Types Of Methods Research Articles

Trivalent Rare Earth Ion‐Doped Metal Halide Perovskite Near‐Infrared Semiconductors for High‐Performance Optoelectronic Devices

AbstractGiven the extensive application of near‐infrared (NIR) emission, the quest for efficient and versatile NIR semiconductors have attracted tremendous attention. Leveraging trivalent rare earth (RE3+) ions doping, the integration of metal halide perovskites with RE3+ ions makes it easy to achieve NIR‐II emission (1000–1700 nm). However, although showing promise in bioimaging, optical communication, and night vision, enhancing NIR‐II emission intensity to promote further progress in real‐world applications remains a challenge. This review summarizes the recent advancements in RE3+ ion‐doped perovskite NIR semiconductors, and discusses what kind of properties are needed and how to achieve desired optical properties in various applications. The review starts with the synthesis methods for various material types with rich examples. Following this, the mechanisms of strategies for optimizing NIR luminescence performance are discussed in detail. Furthermore, the review highlights their multifunctional applications both as an electrically driven emitter in NIR light‐emitting diodes (LEDs) and as a down‐conversion emitter in photovoltaic devices (PVs) or phosphor‐converted LEDs (pc‐LEDs). Finally, insights on how to fill the gap between current research and future goals are provided. This review aims to provide a deeper understanding of RE3+ ion‐doped NIR light‐emitting perovskite materials, and to promote the exploration of efficient NIR emitters.

Biomechanical study of knee joint based on coronal plane alignment of the knee

To establish a finite element model of the knee joint based on coronal plane alignment of the knee (CPAK) typing method, and analyze the biomechanical characteristics of different types of knee joints. The finite element models of the knee joint were established based on CT scan data of 6 healthy volunteers. There were 5 males and 1 female with an average age of 24.2 years (range, 23-25 years). There were 3 left knees and 3 right knees. According to the CPAK typing method, the knees were rated as types Ⅰ to Ⅵ. Under the same material properties, boundary conditions, and axial loading, biomechanical simulations were performed on the finite element model of the knee joint. Based on the Von Mises stress nephogram and displacement nephogram, the peak stresses of the meniscus, femoral cartilage, and tibial cartilage, and the displacement of the meniscus were compared among different types of knee joints. The constructed finite element model of the knee joint was verified to be effective, and the stress and displacement results were consistent with previous literature. Under the axial load of 1 000 N, the stress nephogram showed that the stress distribution of the medial and lateral meniscus and tibial cartilage of CPAK type Ⅲ knee joint was the most uneven. The peak stresses of the lateral meniscus and tibial cartilage were 9.969 6 MPa and 2.602 7 MPa, which were 173% and 165% of the medial side, respectively. The difference of peak stress between the medial and lateral femoral cartilage was the largest in type Ⅳ knee joint, and the medial was 221% of the lateral. The displacement nephogram showed that the displacement of the medial meniscus was greater than that of the lateral meniscus except for types Ⅲ and Ⅵ knee joints. The difference between medial and lateral meniscus displacement of type Ⅲ knee joint was the largest, the lateral was 170% of the medial. In the same type of joint line obliquity (JLO), the medial and lateral stress distribution of the knee was more uniform in varus and neutral positions than in valgus position. At the same time, the distal vertex of JLO subgroup can help to reduce the uneven medial and lateral stress distribution of varus knee, but increase the uneven distribution of valgus knee.

Advanced inference techniques for two-parameter Topp-Leone models under unified progressively hybrid censoring

In this study, we examine the unified progressive hybrid censoring scheme from Topp-Leone models, and we show that while the maximum likelihood estimates of the model parameters are uniquely exist, they cannot be obtained in a closed form. To obtain these estimates, we utilize two frequentist algorithms—the Expectation-Maximization method and an Expectation-Maximization type method. We also derive confidence intervals for the unknown parameters using both asymptotic distributions of the maximum likelihood estimators and bootstrap approaches. Furthermore, we develop sample-based Bayes estimates for the model parameters under different error loss functions, such as square, LINEX, and entropy loss functions. To approximate the Bayes estimates, we apply importance sampling and Metropolis-Hastings algorithms. We also construct Bayes credible intervals for the estimates. To assess the performance of the proposed methods, we conduct a numerical simulation study. Finally, we analyze a real data set to illustrate the practical application of our proposed methods and their findings. The study highlights the usefulness of hybrid censoring schemes and the applicability of various statistical methods for parameter estimation and inference.

