77 results about "Training needs" patented technology

The invention discloses an intelligent oral English training system and method based on Prompt engineering, and relates to the technical field of oral English training. According to the method, a user is allowed to freely describe training requirements by using a natural language, the system automatically constructs a training Prompt, and personalized customization is realized; content deviating from a training target is accurately recognized through a deviation question detection module, a user is guided to return to a theme through real-time voice or text, and effectiveness and pertinence of training are guaranteed; a clear template definition ensures systematicness and reproducibility of a training task, and clear control and evaluation of a teaching target are facilitated; in combination with voice recognition, voice synthesis and text generation, natural interaction in a real context is realized, and the training experience is improved; on the basis of multi-dimensional automatic evaluation of a keyword hit rate, pronunciation quality and the like, personalized learning suggestions are supported; teachers are supported to generate training tasks in batches, students are supported to customize scenes, and different education environment requirements are met.

The invention discloses a medical training evaluation method and system based on an intelligent simulation patient, and relates to the field of artificial intelligence technology and medical simulation, and the method comprises a virtual patient model construction step, a multi-modal perception step, an intelligent interaction step and an intelligent evaluation step. By integrating voice recognition, natural language understanding, facial expression recognition, gesture recognition and virtual reality technologies, a high-simulation and high-interactivity intelligent patient model is constructed for medical students or clinical medical staff to perform diagnosis and treatment training and skill operation assessment. The virtual patient model supports custom information such as age, gender, race, medical history, living habits and the like, different virtual patient images and different pathophysiological states are generated, and personalized learning requirements of users are met. In addition, targeted training suggestions are provided, the training difficulty and content can be adjusted according to the performance of the user, and different training requirements are met.

The invention discloses a new line training demand analysis method based on data driving, and relates to the technical field of computers. The method aims at solving the problems that training demand analysis depends on subjective experience, data islands are serious, response lags and quantitative prediction models are lacked in the prior art. The method comprises the steps of collecting and integrating multi-source heterogeneous data such as physical assets, human capital and process knowledge; constructing a time sequence dynamic association map representing the preparation state; predicting a future preparation state by using the space-time diagram neural network model; quantizing a personnel capability gap based on the prediction result and the operation baseline, and generating a capability gap matrix; performing priority ranking and clustering on the training requirements in combination with the key weight of the system to form a structured training theme; and dynamically generating a training plan, and updating the atlas in a closed-loop manner through training feedback data. Accurate prediction, quantitative evaluation and adaptive optimization of training requirements are realized, and scientificity and foresight of new line preparation are improved.

The invention relates to the crossing field of a medical rehabilitation training technology and a computer simulation technology, in particular to a postpartum rehabilitation simulation training demonstration device and a use method thereof. The training assembly comprises a dredging massage piece, a uterus simulation piece and a moxibustion piece which are arranged in the model body; the driving assembly comprises a transmission piece and a pressing piece; the transmission piece comprises an external connection block arranged in the model body and a transmission groove formed in the upper end face of the external connection block. The pressing piece comprises a lower pressing shaft arranged on the inner wall of the model body and a rotating shaft arranged on the inner side of the lower pressing shaft; massage rehabilitation of the abdomen, the mammary gland and the uterus can be achieved through a plurality of components in the training assembly, the training requirements of personnel are met, meanwhile, downward pressure is converted into power of the triggering assembly through the pressing piece, and whether the force is appropriate or not is judged through responses of the response pieces at different positions; and the accuracy of the pressing position and force during personnel training is improved.

The present application relates to the field of artificial intelligence technology, and in particular to a method for training and generating personalized digital devices based on multimodal information fusion. The method comprises: generating an initial intelligent agent and multiple demand scenarios based on a training data packet, and constructing a training model based on all demand scenarios; obtaining a user's feature data packet, and setting a first-level training strategy based on the feature data packet and the training model; generating a first-level intelligent agent based on the first-level training strategy; generating a training data packet by collecting multimodal data, constructing an initial intelligent agent and multiple user demand categories based on the training data packet, establishing corresponding demand scenarios based on different user demand categories, and setting training sub-strategies corresponding to each demand scenario, thereby achieving personalized training needs for different types of users. The method collects long-term user preference data to iteratively train the initial intelligent agent, constructs a first-level intelligent agent that adapts to the user, and improves the user's interactive experience.

