Quick Time Research Articles

Synthesis and functionalization of mucoadhesive mesoporous silica particles containing diphenhydramine for treatment of aphthous ulcers.

Medications used to treat oral ulcers include corticosteroids, anesthetics, and antihistamines. These can be used as gels, mouthwashes, pastes, ointments, etc. Diphenhydramine hydrochloride (DPH) has local anesthetic properties that can help treat the aphthae. One of the drawbacks of the delivery to the transmucosal is the quick turnaround time of the gel, a mucous form that is located on the epithelial film surface. Therefore, it seems that the preparation of a carrier that has the characteristics of adhesive mucus can increase the duration of drug retention on the mucous surface. To solve this problem, mesoporous silica nanoparticles (MSNPs) were synthesized and functionalized with amino and thiol groups and suggested as a system of drug delivery. The properties and structure of MSNPs were investigated by dynamic light scattering (DLS), transmission electron microscopy (TEM), energy-dispersive X-ray spectroscopy (EDS), thermal gravimetric analysis (TGA), Fourier transform infrared spectroscopy (FTIR), and nitrogen adsorption-desorption isotherms (BET). Our outcomes indicated that the average sizes of bare MSNPs (MSN), amino modified MSNPs (MSN-NH2), and thiol modified MSNPs (MSN-SH) were obtained to be 611, 655, and 655 nm respectively and the average pore size of MSN, MSN-NH2, and MSN-SH were about 2.42 nm, 2.42 nm, and 2.44 nm, respectively, according to the BJH (Barrett-Joyner-Halenda) pore size distribution. The release kinetics and release of DPH from mesoporous silica carriers were evaluated. Eventually, the mucoadhesive study and DPH-loaded particles were investigated. Also, the MSN-SH exhibited a high mucoadhesive capacity for buccal mucosa compared with MSN-NH2 and MSN.

Nanocrystalline β-Ga2O3 thin film prepared by electron beam evaporation for enhanced photodetection

In this study, e-beam evaporation technique was used to fabricate thin-film (TF) of β-Ga2O3 on Si-substrate. The average crystallite size was determined to be roughly ∼39.8 nm. The deposition of β-Ga2O3 TF appears smooth and devoid of cracks or pits, with an average film thickness of ∼375 nm. From the ultraviolet (UV)–Vis absorption, the optical bandgap value for β-Ga2O3 TF was found to be about ∼4.84 eV. Our study found that the photodetector (PD) had excellent performance, characterized by an extremely low dark current of 4.02 × 10−8 A at −1 V bias, an I L/I D ratio over nine times, and the short rise and fall times of .27 s and .059 s. The simultaneous achievement of minimal dark current and quick rise and fall times is remarkable. The β-Ga2O3 TF PD’s remarkable consistency and reproducibility suggest promising practical applications for UV PDs.

A low-coverage 3' RNA-seq to detect homeolog expression in polyploid wheat.

Although allopolyploid species are common among natural and crop species, it is not easy to distinguish duplicated genes, known as homeologs, during their genomic analysis. Yet, cost-efficient RNA sequencing (RNA-seq) is to be developed for large-scale transcriptomic studies such as time-series analysis and genome-wide association studies in allopolyploids. In this study, we employed a 3' RNA-seq utilizing 3' untranslated regions (UTRs) containing frequent mutations among homeologous genes, compared to coding sequence. Among the 3' RNA-seq protocols, we examined a low-cost method Lasy-Seq using an allohexaploid bread wheat, Triticum aestivum. HISAT2 showed the best performance for 3' RNA-seq with the least mapping errors and quick computational time. The number of detected homeologs was further improved by extending 1 kb of the 3' UTR annotation. Differentially expressed genes in response to mild cold treatment detected by the 3' RNA-seq were verified with high-coverage conventional RNA-seq, although the latter detected more differentially expressed genes. Finally, downsampling showed that even a 2 million sequencing depth can still detect more than half of expressed homeologs identifiable by the conventional 32 million reads. These data demonstrate that this low-cost 3' RNA-seq facilitates large-scale transcriptomic studies of allohexaploid wheat and indicate the potential application to other allopolyploid species.

