Transfer Protocol Research Articles

Interfacility Transfer for VA-ECMO in BB and CCB Overdoses: A Report of Two Cases

Introduction: Calcium channel blocker (CCB) and beta blocker (BB) overdoses are life-threatening conditions that can lead to vasoplegic and cardiogenic shock. Treatment involves a combination of vasopressors, calcium, glucagon, and/or high-dose insulin euglycemia therapy. The most severe overdoses may require venoarterial extracorporeal membrane oxygenation (VA-ECMO), which often results in interfacility transfers. This report describes two successful VA-ECMO transfers for refractory CCB/BB overdose. Case Reports: Case 1: A 56-year-old male developed severe hypotension after ingesting 40-45 tablets of 10 milligram (mg) amlodipine tablets. After initial treatment approaches were unsuccessful, an early interdisciplinary discussion facilitated timely cannulation at the initial facility and quick transfer for VA-ECMO initiation. The patient was discharged at his neurological baseline after 60 days. Case 2: A 19-year-old female presented to the emergency department after a polypharmacy ingestion including 60 tablets of 20 mg propranolol. An early interdisciplinary discussion between the medical intensive care unit, medical toxicology, and the ECMO team allowed for prompt transfer directly to the receiving hospital catheterization lab for VA-ECMO within three hours of the initial presentation. The patient was discharged to an inpatient psychiatric facility after nine days. Conclusion: Venoarterial extracorporeal membrane oxygenation for refractory shock due to CCB and BB overdoses can be a life-saving intervention. Interfacility transfer of poisoned patients for VA-ECMO is logistically challenging, which can delay the appropriate care for patients with an otherwise morbid prognosis. A streamlined interfacility transfer protocol with multidisciplinary collaboration can help optimize outcomes.

A framework for optimal agent deployment and opportunistic routing in flying Ad-Hoc networks for precision weather forecasting

Drone based precision weather prediction and forecasting is a prevailing area of research in recent times. Modern flying ad-hoc network (FANET) leverages advanced low latency communication protocol between small flying drones and base stations. In this work, a FANET framework for efficient and precision weather prediction and forecasting that leverages ultra low latency opportunistic message transfer protocol (MTP) is proposed. An, edge empowered intelligent computing quasi-stationary sink nodes are employed to develop the FANET ecosystem further. Flying sensor nodes and edge computing quasi-stationary sink nodes are deployed in the target area in order to achieve optimal sensor coverage minimizing the cost of data transmission power thus ensuring long endurance operation of drones. An ensemble model is deployed in edge level for localized weather prediction. Opportunistic routing strategies are utilized for converge casting. The experimental results show the maximum of 0.98 message delivery ratio and a minimum of 820 ms latency is achieved through opportunistic MTP. An accuracy of 96.5% is achieved in predicting the temperature and humidity data metric.

PRIVATE LINK TRANSFER HUB: A SECURE PROTOCOL FOR PRIVATE FILE TRANSFERS

This paper introduces a secure file and message transferring website, Private link transfer, designed to prioritize extreme privacy and user control. The platform enables users to send files through One- Time Temporary Links, which are both expirable and highly configurable. These links can be tailored with a range of limitations, including access duration, IP restrictions, password protection, authentication keys, custom encryption, and a defined number of allowable views. Such features ensure a high level of security and privacy, minimizing unauthorized access or prolonged data exposure. In addition to these privacy-focused controls, Private Link Transfer offers a seamless user experience by incorporating seven premium themes, catering to diverse user preferences. The underlying system leverages a peer-to-peer file transfer protocol, eliminating the need for third-party intermediaries such as servers or cloud storage providers. By utilizing cutting-edge web technologies, this protocol establishes a direct connection between devices, ensuring faster, more efficient, and secure file transfers. The methodology combines advanced encryption with stringent limitations, protecting sensitive data against unauthorized access and mitigating the risks of interception during transmission. This paper explores the development and implementation of the protocol, detailing its key features and advantages over traditional file transfer methods. The proposed system is particularly suited for scenarios requiring temporary data sharing with strict privacy controls. It addresses modern challenges in secure file transfer, offering an innovative solution that aligns with the growing demand for enhanced digital privacy and security. Keywords: Secure File Transfer, Temporary Expirable Links, Peer-to-Peer (P2P) Protocol, End-to-End Encryption, Data Privacy, Access Control, Custom Encryption.

