Effectiveness Of Module Research Articles

(076) IMPACT OF AN ONLINE EDUCATION INTERVENTION ON HEALTHCARE PROVIDERS' SELF-EFFICIENCY FOR ASSESSMENT AND CARE OF CLIENTS EXPERIENCING FEMALE SEXUAL DYSFUNCTION

Abstract Introduction In the United States, nearly half of all women will report having at least one type of female sexual dysfunction at any given point in their lives. Female Sexual Dysfunction (FSD) is defined as a disturbance in sexual desire, psychophysiological changes that characterize the sexual response cycle, and marked sexual distress and interpersonal difficulty. Most women feel their healthcare provider should discuss their sexual concerns, yet few report being asked or screened about their sexual health. Women may seek care to address their sexual health concerns because sexual concerns can affect their quality of life. Objective The specific aim of this study was to evaluate the effectiveness of an online educational intervention about female sexual dysfunction on the knowledge and self-efficacy of healthcare providers. Methods The project is a single-arm effectiveness study that used a pre-test/post-test design, aiming to improve self-efficacy of physicians, physician assistants, nurse practitioners, and certified nurse-midwives who provide gynecological care. Participants were recruited via convenience and snowball sampling. The participants provided demographic and pre-test data before viewing the educational intervention and completed the post-test immediately following. Results Forty-three participants completed responses to the entire questionnaire, including pre and post-test. The majority of participants identified as female (91%), Caucasian (51%), nurse practitioners (81%) providing gynecological care for 6-15 years (53%) and live in the South (58%). Following the intervention, participants demonstrated a significant increase in confidence in their ability to communicate about sex with older adults (p < 0.001, d 0.51) and with those who have differing sexuality from their own (p <0.00, d 0.53). There was an increase in confidence in the knowledge to care for patients with religious/spiritual convictions about sexuality (p < 0.006, d 0.40) and sexual problems related to a medical, pharmacological, or surgical treatment (p < 0.009, d 0.38). Participants reported fewer learning needs following the educational module with a moderate to large effect size across different competencies. Conclusions Educating health care providers using an online educational module may lead to more confidence in the healthcare providers’ communication with, knowledge of, and attitudes related to female sexual concerns. Healthcare providers can provide the necessary support and care for the women they serve by educating themselves to properly obtain sexual health history screening, physical exams, diagnoses, and treatment options. Online educational modules have enhanced healthcare providers' knowledge on various topics. The results of this study can be useful in creating education for healthcare providers in caring for FSD. Further studies are needed to determine the long-term effect of online education modules on the screening of female sexual dysfunction, attitudes and behaviors, effect on the self-efficacy of healthcare providers. Disclosure No.

Erratum to "The Effectiveness of a Drug Abuse Prevention Module Based on Self-Assertiveness, Spirituality and Belief in the Detriments of Drug Abuse (MPDASK)" [Islamic Guidance and Counseling Journal 6(2) 2023