Stereolithographic printing of epithelial and mucosal scaffold

Stereolithography (SLA) is a type of solid free-form fabrication (SFF) technique that can produce intricate products that conventional subtractive manufacturing processes cannot. This character of the method is mainly helpful in biomedical applications, where the requirements are high precision, quick production time, and versatility of material along with customization of patient-specific parts. The damage to any human body tissues can disturb its regular functioning. Scaffolds can assist in regenerating damaged tissues and cells like epithelial or mucosal cells. The work aims to design and print an epithelial and mucosal scaffold made of bio-compatible material to help the cells regenerate quickly. The scaffold is printed using a photo polymeric resin-based 3D printer. This work has undergone multiple iterations to determine the optimal parameters, including raft type, support density, touchpoint size, presence of internal supports, layer thickness, and curing time. Through these iterations, the study aimed to achieve the best possible outcomes regarding scaffold printing. Once printed, the scaffold is post-processed to meet the required structural strength by proper crosslinking and solidification. Although the resin, once solidified, cannot be melted and reused, it is environmentally less polluting due to its lesser specific energy demand than subtractive manufacturing. Also, the requirement of frequent tool changes, coolant supply, and disposal can be avoided entirely in stereolithography. The SLA process utilizing the Biomed amber resin offers high precision and versatility. It is recognized as an eco-friendly and biocompatible approach, making it a promising solution for biomedical applications. Post-printing analysis of the time of printing, volume of resin used, layer thickness, washing, and curing duration have been outlined in work. The scaffold is analyzed for static strength, and the results are compared to the skin.

Task-Dependent Velopharyngeal Timing in Singers with Classical Training

This study examined velopharyngeal (VP) timing characteristics during singing and speaking tasks among singers with varying degrees of classical training. Pressure-flow data were collected when eight soprano singers sang and spoke the phrase, "I will say hamper," at different pitch (C4 and C5) and loudness levels (soft, medium, and loud). VP aerodynamic variables (VP gap, peak nasal airflow [NF], and peak intraoral pressure [OP]) and timing variables (NF pulse duration, OP pulse duration, and total duration of the /mp/ sequence) were of particular interest. Results of linear mixed-effects models showed no significant main effect of task type (speaking vs. singing) on VP aerodynamic variables. Task type was found to have a statistically significant main effect on OP pulse duration (F(1, 77) =27.590, P<0.05) and total duration of the /mp/ sequence (F(1, 75.034) =17.895, P<0.05), with both durational measures significantly shorter for singing (OP pulse duration: 200ms, total duration of the /mp/ sequence: 212ms) than for speaking (OP pulse duration: 228ms, total duration of the /mp/ sequence: 238ms). The pitch had a significant main effect on OP pulse duration, with C5 (207ms) significantly shorter than C4 (221ms). Loudness was found to have no significant main effects on any of the VP timing variables. VP timing patterns significantly differed between the singing and the speaking task. Specifically, the singers employed a quick OP pulse rise time, which shortened OP pulse duration as well as the total duration of the /mp/ sequence during the singing task in comparison to the speaking task. Robust VP timing patterns observed during singing may reflect the singers' skilled control of the VP mechanism to achieve functional and esthetic goals.

Code Modernization Strategy and Tool for Rapid Modernization of Legacy Banking Applications