INVESTIGATION OF THE MANET NETWORK PERFORMANCE CONCERNING DIFFERENT ROUTING PROTOCOLS

Mobile Ad-Hoc Network is a decentralized organization that operates without a foundation. Due to the Mobile Ad-Hoc Network's self-configurable and simple organizational component, many applications may be run. Because of this, various applications are available. If helpful guidelines are established, Mobile Ad-Hoc Network will become dependable. We shall research the organization's competent steering convention for hypertext transfer protocol traffic. We must reach this conclusion with accuracy since this will be the main focus of our inquiry. Latency and throughput were employed to achieve show research goals. For this work reenactment inquiry, your expectations must be based on the conventions it chose since they performed better on all four perspectives. After analyzing its needs, an organization may improve its operations by choosing better conventions. This may boost an organization's efficiency. This research examined AODV, DSR, and OLSR routing methods. This study used OPNET Modeler 14.5 to enhance ad-hoc network performance.

Perspectives on non-emergent neonatal intensive care unit to pediatric intensive care unit care transfers in the United States.

There is a substantial population of long-stay patients who non-emergently transfer directly from the neonatal intensive care unit (NICU) to the pediatric intensive care unit (PICU) without an interim discharge home. These infants are often medically complex and have higher mortality relative to NICU or PICU-only admissions. Given an absence of data surrounding practice patterns for non-emergent NICU to PICU transfers, we hypothesized that we would encounter a broad spectrum of current practices and a high proportion of dissatisfaction with current processes. To characterize non-emergent NICU to PICU transfer practices across the United States and query PICU providers' evaluations of their effectiveness. A cross-sectional survey was drafted, piloted, and sent to one physician representative from each of 115 PICUs across the United States based on membership in the PARK-PICU research consortium and membership in the Children's Hospital Association. The survey was administered via internet (REDCap). Analysis was performed using STATA, primarily consisting of descriptive statistics, though logistic regressions were run examining the relationship between specific transfer steps, hospital characteristics, and effectiveness of transfer. One PICU attending from each of 81 institutions in the United States completed the survey (overall 70% response rate). Over half (52%) indicated their hospital transfers patients without using set clinical criteria, and only 33% indicated that their hospital has a standardized protocol to facilitate non-emergent transfer. Fewer than half of respondents reported that their institution's non-emergent NICU to PICU transfer practices were effective for clinicians (47%) or patient families (38%). Respondents evaluated their centers' transfers as less effective when they lacked any transfer criteria (P = 0.027) or set transfer protocols (P = 0.007). Respondents overwhelmingly agreed that having set clinical criteria and standardized protocols for non-emergent transfer were important to the patient-family experience and patient safety. Most hospitals lacked any clinical criteria or protocols for non-emergent NICU to PICU transfers. More positive perceptions of transfer effectiveness were found among those with set criteria and/or transfer protocols.

Implementation and Analysis of EMQX broker for MQTT Protocol in the Internet of Things

A low-cost monitoring and data transfer system is needed that uses various protocols in the Internet of Things (IoT) technologies. Among the various available protocols for the transmission of messages such as hypertext transfer protocol (HTTP), constrained application protocol (CoAP), etc., message queuing telemetry transport (MQTT) is the most widely used protocol due to its lower power consumption. Further, broker selection is the foremost task in operating the MQTT-based algorithms used in the automation. Researchers have explored several brokers. After a rigorous analysis, the EMQX broker-based MQTT protocol is investigated to transfer the data between the clients efficiently. The implementation and performance analysis of the EMQX broker-based MQTT protocol is assessed in depth with respect to the published and subscribed rates of data packets. Furthermore, new metric sets i.e. average number of messages published and subscribed and messages received with actual QoS are represented and analyzed in combinations of different quality of services (QoSs) to publish and subscribe the data. The analysis shows the efficacy of the investigated protocol.

Establishing an interhospital ECMO-transport program during a pandemic: Key lessons learned.

