Frequency Of Errors Research Articles

Skipped wells and scientific error during fosfomycin agar dilution and broth microdilution lead to inconsistent minimal inhibitory concentrations and may be cause for reevaluating testing methods for Klebsiella pneumoniae.

Despite the first-line recommendation of fosfomycin for uncomplicated urinary tract infections (UTIs), there are pressing barriers for optimizing its use for the treatment of non-Escherichia coli Enterobacterales UTI. There are no approved breakpoints for oral use against other Enterobacterales, and the recommended agar dilution (AD) reference method for minimal inhibitory concentration (MIC) determination is largely impractical. Using 160 clinical Klebsiella pneumoniae isolates, we sought to understand rates of skipped wells and MIC imprecision in broth microdilution (BMD) and how that compares to rates of error using AD. Though the Clinical and Laboratory Standards Institute refers to the skipped well phenomena in their recommendation against the use of BMD, there is a paucity of data on its frequency. While AD and BMD produced similar MIC50/90 values (32/256 µg/mL for AD and 64/256 µg/mL for BMD), essential agreement was poor. No-growth wells at concentrations below the MIC occurred in up to 10.9% of wells at a given concentration, as the most frequent scientific error. Growth in concentrations above the measured MIC occurred in up to 3.3% of wells and was seen within three dilutions of the MIC for BMD. Observation of single colonies either at or beyond the measured MIC for AD was also common and occurred up to 8.3% and 2.5% of the time, respectively. The frequent scientific error in both testing methods should prompt re-evaluation of AD guidelines and expansion of MIC testing methods for fosfomycin susceptibility testing, as poor agreement with another method prone to scientific error should not be the main detractor from BMD use.IMPORTANCEDespite the recommendation of fosfomycin for uncomplicated urinary tract infections (UTIs), there are barriers for optimizing its use. There are no approved breakpoints for oral use against other Enterobacterales, and the recommended agar dilution (AD) reference method for MIC determination is largely impractical. The use of broth microdilution (BMD) for fosfomycin testing is not recommended by the Clinical and Laboratory Standards Institute due to unsatisfactory precision and skipped wells-occurrence of no-growth in a single well before the minimal inhibitory concentration (MIC)-and trailing endpoints. We sought to understand rates of skipped wells and growth at concentrations above measured MICs in BMD and how that compares to scientific error using AD. No-growth wells at concentrations below the MIC occurred in up to 10.9% of wells for BMD and single colonies at or beyond measured MICs for AD were also common. Frequent scientific error in both methods should prompt re-evaluation of both AD and BMD for fosfomycin susceptibility testing.

Evaluation of Mis-Selection of End Vertebrae and Its Effect on Measuring Cobb Angle and Curve Length in Adolescent Idiopathic Scoliosis.

Background: The Cobb angle is critical in assessing adolescent idiopathic scoliosis (AIS) patients. This study aimed to evaluate the error in selecting the upper- and lower-end vertebrae on AIS digital X-rays by experienced and novice observers and its correlation with the error in measuring the Cobb angle and determining the length of the scoliotic curves. Methods: Using the TraumaMeter v.873 software, eight raters independently evaluated 68 scoliotic curves. Results: The error percentage in the upper-end vertebra selection was higher than for the lower-end vertebra (44.7%, CI95% 41.05-48.3 compared to 35%, CI95% 29.7-40.4). The mean bias error (MBE) was 0.45 (CI95% 0.38-0.52) for the upper-end vertebra and 0.35 (CI% 0.69-0.91) for the lower-end vertebra. The percentage of errors in the choice of the end vertebrae was lower for the experienced than for the novices. There was a positive correlation (r = 0.673, p = 0.000) between the error in selecting the end vertebrae and determining the length of the scoliotic curves. Conclusions: We can conclude that errors in selecting end vertebrae are common among experienced and novice observers, with a greater error frequency for the upper-end vertebrae. Contrary to the consensus, the accuracy of determining the length of the scoliotic curve is limited by the Cobb method's reliance on the correct selection of the end vertebrae.

Improved self-correction of nonlinearity error in 3-step phase-shifting profilometry.