Modernizing banking applications can bring about numerous benefits, both for financial institutions and their customers. Modernizing banking applications will provide following benefits such as enhanced Customer Experience, increased efficiency and productivity, improved Security and Compliance, scalability and flexibility, cost reduction, agility and innovation and customer retention. Modernizing banking applications is essential for staying competitive, meeting customer expectations, and navigating the challenges of a rapidly evolving financial landscape. It enables financial institutions to provide efficient, secure, and innovative services while optimizing operational costs. Modernized applications can incorporate advanced security features such as biometric authentication, multi-factor authentication, and encryption to protect sensitive customer data. It helps to compliance with industry regulations is easier to achieve through modernization, reducing the risk of legal and financial penalties. It helps to automate the manual processes and the incorporation of advanced technologies streamline banking operations. It also helps organization to reduce manual intervention leads to faster transaction processing, minimizing errors and improving overall operational efficiency. Banking Legacy systems can be expensive to maintain and upgrade. Modernizing banking applications can lead to cost savings in terms of maintenance, support, and hardware requirements. Also modernized application can be hosted in cloud and organization can save more money and will be able to maintain high performing applications. The challenges associated with modernizing banking applications are having outdated technology with high maintenance cost. Also, legacy systems are often rigid and inflexible, making it challenging to introduce new features or respond quickly to market changes. Also, older systems may have security vulnerabilities that are difficult to patch or mitigate, exposing sensitive customer data to potential breaches. Legacy systems may struggle to comply with evolving regulatory requirements, exposing the institution to legal and financial risks. Addressing these challenges through a well-planned and efficient modernization strategy is essential for banks to remain competitive, secure, and responsive to the dynamic demands of the financial industry. Since I came from Technology Background and having 14 years of banking experience, I have provided a custom tool that is efficient and have modernized legacy application in quick time.

Detection of Uric Acid in UV-VIS wavelength Regime

Background: Current techniques for uric acid (UA) detection are time consuming and therefore, need to improve the detection methods like absorption.&#x0D; Objective: There was a need to establish a technique that has low integration time for detection of UA using absorption technology.&#x0D; Methods: we measured the concentrations of UA using the ultra violet visible (UV/Vis) spectrophotometer in the wavelength regime (190-1100 nm).&#x0D; Results and Conclusion: In this work, the proposed spectroscopic technique can detect each concentration and interpret into an absorption value in a constant UV/Vis regime. This technique acquires the data in ~ 3 seconds (a quick integration time). Our phantom showed a close value as reported in the text.

Synthesis of a new Cd (II) complex as ionophores and its application in construction of a highly selective and sensitive cadmium (II) sensor in petroleum water samples

The measurement of Cd (II) ions in various matrices requires the development of sensors that are selective, sensitive, and simple to produce. The cadmium complex of a ligand prepared by the reaction of 2‐pyridinecarbohydrazide with sodium 3‐formyl‐4‐hydroxybenzenesulfonate, [Cd (NaPH)(H2O)].H2O, was synthesized, analyzed by elemental analysis, and structurally elucidated using various spectroscopic techniques. The infrared spectrum of Cd (II) complex suggests a bi‐negative tri‐dentate ONO behavior for the ligand via deprotonated form of both the enolic oxygen atom (C‐O−) and the hydroxyl group of phenolic ring in addition to the azomethine group. The thermal behavior of this complex was revealed using TGA analysis. Applying Coast–Redfern and Horowitz–Metzger equations, we were able to calculate the kinetic and thermodynamic parameters to support the proposed fragmentation experiment for the Cd (II) complex. Cyclic voltammetry measurement was measured to estimate the electrochemical behavior of the Cd (II) ions as well as the impact of adding various NaH2PH ligand concentrations. The biological applications of [Cd (NaPH)(H2O)].H2O complex were assessed as antioxidant, anticancer, and antimicrobial. Based on the Cd (II) complex, we were able to modify Cd (II) ions carbon paste electrode (modified carbon paste electrode, MCPE) as a Cd (II) selective modifier. The created electrode displays a Nernstian slope in the linear range of 0.0001 to 10 mmol/L of 29.16 ± 0.03 mV decade−1, a quick reaction time of 6 s, and pH independence from 3–7. The suggested MCPE demonstrated strong selectivity to Cd (II) ions relative to many other cations and displayed negligible change in the slope or operating range if the experiment was achieved in a partially non‐aqueous solution. This fabricated MCPE was used to determine Cd (II) ions in diverse water samples.