The emergence of COVID-19 has amplified the importance of efficient patient transfer, leading to the idea of inter-hospital ECMO transport programs. However, there are limited studies on ECMO transfer protocols and experiences during COVID pandemic. This study aimed to evaluate the effectiveness our transport program and provide insights into establishing and maintaining ECMO programs. Over the period from April 2020 to December 2021, 76 patients with severe hypoxic COVID-19 ARDS were transferred to our center under a veno-venous ECMO support. The transfers were performed by the experienced transport ECMO-team, covering both intracity and intercity transports from various hospitals in Istanbul and the Marmara Region. Mean age was 44 (34-54) years. Time until ECMO initiation was 6 (3-11.2) days. The average transport distance was 36.6 ± 58.7 km. Average intracity and intercity transport distance were 17.5 ± 15.7 and 121 ± 96.6 km, respectively. ECMO wean rate was 40.7% and survival to discharge (home) was 38.1%. No major adverse events occurred during the transfer process. In one transport, the oxygen tank was instantly replenished on the road due to the decrease in the oxygen level in the tank. In conclusion, this study contributed to the knowledge surrounding ECMO transport programs during pandemics, emphasized the importance of expert coordination and careful patient management with demonstrating feasibility of mobile ECMO program .

A Comprehensive IoT Cloud-based Wind Station Ready for Real-time Measurements and Artificial Intelligence Integration

Accurate and efficient wind measurement and monitoring are crucial for various applications, including renewable energy, meteorology, public safety, and environmental research. This paper presents an integrated approach for a cloud-computing Internet of Things-based Automated Weather Station, with edge devices, designed to provide real-time wind measurements in diverse environments. The presented system comprises a dedicated station frame, a self-sufficient solar power setup, an ultrasonic wind sensor, a data transmission node, cloud computing capabilities, and an end-user visualization application. Calibration procedures reduced the maximum mean error of the ultrasonic wind sensors from 0.7 m/s to 0.2 m/s, achieving a 71% improvement in measurement accuracy. Using this method, all station data are processed every 3 seconds and stored ready for Artificial Intelligence usage with an approximate latency of 150–300 milliseconds, representing up to an 85% reduction in processing delay compared to similar solutions with over 1-second latencies. The lightweight and resistant frame design facilitates easy deployment, while the power setup with sub-watt efficiency ensures a reliable energy source. The ultrasonic wind sensor was subjected to calibration procedures and design improvements to increase its performance under specific rain conditions. Internet of Things communication via Hypertext Transfer Protocol enables efficient data transmission between the Automated Weather Station and the cloud server, which processes and stores the data for future analysis. The responsive and auto-adaptive web application allows user-friendly data visualization, making the wind data easily accessible and interpretable. The proposed cloud-computing Internet of Things-based Automated Weather Station framework demonstrates significant potential for accurate and efficient wind measurement and monitoring, paving the way for future advancements in high temporal resolution wind monitoring systems capable of producing big data prepared for subsequent machine learning model approaches.

Does Endometrial Thickness or Compaction Impact the Success of Frozen Embryo Transfer? A Cohort Study Analysis.

Background: In frozen embryo transfer (FET) cycles, optimal endometrial thickness on ovulation day is typically 7-8 mm before progesterone administration. Recent studies have highlighted the significant inverse correlation between ongoing pregnancy rates and changes in endometrial thickness during the secretory phase after progesterone exposure, particularly by the day of embryo transfer (ET). This study aims to investigate how changes in endometrial thickness from the end of the proliferative phase to ET impact FET outcomes. Methods: We conducted a prospective observational cohort study involving 247 FET cycles, divided into hormonally based (102) and ovulatory-based (145) groups. Patients were monitored through transvaginal ultrasound (TVS) and blood tests. On ET day, we assessed endometrial thickness and changes compared to the last day of the proliferative phase, defining endometrial compaction as a decrease in thickness. We analyzed data to identify factors predicting cycle outcomes. Results: The study reported chemical and clinical pregnancy rates of 47.4% and 38.1%, respectively. Endometrial compaction was observed in 37.2% (92/247) of cycles, with corresponding rates of 48.9%, 32.6%, and 29.5% for chemical, clinical, and ongoing pregnancies, compared to 46.4%, 41.3%, and 28.9% in cycles without compaction. These differences were not statistically significant, and patterns of endometrial thickness change were similar across different FET protocols and progesterone exposure durations. Conclusions: The main factors influencing cycle outcomes were maternal age, embryo transfer protocol, and endometrial thickness on ET day, with endometrial compaction showing no correlation with improved outcomes.

