and the base material. The tested barrier was created on a base material surface by electrostatic powder spraying. In this experiment, three types of base material (carbon steel, aluminum and galvanized steel) were coated by applying different combinations of operating parameters. Operating parameters, i.e., the voltage and strength of the electric current, were taken as numerical input variables in the experiment. Each experiment design was focused on measuring the thickness of the protective layer. Analysis of the obtained results and statistical data processing confirmed that appropriate parameters (input variables) provided the target thickness of the protective coating on each of the tested materials. Optimization of parameters contributes to the efficiency of production, shortens the processing time and ensures that coating thickness stays within the limits defined either by the manufacturer or the end user.

Dispersion characteristics of Lamb wave in a multilayered magnetoelectroelastic plate with an imperfect interface

In this study, we investigate Lamb wave propagation in a multilayered magnetoelectroelastic plate with an imperfect magnetoelectroelastic interface using the generalized linear spring model (GLSM). The dispersion relation of the Lamb wave is obtained using an improved Legendre polynomial expansion method, which converts the wave problem into a linear eigenvalue system. The effectiveness of the present method was verified through comparison with two existing cases: SH wave in a bilayer plate with an imperfect interface and Lamb wave in a bilayer plate with a perfect interface. Numerical examples were presented for various multilayered plates composed of BaTiO3/CoFe2O4. The effects of the spring constant combinations, including the degree of mechanical, electric, and magnetic interface imperfections, layer thickness ratio, electromagnetic boundary condition, and stacking sequence on the dispersion characteristics are illustrated. The effect of the thickness ratio on the magneto-electromechanical coupling factor and the sensitivity of the phase velocity at different frequencies to changes in the interface characteristics are also discussed. The present investigation is of practical interest for developing new layered composite structures made of smart piezoelectric and piezomagnetic materials for engineering applications.

Theoretical Research on the Axial Compression Capacity of Reinforced Concrete Mid-Long Columns Reinforced with Ultra-High-Performance Concrete

Ultra-high-performance concrete (UHPC) is a cement-based composite material characterised by exceptional strength, low porosity and high durability, making it highly promising for reinforcement engineering. Based on the theory of tangential modulus, a calculation method has been developed for the axial compression capacity of reinforced concrete (RC) medium and long columns strengthened with UHPC, using the constitutive relation of materials and internal and external force balance conditions. This study analysed the influence of UHPC reinforcement layer thickness, reinforced layer, reinforcement ratio, column slenderness ratio and initial load level of core columns on the bearing capacity of reinforced columns. The results indicated that the bearing capacity of the mid-long columns increases with the thickness of the UHPC reinforcement layer and its reinforcement ratio. In addition, the bearing capacity decreases with the increase in the column slenderness ratio and initial load level of the core column.

Association and multimodal model of retinal and blood-based biomarkers for detection of preclinical Alzheimer’s disease

