Round Training Research Articles

Hierarchical Personalized Federated Learning Over Massive Mobile Edge Computing Networks

Personalized Federated Learning (PFL) is a new Federated Learning (FL) paradigm, particularly tackling the heterogeneity issues brought by various mobile user equipments (UEs) in mobile edge computing (MEC) networks. However, due to the ever-increasing number of UEs and the complicated administrative work it brings, it is desirable to switch the PFL algorithm from its conventional two-layer framework to a multiple-layer one. In this paper, we propose hierarchical PFL (HPFL), an algorithm for deploying PFL over massive MEC networks. The UEs in HPFL are divided into multiple clusters, and the UEs in each cluster forward their local updates to the edge server (ES) synchronously for edge model aggregation, while the ESs forward their edge models to the cloud server semi-asynchronously for global model aggregation. The above training manner leads to a tradeoff between the training loss in each round and the round latency. HPFL combines the objectives of training loss minimization and round latency minimization while jointly determining the optimal bandwidth allocation as well as the ES scheduling policy in the hierarchical learning framework. Extensive experiments verify that HPFL not only guarantees convergence in hierarchical aggregation frameworks but also has advantages in round training loss maximization and round latency minimization.

A107Mental Health Simulation for Foundation Doctors: Bridging the gap of placement variation

There is significant variation of foundation programme tracks across the United Kingdom, giving a range of clinical exposure to newly qualified doctors [1]. Common themes in tracks can be identified to include acute/emergency, community, general medicine, surgery and psychiatry components. In the deanery, many Foundation Trainees (FTs) on psychiatry will have up to 3 additional simulation days devoted to psychiatry themes and this is felt to be an especially effective way to supplement education on psychiatry consultation skills [2]. FTs who do not have psychiatry posts will not have the opportunity to attend this training. Typically, mandatory foundation simulation training focuses on human factors related to acute medical and surgical problems [3]. Our education department has developed a pilot programme to support simulation training on key mental health consultations to support well rounded training of FTs. Half day sessions have been delivered to small groups of FTs who do not have psychiatry posts. Faculty has included experienced simulation faculty and psychiatry doctors and the scenarios conducted in a small group format with professional actors playing patients for increased realism of scenarios. The participants rotated between 3 key scenarios covering essential themes of mental state examination, psychiatry team liaison, patient risk assessment and explaining mental health presentations. 2 sessions have been delivered for a total of 18 FTs. FTs showed insight to a number of challenges related to mental health presentations they had experienced outside of psychiatric settings and this formed the outline of the learning objectives for the session. The participants further reflected on discussions in their feedback from the session and portfolio. The sessions were well received, with improvement in confidence in managing these consultations demonstrated in pre and post course survey comparison from the majority of participants. Given the initial success of the session, the team is building a database of local faculty for continuity of the course and looking to secure relevant funding from HEE to provide further sessions for the FTs in the next academic year. This simulation pilot has shown promise to be a useful addition to supplement the education of FTs for mental health consultations applicable in all areas of their clinical practice. Authors confirm that all relevant ethical standards for research conduct and dissemination have been met. The submitting author confirms that relevant ethical approval was granted, if applicable.

Exploring different stakeholders’ perspectives on ward rounds in paediatric oncology: a qualitative study