The generic self-correction method for nonlinearity-induced phase error (GSCN) can effectively suppress nonlinear error. However, GSCN directly ignores the periodic error of the 2N multiplication frequency in the error analysis stage, which still leads to errors in the suppressed results. In this paper, we propose a new method named improved generic self-correction method for nonlinearity-induced phase error in three-step phase-shifting profilometry. We retain the periodic error of the 2N multiplication frequency in the error analysis stage. In addition, based on the error model, we directly use the original fringes to compute the wrapped phases with -π/6, π/6, and π/3 phase shifts, respectively. Then, we use the original wrapped phase as the target phase and shifted the other three groups of wrapped phases to the target phase. Finally, we unwrap and fuse the four sets of wrapped phases to obtain the final corrected phase. Based on experimental results, the proposed method yields excellent reconstruction results and effectively suppresses nonlinear errors, making it highly efficient and precise.

Optimization design of the cavity tuning and RF input coupler for an 11 MeV superconducting cyclotron

This study addresses the compact design requirements for a 11 MeV superconducting cyclotron utilized in isotope production by proposing a design and optimization scheme for a radio frequency (RF) input coupling system. The system, comprising a coupler loop, transmission lines, and RF window, has been tailored to accommodate the spatial constraints imposed by the super conducting magnet radius, thereby facilitating efficient RF power transfer to the RF cavity and minimizing input power. Structural optimization of the coupler loop and RF window has achieved S11 parameter of -82.23 dB, significantly reducing input power while maintaining high coupling efficiency. A coaxial coupler suitable for lower frequency ranges has been designed, employing a tapered structure for the transmission line to ensure a smooth transition to reduce impedance discontinuity effects and enhance adjustability. The multi-stage design of the RF window has achieved fine impedance matching, significantly lowering the S11 parameter. In response to frequency drift caused by RF loss and temperature increase, the study utilizes perturbation theory to analyze the perturbation effect of coupling components on the resonant frequency, designing an adjustable structure with both coarse and precise tuning capabilities, realizing tuning precision at the kHz/mm level and a tuning range of several MHz. A conjectural formula has been proposed based on the impact of the tuner's structural parameters on the resonant frequency, accurately calculating the equivalent inductance of the tuner and the resonant frequency of the RF cavity post-tuner installation, with the maximum estimation error of the resonant frequency kept within 0.1%, offering significant guidance for engineering design.

A Discrimination Report Card

We develop an empirical Bayes ranking procedure that assigns ordinal grades to noisy measurements, balancing the information content of the assigned grades against the expected frequency of ranking errors. Applying the method to a massive correspondence experiment, we grade the race and gender contact gaps of 97 US employers, the identities of which we disclose for the first time. The grades are presented alongside measures of uncertainty about each firm’s contact gap in an accessible report card that is easily adaptable to other settings where ranks and levels are of simultaneous interest. (JEL C11, D22, J15, J16, J71)

Identifying Lower Extremity Deformities in the Coronal Plane: Lessons From Remote Learning During the COVID-19 Pandemic.

Introduction During the COVID-19 pandemic, the AO Foundation, an orthopedic education organization, had to transition its live education programs to an online format. Skills that were previously evaluated and corrected in person by educators were now assessed through online lectures and discussion groups. Our goal was to evaluate an online course designed to teach the skill of "leg length and coronal deformity measurement" and to assess participants' ability to demonstrate this skill using online software. Methods An IRB-approved study was conducted during an online osteotomy course. A total of 176 participants were instructed on how to measure length and angulation through the course lectures and planning tutorials. The Bonesetter App (Detroit Bonesetter, Detroit, Michigan, USA) was used as the digital planning tool. Participants analyzed four cases of coronal deformity using long-leg standing radiographs. They were required to identify any deformities present, specify the type of deformity, and determine whether it affected the femur, tibia, or joint. Additionally, participants needed to calculate the deformity as part of the osteotomy planning process. Their measurements and drawings were saved and subsequently evaluated by two independent observers. Results Out of 176 online participants, 76% (315 out of 417) correctly completed the four exercises. The most frequent errors occurred in measuring total deformity and joint deformity. The average standard deviation of length measurements was ±0.29 cm (based on 244 measurements), while for angular measurements, it was ±0.71 degrees (based on 688 measurements). The intraclass correlation coefficient was greater than 0.96. Conclusions The online course effectively taught coronal deformity measurement, although participants struggled most with measuring joint angles and total deformity. Future courses should provide more detailed explanations for these measurements.