Refers to:Shafie, A. A. H., Walid, D. A., Aziz, A. R. B. A., Yassin, N. M., Baharudin, D. F. B., Othman, K., Jaladin, R. A. B. M., Amat, S., & Wahab, S. (2023). The Effectiveness of a Drug Abuse Prevention Module Based on Self-Assertiveness, Spirituality and Belief in the Detriments of Drug Abuse (MPDASK). Islamic Guidance and Counseling Journal, 6(2). https://doi.org/10.25217/0020236387500 Erratum:The authors requested a revision in the original publication of this article. Specifically, at the acknowledgment, the following statement: This research is funded by the Ministry of Higher Education of Malaysia through the Long-Term Research Grant Scheme (LRGS)—Project Group 6, entitled 'Development of Psychospiritual Based Prevention Module for Drug-Free Community' Universiti Sains Islam Malaysia (USIM) grant code number: USIM/LRGS/ FKP/50119. This research project is part of the LRGS project 'Fostering Long-term Change to Create Drug-Free Community in Malaysian Youth: Understanding the Trajectories and Genetics in the Development of Effective Prevention and Intervention Model with Smart Geo-Spatial Apps Monitoring' (JPT grant code number LRGS/1/2019/UKM-USIM/02/2/6); in collaboration with researchers from Asian Centre for Research on Drug Abuse, Universiti Sains Islam Malaysia, and other team researchers from Universiti Kebangsaan Malaysia, Universiti Malaya, Universiti Pendidikan Sultan Idris, and Universiti Malaysia Terengganu. Amended to:This research is funded by the Ministry of Higher Education of Malaysia through the Long-Term Research Grant Scheme (LRGS) project of ‘Fostering Long-term Change to Create Drug-Free community in Malaysian Youth: Understanding the Trajectories and Genetics in the Development of Effective Prevention and Intervention Model with Smart Geo-Spatial Apps monitoring’ (JPT grant code number LRGS/1/2019/UKM/02/2/6); in collaboration with researchers from Asian Centre for Research on Drug Abuse, Universiti Sains Islam Malaysia, and other team researchers from Universiti Kebangsaan Malaysia, Universiti Malaya, Universiti Pendidikan Sultan Idris and Universiti Malaysia Terengganu. This project entailed Project Group 6 - with the title ‘Development of Psychospiritual Based Prevention Module for Drug-Free Community’ USIM grant code number: USIM/LRGS/FKP/50119. This correction has been implemented in the original article.

A Study to Evaluate the Effectiveness of Self-instructional Module on Knowledge Regarding Risk factors and prevention of Peptic Ulcer Disease Among Adults in a Selected Rural Areas of Udaipur

Background and Objectives: Prevention of peptic ulcer disease is an important determinant of health over the course of life. The early years of life are a period of considerable opportunity for growth or vulnerability to harm. Therefore, it is of great importance that an adult should be aware about the risk factors and various ways to prevent peptic ulcer disease as possible This study aimed to assess the knowledge of adults regarding risk factors and prevention of peptic ulcer disease among selected rural areas of Udaipur. Method: A pre-experimental one group pre-test post-test design was adopted. The study involved 50 adults with in a selected rural area at Udaipur. Data collection included pre-test and post-test assessments of knowledge, demographic surveys, and statistical analysis to evaluate knowledge changes and associations. The self-instructional module was distributed and covered the following areas like: Introduction, Definition, Causes, Risk factors & Prevention. The effectiveness was measured by comparing pre-test and post-test scores, and associations were analyzed using chi-square tests. Results: The data revels that 60% of adult had inadequate knowledge, 24% had moderately adequate knowledge and only 16% had adequate knowledge in pre-test and that 68% had adequate knowledge 14% had moderately adequate knowledge and only 18% had inadequate knowledge in post-test. After the intervention, majority (34%) of adults had good knowledge level whereas during pre-test only (8%) of adults had good knowledge Before intervention the mean knowledge score was 20.22. After intervention, the mean knowledge score was increased to 22.37. Statistically there was a significant difference in the mean knowledge score before and after the intervention (t = 10.95*, df = 19, P<0.05). Hence the hypothesis, there will be a significant difference in the pre and post-test mean knowledge score after the intervention was accepted. The data concluded that, there was a significant increase in the mean knowledge score after intervention because of self-instructional module Interpretation and Conclusion: The study revealed that the self-instructional module was effective in improving the knowledge regarding the prevention of peptic ulcers Keywords: Peptic Ulcer Disease, Self-Instructional Module, Knowledge, Risk factor

Ethnopedagogy-based Thematic Modules to Improve the Understanding and Cultural Literacy of Elementary School Students