Intravenous Ketamine to Facilitate Transport of Agitated Patients to the ECT Clinic.

Electroconvulsive therapy (ECT) can be effective for a variety of psychiatric conditions, including for some patients who are very psychotic or agitated. Transferring such patients from the psychiatric ward to the ECT clinic can pose significant challenges for treating teams, as they try to minimize the use of restraint. We developed a protocol for safe transfer of such patients using sedation with ketamine. An intravenous cannula is inserted on the ward in a low stimulus environment with gentle supportive holds. Intravenous ketamine is given in a bolus at 0.5-2.0 mg/kg. The patient is transported on a transfer bed to the ECT clinic within a few minutes, and usual ECT process is immediately followed. We describe 6 patients who were given between 1 and 11 ECT treatments using this method. All of them finished ECT courses without the need for ketamine sedation. Five of them regained capacity, provided informed consent for further ECTs, and eventually reached remission. Ketamine can be used to manage risk and transfer agitated patients to an ECT clinic for treatment.

A multi-target regression-based method for multiple orders remaining completion time prediction in discrete manufacturing workshops

Accurate prediction of multiple orders remaining completion time (MORCT) is crucial in the make-to-order production model. It enables managers to keep track of production status, make timely decisions, and ensure on-time delivery of orders. However, dynamic production environments, characterized by constantly changing order quantities and relationships, as well as the special temporal features of the production process, pose challenges to existing prediction methods. To address these issues, this paper proposes a novel framework based on multi-target regression. First, production data are collected and standardized from various sources using multiple data transfer protocols. The input dataset is then constructed and dynamically adjusted to accommodate changes in order quantities and priorities. Finally, a prediction model named DMTR-LSA is developed to effectively handle the specific temporal relationships in the production data by integrating long short-term memory (LSTM) and self-attention mechanisms. A case study in a real production workshop demonstrates that the proposed method supports simultaneous prediction of multiple orders. It outperforms existing methods on several evaluation metrics, reducing the average prediction error by more than 8.9%. These results highlight the practical value of the proposed method for predicting MORCT in dynamic production environments and its potential impact to enhance the production decision-making process.

A tale of two transfers: characterizing polydimethylsiloxane viscoelastic stamping and heated poly bis-A carbonate transfer of hexagonal boron nitride

Two-dimensional (2D) materials have many applications ranging from heterostructure electronics to nanofluidics and quantum technology. In order to effectively utilize 2D materials towards these ends, they must be transferred and integrated into complex device geometries. In this report, we investigate two conventional methods for the transfer of 2D materials: viscoelastic stamping with polydimethylsiloxane (PDMS) and a heated transfer with poly bis-A carbonate (PC). We use both methods to transfer mechanically-exfoliated flakes of hexagonal boron nitride onto silicon nitride (SiNx) substrates and characterize the resulting transfers using atomic force microscopy (AFM), aberration-corrected scanning transmission electron microscopy (AC-STEM) and electron energy loss spectroscopy (EELS). We find that both transfer methods yield flakes with significant and comparable residue (within the limitations of our study on eight samples). Qualitative interpretation of EELS maps demonstrates that this residue is comprised of silicon, carbon and oxygen for both transfer methods. Quantitative analysis of AC-STEM images reveals that the area covered in residue is on average, slightly lower for PDMS transfers (31 % ± 1 %), compared to PC transfers (41 % ± 4 %). This work underscores the importance of improving existing transfer protocols towards applications where cleaner materials are critical, as well as the need for robust methods to clean 2D materials.

