Universal Solution Research Articles

A study of the wave dynamics of the space–time fractional nonlinear evolution equations of beta derivative using the improved Bernoulli sub-equation function approach

The space–time fractional nonlinear Klein-Gordon and modified regularized long-wave equations explain the dynamics of spinless ions and relativistic electrons in atom theory, long-wave dynamics in the ocean, like tsunamis and tidal waves, shallow water waves in coastal sea areas, and also modeling several nonlinear optical phenomena. In this study, the improved Bernoulli sub-equation function method has been used to generate some new and more universal closed-form traveling wave solutions of those equations in the sense of beta-derivative. Using the fractional complex wave transformation, the equations are converted into nonlinear differential equations. The achieved outcomes are further inclusive of successfully dealing with the aforementioned models. Some projecting solitons waveforms, including, kink, singular soliton, bell shape, anti-bell shape, and other types of solutions are displayed through a three-dimensional plotline, a plot of contour, and a 2D plot for definite parametric values. It is significant to note that all obtained solutions are verified as accurate by substituting the original equation in each case using the computational software, Maple. Additionally, the results have been compared with other existing results in the literature to show their uniqueness. The proposed technique is effective, computationally attractive, and trustworthy to establish more generalized wave solutions.

DLMDish: Using Applied Deep Learning and Computer Vision to Automatically Classify Mauritian Dishes

The benefits of using an automatic dietary assessment system for accompanying diabetes patients and prediabetic persons to control the risk factor also referred to as the obesity “pandemic” are now widely proven and accepted. However, there is no universal solution as eating habits of people are dependent on context and culture. This project is the cornerstone for future works of researchers and health professionals in the field of automatic dietary assessment of Mauritian dishes. We propose a process to produce a food dataset for Mauritian dishes using the Generative Adversarial Network (GAN) and a fine Convolutional Neural Network (CNN) model for identifying Mauritian food dishes. The outputs and findings of this research can be used in the process of automatic calorie calculation and food recommendation, primarily using ubiquitous devices like mobile phones via mobile applications. Using the Adam optimizer with carefully fixed hyper-parameters, we achieved an Accuracy of 95.66% and Loss of 3.5% as concerns the recognition task.

Universal adaptive optics for microscopy through embedded neural network control

The resolution and contrast of microscope imaging is often affected by aberrations introduced by imperfect optical systems and inhomogeneous refractive structures in specimens. Adaptive optics (AO) compensates these aberrations and restores diffraction limited performance. A wide range of AO solutions have been introduced, often tailored to a specific microscope type or application. Until now, a universal AO solution – one that can be readily transferred between microscope modalities – has not been deployed. We propose versatile and fast aberration correction using a physics-based machine learning assisted wavefront-sensorless AO control (MLAO) method. Unlike previous ML methods, we used a specially constructed neural network (NN) architecture, designed using physical understanding of the general microscope image formation, that was embedded in the control loop of different microscope systems. The approach means that not only is the resulting NN orders of magnitude simpler than previous NN methods, but the concept is translatable across microscope modalities. We demonstrated the method on a two-photon, a three-photon and a widefield three-dimensional (3D) structured illumination microscope. Results showed that the method outperformed commonly-used modal-based sensorless AO methods. We also showed that our ML-based method was robust in a range of challenging imaging conditions, such as 3D sample structures, specimen motion, low signal to noise ratio and activity-induced fluorescence fluctuations. Moreover, as the bespoke architecture encapsulated physical understanding of the imaging process, the internal NN configuration was no-longer a “black box”, but provided physical insights on internal workings, which could influence future designs.

HISTORICAL OVERVIEW OF THE PROCESS OF PREVENTING AND COMBATING THE USE AND ABUSE OF DRUGS BASED ON THE INTERNATIONAL OPIUM CONVENTION AND ITS BACKGROUND

The present scientific work offered primary attention to the unfolding of historical facts, which contributed decisively to the construction and applicability of public policies aimed at effectively combating the use and abuse of illicit drugs, starting with the Opium Wars, in the first half of the nineteenth century, between China and Great Britain, with its main development being the holding of the first international event, the International Opium Convention, held at the beginning of the twentieth century, which sought to find a universal solution to the problem that already bothered and caused concern to the authorities of the time. With the participation and signing of the Treaty by important international powers, such as the United States of America, China, France, the United Kingdom, among others, in a total of thirteen nations, the first effort was born towards effectively combating the spread of illicit drugs in the world. From the aforementioned Convention, a Legal Framework was constructed and, subsequently, fully adopted or adapted to the legislation of each signatory and member country of this conference, as in the case of Brazil. The developments arising from these international events contributed in a rich, positive and correct way to the construction of this brief and simple scientific research instrument.