The decline in students' local cultural knowledge and the decline in the level of understanding of students' concepts in thematic learning are problems that need to be overcome. This study aimed to develop a thematic learning module based on ethnopedagogy to enhance understanding and cultural literacy of the fifth-grade elementary school students. This research utilized an R&D method adopting the ADDIE model, which consisted of five stages (Analysis, Design, Development, Implementation, and Evaluation). The instrument used to collect data in this study was a questionnaire. This questionnaire was given to several experts, such as the design experts, material experts, and language experts, to see the feasibility of the module as well as the teachers’ and students’ responses to see the practicality of the module. Then, a test and a questionnaire were administered to examine the effect of the ethnopedagogy-based thematic learning module on students' understanding and cultural literacy. The data were then analyzed both qualitatively and quantitatively. Furthermore, the effectiveness of the module was analyzed using Multivariate Analysis of Variance (Manova). This study suggested that the ethnopedagogy-based thematic learning module fulfilled the very feasible criteria with an average score of 93.61% from the design validator, 93.26% from the material validator, and 91% from the language validator. Furthermore, from the response given by the teachers, a score of 92.65% was obtained with a very attractive category. Then, the small-scale trial conducted on students obtained a score of 96.67% with a very attractive category. Apart from that, the thematic learning module based on ethnopedagogy was also able to improve the understanding and cultural literacy of the fifth-grade elementary school students, as proven by the results of the product effectiveness test using the Manova test which obtained a significance value of 0.00 < 0.05.

Effect of an endothelial regulatory module on plasma proteomics in exercising horses

Elite performing exercise requires an intricate modulation of the blood pressure to support the working muscles with oxygen. We have previously identified a genomic regulatory module that associates with differences in blood pressures of importance for elite performance in racehorses. This study aimed to determine the effect of the regulatory module on the protein repertoire. We sampled plasma from 12 Coldblooded trotters divided into two endothelial regulatory module haplotype groups, a sub-elite performing haplotype (SPH) and an elite performing haplotype (EPH), each at rest and exercise. The haplotype groups and their interaction were interrogated in two analyses, i) individual paired ratio analysis for identifying differentially abundant proteins of exercise (DAPE) and interaction (DAPI) between haplotype and exercise, and ii) unpaired ratio analysis for identifying differentially abundant protein of haplotype (DAPH). The proteomics analyses revealed a widespread change in plasma protein content during exercise, with a decreased tendency in protein abundance that is mainly related to lung function, tissue fluids, metabolism, calcium ion pathway and cellular energy metabolism. Furthermore, we provide the first investigation of the proteome variation due to the interaction between exercise and related blood pressure haplotypes, which this difference was related to a faster switch to the lipoprotein and lipid metabolism during exercise for EPH. The molecular signatures identified in the present study contribute to an improved understanding of exercise-related blood pressure regulation.

Soliton synchronization in microresonators with a modulated pump.

Microresonator frequency comb generation from Kerr solitons has become a cutting edge technology, but challenges remain in creating, maintaining, and controlling the solitons. Pump modulation and dual pumping are promising techniques for meeting these challenges. Here we derive the equationof motion of solitons interacting with a modulated pump in the framework of synchronization theory. It implies that the soliton repetition rate locks to the modulation frequency whenever the latter is within a locking range of frequencies around an integer multiple of the free spectral range of the microresonator. We calculate explicitly, numerically, and in perturbation theory the width of the locking range as a function of the amplitude and frequency of the pump and the modulation phase. We show that a highly red-detuned, strong pump that is amplitude-modulated provides the best conditions for entrainment, and that the width of the locking range is proportional to the square of the modulation frequency, limiting the effectiveness of RF modulation as an entrainment method.

A Study to Evaluate the Effectiveness of Self Instructional Module (SIM) on Cardiac Rehabilitation (CR) among post Myocardial Infarction (Ml) Patients Attending Cardiac Outpatient Department in Selected Hospitals in Udaipur

A Study to Evaluate the Effectiveness of Self Instructional Module (SIM) on Cardiac Rehabilitation (CR) among post Myocardial Infarction (Ml) Patients Attending Cardiac Outpatient Department in Selected Hospitals in Udaipur

Customised product design optimisation considering module synergy effects and expert preferences

