Training Capacity Research Articles

Anti-fatigue activity on male mice of 70% ethanol and aqueous extract of Rusa unicolor antler from East Kalimantan

Energy supply issues, ATP+PC, anaerobic glycolysis, product accumulation, lactic acid, mechanical failure of muscles to contractions and nervous system changes contribute to fatigue. The goal of this study was to determine whether 70% ethanol and aqueous extracts of Rusa unicolor antler from East Kalimantan, Indonesia, can reduce fatigue in male mice. A total of sixty-four male mice aged 2-3 months (20-30 g) were randomly assigned to eight groups (negative control, positive control and 3 doses of treatments for each extract). After that, the swimming endurance time was assessed, and blood glucose levels were measured before and after the test. Mice's tiredness is demonstrated by their head remaining submerged for 4-7 s while their tails and legs are stretched. One-way ANOVA was used to statistically analyze the data. The results showed that there were significant differences between all treatments with the negative control group (p<0.05). At a dose of 1.3 mg/kg BW of 70% ethanol and aqueous extract of Rusa unicolor antlers were able to maintain the stamina of male mice in swimming for 2 hrs 37 mins. Both extracts improve endurance training, delay tiredness, and promote recovery after exercise. Hence, Rusa unicolor antler extract can significantly improve athletic ability and facilitate recovery after exercise in male mice by increasing endurance training capacity and delaying tiredness.

Building the capacity of education department heads and training to meet the demands of educational innovation today

The Education and Training Department Head is the head of the Department of Education and Training (DOET), responsible to the People's Committee, the Chairman of the People's Committee at the district level, and the law for the implementation of the functions, tasks, powers, and all activities of the DOET. The article focuses on clarifying the functions, tasks of the DOET department head, the requirements for the DOET department head in the current context, and proposing a capacity framework for Education and Training department heads to meet the demands of educational innovation in the current context. Keywords: DOET Department Head, Educational Innovation, Capacity Framework.

How an international research programme can contribute to improvements in the research environment: the perspective of doctoral students in sub-Saharan Africa

Background The Africa Capacity Building Initiative (ACBI) programme aimed to ‘strengthen the research and training capacity of higher education institutions and support the development of individual scientists in sub-Saharan Africa through UK-Africa research collaborations’ including by funding PhD studentships. We conducted research to understand students’ experiences and to see how consortia-based programmes such as ACBI and their own institutions can enhance PhD students’ research environment and progress. Methods In-depth interviews with 35 ACBI-funded PhD students explored their perspectives about how their research and personal development benefitted from belonging to a research consortium. Questionnaires were used to corroborate interview findings. Results Students recognised that membership of a research consortium provided many benefits compared to less well-resourced peers. By drawing on the programme and consortiums’ resources, they were often able to overcome some limitations in their own institution’s systems and facilities. Through their consortia they could access a wide range of international expertise and support from mentors and colleagues for their technical and psychosocial needs. Multiple consortia opportunities for engaging with the international scientific community and for networking, gave them confidence and motivation and enhanced their career prospects. Conclusion Our study and its recommendations highlight how the breadth and diversity of resources available to PhD students through research consortia can be harnessed to facilitate students’ progress and to create a supportive and conducive research environment. It also underlines how, through a multi-level approach, consortia can contribute to longer-term improvements in institutional research environments for PhD students.

Effectiveness of a modified behavioural activation treatment training program for primary medical staff to manage depressive symptoms among rural elderly in Hunan Province, China: study protocol for a cluster randomised controlled trial

IntroductionDepression is a major global health problem, with high prevalence rates of depressive symptoms observed among the elderly population in China, particularly exacerbating in rural areas. Due to a lack...

Trends in the providers’ uptake of advance care planning from 2016 to 2021.