Joint liability and aggravation? An inspection of legislative and judicial practices in cases of the crime of the abduction, sale, and purchase of women and children in China

Human trafficking is a harmful, widespread and pressing issue that demands attention. However, the prevalence of such crimes may vary across different countries and time periods, which means that there may not be a universal solution to addressing them. In response to the recent public outcry sparked by the incident of the woman chained in Feng County, Xuzhou, this article provides a comprehensive review of China’s legislative and judicial responses to crimes against women and children who are abducted and sold, as well as the corresponding governance effects and causes. This study examines whether the punishment for buying and trafficking women and children should be increased through criminal law amendments and whether the current public outrage calling for equal punishment for buyers and sellers is justified. To provide a rational response to these issues, the article reviews all relevant laws, regulations, judicial cases, and typical cases from 1979 to 2022. An analysis of the change in case processing over the years was conducted using MATLAB software with the baseline panel regression model, robustness checks, and mechanism tests. This study reveals a decline on human trafficking crimes in China, but four provinces (Yunnan, Henan, Shandong, and Fujian) have a higher incidence. The article offers a comprehensive analysis from both macro and micro perspectives. National macro factors such as economic development, social welfare policies, rural revitalization, and COVID-19 prevention contribute to the decline. From a micro perspective, local differences in these provinces are a significant reason for high incidence from a micro perspective. This article suggests that legal amendments to increase punishment would be ineffective. Instead, existing legal provisions should be applied, and decision-making rules from typical cases should be utilized.

Modern aspects in the treatment of intra-articular fractures and fractures of the proximal interphalangeal joints of the three-phalangeal fingers of the hand, as well as their consequences

BACKGROUND: Proximal interphalangeal joint intra-articular fractures are a prevalent problem in traumatology and orthopedics. Damage typically develops at the base of the middle phalanx due to a collision with the head of the proximal phalanx. As a result, the fingers function declines significantly, which inevitably impacts the function of the entire brush. Compared with long-standing injuries, treating patients with this pathology in the acute period of injury is more likely to result in limb function restoration. Suppose an intra-articular fracture is underestimated or missed in the early stages. In that case, the doctor may eventually encounter chronic pain syndrome, joint and/or stiffness, and more time-consuming treatment procedures. There are many methods of treatment for both acute and long-standing injuries, each with advantages and disadvantages.
 OBJECTIVE: To describe, in our opinion, the most effective modalities of therapy for patients with these injuries in the early stages (up to 4 weeks from the time of injury) and long-term periods (more than 4 weeks).
 MATERIALS AND METHODS: The Suzuki external fixation spoke device (pins and rubber traction system [PRTS]) was used to treat 26 patients with fractures and dislocations of the base of the middle phalanx of the three-phalangeal fingers of the hand in the acute period of injury. Arthroplasty of the base of the middle phalanx with a hook bone graft (hemihamate) with its modifications was used in the treatment of 23 patients with inadequately fused intra-articular fractures of the base of the middle phalanx of the three-phalangeal fingers of the hand. All patients underwent physical examinations, X-rays, and/or CT scans to diagnose and confirm or clarify the nature of the damage. All patients developed passive/active movements early in the operated section during the postoperative period.
 RESULTS: The patient estimated the VAS pain syndrome at 46 points on the scale; however, after 68 weeks, this indicator was 01 points. After 68 weeks, the amplitude of movements in the proximal interphalangeal joint of the fingers from the average of 3050 after 68 weeks, was reached the average of 1595. There was a 1520 extensor contracture in two patients.
 CONCLUSION: The treatment of patients with intra-articular fractures and fracture-dislocations in the proximal interphalangeal joint of the three-phalangeal fingers of the hand, as well as their consequences, is a complex current problem in traumatology and orthopedics with no one-word universal solution. To select treatment strategies, a comprehensive evaluation of the patient, correct verification and interpretation of the existing damage, and a thorough understanding of the anatomy of the fingers and the hand are required.

