Transfer Protocol Research Articles

An efficient method for generating gene deletion mutants of the dimorphic prosthecate bacteria Maricaulales

Maricaulales, the taxonomic Latin nomenclature for a particular bacterial order, have emerged as a prominent group among marine dimorphic prosthecate bacteria, primarily due to their distinctive cellular morphology. This study selected four representative strains of Maricaulales to devise a standardized gene knockout methodology. Through a systematic optimization of conjugation transfer factors, a dependable conjugation transfer technique was successfully established. Following this, the utilization of the optimized conjugation transfer protocol facilitated the successful knockout of the genes encoding the holdfast anchor protein in all four chosen Maricaulales strains. In conclusion, this research introduces a novel and efficient gene knockout tool specifically developed for engineering Maricaulales

Utilisation and outcomes of a mobile (ambulance and air transport) venovenous extracorporeal membrane oxygenation (VV-ECMO) program in Poland during the COVID-19 pandemic - a retrospective, two-centres, case-series study.

Many patients required mechanical ventilation support due to severe COVID-19 pneumonia. A significant proportion of mechanically ventilated patients also required venovenous extracorporeal membrane oxygenation (VV-ECMO) due to refractory hypoxemia. A high demand for VV-ECMO support during the pandemic was challenging due to many factors, including limited resources and lack of established transfer protocols. This study aims to present the organisation and outcomes of a mobile VV-ECMO program in two high-volume centres in Poland during the COVID-19 pandemic. This retrospective, two-centre case series study, which lasted 36 months, was conducted between March 10, 2020, and January 31, 2023. The data of all patients transferred using venovenous extracorporeal membrane oxygenation (VV-ECMO) were analysed, including five women in the perinatal period with severe respiratory failure attri-buted to the COVID-19 virus. The analysis encompassed baseline patient demographics, Sequential Organ Failure Assessment (SOFA) scores, admission laboratory parameters, ECMO therapy, duration of mechanical ventilation, and patient survival to ICU discharge. We assessed 86 patients who met the ELSO inclusion criteria and were transported during VV-ECMO support. Mortality in the analysed group was high (80.3%). Despite high mortality, VV-ECMO appeared to be a safe procedure in COVID-19 patients with severe ARDS. No complications were noted in more than half of the analysed procedures. Despite the above, many severe complications were observed, including stroke or cerebral haemorrhage (9.8%) and limb or gut ischemia (1.6%). The most common problems co-existing with VV-ECMO treatment were bleeding complications (34.4%). The ICU mortality rate among patients requiring VV-ECMO for COVID-19 in high-volume ECMO centres was high but not associated with the type of transportation.

An HTTP REST API for Tape-backed Storage

The goal of the HTTP REST API for Tape project is to provide a simple, minimalistic and uniform interface to manage data transfers between Storage Endpoints (SEs) where the source file is on tape. The project is a collaboration between the developers of WLCG storage systems (EOS+CTA, dCache, StoRM) and data transfer clients (gfal2, FTS). For some years, HTTP has been growing in popularity as the preferred data transfer protocol between many WLCG SEs. However — unlike other protocols such as XRootD and SRM — HTTP does not include a method to stage files from tape to disk prior to transfer, forcing the use of workarounds such as hybrid protocols (different protocols used for the “stage” and “transfer” parts of the operation). The HTTP REST API offers a simple and consistent solution, by extending the HTTP protocol to include staging operations. It provides clients with a common and consistent API across different storage systems to manage and monitor the disk and tape residency of stored files. In this contribution, we present the history and motivation of the HTTP REST API project, the specification of version 1 of the API and implementation details in the various storage and data transfer systems. We also describe our experience of its deployment and use for LHC Run-3 operations. We conclude with a discussion of possible future work.

