Common Method Research Articles

Wavelength Scale Singlet Achromatic Microlenses Based on High Refractive Index Materials

AbstractThe common methods used for correcting chromatic aberration are typically based on multi‐lens and multi‐material systems, resulting in lens thicknesses that are several orders of magnitude greater than the wavelength and complex combination designs. A method to achieve the singlet achromatic microlens of the wavelength‐scale thickness by utilizing high refractive index materials with an aspherical profile is proposed. A theoretical model based on the dispersion effect is developed to guide the selection of materials and the design of thicknesses for achieving chromatic aberration correction in singlet microlenses of a given diameter and numerical aperture. H‐ZLaF68N (68N) glass, sapphire, and fused silica with relatively high to low refractive index are selected to prepare the singlet achromatic microlenses to verify the validity of the model. The thicknesses of three microlenses are 573, 737 nm, and 1.27 µm, respectively, and all of them have achieved achromatic correction as designed. This indicates that the high refractive index material not only achieves achromatic aberration but also reduces the thickness by ≈50% compared with the conventional low refractive index material of silica glass. The presented wavelength‐scale singlet achromatic microlens hold significant promise for compact wearable devices, dynamic holography, and color projection displays.

Aggregation-Induced Emission Luminogens: A New Possibility for Efficient Visualization of RNA in Plants.

RNAs play important roles in regulating biological growth and development. Advancements in RNA-imaging techniques are expanding our understanding of their function. Several common RNA-labeling methods in plants have pros and cons. Simultaneously, plants' spontaneously fluorescent substances interfere with the effectiveness of RNA bioimaging. New technologies need to be introduced into plant RNA luminescence. Aggregation-induced emission luminogens (AIEgens), due to their luminescent properties, tunable molecular size, high fluorescence intensity, good photostability, and low cell toxicity, have been widely applied in the animal and medical fields. The application of this technology in plants is still at an early stage. The development of AIEgens provides more options for RNA labeling. Click chemistry provides ideas for modifying AIEgens into RNA molecules. The CRISPR/Cas13a-mediated targeting system provides a guarantee of precise RNA modification. The liquid-liquid phase separation in plant cells creates conditions for the enrichment and luminescence of AIEgens. The only thing that needs to be looked for is a specific enzyme that uses AIEgens as a substrate and modifies AIEgens onto target RNA via a click chemical reaction. With the development and progress of artificial intelligence and synthetic biology, it may soon be possible to artificially synthesize or discover such an enzyme.

Current common prodrug delivery methods and biochemical property

Prodrugs are pivotal in overcoming drug delivery and absorption challenges. These bioreversible derivatives are strategically designed to address medicines poor bioavailability and administration constraints. Prodrugs offer versatile solutions for various delivery methods, including oral, dermal, nasal, and central nervous system (CNS) routes and tumor targeting. This literature review aims to summarize several prodrugs delivery methods. The report also focuses on the common concepts of prodrug design. The utilization of prodrugs also includes innovative strategies, such as receptor-mediated internalization and responsive drug release, demonstrating promising outcomes for cancer therapy. The application of prodrug methods is comprehensive. Prodrugs emerged as a universal approach to improve drug administration and absorption, with their applications spanning diverse medical contexts. By tailoring prodrugs to specific delivery routes and addressing unique challenges, researchers open avenues for more effective and targeted therapies. Further exploration and optimization of prodrug strategies hold the potential to revolutionize drug delivery in clinical settings. Although prodrugs have many advantages, there are still many possible future improvements. Many diseases or target organs still need help applying prodrugs even though the current drug design needs this technology for administration. Future research should focus on the lack of chemical stability, including considering the balance between aqueous solubility and lipophilicity. Also, the elimination of the formation of degradation by-products or the design of acceptable metabolism pathways is another aspect that should be considered.

Advances in Aerosol Formulation for Targeted Delivery of Therapeutic Agents from Nose to Brain.