GE-DDRL: Graph Embedding and Deep Distributional Reinforcement Learning for Reliable Shortest Path: A Universal and Scale Free Solution

This paper studies the reliable shortest path (RSP) problem in stochastic transportation networks. State-of-the-art RSP solutions usually target one specific RSP problem; moreover, the corresponding algorithm’s computational complexity scales at least linearly with the size of the underlying transportation network. While in this paper, we propose a graph embedding and deep distributional reinforcement learning (GE-DDRL) method, which serves as a universal and scale-free solution to the RSP problem. GE-DDRL uses deep distributional reinforcement learning (DDRL) to estimate the full travel-time distribution of a given routing policy, and improves the given routing policy with the generalized policy iteration (GPI) scheme. Further, in order to achieve the generalization ability to new destination nodes, we employ one of the canonical graph embedding techniques (Skip-Gram) to compress the nodes’ representation into <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$d$</tex-math> </inline-formula> -dimensional real-valued vectors. With the properly compressed node features, GE-DDRL is able to generalize its estimation of the routing policy’s travel-time distribution to untrained destination nodes, and hence achieve the ‘all-to-all’ navigation functionality. To the best of our knowledge, GE-DDRL serves as the first RSP planner, which applies simultaneously to almost all RSP objectives and in the meanwhile, is scale free with the size of the transportation network in terms of the online decision-making time and memory complexity. Experimental results and comparisons with state of the arts show the efficacy and efficiency of GE-DDRL in a range of transportation networks.

20 GHz fiber-integrated femtosecond pulse and supercontinuum generation with a resonant electro-optic frequency comb

Frequency combs with mode spacing of 10–20 GHz are critical for increasingly important applications such as astronomical spectrograph calibration, high-speed dual-comb spectroscopy, and low-noise microwave generation. While electro-optic modulators and microresonators can provide narrowband comb sources at this repetition rate, a significant remaining challenge is a means to produce pulses with sufficient peak power to initiate nonlinear supercontinuum generation spanning hundreds of terahertz (THz) as required for self-referencing. Here, we provide a simple, robust, and universal solution to this problem using off-the-shelf polarization-maintaining amplification and nonlinear fiber components. This fiber-integrated approach for nonlinear temporal compression and supercontinuum generation is demonstrated with a resonant electro-optic frequency comb at 1550 nm. We show how to readily achieve pulses shorter than 60 fs at a repetition rate of 20 GHz. The same technique can be applied to picosecond pulses at 10 GHz to demonstrate temporal compression by 9× and achieve 50 fs pulses with a peak power of 5.5 kW. These compressed pulses enable flat supercontinuum generation spanning more than 600 nm after propagation through multi-segment dispersion-tailored anomalous-dispersion highly nonlinear fibers or tantala waveguides. The same 10 GHz source can readily achieve an octave-spanning spectrum for self-referencing in dispersion-engineered silicon nitride waveguides. This simple all-fiber approach to nonlinear spectral broadening fills a critical gap for transforming any narrowband 10–20 GHz frequency comb into a broadband spectrum for a wide range of applications that benefit from the high pulse rate and require access to the individual comb modes.

Critical Phenomena in the Collapse of Gravitational Waves.

Fine-tuning generic but smooth spherically symmetric initial data for general relativity to the threshold of dynamical black hole formation creates arbitrarily large curvatures, mediated by a universal self-similar solution that acts as an intermediate attractor. For vacuum gravitational waves, however, these critical phenomena have been elusive. We present, for the first time, excellent agreement among three independent numerical simulations of this collapse. Surprisingly, we find no universality, and observe approximate self-similarity for some families of initial data but not for others.

Open access as an intervention to improve outpatient waiting list

Abstract Background Waiting list management is a critical aspect of health care facilities, representing the excess of demand that could be guaranteed in a specific time. The effective implementation of policies to govern waiting lists requires the adoption of adequate organizational booking structures to contain the risk of underuse of care services and maximize their ability to ensure compliance with the maximum waiting time for each priority class. Methods The study analyzes the Open Access model adopted by the Azienda Ospedaliero-Universitaria Pisana (AOUP). The model involves booking within 3 days and daily sliding of services monitored by a Regional masterplan, with supply evenly distributed throughout the week. Since Open Access model was implemented in June 2020, the study analyzes the effect of this between June 1, 2019 and May 31, 2021, regarding specialist visits and diagnostic tests. Results In the study time, the percentage of all guaranteed services within the national timeframe raised significantly from 84.02% to 93.56%. For example, rheumatology visit that went from 68% to 99%. Speaking of waiting time, allergology visit went from 96 days to 8 days and the pneumology visit from 82 days to 4 days. Visits that were already starting from times in line with priority also benefited from the methodology, such as the vascular surgery visit that went from 2 to 0 days. Conclusions Therefore, proper governance of waiting lists is crucial in the healthcare system since timely access to healthcare services is an essential right for citizens and has a significant impact on the management of healthcare services. However, there are no one-size-fits-all solutions for managing waiting lists, but complex actions need to be implemented. The importance of digital tools for waiting list management is emphasized and adequate control structures are needed to detect any ‘anomalies’ and verify the proper functioning of the system of access to care. Key messages • Efficient waitlist management safeguards citizens’ rights to access to care and proper governance. • Control structures are crucial for effective management as a universal solution is unattainable.

