High Level Of Confidence Research Articles

Pseudo-Label Guided Sparse Deep Belief Network Learning Method for Fault Diagnosis of Radar Critical Components

Effective fault diagnosis of critical components is essential to ensure the safe and reliable operation of the entire system. This paper deals with the fault diagnosis of transmitter/receiver module, which is a critical component in the phased array radar system, by proposing a novel deep belief network learning method. A sparse deep belief network based on Gaussian function is first constructed to automatically learn the relationship between monitoring data and component health conditions. With the trained sparse deep belief network, the pseudo-labels are produced for unlabeled samples, while the information entropy is employed to calculate the confidence levels reflecting their certainty to reduce the effect of pseudo-label noise. The pseudo-labeled samples with high confidence levels are added to the training set to retrain the network. Optimal model configuration parameters are obtained through a chaos game optimization algorithm. The effectiveness of the proposed method is verified on a real-world dataset from a certain type of phased array radar. The experiments show that the mean identification rate of this method can reach 96.33%, which not only exceeds some deep belief network-based modeling methods, but also exceeds other intelligent methods.

Detecção da diversidade genética adaptativa e composição química em cultivares de tamareira e implicações no controle do bicudo vermelho da palmeira, Rhynchophorus ferrugineus Oliver

This study, about RPW and date palms, is under the scope of date palm bioecology and nutrition (nutritional ecology) which includes the integration of several areas of research such as date palm biochemistry, genetics, and RPW infestation behavior through various date palm cultivars. Date palm (Phoenix dactylifera L.; Arecaceae) production is under threat from the red palm weevil (RPW), Rhynchophorus ferrugineus Oliver. A better understanding of genetic diversity within date palm cultivars can be useful for its implementation within the insect IPM program in the future. Three indices, namely simple-sequence repeats (SSR) markers to elucidate genetic diversity, chemical components, and a natural infestation index of RPW, were used to evaluate the resistant or susceptible date palm cultivars in Qassim. Based on a field survey of RPW infestation within 79 date palm farms involving 11 cultivars at Qassim, the sensitivity and resistance cultivars were determined. The resistant date palm cultivars were Nabtat Ali, Shakrah, red Sukary, and um Kobar which had the lowest degree of RPW abundance %. Values of the essential minerals, nitrogen, phosphorus, potassium, and calcium within the date palm cultivars were also estimated. RPW abundance % was negatively correlated with the calcium content of date palm cultivars. The principal component analysis (PCA) revealed that the calcium content and RPW abundance % were highly affected by the cultivars. SSR markers of the date palm cluster tree divided genotypes into two main groups at similarity coefficients between 0.56 and 0.91. The 1st group included; Nabtet Ali, Red Sukary, Um Kobar, and Shakrah with similarity coefficients between 0.56, this group was the most resistant cultivars. Therefore, SSR markers were able to characterize and resolve genetic diversity in date palm cultivars for RPW resistance. When SSR markers coupled with higher calcium (Ca) content can efficiently replace indices in characterizing resistant date-palm genotypes with a high confidence level. Integration between date palm genetic diversity, chemical structures, and RPW infestations rates promoted the understanding of the interplay between the diversity of RPW management (short-time scale), and the resistance genes, plant nutrition, and dynamics of the diversity of RPW through domestication and diversification (long-timescale). Therefore, our results may lead to a change in RPW control strategies by switching to using safe alternative pesticide control methods (Resistant cultivars of date palm), which are underestimated and may reveal the impact of low-cost, but highly effective agricultural practices in the field of date production in the world. Understanding the genetic structure and calcium content of date palm cultivars mechanisms could help to predict date palm resistance against RPW populations in the new IPM strategy in RPW control.