Scientific Community Transfer Protocols, Tools, and Their Performance Based on Network Capabilities

Scientific Community Transfer Protocols, Tools, and Their Performance Based on Network Capabilities

ПРОТОКОЛ DDS КАК ЕДИНАЯ СРЕДА ПЕРЕДАЧИ ДАННЫХ В РЕЖИМЕ РЕАЛЬНОГО ВРЕМЕНИ

For the effective development of agricultural complexes, the introduction of a variety of advanced technologies, including unmanned aerial vehicles, is especially important. In the distributed control systems used in various agricultural complexes and logging industries using unmanned aerial vehicles, the classical hardware and software architecture for creating such systems has been established. However, this approach has a number of significant drawbacks, in particular, the presence of a large number of different data bus standards at different levels of the platform architecture, which quite often significantly complicates the integration of individual parts of the system. The lack of a single standard within the software protocol for real-time data transmission leads to data fragmentation at all levels of the system as a whole. (Research Purpose) The research purpose is developing the concept of a hardware and software architecture for transmitting information data based on the Data Distribution Service protocol in real time as part of monitoring, managing and distributing tasks between unmanned aerial vehicles, as well as at all levels of a distributed agroforestry system using modern technologies and practices of the industrial Internet of Things. (Materials and methods) Used open sources of international communities in the field of automation and the industrial Internet of Things, as well as domestic and foreign scientific publications on this subject. The method of decomposition by automation levels was applied; the method of decomposition by functionality performed by individual hardware and software components of the system; the method of summarizing information from modern sources on the subject of research; formalization of hardware and software structures in the form of schematic diagrams. (Results and discussion) We have developed a concept for transmitting information data based on the Industrial Internet of Things Data Distribution Service protocol to ensure real-time data transmission. The proposed system makes it possible to implement unified information flows for monitoring and controlling unmanned aerial vehicles at all levels of a distributed agroforestry system. This helps simplify the integration of unmanned aerial systems into agroforestry systems of various orientation and complexity, eliminating difficulties in the interaction of various system components at all levels, including cloud solutions and other Industrial Internet of Things platforms. (Conclusions) As a result of the study, the problems of integrating the information flows of the agroforestry system and data transmission at its various levels were identified. It is proposed to use the Data Distribution Service data transfer protocol as a single standard at all levels of the system, which in the future will ensure compatibility and ease of integration of unmanned aerial vehicles of various manufacturers within a single system.

Artificial Intelligence Techniques in Semantic Web Services

It relates to the conventional machine interaction services, is the server end of a Client-Server system relates to the data on web that is understandable by the machines, its primary objective is to permit the humans and machines together. The World Wide Web is progressing quickly in the direction of the concept of semantic language for database. The ontology tool Protégé consists of the SPARQL Query Tab to execute the queries, whereas the alternative is the Apache Jena Fuseki. The semantic web framework is comprised of different Application interfaces that interacting collectively to execute RDF data. The Fuseki supports the SPARQL queries over Hyper Text Transfer Protocol. Apache Jena Fuseki is based framework for developing Artificial Intelligence Techniques in Semantic Web Services. The proposed methodology can handle queries of various convolutions and complexities. Semantic web services on the server end provide structured and standardized information about the services they offer, typically using technologies related to ontology ensure that the data is both readable and process by machines based on ontology. The Experimental Analysis is given along with the results based on different ontology based technologies. In the disciplines of design, Thinking and implementation, along with representation ontologies are used for semantic web services.

Research on the Personal Data Portability Based on the Perspective of Property Rights Theory in the Context of Enterprise Digital Transformation

This study examines the right to data portability under the industrial economics theory, and addresses the problems of ambiguous boundaries, inconsistent formats, and data sharing. Based on the relational transactions in China, this study analyses the right to data portability from three aspects: transaction boundaries, transaction frequency, and exclusive nature. From the viewpoint of transaction uncertainty, it is necessary to clarify the content of transaction data and define the property rights boundary. From the view of transaction frequency, more detailed regulation of data processing mode is needed to reduce transaction costs in the future. The data processing mode needs to find a balance between security and rapidness. The data processing mode should imitate distributed data transfer protocol or decentralized recommendation system. From the perspective of asset exclusivity, data sharing should be classified for different users. The relationship between user privacy and data sharing should be properly balanced to prevent a “one-size-fits-all” data management model. This study applies property rights theory to address the issue of data portability, focuses on the economic benefits brought by data portability, and expands the perspective of the data portability’s nature. Based on relational transactions in China, this study enriches the research of personal data protection in developing countries. In addition, the results provide a theoretical basis for government management, help define the boundary of digital assets, promote the digital transformation of cities, and facilitate sustainable economic development.