Review of Adversarial Attacks in Object Detection

Object detection, a fundamental element of computer vision and artificial intelligence, has experienced considerable advancements through the incorporation of deep learning-based techniques. Yet, despite the impressive strides in both accuracy and efficiency, object detection algorithms harbor inherent vulnerabilities to adversarial attacks. These well-crafted disruptions pose significant risks, especially considering the broad application of object detection across an array of safety-critical sectors such as autonomous transportation, medical imaging, and security systems. This comprehensive paper offers a thorough review of adversarial attacks against object detection systems, dissecting the methods employed, and scrutinizing the implications of their exploits. It dives deep into the mechanics and consequences of both white-box and black-box attacks on prevalent object detection networks, including but not limited to Faster R-CNN, YOLO, and SSD. Furthermore, this paper underscores an assortment of defense strategies developed to mitigate the effects of adversarial attacks. These include adversarial training, gradient masking, input transformations, and randomized defenses. While these strategies hold promise, it is acknowledged that they have their limitations and do not offer a universal solution against all adversarial attacks. As such, this paper underscores the urgent necessity for robust defense mechanisms and stimulates further discourse and investigation into developing truly resilient object detection systems, capable of withstanding the growing threat of adversarial attacks.

Thermal safety and overall kinetics for methyl methacrylate solution polymerization via on-line process analytical technology

Polymethyl methacrylate (PMMA) is widely used, but its polymerization process is highly hazardous and the relevant thermal hazards have not been adequately investigated. Herein, the thermal safety and kinetic mechanisms of methyl methacrylate (MMA) polymerization are explored. The effect of monomer concentration on the exothermic characteristics is first investigated using a reaction calorimeter. The results indicate that the exothermic behavior of this reaction is significantly influenced by the monomer concentration. Meanwhile, a quantitative relationship between the specific enthalpy and monomer concentration is determined. Moreover, overall rate expression is developed by a rapid quantitative method to further elucidate the quantitative dependence of reaction rate on the process conditions. Subsequently, adiabatic experiment is performed to reveal the thermal controllability of this reaction. Finally, risk level is ascertained to propose constructive countermeasures. This work provides guidance for the safe operation of MMA polymerization, and the methodology also furnishes universal solutions for analogous reactions.

Compensation schemes for plant quarantine pest costs: A case study for Germany

Plant quarantine pests worldwide cause considerable economic damage due to direct plant losses, eradication costs, and contamination measures. Although these losses can threaten the survival of a farm, no country to date has a universal compensation solution that encompasses all agricultural sectors. This paper aims to assess various compensation options by, firstly, calculating potential monetary losses caused by selected quarantine pests, which have not been studied in this context before. Secondly, we calculate farmers’ willingness to pay (WTP) for different components of compensation options in plant production using a discrete choice experiment (DCE). We find that monetary losses caused by quarantine pests vary significantly across products and sectors and are highest for intensive vegetable production. The DCE reveals a strong preference for the state compensation and heterogeneity of preferences among farmers depending on their experience with risk management options and perception of pest occurrence. The WTP analysis indicates that requiring preventive plant protection measures as a prerequisite for receiving compensation significantly deters farmers from participating in such a system, as its WTP exhibits the most negative impact compared to all other factors. Due to sectoral differences and path-dependent nature of compensation programs, a universal solution is rather not feasible. Sector-specific solutions must be considered, which does not rule out similar compensation approaches among sectors. Our findings are useful for designing compensation programs for quarantine plant pest cases.

Strategies and solutions to address Digital Determinants of Health (DDOH) across underinvested communities.