The inventory replenishment policy in an uncertain production-inventory-routing system

<p style='text-indent:20px;'>This study introduces an uncertain programming model for the integrated production routing problem (PRP) in an uncertain production-inventory-routing system. Based on uncertainty theory, an uncertain programming model is proposed firstly and then transformed into a deterministic and equivalent model. The study further probes into different types of replenishment policies under the condition of uncertain demands, mainly the uncertain maximum level (UML) policy and the uncertain order-up to level (UOU) policy. Some inequalities are put forward to define the UML policy and the UOU policy under the uncertain environments, and the influences brought by uncertain demands are highlighted. The overall costs with optimal solution of the uncertain decision model grow with the increase of the confidence levels. And they are simultaneously affected by the variances of uncertain variables but rely on the value of confidence levels. Results show that when the confidence levels are not less than 0.5, the cost difference between the two policies begins to narrow along with the increase of the confidence levels and the variances of uncertain variables, eventually being trending to zero. When there are higher confidence levels and relatively large uncertainty in realistic applications, in which the solution scale is escalated, being conducive to its efficiency advantage, the comprehensive advantages of the UOU policy is obvious.</p>

Three-quarters of public support pharmacists prescribing their medication, survey results show

A survey commissioned by NHS England has revealed there are high levels of satisfaction and confidence among the general public with the care provided by community pharmacy teams. Polling company Ipsos, which carried out the ‘Public Perceptions of Community Pharmacy Survey’ in July 2022, invited 3,402 randomly selected UK adults aged over 16 years to […]

The current state and ways of development of innovative infrastructure of Stavropol krai

The purpose of the article is to study the features of the existing innovation infrastructure and the prospects for the development of the innovative potential of Stavropol Krai as one of the primary factors of economic growth in the region. To achieve this goal, a thorough analysis of the current state of the innovative component of the regional economy was carried out on the basis of key statistical indicators of innovation activity, the leading social institutions and organizations that have a significant impact on the formation of the innovation climate in the region were identified, the mechanisms of public-private partnership as one of the most effective methods of financial and organizational support for business in the process of innovation activity were carefully considered. As a result of the work done, the distinctive features of the innovation economy in Stavropol Krai and the weakest sectors have been identified, on the basis of which recommendations have been developed for the qualitative stimulation of local manufacturers of knowledgeintensive products, increasing their interest in reorienting business from traditional development models to innovative ones, increasing the level of innovation literacy among the population and, as a consequence, their confidence in innovation-oriented business. The data obtained made it possible to predict the state of the main indicators of innovative development of Stavropol Krai for a period of up to three years, which indicates the presence of a significant potential of the region with competent management of available resources and support from the state. The high relevance of the research is due to the importance of creating an extensive and well-functioning innovation infrastructure in Stavropol Krai, stimulating innovative business activity and achieving a high level of public confidence in innovative transformations as key drivers of economic recovery and improving the well-being of the region as a whole

The promotion of non-treatment physical activity in physiotherapy and exercise physiology practice in an Australian regional hospital: A mixed-methods study

To describe the frequency of non-treatment physical activity (NTPA) promotion by physiotherapists and accredited exercise physiologists (AEPs) practicing in an Australian regional hospital. To identify factors that influence whether physiotherapists and AEPs promote NTPA to hospital patients. Mixed-methods using sequential explanatory design. Physiotherapists and AEPs working in a regional hospital setting were invited to complete an online clinician survey and participate in semi-structured interviews. Likert scale questions measured frequency and factors influencing NTPA promotion. Qualitative descriptive analysis was used to analyse interview data. In total, 41 clinicians completed the survey. Of the survey respondents, 66% reported always or often promoting NTPA to their patients. In outpatient settings, 72% of respondents always or often promoted NTPA compared to 54% in inpatient settings. Survey respondents reported high levels of knowledge and confidence in NTPA promotion. Confidence promoting NTPA with unmotivated patients was 54%. Eleven clinicians participated in the interviews. The interviews identified three themes that influenced NTPA promotion in hospital practice: (1) clinicians prioritise addressing the presenting condition before NTPA; (2) clinicians believe that the patients’ motivation influences NTPA promotion; and (3) clinicians rely on their professional and interpersonal skills, and exposure to appropriate training, to promote NTPA. Physiotherapists and AEPs frequently promote NTPA, especially in outpatient settings. The results suggest that low patient motivation to be active, the need to prioritise hospital discharge criteria before NTPA promotion and having few resources guiding NTPA promotion might negatively impact clinicians’ ability to promote NTPA as often as they would like.