Mechanical simulation analysis of an electric scroll compressor

Abstract As a precision automotive component, electric scroll compressors have high requirements for reliability. In order to save the cost of environmental testing and shorten the market cycle of new products, the modal parameters of a compressor are measured, and the first six modal parameters are obtained. Secondly, the simplified finite element model of the compressor is established, modal analysis is carried out, and the modal frequency error obtained by the two methods is controlled within a reasonable range to ensure the accuracy of the modeling. Finally, based on the established simulation model, the structural response and stress of the compressor under various working conditions, such as sinusoidal vibration and random vibration, are analyzed, and the extreme values of displacement and stress are obtained. The results show that the structural design of the compressor meets the requirements of the environmental test of on-board equipment. The test and simulation methods used in this paper also have certain reference significance for other mechanical equipment.

Power Spectral Density Analysis of Midspatial Frequency Error in the BK7 Glass Lenses Polishing Process

Power Spectral Density Analysis of Midspatial Frequency Error in the BK7 Glass Lenses Polishing Process

System error analysis and target localization of distributed pulse radars

AbstractTarget localization for distributed radars requires precise knowledge of the calibration errors in time, frequency, and space. Previous studies focus on the sensor location error and sensor directional error in space. This paper concentrates on the system errors in time and frequency which directly affect the targets estimation of range and velocity. Based on linear frequency modulation waveform, the impact of the system errors including sample interval, pulse repetition interval, and centre frequency are analysed. An alternating optimization algorithm is proposed to achieve the target localization, velocity estimation and system errors estimation simultaneously. Simulation shows the effectiveness of the algorithm and the influence on localization due to varying number of targets and radars.

Analisis Kemampuan Mahasiswa dalam Penulisan Karya Ilmiah Melalui Perspektif Literasi Data di Perguruan Tinggi

Scientific writing serves as a platform for students to convey their knowledge, experiences, and information to readers. Data literacy is a crucial tool that aids students in developing, analyzing, and concluding the data they have gathered into well-constructed scientific writing. This research aims to describe students' ability to write scientific papers with respect to data literacy in higher education institutions. To gather research data, the researchers employed a qualitative descriptive method. The data in this study represent the challenges or difficulties faced by the students. Data collection techniques include careful observation and reading of these papers, and documentation techniques involve marking or noting significant parts of the students' scientific works. Data analysis involved mapping frequent errors and calculating the percentage of these errors based on the characteristics of scientific writing. The results indicated that students' ability to write scientific papers remains low, particularly in the areas of idea development and discussion. The following percentages illustrate the students' writing abilities and data literacy: 14.25% of students can develop ideas, with 19% data literacy at the analysis stage. The ability to write the results and discussion sections of scientific papers is at 13.40%, with 12.40% data literacy at the conclusion-making stage. In the concluding section, 71.20% of students accurately write conclusions, with 67.60% data literacy at the reading stage. This study's findings highlight persistent issues in idea development and the results and discussion sections in scientific writing at higher education institutions. Further research should focus on these sections to address the difficulties identified in this study.

Distinct roles of spindle checkpoint proteins in meiosis

Gametes are produced via meiosis, a specialized cell division associated with frequent errors that cause birth defects and infertility. Uniquely in meiosis I, homologous chromosomes segregate to opposite poles, usually requiring their linkage by chiasmata, the products of crossover recombination.1 The spindle checkpoint delays cell-cycle progression until all chromosomes are properly attached to microtubules,2 but the steps leading to the capture and alignment of chromosomes on the meiosis I spindle remain poorly understood. In budding yeast meiosis I, Mad2 and Mad3BUBR1 are equally important for spindle checkpoint delay, but biorientation of homologs on the meiosis I spindle requires Mad2, but not Mad3BUBR1.3,4 Here we reveal the distinct functions of Mad2 and Mad3BUBR1 in meiosis I chromosome segregation. Mad2 promotes the prophase to metaphase I transition, while Mad3BUBR1 associates with the TOGL1 domain of Stu1CLASP, a conserved plus-end microtubule protein that is important for chromosome capture onto the spindle. Homologous chromosome pairs that are proficient in crossover formation but fail to biorient rely on Mad3BUBR1-Stu1CLASP to ensure their efficient attachment to microtubules and segregation during meiosis I. Furthermore, we show that Mad3BUBR1-Stu1CLASP are essential to rescue the segregation of mini-chromosomes lacking crossovers. Our findings define a new pathway ensuring microtubule-dependent chromosome capture and demonstrate that spindle checkpoint proteins safeguard the fidelity of chromosome segregation both by actively promoting chromosome alignment and by delaying cell-cycle progression until this has occurred.