Healthcare has long struggled to improve services through technology without further widening health disparities. With the significant expansion of digital health, a group of healthcare professionals and scholars from across the globe are proposing the official usage of the term "Digital Determinants of Health" (DDOH) to explicitly call out the relationship between technology, healthcare, and equity. This is the final paper in a series published in PLOS Digital Health that seeks to understand and summarize current knowledge of the strategies and solutions that help to mitigate the negative effects of DDOH for underinvested communities. Through a search of English-language Medline, Scopus, and Google Scholar articles published since 2010, 345 articles were identified that discussed the application of digital health technology among underinvested communities. A group of 8 reviewers assessed 132 articles selected at random for the mention of solutions that minimize differences in DDOH. Solutions were then organized by categories of policy; design and development; implementation and adoption; and evaluation and ongoing monitoring. The data were then assessed by category and the findings summarized. The reviewers also looked for common themes across the solutions and evidence of effectiveness. From this limited scoping review, the authors found numerous solutions mentioned across the papers for addressing DDOH and many common themes emerged regardless of the specific community or digital health technology under review. There was notably less information on solutions regarding ongoing evaluation and monitoring which corresponded with a lack of research evidence regarding effectiveness. The findings directionally suggest that universal strategies and solutions can be developed to address DDOH independent of the specific community under focus. With the need for the further development of DDOH measures, we also provide a framework for DDOH assessment.

Hybrid Approach to Colony-Forming Unit Counting Problem Using Multi-Loss U-Net Reformulation.

Colony-Forming Unit (CFU) counting is a complex problem without a universal solution in biomedical and food safety domains. A multitude of sophisticated heuristics and segmentation-driven approaches have been proposed by researchers. However, U-Net remains the most frequently cited and used deep learning method in these domains. The latter approach provides a segmentation output map and requires an additional counting procedure to calculate unique segmented regions and detect microbial colonies. However, due to pixel-based targets, it tends to generate irrelevant artifacts or errant pixels, leading to inaccurate and mixed post-processing results. In response to these challenges, this paper proposes a novel hybrid counting approach, incorporating a multi-loss U-Net reformulation and a post-processing Petri dish localization algorithm. Firstly, a unique innovation lies in the multi-loss U-Net reformulation. An additional loss term is introduced in the bottleneck U-Net layer, focusing on the delivery of an auxiliary signal that indicates where to look for distinct CFUs. Secondly, the novel localization algorithm automatically incorporates an agar plate and its bezel into the CFU counting techniques. Finally, the proposition is further enhanced by the integration of a fully automated solution, which comprises a specially designed uniform Petri dish illumination system and a counting web application. The latter application directly receives images from the camera, processes them, and sends the segmentation results to the user. This feature provides an opportunity to correct the CFU counts, offering a feedback loop that contributes to the continued development of the deep learning model. Through extensive experimentation, the authors of this paper have found that all probed multi-loss U-Net architectures incorporated into the proposed hybrid approach consistently outperformed their single-loss counterparts, as well as other comparable models such as self-normalized density maps and YOLOv6, by at least 1% to 3% in mean absolute and symmetric mean absolute percentage errors. Further significant improvements were also reported through the means of the novel localization algorithm. This reaffirms the effectiveness of the proposed hybrid solution in addressing contemporary challenges of precise in vitro CFU counting.

A Case for Adaptive Management of Rangelands’ Wicked Problems

Sagebrush-steppe restoration has long been seen as a wicked problem—each case has multifaceted problems with no universal solutions—and thus managers have had to adopt adaptive management techniques to meet ever-changing landscape demands. In this study, we characterize the efficacy of an adaptive management plan in a severely degraded sagebrush-steppe winter range habitat for mule deer for 8 yr by monitoring the plant community. During this time, managers have actively managed juniper encroachment through felling and responded to a 2014 wildfire by applying herbicide and seeding for native and forage vegetation. We found that the adaptive management practices reduced annual invasive grasses by about half post fire and nearly doubled preferred herbaceous plants’ cover and biomass. However, these successes were only recorded in plots that received repeated treatments, whereas in plots that only received a single treatment post fire, invasive annual grasses returned to prefire cover. Despite these successes in recovering desired herbaceous composition, shrub regeneration was nearly nonexistent during the study period despite repeated attempts to seed.