Research on the Personal Data Portability Based on the Perspective of Property Rights Theory in the Context of Enterprise Digital Transformation

This study examines the right to data portability under the industrial economics theory, and addresses the problems of ambiguous boundaries, inconsistent formats, and data sharing. Based on the relational transactions in China, this study analyses the right to data portability from three aspects: transaction boundaries, transaction frequency, and exclusive nature. From the viewpoint of transaction uncertainty, it is necessary to clarify the content of transaction data and define the property rights boundary. From the view of transaction frequency, more detailed regulation of data processing mode is needed to reduce transaction costs in the future. The data processing mode needs to find a balance between security and rapidness. The data processing mode should imitate distributed data transfer protocol or decentralized recommendation system. From the perspective of asset exclusivity, data sharing should be classified for different users. The relationship between user privacy and data sharing should be properly balanced to prevent a "one-size-fits-all" data management model. This study applies property rights theory to address the issue of data portability, focuses on the economic benefits brought by data portability, and expands the perspective of the data portability’s nature. Based on relational transactions in China, this study enriches the research of personal data protection in developing countries. In addition, the results provide a theoretical basis for government management, help define the boundary of digital assets, promote the digital transformation of cities, and facilitate sustainable economic development.

Improved Phishing Attack Detection with Machine Learning: A Comprehensive Evaluation of Classifiers and Features

In phishing attack detection, machine learning-based approaches are more effective than simple blacklisting strategies, as they can adapt to new types of attacks and do not require manual updates. However, for these approaches, the choice of features and classifiers directly influences detection performance. Therefore, in this work, the contributions of various features and classifiers to detecting phishing attacks were thoroughly analyzed to find the best classifier and feature set in terms of different performance metrics including accuracy, precision, recall, F1-score, and classification time. For this purpose, a brand-new phishing dataset was prepared and made publicly available. Using an exhaustive strategy, every combination of the feature groups was fed into various classifiers to detect phishing websites. Two existing benchmark datasets were also used in addition to ours for further analysis. The experimental results revealed that the features based on the uniform resource locator (URL) and hypertext transfer protocol (HTTP), rather than all features, offered the best performance. Also, the decision tree classifier surpassed the others, achieving an F1-score of 0.99 and being one of the fastest classifiers overall.

Energy optimization for full-duplex wireless-powered IoT networks using rotary-wing UAV with multiple antennas

In this paper, we propose a novel design for the rotary-wing unmanned aerial vehicle (UAV)-enabled full-duplex (FD) wireless-powered Internet of Things (IoT) networks. In this network, the UAV is equipped with an antenna array, and the K IoT sensors, which are distributed randomly, use single-antenna to communicate. By sending the energy, the UAV as a hybrid access point, charges the sensors and collects information from them. Then, to manage the time and optimize the energy, the sensors are divided into N groups, so that the UAV equipped with multi-input multi-output (MIMO) technology can serve the sensors in a group, during the total time T. We provide a simple implementation of the wireless power transfer protocol in the sensors by using the time division multiple access (TDMA) scheme to receive information from the users. In other words, the sensors of each group receive energy from the UAV, when it hovers over the sensors of the previous group, and also when the UAV flies over the previous group to the current group. The sensors of each group send their information to the UAV, when the UAV is hovering over their group. Under these assumptions, we formulate two optimization problems: a sum throughput maximization problem, and a total time minimization problem. Numerical results show that our proposed optimal network provides better performance than the existing networks. In fact, our novel design can serve more sensors at the cost of using more antennas compared to that of the conventional networks.

Architectural Design of Representational State Transfer Application Programming Interface with Application-Level Base64-Encoding and Zlib Data Compression

Representational State Transfer (REST) is an architectural style that underlies the protocol of HyperText Transfer Protocol (HTTP)and is used by web applications. The implementation of REST principles in web services is often known as RESTful API. The standard communication used in RESTful APIs uses HTTP without involving data compression. There are quite a lot of RESTful API clients in the form of mobile applications that use metered networks. Thus, reducing the required bandwidth during transmission is suggested to be beneficial. The data compression technique is widely known to reduce data size, but this additional step may yield side effects such as increased memory usage and processing time. This study aims to investigate how the data compression process, which specifically uses Zlib and Base64 encoding, may put additional load on the whole process of delivering content to a RESTful API. The performance and characteristics in terms of bandwidth saved when distributing JSON data from a RESTful API in compressed format are also be investigated. According to the experiment result, it is suggested that the compression process can reduce network bandwidth by up to 66% with negligible additional memory usage for the compression and decompression processes.

