Unsatisfactory Effect Research Articles

Stereoscopic plant-protection system integrating UAVs and autonomous ground sprayers for orchards.

For orchard plant protection, conventional large machines and small sprayers are practically restricted by either narrow planting intervals with dense leaves or their inadequate penetration power, which leads to an unsatisfactory effect of spray. This paper proposes a stereoscopic plant-protection strategy that integrates unmanned air and ground sprayers to spray different parts of canopies to improve uniformity. In order to verify the proposal, a stereoscopic plant-protection system (SPS) was developed, consisting of a small swing-arm sprayer and a T16 plant-protection Unmanned Aerial Vehicle (UAV). Then, optimal operation parameters were determined by Computational Fluid Dynamics (CFD) and orthogonal experiments, and the uniformity was finally quantified by trials. CFD and orthogonal experiments showed that a swing-arm angle of 60° and a forward speed of 0.4 m/s were optimal for the ground sprayer, whilst a height of 2.0 m from the top of canopies and a forward speed of 1.0 m/s were appropriate for the UAV. The trial results showed that the density of vertical droplet deposition varied from 90 to 107 deposits/cm2 in canopies, and the uniformity was 38.3% higher than conventional approaches. The uniformity of top, bottom, inside and outside canopies was significantly improved. Meanwhile, the density of droplet deposition on both sides of leaves in all test points exceeded 25 deposits/cm2, able to meet the standard of spray. This study provides a practical approach for uniform pesticide spray to large-canopy fruit trees. Moreover, the high flexibility of plant-protection UAVs and the significant trafficability of small swing-arm sprayers can solve the problem of large machine entering and leaving orchards.

A Tumor‐Specific Platform of Peroxynitrite Triggering Ferroptosis of Cancer Cells

AbstractPeroxynitrite (ONOO−) is a potent oxidant and nucleophile participating in a variety of pathophysiological processes as well as playing a major role in cancer therapy. However, the intracellular environment of solid tumors severely restricts the production of ONOO−, which leads to an unsatisfactory anticancer effect. Here, a tumor‐specific platform for ONOO− generation, prepared by linking a type I photosensitizer with a GSH‐responsive NO donor, is constructed to overcome the tumor hypoxic microenvironment and enhance treatment efficiency (NBS‐2S‐NO). Responding to the overexpressed glutathione (GSH) within tumors, NBS‐2S‐NO can selectively induce ONOO− generation after a cascade including red light irradiation causing superoxide radical (O2•−) production, GSH‐triggered NO release, and fast reaction between O2•− and NO. The generated ONOO− can cause oxidative damage to tumor cells, induce lipid peroxidation (LPO) during the cell death process and finally cause ferroptosis. Both in vitro and in vivo outcomes demonstrate the notable anticancer ferroptosis efficacy of this platform, suggesting not only an effective ferroptosis strategy for the design of new photosensitizers but also a worthy of reference for antioxidant regulation to enhance the oxidative damage during the tumor treatment process.

Quercetin Alleviates Lipopolysaccharide-Induced Cell Damage and Inflammation via Regulation of the TLR4/NF-κB Pathway in Bovine Intestinal Epithelial Cells.