A Multi-Objective Situational Awareness Approach for Distribution Networks Using Drones

Unmanned aerial vehicles (drones) have gained a high level of practical confidence due to their ease of use in different applications as well as their advantages such as flexibility, ease of operation and low cost. In this paper, we propose the use of drones equipped with onboard sensors for monitoring the status of electrical distribution networks. Specifically, we formulate a multi-objective optimization approach for distribution networks’ situational awareness, which aims to minimize two conflicting objectives. These are the total annual cost and loss of observability. The proposed approach decides the optimal number of drones, their batteries, the nodes to be visited, and the trip plan. In order to obtain a set of Pareto solutions, we utilize the non-dominated sorting genetic algorithm (NDSGA) in conjunction with branch-and-bound algorithm to minimize both objectives. To validate the performance of the proposed approach, we applied it to a practical distribution system under different scenarios of monitoring frequency and working hours. The obtained results prove the effectiveness of the proposed approach.

Compulsory Community Service for New Nurse Graduates in South Africa: A Narrative Literature Review

<h3>Background</h3> In South Africa, nurses and midwives who have undergone a comprehensive 4-year diploma or degree in nursing (General, Psychiatric, Community, and Midwifery) from a public nursing college or university are expected to perform compulsory community service (CCS) at public health facilities. Compulsory community service is a requirement for nurses and midwives to be registered with the South African Nursing Council—the South African regulatory body—as professional nurses in terms of Section 40 (3) of the Nursing Act. <h3>Purpose</h3> This narrative review seeks to understand the effectiveness, strengths, and areas of improvement of the CCS regulation for nurses in South Africa. <h3>Methods</h3> A narrative review of the literature was conducted to consolidate reported experiences and perceptions regarding the formal South African CCS program for new graduate nurses. Using purposive sampling, three online databases—African Journals Online, Google Scholar, and Science Direct—were searched for relevant literature. The review search items included "community service for nurses," "compulsory community service," "community service nurses," "community service practitioners," and "newly qualified nurses." The review included theses, dissertations, and peer-reviewed publications written and published in English from 2008 to 2022. Included literature focused explicitly on the experiences of community service nurses (ie, nurses completing the CCS) or the perceptions of experienced nurses, including professional nurses and nurse mangers, with respect to CCS for nurses in South Africa. Media reports and reports from other databases were excluded. <h3>Results</h3> The findings identified from this review were categorized into three main themes: (1) positive and negative experiences of CCS, (2) perspectives regarding CCS, and (3) administrative and operational challenges encountered during CCS. <h3>Conclusion</h3> CCS enhanced the preparedness of new graduate nurses to practice, with several studies indicating a high level of confidence to practice among new graduates. However, the challenges encountered during the 12 months of the program—including issues with placement, remuneration versus the workload, and responsibilities, as well as the lack of scope of practice rules, clear policies, or standardized guidelines—cannot be ignored. There is an urgent need to address the administrative and operational challenges to achieve the objective goals of CCS for nurses in South Africa.

GWAS Quality Score for Evaluating Associated Regions in GWAS Analyses.

The number of significantly associated regions reported in genome-wide association studies (GWAS) for polygenic traits typically increases with sample size. A traditional tool for quality control and identification of significant regions has been visual inspection of how significant and correlated genetic variants cluster within a region. However, while inspecting hundreds of regions, this subjective method can misattribute significance to some loci or neglect others that are significant. The GWAS quality score (GQS) identifies suspicious regions and prevents erroneous interpretations with an objective, quantitative and automated method. The GQS assesses all measured SNPs that are linked by inheritance to each other (linkage disequilibrium-LD) and compares the significance of trait association of each SNP to its LD value for the reported index SNP. A GQS value of 1.0 ascribes a high level of confidence to the entire region and its underlying gene(s), while GQS values less than 1.0 indicate the need to closely inspect the outliers. We applied the GQS to published and non-published genome-wide summary statistics and report suspicious regions requiring secondary inspection while supporting the majority of reported regions from large-scale published meta-analyses. The GQS code/scripts can be cloned from GitHub (https://github.com/Xswapnil/GQS/).The analyst can use whole genome summary statistics to estimate GQS for each defined region. We also provide an online tool (http://35.227.18.38/ ) that gives access to the GQS. The quantitative measure of quality attributes by GQS and its visualization is an objective method that enhances the confidence of each genomic hit. Supplementary data are available at Bioinformatics online.