1538 Background: Advance care planning (ACP) facilitates meaningful discussions and preparation for future medical decisions. This person-centered approach has been recognized for its potential to improve care quality and reduce unnecessary aggressive care at the end of life, especially among cancer patients. We examined the trends in ACP visits across specialty groups that may involve cancer care and between rural and urban areas. Methods: We used publicly available data from the Centers for Medicare & Medicaid Services, the Provider Utilization and Payment Data Physician and Other Practitioners Dataset – By Provider and Service files (2016-2021). We included providers in 3 specialty groups that may encounter cancer patients needing ACP: Cancer-Related Specialties, Hospice and Palliative Medicine (HPM), and Midlevel Providers. The primary outcome was billing for any ACP services each year, identified through Healthcare Common Procedure Coding System codes (99497 and 99498). Geographical areas were classified using Rural-Urban Commuting Area codes into metropolitan and non-metropolitan areas. Trends in the percent of providers billing any ACP and average ACP service volumes were described, with Wilcoxon tests used for statistical comparisons. Results: The primary analytic sample consists of 1,280,656 provider-years from 2016 to 2021 (Cancer-Related Specialties: 113,012, HPM: 7,320, and Midlevel: 1,160,324). The percentage of providers billing ACP visits tripled from 1.0% in 2016 to 3.3% in 2021. The highest uptake was among HPM physicians (12.8% to 36.9%) compared to cancer-related specialists and midlevel providers (Table). Average ACP service volume was higher in non-metropolitan areas among Cancer-Related Specialties (53.6 vs. 142.9). However, the average ACP service volume by metropolitan status was similar among HPM (75.0 vs. 66.7, P=0.65) and higher in metropolitan areas among Midlevel providers (70.2 vs. 54.8, P<.001). Conclusions: The proportion of physicians billing ACP codes increased including those in HPM and cancer-related specialties, but adoption remained low. Rural-urban disparities in average ACP service volume among cancer-related specialties might reflect a shortage of specialty-trained HPM physicians to provide ACP services. Particularly noteworthy is the absence of HPM specialty in non-metropolitan areas. A comprehensive strategy involving education, awareness, enhanced training capacity, innovative care models for advanced practice nurses, and increased resources, is needed to promote APC use and patient-centeredness in cancer care.[Table: see text]

The Task‐Sharing Path to Safe and Accessible Anaesthesia Care in India: The Role of Professional Associations in Health Policy Reform

ABSTRACTThe worldwide anaesthesia workforce shortage is a concern and ‘shared responsibility’ for all the national or state anaesthetic societies and Ministries of Health. The Lancet Commission on Global Surgery estimated the need for 143 million additional surgeries each year globally. These would be included in the World Health Organization's (WHO) 44 essential surgeries to be performed at district hospitals. However, insufficient availability of safe anaesthesia is a key barrier. The World Federation of Societies of Anaesthesiologists (WFSA) recommends at least five specialist physician‐anaesthesia providers per 100,000 population. India requires at least 60,000 additional physician‐anaesthesiologists over the next 10 years. This paper discusses the two‐decade journey of a policy initiative by the Ministry of Health and Family Welfare (MoHFW) in India to create a new category of a physician with Life Saving Anaesthetic Skills (LSAS). This addressed the shortage of anaesthetists specifically for the dire emergency obstetric situations at the First Referral hospitals. The annual training capacity for physicians for LSAS training was 40–100 in 5 of the poorest states of India, with the maximum shortages of anaesthetists. On following up a sample of 838 LSAS physicians, only about two‐thirds were able to practice their life‐saving skills. The MoHFW innovated further by pairing a physician trained in Emergency Obstetric Care with an LSAS‐physician (buddy‐pairing) as a functioning team. For comparison, we discuss the midwife model supported by the professional association of obstetricians in India. The flexible, ‘team‐based’ task‐sharing approach optimizes anaesthesia care within available resources. Leadership and vision from the professional societies of anaesthesiology are key to policy reform in India. National engagement can be facilitated through support for district‐level non‐specialist physician provider with life‐saving anaesthesia skills training, engagement in research and formulation of the national surgical and anaesthesia plans to achieve universal healthcare in India.