Acute diarrhoea and intestinal inflammation represent one of the most prevalent clinical disorders of milk production, resulting in enormous annual financial damage for the dairy sector. In the context of an unsatisfactory therapeutic effect of antibiotics, the natural products of plants have been the focus of research. Quercetin is an important flavonoid found in a variety of plants, including fruits and vegetables, and has strong anti-inflammatory effects, so it has received extensive attention as a potential anti-inflammatory antioxidant. However, the underlying basis of quercetin on inflammatory reactions and oxidative tension generated by lipopolysaccharide (LPS) in bovine intestinal epithelial cells (BIECs) is currently unexplained. This research aimed to determine the influence of quercetin on LPS-induced inflammatory reactions, oxidative tension, and the barrier role of BIECs. Our findings demonstrated that BIEC viability was significantly improved in LPS-treated BIEC with 80 μg/mL quercetin compared with the control group. Indicators of oxidative overload and genes involved in barrier role revealed that 80 μg/mL quercetin efficiently rescued BIECs from oxidative and barrier impairment triggered by 5 μg/mL LPS. In addition, the mRNA expression of pro-inflammatory cytokines TNF-α, IL-1β, and IL-6, as well as chemokines CXCL2, CXCL5, CCL5, and CXCL8, was diminished in LPS-treated BIECs with 80 μg/mL quercetin compared with LPS alone. Furthermore, the mRNA expression of toll-like receptor 4 (TLR4), CD14, myeloid differential protein-2 (MD2), and myeloid differentiation primary response protein (MyD88) genes associated with the TLR4 signal mechanism was markedly reduced by the addition of quercetin to LPS-modulated BIECs, indicating that quercetin can suppress the TLR4 signal mechanism. We performed Western blotting on the NF-κB signalling mechanism and compared it with immunofluorescence to further corroborate this conclusion. The LPS treatment enhanced the proportions of p-IκBα/GAPDH and p-p65/GAPDH. Compared with the LPS-treated group, quercetin administration decreased the proportions of p-IκBα/GAPDH and p-p65/GAPDH. In addition, immunofluorescence demonstrated that quercetin greatly reduced the LPS-induced nuclear translocation of NF-κB p65 in BIECs. The benefits of quercetin on inflammatory reactions in LPS-induced BIECs may be a result of its capacity to inhibit the TLR4-mediated NF-κB signalling mechanism. These findings suggest that quercetin can be used as an anti-inflammatory reagent to treat intestinal inflammation induced by LPS release.

Metallocene Polyolefins Reinforced by Low-Entanglement UHMWPE through Interfacial Entanglements

By introducing low-entanglement UHMWPE, the mechanical properties of polyolefins are improved to varying degrees. For polypropylene, the lack of interaction between UHMWPE and polypropylene results in an unsatisfactory reinforcement effect, and the disentangled state makes it easier for the particles to form defects driven by a chain explosion. In contrast, regarding polyethylene and elastomer containing ethylene segments, low-entanglement UHMWPE plays a better role in reinforcement. A series of measurements including scanning electron microscopy (SEM), rheological measurements, differential scanning calorimetry (DSC), and mechanical measurement were used to investigate the mechanisms for the different enhancement effects. It originates from interdiffusion and entanglement forming of polyethylene segments across the interface, endowing the material with different aggregated and defect structures. For instance, EPDM possesses a higher optimal dosage of UHMWPE particles reflected in good interfacial interdiffusion with UHMWPE particles, leading to significant optimized mechanical performance.

Theoretical, numerical, and experimental studies on controlled synchronization strategy of four-axis variable trajectory equal-thickness screen

The four-axis variable trajectory equal-thickness screen (FAVTETS) achieves equal-thickness screening by appropriate excitation force generated by four eccentric rotors in synchronized motion. The forced synchronization exciter is characterized by an unsatisfactory synchronization effect due to the wear of transmission parts. Hence, in this paper, the four-axis controlled synchronization of FAVTETS is investigated, and an intelligent control system is proposed. Firstly, research is conducted on the variable trajectory characteristics of FAVTETS. Next, the sliding mode, fuzzy, and PID controllers are designed and compared to obtain an ideal control effect. Moreover, the influence of torsional stiffness of flexible coupling on control accuracy is considered. The results show that the sliding mode controller has a good control effect. Based on the aforementioned, the simulation model of a four-axis controlled synchronization structure is established via MATLAB/Simulink. Finally, Labview is employed to design the four-axis controlled synchronization software system. Then, the physical experiment is carried out. The four-axis controlled synchronization and vibration trajectory measurement results verify the effectiveness and robustness of the intelligent control system.