ZrFe2O4@SiO2–N–(TMSP)–ASP–Pd(0)] Complex: Synthesis, characterizations, and its application as a nanomagnetic catalyst in cross-coupling and click reactions

The research project focuses on developing a novel nanomagnetic l-Aspartic acid Chelan-Pd complex via a simple method. In this regard, l-Aspartic acid reacts with (3-Chloropropyl)trimethoxysilane (CPTMS) – which is grafted on silica-modified zirconium ferrite nanoparticles and then coordinated with palladium to produce the corresponding heterogenized Pd-complex. The catalyst was characterized using FT-IR, TGA-DSC, EDX, ICP-OES, Elemental Mapping, SEM, TEM, and VSM methods. Moreover, the catalyst was used to improve the efficiency of the Suzuki reaction and click reactions. The catalytic result shows that [ZrFe2O4@SiO2–N–(TMSP)–ASP–Pd(0)] complex possesses high catalytic activity in both of the above-mentioned organic transformations in green solvents and excellently shows the effect of electron-withdrawing and electron-donating substituents on aromatic rings with good selectivity. Under the tested reaction conditions, the expected biphenyls of 5-aryl 1H-tetrazoles were obtained in moderate to high yields. Notably, the catalyst can be magnetically recycled and reused for five consecutive cycles without a significant decrease in activity. Gentle catalytic conditions, quick reaction times, applicability for a variety of substrates, low cost, and the avoidance of potentially dangerous chemicals and solvents during synthesis and catalytic application are some of the superior properties of the [ZrFe2O4@SiO2–N–(TMSP)–ASP–Pd(0)] complex.

Increasing SARS-CoV-2 testing capacity through specimen pooling: An acute care center experience.

Innovation in laboratory testing algorithms to address seemingly uncontrollable global supply chain shortages in plastics and other consumables during emergencies such as the current COVID-19 pandemic have been urgently needed. We report our experience with specimen pooling on SARS-CoV-2 testing in an acute care hospital microbiology laboratory during a high testing demand period that exceeded available processing capacity. A fully automated four-in-one pooling algorithm was designed and validated. Correlation and agreement were calculated. A custom Microsoft Excel tool was designed for use by the technologists to aid interpretation, verification and result entry. Cost-per-test impact for pooling was measured in reference to the consumable cost and was denoted as the percentage reduction of cost versus the baseline cost-per-test of testing specimens individually. Validation showed a strong correlation between the signals observed when testing specimens individually versus those that were pooled. Average crossing point difference was 1.352 cycles (95% confidence interval of -0.235 and 2.940). Overall agreement observed between individually and pooled tested specimens was 96.8%. Stratified agreement showed an expected decreased performance of pooling for weakly positive specimens dropping below 60% after a crossing point of 35. Post-implementation data showed the consumable cost-savings achieved through this algorithm was 85.5% after 8 months, creating both testing and resource capacity. Pooling is an effective method to be used for SARS-CoV-2 testing during the current pandemic to address resource shortages and provide quick turnaround times for high test volumes without compromising performance.

Rapid and Technically Simple Detection of SARS-CoV-2 Variants Using CRISPR Cas12 and Cas13.

The worldwide proliferation of the SARS-CoV-2 virus in the past 3 years has allowed the virus to accumulate numerous mutations. Dangerous lineages have emerged one after another, each leading to a new wave of the pandemic. In this study, we have developed the THRASOS pipeline to rapidly discover lineage-specific mutation signatures and thus advise the development of Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)-based diagnostic tests. We also optimized a strategy to modify loop-mediated isothermal amplification amplicons for downstream use with Cas12 and Cas13 for future multiplexing. The close ancestry of the BA.1 and BA.2 variants of SARS-CoV-2 (Omicron) made these excellent candidates for the development of a first test using this workflow. With a quick turnaround time and low requirements for laboratory equipment, the test we have created is ideally suited for settings such as mobile clinics lacking equipment such as Next-Generation Sequencers or Sanger Sequencers and the personnel to run these devices.