ABSTRACT Fierce marketing competition and varied customer requirements on products make a lot of companies transfer to the customisation strategy. However, customers may be overwhelmed by the vast assortment of products and options. This paper proposes a methodology aimed at optimising the range of customised product varieties considering synergy effects of modules and preferences of experts. The methodology outlines key steps required for a successful customised product configuration. Firstly, a questionnaire based on the Kano model is designed to identify customer preferences for product module customisation. The potential customers can be segmented based on the distance among their multidimensional preferences. Secondly, within each segmented market, the customer satisfaction function that considers module synergies is established using the quantified Kano model and coefficient matrix. Thirdly, the cost function that considers experts' preferences is established based on the prospect theory. Finally, a bi-objective optimisation model is formulated to maximise customer satisfaction and minimise cost under technical constraints. Pareto solutions are obtained by solving the model with the non-dominated sorting genetic algorithm II (NSGA-II). Modules and attributes available to customers can be determined by the solutions. An illustrative example of modular laptop computers confirms the methodology's effectiveness in optimising product configuration.

The Effectiveness of an Online Training Module for Pre-Service and In-Service Teachers: A Case Study

The Effectiveness of an Online Training Module for Pre-Service and In-Service Teachers: A Case Study

The effectiveness of cardiac contractility modulation: results of two-year follow-up

Aim. To evaluate the survival and dynamics of clinical and instrumental data in patients with chronic heart failure (CHF), atrial fibrillation (AF) and cardiac contractility modulation (CCM).Methods. There were included 54 patients (40 men, median age 59.7 [56.6; 63.9] years) with signs of CHF II (n=27, 50%) functional class and III (n=27, 50%) NYHA functional class, significantly decreased left ventricular ejection fraction (LVEF=30 [24,7; 35,5]%), LV dilatation and paroxysmal (n=27, 50%) or permanent (n=27, 50%) AF. In all patients, devices for CCM were implanted. The dynamics of clinical and instrumental parameters were assessed in 2, 6, 12 and 24 months after implantation. The actual survival patients with CCM was compared with the predicted survival calculated using the Seattle model of heart failure and MAGGIC risk score.Results. In 14 (28%) of patients CCM resulted in significantly increased clinical, echocardiographic parameters (increase in LVEF by 15 [11; 20]%, decrease in end-systolic volume by 68,5[37.5;104.5] ml and end-diastolic volume by 44 [30,100] мл), increase in walking distance during 6-minute walking test and decrease of NT-proBNP. The only factor significant for maximal response was non-ischemic etiology of CHF (χ2=4.54, p=0.034). During 2 years 21 (42%) patients died. The all-cause mortality in patients with CCM to the first year of observation was 16%, two-year all-cause mortality - 40%. These figures turned out to be significantly higher than predicted according to the Seattle model (χ2=10.93, p=0.001). The predicted and actual risk of death at 12-month follow-up turned out to be comparable when assessing survival parameters according to the MAGGIC scale. (χ2=2.24, p=0.134).Conclusion. CCM therapy in some patients with CHF of non-ischemic etiology can lead to an improvement of all clinical and instrumental characteristics. At the same time, there is no effect of CCM on the prognosis of patients with CHF. This fact may suggest the need of additional studies with increased number of cases.

DMGM: deformable-mechanism based cervical cancer staging via MRI multi-sequence * *This work was financially aided by the Natural Science Foundation of China (U1934221, 61773323), and Sichuan Science and Technology Program (2019YFG0345, 2019YJ0210).

Objective. This study aims to leverage a deep learning approach, specifically a deformable convolutional layer, for staging cervical cancer using multi-sequence MRI images. This is in response to the challenges doctors face in simultaneously identifying multiple sequences, a task that computer-aided diagnosis systems can potentially improve due to their vast information storage capabilities. Approach. To address the challenge of limited sample sizes, we introduce a sequence enhancement strategy to diversify samples and mitigate overfitting. We propose a novel deformable ConvLSTM module that integrates a deformable mechanism with ConvLSTM, enabling the model to adapt to data with varying structures. Furthermore, we introduce the deformable multi-sequence guidance model (DMGM) as an auxiliary diagnostic tool for cervical cancer staging. Main results. Through extensive testing, including comparative and ablation studies, we validate the effectiveness of the deformable ConvLSTM module and the DMGM. Our findings highlight the model’s ability to adapt to the deformation mechanism and address the challenges in cervical cancer tumor staging, thereby overcoming the overfitting issue and ensuring the synchronization of asynchronous scan sequences. The research also utilized the multi-modal data from BraTS 2019 as an external test dataset to validate the effectiveness of the proposed methodology presented in this study. Significance. The DMGM represents the first deep learning model to analyze multiple MRI sequences for cervical cancer, demonstrating strong generalization capabilities and effective staging in small dataset scenarios. This has significant implications for both deep learning applications and medical diagnostics. The source code will be made available subsequently.