Improving the Force Display of Haptic Device Based on Gravity Compensation for Surgical Robotics

Haptic devices are applied as masters to provide force displays for telemedicinal robots. Gravity compensation has been proven to be crucial for the accuracy and capability of force displays, which are critical for haptic devices to assist operators. Therefore, the existing method suffers from an unsatisfactory effect, a complex implementation, and low efficiency. In this paper, an approach combining active and passive gravity compensation is proposed to improve the performance of a force display. The passive compensation is conducted by counterweights fixed with the moving platform and pantographs to offset most of the gravity and reduce the loads of the motors, while the peak capability of the force display is enhanced. The required weight is optimized by a multi-objective genetic algorithm in terms of the maximum torque of the motors in the global workspace. As a supplement, the residual gravity is eliminated by active compensation to extend the accuracy of the force display. The balancing forces in the discretized workspace are entirely calibrated, and the required force for the arbitrary configuration is calculated by interpolations. The decisions regarding the algorithm parameters are also discussed to achieve a compromise between the effect and elapsed time. Finally, the prototype with a compensation mechanism is implemented and experiments are carried out to verify the performance of the proposed method. The results show that the peak capability of the force display is enhanced by 45.43% and the maximum deviation is lowered to 0.6 N.

Tire Defect Detection by Dual-Domain Adaptation-Based Transfer Learning Strategy

In tire defect detection, an X-ray image sensor is utilized to collect samples, upon which automatic defect detection methods are constructed. The performance of existing defect detection methods is reduced significantly when working condition shifts. Fortunately, domain adaptation can address this domain shift problem effectively. However, previous methods only align the marginal distribution or conditional distribution, while ignoring the unified adaptation of the two distributions, and may result in an unsatisfactory transfer effect. To this end, this article proposes a dual-domain adaptation model, which harnesses the adaptation of global marginal distribution and fine-grained conditional distribution simultaneously. Specifically, to learn the feature with the consideration of intraclass compact and interclass discriminative, the relative importance of marginal distribution and conditional distribution is measured by a dynamic adaptive factor. In addition, a multihead self-attention (MSA) mechanism is designed in the feature extractor for global context modeling. To evaluate the effectiveness of the proposed method, the tire defect detection task on five kinds of familiar defects, namely slack, bend, overlap, impurity, and bubble, was constructed. Compared with other existing domain adaptation models, the proposed model can achieve 96.39% detect detection accuracy. The experimental results demonstrate the effectiveness of the proposed method in tire defect detection under the domain shift.

Machine learning for Internet of things anomaly detection under low-quality data

With the popularization of Internet of things, its network security has aroused widespread concern. Anomaly detection is one of the important technologies to protect network security. To meet the needs of automatic and intelligent detection, supervised machine learning is widely used in anomaly detection. However, the existing schemes ignore the problem of data quality, which leads to the unsatisfactory detection effect in practice. Therefore, practitioners may not know which algorithm to choose due to the lack of review and evaluation of anomaly detection methods under low-quality data. To address this problem, we give a detailed review and evaluation of six supervised anomaly detection methods, as well as release the core code of feature extractor for pcap format traffic traces and anomaly detection methods for reuse. We evaluate the methods on two public datasets (one is a simulated network dataset and the other is a real Internet of things dataset). We believe that our work and insights will help practitioners quickly understand and develop anomaly detection schemes for Internet of things and can provide reference for future research.

Design of the Jump Mechanism for a Biomimetic Robotic Frog.

Frogs are vertebrate amphibians with both efficient swimming and jumping abilities due to their well-developed hind legs. They can jump over obstacles that are many or even tens of times their size on land. However, most of the current jumping mechanisms of biomimetic robotic frogs use simple four-bar linkage mechanisms, which has an unsatisfactory biomimetic effect on the appearance and movement characteristics of frogs. At the same time, multi-joint jumping robots with biomimetic characteristics are subject to high drive power requirements for jumping action. In this paper, a novel jumping mechanism of a biomimetic robotic frog is proposed. Firstly, the structural design of the forelimb and hindlimb of the frog is given, and the hindlimb of the robotic frog is optimized based on the design of a single-degree-of-freedom six-bar linkage. A simplified model is established to simulate the jumping motion. Secondly, a spring energy storage and trigger mechanism is designed, including incomplete gear, one-way bearing, torsion spring, and so on, to realize the complete jumping function of the robot, that is, elastic energy storage and regulation, elastic energy release, and rapid leg retraction. Thirdly, the experimental prototype of the biomimetic robotic frog is fabricated. Finally, the rationality and feasibility of the jumping mechanism are verified by a jumping experiment. This work provides a technical and theoretical basis for the design and development of a high-performance amphibious biomimetic robotic frog.