The invention discloses a video-based omni-directional remote rehabilitation training system, a video-based omni-directional remote rehabilitation training method and a medium, which are characterized in that a digital standardized training video library classified according to four stages of PT physical therapy is established, and more than 700 digital standardized training videos such as joint activity, balance training, gait correction and the like are covered; it is ensured that the training content is scientific and covers the whole period and all directions of rehabilitation training; rehabilitators generate personalized training schemes in combination with rehabilitation scene types (hospitalization / home / community / old-age care institutions) and clinical data and in combination with remote video evaluation of the rehabilitators, and training requirements in different environments are met. By capturing actions of limb joint angles, joint point motion trails and muscle force changes, a training action deviation rate is calculated and is fed back and output to a rehabilitation teacher in a grading manner, so that the training standardability is remarkably improved; rehabilitators can manage multiple patients online at the same time, remotely check training percentage data, adjust schemes and generate rehabilitation notes, and efficient, accurate and personalized rehabilitation guidance services are provided for the patients.

The present invention provides a method and system for intelligent recommendation and scheduling of training resources, relating to the field of data processing technology. The method comprises: obtaining a position data set and a resource data set, determining subject association relationships and position mapping relationships based thereon, extracting subject constraint information and position dependency information, performing time matching between the training requirement duration of each subject and the available resource duration, obtaining a set of candidate scheduling pairs, performing resource conflict detection, removing conflicting pairs, and sorting them according to position dependency information, extracting a set of candidate resources corresponding to each subject, calculating a score for each candidate resource, obtaining a resource score set, selecting the resource identifier with the largest score in each subject as a recommended resource, and obtaining scheduling plan data. The present invention can make a comprehensive judgment on resource scheduling when resources are limited.

A height reach device includes a support frame and a main body. The support frame includes a first vertically erected component, a second component connected to the lower end of the first component and inclined upwards away from the first component, and a third component supported between the first and second components. The main body includes an integrally formed touch portion and a connecting portion. The first component connects to an external supporting facade. The second component has a slide rail extending along its inclined direction. The connecting portion is slidably connected to the slide rail. The touch portion is located on the side of the connecting portion away from the second component. When the connecting portion moves relative to the slide rail, the height of the touch portion and the distance between the touch portion and the first component can be changed. Because the height of the touch portion and the distance between the touch portion and the supporting facade are adjustable, this height reach device can meet the training needs of people at different heights and reduce the probability of people hitting the supporting facade, ensuring safe use.

The invention discloses a training evaluation method, device, equipment and program product. According to the scheme, the method comprises the steps of performing semantic analysis on training requirement description input by a user based on a natural language processing technology, and constructing an evaluation dimension system comprising a plurality of evaluation dimensions and logic relationships among the evaluation dimensions; for each evaluation dimension in the evaluation dimension system, selecting an adaptive target evaluation model from a plurality of corresponding candidate evaluation models to generate a model scheduling strategy for mapping each evaluation dimension to the corresponding target evaluation model; wherein the candidate evaluation model is used for executing evaluation calculation of the evaluation dimension to which the candidate evaluation model belongs. And according to the model scheduling strategy, calling a corresponding target evaluation model to evaluate the training process data, and obtaining an evaluation result corresponding to each evaluation dimension. And according to the logic relationship in the evaluation dimension system, integrating the evaluation result of each evaluation dimension, and generating a target evaluation result for the training process data.

The invention discloses a trainer for training bicycle pattern riding and an operation method thereof.The trainer comprises a trainer body (comprising a trainer front fork, a main frame and a pedal mechanism), a positioning training mechanism, an anti-turning mechanism and a gravity center leaning mechanism, and the positioning training mechanism is composed of two wheels, two drop-shaped tires and a first supporting shaft; the water-drop-shaped tire is installed on a wheel hub, the tip end of the water-drop-shaped tire has a lifting angle alpha around the axis of the first supporting shaft, and alpha ranges from 0 degree to 60 degrees. All the components are matched with one another to form a complete training system, and the training requirements of riders at different levels can be met. Through symmetrical layout of double wheels, special design of water-drop-shaped tires, a difficulty-adjustable system and a multifunctional auxiliary mechanism, the problems of potential safety hazards and technical faults in pattern riding training are solved, multi-scene training including rear wheel bicycle fixing, front wheel bicycle fixing, handlebar rotating and the like is supported, and the multi-scene riding training device is suitable for being used by riders of different levels.