Effectiveness of Quantitative Research Methods Course Module in Fostering Students' Academic Literacy

Effectiveness of Quantitative Research Methods Course Module in Fostering Students' Academic Literacy

Signal separation of simultaneous dual-tracer PET imaging based on global spatial information and channel attention

BackgroundSimultaneous dual-tracer positron emission tomography (PET) imaging efficiently provides more complete information for disease diagnosis. The signal separation has long been a challenge of dual-tracer PET imaging. To predict the single-tracer images, we proposed a separation network based on global spatial information and channel attention, and connected it to FBP-Net to form the FBPnet-Sep model.ResultsExperiments using simulated dynamic PET data were conducted to: (1) compare the proposed FBPnet-Sep model to Sep-FBPnet model and currently existing Multi-task CNN, (2) verify the effectiveness of modules incorporated in FBPnet-Sep model, (3) investigate the generalization of FBPnet-Sep model to low-dose data, and (4) investigate the application of FBPnet-Sep model to multiple tracer combinations with decay corrections. Compared to the Sep-FBPnet model and Multi-task CNN, the FBPnet-Sep model reconstructed single-tracer images with higher structural similarity, peak signal-to-noise ratio and lower mean squared error, and reconstructed time-activity curves with lower bias and variation in most regions. Excluding the Inception or channel attention module resulted in degraded image qualities. The FBPnet-Sep model showed acceptable performance when applied to low-dose data. Additionally, it could deal with multiple tracer combinations. The qualities of predicted images, as well as the accuracy of derived time-activity curves and macro-parameters were slightly improved by incorporating a decay correction module.ConclusionsThe proposed FBPnet-Sep model was considered a potential method for the reconstruction and signal separation of simultaneous dual-tracer PET imaging.

The Effect of Digital-Based Interactive Modules to Improve Student’s Critical Thinking Skills and Learning Motivation on Biology Learning

Biology learning is learning that requires teaching materials that can facilitate the delivery of abstract and complex material. This research aims to determine the effect of digital-based interactive modules on students' critical thinking skills and learning motivation at SMA Negeri 9 Bengkulu City. This research is a type of Quasi-Experimental research. The sample used in collecting research data was 65 students taken from class X MIPA 2 as the experimental class and X MIPA 3 as the control class. The instruments used were critical thinking skills test sheets and student learning motivation questionnaires. The results showed that students' critical thinking skills and learning motivation were better compared to the control class. This is shown by the significance value for these two variables, namely 0.00 0.05. The results of this research confirm that the use of teaching materials in the form of interactive digital modules in biology learning is effective in facilitating students to develop their thinking skills. The use of teaching materials that utilize technology will foster students' learning motivation because they are considered relevant to students' learning needs in the current technological era.