Prescription writing pattern among the dental practitioners of a tertiary care hospital in Karachi

ObjectiveTo identify the frequency and types of prescription errors, assess adherence to WHO prescribing indicators, and highlight the gaps in current prescribing practices of Junior dental practitioners in a tertiary care hospital in Karachi, Pakistan.MethodsThis cross-sectional study was conducted from January 2021 to March 2021. The study included the prescriptions by house surgeons and junior postgraduate medical trainees for walk-in patients visiting the dental outpatient department. A total of 466 prescriptions were evaluated for WHO core drug prescribing indicators. The prescription error parameters were prepared by studying the WHO practical manual on guide to good prescribing and previous studies. Prescription errors, including errors of omission related to the physician and the patients, along with errors of omission related to the drug, were also noted. The statistical analysis was performed with SPSS version 25. Descriptive analysis was performed for qualitative variables in the study.ResultsThe average number of drugs per encounter was found to be 3.378 drugs per prescription. The percentage of encounters with antibiotics was 96.99%. Strikingly, only 16.95% of the drugs were prescribed by generic names and 23.55% of drugs belonged to the essential drug list. The majority lacked valuable information related to the prescriber, patient, and drugs. Such as contact details 419 (89.9%), date 261 (56%), medical license number 466 (100%), diagnosis 409 (87.8%), age and address of patient 453 (97.2%), form and route of drug 14 (3%), missing drug strength 69 (14.8%), missing frequency 126 (27%) and duration of treatment 72 (15.4%). Moreover, the wrong drug dosage was prescribed by 89 (19%) prescribers followed by the wrong drug in 52 (11.1%), wrong strength in 43 (9.2%) and wrong form in 9 (1.9%). Out of 1575 medicines prescribed in 466 prescriptions, 426 (27.04%) drug interactions were found and 299 (64%) had illegible handwriting.ConclusionThe study revealed that the prescription writing practices among junior dental practitioners are below optimum standards. The average number of drugs per encounter was high, with a significant percentage of encounters involving antibiotics. However, a low percentage of drugs were prescribed by generic name and from the essential drug list. Numerous prescription errors, both omissions and commissions, were identified, highlighting the need for improved training and adherence to WHO guidelines on good prescribing practices. Implementing targeted educational programs and stricter regulatory measures could enhance the quality of prescriptions and overall patient safety.

Approximate modeling of cross-beam multi-axis force/moment sensor through Gaussian process and partial dependence plots for design optimization including stress topology

This study introduces a novel approximate model (AM) aimed at optimizing the design of cross-beam multi-axis force/moment sensor. It considers the characteristics of flexure hinges in elastic beams and the flexibility of beam joints, resulting in improved accuracy and broader solutions for equivalent stresses and natural frequencies compared to existing approximate models in the literature. Model validation is carried out by comparing the results with the finite element model in different cases that each case contains 1000 simulations. Validation cases combine different sensor dimensions with different forces, moments, material properties, and center hub shapes. Each validation case typically requires approximately 19 h using the finite element method (FEM) and just 1 sec with the AM. Furthermore, by using the Gaussian process and partial dependence plots, the sensitivity of the model accuracy on normalized sensor dimensions is investigated. The evaluation of model linearity and dimension normalization allows for the utilization of the novel approximate model beyond the provided dimension range, while still adhering to the normalized parameters. The implementation of AM in the design optimization problem demonstrates its suitability and advantages compared to existing literature and FEM results. When compared to finite element solutions within the sensor workspace, the approximate model exhibits a stiffness error of 5%, a strain error of 2%, a fundamental frequency error of 3%, and an equivalent stress error of 8%, while maintaining correlations of axial sensor properties above 98%.

Kepuasan Pengguna Fitur Medis ePuskesmas dengan Model EUCS dan DeLone & McLean di Sumedang

An ePuskesmas is a health information system developed through the collaboration of the Sumedang District Health Office and PT Infokes Indonesia. It offers various features to aid health workers at Puskesmas, notably the medical feature for managing patient data during polyclinic examinations. However, this feature faces issues such as synchronization difficulties with Pcare, slow system responses due to high user traffic, and frequent errors. This study aims to assess user satisfaction with the medical features of ePuskesmas using the End User Computing Satisfaction (EUCS) model and the DeLone and McLean Model. The study involves 93 respondents, including nurses, midwives, and doctors from Sumedang Regency Health Center, selected through purposive sampling. Data analysis is performed using SmartPLS 3.2.9 with PLS-SEM. The results indicate overall user satisfaction with the medical features of ePuskesmas. Out of 8 hypotheses, 3 are accepted, and 5 are rejected. Key factors influencing user satisfaction include Accuracy, Ease of Use, and Information Quality. This research is important to find out whether the system developed by related parties is in accordance or not with the end user