Virtual Reality (VR), Augmented Reality (AR) and Mixed Reality (MR), A Necessity of The Modern Diving Technology

Abstract The paper looks at three emerging technologies, namely virtual reality (VR), augmented reality (AR) and mixed media (MX), and explains how they are transforming the way we interact with the digital and real worlds. Each technology is defined and the main features are highlighted for comparison. VR gives us a complete and immersive experience in the virtual world, AR adds digital elements to the real world, and MX integrates both media to create an interactive experience where virtual and real elements interact and coexist. Within the work a number of equipment or applications incorporating these emerging technologies were reviewed to highlight how they could assist divers to train under controlled conditions and simulate real diving conditions in hazardous or complex environments. The implementation of technologies such as virtual reality (VR), augmented reality (AR) and mixed media (MX) within the Diving Center of the Romanian Naval Forces would bring many advantages and significant improvements in terms of the training capacity, operational efficiency and safety of military divers. These technologies would not only modernize training and operations, but also strengthen the ability to intervene and react in critical situations.

Identification of subgroups of patients with oesophageal cancer based on exercise intensity during prehabilitation

Purpose To identify subgroups of patients with oesophageal cancer based on exercise intensity during prehabilitation, and to investigate whether training outcomes varied between subgroups. Materials and methods Data from a multicentre cohort study were used, involving participants following prehabilitation before oesophagectomy. Hierarchical cluster analysis was performed using four cluster variables (intensity of aerobic exercise, the Borg score during resistance exercise, intensity of physical activity, and degree of fatigue). Aerobic capacity and muscle strength were estimated before and after prehabilitation. Results In 64 participants, three clusters were identified based on exercise intensity. Cluster 1 (n = 23) was characterised by fatigue and physical inactivity, cluster 2 (n = 9) by a low training capacity, despite high physical activity levels, and cluster 3 (n = 32) by a high training capacity. Cluster 1 showed the greatest improvement in aerobic capacity (p = 0.37) and hand grip strength (p = 0.03) during prehabilitation compared with other clusters. Conclusions This cluster analysis identified three subgroups with distinct patterns in exercise intensity during prehabilitation. Participants who were physically fit were able to train at high intensity. Fatigued participants trained at lower intensity but showed the greatest improvement. A small group of participants, despite being physically active, had a low training capacity and could be considered frail.

Insights into teachers' training and professional development: introducing online technologies

The article deals with the problem of professional development of teachers and lecturers in Ukraine in today's challenging conditions. The authors of the article are representatives of the development team of the online course "Content and Language Integrated Learning (CLIL) Methodology" for educators. It is a product of the collective creativity of the Foreign Language Teacher Training Capacity Development as a Way to Ukraine’s Multilingual Education and European Integration (MultiEd) project team, сo-working under the umbrella of the Erasmus+KA2 programme. The course is hosted on the Moodle platform of Zaporizhzhia National University; it is aimed at training specialists capable of adapting and implementing advanced teaching methods in the educational process of the New Ukrainian School. This course is designed for subject teachers, foreign language teachers in secondary and higher education, as well as educational institution leaders who understand the contemporary challenges of education in line with the demands of the job market and are interested in modernizing existing educational programs, improving teaching and learning methods, and implementing a culture of quality assurance in education. The course is developed in the Ukrainian and English languages; it is flexible in time and choosing subject themes to fill the gaps in knowledge. The article presents the stages of course development and implementation, description of its content and structural elements. The course was piloted in all UA universities, partnered with the MultiEd team, encompassing 583 participants, 466 of which successfully completed the course. This article focuses on the results of 194 participants’ training on the Moodle platform of Zaporizhzhia National University (March – November 2023), their progress, evaluation and critical remarks, and highlights the prospects of its use in the system of professional teacher training

Challenges of disaster risk communication from the perspectives of experts and affected people: A conventional content analysis

Effective risk communication is essential for disaster risk management. It is necessary to understand the present contextual factors to select appropriate strategies to enhance risk communication. Therefore, this study aimed to explore the factors that create challenges for risk communication in Iran. Using a qualitative methodology, this research included 25 managers, rescuers, and event survivors with prior experience responding to disasters. Data were collected via semi-structured interviews and analyzed using conventional content analysis. Data analysis resulted in the identification of four categories and eleven subcategories related to the factors that facilitated the formation of challenging risk communication. These categories include distrust (distrust in public warnings, public distrust in relief organizations), ineffective information dissemination (ineffective informing authority, irresponsible dissemination of information, negligence in information transparency), insufficient educational communication (limited training capacity, universal education restriction, extensive educational infrastructure), and uncertain warning messages (uncertain content of warning messages, alert channels diversity, delayed warning messages). Multiple contextual elements thus contribute to ineffectual risk communication, the most significant of which is diminished public confidence in relief organizations. Identifying these factors provides a basis for relief organizations to anticipate and plan long-term strategies to improve communication between relief organizations and the public, thereby increasing the preparedness of individuals for disaster response.