A K-Anonymous Location Privacy-Preserving Scheme for Mobile Terminals

Mobile terminals boost the prosperity of location-based service (LBS) which have already involved in every aspect of People's daily life and are increasingly used in various industries. Aimed at solving the security and efficiency problem in the existing location privacy protection schemes, a K-anonymity location privacy preservation scheme based on mobile terminal is proposed. Firstly, number of rational dummy locations is selected from the cloaking region, from which more favorable locations are further filtered according to location entropy, so a better anonymity effect can be achieved. Secondly, the secure and efficient m-out-of-n oblivious transfer protocol is adopted, which not only avoids the dependency on the trusted anonymity center in existing schemes to improve the efficiency, but also meets the requirements for querying multiple interest points at one time. Security analyses demonstrate that this scheme satisfies such security properties as anonymity, non-forgeability and resistance to replay attack, and simulation results show that this scheme has higher execution efficiency and privacy level, while is low in communications costs.

Modeling of the quantum entangled state transfer protocol in the cell microtubules

In the work based on the quantum gates representation, the modeling of the quantum entangled state transfer protocol in the cell microtubules is carried out. It has been proved that considered data transmission can be determined as a mechanism that ensures the transfer of information through a quantum channel in microtubule tryptophans chain. The influence of external factors on the formation of entangled states is investigated. It is shown that the influence of the external environment has an ambiguous character and can constructively influence the formation and dynamics of entangled states. The research conducted in the work allowed to conclude that the processes of qubits transmission in microtubules in the special case could be defined as an analogue of the superdense coding protocol for similar biosystems.

WEB DESIGN AND WEB PROGRAMMING IN THE MODERN INTERNET WORLD

Modern web content development capabilities are undergoing characteristic changes due to the improvement of web technologies in programming. The origin of web technologies began in the early 80s of the last century when the Hypertext Transfer Protocol (HTTP) and the Hypertext Markup Language (HTML) made a significant contribution to the development of Internet capabilities. The web evolution, characterised by scientific and technological progress in information technology, has opened up new opportunities for the development of web programming, which has led to the emergence of programming languages, frameworks, cascading style sheets, and hypertext markup languages. This research aims to study and analyse the key aspects of web programming and web design with a combination of modern features of the Internet environment. To analyse web design, the article considers the possibilities of using the Bootstrap framework, which combines and contains the HTML5 hypertext markup language, CSS3 cascading style sheets, and the JavaScript programming language. Having analysed two web development technologies—front-end and back-end—we can conclude that the presentation level (front-end development) corresponds to the client side, with which the client can interact and where dynamic elements can be added to an HTML page using JavaScript with the visual definition of a web page using CSS. In the case of back-end development, the application layer corresponds to the server side, with which the client cannot interact, as the shell is hidden. Using the modern capabilities of the programming language, its code, and a set of auxiliary tools in website development, the paper presents a development algorithm where each stage contains separate processes and operations during website development, which makes it impossible for them to exist independently. Thus, tools for designing and laying out websites using modern technologies can greatly simplify the development process, which can create higher-quality web content. Keywords: Web, web environment, web technologies, front-end, framework, Bootstrap, CSS3, HTML5, CCS3, JavaScript.

#390 : Why Our Clinical Pregnancy Rates Have Improved Over the Past Two Years: Exploring Key Points of Gonadotropin-Releasing Hormone Antagonist Protocol in Fresh Embryo Transfer Cycles