Особенности самоидентификация молодежи Хабаровского края в условиях специальной военной операции

The article presents analysis of the phenomenon of self-identification of youth of the Khabarovsk territory in the context of special military operation to demilitarize and denazify Ukraine (SMO, special operation). Based on the results of monitoring sociological studies, hypotheses of the relative impact of special operation on the self-identification of young people in the Khabarovsk territory are being tested. It is shown that against the background of SMO, young people demonstrate generally stable socio-psychological state, although part of it expresses a certain concern and anxiety with these events. The results of analysis of the impact of special military operation on changing the youth consciousness in terms of choosing authoritative personalities and leaders for themselves confirmed a high level of confidence in the Russian President V.V. Putin as a person who is able to influence its behavior and be a guide in life. It is justified that young people with the Far-Eastern and Russian type of self-identification are more involved in the provision of humanitarian assistance to the residents of Donbass, Russian servicemen and volunteers in the zone of the SMO, more often support the decision to conduct special military operation and have fewer acquaintances (regarding the global type of self-identification) who left for another country for permanent residence due to the start of special operation. The results of research and the main conclusions can be used to update state and municipal projects (programs) aimed at increasing the level of conscious and responsible self-identification of youth and the further development of youth policy in the Khabarovsk Territory.

Comparison of internal standard and standard additions calibration procedures for the determination of selected heavy metals in treated municipal effluent by MP-AES

We compared the internal standard calibration and standard additions calibration methods in the determination of Cd, Cr, Fe, Mn, Pb and Zn in municipal effluent using microwave-induced plasma atomic emission spectrometer. Comparison was based on validation parameters such as linearities, linear ranges, limits of detection (LOD), precisions and recoveries obtained using both calibration methods. Both methods gave good linearities applicable to a simple linear regression data fitting. Severe loss of linearity was observed at levels beyond 3 mg/L particularly for Zn. Considering this, the compromise linear range for all target analytes was established at LOD–3 mg/L. While the LODs for the target analytes were sufficiently low for both methods, the internal standard method was found to be more sensitive compared to standard additions method. Thus, the optimal linear ranges were accurately established at 0.24–0.96 mg/L for the internal standard and 1.10–1.96 mg/L for the standard additions method. Analyte recoveries including for the certified reference material averaged ∼ 100%. Therefore, all target analytes with the exception of Cd, which was possibly below the method detection limit were confidently detected and accurately quantified in municipal effluent samples. Overall, the excellent quantitative data obtained in this study inferred a high level of confidence in the developed methods in that they differed by less than 10%. Indisputably, the performance of the MP-AES operated in internal standard- and standard additions modes have proved to be a sufficiently sensitive technique especially for heavy metals occurring at sub-ppm levels.