Train Rescheduling of Urban Rail Transit Under Bi-Direction Disruptions in Operation Section

As urban rail transit systems expand rapidly and passenger volumes grow, disruptions in operations increasingly occur, leading to adverse effects such as train delays and passenger retention. This paper introduces an organizational scheme to address train rescheduling in urban rail transit during bidirectional operational disruptions. It uses crossovers for short-turning services on either side of the disruption. Train rescheduling following a disruption is categorized into three stages: the disruption response phase, the disruption duration phase, and the recovery phase. This study presents a cooperative adjustment model for the network train timetable with the optimization objectives of reducing total passenger waiting time and the penalty time incurred from exceeding train capacity. The model considers the interrupted line and other lines connected to the interrupted line, employing a genetic algorithm for solution. Real operational data from a local subway line in a city are used as an example to adjust the train operation of urban rail transit with the bidirectional interruption. The results show that the short-turning strategy can better ensure the service level under the urban rail transit disruptions. Furthermore, the network train timetable collaborative adjustment model outperforms strategies that only modify the timetable of the disrupted line, effectively reducing both total passenger waiting time and penalty time for exceeding train capacity. This approach enhances operational efficiency and service levels in urban rail transit.

The performance analysis of deep learning algorithms for modelling and forecasting the particulate matter (PM10) in the eastern part of Turkey

The main purpose of this study is to select the most reliable nonlinear computational model to predict the particulate matter (PM10) concentrations. Time series data of three years PM10 concentrations were used as input variable. For the prediction, three different types of dynamic nonlinear autoregressive models were built and compared. These models are the Levenberg-Marquardt algorithm, the Bayesian Regulization algorithm, and the Scaled Conjugate Gradient algorithm. For each of these algorythms, various settings were adopted with the subsequent statistical analysis. To analyse the model performance, we used mean prediction error, root mean square error, and correlation coefficient. The lowest root mean square errors were found for the Levenberg-Marquardt algorithm with 15 neurons, for the Bayesian Regularization and for the Scaled Conjugate Gradient algorithm with 20 neurons in hidden layer. In our study, we focused on the long-term forecast of stationary dynamic time series data and on the large amount of data, which is presented as a scientific novelty. Additionally, we determined the main model parameters that most improve quality in terms of training and network capacity. Therefore, the derived forecasting model can be used as a priori for air quality management and regulations aimed on the reducing of pollutant level.

Neurosurgical Practice, Training, and Research Capacity Assessment in Nigeria: A Methodological Approach

There has been a progressive growth of neurosurgery in Nigeria over the past 6 nulldecades. This study aims to comprehensively evaluate the state of neurosurgical practice, training, and research in the country. We used a mixed-methods approach that combined a survey of neurosurgery providers and a systematic review of the neurosurgical literature in Nigeria. The 83-question online survey had 3 core sections for assessing capacity, training, and gender issues. The systematic review involved a search of 4 global databases and gray literature over a 60-year period. One hundred and forty-nine respondents (95% male) completed the survey (65.4%). Their age ranged from 20 to 68years, with a mean of 41.8 (±6.9) years. Majority were from institutions in the nation's South-West region; 82 (55.0%) had completed neurosurgery residency training, with 76 (51%) employed as consultants; 64 (43%) identified as residents in training, 56 (37.6%) being senior residents, and 15 (10.1%) each held academic appointments as lecturers or senior lecturers. The literature review involved 1,023 peer-reviewed journal publications: 254 articles yielding data on 45,763 neurotrauma patients, 196 on 12,295 pediatric neurosurgery patients, and 127 on 8,425 spinal neurosurgery patients. Additionally, 147 papers provided data on 5,760 neuro-oncology patients, and 56 on 3,203 patients with neuro-vascular lesions. Our mixed-methods approach provided significant insights into the historical, contemporary, and future trends of neurosurgery in Nigeria. The results could form the foundation for policy improvement; health-system strengthening; better resource-planning, prioritization, and allocation; and more purposive collaborative engagement in Nigeria and other low- and middle-income countries.