Phenotypic and genotypic characterization of Candida species from the oral cavity of healthy individuals in Lublin province, Poland

ABSTRACT Background Candida spp., particularly C. albicans, are commonly isolated fungi in the oral cavity. However, their prevalence in healthy participants and their genotype–phenotype relation remains elusive. Aim This study aimed to update the information on Candida species colonizing the oral cavity of healthy population, identify the most common species, and characterize the intraspecific diversity to determine the genotype-phenotype relationship. Methods Oral swabs of healthy participants who declared an absence of oral infection were analyzed. Microbiological methods: chromogenic media, sugar assimilation tests, drug susceptibility, filamentation tests, temperature tolerance analysis, and assessment of biofilm formation ability. Genotyping methods: PCR amplification of the internal transcribed spacer (ITS) region with MspI restriction enzyme digestion and 25S rDNA region. Results Of the 500 individuals tested, 130 harbored C. albicans in 77%, C. dubliniensis in 12%, Pichia kudriavzevii (previously C. krusei) in 8%, and Nakaseomyces glabrata (previously C. glabrata) in 3%. The microbiological tests yielded conflicting results. Analysis of the 25S rDNA transposable intron region contributed to the identification of individual Candida spp. and intraspecific identification of C. albicans genotypes. Genotype A accounted for 70% (n = 100) of C. albicans isolates, whereas genotypes B, C, and D (C. dubliniensis) accounted for 17%, 9%, and 4% of the isolates, respectively. Conclusion The results indicate a complex genotype–phenotype relationship in Candida spp. and recommends combining microbiological and molecular methods for the efficient typing of Candida spp.

Viral concentration method biases in the detection of viral profiles in wastewater.

Viral detection methodologies used for wastewater-based epidemiology (WBE) studies have a broad range of efficacies. The complex matrix and low viral particle load in wastewater emphasize the importance of the concentration method. This study focused on comparing three commonly used virus concentration methods: polyethylene glycol precipitation (PEG), immuno-magnetic nanoparticles (IMNP), and electronegative membrane filtration (EMF). Influent and effluent wastewater samples were processed by the methods and analyzed by DNA/RNA quantification and sequencing for the detection of human viruses. SARS-COV-2, Astrovirus, and Hepatitis C virus were detected by all the methods in both sample types. PEG precipitation resulted in the detection of 20 types of viruses in influent and 16 types in effluent samples. The corresponding number of virus types detected was 21 and 11 for IMNP, and 16 and 8 for EMF. Certain viruses were unique to only one concentration method. For example, PEG detected three types of viruses in influent and six types in effluent compared to IMNP, which detected seven types in influent and one type in effluent samples. However, the EMF method appeared to be the least effective, detecting three types in influent and none in effluent samples. Rotavirus was detected in influent sample using IMNP method, whereas EMF and PEG methods failed to yield a similar outcome. Consequently, the potential false negative results pose a risk to the credibility of WBE applications. Therefore, implementation of a proper concentration technique is critical to minimize method biases and ensure accurate viral profiling in WBE studies.IMPORTANCEIn recent years, significant research efforts have been focused on the development of viral detection methodology for wastewater-based epidemiology studies, showing a range of variability in detection efficacies. A proper methodology is essential for an appropriate evaluation of disease prevalence and community health in such studies and necessitates designing a concentration method based on the target pathogenic virus. There remains a need for comparative performance evaluations of methods in the context of detection efficiencies. This study highlights the significant impact of sample matrix, viral structure, and nucleic acid composition on the efficacy of viral concentration methods. Assessing WBE techniques to ensure accurate detection and understanding of viral presence within wastewater samples is critical for revealing viral profiles in municipality wastewater samples.

MIRA/PfAgo-Mediated Biosensor for Multiplex Human Enteroviruses Virus Typing Detection on HFMD.