ВОВЛЕЧЕННОСТЬ ОРГАНИЗАТОРОВ ЗДРАВООХРАНЕНИЯ В ПРОЦЕСС ЦИФРОВИЗАЦИИ ЗДРАВООХРАНЕНИЯ

Significance. The traditional healthcare system is losing its relevance. Digital transformation of healthcare dictates new conditions to medical organizations, imposing new requirements on healthcare administrators. The purpose of the study is to analyze the attitude of heads of medical organizations in the Arkhangelsk region towards the digital model of healthcare organization. Material and methods. A sociological survey was conducted among heads of the state medical organizations in the Arkhangelsk region. The survey was conducted in the period from March 2021 to August 2022. Representatives of 46 medical organizations took part in the survey including 28 urban and 18 rural organizations. The total number of the respondents added up to 181. A semi-structured questionnaire was used as a research tool, the design was a cross-sectional study. Results. The conducted study shows that 82.3% of the healthcare administrators consider informatization of medical organizations to be successful and show a high level of confidence (95.6%) in information retrieved from medical information systems. In urban areas, the respondents noted a higher level of workplace automation (78.0%), greater need for a personal computer in everyday work (94,9%) and higher frequency of its use (96.6%), and the highest proportion of connection to the medical information system of all departments of a medical organization (94.1%). Healthcare administrators are unanimously positive about replacing the paper medical history/ outpatient records with an electronic equivalent. The main problems related to automation of a medical organization are as follows: insufficient financing of informatization in a medical organization (50.8%), requirements to duplicate electronic information in paper form (48.1%), lack of clear requirements for the implemented information systems (22.7%). Conclusion. The study of attitude of the heads of medical organizations in the Arkhangelsk region towards the digital model of healthcare organizational showed a greater readiness of urban organizations for a standard information interaction in healthcare in the region. To ensure successful work with the medical information systems, healthcare administrators need a supervised on-the-job training by a more experienced colleague. The prospects of digital transformation of healthcare for an individual medical organization are overwhelmingly defined by the electronic document flow between medical organizations.

Patterns of antibiotic use in the population of various regions of the Russian Federation: a qualitative, comparative analysis

Objective. To assess the practice of using antibiotics (AB) by the population of various regions of the Russian Federation (RF), by studying attitudes, behavior and knowledge about AB. Materials and Methods. The survey was conducted from February to June 2022 as part of a multicenter qualitative study in the form of a semi-structured interview among respondents from 18 to 74 years old who used systemic ABs of any group with or without a doctor’s prescription for the treatment of symptoms of a confirmed or probable infectious disease for 3 months prior to the study. Individual inclusion criteria or respondents were developed for each of the participating centers (8 Federal Districts (FD) of the RF, Moscow, St. Petersburg), considering gender, age, education and place of residence to ensure the representativeness of the sample of the general population. Results. The study interviewed 300 respondents. Among them are 151 interviews with respondents who have a prescription for AB. A variety of reasons were identified for which the respondents did not go to the doctor: lack of time, fear of contact with additional infections in health facilities, positive experience with the use of a particular AB, confidence in the free purchase of AB in a pharmacy without a prescription. The data obtained testify to the high level of confidence of the interviewees in the experience and advice of others in the matter of starting AB therapy. A large role in the spread of resistance to AB belongs to the non-compliance of pharmacy workers with the requirements for the prescription sale of AB. As a rule, the respondents had no difficulty in purchasing AB without a doctor’s prescription. Among ABs, combinations of penicillins with beta-lactamase inhibitors, penicillins, and macrolides were in greatest demand. An insufficient level of knowledge about the mechanism of action and indications for the use of AB was revealed. Data were obtained on the insufficient percentage of coverage of the population with information campaigns on the rational use of AB. A significant impact of the COVID-19 pandemic on an increase in the incidence of AB self-treatment has been demonstrated. Conclusions. The problem of excessive and irrational use of AB among the population in the RF still exists despite the ongoing measures. A lack of knowledge about antibiotics and low awareness of the problem of antimicrobial resistance were identified, and factors contributing to self-medication were identified. The data obtained can serve as a basis for the development of future initiatives to ensure the proper use of AB and, therefore, help to reduce the rate of selection of resistant microorganisms in the regions of the RF.

Confidence in the treatment decision for an individual patient: strategies for sequential assessment.