The intricate anatomical and physiological barriers that prohibit pharmaceuticals from entering the brain continue to provide a noteworthy hurdle to the efficient distribution of medications to brain tissues. These barriers prevent the movement of active therapeutic agents into the brain. The present manuscript aims to describe the various aspects of brain-targeted drug delivery through the nasal route. The primary transport mechanism for drug absorption from the nose to the brain is the paracellular/extracellular mechanism, which allows for rapid drug transfer. The transcellular/intracellular pathway involves the transfer across a lipoidal channel, which regulates the entry or exit of anions, organic cations, and peptides. Spectroscopy and PET (positron emission tomography) are two common methods used for assessing drug distribution. MRI (Magnetic resonance imaging) is another imaging method used to assess the efficacy of aerosol drug delivery from nose to brain. It can identify emphysema, drug-induced harm, mucus discharge, oedema, and vascular remodeling. The olfactory epithelium's position in the nasal cavity makes it difficult for drugs to reach the desired target. Bi-directional aerosol systems and tools like the "OptiNose" can help decrease extranasal particle deposition and increase particle deposition efficiency in the primary nasal pathway. Direct medicine administration from N-T-B, however, can reduce the dose administered and make it easier to attain an effective concentration at the site of activity, and it has the potential to be commercialized.

Adaptive Time-Frequency Segment Optimization for Motor Imagery Classification.

Motor imagery (MI)-based brain-computer interface (BCI) has emerged as a crucial method for rehabilitating stroke patients. However, the variability in the time-frequency distribution of MI-electroencephalography (EEG) among individuals limits the generalizability of algorithms that rely on non-customized time-frequency segments. In this study, we propose a novel method for optimizing time-frequency segments of MI-EEG using the sparrow search algorithm (SSA). Additionally, we apply a correlation-based channel selection (CCS) method that considers the correlation coefficient of features between each pair of EEG channels. Subsequently, we utilize a regularized common spatial pattern method to extract effective features. Finally, a support vector machine is employed for signal classification. The results on three BCI datasets confirmed that our algorithm achieved better accuracy (99.11% vs. 94.00% for BCI Competition III Dataset IIIa, 87.70% vs. 81.10% for Chinese Academy of Medical Sciences dataset, and 87.94% vs. 81.97% for BCI Competition IV Dataset 1) compared to algorithms with non-customized time-frequency segments. Our proposed algorithm enables adaptive optimization of EEG time-frequency segments, which is crucial for the development of clinically effective motor rehabilitation.

Frontiers in Photoelectrochemical Catalysis: A Focus on Valuable Product Synthesis.

Photoelectrochemical (PEC) catalysis provides the most promising avenue for producing value-added chemicals and consumables from renewable precursors. Over the last decades, PEC catalysis, including reduction of renewable feedstock, oxidation of organics, and activation and functionalization of C─C and C─H bonds, are extensively investigated, opening new opportunities for employing the technology in upgrading readily available resources. However, several challenges still remain unsolved, hindering the commercialization of the process. This review offers an overview of PEC catalysis targeted at the synthesis of high-value chemicals from sustainable precursors. First, the fundamentals of evaluating PEC reactions in the context of value-added product synthesis at both anode and cathode are recalled. Then, the common photoelectrode fabrication methods that have been employed to produce thin-film photoelectrodes are highlighted. Next, the advancements are systematically reviewed and discussed in the PEC conversion of various feedstocks to produce highly valued chemicals. Finally, the challenges and prospects in the field are presented. This review aims at facilitating further development of PEC technology for upgrading several renewable precursors to value-added products and other pharmaceuticals.

COMPUTER SIMULATION AND OPTIMIZATION OF HEAT TRANSFER PROCESSES
 IN ANSYS SOFTWARE USING THE EXAMPLE OF HEAT EXCHANGER
 INSTALLATION AVT-2 JSC “NAFTAN”

The article provides a description of modern computer-aided design systems for heat exchange equipment, which
 are united by common tasks and mathematical methods; their most important differences will be adaptability to the
 perception of 3D models from other programs, ease of use for the designer and the method of providing reporting data.
 This article discusses a method for designing heat exchange equipment using the Ansys Workbrench program with fluid
 flow modeling using the finite element method.

Effects of common forage conservation methods on the alkaloid content of grassland growths infested by marsh horsetail (Equisetum palustre L.)