A Lumped Mass Meshfree Collocation Method with Frequency Error Estimates for Free Vibration Analysis of Elastic Solids

A Lumped Mass Meshfree Collocation Method with Frequency Error Estimates for Free Vibration Analysis of Elastic Solids

Factors determining the timing of ice appearance on the Kama Reservoir

The analysis and assessment of the correlations of the ice dates vice the zero-isotherm dates, dates of water temperatures transition through 2 and 3 °C were carried out. The initial data were long-term series of observations of air temperature at weather stations, water temperature and ice dates at the gauge stations of Roshydromet for the whole period of the reservoir existence (1956–2021). As the characteristic under study, the dates of ice formation in autumn were used. Main results: verification of previously obtained correlations on independent data (1996–2021) showed that the accuracy of issued forecasts (P) was decreased by 20% compared with the accuracy on dependent data (1956–1995); an analysis of the whole period applicability (1956–2021) for constructing predictive correlations with an assessment of their justification showed that there was no noticeable refinement. The accuracy of the forecasts based on the dates of water temperatures transition through 3 °C has not changed, while forecasts based on the zero-isotherm dates and the dates of water temperatures transition through 2 °C, has noticeably decreased at all stations; the use of data only for the period of modern climate changes (1996–2021) led to the following: correlations of the ice dates vice the zero-isotherm dates and water temperature through 2 °C did not pass the criteria S and P. This period is characterized by a decrease in the frequency of small forecast errors ( 4–5 days) and an increase in large errors ( 6–11 days) by 2–3 times; a forecast technique is proposed based on the separation of the studied correlations for years with different meteorological conditions in autumn (years with stable cooling and with heat returns). The criterion for using this or that dependence in a particular year is the weather forecast. Forecasts issued according to such dependencies have a higher accuracy.

Development and Videographic Evaluation of a Vascular Access Simulation-Based Curriculum for Surgical and Medical Trainees.

There is a paucity of data evaluating femoral arterial access training, despite significant morbidity/mortality associated with incorrect femoral arterial access. The aim of this study was to develop and evaluate a novel 2-component simulation-based curriculum to address a lack of standardized access training and identify the most frequent errors in access. The femoral arterial access curriculum was developed through a multi-disciplinary collaboration and utilized in-person simulation sessions in conjunction with online and in-person didactic training. Access errors and curriculum efficacy were assessed using mixed-methodology evaluation of video recordings of trainee arterial access pre- and postcurriculum. All recordings were reviewed and scored by 2 blinded, independent investigators. Twenty-six participants completed the curriculum with pre- and postcurriculum recordings. Sixteen participants (62%) were in their first year of residency training. Fifteen participants (58%) belonged to general surgery residency, 9 (35%) to emergency medicine, 1 to vascular surgery, and 1 to interventional radiology residency programs. The global rating for the overall ability to obtain femoral arterial access under ultrasound guidance (0 = fail, 4 = excellent) improved following the curriculum (0.87 ± 0.15, 2.79 ± 1.26, P < 0.0001). Fourteen participants (54%) were unable to independently complete the procedure before training, compared to only 2 participants (8%) following the curriculum. Procedural completion time decreased from 7.14 ± 4.26 to 3.81 ± 2.53 minutes (P < 0.001). Most frequent errors, determined through qualitative analysis, included difficulty using the ultrasound and unsafe maneuvers. Before the curriculum, there were significant frequent errors in junior resident femoral arterial access with major patient safety concerns. A novel simulation-based femoral arterial access curriculum resulted in improved procedural skills across all metrics.

Theoretical analysis of using multiple borehole heat exchangers for production of heating and cooling energy in shallow geothermal reservoirs with underground water flow