This invention discloses a training device for fire protection installation skills, belonging to the field of fire protection training technology. It includes a training cabinet, which is a hollow rectangular box. Multiple sets of sensors are fixedly installed at the front end of the cabinet using screws. Cable slots are provided on both sides of the cabinet at the corresponding sensor positions. The sensors can be quickly disassembled and fixed using modular components. Tightening the screws moves the abutment block, causing the first pull rod to pull the clamping arms closer together along the first guide rod. The triangular clamping blocks on the clamping arms can accommodate screws of different sizes, improving clamping force and compatibility. Simultaneously, a first compression spring automatically resets the abutment rod and clamping arms. Loosening the screws completes sensor disassembly without manual reset, simplifying the operation process and meeting the training needs of repeated disassembly and assembly. This allows trainees to efficiently practice sensor installation and fixing operations, closely matching actual fire protection installation scenarios and improving the practicality and efficiency of the training.

This invention belongs to the field of medical teaching aids technology, specifically a cardiopulmonary resuscitation (CPR) first aid skills training device, including a head training module, a neck connection module, a chest training module, a base platform, and a control module. The head module includes a head shell, a simulated oral cavity, an angle sliding shaft, and a sensing unit. The neck module is equipped with an automatic closing device to achieve coordinated airway opening and closing. The chest module incorporates a compression simulation unit, a vibration module, and electrode pressure pads. The control module coordinates data transmission and feedback from all units. This invention solves the problems of existing CPR training devices, such as limited functionality, inaccurate operation detection, unrealistic scenario simulation, delayed feedback, and scattered assessment data. These devices fail to provide comprehensive error correction guidance for trainees, struggle to recreate realistic scenarios such as airway obstruction and insufficient ventilation, resulting in poor training effectiveness and failing to meet the needs of precise clinical emergency training. This invention achieves accurate capture of the entire operation process, real-time feedback, and standardized assessment, improving the professionalism and practicality of the training.

The invention provides a hand rehabilitation training control system and method, and relates to the technical field of rehabilitation medicine. The system comprises a client, a main control unit, a power mechanism and a plurality of training suites, the client is used for determining a target training function, generating a training instruction according to the target training function and issuing the training instruction to the main control unit, and the training instruction is used for indicating a target training suite corresponding to the target training function; and the main control unit is used for controlling the power mechanism to rotate according to the training instruction so as to drive the target training suite to execute the training action. According to the rehabilitation training device, the multiple training suites can share one main control unit and one power mechanism, the equipment complexity and cost are reduced, different training suites can execute different training actions, the training requirements of multiple parts such as hand, wrist and forearm training are met, personalized and precise rehabilitation training tasks are completed, and the rehabilitation training efficiency is improved. The problem that an existing hand function rehabilitation training device cannot meet comprehensive and systematic hand function rehabilitation requirements is solved.

The invention discloses a lung respiratory training device for thoracic surgery recovery, and relates to the technical field of respiratory training equipment, the lung respiratory training device comprises a training cylinder, an inspiration end cover and an expiration end cover, a training block is slidably arranged in the training cylinder, end cover covers are rotatably arranged on the inspiration end cover and the expiration end cover, and a mouth sealing cover is arranged on each end cover cover; a plurality of evenly-distributed adjusting grooves are formed in the end, close to the inspiration end cover, of the training cylinder, an adjusting part used for adjusting the initial sliding resistance of the training block is arranged on the training cylinder, a driving mechanism used for providing power for the adjusting part is arranged on the inspiration end cover, and a connecting part is arranged on an end cover cover on the expiration end cover. According to the device, the adjusting part is arranged, so that the device can adjust the initial resistance of a training block sliding in a training cylinder, then the device can meet the training requirements of inspiration and expiration of a patient in different recovery processes, and the application range of the device is widened to a certain extent.