The toxic sporophyte marsh horsetail (Equisetum palustre L.) increasingly infests moist and wet grasslands in Europe because of climate change, deeutrophication actions, and rewetting measures. Farmers, veterinarians, and authorities are insecure how to address this newly emerging situation, as only little information on toxin levels is available and information for no effect levels in livestock is based on outdated analytical methods. Hence, an important question is to what extent feed conservation measures could lead to a significant reduction in alkaloid levels. We investigated the capabilities of the two most common forage conservation methods, haying and ensiling, in reducing the initial alkaloid levels of fresh E. palustre contaminated biomass by field and lab-scale experiments simulating favourable and no favourable conservation conditions. Haying reduced the main alkaloid content up to 25% under ideal drying conditions only, probably due to friability losses of horsetail plant parts. However, under non-favourable weather conditions, alkaloid concentrations increased. Ensiling procedures reduced the main alkaloid content by less than 10%. There were no significant effects of ensilage duration or wilting degree on alkaloid content, despite a tendency toward a higher reduction in fresh silages. Common forage conservation methods have limited potential for degradation of the main marsh horsetail alkaloids. Our results give reason to consider other biomass utilization paths, such as composting or biomethanization for contaminated grassland growth instead of classical feed preparation.

Analyzing the reduction quality of the distal radioulnar joint after closed K-wire transfixation in a cadaver model: is supination or neutral position superior?

Distal radioulnar joint (DRUJ) instabilities are challenging and their optimal treatment is controversial. In special cases or when reconstruction of the stabilizing triangular fibrocartilage complex (TFCC) fails, K-wire transfixation can be performed. However, no consensus has been reached regarding the rotational position of the forearm in which this should be done. Therefore, it was investigated whether anatomical reduction would best be achieved by transfixation in neutral position or supination of the forearm. Twelve cadaveric upper limbs were examined before dissection of the DRUJ stabilizing ligaments and after closed transfixation in both positions by C-arm cone-beam CT. Whether this was first done in neutral position or in supination was randomized. The change in the radioulnar ratio (RR) in percentage points (%points) was analyzed using Student's t-test. RR was used since it is a common and sensitive method to evaluate DRUJ reduction, expressing the ulnar head's position in the sigmoid notch as a length ratio. The analysis showed an increased change in RR in neutral position with 5.4 ± 9.7%points compared to fixation in supination with 0.2 ± 16.1%points, yet this was not statistically significant (p = 0.404). Neither position leads to a superior reduction in general. However, the result was slightly closer to the anatomical position in supination. Thus, transfixation of the DRUJ should be performed in the position in which reduction could best be achieved and based on these data, that tends to be in supination. Further studies are necessary to validate these findings and to identify influential factors.

Assessing viability of Escherichia coli in mining-impacted surface waters

Multiple threats to surface water quality, including both fecal pollution and acid mine drainage (AMD) are frequently coincident in mining regions, such as parts of the Appalachian region of the U.S. While it has been established that AMD can have toxic effects to fecal bacteria in surface waters, there is also evidence that AMD may induce a viable but non-culturable (VBNC) state, leaving fecal bacteria undetectable by common standard methods. This study aims to better understand the occurrence of VBNC Escherichia coli in mining-impacted waters (MIW) through three objectives: (1) assess the relationship between MIWs and concentrations of culturable fecal bacteria, (2) compare standard methods for quantification of E. coli in MIW, and (3) investigate whether MIW can induce a VBNC state in E. coli. An analysis of historic data from the Deckers Creek and West Run Watersheds of West Virginia revealed a moderate correlation between pH and E. coli abundance determined via culture and enzyme-based methods. In samples collected from sites within the two watersheds impacted by historic mining activities, the E. coli uidA gene was measured via quantitative polymerase chain reaction (qPCR) and found to be significantly more abundant than E. coli concentrations measured via culture or enzyme substrate coliform test. However, this discrepancy between methods was greatest in samples with a low pH. Further, experiments in which an environmental strain of E. coli was dosed into samples of MIW diluted with saline at different concentrations confirmed that the culturability of E. coli significantly decreased with increasing MIW concentration, while the total number of intact cells, determined via "live/dead” staining and microscopy, remained high. This finding suggests that culture and enzyme methods may underestimate viable E. coli levels in AMD-impacted waters.

Edge illumination x-ray phase contrast simulations using the CAD-ASTRA toolbox.