Evolving medical technologies have motivated the development of treatment decision rules (TDRs) that incorporate complex, costly data (e.g., imaging). In clinical practice, we aim for TDRs to be valuable by reducing unnecessary testing while still identifying the best possible treatment for a patient. Regardless of how well any TDR performs in the target population, there is an associated degree of uncertainty about its optimality for a specific patient. In this paper, we aim to quantify, via a confidence measure, the uncertainty in a TDR as patient data from sequential procedures accumulate in real-time. We first propose estimating confidence using the distance of a patient's vector of covariates to a treatment decision boundary, with further distances corresponding to higher certainty. We further propose measuring confidence through the conditional probabilities of ultimately (with all possible information available) being assigned a particular treatment, given that the same treatment is assigned with the patient's currently available data or given the treatment recommendation made using only the currently available patient data. As patient data accumulate, the treatment decision is updated and confidence reassessed until a sufficiently high confidence level is achieved. We present results from simulation studies and illustrate the methods using a motivating example from a depression clinical trial. Recommendations for practical use of the measures are proposed.

Mathematical Maturity of In-Service Junior High School Mathematics Teachers in Imus City, Cavite, Philippines

This study determined the in-service junior high school mathematics teachers’ level of mathematical maturity in terms of expertise in knowledge of the subject matter. Validated questionnaires, interviews, and statistical tools were used to address the objectives. The results revealed that the respondents were found to have outstanding performance in Trigonometry, very satisfactory performance in Basic Math and Algebra, satisfactory performance in Geometry, and did not meet the expectation in Statistics. In addition, the teacher respondents have high confidence level in the use of general computer processes and telecommunications and average level of confidence in the use of other technologies in teaching and learning. In addition, a high confidence level in the use of general computer processes and telecommunications and an average level of confidence in the use of other technologies in teaching and learning were shown by the respondents. Given these findings, it is recommended that in-service mathematics teachers should have intensive trainings and seminars on Mathematics to improve their knowledge in the subject, and a special training on the use of Information and Communication Technology (ICT) to maximize its use in teaching and learning.

Activity Economy and Cultural Heritage Tourism in Sri Lanka(Special Reference in Galle and Kandy)

The activity economy is driven by cultural activities, which are also embodied in the development model of cultural tourism. An activity economy is a new direction for economically developed cities to promote tourism development. This paper explores "the impact of the activity economy on cultural heritage tourism in Sri Lanka concerning Galle and Kandy cities". This study was driven by a qualitative method consisting of document analysis and secondary data obtained from online media. The document analysis involved a review of the literature and documents relating to cultural heritage tourism in Sri Lanka. Tour operators or tourism industry websites, private or personal websites, or Blogs containing travel information regarding cultural heritage tourism in Sri Lanka have been used as qualitative sources and with a high level of confidence. Activity economy is a new concept in the Sri Lankan tourism industry, and according to the analysis of the data, a well-managed marketing activity economy is an important factor for cultural heritage tourism in Sri Lanka. Currently, it runs without identifying its theoretical and practical value; therefore, under a well-organized marketing management plan, it can fulfill sustainability goals. To address this, it needs government and private institutional involvement and a strong set of human and physical resources.

Analisis Sentimen Vaksinasi Booster Covid-19 pada Platform Twitter Menggunakan Metode Naïve Bayes

Since the end of 2019, the Covid-19 virus hit the whole world, including in Indonesia. One of the efforts to deal with the Covid-19 virus is vaccination. In Indonesia, the government requires people to vaccinate 3 times, that are First Vaccination, Second Vaccination, and Booster Vaccination. The public's response to the booster vaccine are varies. This study aims to reveal public sentiment towards booster vaccine activities. The research was conducted by collecting tweet data from the Twitter platform. The research was conducted by collecting data tweets from Twitter. The method used is the Naïve Bayes Classifier because the method is simple, the process is fast, and it has a fairly high level of confidence. In this method, public sentiment is divided into three, that are positive, neutral, and negative. The results showed that most people responded positively to this booster vaccine activity with a value of 56.8%, neutral as much as 39.9%, and negative as much as 3.3% with an accuracy rate of 86%.