In this work the feasibility of using the double-U borehole heat exchangers (BHE) in multiple arrangements for production of heating and cooling energy has been investigated.Theoretical case studies are given for a few hypothetical lithological cases corresponding to the lithology that can be found in City of Zagreb. The results show interference between the borehole heat exchangers and limits of use of shallow reservoir with respect to slow convection and loss of accumulated energy in the reservoir. Special emphasis is placed on the description of the groundwater flow determined by the parameters of the shallow geothermal reservoir, such as permeability, water saturation, thermal conductivity, specific heat capacity and soil density, topography, precipitation, etc. Simulations have been performed in FeFlow coupled with Python user-scripts for individual control of the BHE’s, and the surface equipment is modelled using RES2GEO. To assess the accuracy of numerical predictions in simulating thermal responses, FeFlow software was utilized to conduct Thermal Response Tests (TRT) for individual Borehole Heat Exchangers (BHEs). These numerical results were then juxtaposed with empirical TRT data collected from a site near Velika Gorica, a town within the City of Zagreb. For each case simulation is done for one year with one hour resolution. The temperature distribution analysis highlights notable differences between scenarios, where the temperature field with lower permeability experiences significant variations, particularly near the BHE. Here, temperatures can soar to 20 °C during cooling periods and plummet to 4 °C in heating seasons. These fluctuations cause overheating and subcooling of the reservoir, impairing the heat pump’s efficiency and necessitating increased electricity consumption. By using Multivariate linear regression and Multi-layer perceptron regressor method, the main parameter for determination of COP of ground source heat pump. The analysis reveals that the majority of errors fall within the range of ± 5 %, although the MLA prediction method exhibits slightly more frequent errors. Additionally, the R2 scores demonstrate strong performance: the MLA procedure achieves 0.95 for heating and 0.99 for cooling, while the MLP procedure attains 0.99 for both heating and cooling phases.

Evaluation of pediatric vision screening and digital referral routines in an interprofessional setting in Norway

Vision is crucial for childhood development, and ensuring good vision in children is one of the United Nation’s sustainability goals. Most countries have a childhood vision screening programme, and in Norway screening in children aged 4–5 years is performed in community health centres (CHC). Specialist health services such as ophthalmology and/or orthoptics are the referral bodies. However, access to these may be limited and they may be a long distance away from the child’s home, while optometrists are often more available and accessible. This study aims to investigate if vision screening reliably detects vision problems and to explore if using paediatric optometry as a referral body can relieve the specialist health services. The study also aims to report frequency of refractive errors and management of vision problems in this age group. Of 274 children who attended vision screening by school nurses at the CHC in Kongsberg, Norway, parents of 213 (77.7%) consented to a separate eye and vision examination by a paediatric optometrist. Agreements in screening results between school nurses and the paediatric optometrists were evaluated. Separately, an ophthalmologist and an orthoptist assessed records from the eye examinations through a digital communication tool (Eyecheck System AS). Agreements in diagnoses and management decisions between optometrists and the specialist health services were evaluated. Amblyopia or ocular pathology was found in 1.9% of the children, which were all identified by the vision screening. The vision screening had a sensitivity and specificity of 62.3% and 58.6%, respectively, for detecting other vision problems in need of treatment or follow-up. Hypermetropia was present in 82.7% of the children (58.0% low, 18.5% moderate, 6.5% high hypermetropia), 16.4% had emmetropia and 1.0% had myopia. Glasses were prescribed to 8.5% of the children and 16.4% were scheduled for follow-ups. There was a high level of agreement in management between optometrists and specialists (ophthalmologist 80.3%, orthoptist 81.7%). The vision screening reliably detected amblyopia and ocular pathology, and most refractive errors were detected. The high degree of agreement between the three eye care professions suggests that paediatric optometrists can be used as the referral body for this age group. Availability of a digital communication tool provides support for the paediatric optometrists in their decision making and can help relieve the specialist health services by providing children with an eye examination and vision correction earlier and more easily.

A model for preventing radio interference in the communication system of unmanned aerial vehicles

Problem statement. The communication network of unmanned aerial vehicles (UAVs) has proven to be a promising model capable of operating independently and as a repeater to increase coverage and communication efficiency. However, densely distributed ground base stations with common communication frequencies inevitably generate interference within the transmission channel. The influence of interference can be effectively eliminated by implementing optical communication in free space in the communication network of an unmanned aerial vehicle. Goal. Development of a modal for effective elimination of radio interference for unmanned aerial vehicles through the use of a mixed millimeter-wave radio frequency communication system. Results. The simulation results show that the proposed network significantly increases the probability of troubleshooting and achieves an increase in the signal-to-noise ratio by approximately 4.6 dB at an average frequency of character errors, especially in scenarios where radio frequency lines are subject to severe interference or unfavorable weather conditions, unlike a fully radio frequency communication network. Practical significance. Improved communication reliability for UAV systems with an effective signal-to-noise ratio reduces the likelihood of packet loss and the bit error rate (BER) of transmitted data.