Effects of systematic cardiac rehabilitation training in elderly patients with unstable angina following cardiac stent implantation

BACKGROUND Coronary stent implantation is usually used to treat unstable angina to alleviate stenosis or occlusion,promoting blood flow restoration and alleviating symptoms such as myocardial ischemia.And postoperative cardiac rehabilitation is essential for enhancing recovery and prognosis.Nevertheless,conventional rehabilitation lacks specificity,particularly for elderly patients with multiple comorbidities and poor compliance,rendering it less effective.AIM To investigate the effects of systematic cardiac rehabilitation training in elderly patients with unstable angina following coronary stenting intervention.METHODS A retrospective enrollment was conducted comprising fifty-four elderly patients with unstable angina pectoris who underwent systematic cardiac rehabilitation training after receiving coronary intervention as the rehabilitation group,while fifty-three elderly patients who received basic nursing and rehabilitation guidance measures after coronary intervention were assigned to the control group.Differences in Seattle Angina Questionnaire scores,survival quality(SF-36)scores,cardiopulmonary exercise function assessment index,echocardiographic cardiac function index,and adverse cardiovascular events were compared between the two groups.RESULTS After intervention,the rehabilitation group observed greater VO2 Max,maximum metabolic equivalent,eft ventricular ejection fraction,left ventricular end-diastolic diameter and smaller left ventricular end-systolic diameter.And the rehabilitation group observed greater scores of physical activity limitation,stable angina pectoris,treatment satisfaction,and SF-36 score.The incidence of adverse cardiovascular events in the two groups,showed no significant difference.CONCLUSION Systematic cardiac rehabilitation following coronary stenting in elderly patients with unstable angina pectoris can enhance cardiac function recovery,consequently enhancing both quality of life and cardiopulmonary exercise tolerance.

CDIO Based Optimization of Urban Planning Personnel Training Courses in Forestry Universities

On the basis of analyzing existing course system of urban planning discipline,this paper came up with a framework for optimization of urban planning personnel training mode and course system,oriented towards training practical engineering personnel and based on CDIO engineering education and teaching platform. Then it made empirical study on setting of the urban planning discipline in Northeast Forestry University. It proposed changing the original "3 + 2" course system,exploring and optimizing the course system,improving teaching effect of urban planning personnel training courses,and raising planning and design ability of students.

Application of Optimal-Jerk Trajectory Planning in Gait-balance Training Robot

To accommodate the gait and balance disorder of the elderly with age progression and the occurrence of various senile diseases,this paper proposes a novel gait balance training robot(G-Balance)based on a six degree-of-freedom parallel platform.Using the platform movement and IMU wearable sensors,two training modes,i.e.,active and passive,are developed to achieve vestibular stimulation.Virtual reality technology is applied to achieve visual stimulation.In the active training mode,the elderly actively exercises to control the posture change of the platform and the switching of the virtual scene.In the passive training mode,the platform movement is combined with the virtual scene to simulate bumpy environments,such as earthquakes,to enhance the human anti-interference ability.To achieve a smooth switching of the scene,continuous speed and acceleration of the platform motion are required in some scenarios,in which a trajectory planning algorithm is applied.This paper describes the application of the trajectory planning algorithm in the balance training mode and the optimization of jerk(differential of acceleration)based on cubic spline planning,which can reduce impact on the joint and enhance stability.

The training process： Planning for strength-power training in track and field. Part 1： Theoretical aspects

The process of strength-power training and the subsequent adaptation is a multi-factorial process. These factors range from the genetics and morphological characteristics of the athlete to how a coach selects, orders, and doses exercises and loading patterns. Consequently, adaptation from these training factors may largely relate to the mode of delivery, in other words, programming tactics. There is strong evidence that the manner and phases in which training is presented to the athlete can make a profound difference in performance outcome. This discussion deals primarily with block periodization concepts and associated methods of programming for strength-power training within track and field. 2015 Production and hosting by Elsevier B.V. on behalf of Shanghai University of Sport.