BackgroundThe potential diagnostic value of plasma amyloidogenic beta residue 42/40 ratio (Aβ42/Aβ40 ratio), neurofilament light (NfL), tau phosphorylated at threonine-181 (p-tau181), and threonine-217 (p-tau217) has been extensively discussed in the literature. We have also previously described the association between retinal biomarkers and preclinical Alzheimer’s disease (AD). The goal of this study was to evaluate the association, and a multimodal model of, retinal and plasma biomarkers for detection of preclinical AD.MethodsWe included 82 cognitively unimpaired (CU) participants (141 eyes; mean age: 67 years; range: 56–80) from the Atlas of Retinal Imaging in Alzheimer’s Study (ARIAS). Blood samples were assessed for concentrations of Aβ42/Aβ40 ratio, NfL, p-tau181, and p-tau217 (ALZpath, Inc.) using Single molecule array (SIMOA) technology. The Spectralis II system (Heidelberg Engineering) was used to acquire macular centered Spectral Domain Optical Coherence Tomography (SD-OCT) images for evaluation of putative retinal gliosis surface area and macular retinal nerve fiber layer (mRNFL) thickness. For all participants, correlations (adjusted for age and correlation between eyes) were assessed between retinal and blood-based biomarkers. A subgroup cohort of 57 eyes from 32 participants with recent Aβ positron emission tomography (PET) results, comprising 18 preclinical patients (Aβ PET + ve, 32 eyes) and 14 controls (Aβ PET -ve, 25 eyes) with a mean age of 69 vs. 66, p = 0.06, was included for the assessment of a multimodal model to distinguish between the two groups. For this subgroup cohort, receiver operating characteristic (ROC) analysis was performed to compare the multimodal model of retinal and plasma biomarkers vs. each biomarker alone to distinguish between the two groups.ResultsSignificant correlation was found between putative retinal gliosis and p-tau217 in the univariate mixed model (β = 0.48, p = 0.007) but not for the other plasma biomarkers (p > 0.05). This positive correlation was also retained in the multivariate mixed model (β = 0.43, p = 0.022). The multimodal ROC model based on retinal (gliosis area, inner inferior RNFL thickness, inner superior RNFL thickness, and inner nasal RNFL thickness) and plasma biomarkers (p-tau217 and Aβ42/Aβ40 ratio) had an excellent AUC of 0.97 (95% CI = 0.93–1.01; p < 0.001) compared to unimodal models of retinal and plasma biomarkers.ConclusionsOur analyses show the potential of integrating retinal and blood-based biomarkers for improved detection and screening of preclinical AD.

Mixing behaviour in the iron bath of a smelting reduction furnace

ABSTRACT To address the existing issues in the current smelting reduction process and improve the efficiency of coal resource utilization, this study proposes an integrated technology for smelting reduction ironmaking and coal gasification. The smelting reduction vessel in this technology is characterized by a thick slag layer and a double-layer side lances that act on the molten slag. The mixing behavior of slag in the smelting reduction vessel was investigated with the physical simulation method. The effect of lance design parameters, as well as the thickness and viscosity of slag, on the mixing time was examined using both the orthogonal method and the control variable method. The optimal combination of lance design parameters was determined to be A (50°)-B (135 mm)-C (98 mm)-D (55°)-E (135 mm). Based on these optimal lance design parameters, it was found that the mixing time increases with both the increase of slag thickness and viscosity.

Blink completeness and rate in dry eye disease: An investigator-masked, prospective registry-based, cross-sectional, prognostic study.

To investigate the prognostic ability of blink rate and the proportion of incomplete blinking to predict dry eye disease diagnosis, as defined by the TFOS DEWS II criteria. A total of 453 community residents (282 females, 171 males; mean±SD age, 37±19years) were recruited in an investigator-masked, prospective registry-based, cross-sectional, prognostic study. Dry eye symptomology, tear film quality, and ocular surface characteristics were assessed in a single clinical session, and blink parameters evaluated by an independent masked observer. Overall, 214 (47%) participants fulfilled the TFOS DEWS II criteria for dry eye disease. Multivariate regression analysis demonstrated that an increased proportion of incomplete blinking was associated with a higher odds of dry eye disease (odds ratio, 1.12 per 10% increase; 95% CI, 1.05-1.19; p<0.001), with the Youden-optimal prognostic threshold proportion being≥40% incomplete blinking. Higher levels of incomplete blinking were also associated with poorer dry eye symptomology, tear film stability, corneal and lid margin staining, lipid layer thickness, meibography, and meibum quality (all p≤0.03). No significant associations were detected between blink rate and ocular surface parameters (all p>0.10). The degree of incomplete blinking is a significant predictor of dry eye disease, and the utility of incorporating blink assessment into diagnostic workup algorithms warrants further investigation. The association with meibomian gland dropout, expressed meibum quality, and lipid layer thickness would suggest that incomplete blinking may predispose towards the development of meibomian gland dysfunction.