Edge illumination x-ray phase contrast imaging (XPCI) provides increased contrast for low absorbing materials compared to attenuation images and sheds light on the material microstructure through dark field contrast. To apply XPCI in areas such as non-destructive testing and inline inspection, where scanned samples are increasingly compared to simulated reference images, accurate and efficient simulation software is required. However, currently available simulators rely on expensive Monte Carlo techniques or wave-optics frameworks, resulting in long simulation times. Furthermore, these simulators are often not optimized to work with computer-aided design (CAD) models, a common and memory-efficient method to represent manufactured objects, hindering their integration in an inspection pipeline. In this work, we address these shortcomings by introducing an edge illumination XPCI simulation framework built upon the recently developed CAD-ASTRA toolbox. CAD-ASTRA allows for the efficient simulation of x-ray projections from CAD models through GPU-accelerated ray tracing and supports ray refraction in a geometric optics framework. The edge illumination implementation is validated and its performance is benchmarked against GATE, a state-of-the-art Monte Carlo simulator, revealing a simulation speed increase of up to three orders of magnitude, while maintaining high accuracy in the resulting images.

Experimental and numerical study on flow characteristics of dual‐cavity die based on multi‐objective optimization

AbstractSlot die coating is a common method of manufacturing electrodes for lithium‐ion batteries. In this paper, a multi‐objective optimization research on the geometry of dual‐cavity die is investigated based on the numerical simulation of lithium battery anode slurry flow combined with the surface response optimization method. First, we use the Plackett–Burman test method to screen the geometric parameters significantly affecting the optimization objective. Then, based on the Box–Behnken response surface analysis method, we determine the optimal combination of parameters. The results show that the inner cavity radius and slot gap are the main structural variables affecting exit‐velocity uniformity and die deformation. The slot gap and slot length mainly affect the inlet pressure. The coefficient of deviation of exit velocity uniformity and average inlet pressure of the optimized die structure decreased by 51.3% and 7.6%, respectively. This research provides theoretical guidance for the design of slot coating dies.Highlights Screening significant geometric parameters using Plackett–Burman test methodology. Box–Behnken response surface analysis to determine optimal parameters. Velocity uniformity and inlet pressure increased by 51.3% and 7.6%, respectively.

Research on the Effect of Spray Ventilation Cooling Systems on Human Physiological and Psychological Indexes

Hot working environment not only affects work efficiency, but also poses a potential threat to the physical and mental health of staff. The current common method for dealing with high temperatures is spray-only or ventilation-only. To investigate the impact of different spray and ventilation modes on indoor high-temperature environments, this study examined their effects on indoor environmental parameters, average skin temperature, and psychological indicators. By establishing an experimental platform for high-temperature thermal environments, a spray ventilation cooling system was implemented, and its cooling efficacy in the indoor thermal environment was analyzed. The environmental classification of the high-temperature working environment under experimental conditions is provided based on the experimental data. A comparison and analysis of environmental parameters and physiological and psychological indicators between moderate and high-temperature environments were conducted. The combination of spray and ventilation modes resulted in a 5.3 °C reduction in air temperature, a 24.1% increase in average relative humidity, and a 3.3 °C reduction in average Wet-bulb Globe Temperature (WBGT). The cooling effect was increased by 2.3 °C and the average relative humidity was increased by 10.8% compared to spray-only and ventilation-only modes. In spray and ventilation mode, when the spray volume is increased by 15 mL/min, the air temperature is reduced by 8.2 °C, the average relative humidity is increased by 31.9%, and the average WBGT is reduced by 5.1 °C. This study has guiding significance for finding a reasonable cooling scheme to cope with indoor high-temperature environments.

A national survey to assess the state of anatomy teaching in France across various disciplines and professions.

To investigate the current practices in anatomy teaching at French universities in 2023. On January 10, 2023, a questionnaire was sent to all members of the official list of the French Medical College of Professors of Anatomy. Each Anatomy centre was asked to complete this online form only once. The questionnaire covered several key themes, including broad questions, dissections practices, "virtual" dissections, teaching methods and teaching staff. The questionnaire was completed by 26/28 anatomy centres. Access to body donor dissection is reported to be mandatory in 15 of the 26 centers (58%), optional in 10 centers (38%), and "tolerated" in one center (4%). Fifteen of 26 centers (58%) reported having a virtual dissection table for teaching anatomy. Concerning the teaching of anatomy via live ultrasound, 10 out of 26 centers (38%) reported providing it. Regarding the teaching methods used for medical students, chalk and board lectures are the most common method, although the intensity of use varies. Most lectures are given with chalk and board in 42% (11/26) of the centers. In about 73% (19/26) of the centers, tablet lectures are used. Regarding anatomy teachers, it was reported that in 24/26 anatomy centres (92%), more than 50% of the courses for medical students are taught by professors holding the chair of anatomy (21/26 professors (81%), 3/26 associate professors (12%)). The present study endeavors to contribute to the existing body of knowledge on anatomy education by offering insights into the current practices in French universities.