Hand, foot, and mouth disease (HFMD), caused by enteroviruses, mostly including EV71, CVA6, CVA10, and CVA16, is an acute infectious disease commonly found in children. Due to no approved antiviral therapies and available vaccines, except for EV71, developing accurate diagnostic methods of HFMD is essential for controlling its spread and mitigating its impact on public health. Here, we create a MIRA-HEV-PAND multiple nucleic acid typing method that utilizes PfAgo to identify enterovirus type A pathogens (EV71, CVA6, CVA10, and CVA16) and universal type EVU. The MDC (minimum detection concentration) level of MIRA-HEV-PAND is within the range of 1.66 aM (1.0 copy/μL), which was matched to that of qPCR assays and even more sensitive up to 10%. Importantly, the MIRA-HEV-PAND method exhibits higher sensitivity and less time-consuming efficiency compared to the approach that combines PCR amplification instead of MIRA amplification. Meanwhile, though the quintuple and single-tube multiple MIRA-HEV-PAND detection system can be used for one viral target or multiple viral target detection, the single-tube detection system detects more efficiently and rapidly than the quintuple-tube multiple detection system. Moreover, the diagnostic results obtained by evaluating clinical samples using MIRA-HEV-PAND show a complete consistency of 100% with qPCR assays. The MIRA-HEV-PAND method can screen a wider range of target regions using low-cost guide DNA without being limited to PAM sequences, compared to the MARPLES based on the CRISPR-Cas12a. The utilization of this correlation can be beneficial for the application of molecular testing for clinical diagnoses and the study of human enteroviruses A infection and virus typing on an epidemiological scale.

Pain level and analgesic requirements in patients who underwent vaginal pelvic floor surgery following general or spinal anesthesia.

This retrospective cohort study aimed to investigate postoperative pain levels and analgesic drug requirements in women who underwent GA or SA during vaginal pelvic floor surgeries. A retrospective cohort study. Women aged 18 or above who underwent vaginal pelvic floor surgery between 2019 and 2021 were included in the study. Univariate and multivariate analyses were performed separately for vaginal wall repair and stress urinary incontinence surgery. During the study period, 101 women underwent surgery under SA, and 99 women underwent surgery under GA. Intravenous analgesia administration rates were significantly lower under SA for both vaginal wall repair (20.2% vs. 38.9%, P=0.017) and mid-urethral sling placement (20.2% vs. 37.8%, p=0.007). Multivariate analysis revealed that intravenous analgesia requirement was significantly lower in the SA group than in the GA group after controlling for patient's age, concurrent hysterectomy, and mesh placement for vaginal wall repair (aOR= 0.33, p=0.008) and mid-urethral sling placement (aOR= 0.37, p=0.004). Limitaions: This is a rerospective study, thus the choice of anesthesia may be biased. SA is associated with less postoperative pain and intravenous analgesia requirement in women who undergo vaginal pelvic floor surgeries. However, further research is needed to determine the preferred anesthesia method for specific types of pelvic floor surgeries. GENERAL ANESTHESIA; SPINAL ANESTHESIA, ANALGESIA, PELVIC FLOOR SURGERY, PELVIC ORGAN PROLAPSE, STRESS URINARY INCONTINENCE, ERAS. Vaginal pelvic floor surgeries under spinal anesthesia is associated with less postoperative pain and intravenous analgesia requirement.

The I-learning model improvement on writing digital-based scientific papers for students of faculty of letters universitas Muslim Indonesia

The time-consuming and often fraught writing process can be draining and demotivate writers from completing their writing well. By overcoming these problems, writers can improve the effectiveness and quality of their scientific writing. The problem limitation in this study, how is the development of the I-Learn model on digital-based scientific writing for students of the Faculty of Letters UMI? In connection with the statement of the problem, the purpose of this study is to produce a development of the I-Learn model of learning scientific writing for students of the Faculty of Letters, UMI. Development research or Research and Development (R&D) is a process or steps to develop a new product, or improve existing products, which can be accounted for. The variable as the focus of review in this study is the I-Learn learning model on digital-based scientific writing. The development of the I-Learn model in learning to write digital-based scientific papers was carried out by following the ADDIE development model. The ADDIE development process is carried out through five stages, namely 1) Analysis (Analyze); 2) Design; 3) Development; 4) Implement; and 5) Evaluate. Analysis is used to obtain an initial description of the learning conditions for digital-based scientific writing for students of the Faculty of Letters, Universitas Muslim Indonesia. This analysis stage is carried out using a qualitative research method of literature study type. The research data is qualitative data obtained from document analysis, interviews, and observations. The research data can be divided into four parts, namely: (1) curriculum analysis, (2) Learning PlanAnalysis, (3) teaching material analysis, and (4) interview and learning process analysis.