Robustness of quantum correlation in quantum energy teleportation

In this article, we explore a feedback-control protocol in different quantum field theories (QFTs) to study the quantum correlation in nonunitary evolution of quantum systems. Traditional studies on QFTs focus on quantum entanglement of pure states under the unitary evolution, however, we examine quantum correlation in mixed states using quantum energy teleportation (QET), which is an energy transfer protocol by utilizing ground state entanglement, and introduce quantum discord as a measure. QET involves a midcircuit measurement, which disrupts pure state entanglement. Despite this, our analysis demonstrates that quantum discord maintains the correlation throughout the QET process. We conducted numerical analyses with benchmark models including the Nambu-Jona-Lasinio (NJL) model, revealing that quantum discord consistently acts as an order parameter for phase transitions. The model is extended in a way that it has both the chiral chemical potential and the chemical potential, which are useful to study the phase structures mimicking the chiral imbalance between left- and right- quarks coupled to the chirality density operator. In all cases we studied, the quantum discord behaved as an order parameter of the phase transition. Published by the American Physical Society 2024

Design and Optimization of Higher Education Online English Teaching Utilizing Wireless Network Technology in the Context of 5G

The global demand for wireless communication networks is a result of the widespread use of wireless devices and the related surge of wireless service providers. Data transmission speed, coverage areas, cost-effectiveness, resource utilization, security, scalability, and adaptability are all elements expected to be improved in future 5G wireless networks. Since this rapid development of network communication technology affects the delivery of English education in tertiary contexts, English teachers in colleges and universities should make use of network resources—especially the communication tools embedded in the 5G network. File transfer protocol can utilize the advanced artificial bee colony optimization algorithm (AABCOA) to realize classification, and the system proposed in this article is simulated and tested in Matrix Laboratory (MATLAB). The research results indicate that students are unsatisfied with traditional methods of English pedagogy in higher education and are keen to explore the new learning possibilities provided by 5G integrated wireless network technology.

Macroscopic Monochalcogenide van der Waals Ferroics: Growth, Domain Structures, and Curie Temperature.

Two-dimensional and layered van der Waals materials promise to overcome the limitations of conventional ferroelectrics in terms of miniaturization and material integration, but synthesis has produced only small (up to few micrometer-sized) ferroic crystals. Here, we report the realization of in-plane ferroelectric few-layer crystals of the monochalcogenides tin(II) sulfide and selenide (SnS, SnSe) whose linear dimensions exceed the current state of the art by up to 1 order of magnitude. Such large crystals allow the investigation of ferroic domain patterns that are unaffected by edges and finite-size effects. Analysis of the abundant stripe domains by electron microscopy and nanobeam electron diffraction shows two distinct domain types: twin domains separated by positively charged walls with alternating head-to-head and tail-to-tail polarization as well as not previously observed purely rotational domains connected by neutral domain walls with head-to-tail dipoles. Access to large crystals allowed the determination of the Curie temperature of few-layer SnSe van der Waals ferroelectrics, and it enables the investigation of this class of ferroelectrics by widely available methods such as polarized optical microscopy. The combination with layer transfer protocols promises uniform materials for exploring fundamentals and for implementing devices for information processing and energy conversion.

The PRIDE database at 20 years: 2025 update.

The PRoteomics IDEntifications (PRIDE) database (https://www.ebi.ac.uk/pride/) is the world's leading mass spectrometry (MS)-based proteomics data repository and one of the founding members of the ProteomeXchange consortium. This manuscript summarizes the developments in PRIDE resources and related tools for the last three years. The number of submitted datasets to PRIDE Archive (the archival component of PRIDE) has reached on average around 534 datasets per month. This has been possible thanks to continuous improvements in infrastructure such as a new file transfer protocol for very large datasets (Globus), a new data resubmission pipeline and an automatic dataset validation process. Additionally, we will highlight novel activities such as the availability of the PRIDE chatbot (based on the use of open-source Large Language Models), and our work to improve support for MS crosslinking datasets. Furthermore, we will describe how we have increased our efforts to reuse, reanalyze and disseminate high-quality proteomics data into added-value resources such as UniProt, Ensembl and Expression Atlas.