The training process： Planning for strength-power training in track and field. Part 2： Practical and applied aspects

Planning training programs for strength-power track and field athletes require an understanding of both training principles and training theory. The training principles are overload, variation, and specificity. Each of these principles must be incorporated into an appropriate system of training. Conceptually, periodization embraces training principles and offers advantages in planning, allowing for logical integration and manipulation of training variables such as exercise selection, intensification, and volume factors. The adaptation and progress of the athlete is to a large extent directly related to the ability of the coach/athlete to create and carry an efficient and efficacious training process. This ability includes： an understanding of how exercises affect physiological and performance adaptation （i.e., maximum force, rate of force development, power, etc.）, how to optimize transfer of training effect ensuring that training exercises have maximum potential for carryover to performance, and how to implement programs with variations at appropriate levels （macro, meso, and micro） such that fatigue management is enhanced and performance progress is optimized.

Exercise training in heart transplantation

Heart transplantation remains the gold standard in the treatment of end-stage heart failure(HF).Heart transplantation patients present lower exercise capacity due to cardiovascular and musculoskeletal alterations leading thus to poor quality of life and reduction in the ability of daily self-service.Impaired vascular function and diastolic dysfunction cause lower cardiac output while decreased skeletal muscle oxidative fibers,enzymes and capillarity cause arteriovenous oxygen difference,leading thus to decreased peak oxygen uptake in heart transplant recipients.Exercise training improves exercise capacity,cardiac and vascular endothelial function in heart transplant recipients.Pre-rehabilitation regular aerobic or combined exercise is beneficial for patients with end-stage HF awaiting heart transplantation in order to maintain a higher fitness level and reduce complications afterwards like intensive care unit acquired weakness or cardiac cachexia.All hospitalized patients after heart transplantation should be referred to early mobilization of skeletal muscles through kinesiotherapy of the upper and lower limbs and respiratory physiotherapy in order to prevent infections of the respiratory system prior to hospital discharge.Moreover,all heart transplant recipients after hospital discharge who have not already participated in an early cardiac rehabilitation program should be referred to a rehabilitation center by their health care provider.Although high intensity interval training seems to have more benefits than moderate intensity continuous training,especially in stable transplant patients,individualized training based on the abilities and needs of each patient still remains the most appropriate approach.Cardiac rehabilitation appears to be safe in heart transplant patients.However,long-term follow-up data is incomplete and,therefore,further high quality and adequately-powered studies are needed to demonstrate the long-term benefits of exercise training in this population.

Interactive plant simulation modeling for developing an operator training system in a natural gas pressure-regulating station

This study proposes a method of interactive plant simulation modeling which delivers the online simulated results to the field operators and induces them to take proper actions in the case of pre-identified accident scenarios in a chemical plant. The developed model integrates the real-time process dynamic simulation with 3DCFD accident simulation in a designed interface using object linking and embedding technology so that it can convey to trainees the online information of the accident which is not available in existing operator training systems.The model encompasses the whole process of data transfer till the end of the training at which a trainee operates an emergency shutdown system in a programmed model. In this work, an overall scenario is simulated which is from an abnormal increase in the main valve discharge（second）pressure due to valve malfunction to accidental gas release through the crack of a pressure recorder, and the magnitude of the accident with respect to the lead time of each trainee＇s emergency response is analyzed. The model can improve the effectiveness of the operator training system through interactively linking the trainee actions with the simulation model resulting in different accident scenarios with respect to each trainee＇s competence when facing an accident.

Training Mode of Applied Talents in Urban and Rural Planning Major

Facing the development and change of contemporary urban and rural planning discipline and social talent demand,it is imperative to develop the talent training of urban and rural planning major.Based on the teaching platform,this study constructed a perfect talent training mode,implemented modular teaching,took the occupation as the guidance,carried out the application-oriented talent training,and delivered high-quality professionals to the society.

COVID-19:Effect on gastroenterology and hepatology service provision and training:Lessons learnt and planning for the future

In late 2019,reports arose of a new respiratory disease in China,identified as a novel coronavirus,severe acute respiratory syndrome coronavirus 2.The World Health Organisation named the disease caused by the virus‘coronavirus disease 2019(COVID-19)’.It was declared a pandemic in early 2020,after the disease rapidly spread across the world.COVID-19 has not only resulted in substantial morbidity and mortality but also significantly impacted healthcare service provision and training across all medical specialties with gastroenterology and Hepatology services being no exception.Internationally,most,if not all‘nonurgent’services have been placed on hold during surges of infections.As a result there have been delayed diagnoses,procedures,and surgeries which will undoubtedly result in increased morbidity and mortality.Outpatient services have been converted to remote consultations where possible in many countries.Trainees have been redeployed to help care for COVID-19 patients in other settings,resulting in disruption to their training-particularly endoscopy and outpatient clinics.This has led to significant anxiety amongst trainees,and risks prolongation of training.It is of the utmost importance to develop strategies that continue to support COVID-19-related service provision,whilst also supporting existing and future gastroenterology and Hepatology services and training.Changes to healthcare provision during the pandemic have generated new and improved frameworks of service and training delivery,which can be adopted in the post-COVID-19 world,leading to enhanced patient care.

