Smart Training Research Articles

Evaluation of the Ei SMART training programme in the UK

IntroductionEarly intervention (Ei) is recommended for infants at high risk of neurodevelopmental challenges. Ei SMART is an evidence-based clinical reasoning framework supporting infant development by integrating Sensory, Motor, Attention and regulation, and Relational development through healthcare professionals (HCPs) and parents working Together. Aim: To evaluate learning outcomes following Ei SMART training. Methods34 staff members from one UK neonatal operational delivery network participated in face-to-face training, co-produced and co-presented by parents and HCPs via online modules/tutorials. Participants completed pre/post-training surveys. Questions quantified self-perceived understanding of Infant Development & Well-Being, Parent/Family Support and Engagement, and Staff Engagement & Well-Being. Total and Domain scores were compared pre/post-training. Results33/34(97%) respondents completed both pre-and post-training surveys; one respondent was excluded (incomplete data). Median (IQR) post-training score was significantly increased (152(22) v 108(26) (p < 0.001), as were domain scores. ConclusionEi SMART training provided measurable improvements in perceived learning for HCPs.

Designing and Developing an Interactive Syllabus for e-Business Training as Part of Design-Based Research

A syllabus is an arrangement of subjects and a plan for a course of study. It enables visualization of the big picture of the course structure. Syllabi play various valuable functions, including providing information about the communication mechanism between the teacher and students, a planning tool for instructors, a course plan for learners, a source for learning materials or additional readings, a guide that learners can use in their learning both in-class and out-of-class, and it can also serve as a contract or written agreement between learners and instructors or their institutions about learning outcomes. Education today is more interactive, and courses are increasingly multimedia-rich; therefore, syllabi need to be interactive as well. In designing and developing an interactive syllabus for Smart Training for Arabic-speaking Residents on Technology START e-Business Training, learners can visualize the structure of training, search its contents, access frequently asked questions, and explore additional resources. This paper discusses the best strategies used to design START e-Business Training&amp;apos;s interactive syllabus and the tools employed to develop it, as a core component of the design-based research DBR methodology. The paper also outlines some challenges in developing an interactive multimedia-rich syllabus, especially with accessibility features, and proposes solutions to overcome these challenges from the perspectives of educators and learning designers. Additionally, the paper explores the iterative process of feedback incorporation and continuous improvement essential to maintaining the syllabus&amp;apos;s relevance and effectiveness. By leveraging advanced technological tools and user-centric design principles, the interactive syllabus aims to enhance learner engagement and support diverse learning needs. The discussion includes an evaluation of the pedagogical impacts of the interactive syllabus and its potential to serve as a model for future educational design projects. Furthermore, the implications for broader application in various educational contexts are considered, highlighting the importance of adaptability and innovation in modern educational practices.

Implementation of a Smart Teaching and Assessment System for High-Quality Cardiopulmonary Resuscitation.

The purpose of this study is to develop a smart training and assessment system called SmartCPR, for teaching and training cardiopulmonary resuscitation (CPR), based on human posture estimation techniques. In this system, trainees can automatically recognize and evaluate whether chest compressions during CPR meet the standard of high-quality CPR by simply using a device such as a smart phone. Through the system, trainees are able to obtain real-time feedback on the quality of compressions so that they can adjust the cycle, depth, frequency, and posture of compressions to meet the standard of high-quality CPR. In addition, the SmartCPR system is convenient for CPR trainers. Trainers can instantly and accurately assess whether the trainee's compressions meet the standard of high-quality CPR, which reduces the risk of manual assessment errors and also reduces the trainer's teaching pressures. Therefore, the SmartCPR system developed in this study can be an important tool for CPR teaching and training for physicians, which can provide training and guidance for high-quality CPR maneuvers and enable trainees to become more proficient in CPR and self-training.