Effects of Forest Land Mulching on the Soil CO2 Emission Rate of Phyllostachys violascens Forests

This study investigates the dynamics of soil CO2 emissions during the cover period of Phyllostachys violascens and the impact of different cover measures, aiming to provide references for reducing the environmental effects of bamboo cover. An L27 (913) orthogonal experimental design was employed, setting the following variables: (1) heating materials: chicken manure, straw cake, and wheat ash; (2) thickness of husk layer: 15 cm, 25 cm, and 35 cm; (3) soil moisture levels before covering: moisture to 10 cm, 15 cm, and 20 cm. The soil CO2 emission rate showed a unimodal curve, with a significant overall increase during the cover period. Throughout the entire cover period, the average soil CO2 emission rate (25.39 μmol·m−2·s−1) was 5.1 times higher than that of the uncovered Lei bamboo forest (5.02 μmol·m−2·s−1) during the same period. Thicker husk layers (25 cm and 35 cm) corresponded to higher soil CO2 emission rates, with significant differences noted among the thicknesses. When the soil was moist to 10 cm, the CO2 emission rate was highest (62.51 μmol·m−2·s−1); moisture to 15 cm and 20 cm resulted in significantly lower emission rates. Chicken manure produced the highest peak CO2 emissions in the third week, at 70.64 μmol·m−2·s−1, while straw cake and wheat ash reached their peaks in the fifth week, at 66.56 μmol·m−2·s−1 and 57.58 μmol·m−2·s−1, respectively. The interactions between the three factors (heating materials, husk layer thickness, and moisture levels) significantly affected the soil CO2 emission rates. By optimally configuring these factors, CO2 emissions can be regulated. This study recommends using wheat ash or straw cake as heating materials, combined with a 25 cm husk layer thickness, and moistening the soil to 15 cm before covering. This approach effectively reduces the peak and total soil CO2 emissions while ensuring suitable soil temperatures for the growth of bamboo shoots in spring. This research provides a scientific basis for the environmental management of bamboo forests, aiding in the optimization of covering measures to achieve low-carbon and sustainable bamboo management.

Coating MOF Layer on Fe3O4 Nanoparticles Towards Enhancing Photocatalysis Activation of Peroxydisulfate via Layer Thickness Control

ABSTRACTAs the photocatalytic layer, metal organic frameworks (MOFs) with thickness control were coated on the surface of Fe3O4 nanoparticles to investigate the influence of photocatalysis on the activation of peroxydisulfate to degrade antibiotic pollutants. A suitable thickness of MOF layer can not only enhance the adsorption of the substrate molecules on the composite catalyst but also provide optimized electron transfer distance and path, which is conducive to improving the efficiency of electron–hole separation, thereby enhancing the activation of peroxydisulfate and the degradation efficiency of pollutants.

Optimizing electrical and mechanical properties via intermetallics distribution in Cu–Al spot welding

Abstract This study investigates the role of barrier layers in minimizing intermetallic formation during copper-aluminum spot welding to improve mechanical properties and electrical conductivity. Results show that introducing barrier layers, such as nickel and zinc, reduces hardness as expected but leads to complex effects on tensile strength and electrical conductivity. Two key mechanisms are identified: diffusion blocking, which limits intermetallics formation, and energy absorption modulation during welding, which influences strength based on barrier layer thickness. Nickel barriers significantly increase tensile strength, peaking at 15 μm, while zinc barriers reach maximum effectiveness at 20 μm. Beyond optimal thickness, incomplete welding penetration causes a decline in strength.&amp;#xD;&amp;#xD;Al2Cu is identified as the primary intermetallic compound formed during direct copper-aluminum welding. With nickel barriers, Al2Cu is dispersed, suggesting better diffusion control. Zinc barriers, on the other hand, lead to the formation of Al4Cu9 and Al2Cu, both dispersed similarly within the weld nucleus. Higher welding currents (1200 A) yield stronger welds than lower currents (1100 A), highlighting the importance of welding parameters in optimizing mechanical performance. Electrical resistivity is influenced by intermetallic layers and defects like cracks or voids at the interface, impacting overall electrical performance. This study provides insights into how barrier layers and welding conditions can be optimized to enhance the mechanical and electrical performance of copper-aluminum spot welds.&amp;#xD;