Simulation of Video Image Fault Tolerant Coding Transmission in Digital Multimedia

In order to effectively improve the quality of video image transmission, this paper proposes a method of digital multimedia video image coding. The transmission of digital multimedia video image fault-tolerant coding requires sparse decomposition of a digital multimedia video image to obtain the linear form of the image and complete the transmission of video image fault-tolerant coding. The traditional method of fault-tolerant coding is based on human visual characteristics but ignores the linear form of the digital multimedia video image, which leads to the unsatisfactory effect of coding and transmission. In this paper, a fault-tolerant coding method based on wavelet transform and vector quantization is proposed to decompose and reconstruct digital multimedia video images. The smoothness of wavelet transform can remove visual redundancy; the decomposed image is vector quantized. The mean square deviation method and the similar scalar optimal quantization method are used to select and calculate the image vector, construct the over complete database of a digital multimedia video image, and normalize it; the digital multimedia video image is thinly decomposed by asymmetric atoms, and a linear representation of the image is obtained. According to the above-given operations, we can master the distribution range and law of pixels and realize fault-tolerant coding. The experimental results show that when the number of iterations is 15, the CR index is the same, PSNR increases by 8.7%, coding is 23.7% faster and decoding is 15% faster. Conclusion. The proposed method can not only improve the speed of fault-tolerant coding but also improve the quality of video image transmission.

Self-engineered lipid peroxidation nano-amplifier for ferroptosis-driven antitumor therapy

Ferroptosis has been extensively explored as a promising therapeutic target for cancer. Most ferroptosis inducers promote the intracellular accumulation of lipid peroxidation by depleting glutathione peroxidase 4 (GPX4). However, GPX4 suppression alone is not sufficient to trigger intracellular lipid peroxidation storm, resulting in inefficient ferroptosis induction and unsatisfactory antitumor effect. Herein, we precisely engineer a lipid peroxidation nano-amplifier based on a facile drug-deliver-drug (DDD) engineering strategy. Interestingly, FIN56 (a GPX4 inhibitor) is found to readily co-assemble with arachidonic acid (AA) into stable nanoparticles without the assistance of any excipients. Then, a disulfide bond-containing amphipathic PEG polymer is decorated on the nano-amplifier for long blood circulation and tumor-specific drug release. Notably, AA could not only be converted into abundant lipid reactive oxygen species (ROS) but also elicit membranous lipid peroxidation in tumor cells, synergistically inducing tumor ferroptosis with FIN56-mediated GPX4 depletion. As expected, the nano-amplifier exhibits potent ferroptosis-driven antitumor activity in 4 T1 breast tumor-bearing mice. This study drives a conceptual step forward in ferroptosis-driven nanotherapeutics, and offers a novel DDD co-delivery paradigm for combination cancer therapy.

Experience in the use of prolonged analgesic peripheral nerve blocks as part of multimodal analgesia regimens in the treatment of patients with gunshot wounds of the limbs