Background and Aims: GnRH-ant protocol is effective in preventing a surge of pituitary luteinising hormone during controlled ovarian stimulation. In recent years, GnRH-ant protocol has been optimised to improve in vitro fertilisation outcomes. However, firstly, the success rate of frozen embryo transfer is consistently better than that of fresh embryo transfer and secondly, the success rate of GnRH-ant protocol on fresh embryo transfer is lower than that of the long protocol. This study aims to draw out a comparison of before and after data from our own centre to find the reasons for the gradual maturation of GnRH-ant protocol on fresh embryo transfer. Our study proposed to investigate the determinants affecting fresh embryo transfer in gonadotropin-releasing hormone antagonist (GnRH-ant) protocols. Method: We reviewed 2464 fresh embryo transfer cycles for IVF/ICSI-ET assisted reproduction techniques performed at our centre from 1 January 2015 to 31 December 2019. The exclusion criteria were as follows: endometriosis grade III to IV (American Fertility Society classification of endometriosis); adenomyosis; severe male oligospermia or obstructive azoospermia. Firstly, we compared the single-cycle clinical pregnancy rates between 2015 to 2017 and 2018 to 2019. Next, we performed a multifactorial regression analysis to understand what changes our centre had made between the five years in terms of years. Finally, data from 2015 to 2019 were grouped as a whole and then subjected to understand exactly where the differences in clinical pregnancy rates were affecting the GnRH-ant protocol for fresh embryo transfer. Results: A total of 1,388 cycles were included from 2015 to 2017, with a clinical pregnancy rate of 51.42% (688/1388). 1,076 cycles were included from 2018 to 2019, with a clinical pregnancy rate of 57.43% (618/1076). 2018 to 2019 compared to 2015 to 2017 for first-time IVF/ICSI. There was a 6.01% increase in clinical pregnancy rate for women who had assisted conception and performed GnRH-ant protocol with fresh embryo transfer. The results of the univariate analysis conducted suggested that the factors influencing the classification of clinical pregnancy included female basal E2 base, LH base, FSH base, P base, female Gn initiation date E2 start, LH start, FSH start, P start, Gn initiation volume and number of Gn days, antagonist addition date E2 add, LH add, FSH add, P add, plate machine day E2 trigger, LH trigger, P trigger, plate machine day number of different follicles in the meridian follicles 10-14 mm, follicles 14-16 mm, follicles 16-18 mm, follicles 18mm or more. Multifactorial regression analysis after correction suggested that age, BMI, endometrial thickness on the day of transfer, number of embryos transferred and progesterone level on HCG Day were independent influencing factors for successful pregnancy with antagonist regimen and fresh embryo transfer. Conclusion: Age, BMI, endometrial thickness on the day of transfer, number of embryos transferred and progesterone levels on HCG Day were independent influences.

Genomic Data Analysis with Variant of Secure Multi-Party Computation Technique

The increasing availability of genomic data for research purposes necessitates innovative approaches to ensure privacy while facilitating collaborative analysis. This study explores the integration of a variant of Secure Multi-Party Computation (SMPC) techniques into genomic data analysis. The conventional challenges of sharing sensitive genetic information among multiple entities, such as research institutions or healthcare providers, are addressed by leveraging advanced cryptographic protocols. The research focuses on the development and implementation of a secure framework for collaborative genomic data analysis using an adapted SMPC variant. This variant is designed to efficiently handle the complexities of genetic data while ensuring robust privacy preservation. By encrypting individual genomic inputs and enabling computations without revealing the raw data, the proposed SMPC variant facilitates joint analyses, contributing to advancements in personalized medicine, disease research, and genetic epidemiology. The variants of SMPC, namely oblivious transfer protocol, is used, this allows the receiver to obtain one out of several pieces of information forwarded by the sender without revealing which one they obtained. It can be integrated into SMPC protocols for enhancing the privacy with less effort and cost. The proposed mechanism involves the validation of the SMPC variant through simulations using real-world genomic datasets and assessing its performance in terms of computational efficiency and privacy preservation. Results from experiments demonstrate the feasibility and effectiveness of the proposed technique in enabling secure multi-party genomic data analysis. This research contributes to the evolving landscape of privacy-preserving techniques in genomics, offering a promising avenue for collaborative research without compromising the confidentiality of sensitive genetic information.

A novel deep-learning based approach to DNS over HTTPS network traffic detection

<div align="center"><span lang="EN-US">Domain name system (DNS) over hypertext transfer protocol secure (HTTPS) (DoH) is currently a new standard for secure communication between DNS servers and end-users. Secure sockets layer (SSL)/transport layer security (TLS) encryption should guarantee the user a high level of privacy regarding the impossibility of data content decryption and protocol identification. Our team created a <a name="_Hlk143263730"></a>DoH data set from captured real network traffic and proposed novel deep-learning-based detection models allowing encrypted DoH traffic identification. Our detection models were trained on the network traffic from the Czech top-level domain maintainer, Czech network interchange center (CZ.NIC), and successfully applied to the identification of the DoH traffic from Cloudflare. The reached detection model accuracy was near 95%, and it is clear that the encryption does not prohibit the DoH protocol identification.</span></div>

Artificial Intelligence Web Application Firewall for advanced detection of web injection attacks