Rational/Aims and ObjectivesWard rounds are a core routine for interprofessional communication and clinical care planning: Health care professionals and patients meet regularly and it encourages patients to actively participate. In paediatric oncology, the long treatment process, the serious diagnosis, and involvement of both patients and their parents in shared-decision-making require specific ward round skills. Despite its high value for patient-centred care, a universal definition of ward round is lacking. Little is known about attitudes and expectations of different participants towards a ‘good’ ward round. This study aims to capture experiences and expectations of different stakeholders to better understand ward round needs in paediatric oncology and serve as a basis to improve future ward rounds.MethodSemi-structured interviews were conducted with patients, parents, nurses and medical doctors of a paediatric oncology ward until theoretical saturation (13 interviews). A standardised qualitative analysis using the phenomenological framework defined by Colaizzi was used to identify important aspects in the interviews.ResultsThree major themes were identified in the interviews: [1] Structure and Organisation; [2] Communication; [3] Education. Further analysis revealed 23 categories and elucidated several opportunities and unmet needs recognized by stakeholders: Ward round functions in comforting families in stressful situations, and relationship building. Interviewees expressed their concerns about missing structures. Families pleaded for smaller ward round teams and layperson language. Health care professionals underscored the lack of ward round training. Paediatric patients stated that ward round scared them without proper explanation. All interviewees emphasized the need for professionalization of the ward round in the setting of paediatric oncology.ConclusionThis study gives important insights into ward round functions and organisational requirements. It addresses special challenges for ward round participants in paediatric oncology, such as consideration of the emotional aspect of cancer treatment or the limits of shared decision making. Furthermore, this study underscores the great significance of ward rounds in paediatric oncology, with an emphasis on communication and relationship-building. Although performed universally, ward rounds are poorly explored or evaluated. This structured analysis synthesizes important expectations of different WR stakeholders, revealing opportunities of improvement and stressing the need for guidelines, training, and preparation.

THE EFFECT OF NURSING ROUND TRAINING ON PATIENT SATISFACTION IN NURSING SERVICES AT RS X JAKARTA

Nursing rounds is a method used by nursing to explore and discuss in depth the problems of nursing on the patient, as well as to know the implementation of care standard that has been performed to improve service quality. This research aims to see the effect of nursing rounds method training on patient satisfaction with nursing service at RS X. We use pra-experiment design research, pre and post-tests without control, conducted from July 207 to January 2018 in RS X Jakarta. The research sample is 46 respondents. The intervention of nursing rounds training to the nurse, the evaluation used questionnaire to the patient. Data analysis used Chi-Square and Mann Whitney Tests. The research shows that patient satisfaction with the nursing service in RS X is very satisfied 32.6%, satisfied 67.4%, and dissatisfied 0%. The analysis of respondent characteristics (age, education, time of care, occupation, the person in charge of the medicine cost) and patient satisfaction (intangibility, responsiveness, reliability dimensions) have no relation. Nursing rounds significantly improve patient satisfaction with the nursing service in Empathy (35.4%) and Assurance (47.5%). The increase in patient satisfaction after the nursing round in Empathy (P=0.007) and Assurance (P=0.001) dimensions in male patients is higher than in female patients (P=0.035). From the research results above, tangibility, responsiveness, and reliability dimensions need to be improved by implementing nursing rounds in the ward. It shall be performed simultaneously to enhance the satisfaction of nursing service.

The Effectiveness of Student-Led Ward Round Training on Knowledge Acquisition, Critical Thinking Ability, and Self-Confidence of Acute Upper Gastrointestinal Bleeding for Nursing Students.

Nursing knowledge, critical thinking ability, and self-perceived confidence are imperative to nursing skills in professional nursing practice. Therefore, nurse educators are required to use teaching strategies that will help promote their knowledge, critical thinking, and self-confidence in complex contents such as the nursing of acute upper gastrointestinal bleeding (AUGIB). This study compares the effect of student-led and instructor-led ward-round training methods on knowledge acquisition, critical thinking ability, and self-perceived confidence during AUGIB sessions. Forty nursing students in the first year of the Emergency Nursing Residency Program were randomly divided into a student-led ward round training group (SG) and an instructor-led ward round training group (IG) with a ratio of 1:1. A knowledge quiz, critical thinking ability test, and self-perceived confidence questionnaire were performed before and after the ward round training to assess both groups of students for their knowledge acquisition, critical thinking ability, and self-perceived confidence improvement. Feedback questionnaires were conducted after the training to evaluate students' perspectives and interests concerning the teaching module. The scores of the post-training quiz were significantly higher than that of the pre-training quiz in both the SG (44.10±2.92 vs 31.10±4.27, p<0.001) and IG (32.35±2.21 vs 30.55±2.24, p=0.01). In the post-training quiz, scores achieved by the students from the SG (44.10±2.92) were significantly higher than those achieved by the students from the IG (32.35±2.21, p< 0.001). The level of self-perceived confidence improved significantly after ward round training in the SG (p< 0.001). However, there was no statistically significant difference in the IG with respect to the change from pre- to post-training (p=0.43).The students' critical thinking ability improved significantly in the SG (14.95±2.58 vs 7.10±1.79, p<0.001), while no significant improvement was found in the IG (7.91±2.28 vs 6.52±2.21, p=0.07) after ward round training. The teaching method of SWRT improves nursing students' knowledge acquisition, critical thinking ability, and self-perceived confidence in AUGIB.