The invention relates to an electronic file security management method and system based on big data, and belongs to the field of big data. The method comprises the steps that the number of decommissioned persons is N, N is a positive integer, and an electronic file of each decommissioned person at least comprises a resume item, an assistance item and an activity item; wherein the resume item comprises a work and study item, an address and contact way item, a service unit category and name item, a service age item and a complement and honor item; the assistance items comprise disease categories, disability categories and pacifying categories; the activity items comprise an ascending item, an employment demand item, a recruitment demand item and a training demand item; the electronic file data of the N retired persons are stored in the service center; the service center marks the electronic archives of the N retired persons; and retired personnel inquire and manage the electronic archive data through the terminal. According to the method, the electronic file data is isolated, so that the data security is improved, and the service and guarantee level of retired personnel is improved by performing sub-item labeling on the electronic file.

The invention discloses a CTC simulation practical training emergency disposal process task issuing method and system, and relates to the technical field of railway dispatching simulation practical training, and the method comprises the following steps: S1, a teacher imports a scheduling table of a dispatching station into a CTC simulation practical training system for visual interface display; s2, based on visual interface display, the teacher formulates a reasonable emergency disposal process task for the student and sets task basic information; s3, the teacher stores, modifies, exports and deletes the emergency disposal process task; s4, issuing an emergency disposal process task corresponding to the trainee, and enabling and completing the task by the trainee; and S5, carrying out training task training condition statistics and query. According to the invention, tasks can be distributed in a personalized manner, the training time and training tasks of trainees are reasonably arranged, and the flexibility of training task configuration and the objectivity of evaluation are improved. The problems that a traditional system is single in task issuing mode, generally, only the same task content can be set for all trainees, and personalized training requirements cannot be met are solved.

The application discloses a fusion enterprise training course intelligent diagnosis recommendation system of deep learning, including: including: course data multidimensional acquisition module, student behavior characteristic extraction module, training demand intelligent diagnosis module, deep learning course matching module, recommended result dynamic optimization module, system running state monitoring module; through multidimensional acquisition of internal and external courses and student behavior data, deep pattern and preference are mined through feature extraction, knowledge short board and potential demand are determined through hierarchical analysis of the training demand intelligent diagnosis module, a multidimensional correlation model is constructed through the deep learning course matching module to realize accurate matching, the recommended result dynamic optimization module is combined to iteratively adjust the scheme according to real-time feedback, and the system running state monitoring module guarantees stable and efficient operation of each link. The system effectively improves recommendation accuracy and dynamic adaptability, improves training resource utilization, and meets the personalized and efficient demand of enterprise talent training.

The invention discloses a training demand mining method based on user behavior data, and relates to the technical field of demand mining, and the method constructs a multi-dimensional and three-dimensional user behavior data collection network structure, improves the recognition precision and coverage dimension of user training demands, and improves the recognition efficiency through three-dimensional portrait reconstruction. Complex ability development tracks and personalized learning features of users can be comprehensively captured, so that efficient and accurate training demand recognition decision is realized, training accuracy and return on investment in a talent training process are remarkably improved by analyzing training urgency points and training value points, and meanwhile, the training efficiency is improved. By constructing a personalized training demand recognition mechanism, continuous damage of blind training to resource allocation efficiency is effectively prevented, user capability weakness can be accurately positioned according to actual behavior data, the optimal training duration can be calculated, and resource waste and training fatigue caused by overtraining are avoided.

The invention relates to a catenary equipment training system and a control method. Comprising a high-simulation hardware simulation module, an intelligent teacher machine management module, a multi-terminal student practical operation system module, a WebAPI data communication server module, an automatic evaluation system module, a central control and display system module and a data storage module in bidirectional data connection with the WebAPI data communication server module. According to the catenary equipment training system, 1: 1 high-simulation hardware is adopted to simulate a typical structure of a catenary, the operation process and mechanical feedback are truly restored, and the training immersion and the practical operation pertinence are improved; multi-terminal cooperative training is supported, multi-person and multi-project training can be carried out at the same time, and the training requirements of trainees of different levels are met in combination with switching of multiple practical training strategies; through the technical means of high-simulation hardware simulation, intelligent teacher management, multi-terminal collaborative practical operation, automatic evaluation, data visualization and the like, standardization, intelligence and safety of special repair training of the overhead line system are achieved, and the training efficiency and the talent training quality are improved.