Development of Reading Skills for Thai Grade 1 Students Through Smart Training Application Innovation

This research aimed to create a smart training application innovation to develop Thai language reading skills for Thai grade 1 students, targeting an efficiency standard of 80/80. The study compared the reading abilities of Thai grade 1 students before and after using the application. These students were from the Network School of the Teacher Professional Experience Center, Faculty of Education, Loei Rajabhat University. Specifically, 13 students from Ban Na Si School were selected using purposive random sampling for the first semester of the academic year 2023. This school was intentionally selected due to its eagerness to implement this innovative approach. The study utilized two versions of the smart training application: one focused on words without tone marks and the other on consonant blend words. Four lesson plans were designed (two for each version), and a 20-question reading achievement test was administered. Through the E1/E2 value calculation and a t-test, it was deduced that the application surpassed the 80/80 efficiency standard, scoring 81.15/86.15. Furthermore, students exhibited a significant improvement in their reading skills after using the application, as evidenced by a higher post-study performance at a 0.05 significance level.

Omnidirectional Configuration of Stretchable Strain Sensor Enabled by the Strain Engineering with Chiral Auxetic Metamaterial.

An electromechanical interface plays a pivotal role in determining the performance of a stretchable strain sensor. The intrinsic mechanical property of the elastomer substrate prevents the efficient modulation of the electromechanical interface, which limits the further evolution of a stretchable strain sensor. In this study, a chiral auxetic metamaterial (CAM) is incorporated into the elastomer substrate of a stretchable strain sensor to override the deformation behavior of the pristine device and regulate the device performance. The tunable isotropic Poisson's ratio (from 0.37 to -0.25) achieved by the combination of CAM and elastomer substrate endows the stretchable strain sensor with significantly enhanced sensitivity (53-fold improvement) and excellent omnidirectional sensing ability. The regulation mechanism associated with crack propagation on the deformed substrate is also revealed with finite element simulations and experiments. The demonstration of on-body monitoring of human physiological signals and a smart training assistant for trampoline gymnastics with the CAM-incorporated strain sensor further illustrates the benefits of omnidirectionally enhanced performance.

The effect of smart training on a number skill complex variables the Ball for football players

The effect of smart training on a number skill complex variables the Ball for football players

프로젝트 기반 직업훈련에 대한 참여기업 인식 연구

Objectives The purpose of this paper is to identify the motives and roles of participating companies in KDT, analyze the satisfaction level of KDT education programs and project classes, and collect difficulties to suggest development plans for project-based vocational training.&#x0D; Methods For companies that participated in the KDT project in 2022, the motivation and role of participation were investigated, and satisfaction with the project, evaluation of the project's final output, and KDT-related difficulties and opinions for improvement were confirmed. Respondents were received from a total of 82 companies through the survey and descriptive statistical analysis was conducted. The same survey was conducted in 2021, and the responses of the pilot project and the main project were compared and analyzed by t-test.&#x0D; Results As a result of the analysis, companies showed a high participation rate in training planning and project guidance, and satisfaction with general classes and project classes were high, respectively. Statistically significant increases were also confirmed in trainee competency and learning attitude, which showed the lowest level of satisfaction. Enterprise field experts positively evaluated the final output of the project, and the project satisfaction of smart training, where training is conducted through an advanced platform, was high, indicating that project activities, monitoring, and mentoring using the platform are effective for the KDT project.&#x0D; Conclusions Through this study, we were able to confirm that KDT is being operated to meet the purpose of introduction and that project-based KDT training is effective. This study is expected to provide theoretical and practical implications for vocational training and project learning for fostering digital talent, and to provide a direction for system improvement.