The use of regional analgesic techniques as part of multimodal analgesia regimens provides better control of acute pain. Effective anesthesia is one of the key tasks in the treatment of the wounded at all stages of medical care.
 Three clinical cases of the use of prolonged regional analgesic blockades as part of a multimodal analgesia regimen in the treatment of patients with gunshot wounds of the extremities are presented. Catheterizations of the perineural space of the peripheral nerves were performed using ultrasound imaging.
 Clinical case 1 - a patient with a gunshot shrapnel through wound of the left tibia with gunshot comminuted fractures of both bones of the lower third of the left tibia and the upper third of the fibula of the left tibia, was admitted two days after the injury. Performed catheterization of the perineural space of the left sciatic nerve in the popliteal fossa, constant infusion of 0.25 % bupivacaine solution at a rate of 5 ml per hour using a perfusor. A satisfactory analgesic effect was observed, narcotic analgesics were not prescribed.
 Clinical case 2 - a patient with a gunshot shrapnel through wound of the left shoulder with a gunshot comminuted fracture of the left humerus in the middle third and with damage to the neurovascular bundle, was admitted more than 6 weeks after the injury. Performed catheterization of the perineural space of the left brachial plexus interscalene access, continuous infusion of 0.25 % bupivacaine solution at a rate of 5 ml per hour using a perfusor. However, in the absence of complaints of soreness at the fracture sites and postoperative wounds, the patient began to be disturbed by neuropathic pain.Satisfactory analgesic effect was observed sporadically, narcotic analgesics were prescribed. On the second day of observation, dislocation of the catheter was detected.Considering that the patient was more concerned about pain in the distal part of the limb, catheterization of the perineural space of the left brachial plexus was performed by supraclavicular access, and a constant infusion of 0.25 % bupivacaine solution was started at a rate of 5 ml per hour using a perfusor. Satisfactory analgesic effect was observed sporadically, narcotic analgesics were prescribed.
 Clinical case 3 - a patient with a gunshot shrapnel through wound of the left thigh with a gunshot comminuted fracture of the left femur in the lower third and with damage to the popliteal artery, was admitted three weeks after the injury. Performed paravertebral catheterization of the left lumbar plexus, constant infusion of 0.25 % bupivacaine solution at a rate of 5 ml per hour using a perfusor. In combination with oral analgesic adjuvants (effect on neuropathic pain), a satisfactory analgesic effect was observed without the prescription of narcotic analgesics.After repeated surgical treatment with the installation of the VAC-system on the posterior surface of the thigh, an unsatisfactory effect of non-opiate analgesia was observed, and narcotic analgesics were additionally prescribed.

Compulsory v. Voluntary Merger Notification Mechanism: Implications of China’s Enforcement for Young Competition Jurisdictions

The internationally dominant compulsory notification mechanism under merger control aims to remedy anti-competitive harm by blocking or conditionally approving mergers ex ante. However, such a mechanism is not free from disadvantages. As an alternative, the voluntary notification mechanism, though superficially producing fewer deterrence effects, is in effect no worse than the compulsory mechanism (CM), given its significantly less implementation costs. In order to examine which mechanism suits a given jurisdiction, it is necessary to evaluate the costs and benefits for the implementation of such a mechanism. The enforcement of the CM in China can be argued to present insufficient benefits and high costs, due to the extreme low proportion of blocked and conditional approved cases, as well as the unsatisfactory deterrence effect, and the significant constraints by implementing resources, in particular human capital. Such a particular situation in China implies that the voluntary mechanism (VM) might be advisable to be a more feasible option for young competition jurisdictions. Merger Control, Compulsory Notification, Voluntary Notification, Cost and Benefit Analysis, Young Antitrust Jurisdictions

The value of immunotherapy in children with initial short-term frequent seizures.

This study aimed to discuss clinical characteristics, therapy, and antibody prevalence in epilepsy (APE) score for short-term, frequent epileptic seizures in children who are autoimmune-antibody negative and respond well to immunotherapy. The clinical characteristics, imaging manifestations, electrophysiology, and effective treatment plan of 9 children who met the above criteria were retrospectively analyzed in the Pediatric Neurology Department of Qilu Hospital at Shandong University from June 2019 to December 2021. All 9 patients (6 boys, 3 girls; aged 13 months−11 years and 5 months, median 3.5 years) had acute-onset seizures within 3 months. All had previous normal growth/development with no family history of disease. Seizure types were focal motor seizures (6), generalized tonic-clonic seizures (2), and generalized secondary-to-focal (1); occurred >10 times/day; and lasted <1 min/episode. Formal treatment with ≥2 types of antiseizure medicine (ASM) achieved an unsatisfactory effect. Cranial magnetic resonance imaging showed an abnormal result in 1 case. The APE score was ≥4 in 3 cases and <4 in 6 cases. All patients experienced symptomatic relief with immunotherapy; subsequently, 8 patients were free of recurrence and 1 had significantly reduced seizure frequency. Autoimmune antibody screening is recommended for children who were previously well and have acute-onset epilepsy; high frequency, short-duration seizures; no good response to 2 types of ASM; and other etiologic factors excluded, even with APE score <4. Even with negative autoimmune antibody results, the possibility of autoimmune epilepsy should be considered for urgent initiation of immunotherapy, which can achieve good results.