The invention relates to the technical field of auxiliary music exercise equipment, and discloses a music breath exercise device, which comprises a flow guide pipe, the flow guide pipe is arranged in an L shape, the inner wall of the flow guide pipe is slidably connected with a piston piece, the piston piece is fixedly provided with a piston rod, and the piston rod movably penetrates through the top end of the flow guide pipe; and the counterweight assembly comprises a counterweight block arranged above the flow guide pipe. A flow guide pipe is matched with a piston piece, a piston rod and a counterweight assembly to form basic training resistance, an adjusting screw of the resistance adjusting assembly, a pressing plate and a first spring are combined to form composite training resistance in an overlapped mode, a user controls the compression amount of the spring by rotating an adjusting knob, and the number of balancing weights is increased or decreased; therefore, breath output requirements of different intensities can be simulated, a user is helped to gradually improve breath stability, continuity and explosive power, the whole device is compact in structure and convenient to operate, the training effect is visual and controllable, and therefore breath strengthening training requirements of music practicers of different levels can be met.

The utility model discloses rehabilitation training equipment for the neurology department. The rehabilitation training equipment comprises a core shell. A sliding blind hole shell is arranged on an upper plate of the square frame in a sliding manner; the middle of a lower plate of the core shell protrudes upwards to form a containing part, a fixed core nut is fixedly arranged on the upper portion of the containing part, a core screw is arranged on the fixed core nut, an auxiliary movable nut is arranged on a stud part of the core screw, and the auxiliary movable nut is in threaded fit with the stud part of the core screw. The auxiliary movable nut is provided with a spring, and the top of the spring abuts against the lower side of the inner top wall of the sliding type blind hole shell. Personalized training intensity adjustment: the user can freely adjust the compression degree of the spring by adjusting the position of the auxiliary movable nut, so that the force required for pressing the cushion body is changed. The personalized setting ensures that the equipment can adapt to different rehabilitation stages and different individual training requirements, so that the rehabilitation process is more scientific and efficient.

The invention relates to the technical field of medical rehabilitation, in particular to a control system and equipment suitable for lower jaw rehabilitation exercise and a storage medium, a control unit with an MCU as a core is matched with a driving module and a force sensor signal module, accurate control and real-time monitoring of training actions and strength can be achieved, and the individual training requirements of patients are met; through the background management module and the cloud storage unit, comprehensive recording, long-term storage and professional analysis of training data are achieved, medical staff can dynamically adjust a scheme, and a patient can visually know the rehabilitation progress; bLE Bluetooth wireless connection is adopted, wired constraint is not needed, and a patient can flexibly operate the user use module; meanwhile, by means of visual display of the training plan and the assessment result, the operation threshold is lowered; the dual protection circuit of the charging and discharging management module effectively prevents the battery from being overcharged and overdischarged, prolongs the service life of equipment, and guarantees the use safety.

The invention discloses a training content generation method and device, equipment and a storage medium. The method comprises the following steps: acquiring target training demand information and user skill level information corresponding to a to-be-trained target energy storage user; performing knowledge graph mapping based on the target training demand information and the user skill level information, and determining a target training label set corresponding to the target energy storage user; and inputting the target training label set into a training content generation model for training content generation, and obtaining target training content information corresponding to the target energy storage user. According to the method, efficient generation of the training content for the energy storage equipment can be realized, the efficiency and flexibility of generating the training content are greatly improved, and the interpretability of personalized demands of users is improved, so that accurate matching and safe adaptation of the training content in a complex user scene cannot be ensured, and the training efficiency and satisfaction of the users are improved.

This invention discloses a training refractive modulation device and method that can adapt to visual axis deviation. Its structure includes a protective shell, a protective cover, a charging port, training glasses, and a charging base. The protective cover and protective shell slide together. The training glasses include a nose pad, an adjustable lens, a speaker, a charging head, a control terminal, temples, an adjustment rod, and a power switch. The nose pad is connected to the control terminal housing via the adjustment rod. The top of the adjustable lens is installed inside the control terminal. The speaker, charging head, and control terminal housing are integrated into a single structure, providing precise refractive modulation adaptation capabilities. A wireless connection is established between the mobile phone and the control terminal's control system. Users can precisely set target refractive power parameters according to their training needs. Stable optical coupling is formed by the annular optical diffraction microgrooves on the inner and outer lenses' relatively inner surfaces. After precise adjustment to the set refractive power, the device remains fixed, creating a deviation-free optical modulation environment for the trainee and ensuring the accuracy and effectiveness of visual function training.