A decision modeling approach for smart training environment with motor Imagery-based brain computer interface under neutrosophic cubic fuzzy set

A decision modeling approach for smart training environment with motor Imagery-based brain computer interface under neutrosophic cubic fuzzy set

Realization of Cloud Sharing Mode of Smart Training System Based on Intelligent Recommendation Algorithm of Legal Clauses

Realization of Cloud Sharing Mode of Smart Training System Based on Intelligent Recommendation Algorithm of Legal Clauses

Research on the design and application of intelligent teaching management system of intelligent training room in the background of internet

Abstract Higher vocational colleges and universities have recently been booming from number to scale. While the increase in enrollment scale and equipment value has brought great benefits to schools and greatly improved their teaching capacity, it has also brought problems to equipment management. In traditional practical training room management, problems such as low equipment utilization, work efficiency, and teaching efficiency are encountered. Along with the development of Internet technology, real-time monitoring and intelligent management of practical training rooms are possible. This paper firstly thus proposes the logical level, management dimensions, and information interaction contents of the intelligent, practical training management system to establish the architecture of the intelligent, practical training management system, and thus leads to the key technologies and methods for the design and establishment of the intelligent, practical training management system. Secondly, starting from the analysis of the training process, the bottom physical environment is sorted out in detail. The four dimensions of equipment status, consumables status, energy consumption status and teaching status of the smart training management system are collected in the information. The smart training management system model is established to analyze the data in a single dimension and derive effective information to help managers manage collaboratively. Finally, the model’s effectiveness is verified by applying the smart training room management system in Z higher education institutions in Xiamen. The study of Xiamen Z higher vocational institution in this paper shows that the use of an intelligent teaching management system effectively improves performance by 34.12%, the affiliation and utility rate of an Bar and coffee training room is better than the traditional training platform, and the influence parameter on the learning process of Xiamen Z higher vocational institution is found to be 79.62 through classification, which provides effective decision for teachers to implement differentiated teaching. The intelligent teaching management system proposed in this paper realizes data visualization of the training room equipment, provides data support for teachers to set differentiated teaching programs, improves teaching efficiency, improves students’ practical training skills through data-based analysis of problems in students’ practical training, and provides motivation for talent training in universities.

Effectiveness of the SMART training intervention on ankle joint function in patients with first-time acute lateral ankle sprain: study protocol for a randomized controlled trial

BackgroundThe lateral ankle sprain (LAS) is the most common injury in the field of everyday and sports-related activities. There is a high rate of patients with LAS who will develop chronic ankle instability (CAI). A possible explanation for this high rate is an insufficient rehabilitation and/or a premature return to intense exercise and workloads. Currently, there are general rehabilitation guidelines for LAS but there is a lack of standardized evidenced-based rehabilitation concepts for LAS, which effectively reduce the high CAI rate. The primary aim of the study is to investigate the effectiveness of a 6-week sensorimotor training intervention (SMART-Treatment, SMART) in contrast to standard therapy (Normal Treatment, NORMT) after an acute LAS on perceived ankle joint function.MethodsThis study will be a prospective, single-center, interventional randomized controlled trial with an active control group. Patients (14–41 years) with an acute LAS and a MRI confirmed lesion or rupture of at least one ankle ligament will be included. Exclusion criteria are acute concomitant injuries of the ankle, pre-injuries of the ankle, serious lower-extremity injuries of the last 6 months, lower-extremity surgery, and neurological diseases. The primary outcome measure will be the Cumberland Ankle Instability Tool (CAIT). Secondary outcomes include the Foot and Ankle Ability Measurement (FAAM), isokinetic and isometric strength diagnostics, joint repositioning sense, range of motion, measurements of postural control, gait and run analysis, and jump analysis. This protocol will follow the SPIRIT guidance.DiscussionCurrent management of LAS rehabilitation lacks since there is a high rate of patients developing a CAI. It has been shown that exercise therapy improves ankle function in acute LAS as well as in patients with CAI. It is further recommended to address specific impairment domains in ankle rehabilitation. However, empirical data for such a holistic treatment algorithm is missing. Therefore, this study has the potential to improve the healthcare for LAS patients and might be used for a future standardized evidence-based rehabilitation concept.Trial registration“Prospectively registered” ISRCTN – ISRCTN13640422 17/11/2021; DRKS (German Clinical Trials Register) – DRKS00026049.