PCG signal classification using a hybrid multi round transfer learning classifier

Diagnosis of cardiovascular diseases using Phonocardiography(PCG) is a challenging task as signal itself is cyclo-stationary. It has spectral contents which are overlapped by multiple sources having similar spectral contents but acting as noise. Moreover, length variation in the signals and sampling using different equipment also make analysis of these signal a testing task. In this research, authors have introduced a hybrid technique to counter the variations just mentioned. Our technique is composed of high resolution spectrum generation, conversion of spectral contents to Spectrogram and multi round training. Use of fixed length spectral contents makes system independent of signal length. By using Spectrogram, the deep features can be extracted from spectrum which are used as an input to Pre-trained networks (PTNs). Finally, transfer learning is applied with multiple rounds of training.The introduced methodology is validated using multiple datasets having different PCG signals, sampling frequency, signals length and signal quality. From the reported results, it is evident that Chirplet Z transform (CZT) based Spectrogram can be utilized for mutlticlass classification. If CZT based Spectrograms are passed through multi rounds of training, then accuracy can be further increased. The reported results are accurate to 99% in the case of testing for best case scenarios and even in worst case, the results dont fall below 85%. However, an important observation is that they are consistent across the experimental protocols. The computational cost associated with the introduced technique is low which makes it suitable for hardware implementation.

Effect of conducting clinical nursing round training program for head nurses on their clinical round performance

Background: Clinical rounds are complex clinical activities, critical to providing high-quality, safe care for patients in a timely, relevant manner. It offers opportunities for effective communication, information sharing and joint learning through active participation of all members of the multidisciplinary team. Aim: The present study aimed to assess the effect of conducting clinical nursing round training program for head nurses on their clinical round performance. Design: A quasi-experimental pre-posttest design was used to achieve the aim of the present study. Sample: A convenient sample of all head nurses (n= 23), who are agreed to participate in the study was included in the . Setting: The study was conducted at departments of the new obstetric and midwifery hospital at Kaser El-Aini.Tool: one tool was used; clinical round performance checklist. result: the was a highly statistically significant difference between pre intervention and post intervention regarding to most items of nursing clinical round after attending the training program. Recommendation: Based on the study results the following were recommended applying training program for head nurses into wider scales.

Skills acquisition in Science, Technology, Engineering and Mathematics (STEM) education and graduates profitability in Kwara State, Nigeria

The study examined the benefit inherent in skills acquisition in Science, Technology, Engineering and Mathematics (STEM) education vis-à-vis the institutions attended by and courses offered by graduates of colleges of education to their environment. Two research questions and three hypotheses were respectively addressed. An ex-post-facto design was adopted. A sample of 385 (125 Mathematics and 260 Integrated Science) college graduates selected via quota sampling participated in the study. Graduates Profitability Scale was the instrument used for collecting data whose reliability index was .81 as computed from test retest reliability. Data collected were treated with statistical tools that provided results for answering the research questions and explanation for tested hypotheses. It was found that college graduates were beneficial to their environment with regards to the institutions and courses offered which showed no significant difference but the desirability of the institutions and courses offered by the college graduates were both positively correlated linearly. It was recommended in view of the findings that all round training should be sustained for all courses offered in colleges of education, teachers in training should be prepared to acquire dynamics such as trouble shooting capabilities with goal oriented usability which school managers are seeking for as well as showcase ability to communicate effectively.