Interleukin-1 receptor antagonist anakinra as treatment for paradoxical responses in HIV-negative tuberculosis patients: A case series

Paradoxical inflammatory responses can occur during microbiologically successful antituberculous therapy. Optimal treatment is unknown, but corticosteroids are used most often. It is likely that interleukin-1 (IL-1) plays a central role in the development of these paradoxical responses, and if corticosteroids fail or are undesirable because of adverse effects, anti-IL-1 therapy may therefore be a rational choice. We present seven HIV-negative tuberculosis patients with paradoxical responses, two with exclusively pulmonary and five with extrapulmonary tuberculosis. All had received corticosteroids, with unsatisfactory effect. Patients were treated with the IL-1 receptor antagonist anakinra and monitored for reduction of fever and inflammatory markers, imaging evidence of stabilization or regression of lesions, and respiratory improvement. Six patients had anemia and four patients had lymphopenia at the start of the antituberculosis treatment. Fever was present in six patients at the moment of paradoxical response. Anakinra resulted in the decrease of fever within days, followed by resolution of symptoms and radiological improvement in five patients. Anakinra induced neutropenia, necessitating its cessation in two patients, who recovered quickly afterward. Anakinra can be considered in HIV-negative tuberculosis patients with paradoxical responses when steroids fail or are undesired. Given its favorable safety profile and reversible side effects, it is conceivable that anakinra might also be used as first-line adjuvant treatment for paradoxical responses. A.v.L. and R.v.C. are supported by National Institutes of Health (R01AI145781).

Adjustable Capacity Evaluation Method Based on Step-by-Step Power Mapping of Offshore Wind Farms

Offshore wind power has developed rapidly in recent years, but its scale still lags far behind onshore wind power. Offshore wind power still has great development potential. One of the key factors restricting the development of offshore wind power is the unsatisfactory control effect of offshore wind farms, and the reason is that the adjustable capacity of the wind farm cannot be obtained accurately and quickly. Aims to meet the high precision requirements for adjustable capacity evaluation of offshore wind farms, this paper establishes a step-by-step power mapping framework based on the division of power transmission processes in offshore wind farms, considering the loss of each transmission process in detail. By establishing a step-by-step mapping from the wind turbine power to the injected power at the grid connection point of the offshore wind farm, the adjustable capacity of the offshore wind farm can be estimated based on the maximum theoretical power of the wind turbines. The performance of proposed method has been demonstrated in a real offshore wind farm.

3D‐FEGNet: A feature enhanced point cloud generation network from a single image

Deep learning-based single view 3D reconstruction is a hot topic in computer vision. However, predicting a more realistic 3D point cloud from a single image is an ill-posed problem. In recent years, most of the 3D point cloud prediction methods based on single view are straight-through structure, which will cause the loss of part of feature information and the loss of part of detail information of the resulting point clouds, which will lead to the unsatisfactory visual effect of reconstructed point clouds. In this paper, a Feature-Enhanced 3D point clouds generation Network (3D-FENet) from a single image is proposed. In order to enhance the feature information of RGB image, edge extraction module is adopted. In the process of point cloud generation, a point cloud pyramid is designed, which combines low resolution point cloud with high resolution point cloud to enhance the local details of the generated point clouds. In the fine-tuning stage, the differential projection module is used to fine-tune the whole network by 2D projection of reconstructed point clouds. Experimental results show that the performance of the authors’ proposed method is better than the state-of-the-art studies.