PENYELESAIAN SENGKETA PASAR MODAL MELALUI NEGOSIASI

The role of the capital market for development is very important. But on the other hand, potential legal problems are inevitable. Disputes become potential cases of lawlessness in the capital market. Therefore, the focus of this study is to examine the settlement of capital market disputes through negotiations. This research uses the library research method with a content analysis approach. Data collection is obtained from books and journals. Data analysis is carried out through the stages of data reduction, data presentation, and data verification. The results of this study show that negotiation is an alternative to resolving dispute cases carried out by parties to disputes by discussing settlements without the involvement of third parties. The advantages of capital market dispute resolution are that it is not costly, is informal, prevents hostilities, and has a quick resolution time.

Assessment of return to sport and functional outcomes following distal femoral, double level and high tibial osteotomies for active patients with symptomatic varus malalignment.

This study indicated the outcomes of three surgical techniques for the treatment of symptomatic unicompartmental knee osteoarthritis (UKOA) with varus malalignment in younger, active patients: distal femoral osteotomy (DFO), double-level osteotomy (DLO) and high tibial osteotomy (HTO). The outcomes measured included the return to sport, sport activity and functional scores. A total of 103 patients (19 DFO, 43 DLO, 41 HTO) were enrolled in the study and were divided into three groups based on their oriented deformity, each undergoing one of the three surgical techniques. All patients underwent pre- and post-operative evaluations including X-rays, physical exams and functional assessments. All three surgical techniques were effective in treating UKOA with constitutional malalignment. The average time to return to sport was similar among the three groups (DFO: 6.4 ± 0.3 [5.8-7] months, DLO: 4.9 ± 0.2 [4.5-5.3] months, HTO: 5.6 ± 0.2 [5.2-6] months). The sport activity and functional scores improved significantly for all three groups, with no significant differences observed among the groups. Various knee osteotomy procedures, DFO, DLO, and HTO, result in high RTS rates and quick RTS times with satisfactory functional scores. Despite pre- to post-operative improvements in sport activities following DFO and DLO, pre-symptom levels were not reached following all evaluated procedures. Retrospective case-control study, Level III.

GREATCUBE+: conceptual design tool for CubeSat’s design

CubeSats are a type of spacecraft which have become popular since the early 2000. They are known for their quick development time and low cost, when comparing them to larger satellites. However, there is a significant drawback which has been recorded during these years of operations, namely an high failure rate which turns almost half of them into space debris. The reasons behind these malfunctions are often attributed to flawed spacecraft design choices or failures of commercial off-the-shelf (COTS) products. To improve the design of CubeSats, several software tools for performing the conceptual design have been proposed. These tools are often limited in their capabilities and are not suitable for all types of CubeSat missions. To address this issue, the University of Applied Sciences Wiener Neustadt (FHWN) in cooperation with Technische Universität Dresden is developing a software tool called GREATCUBE+. Its goal is to increase the success rate of CubeSats by providing a satellite model which is composed of commercial-off-the-shelf (COTS) products backed up by empirical heritage, analytical proof, and numerical analysis. One of the main features of this tool is the ability of dealing with different typologies of payloads. GREATCUBE+ has been validated with various successful CubeSat missions and it provides design solutions with an accuracy of above 90% when it comes to CubeSat weights and volumes. Using this software, CubeSat design teams can proceed from the conceptual development to the testing and assembly phases quicker, hoping to result in higher quality CubeSats and fewer failures.

Electrical parameters extraction of PV modules using artificial hummingbird optimizer

The parameter extraction of PV models is a nonlinear and multi-model optimization problem. However, it is essential to correctly estimate the parameters of the PV units due to their impact on the PV system efficiency in terms of power and current production. As a result, this study introduces a developed Artificial Hummingbird Technique (AHT) to generate the best values of the ungiven parameters of these PV units. The AHT mimics hummingbirds' unique flying abilities and foraging methods in the wild. The AHT is compared with numerous recent inspired techniques which are tuna swarm optimizer, African vulture’s optimizer, teaching learning studying-based optimizer and other recent optimization techniques. The statistical studies and experimental findings show that AHT outperforms other methods in extracting the parameters of various PV models of STM6-40/36, KC200GT and PWP 201 polycrystalline. The AHT’s performance is evaluated using the datasheet provided by the manufacturer. To highlight the AHT dominance, its performance is compared to those of other competing techniques. The simulation outcomes demonstrate that the AHT algorithm features a quick processing time and steadily convergence in consort with keeping an elevated level of accuracy in the offered solution.