Impact of deposition temperature on persistent photoconductivity of SnO2 thin films deposited using spray pyrolysis technique suitable in optoelectronic synaptic devices

In this study, nanocrystalline tin oxide thin films that exhibited enhanced persistent photoconductivity (PPC) were prepared using spray pyrolysis technique. The effect of deposition temperature on different aspects of photoconductivity of these films were analysed using different characterization techniques. Raman analysis confirmed the tetragonal rutile structure of the films and also indicated their nanocrystalline nature, while XPS analysis verified the presence and oxidation states of tin and oxygen in the films. The films demonstrated UV sensing capability under above-bandgap illumination, generating electron-hole pairs and enhancing electrical conductivity. The deposition temperature of the film influenced their photocurrent characteristics, showcasing varied responses in terms of photosensitivity and photocurrent. Enhancement of photoresponse was observed with the increase in deposition temperatures of the samples. Notably, films deposited at 450 and 500 °C exhibited the more persistent photocurrent at the tested deposition temperatures. The surface defects, oxygen vacancies and grain boundaries played a significant role in sustaining PPC by ionizing vacancies and creating persistent carriers even after light exposure by trapping free carriers and impeding recombination. From the exponential fitting and extrapolation of the decay curves, the sample prepared at 450 °C was observed to be the most suitable film in application point of view for fabricating devices that make use of persistent photoconductivity. Overall, this work highlights the effectiveness of modulation of deposition temperature in influencing photoconductor parameters of spray pyrolyzed tin oxide films, offering potential applications in non-volatile memory, bionic optoelectronics, neuromorphic computing and bioelectronics.

Automated BIM-to-scan point cloud semantic segmentation using a domain adaptation network with hybrid attention and whitening (DawNet)

Deep learning-based point cloud semantic segmentation facilitates scene understanding and BIM modelling, but its success requires vast amount of labelled point clouds, which is laborious and time-consuming. To reduce point cloud annotation cost, researchers attempt to leverage synthetic point clouds, but the domain gap between synthetic and real point clouds deteriorates the segmentation accuracy. To address this issue, this study develops a BIM-to-Scan point cloud semantic segmentation approach to mitigate the domain gap between BIM and real point clouds, improving the segmentation performance on real point clouds. To this end, this study starts by proposing a BIM-based point cloud generation method, which uses FME and BIM models to automatically generate and label synthetic point clouds, decreasing the annotation cost. To fill the domain gap, a DawNet is invented by integrating a domain adaptation network with ZCA whitening operation and hybrid attention mechanism. Specifically, ResPointNet++ is used to extract geometric features and execute the segmentation task, which is then combined with a domain discriminator to perform domain adversarial learning, aligning the data distribution of BIM and real point clouds. To improve the performance of the DawNet, a residual learning block with whitening and a hybrid attention module are designed. These two modules help extract and exploit domain-invariant features to boost the generalisation and segmentation performance of the DawNet. Finally comprehensive experiments show that the proposed BIM-based method spends 0.5 person-hours to generate 0.45 billion labelled BIM point clouds, and that the developed DawNet achieves 17% and 11% more mIoU than ResPointNet++ and DANN. The ablation study also confirms the effectiveness of the hybrid attention module and ZCA whitening operation.

Evaluating a Trauma-Informed Care Training Program for Mental Health Clinicians

The aim of this study was to evaluate the interRAI Trauma-Informed Care (TIC) training program based on evidence-informed Collaborative Action Plans. Focus groups and the Attitude Related Trauma-Informed Care (ARTIC) questionnaire addressed clinicians’ and mental health professionals’ attitudes toward the application of TIC with their child and youth clients. An explanatory sequential design was conducted. In total, 105 clinicians and mental health professionals who participated in a 4-hour, in-person or virtual TIC training, two comprehensive seminars, and 28 trauma-informed training web-based modules completed the ARTIC questionnaire. Researchers conducted seven focus groups with clinicians/participants (N = 23) to discuss the views and effectiveness of the interRAI TIC educational training modules. To quantitatively measure the change of attitudes towards TIC, descriptive statistical analysis was completed using the means and standard deviation of the ARTIC scores at the initial time point, the follow-up time point, and the difference between scores at both time points. Paired sample t-tests were conducted on both the overall score and each of the subscales in each of the three samples (total sample, online subsample, and hybrid subsample). A thematic analysis was conducted to generate qualitative findings from the focus groups. Findings from the quantitative and qualitative analyses suggest that the interRAI TIC training provided clinicians with an improved sense of knowledge and ability to apply trauma-informed care planning with their clients.