Design of College English News Listening Teaching System Based on Improved SPOC by using IoT

Due to the limitation of actual teaching conditions, limited resources, and unsatisfactory teaching effect, a hybrid teaching system of college English news listening course based on improved SPOC is proposed. The hardware environment is made up of 5 servers and 3 switches, and the hardware service resource is optimized by SPOC cloud deployment. The cough relieving mechanism based on evaluation level is built inside the system. The objective of this study designs and implements a research on the application of the improved SPOC hybrid teaching system in college English listening teaching. The test results show that the design system can effectively improve students’ learning performance and enthusiasm and initiative and, to some extent, improve students’ listening learning habits.

Optimization of Skipping Rope Training Method Based on Chaotic Logistics

Skipping training belongs to a competitive event, which can not only lose weight but also improve the physical quality of trainers. At present, there are some problems in skipping training, such as unreasonable plan and unsatisfactory actual training effect. The original rough set method cannot solve the analysis of multivariate data in skipping training, and the ability to evaluate the training effect of skipping is poor. Aiming at the problems existing in the training of skipping rope, this paper puts forward a skipping rope training method based on a chaotic logistics algorithm, aiming at improving the training effect of skipping rope. First, the chaos theory is used to classify the training data. Different data classifications correspond to different training results, which eliminates irrelevant information in the training scheme and reduces the amount of single data analysis. Finally, the data after classification are optimized in a single stage, and the optimal results of different training items are obtained and summarized. After the MATLAB test, the chaotic logistics algorithm is superior to the rough set method in accuracy and convergence speed and meets the actual training needs. Therefore, the chaotic logic analysis method proposed in this paper is suitable for the evaluation of skipping training.

Study of the effectiveness of interferon gamma therapy and evaluation of its effect on the level of cytokines in patients with chronic polypous rhinosinusitis

Background. Chronic polyposis rhinosinusitis is characterized by an immune-dependent type of polyp formation with a defect in local protective factors. The use of local immunomodulators will improve immune protection in the nasal cavity.&#x0D; Aim. To study cytokine levels in nasal secretion and blood serum in patients with chronic polyposis rhinosinusitis after therapy with interferon gamma.&#x0D; Material and methods. To study immunological indices, 32 patients with chronic polyposis rhinosinusitis, who were treated with intranasal interferon gamma, and 30 healthy people (control group) were examined. In the group of patients with the disease, the levels of interleukins-4, -10 and -18, tumor necrosis factor , and secretory immunoglobulin A were determined in the nasal secretion and blood serum before treatment and 1 month after it. Statistical analysis of the results was performed using the Statistica 12.0 software package. The test for normality of distribution in the sample was carried out using the ShapiroWilk test. Most of the parameters did not have a normal distribution; therefore, nonparametric statistical methods were used for further analysis. The description of the results obtained in the study was carried out by calculating the median (Me) and the interquantile range in the form of the 25th and 75th percentiles (Q0.25 and Q0.75). Comparative analysis of quantitative signs in independent groups was performed according to the MannWhitney test, in dependent groups using the Wilcoxon method. Differences were considered significant at p 0.05.&#x0D; Results. Clinical efficacy was assessed according to a 4-point scale: excellent treatment result, good result, satisfactory and unsatisfactory. A good effect of the therapy was 78.1% (25 patients). Unsatisfactory effect was registered in 7 (21.9%) patients. After treatment, a decrease in the content of interleukin-4 (p2=0.000034), interleukin-18 (p2=0.000075), an increase in the level of interleukin-10 (p2=0.033), a decrease in the amount of secretory immunoglobulin A in the nasal secretion (p2=0.0001) took place. The levels of tumor necrosis factor in blood serum were reduced both before treatment compared with the control group (p1=0.005) and after therapy (p2=0.000075).&#x0D; Conclusion. An increase in the content of interleukin-10 in the nasal secretion and a decrease in the level of proinflammatory cytokines interleukin-18, tumor necrosis factor and interleukin-4 in the blood serum after treatment with interferon gamma in patients with chronic polyposis rhinosinusitis may indicate a decrease in the activity of immune inflammation in the nasal cavity.