Training Plan for Software Engineering Top Talents Based on the Demand for High-end Talents in the Industry

The paper illustrates the reason of the lack of talents with outstanding innovative practice ability and engineering leadership has become a great obstacle for many industries, represented by the software industry, to develop along with the new era, and restricted the evolution of these industries toward the high end. With the target of training talents with innovation capacity and engineering leadership, the training plan for top talents based on the demand for high-end talents in the software engineering industry is put forward, and analyses are given on significant aspects including the development of the training resource system, the screening of students and the selection of enterprises, the teaching staff construction for university-enterprise cooperation, the establishment of a management system with joint effort for talents development, and the construction of process quality guarantee mechanism. In the end, for the implementation of the training plan, it is pointed out that the university-enterprise cooperative development mechanism should be perfected, the talents development practice should be enhanced, the personalized training of students should be emphasized, and the innovative ability in practice and the engineering leadership of students should be practically improved.

The influence of resistance exercise training prescription variables on skeletal muscle mass,strength,and physical function in healthy adults:An umbrella review

Purpose:The aim of this umbrella review was to determine the impact of resistance training(RT)and individual RT prescription variables on muscle mass,strength,and physical function in healthy adults.Methods:Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA)guidelines,we systematically searched and screened eligible systematic reviews reporting the effects of differing RT prescription variables on muscle mass(or its proxies),strength,and/or physical function in healthy adults aged>18 years.Results:We identified 44 systematic reviews that met our inclusion criteria.The methodological quality of these reviews was assessed using A Measurement Tool to Assess Systematic Reviews;standardized effectiveness statements were generated.We found that RT was consistently a potent stimulus for increasing skeletal muscle mass(4/4 reviews provide some or sufficient evidence),strength(4/6 reviews provided some or sufficient evidence),and physical function(1/1 review provided some evidence).RT load(6/8 reviews provided some or sufficient evidence),weekly frequency(2/4 reviews provided some or sufficient evidence),volume(3/7 reviews provided some or sufficient evidence),and exercise order(1/1 review provided some evidence)impacted RT-induced increases in muscular strength.We discovered that 2/3 reviews provided some or sufficient evidence that RT volume and contraction velocity influenced skeletal muscle mass,while 4/7 reviews provided insufficient evidence in favor of RT load impacting skeletal muscle mass.There was insufficient evidence to conclude that time of day,periodization,inter-set rest,set configuration,set end point,contraction velocity/time under tension,or exercise order(only pertaining to hypertrophy)influenced skeletal muscle adaptations.A paucity of data limited insights into the impact of RT prescription variables on physical function.Conclusion:Overall,RT increased muscle mass,strength,and physical function compared to no exercise.RT intensity(load)and weekly frequency impacted RT-induced increases in muscular strength but not muscle hypertrophy.RT volume(number of sets)influenced muscular strength and hypertrophy.

Cultivation of Planning Capacity and Qualification Training in Landscape Architecture Education

Based on the scope of landscape architecture profession and the depth of landscape architecture research,this paper proposes that the education of landscape architecture should focus on the training of students’planning capacity and qualification.It also puts forward some methods to improve students’planning capacity and qualification from the aspect of planning process,knowledge system,and curriculum.

Evaluation of Impact of Life-planning Skills Training among Senior High School Students in Shangcai County

Objective To evaluate the impact of sex and reproductive health education using lifeplanning skills training among senior high school students in a rural county. Methods The study was conducted in three senior high schools of Shangcai County with comparable socio-cultural, economic, and demographic characteristics, two as intervention sites and one as the control. A three-month life-planning skills training course was conducted among all grade one students in the intervention schools. The baseline survey was conducted prior to the intervention, once again three months after the intervention was initiated. Data were collected through questionnaires, FGDs and 1Dis to evaluate the effect of the intervention program. Results After the intervention, the median score of reproductive health knowledge was higher in the intervention group （55.66） than that in control group （38.68）. Students from the intervention group were also more comfortable with their developmental changes which were going through, In the end line survey, 92.70% of the students in the intervention group suggested that reproductive health education should be carried out among all middle school students in Shangcai County. Multivariate analysis also indicated that peers and family had a significant effect on students＇ sex-related knowledge, attitudes and behaviors. Conclusion Sex and reproductive health education via provision of life-planning skills training can significantly increase students＇ sex and reproductive health knowl- edge and was welcomed by students, teachers and parents.