AbstractCurrently, web services‐based applications have an important presence in public and private organizations. The vulnerabilities that these types of applications may have pose an inherent potential risk to the business model of these organizations. These applications have the inherent risk of being used by organizations in such a way that their activity is affected and they become the main entry point for attackers who want to breach their security. The main barrier to this type of attack are web application firewalls (WAF), which are responsible for processing Hypertext Transfer Protocol requests between clients and web servers, classifying them and rejecting malicious requests. This type of (WAF) applications, for the most part, have regular expressions that correspond to general rules and allow detecting malicious requests that follow a pattern contained in them. However, due to the knowledge of these rules by attackers, it is easy to circumvent security and to impersonate a malicious request by an innocuous request. Therefore, in this article, we present a study of different models based on artificial intelligence techniques as Naïve Bayes, k‐nearest neighbors, support vector machines, and linear regression to test their effectiveness in detecting malicious requests from a synthetic dataset containing more than 100,000 requests. The results obtained show that the implementation of these methods optimize the detection of malicious requests obtaining results between 92% and 99% of success in their classification.

Enhancing QoS of Telecom Networks through Server Load Management in Software-Defined Networking (SDN)

In the modern era, with the emergence of the Internet of Things (IoT), big data applications, cloud computing, and the ever-increasing demand for high-speed internet with the aid of upgraded telecom network resources, users now require virtualization of the network for smart handling of modern-day challenges to obtain better services (in terms of security, reliability, scalability, etc.). These requirements can be fulfilled by using software-defined networking (SDN). This research article emphasizes one of the major aspects of the practical implementation of SDN to enhance the QoS of a virtual network through the load management of network servers. In an SDN-based network, several servers are available to fulfill users’ hypertext transfer protocol (HTTP) requests to ensure dynamic routing under the influence of the SDN controller. However, if the number of requests is directed to a specific server, the controller is bound to follow the user-programmed instructions, and the load on that server is increased, which results in (a) an increase in end-to-end user delay, (b) a decrease in the data transfer rate, and (c) a decrease in the available bandwidth of the targeted server. All of the above-mentioned factors will result in the degradation of network QoS. With the implementation of the proposed algorithm, dynamic active sensing server load management (DASLM), on the SDN controller, the load on the server is shared based on QoS control parameters (throughput, response time, round trip time, etc.). The overall delay is reduced, and the bandwidth utilization along with throughput is also increased.

Impact of Gonadotropin-Releasing Hormone agonist and hormone replacement therapy on pregnancy outcomes in single euploid frozen-thawed embryo transfer for patients with endometrial polyps

Objective: While consensus on the optimal endometrial preparation protocol for frozen-thawed embryo transfer (FET) is lacking, this is particularly true for patients with infertility and a history of endometrial polyps (EPs). In this study, we aimed to investigate whether a gonadotropin-releasing hormone agonist combined with hormone replacement therapy (GnRHa-HRT) could improve pregnancy outcomes in single euploid FET for patients with a history of EPs. Methods: In this retrospective cohort study, 395 women who underwent their first single euploid FET cycle were divided into groups according to endometrial preparation protocols as follows: natural cycle (NC) (n=220), hormone replacement therapy (HRT) (n=122), and GnRHa-HRT groups (n=53). Subsequently, the FET cycles in the three groups were subdivided according to maternal age. All patients underwent hysteroscopic polypectomy before FET, and their EPs were confirmed by pathology. Results: No statistically significant differences were observed in live birth rates among the three groups (58.64% vs. 58.20% vs. 56.60%, P=0.964). Furthermore, the rates of miscarriage, ectopic pregnancy, premature live birth, and pregnancy complications were comparable among the three groups (P >0.05). After adjusting for potential confounding factors, no significant differences in pregnancy outcomes were reported between the groups (adjusted odds ratios [OR] and 95% credible intervals [CI] for live birth rate, HRT vs. NC: 1.119, 0.660–1.896, P=0.677; GnRHa-HRT vs. NC: 1.165, 0.610–2.226, P=0.643). Additionally, the pregnancy outcomes of the FET cycle were not influenced by the endometrial preparation protocols in the subgroups when stratified by maternal age (P >0.05). Conclusion: GnRHa-HRT did not improve the pregnancy outcomes of the single euploid FET in patients with a history of EPs.