Improved Beekeeping Technologies as Intervention for Unemployed Youth Group

Beekeeping practice is as an important income-generating activity, employment and tourism. Its investment costs are relatively low which makes beekeeping a thriving business that can contribute invaluably to a household income. The main objective of this study is to evaluate the socio-economic contribution of beekeeping to youth by establishing beekeeping cooperatives of unemployed youth group around protected forest area. As to method, Ambo Woreda is selected purposively and two youth group which consist 34 members established. Two round training on improved beekeeping management practices and business planning given for group members. Forty box hives with honey bee colonies, beekeeping equipments and accessories delivered with technical support in establishment and follow up of honey bee colonies during the study period. Planting and managing multipurpose tree seedlings undertaken around the apiary with group members. As to the result, on average of 85.5kg kg pure honey harvested per season and marketed in surrounding local market and 21,375 Ethiopian Birr per season obtained from honey sold. Improved beekeeping knowledge, skill and awareness created on beekeeping as business are non financial results achieved as result of the intervention. The overall finding of this study mainly underlined beekeeping can be used as intervention tool for youth unemployment with integration of other income generating activities. Keywords: Beekeeping, intervention, income generation, unemployment DOI: 10.7176/JBAH/12-6-02 Publication date: March 31 st 2022

Structured Nursing Rounds (SNR) Training Module on the Level of Patient Satisfaction

Structured Nursing rounds (SNR) are one of the quality indicators for the inpatients admitted in the Medical-Surgical care settings. Conducting systematic nursing care rounds is complementary to individual holistic nursing practice. It is one way of ensuring the highest standards in nursing care. We can also fruitfully reap its benefits. It improves patient satisfaction in the delivery of the quality of care.

Simulated ward round training in the medical curriculum Munich.

Conducting a ward round in a structured and goal-oriented manner is one of the central competencies of a physician's work. Despite its relevance, ward round competence was only addressed in an unstructured way in the Medical Curriculum Munich (MeCuM) prior to 2011. Therefore, the project’s aim was to implement an evidence-based course on medical ward round competence. This project report provides a guideline for developing such a training course. Project planning and development was guided by the steps of the “Kern cycle”, beginning with needs assessment, learning objectives definition, and selection of appropriate teaching methods, and ending with implementation and evaluation.

Detection of cotton waterlogging stress based on hyperspectral images and convolutional neural network

Waterlogging in the early stage of cotton will reduce the number of bolls and do harm to yield. Early detection of waterlogging will help farmers to adjust cotton management and save the loss. To evaluate the application of deep learning for the detection of early waterlogging, this study applied a convolutional neural network (CNN) to classify different durations of waterlogging stress (0, 2, 4, 6, 8, 10 d) based on hyperspectral images (HSIs) of cotton leaves. An experiment was designed to simulate the situation of cotton under waterlogging stress and collect HSIs of visible and near-infrared (VNIR 450-950 nm) spectra with 126 bands 66 d after cotton sowing (66 DAS). It was found the spectral curve reflectance of waterlogging cotton was higher than that of non-waterlogging cotton. Especially near 550 nm and 750 nm, and the spectral curve increased with durations of waterlogging stress and there were ‘blue shift’ phenomena for the position of the red edge of the spectra. The first principal components of HSIs after band randomly discarding and principal component analysis (PCA) were used to build a dataset. GoogLeNet Inception-v3 (GLNI-v3) and VGG-16 models were selected to detect cotton waterlogging stress with the dataset. The results showed that the average time for a round training for GLNI-v3 was 13.337 s, with a classification accuracy of 96.95% and a loss value of 0.09431. The average time for a round training for VGG-16 was 21.470 s, with a classification accuracy of 97.00% and a loss value of 0.17912. Though these two models had similar classification accuracy and loss value, GLNI-v3 achieved a high accuracy with fewer training iterations. The durations of waterlogging stress of cotton in a short-term can be detected by HSIs of cotton leaves and CNN models are suitable for the classification of HSIs, and this method can provide support for cotton yield estimation and loss assessment after waterlogging. Keywords: cotton, waterlogging, hyperspectral image, convolutional neural network DOI: 10.25165/j.ijabe.20211402.6023 Citation: Zhao J, Pan F J, Li Z M, Lan Y B, Lu L Q, Yang D J, et al. Detection of cotton waterlogging stress based on hyperspectral images and convolutional neural network. Int J Agric & Biol Eng, 2021; 14(2): 167–174.