The association between foot morphology and foot loading during gait

The perceived association between foot type and injury risk has inspired the development of many foot typing methods. The purpose of this study was to determine how well different foot typing methods explained variations in regional foot loading in asymptomatic adults during gait, while considering age, sex, and walking speed as covariates. Six methods were used to determine foot type in 92 asymptomatic adults. An insole pressure sensor system measured peak force and force-time integral during treadmill walking at a self-selected pace. The foot was divided into nine regions and the association between foot type and foot loading was analyzed using generalized estimating equations (GEE) while accounting for the covariates. Over an average of 250 steps per individual, the results demonstrated variability in the association between regional foot loading and foot type. Specifically, Arch Index and X-Ray Arch Type correlated with hindfoot and midfoot loading, while Foot Posture Index correlated with medial midfoot, forefoot, and toe loading. Calcaneal Pitch and Meary’s Angle correlated with medial hindfoot, midfoot, and forefoot loading, while Varus/valgus angle correlated with loading in the forefoot and toes. The location and direction of associations were generally similar for Calcaneal Pitch, Meary’s Angle, and X-Ray Arch Type, and opposite of Arch Index. The analyses demonstrated that walking speed, age, and sex were all important factors that affected the relationship between plantar loading and foot type. Specific foot type methods correlate better with loading in specific foot regions, potentially making them better to evaluate injury risk in those regions.

Clinical Applicability of 2-Field High-Resolution and Extended HLA-Allele Typing in Deceased Donor Kidney Allocation.

HLA-compatibility remains an important triage test for deceased donor kidney allocation. Low-intermediate resolution donor HLA-typing is typically available at allocation, but its accuracy in assigning pre-transplant donor-specific anti-HLA antibody (DSA) and HLA mismatches compared to 2-field high-resolution typing is poorly characterised. Consecutive deceased donor/recipient pairs from a single centre between 2016 and 2020 were included. Majority of donor typing at HLA-ABDRB1 loci were performed at low-intermediate resolution, with 2-field high-resolution NGS typing across extended loci performed by NGS-technique post-transplantation. We compared the two typing methods for (1) accuracy of pre-transplant DSA assignment; (2) misassignment of HLA-antigen/allele mismatches and performance of each model for acute rejection and (3) proportion of recipients who developed de novo DSA (dnDSA) when matched at antigen but mismatched at allele level. Of 179 deceased donor/recipient pairs, 157 donors had low-intermediate resolution typing and 22 with high-resolution ONT typing. Sixty-two recipients (35%) had potential pre-transplant DSAs, with incorrect assignment of allele-specific Class I and II actual DSAs in 31% and 53% of cases, respectively. NGS typing identified 59 (33%) additional HLA-DRB1 allele mismatches. ONT typing accurately assigned pre-transplant DSAs and allele mismatches in all cases. Seven (4%) recipients with antigen/allele level discordance developed dnDSAs, majority HLA-DQ antibodies. Two-field high-resolution donor HLA typing may provide a more accurate transplant immunological risk assessment and identify those at risk of developing dnDSA to matched HLA antigen.

Blood Group Detection Using Fingerprint Images

Blood group detection is a crusial aspect of medical diagnostics, widely used in blood transfusions, organ transplants, and prenatal care. Traditional blood typing methods require blood samples and reagents, which can be invasive, timeconsuming, and costly. This research proposes a novel, non-invasive approach to identify blood group using fingerprint analysis. By using Cutting-edge techniques for image processing , we analyse unique fingerprint patterns and identify specific features linked to blood types. Our methodology incorporates image enhancement, Extracting data attributes and employing learning algorithms to classify blood groups accurately. We are planning to optimize and check the performance of the model on a robust dataset, achieving promising correctness and performance in blood group prediction. This technique holds promise to redefine blood typing processes, providing a rapid, cost-effective, and accessible solution for various medical applications, particularly in remote or resource-limited areas. Further improvements in accuracy through larger datasets and advanced algorithms could establish fingerprint-based blood group detection as a viable alternative to conventional methods.