In-season and dynamic crop mapping using 3D convolution neural networks and sentinel-2 time series

An accurate, frequently updated, automatic and reproducible mapping procedure to identify seasonal cultivated crops is a prerequisite for many crop monitoring activities. Deep learning was demonstrated to be an effective mapping approach already successfully applied to decametric resolution satellite images (like Sentinel-2 data) to produce yearly crop maps. In this framework, algorithm training is performed with ground truth typically consisting of spatially explicit information available after the end of the season (e.g. yearly crop maps and/or farmer declaration for subsidies at parcel level); however, such data (i) does not allow performing in-season prediction, and (ii) does not provide temporal details fundamental to describe a dynamic crop succession and/or to understand crop management (i.e. planting and harvesting). In this paper we present a Deep Neural Network-based approach capable of generating (i) a crop map of the current season at a specific point in time (“In season mapping” conventionally at the end of the current year), along with (ii) all intermediate maps during the season able to describe in near real-time the evolution of crop presence (“Dynamic-mapping” at the temporal granularity of satellite imagery revisiting, e.g., 5 days for Sentinel-2 data). This approach adopts a smart training procedure of a Deep Neural model by exploiting historical satellite data and ground truth. We introduce a method to automatically generate “short-term” ground truth maps (i.e. 5 days reference) starting from the “long-term” ones (i.e. available yearly static reference) and characterizing temporally the different crop presence by performing a phenological analysis of historical time series. The model was trained and validated in Lombardy (North of Italy) exploiting multi-annual authoritative crop maps from 2016 to 2019. Validation was performed both in time (same areas used for training in a different year) and space (different location) for the year 2019. The quantitative error metrics calculation and Spatio-temporal analysis clearly demonstrate that the model can predict in-season crop presence with a generalization capacity over the long-term (yearly maps: OA > 70% and Kappa > 0.64%) and that the short-term predictions (5 days maps) are coherent with the reference information from expert knowledge (local crop calendars). The model can produce dynamically along the season short-term maps with a medium-high crop-specific User Accuracy at the maximum green-up phase (UA > 53% up to 95%). These products are of extreme interest for final users providing information at the peak of plant development that dynamically changes according to the considered crop, the specific location and the investigated season. These results demonstrate that it is possible to produce a crop map early in the season and extract useful additional information such as crop intensity (e.g. double crops presence) and crop dynamics related to different sowing dates.

The Effect of Smart Training on a Number of Physical Variables for Football Players

The aim of the research is to find out: 1- The effect of smart training on a number of physical variables of the football players of the experimental group. 2- The effect of traditional training on a number of physical variables of the football players of the control group. 3- The statistically significant differences in a number of physical variables for football players between the two post tests for the two groups (experimental and control). The researcher hypothesized that: 1- There are statistically significant differences in a number of physical variables for football players between the pre and post tests of the experimental group. 2- There are statistically significant differences in a number of physical variables for football players between the pre and post tests of the control group. 3- There are statistically significant differences in some of the physical variables for football players between the two post tests for the two groups (experimental and control). The researcher used the experimental method for its relevance to the nature of the research. The research community was deliberately determined from the youth players of the Mosul Sports Club in football for the sports season (2020-2021). It consisted of (40) players, (24) players were selected as the research sample. By following the random selection method using lottery, the sample was divided into two groups: experimental and control with (12) players for each group. The following statistical methods were used: (percentage, arithmetic mean, standard deviation, (T) test for linked and independent samples, simple correlation coefficient (Pearson), mode, skew coefficient) and the statistical bag (SPSS) was used to process the data. The researchers concluded that: 1- The training design for smart training implemented by the experimental group made a significant development in some physical variables which are (strength characterized by speed of the legs, explosive power of the legs, maximum transitional speed, motor response speed, speed length of the legs, flexibility, compatibility) with the exception of the adjective of elongation that did not reach the moral level. 2- The training design for the trainer, which was implemented by the control group, made a significant development in the physical variables (the explosive power of the legs, maximum transitional speed, flexibility). 3-The experimental group that used smart training in the post-test outperformed the control group that adopted the trainer’s training in the physical variables (strength characterized by speed of the legs, speed of motor response, speed length of the legs, agility, compatibility). After identifying the scientific conclusions related to the topic of the research, the researchers recommend the following: 1- Paying attention to smart training when developing training designs for youth teams, as the results of the research showed the development of physical attributes. 2- Paying attention to special physical qualities, and comprehensive practical training by football coaches. 3- Applying smart training to other age groups, such as the cubs and juniors' category, to show its impact on the development events of these groups. 4- Applying smart training with other exercises to determine their impact and importance for football players.