The invention relates to the technical field of logistics learning systems, discloses an AI-based logistics personalized learning path recommendation system, and solves the problems that an existing logistics learning path recommendation system does not have the capabilities of precise personalization, real-time content, dynamic path and comprehensive evaluation, so that the learning efficiency and skill conversion effect are reduced, and the learning difficulty is reduced. The system comprises a logistics learner multi-dimensional portrait acquisition module, a logistics industry knowledge graph construction and real-time updating module, an AI intelligent demand matching and skill gap analysis engine, a personalized learning path generation and dynamic optimization module, and a scenarized learning content intelligent pushing module. The logistics learning path recommendation system has the capabilities of accurate individuation, real-time content, dynamic path and comprehensive evaluation, so that the learning efficiency and the skill conversion effect are improved, and the requirement of the logistics industry for specialized talent training is met.

This invention provides a training platform and method for air combat command and decision-making intelligent agents, comprising: a support layer: providing general hardware and software support for modeling, training, demonstration, and verification of command and decision-making intelligent agents, as well as system confrontation modeling and simulation; a resource layer: building a combat simulation model library based on a general simulation platform to quickly build a learning environment to meet different air combat command and decision-making intelligent agent training needs, and building an intelligent agent model library based on a general reinforcement learning platform to meet different command and decision-making intelligent agent training needs; and an application layer: decomposing actual command and decision-making problems according to the application needs of combat command and decision-making intelligence, and specifically integrating intelligent agent training application systems to carry out parallel training of command and decision-making intelligent agents and related technology verification applications. This invention flexibly and quickly constructs intelligent agents and their learning environments, and, guided by military business rules, combines multi-agent parallel training with large scenario samples to improve the training efficiency and generalization and expansion capabilities of command and decision-making intelligent agent models.

The invention relates to a high-simulation upper digestive tract endoscope training simulator based on clinical data, and belongs to the technical field of medical training simulation.The high-simulation upper digestive tract endoscope training simulator comprises an outer frame, a fixed model, an upper digestive tract model, a simulated oral cavity inlet and an external power source, the head outer frame and the chest and abdomen outer frame are integrally manufactured. The training simulator can provide a highly-simulated endoscope operation environment, adopts high-precision 3D modeling and printing, performs three-dimensional reconstruction based on inflatable CT image data, realizes high-precision manufacturing of a model through a 3D printing technology, can precisely restore an anatomical structure of an upper digestive tract, provides real visual and tactile feedback, and is high in practicability. The system supports the simulation of various lesions, meets the training requirements of doctors at different levels, remarkably improves the endoscope operation skills, reduces the medical risk, and has an important clinical application value.

This invention relates to the field of acupuncture simulation technology. Specifically, it relates to a method for simulating acupuncture at TCM acupoints for pulsed electrotherapy training. The method includes the following steps: S1, collecting training needs from the user and inputting these needs into an acupuncture simulation device; S2, establishing a human morphology database. This invention analyzes human body vibration data under different current intensities based on human morphology data and a list of training acupoints, sets trigger rates, and establishes standard acupuncture data for each acupoint. During training, simulated needle position data is combined with an optical image to generate training acupuncture data. The trigger rate of the human body vibration data is dynamically adjusted based on the deviation of the training acupuncture data. Simultaneously, the optical image and standard acupuncture data are adjusted based on the triggered human body vibration data, highly simulating the human body's reaction during real acupuncture and providing trainees with a training experience close to clinical practice.

This invention provides a pickleball intelligent training robot and its interactive training method, belonging to the technical field of intelligent sports training equipment. The robot includes a frame, a ball storage and serving system, a multi-degree-of-freedom robotic arm, a visual acquisition system, a visual prompting system, a central processing unit, a human-computer interaction module, a cloud communication unit, a health and safety monitoring module, an autonomous mobile chassis, and a solar-powered auxiliary power supply module. Its core functionality lies in capturing player movements, ball trajectories, and facial expressions in real time through the visual acquisition system. The central processing unit, based on a deep learning model, integrates multi-dimensional analysis of the player's hitting habits, biomechanical posture, emotional state, and physiological indicators, and calls upon cloud data to dynamically generate and adjust personalized training strategies in real time. This invention achieves highly human-like, personalized, interactive, and safe intelligent pickleball training, suitable for training needs across all scenarios from amateur enthusiasts to professional athletes, significantly improving the scientific rigor, relevance, and sustainability of training.