Advanced Patch-Based Affine Motion Estimation for Dynamic Point Cloud Geometry Compression.

The substantial data volume within dynamic point clouds representing three-dimensional moving entities necessitates advancements in compression techniques. Motion estimation (ME) is crucial for reducing point cloud temporal redundancy. Standard block-based ME schemes, which typically utilize the previously decoded point clouds as inter-reference frames, often yield inaccurate and translation-only estimates for dynamic point clouds. To overcome this limitation, we propose an advanced patch-based affine ME scheme for dynamic point cloud geometry compression. Our approach employs a forward-backward jointing ME strategy, generating affine motion-compensated frames for improved inter-geometry references. Before the forward ME process, point cloud motion analysis is conducted on previous frames to perceive motion characteristics. Then, a point cloud is segmented into deformable patches based on geometry correlation and motion coherence. During the forward ME process, affine motion models are introduced to depict the deformable patch motions from the reference to the current frame. Later, affine motion-compensated frames are exploited in the backward ME process to obtain refined motions for better coding performance. Experimental results demonstrate the superiority of our proposed scheme, achieving an average 6.28% geometry bitrate gain over the inter codec anchor. Additional results also validate the effectiveness of key modules within the proposed ME scheme.

A novel MO-YOLOv4 for segmentation of multi-class bridge damages

Most studies of multi-class damage segmentation overlook two prominent and critical challenges: the substantial variations in damage scale and the susceptibility of network training to background interferences. As a consequence, achieving the desired performance in multi-class damage segmentation becomes a difficult task. To tackle these challenges, a novel multi-class damage segmentation method, MO-YOLOv4, is proposed based on the widely used YOLOv4 structure. MO-YOLOv4 incorporates the Multi-Scale Attention (MSA) module to greatly enhance the feature extraction ability for multi-class damages, and employs the Oriented Bounding Box (OBB)-based segmentation strategy for effectively reducing the influence of background interferences during the network training phase. The effectiveness of the MSA module and OBB-based segmentation strategy is validated through verification and ablation experiments. In the comparative study, the Mean Precision rate (MP), Mean Recall rate (MR), Mean F1-score (MF) and Mean Intersection over Union rate (MIoU) of the proposed MO-YOLOv4 reach up to 82.49%, 72.73%, 77.04% and 64.28%, respectively, indicating the superior level of segmentation performance offered by MO-YOLOv4 in comparison to the mainstream semantic segmentation methods for multi-class damages.

Use of non-invasive mesodiencephalic brain modulation for enhancing stress resistance in athletes

BACKGROUND: During many years of intensive training, professional athletes may experience manifestations of stress due to significant physical and emotional stress, which require corrective measures. AIM: The aim of the study is to evaluate the effectiveness of mesodiencephalic modulation of the brain to increase stress resistance in athletes. MATERIALS AND METHODS: A prospective study was conducted, in which 57 athletes of complex coordination sports took part, of which 42 were girls and 15 were young men, the average age of the subjects was 18 ± 5,4 years. Two groups were formed: main (n = 35) and control (n = 22). To assess the functional capabilities of the body, all subjects included in the study were assessed for nonspecific adaptation responses by the percentage of lymphocytes and the ratio of leukogram elements in peripheral blood, and the level of adaptation and anxiety was assessed using structured questionnaires. Athletes of the main group (n = 35) underwent a course of mesodiencephalic modulation of the brain. RESULTS: The increase in adaptation capabilities in the control group was due to an increase in the frequency of the increased activation reaction, and in the main group — a calm activation reaction, which, in the presence of stress, is a more favorable adaptation state. CONCLUSIONS: The use of non-invasive mesodiencephalic modulation of the brain to increase stress resistance in athletes is advisable. Course of mesodiencephalic modulation of brain by cycle consisting of 10 procedures, duration 30 min, average intensity — 1.19 mA, allows to reduce level of psychoemotional tension, to improve general well-being, to increase speed of recovery processes after training. The course of mesodiencephalic modulation contributed to an increase in the adaptation capabilities of the body of athletes.