The Algebraic Structure of an Implicit Runge-Kutta Type Method

Abstract: In this paper, the theory of linear transformation (Homomorphism) and monomorphism is applied to a first-order Runge-Kutta Type Method illustrated in a Butcher Table and the extended second order Runge- Runge-Kutta type Method to substantiate their uniform order and error constants obtained. A homomorphism is a mapping from one group to another group which preserves the group operations. It’s sometimes called the operation preserving function. The methods which initially are Linear Multistep were reformulated into Runge-Kutta (R-K) Type to establish the advantages the R-K has over Linear Multistep. The first-order Linear multistep was reformulated into first-order R-K type which was further extended to second order. This extension can be made to higher order. For this study, the extension was limited to the second order.

Implementasi Metode Stad (Student Teams Achievement Division) Berbantuan Media Video Interaktif untuk Meningkatkan Keaktifan Siswa Kelas XI-7

This study aims to increase the creativity of grade XI students at SMAN 2 Batu byimplementing the Student Teams Achievement Division (STAD) Method with the help ofinteractive video media. The STAD method is a cooperative learning type method thatemphasizes interaction between students to motivate each other and help each other inmastering the material optimally. This research is a Classroom Action Research (PTK). The data collection techniques used are observation, documentation studies and tests. The results showed that the implementation of the STAD method with the help of interactive video media had a positive impact on increasing the activeness of grade XI students of SMAN 2 Batu. Students who participated in learning with the STAD method and learning video media showed a significant increase in individual and group student learning activity by 28% and 58%.

Sensitivity analysis of aero-engine performance optimization control system and its hardware test verification

Abstract The performance seeking control (PSC) method is aimed at improving the performance of aircraft engine without changing hardware devices. However, the complexity of the system makes it difficult to achieve its application in engineering. Thus, the key issues in PSC of turbofan engine are studied based on global sensitivity analysis, and the improvements are made to the optimization system according to the analysis. Firstly, the principle of PSC is analyzed based on traditional frameworks. And an improved linear programming method based on task scheduling is proposed to reduce the time consumption within a single closed-loop simulation. The impact of the estimation model accuracy on optimization results is studied adopting a sensitivity analysis method based on Monte Carlo sampling to address the optimization lose efficacy. Finally, the hardware-in-the-loop simulation is carried out utilizing model-based design method in a certain type of turbofan engine electronic controller.

Chemical contamination in the extracted DNA affects the results of HLA typing by the PCR-SSOP method.

The purity of the extracted DNA is critical for successful molecular testing. This study aimed to compare the effect of various DNA extraction methods, extraction processes, and sources of consumables, such as microtubes, on PCR results. DNA extraction from whole blood was performed using four different approaches utilizing four types of microtubes: chloroform-based, sodium perchlorate-based, heat-assisted salting out, and solid-phase extraction. Extracted DNA was evaluated by nanodrop spectrophotometry and used in PCR-based methods for human leukocyte antigens (HLA) typing. The lowest and highest concentrations of extracted DNA were observed in the column-based and heat-assisted methods, respectively. The mean ratios of A260/A230, represents chemical contamination, were significantly lower in all extraction methods using all types of microtubes versus "A" microtube. We observed the highest mean ratio of A260/A230 (> 1.9) in the sodium perchlorate method by using the "A" microtube compared to other types of microtubes and extraction methods. Extracted DNA samples using microtube "A" showed acceptable results for HLA typing compared to other microtubes that represented uninterpretable results in the PCR using the sequence-specific oligonucleotide probe (PCR-SSOP) method. Our findings indicate that the chemical contaminations derived mainly from microtubes can decrease the quality of DNA and consequently interfere with the amplification or hybridization reactions in the PCR-SSOP method for HLA typing. Although, technical issues and extraction processes may also influence the quality of DNA.

Maximum lq-likelihood estimator of the heavy-tailed distribution parameter

Studying the extreme value theory (EVT) involves multiple main objectives, among them the estimation of the tail index parameter. Some estimation methods are used to estimate the tail index parameter like maximum likelihood estimation (MLE). Additionally, the Hill estimator is one type of maximum likelihood estimator, which is a more robust with a large sample than a small sample. This research proposes the construction of an alternative estimator for the parameter of the heavy-tailed distribution using the maximum lq-likelihood estimation (MLqE) approach in order to adapt the ML and Hill estimator with the small sample. Furthermore, the maximum lq-likelihood estimator asymptotic normality is established. Moreover, several simulation studies in order to compare the MLq estimator with the ML estimators are provided. In the excesses over high suitable threshold values the number of the largest observation k will lead to an efficient estimate of the Hill estimator. For this, selection of k in the Hill estimator was investigated using the method of the quantile type 8 which is effective with the hydrology data. The performance of the Hill estimator and the lq-Hill estimator is subsequently compared by employing real relies with the distribution of hydrology data.