Reduction-Induced Magnetic Behavior in LaFeO3-δ Thin Films.

The effect of oxygen reduction on the magnetic properties of LaFeO3-δ (LFO) thin films was studied to better understand the viability of LFO as a candidate for magnetoionic memory. Differences in the amount of oxygen lost by LFO and its magnetic behavior were observed in nominally identical LFO films grown on substrates prepared using different common methods. In an LFO film grown on as-received SrTiO3 (STO) substrate, the original perovskite film structure was preserved following reduction, and remnant magnetization was only seen at low temperatures. In a LFO film grown on annealed STO, the LFO lost significantly more oxygen and the microstructure decomposed into La- and Fe-rich regions with remnant magnetization that persisted up to room temperature. These results demonstrate an ability to access multiple, distinct magnetic states via oxygen reduction in the same starting material and suggest LFO may be a suitable materials platform for nonvolatile multistate memory.

Classification of multi-feature fusion ultrasound images of breast tumor within category 4 using convolutional neural networks.

Breast tumor is a fatal threat to the health of women. Ultrasound (US) is a common and economical method for the diagnosis of breast cancer. Breast imaging reporting and data system (BI-RADS) category 4 has the highest false-positive value of about 30% among five categories. The classification task in BI-RADS category 4 is challenging and has not been fully studied. This work aimed to use convolutional neural networks (CNNs) for breast tumor classification using B-mode images in category 4 to overcome the dependence on operator and artifacts. Additionally, this work intends to take full advantage of morphological and textural features in breast tumor US images to improve classification accuracy. First, original US images coming directly from the hospital were cropped and resized. In 1385 B-mode US BI-RADS category 4 images, the biopsy eliminated 503 samples of benign tumor and left 882 of malignant. Then, K-means clustering algorithm and entropy of sliding windows of US images were conducted. Considering the diversity of different characteristic information of malignant and benign represented by original B-mode images, K-means clustering images and entropy images, they are fused in a three-channel form multi-feature fusion images dataset. The training, validation, and test sets are 969, 277, and 139. With transfer learning, 11 CNN models including DenseNet and ResNet were investigated. Finally, by comparing accuracy, precision, recall, F1-score, and area under curve (AUC) of the results, models which had better performance were selected. The normality of data was assessed by Shapiro-Wilk test. DeLong test and independent t-test were used to evaluate the significant difference of AUC and other values. False discovery rate was utilized to ultimately evaluate the advantages of CNN with highest evaluation metrics. In addition, the study of anti-log compression was conducted but no improvement has shown in CNNs classification results. With multi-feature fusion images, DenseNet121 has highest accuracy of 80.22±1.45% compared to other CNNs, precision of 77.97±2.89% and AUC of 0.82±0.01. Multi-feature fusion improved accuracy of DenseNet121 by 1.87% from classification of original B-mode images (p<0.05). The CNNs with multi-feature fusion show a good potential of reducing the false-positive rate within category 4. The work illustrated that CNNs and fusion images have the potential to reduce false-positive rate in breast tumor within US BI-RADS category 4, and make the diagnosis of category 4 breast tumors to be more accurate and precise.

Interaction Effect of Management Communication and Workplace Formalization on Shared Goals and Commitment of Employees During Post-Merger and Acquisition Integration

This research analyzes the effect of management communication on shared goals and organizational commitment of employees during post-merger and acquisition integration. In addition, we examine whether a work policy in terms of formalization could moderate the effect of management communication on shared goals of employees. Survey data were collected from 209 employees at a company in the power and energy sector in Thailand which was acquired by another company. We implemented multisource data collection to prevent common method variance issues in cross-sectional surveys. Partial least squares structural equation modeling was then used to analyze the data. Based on the findings, we discovered supporting evidence confirming the positive association between management communication and shared goals. Shared goals also mediate the effect of management communication on organizational commitment. Moreover, moderating effect analysis showed that the degree to which management communication affects shared goals is stronger among employees in the work units that have high levels of formalization than those in work units that have low levels of formalization. In essence, our study provides new evidence showing that workplace formalization could be the factor that intensifies the degree to which management communication encourages employees to develop shared goals. Our research also provides some implications for human capital development and policy recommendations during organizational change.