PROOF OF ALGEBRAIC STRUCTURES (RINGS AND FIELDS) WITH JAVA PROGRAMMING

Many branches of algebraic structures, such as rings and fields, are difficult to comprehend and undesirable due to their abstract character. The testing of algebraic structures can be aided by a computer software application, which makes it simpler and more fun to learn algebraic structures. This program is expected to make algebraic structural proofing easier, faster, and more accurate than manual proof. Users and the software in the application are connected through the Cayley table. The Java programming is just used to demonstrate the algebraic structures of rings and fields. The application program's proof results for the subject showed correct results with a quick processing time when compared to manual processing.

On the use of narrow-band optical radiation with an average wavelength of 470 nm in comprehensive therapy of Covid-19 in a hospital setting

The purpose of the study is to substantiate the use of narrow-band optical radiation with an average wavelength of 470 nm (blue light) as a part of the comprehensive therapy of COVID-19. Materials and methods. 29 patients with COVID-19 were examined. All the patients were randomly divided into 2 clinically comparable groups: the main group (16 patients), in parallel with the drug therapy, received 10 sessions of narrow-band optical radiation with an average wavelength of 470 nm using the laser-LED therapeutic system «Spectrum-LC»; the control group (13 patients) received drug therapy in accordance with the scheme of the interim guidelines for the prevention, diagnosis, and treatment of the novel coronavirus infection COVID-19. The unified examination algorithm included the analysis of medical histories, anamnesis of the disease, concomitant somatic pathology, and allergic reactions. The following laboratory methods were used: complete blood count, biochemical blood test, coagulogram parameters (fibrinogen, D-dimer, Quick prothrombin time, activated partial thromboplastin time), polymerase chain reaction; the instrumental examination methods were as follows: pulse oximetry, electrocardiography, and multispiral computed tomography of the chest. After the comprehensive therapy with the blue light, the following results were noted: a significant decrease in the severity of the pathological process based on the results of computed tomography of the lungs — a decrease in the volume of lung tissue damage by 9 %, relief of intoxication, neurotic, and astheno-depressive syndromes on the 10th day of inpatient treatment, stabilization of the general condition on the 8th-10th day of inpatient therapy, reduction of hospitalization time to 13–14 days, positive changes of laboratory parameters: a significant decrease in the neutrophil parameter by 26.35 %, in the CRP parameter by 89.24 mg/l, in the fibrinogen parameter by 2.75 g/l, and in AST parameter by 61.27 units/l.

What is the current state of artificial intelligence applications in dentistry and orthodontics?

BackgroundThe use of Artificial Intelligence (AI) in the medical field has the potential to bring about significant improvements in patient care and outcomes. AI is being used in dentistry and more specifically in orthodontics through the development of diagnostic imaging tools, the development of treatment planning tools, and the development of robotic surgery. The aim of this study is to present the latest emerging AI softwares and applications in dental field to benefit from. Types of studies reviewedSearch strategies were conducted in three electronic databases, with no date limits in the following databases up to April 30, 2023: MEDLINE, PUBMED, and GOOGLE® SCHOLAR for articles related to AI in dentistry & orthodontics. No inclusion and exclusion criteria were used for the selection of the articles. Most of the articles included (n = 79) are reviews of the literature, retro/prospective studies, systematic reviews and meta-analyses, and observational studies. ResultsThe use of AI in dentistry and orthodontics is a rapidly growing area of research and development, with the potential to revolutionize the field and bring about significant improvements in patient care and outcomes; this can save clinicians’ chair-time and push for more individualized treatment plans. Results from the various studies reported in this review are suggestive that the accuracy of AI-based systems is quite promising and reliable. Practical implicationsAI application in the healthcare field has proven to be efficient and helpful for the dentist to be more precise in diagnosis and clinical decision-making. These systems can simplify the tasks and provide results in quick time which can save dentists time and help them perform their duties more efficiently. These systems can be of greater aid and can be used as auxiliary support for dentists with lesser experience.