Abstract 189: An Expedited Transfer Protocol Improves Door In Door Out Times

Background Rapid reperfusion with mechanical thrombectomy for ischemic stroke secondary to large vessel occlusion leads to significant reduction in morbidity and mortality. DIDO time is an important metric for stroke centers without on‐site mechanical thrombectomy. Delays in treatment can occur when patients present at a Primary Stroke Center (PSC) then require transfer to the CSC for MT. Our system Comprehensive Stroke Center (CSC) receives patients from 2 of our systems PSC's. In order to expedite care an expedited transfer protocol was implemented.Purpose: The goal of this work is to decrease the time at the PSC, known as door‐in‐door‐out (DIDO) and decrease overall time from patient presentation to treatment with thrombectomy, known as door to groin time (DTG).Methods: Patients are screened at triage by a PSC emergency department provider for the following: aphasia, gaze preference, or neglect with unilateral weakness within 24 hours of last known normal. If these criteria are present, the emergency department provider contacts the CSC transfer center to initiate the expedited transfer process, which begins moving transfer resources to the PSC while clinical work‐up continues. This expedited early transfer process was implemented in January 2021. Transfers for MT during the 12‐month period before and after the implementation of the expedited transfer process were analyzed.Results: Mean DIDO was lower when expedited protocol was utilized (99 min vs. 137 min respectively, (p=.017)). Mean DTG was unchanged (27 min vs. 37 min respectively, (p = 0.067)).Conclusions: Use of the expedited transfer process allows transfer resources to begin moving to the patient with a suspected LVO in parallel with ongoing evaluation, resulting in faster DIDO and times leading to faster treatment aimed at reducing stroke morbidity and mortality.

Securing DNS over HTTPS traffic: a real-time analysis tool

DNS over HTTPS (DoH) is a developing protocol that uses encryption to secure domain name system (DNS) queries within hypertext transfer protocol secure (HTTPS) connections, thereby improving privacy and security while browsing the web. This study involved the development of a live tool that captures and analyzes DoH traffic in order to classify it as either benign or malicious. We employed machine learning (ML) algorithms such as K-Nearest Neighbors (K-NN), random forest (RF), decision tree (DT), deep neural network (DNN), and support vector machine (SVM) to categorize the data. All of the algorithms, namely KNN, RF, and DT, achieved exceptional performance, with F1 scores of 1.0 or above for both precision and recall. The SVM and DNN both achieved exceptionally high scores, with only slight differences in accuracy. This tool employs a voting mechanism to arrive at a definitive classification decision. By integrating with the Mallory tool, it becomes possible to locally resolve DNS, which in turn allows for more accurate simulation of DoH queries. The evaluation results clearly indicate outstanding performance, confirming the tool's effectiveness in analyzing DoH traffic for network security and threat detection purposes.

Architecting Resilience : A Framework for Secure and Compliant Healthcare IT Infrastructures

Healthcare information technology (IT) systems face unique challenges in maintaining data security and regulatory compliance while supporting critical patient care functions. This article provides a comprehensive analysis of the complex interplay between data protection measures and compliance requirements in the healthcare sector. We examine key components of data security, including encryption, data integrity measures, and secure transfer protocols, with a specific focus on their application to sensitive patient information. The impact of regulations such as HIPAA on system design and maintenance is explored, offering insights into the alignment of IT practices with evolving standards. Through a review of current literature and industry best practices, we present strategies for risk management, employee training, and the implementation of technical controls that address both security and compliance needs. Emerging trends, including cloud computing, the Internet of Medical Things (IoMT), and artificial intelligence in healthcare security, are discussed to provide a forward-looking perspective. This article contributes to the ongoing dialogue on balancing innovation with security in healthcare IT, offering practical recommendations for healthcare organizations to enhance their data protection measures while ensuring regulatory compliance.

IPv6NC Network Coding Protocol Based on IPv6 Extension Headers

Subject of the research. The paper presents a new IPv6NC network coding protocol based on the use of IPv6 network protocol extension headers. Purpose. Development of a data transfer protocol based on the analysis of existing principles and models of network coding, as well as the use of IPv6 protocol extension headers to transfer network coding parameters. Methods. Analysis of existing principles and models of network coding, as well as the use of IPv6 extension headers for transmitting network coding parameters. Results. The paper describes application of developed protocol for different network coding approaches and presents network coding parameters to be transmitted in packet headers to perform network coding and guideline of their representation in the type-length-value format for standard IPv6 extension headers. Also the paper gives the structure of a special extension header for transmitting network coding parameters. Novelty. For the first time, IPv6 uses extension headers for networc coding. Practical relevance. The developed protocol is intended for the implementation of multicast transmission and relay with network coding in various data transmission systems.