Exploring factors affecting clinical supervisors' capacity to train students during the COVID-19 pandemic

Background: The combination of the impact of the COVID-19 pandemic, increased pet ownership and recruitment difficulties in veterinary practice, has the potential to impact the clinical supervisor-led training of student veterinary nurses. Aims: This study explored the capacity for clinical supervisor-led training of student veterinary nurses and the factors contributing to reduced capacity. Methods: A questionnaire-based study of training managers in referral and primary care practice was performed, exploring difficulties encountered appointing clinical supervisors and with fulfilling the role, before, during and after the COVID-19 pandemic. Findings: There was a reduced capacity for clinical supervisor-led training of student veterinary nurses throughout and following the COVID-19 pandemic, primarily because of a lack of time for the role. Conclusion: Challenges faced in clinical supervisor-led training of student veterinary nurses have led to reduced capacity for training. Future research and innovation in clinical nursing education needs to address the lack of time for nurses to fulfil the clinical supervisor role.

The use of META (virtual simulations) in Canadian junior military leadership development

The use of META (virtual simulations) in Canadian junior military leadership development

Effect of HIIT on Motor Performance in Female Handball Players

Abstract: The aim of this study was to investigate the effects of interval training at four different intensities in addition to handball training for 8 weeks on aerobic-anaerobic, speed and agility pa-rameters in female handball players. Twenty female handball players (experimental group: 10; control group: 10) voluntarily participated in the studyThe experimental group trained in high-intensity interval training (HIIT) 3 days a week for 8 weeks in addition to handball training, while the control group was allowed to continue their standard training program. The anaerobic capacity, speed, and agility of the experimental and control groups were measured twice before and after an 8-week training program. The HIIT training program for the experimental group was adapted to the movements most commonly used in handball. The values of the data obtained from the handball players were analyzed. ANOVA for mixed measures was applied to determine the difference between the pre-test and post-test values of the experimental and control groups. There was a statistically significant difference (p < 0.05) between the pre and post-test values of the 20-m sprint test of the experimental and control groups of HIIT training for handball players, while there was no statistically significant difference between the pre and post-test values of the anaerobic capacity and agility test of HIIT training. In conclusion, it is recommended to include HIIT training in the training periodization of handball players during the season, and it is believed that it will have a positive effect on players' speed performance.

Multi-Objective Optimization of Process Parameters in Laser DED Ni-Based Powder on Steel Rail Using Response Surface Design

With the rise of global industrialization, the requirements for the operating speed and carrying capacity of high-speed trains are increasingly higher. Because the wear and tear of rails gradually increases during the running of high-speed trains, strengthening or repairing rail surfaces is of paramount significance. Laser-directed energy deposition (DED) exhibits significant advantages in improving surface hardness, corrosion resistance, and abrasion resistance. Because of the multiple interacting optimization objectives, the development of a multi-objective optimization method for process parameters is significant for improving DED deposition quality. Response surface design employs multivariate quadratic regression equations to fit the functional relationship between the factors and the responses, which can be employed to find the optimal process parameters and solve multivariate problems. This study develops a multi-objective optimization model with response surface design and 2D process mappings to visually analyze the effects of scanning speed, laser power, and powder feed rate on aspect ratio, dilution rate, and microhardness. The optimal combination of process parameters for Ni-based alloys on U71Mn rail is a laser power of 431 W, a scanning speed of 5.34 mm/s, and a powder feed rate of 1.03 r/min. In addition, a multi-physics field finite element model is developed to analyze the evolution mechanism of the microstructure from the bottom to the top of the single track. This study can provide theoretical and technical support for the surface strengthening or repair of U71Mn rail.

How an international research programme can contribute to improvements in the research environment: the perspective of doctoral students in sub-Saharan Africa.