Functional-diagnostic approach to the system of education of sportsmanship of swimmers

The problem of athletes' working capacity recovery after training and competitive loads is one of the most urgent in sports. The results of our research, carried out in the process of year- round training of members of the national swimming teams of the legal and polytechnic universities, showed that one of the systems experiencing the greatest stress and changes under the influence of a training load is the neuromuscular apparatus. The purpose of the work was to organize the restoration of sports performance, which is based on a functional diagnostic approach. The proposed system of restoration of sports performance, based on the constant consideration of the functional state of the swimmers' organism, allows to ensure adequate use of rehabilitation means, high individualization and effectiveness of the impact.

Virtual Reality Simulation in Interprofessional Round Training for Health Care Students: A Qualitative Evaluation Study

BackgroundInterprofessional rounds are increasingly applied in providing patient-centered team care delivery. Students from six health care courses in medicine, nursing, pharmacy, physiotherapy, occupational therapy, and social work formed interprofessional teams to undertake an interprofessional education (IPE) on virtual reality simulation–based interprofessional rounds. This study aimed to evaluate health care students’ perspectives on the transferability of the IPE virtual reality simulation learning to clinical practice. MethodThree focus group discussions were conducted. ResultsThree themes emerged: “gaining insights into mutual roles,” whereby students better understood the different interprofessional roles of other team members, “seeing the patient as a whole” to foster patient-centered care, and “gaps in real-world application” due to system and structure constraints. ConclusionsEarly exposure to team care through IPE virtual reality simulation can foster understandings of the interdependent roles of health care professionals toward patient-centered care. For greater clinical impact, a further recommendation is to supplement with workplace-based team training to contextualize learning with practice settings.

Senior competitive ballroom dancers underestimate theirexertion in final rounds training

Senior competitive ballroom dancers underestimate theirexertion in final rounds training

ПІДГОТОВКА ОСОБОВОГО СКЛАДУ ОПЕРАТИВНИХ РОЗРАХУНКІВ РЯТУВАЛЬНИХ ЧАСТИН В СТРУКТУРНИХ ПІДРОЗДІЛАХ ОПЕРАТИВНО-РЯТУВАЛЬНОЇ СЛУЖБИ ЦИВІЛЬНОГО ЗАХИСТУ УКРАЇНИ

&#x0D; &#x0D; &#x0D; The article deals with the structure of vocational training and postgraduate education of the personnel of the units of the Operational and Rescue Service of Civil Protection, describes the system of departmental education of the State Emergency Service of Ukraine. On the basis of the analysis of the governing documents and empirical data in the structure of the professional training of the personnel of the guard units of the Operational and Rescue Service of Civil Protection, the author distinguished two components - primary vocational training in the departmental vocational schools and training of personnel directly in the work unit. It is established that for the development of professional knowledge, skills of rescuers, for maintaining a high level of operational readiness of duty guards, in the structural divisions of the Operational and Rescue Service of Civil Protection there is a continuous, year- round training system - independent and professional training. The modern period in the professional training of rescuers is characterized by the lack of a proactive approach, insufficient attention to innovative methods of training the personnel of operational units.&#x0D; &#x0D; &#x0D;

A deep learning based medical image segmentation technique in Internet-of-Medical-Things domain

Medical Image Segmentation is the process of automatic or semi-automatic detection of boundaries within a 2D or 3D image in Internet-of-Medical-Things (IoMT) domain. The main difficulty of medical image segmentation is the high variability in medical images. For example, CT images contain a large amount of noise, and complex boundaries. In this paper, we propose an adaptive fully dense(AFD) neural network for CT image segmentation. By adding the horizontal connections in UNet structure, it can extract various features from all layers adaptively. And it use ensemble training for the output to extract more edge information in the multiple rounds training. We have validated our method on two data sets, a natural scene image data set and a liver cancer CT image data set. The experimental results demonstrate that it performs better than state-of-the-art segmentation methods. And our method yields superior segmentation results for CT images with complex boundaries.