Evaluation of Variables Influencing Mortality in Periprosthetic Femur Fractures: Do Fracture Type and Surgical Method Affect Mortality?

Evaluation of Variables Influencing Mortality in Periprosthetic Femur Fractures: Do Fracture Type and Surgical Method Affect Mortality?

Chemotagging: a chemogenetic approach for identifying cell types with in vivo calcium imaging.

The ability to monitor the activity of specific cell types in vivo is critical for understanding the complex interplay between various neuronal populations driving freely moving behavior. Existing methods, such as optogenetic tagging (i.e., Optotagging 1 ), have proven useful for identifying cell types in in vivo electrophysiological recordings during freely moving behavior. However, electrophysiological recordings are limited in their capacity to track the same neuronal populations across long periods of time (days to weeks). Single-photon miniscope imaging offers the advantage of tracking the same cells across weeks to months; however, it is difficult to distinguish different cell types within the recorded population. Here, we present "chemotagging," a technique that allows for the identification of specific cell types in in vivo calcium imaging recordings. This protocol offers a method for tagging cell types with chemogenetic tools like Designer Receptors Exclusively Activated by Designer Drugs (DREADDs) 2 , while simultaneously recording calcium activity from a pan-neuronal population with calcium indicators. We highlight the key advantages and limitations of chemotagging and its potential implications for neuroscience research.

OLM-SLAM: online lifelong memory system for simultaneous localization and mapping

Abstract Simultaneous Localization and Mapping is a fundamental task for robots in unknown environments. However, the poor generalization ability of learning-based algorithms in unknown environments hinders their widespread adoption. Additionally, artificial neural networks are subject to catastrophic forgetting. We propose a lifelong SLAM framework called OLM-SLAM that effectively solves the neural network catastrophic forgetting problem. To ensure the generalization of the neural network, this paper proposes a method for the sensitivity analysis of the network weight parameters. Meanwhile, inspired by human memory storage mechanisms, we design a dual memory storages mechanism that retains dynamic memory and static memory. A novel memory filtering mechanism is proposed to maximize image diversity within a fixed-size memory storage area addressing the problem of limited storage capacity of embedded devices in real-world situations. We have extensively evaluated the model on a variety of real-world datasets. Compared with CL-SLAM, the overall translation error of the test sequence is improved by 44.9%. The translation and rotation errors of Retention Ability were improved by 111.6% and 66.7%, respectively. The results demonstrate that OLM-SLAM can outperform previous methods of the same type, and OLM-SLAM has high retention ability when facing different sequences of the same type of environment.

Innominate Artery Translocation with Hemiarch Replacement Strategy for Acute Type A Aortic Dissection: a Single-Center Study.

Aggressive surgical methods for acute type A aortic dissection (ATAD) can cause extended operating times and postoperative complications. less extensive techniques may increase the risk of needing further aortic reintervention. To prevent the need for extensive aortic arch surgery and subsequent re-sternotomy, hemiarch replacement (HAR) with innominate artery (a.) translocation is performed to create a suitable proximal landing zone for future endovascular repair. Retrospective study of 112 patients with ATAD who underwent aortic surgery from January 2009 to December 2020. Forty-one patients underwent HAR with innominate artery translocation, 16 underwent total arch replacement (TAR), and 55 underwent only HAR. Multivariable Cox regression and logistic regression analyses were used to study the outcomes and risk factors. The TAR group had a higher incidence of postoperative acute kidney injury. The overall mortality rate of the TAR group was 25%, compared with 20% in the HAR group and 14.6% in the translocation group. The 5-year overall survival rates for the groups were 81.9%, 75.0%, and 77.7%, respectively. False lumen thrombosis at the aortic arch and descending aorta level were factors associated with reduced mortality in both univariable and multivariable analyses. The translocation group had a significantly higher reintervention rate of 41.5% compared with the TAR and HAR groups, with rates of 31.3% and 16.4%, respectively. The median reintervention time for the translocation group was 4.72 years. Despite the innominate translocation technique having a higher reintervention rate, it had similar mortality outcomes to HAR and TAR. Thus, it could be a more convenient option for reintervention, including creating a proximal landing zone, which could benefit patients needing endovascular repair.