Increasing the sensitivity of Love wave MSAW sensors by magnetoelastic layer thickness variation

Increasing the sensitivity of Love wave MSAW sensors by magnetoelastic layer thickness variation

AlGaN/AlN/GaN MOS-HEMTs with biomolecule cavities: a promising approach for SARS-CoV-2 biosensors

Abstract In this work, AlGaN/AlN/GaN MOS-HEMTs were investigated with a biomolecule cavity between two oxide layer under the gate region to determine their sensitivity and viability as biosensors. The area between the two oxide layers located below the gate electrode was used to detect the SARS-CoV-2 virus through DNA proteins. Threshold voltage and drain current analysis were carried out by modulating the dielectric of DNA filled in the cavity region to simulate the presence of the virus. The sensitivity of the device was analyzed using the ATLAS SILVACO simulation tool, focusing on various configurations. This included the impact of AlGaN composition (both thickness and Al mole fraction) and cavity configuration (length and thickness of the cavity). The simulation results revealed that device with barrier layer thickness of 15nm and Al mole fraction of 0.2 demonstrates maximum threshold voltage sensitivity SVth (%) of 86% and drain current sensitivity SIds(%)of 75%. Thedevice with cavity length 500 nm and cavity thickness 15 nm shows maximum sensitivity.This research suggests that the proposed structure has potential application in the detection of SARS-COV-2 virus.&amp;#xD;

Ionomic and metabolomic analyses reveal association between nutritional value and aleurone layer thickness in rice.

The fortification of aleurone cells represents a promising avenue for enhancing the nutritional quality of cereal. This study investigated dorsal aleurone thickness (DAT) in a rice diversity panel comprising 180 varieties, revealing that DAT of the Geng subspecies is typically greater than that of the Xian subspecies. The minerals and primary metabolites accumulated in the brown grains of ten rice varieties exhibiting distinct DAT were subjected to analysis using spectrometry-based technologies. A positive correlation was identified between essential mineral zinc and DAT, whereas toxic mineral cadmium exhibited a negative correlation. Moreover, our findings revealed that the Xian varieties with high DAT exhibited greater lipid accumulation in the brown seeds than those with thin DAT, while the Geng varieties with high DAT predominantly influenced amino acid accumulation. The findings suggest that the natural variations in aleurone thickness may be exploited for the development of rice varieties that are enriched in nutrients.

Suprachoroidal injection of triamcinolone acetonide as adjuvant to surgical treatment of epiretinal membrane

BackgroundTo analyse the effect of suprachoroidal injection (SChI) of triamcinolone acetonide (TA) on macular thickness (CRT), ectopic inner foveal layer thickness (EIFL-T) and best corrected visual acuity (BCVA) in pseudophakic patients undergoing vitrectomy for epiretinal membrane (iERM) compared to intravitreal injection of TA (IVTA).MethodsProspective matched comparison of patients undergoing vitrectomy for Govetto stage 3 and 4 iERM. 25 eyes receiving IVTA (G-1) were compared to 23 eyes receiving SChI-TA (G-2) during vitrectomy. Primary outcome was change in BCVA, CRT, EIFL-T before surgery and 1, 3 and 6 months after surgery. Secondary outcome was the incidence of cystoid macular edema (CME).ResultsSix months after surgery, G2 had a greater mean reduction in CRT (−222 µm vs −131 µm) and EIFL-T (−200 µm vs −104 µm) than G1. BCVA improved more in G2 than in G1 (p = 0.02). Foveal depression reformed in 43% of cases in G-2 and 16% of cases in G-1. Incidence of postoperative CME was 16% in G-1 and 4.3% in G-2.ConclusionsDuring vitrectomy for iERM, SChI-TA was more effective than IVTA in reducing CRT and EIFL-T and improving BCVA. SChI-TA was effective in preventing postoperative CME. SChI-TA treatment was safe and reproducible and did not affect postoperative IOP.Trial registration NP6289—June 18th, 2024 (retrospectively registered).