USER ACCEPTANCE OF CYBER SECURITY APPLICATION (OUR CYBERHERO) AMONG SECONDARY SCHOOL STUDENTS, TEACHERS AND LOCAL COMMUNITIES IN COASTAL TERENGGANU DISTRICT: A PRELIMINARY STUDY FOR MARITIME EDUCATION

This paper is based on knowledge transfer program to improve cyber security awareness among the coastal community in Kuala Terengganu with the use of Our CyberHero application. Thus, this paper introduces the application and adapt Technology Acceptance Model in maritime education settings. A series of these knowledge transfer programs can to some extent address this knowledge gap. This research has conducted a survey to the 59 coastal communities in Terengganu District. This program is a pilot project to the cyber security application Our CyberHero and is divided into two phases. The first phase was held a webinar on the importance of cyber security sustainability in today’s society. While the second phase gives exposure to the use of cyber security applications. This involves collaboration from the Educational Resources and Technology Sector, the Terengganu State Education Department, the Communications and Multimedia Commission and Cybersecurity Malaysia. The stakeholders involved were 24 high school students, 12 teachers and 23 communities from the coastal state of Terengganu. All 36 stakeholders are made up of 12 secondary schools that were selected as pioneers for the knowledge transfer program. Thus, the 23 other communities are besides the school children and the teachers. Acceptance of the use of cyber security application is very encouraging among students and teachers of coastal secondary schools in the Terengganu district. The 85% of the users feel easy to use the application as the module is easy to understand and friendly user. Therefore, the users feel confidence to use and share information widely (65%). With the high confidence level and understanding of the application, the users tend to trust the application system and the other users (59%). As a result, 57% users are intended to use Our CyberHero application and 52% of the users also feel the application is useful.

PUBLIC TRUST OF THE POPULATION IN THE NATIONAL GUARD OF THE RUSSIAN FEDERATION IN THE CONTEXT OF SOCIOLOGICAL RESEARCH

The level of public confidence in social institutions and organizations of the state is one of the most important indicators determining the effectiveness of their functioning, and, consequently, their authority in the system of public administration. In the conditions of modern socio-economic, political challenges, rapidly changing perceptions of citizens about the perfect model of public security, transformed under the influence of numerous information and psychological attacks from external and internal destructive forces, the importance and necessity of forming and maintaining a high level of public confidence in the activities of military personnel (employees) of the National Guard troops of the Russian Federation continues to increase and progress under the influence of many factors. The article discusses the theoretical provisions characterizing the phenomenon of trust on the example of social relations of the population to the Regardie. The theoretical and methodological foundations of the sociological analysis of scientific approaches to the study of public trust are revealed. The article presents the results of a study on the attitude of Russians to the activities and representatives of a relatively young law enforcement agency.

Evaluation of Sustained Acoustic Medicine for Treating Musculoskeletal Injuries in Military and Sports Medicine.

Musculoskeletal injuries are common in collegiate, professional, and military personnel and require expedited recovery to reduce lost work time. Sustained acoustic medicine (SAM) provides continuous long-duration ultrasound at 3MHz and 132mW/cm2. The treatment is frequently prescribed to treat acute and chronic soft tissue injuries and reduce pain. The objective of this study was to evaluate the efficacy of SAM treatment for musculoskeletal injuries and accelerated recovery. An 18-question electronic survey and panel discussion were conducted on Athletic Trainers (ATs) using SAM treatment in professional, collegiate, and military sports medicine. The survey included both qualitative and quantitative questions. In addition, a panel discussion discussed SAM effectiveness with expert ATs. Power calculation of sampling and statistical evaluation of data was utilized to generalize the results. Survey respondents (n=97) and panelists (n=142) included ATs from all National Athletic Trainers Association districts. SAM was primarily used for musculoskeletal injuries (83.9%, p<0.001) with a focus on healing tendons and ligaments (87.3%, p<0.001). SAM treatment was also used on joints (44.8%), large muscle groups (43.7%), and bone (41.4%). SAM provided clinical improvement in under 2 weeks (68.9%, p<0.001) and a 50% reduction in pain medication (63%, p<0.001). In addition, patients were highly receptive to treatment (87.3%, p<0.001), and ATs had a high level of confidence for improved function and returned to work after 30-days of SAM use (81.2%, p<0.001). SAM is an effective, safe, easy-to-use, noninvasive, comfortable, and versatile therapeutic for healing musculoskeletal injuries.