Random forests‐enabled context detections for long‐term evolution network forrailway

An ensemble learning-based approach for context detection for high-speed railway (HSR) is proposed, evaluated, and compared against various machine learning algorithms. The context information is collected and formatted from the realistic physical data, which are measured by the field test in a commercial 4G cellular network on-board high-speed train in an open area, HSR station, and typical urban area. The radio propagation knowledge implies that the channel model is implemented in feature extractions. The independent out-of-bag errors show ensemble learning approaches; especially, random forests-based algorithm achieves very accurate context detection (up to 93.5%), which is much higher than single tree (66%). Other ensembles with sub-spaces of discriminant (67%) and K-nearest neighbour (69%), as well as linear discriminant analysis (55.7%), and support vector machine (SVM) (27.7%). Furthermore, the features are selected based on the feature importance evaluation in the first round training. The selected predominant features and the reasonable number of individual trees construct the refined random forests, which obtain a high accuracy (92.6%) and 70% time reducing. This experimental study benefits from physical radio knowledge to support advanced long-term evolution (LTE) network for railway and future smart rail applications.

The Effects of Endurance Sports on Children and Youth.

In the United States, youth participation in sports continues to increase yearly. This increase in participation, in conjunction with the trend toward early sports specialization and year round training, has led to a similar increase in athletically developed injuries. These injuries vary in nature and acuity, with the type of injury often related to the athlete's age, sport, and level of training. Endurance athletes are at an elevated risk of injury as they frequently push their body to the limit during their arduous training. Pediatric endurance athletes can be particularly vulnerable, especially to overuse injuries, given their unique and ever-changing physiological state. It is important to understand the specific challenges facing not only the physical, but also the emotional well-being of these pediatric endurance athletes to maximize performance while minimizing injury and potential long-term sequelae.

Restructuring of inpatient rounds to improve quality of care in patients with cancer.

232 Background: Traditionally, hospital units function as multidisciplinary teams which work in silos and communicate via notes in the Electronic Health System. This often leads to communication breakdown, frequently translating to adverse clinical outcomes and prolonged hospital length of stay. Our primary objective was to introduce Inter-Professional Team (IPT) rounds on the oncology unit and evaluate the impact on length of stay (LOS) within a Plan, Do, Study, Act (PDSA) cycle. Methods: The care transition team planned the IPT rounds structure and training curriculum which included team goals, post-rounds structure for addressing barriers to care progression, and member roles/scripting. Change in LOS and case mix index (CMI)-adjusted LOS post-IPT round implementation ( Do) in July 2017 was analyzed ( Study) using hierarchical linear models for patients with an admission to the oncology service from September 2016 to March 2018. Beta coefficients (β) and 95% confidence intervals (CI) were estimated and models were adjusted for calendar time. Results: Ten attending medical oncologists participated in IPT round implementation. Of 889 oncology admissions, median LOS and CMI-adjusted LOS pre-IPT round implementation (n = 464) was 4 days (IQR 2-6) and 3 days (IQR 1.8-4.7), while post-IPT round implementation (n = 425) was 4 days (IQR 2-6) and 2.9 days (IQR 1.9-4.4), respectively. Three common reasons for admission were septicemia (n = 96), hematologic complications (n = 42, e.g. anemia/neutropenia), and renal failure (n = 25). Adjusted models for LOS and CMI-adjusted LOS showed no significant difference post-IPT round implementation (β = 0.8 days, 95% CI -0.7-2.3; β = 0.5 days, 95% CI -0.3-1.3, respectively) when compared to pre-implementation. Conclusions: We did not observe decreased LOS in early outcomes. However, IDT rounds built on TEAMSTEPPS 2.0 elements with incorporation of key principles desirable in a patient care team. Next steps include further analysis to better understand cancer stages and diagnoses contributing to longer LOS. We also plan to evaluate patient satisfaction, educational needs, and readmission rates to restructure ( Act) IPT rounds to better serve the needs of our unique patient population.