Multi-Dimensional Resource Allocation in Distributed Data Centers Using Deep Reinforcement Learning

With the development of edge-cloud computing technologies, distributed data centers (DCs) have been extensively deployed across the global Internet. Since different users/applications have heterogeneous requirements on specific types of ICT resources in distributed DCs, how to optimize such heterogeneous resources under dynamic and even uncertain environments becomes a challenging issue. Traditional approaches are not able to provide effective solutions for multi-dimensional resource allocation that involves the balanced utilization across different resource types in distributed DC environments. This paper presents a reinforcement learning based approach for multi-dimensional resource allocation (termed as NESRL-MRM) that is able to achieve balanced utilization and availability of resources in dynamic environments. To train NESRL-MRM’s agent with sufficiently quick wall-clock time but without the loss of exploration diversity in the search space, a natural evolution strategy (NES) is employed to approximate the gradient of the reward function. To realistically evaluate the performance of NESRL-MRM, our simulation evaluations are based on real-world workload traces from Amazon EC2 and Google datacenters. Our results show that NESRL-MRM is able to achieve significant improvement over the existing approaches in balancing the utilization of multi-dimensional DC resources, which leads to substantially reduced blocking probability of future incoming workload demands.

Real-time whole-genome sequencing surveillance for outbreak detection and intervention

Background: Detecting healthcare-associated transmission and outbreaks often relies on reactive whole-genome sequencing (WGS), which occurs after the suspected transmission has occurred. Additionally, reactive WGS frequently misidentifies transmission and misses transmission when it has occurred. We initiated weekly real-time WGS to detect bacterial transmission and direct infection prevention interventions. We describe our experience after 1 year of real-time WGS surveillance at the University of Pittsburgh Medical Center–Presbyterian Hospital, a large, tertiary-care facility. Methods: Weekly WGS surveillance was performed from November 1, 2021, to October 31, 2022. Cultured isolates of select bacterial pathogens from patients who were hospitalized for ≥3 days or had a recent healthcare exposure in the prior 30 days were collected and sequenced. Isolates that were ≤15 single-nucleotide polymorphisms (SNPs) were considered genetically related clusters except for Clostridioides difficile (≤2 SNPs). Genetically related clusters were investigated for epidemiological links and interventions to interrupt transmission were implemented at the discretion of the infection prevention team. We analyzed subsequent infections that occurred within an outbreak after an intervention was in place. Results: In total, 1,909 isolates were sequenced. Of 1,633 unique patient isolates clustered by sequence type, 74 clusters were identified comprising 210 (12.9%) patient isolates (Table 1). The median time from culture date to sequencing was 14 days (IQR, 5.25). The median cluster size was 2 (IQR, 1) (Table 2). Overall, 118 patient isolates (56.2%) had an epidemiological link to a prior isolate, indicating potential transmission. Of 74 clusters, 66 (89.2%) received infection prevention interventions after notification based upon epidemiological data. The infection prevention team performed 69 total interventions, which included unit education (n = 28), hand hygiene observations (n = 16), enhanced cleaning (n = 16), environmental cultures or removal of endoscope (n = 7), and enhanced microbiology surveillance (n = 2). The 59 subsequent infections after infection prevention notification included 17 (28.8%) with no clear epidemiological link, and 41 (69.5%) with an epidemiological link either to a new transmission route (n = 37) or the same route prior to infection prevention intervention (n = 4). Only 1 (1.7%) subsequent infection within a cluster occurred after an infection prevention intervention from the same potential route, which was a suspected unit-based transmission of vancomycin-resistant Enterococcus faecium. Conclusions: Real-time WGS was effective at detecting genetically related clusters, finding potential sources, and halting further transmission after interventions by the infection prevention team. Quick turnaround times from patient culture to sequencing and analysis were vital for successful WGS surveillance. Real-time WGS surveillance has the potential to substantially shift the infection prevention paradigm for outbreak detection.Disclosure: None