Surgical intervention combined with weight-bearing walking training promotes recovery in patients with chronic spinal cord injury:a randomized controlled study

For patients with chronic spinal cord injury,the co nventional treatment is rehabilitation and treatment of spinal cord injury complications such as urinary tract infection,pressure sores,osteoporosis,and deep vein thrombosis.Surgery is rarely perfo rmed on spinal co rd injury in the chronic phase,and few treatments have been proven effective in chronic spinal cord injury patients.Development of effective therapies fo r chronic spinal co rd injury patients is needed.We conducted a randomized controlled clinical trial in patients with chronic complete thoracic spinal co rd injury to compare intensive rehabilitation(weight-bearing walking training)alone with surgical intervention plus intensive rehabilitation.This clinical trial was registered at ClinicalTrials.gov(NCT02663310).The goal of surgical intervention was spinal cord detethering,restoration of cerebrospinal fluid flow,and elimination of residual spinal cord compression.We found that surgical intervention plus weight-bearing walking training was associated with a higher incidence of American Spinal Injury Association Impairment Scale improvement,reduced spasticity,and more rapid bowel and bladder functional recovery than weight-bearing walking training alone.Overall,the surgical procedures and intensive rehabilitation were safe.American Spinal Injury Association Impairment Scale improvement was more common in T7-T11 injuries than in T2-T6 injuries.Surgery combined with rehabilitation appears to have a role in treatment of chronic spinal cord injury patients.

An Informative System Based on the Skill Gap Analysis to Planning Training Courses

By using the skill gap analysis we propose a new quantitative method to plan training courses. By comparing the differences between the competences needed to cover a position and the ones possessed, it is possible to find the cases that need to be trained. According to different situations we propose some algorithms to plan courses and to find the subjects that require to be trained.

Evolutionary Decision-Making and Planning for Autonomous Driving Based on Safe and Rational Exploration and Exploitation

Decision-making and motion planning are extremely important in autonomous driving to ensure safe driving in a real-world environment.This study proposes an online evolutionary decision-making and motion planning framework for autonomous driving based on a hybrid data-and model-driven method.First,a data-driven decision-making module based on deep reinforcement learning(DRL)is developed to pursue a rational driving performance as much as possible.Then,model predictive control(MPC)is employed to execute both longitudinal and lateral motion planning tasks.Multiple constraints are defined according to the vehicle’s physical limit to meet the driving task requirements.Finally,two principles of safety and rationality for the self-evolution of autonomous driving are proposed.A motion envelope is established and embedded into a rational exploration and exploitation scheme,which filters out unreasonable experiences by masking unsafe actions so as to collect high-quality training data for the DRL agent.Experiments with a high-fidelity vehicle model and MATLAB/Simulink co-simulation environment are conducted,and the results show that the proposed online-evolution framework is able to generate safer,more rational,and more efficient driving action in a real-world environment.

Application value research of swallowing treatment device combined with swallowing rehabilitation training in the treatment of swallowing disorders after stroke

BACKGROUND Stroke is a common disabling disease,whether it is ischemic stroke or hemorrhagic stroke,both can result in neuronal damage,leading to various manifestations of neurological dysfunction.AIM To explore of the application value of swallowing treatment device combined with swallowing rehabilitation training in the treatment of swallowing disorders after stroke.METHODS This study selected 86 patients with swallowing disorders after stroke admitted to our rehabilitation department from February 2022 to December 2023 as research subjects.They were divided into a control group(n=43)and an observation group(n=43)according to the treatment.The control group received swallowing rehabilitation training,while the observation group received swallowing treatment device in addition to the training.Both groups underwent continuous intervention for two courses of treatment.RESULTS The total effective rate in the observation group(93.02%)was higher than that in the control group(76.74%)(P=0.035).After intervention,the oral transit time,swallowing response time,pharyngeal transit time,and laryngeal closure time decreased in both groups compared to before intervention.In the observation group,the oral transit time,swallowing response time,and pharyngeal transit time were shorter than those in the control group after intervention.However,the laryngeal closure time after intervention in the observation group was compared with that in the control group(P=0.142).After intervention,average amplitude value and duration of the genioglossus muscle group during empty swallowing and swallowing 5 mL of water are reduced compared to before intervention in both groups.After intervention,the scores of the chin-tuck swallowing exercise and the Standardized Swallowing Assessment are both reduced compared to pre-intervention levels in both groups.However,the observation group scores lower than the control group after intervention.Additionally,the Functional Oral Intake Scale scores of both groups are increased after intervention compared to pre-intervention levels,with the observation group scoring higher than the control group after intervention(P<0.001).The cumulative incidence of complications in the observation group is 9.30%,which is lower than the 27.91%in the control group(P=0.027).CONCLUSION The combination of swallowing therapy equipment with swallowing rehabilitation training can improve the muscle movement level of the genioglossus muscle group,enhance swallowing function,and prevent the occurrence of swallowing-related complications after stroke.