Universal Solution of Medieval Spherical Astronomy

Spherical astronomy is a part of astronomy that figures of the sky as a sphere. It concerns the study of astronomical coordinate frames, the direction and apparent motion of celestial bodies, the determination of positions from astronomical observations, and the errors that can occur in observations. Spherical astronomy makes it easier for humans to determine the direction and position of celestial bodies relative to observers on Earth. In the history of human civilization, spherical astronomy has been the solution to determining the time of worship for medieval Muslims. Especially during the glory days of the Mamluks, Egypt and Syria. This article was written based on literature research with qualitative method as an approach. Then the collecting data was carried out by the documentation method on various notes, books, transcripts and images could be found. Then the data was analyzed descriptively. The results of this research show that Egyptian and Syrian astronomers during Mamluk reign (between the 13th-15th centuries) made a major contribution to the progress and development of science, especially in astronomy. Both the preparation of astronomical tables and various astronomical tools or instruments they designed.

From D-shaped to D-shape optical fiber – A universal solution for sensing and biosensing applications: Drawn D-shape fiber and its sensing applications

We verified experimentally a new method of development of well know D-shape fibers. Instead of mechanical or chemical postprocessing of standard fibers, we have developed a D-shaped preform and further processed it on a fiber drawing tower Inversion of the fabrication process allows to obtain hundreds of meters of uniform sensing fiber with a thermodynamically flattened sensing surface. We have developed fibers with a core of 7 by 8 µm, a 2 µm distance between the core and sensing surface, and its roughness of RMS = 40 nm. As a proof-of-concept, we have developed a lossy-mode resonant sensor with a 320 nm ITO layer and demonstrated its sensitivity of 550 nm/RIE.

Theoretically assisted and empirical scalings in the problem of determination of internal inductance in tokamaks

The problem of inferring the internal inductance from external magnetic measurements in tokamaks is considered. It was practically resolved in JET (Barana O et al 2002 Plasma Phys. Control. Fusion 44 2271), but several questions remain to be addressed before extrapolation of that method on other tokamaks. These naturally arise because of the integral nature of determined by unknown distribution of the magnetic field inside the plasma. Without universal solutions, the quality of approximations should be examined along with potential experimental enforcements of the existing procedures. This is the main goal of the study that is fully analytical. Several relevant quantities are calculated for the large-aspect-ratio plasma with elliptical shifted magnetic surfaces. Usually the plasma elongation is mentioned as a key factor in the task. Here it is explicitly shown that not only , but its radial derivative too plays a role. The latter parameter did not appear in the JET scaling and in the accompanying discussions. It is also shown that the -dependent term representing there the first iteration actually brings a systematic error. Therefore, several improvements to that scaling can be proposed. The study is based on the use of virial relations for the toroidal axisymmetric configurations.

The results of a laboratory and clinical study evaluating the disinfecting properties multifunctional solution “OKVision GOLD” in relation to gas-permeable lenses

Introduction. The modern realities of the Russian market of contact lens care products dictate the search for a universal solution for one-stage cleaning, which has high disinfecting and cleansing properties for all types of contact lens materials.Purpose: investigation of the disinfecting properties of the multifunctional solution “OKVision GOLD” in relation to scleral gas-permeable lenses.Materials and methods. 20 patients (40 eyes) with keratoconus of various stages (average age 32.6 ± 2.3 years) were examined before and after wearing scleral lenses in the daytime. A clinical ophthalmological study was conducted, including a biomicroscopic assessment of the lens surfaces, as well as the anterior segment of the eye with the use of vital dyes before and after lens cleaning. In addition, smears were collected for further bacteriological examination. Evaluated: a) initial smear from the conjunctiva of the patient before putting on the contact lens; b) a smear from two surfaces of the lens after wearing it for 12 hours; c) a smear from two surfaces of the lens after 6 hours of treatment in solution. The place of analysis: G.N. Gabrichevsky research institute for epidemiology and microbiology.Results. Sowing smears from the conjunctiva before using contact correction revealed the presence of opportunistic flora. Sowing after 12 hours of wearing lenses determined the attachment of pathogenic flora. Examination of smears from lens surfaces after their 6-hour exposure in solution revealed complete inactivation of previously detected pathogenic and insignificant presence of conditionally pathogenic flora. During biomicroscopy, the condition of the eye surface remained unchanged, no deposits on the lenses were recorded. The survey of patients also revealed no negative reactions.Conclusion. The results of clinical and bacteriological studies indicate high disinfecting activity against conditionally pathogenic and conditionally pathogenic flora in the treatment of scleral lenses. This solution can be recommended for the care of all types of contact lenses, including gas-permeable ones.