The Africa Capacity Building Initiative (ACBI) programme aimed to 'strengthen the research and training capacity of higher education institutions and support the development of individual scientists in sub-Saharan Africa through UK-Africa research collaborations' including by funding PhD studentships. We conducted research to understand students' experiences and to see how consortia-based programmes such as ACBI and their own institutions can enhance PhD students' research environment and progress. In-depth interviews with 35 ACBI-funded PhD students explored their perspectives about how their research and personal development benefitted from belonging to a research consortium. Questionnaires were used to corroborate interview findings. Students recognised that membership of a research consortium provided many benefits compared to less well-resourced peers. By drawing on the programme and consortiums' resources, they were often able to overcome some limitations in their own institution's systems and facilities. Through their consortia they could access a wide range of international expertise and support from mentors and colleagues for their technical and psychosocial needs. Multiple consortia opportunities for engaging with the international scientific community and for networking, gave them confidence and motivation and enhanced their career prospects. Our study and its recommendations highlight how the breadth and diversity of resources available to PhD students through research consortia can be harnessed to facilitate students' progress and to create a supportive and conducive research environment. It also underlines how, through a multi-level approach, consortia can contribute to longer-term improvements in institutional research environments for PhD students.

How the training pathways and capacity of rural physicians inform their scope of practice: A qualitative study examining the experiences of Australian and international medical graduates in South-East New South Wales, Australia.

Current strategies to address shortages of rural doctors focus on developing a pipeline for rural generalist practice. Limited research has explored how doctors' professional journey engenders the skills required to practice rurally. This paper analyses how rural general practitioners' clinical pathway informs their scope of practice and future retention. Qualitative thematic analysis using semi-structured telephone interviews. Twenty-one general practitioners appointed in their local health district of Murrumbidgee and Southern New South Wales, Australia, within the past 10 years. Participants comprised 10 Australian medical graduates (AMG) and 11 international medical graduates (IMG). AMGs and IMGs contrasted how their pathway into rural practice, and capacity to work rurally, informed their scope of practice. Australian medical graduates' familiarity with rural areas was consolidated through congruous experiences, including at rural clinical schools. Paradoxically, the fluency of their training limited the amount of unsupervised experience and confidence AMGs gained. Together with a focus on work-life balance, this limited many to providing mainstream general practice, precluding extending their scope of practice. International medical graduates described disseminated experiences, often unsupervised in high-volume contexts. However, a lack of professional opportunities prevented them from extending their scope of practice. IMG and AMG motivation and pathway for working rurally differ. Respective cohorts have concerns regarding requisite skills and knowledge for rural practice, which incorporates opportunity and recognition. Entry points for training should be variable to allow consideration of life stage, prior skill development and extension of scope of practice. Doctors' scope of practice is informed by their pathways into rural practice. Australian medical graduates may not gain adequate competence during expedited training programs to confidently undertake extended clinical activities. International medical graduates, however lacked the opportunities and support, to utilise their expertise in rural practice. Complementarily utilising the expertise and commitment of both AMGs and IMGs may synergistically address workforce shortages.

Design Some Stem Topics Integrating AI & IoT Technology in Teaching Informatics and Technology Grade 10

According to the current general education program in Vietnam, in addition to the clear goal of program development, STEM education is specifically oriented to be applied at all levels of high school education to develop qualities and abilities. students have promoted interdisciplinary education in the fields of science, technology, engineering and mathematics. In addition, according to Official Dispatch No. 3089/BGDDT-GDTrH, dated August 14, 2020 of the Ministry of Education and Training on implementing STEM education in secondary education [5]. STEM education content is an educational method to equip students with scientific knowledge associated with their application in practice, thereby contributing to the formation of students' qualities and abilities. In particular, for the subject of Informatics and Technology, which converges all four elements of STEM education, the subject of Informatics and Technology plays a central role in connecting other subjects. In particular, designing STEM topics that integrate AI & IoT technology will help you understand real-world applications and understand the operating principles of control circuits, understanding automation to help monitor equipment well. more, career orientation and training creative thinking skills and capacity development for students. In particular, to achieve this content, the authors would like to sincerely thank Hung Vuong University, Phu Tho for creating conditions for the author to conduct research on this article under the topic code HV24.2023.