Motion Planning for Autonomous Driving with Real Traffic Data Validation

Accurate trajectory prediction of surrounding road users is the fundamental input for motion planning,which enables safe autonomous driving on public roads.In this paper,a safe motion planning approach is proposed based on the deep learning-based trajectory prediction method.To begin with,a trajectory prediction model is established based on the graph neural network(GNN)that is trained utilizing the INTERACTION dataset.Then,the validated trajectory prediction model is used to predict the future trajectories of surrounding road users,including pedestrians and vehicles.In addition,a GNN prediction model-enabled motion planner is developed based on the model predictive control technique.Furthermore,two driving scenarios are extracted from the INTERACTION dataset to validate and evaluate the effectiveness of the proposed motion planning approach,i.e.,merging and roundabout scenarios.The results demonstrate that the proposed method can lower the risk and improve driving safety compared with the baseline method.

Ground threat prediction-based path planning of unmanned autonomous helicopter using hybrid enhanced artificial bee colony algorithm

Unmanned autonomous helicopter(UAH)path planning problem is an important component of the UAH mission planning system.Aiming to reduce the influence of non-complete ground threat information on UAH path planning,a ground threat prediction-based path planning method is proposed based on artificial bee colony(ABC)algorithm by collaborative thinking strategy.Firstly,a dynamic threat distribution probability model is developed based on the characteristics of typical ground threats.The dynamic no-fly zone of the UAH is simulated and established by calculating the distribution probability of ground threats in real time.Then,a dynamic path planning method for UAH is designed in complex environment based on the real-time prediction of ground threats.By adding the collision warning mechanism to the path planning model,the flight path could be dynamically adjusted according to changing no-fly zones.Furthermore,a hybrid enhanced ABC algorithm is proposed based on collaborative thinking strategy.The proposed algorithm applies the leader-member thinking mechanism to guide the direction of population evolution,and reduces the negative impact of local optimal solutions caused by collaborative learning update strategy,which makes the optimization performance of ABC algorithm more controllable and efficient.Finally,simulation results verify the feasibility and effectiveness of the proposed ground threat prediction path planning method.

An Evaluation of Training Needs of Supervisors of South African Chemical Weeding Plantation Forest Operations through Forester Perceptions

The success of an annual plan of operations （APO） for a plantation forest management unit （FMU） has great reliance on the capacity of field supervisors who execute it with workers. Foresters＇ perception of skills and performance levels of field supervisors in charge of chemical weeding operations, which are keys to integrated vegetation management strategies at FMUs, were evaluated through a researcher-administered questionnaire implemented through telephone interviews. The research focussed on chemical weeding, of which implementation quality impacts directly on operational costs, worker safety, negative environmental externalities and crop performance. The study was done to establish capacitation requirements （training needs） for the plantation forest sector in the Eastern Cape, Western Cape and KwaZulu-Natal provinces of South Africa. The results of the research identified skills gaps and emotional issues that could be addressed through training. Overall, chemical weeding field supervisors （CWFS） were adequately prepared to perform in most key result areas of planning and leadership. They, however, faced considerable challenges in functions related to controlling and organizing work. In all three provinces, the highest levels of performance inadequacy were in safety and team discipline. Some province-associated peculiarities in field supervisor performances were also identified. Remedial action that foresters recommended was related mostly to the need to strengthen technical and workplace culture management skills. It was observed that effective skills development in CWFS would require planned continuous improvement programmes.