Ultrasound assisted extraction of sappan wood (Caesalpinia sappan L.) using different solvents

Caesalpinia sappan L. or known as sappan wood is a plant that had been used in traditional food, beverages and traditional medicine. It contains many active phytochemicals compound such as brazilin, sappanchalcone, xanthone, coumarin and flavones. Extraction is the common method to get the active compounds in plants and the use of new method of extraction is very recommended. The research was aimed to analyze the effect of different solvent (ethanol, water and 2-propanol) to the characteristic of sappan wood extract obtained from ultrasound assisted extraction (UAE) process. Approximately 10 g of sappan wood was mixed with 100 ml solvent and extracted using probe type of ultrasound extractor for 15 mins and 500C. Extracts were analyzed for their yield, color, phytochemical compound, total phenolic content (TPC) and antioxidant activity. Ethanol gives the highest yield (6.125%) with the color tends to be between ruby red and traffic red. This result is in accordance with the calculation of Hansen solubility parameter (HSP). All of the three extracts contained saponin, tannin, flavonoid and triterpenoid. Ethanol also gives the highest TPC (254.14 mg GAE/100 g) and lowest IC50 (3.19). It can be concluded that ethanol is better solvent to extract phytochemical component in sappan wood.

Abandoned Farmland Extraction and Feature Analysis Based on Multi-Sensor Fused Normalized Difference Vegetation Index Time Series—A Case Study in Western Mianchi County

Farmland abandonment monitoring is one of the key aspects of land use and land cover research, as well as being an important prerequisite for ecological environmental protection and food security. A Normalized Difference Vegetation Index (NDVI) time series analysis is a common method used for farmland abandonment data extraction; however, extracting this information using high-resolution data is still difficult due to the limitations caused by cloud influence and data of low temporal resolution. To address this problem, this study used STARFM for GF-6 and Landsat 8 data fusion to enhance the continuity of high-resolution and cloudless images. A dataset was constructed by combining the phenological cycle of crops in the study area and then extracting abandoned farmland data based on an NDVI time series analysis. The overall accuracy of the results based on the NDVI time series analysis using the STARFM-fused dataset was 93.42%, which was 15.5% higher than the accuracy of the results obtained using only GF-6 data and 28.52% higher than those obtained using only Landsat data. Improvements in accuracy were also achieved when using SVM for time series analysis based on the fused dataset, indicating that the method used in this study can effectively improve the accuracy of the results. Then, we analyzed the spatial distribution pattern of abandoned farmland by extracting the results and concluded that the abandonment rate increased with the increase in the road network density and decreased with the increase in the distance to residential areas. This study can provide decision-making guidance and scientific and technological support for the monitoring of farmland abandonment and can facilitate the analysis of abandonment mechanisms in the study area, which is conducive to the sustainable development of farmland.

Damage Detection in FRP-Reinforced Concrete Elements.

Fiber-Reinforced Polymer (FRP) composites have emerged as a promising alternative to conventional steel reinforcements in concrete structures owing to their benefits of corrosion resistance, higher strength-to-weight ratio, reduced maintenance cost, extended service life, and superior durability. However, there has been limited research on non-destructive testing (NDT) methods applicable for identifying damage in FRP-reinforced concrete (FRP-RC) elements. This knowledge gap has often limited its application in the construction industry. Engineers and owners often lack confidence in utilizing this relatively new construction material due to the challenge of assessing its condition. Thus, the main objective of this study is to determine the applicability of two of the most common NDT methods: the Ground-Penetrating Radar (GPR) and Phased Array Ultrasonic (PAU) methods for the detection of damage in FRP-RC elements. Three slab specimens with variations in FRP type (glass-, carbon- and basalt-FRP, i.e., GFRP, CFRP, and BFRP, respectively), bar diameter, bar depths, and defect types were investigated to determine the limitations and detection capabilities of these two NDT methods. The results show that GPR could detect damage in GFRP bars and CFRP strands, but PAU was limited to damage detection in CFRP strands. The findings of this study show the applicability of conventional NDT methods to FRP-RC and at the same time identify the areas with a need for further research.