A systematic rank of smart training environment applications with motor imagery brain-computer interface

A systematic rank of smart training environment applications with motor imagery brain-computer interface

Impact of Routines and Rituals on Burden of Treatment, Patient Training, Cognitive Load, and Anxiety in Self-Injected Biologic Therapy

BackgroundSelf-injection of biologics is a mainstay of chronic disease treatment, yet the process of self-injection often causes persistent apprehension and anxiety, distinct from needle phobia. While literature alludes to the role that routines and rituals play in self-injection, there is no comprehensive study on the routines and rituals self-injectors employ, nor of the process by which they are discovered and ingrained.MethodsWe conducted a mixed-method, observational pilot ethnography study of 27 patients with plaque psoriasis, psoriatic arthritis, or ankylosing spondylitis with and without prior biologic self-injection experience. Patients submitted self-made videos, photos, and projective exercises of an actual biologic self-injection and completed validated instruments to assess burden of treatment. Videos and photos containing routine and ritual elements were thematically categorized based on functional and emotional benefit, and analyzed for differences based on current biologic, dosing frequency, time on current biologic, and burden of treatment measures.ResultsDuring patients’ initial at-home injections, training gaps became apparent, leading to a process of experimentation aimed at reducing pain/anxiety, increasing confidence, and building a consistent injection process. Routines were present in 27/27 (100%) patients and anchored the time, place, and process for injection, and incorporated approved use steps for the injection device. Ritual elements served as emotional coping strategies for patients and were present in 21/27 (77.8%) of patients.ConclusionOur findings suggest that providing patients device training using adult learning principles, teaching routines and rituals concurrently, and providing at-home opportunities for practice with a device trainer may be useful strategies to reduce anxiety, avoid unnecessary experimentation, and improve adherence to injection therapy. While further studies are needed to generalize our findings, we posit that routine and ritual elements can be incorporated into existing patient-clinician interactions or novel digital interventions through mobile medical applications, smart training devices, and connected injection ecosystems.

Teacher Intelligence Training Based on Big Data and Artificial Intelligence

The purpose of this paper is to improve the theoretical system of teacher's intelligent training, build a teacher's intelligent training platform, build an intelligent training course resource and establish a teacher's intelligent training mechanism. This article mainly uses the methods of investigation and interviews to analyze the status quo of teachers' professional development, existing problems, and research needs. The results of the questionnaire survey showed that 46.7% of participants were in favor of smart training, but there were also 70 people who believed that the biggest difficulty in smart training was the lack of a relatively fixed and effective platform. Therefore, it is necessary to design an intelligent training platform to provide a good platform for teachers to learn.

Web-based exercise therapy for the treatment of depression

Web-based exercise therapy for the treatment of depression

Resource-based induced conflict and socio-economic effects on crop and cattle farmers in Nigeria

Abstract This study investigated the socio‑economic effects of crop and cattle farmers’ natural resource‑based conflicts in Osun State, Nigeria. A total of 228 crop and cattle farmers were sampled in six communities (Ila, Faje, Esa‑Oke, Esa‑Odo, Patara and Adana), using a multistage sampling procedure. The data were analysed using both descriptive and inferential statistics such as Pearson Product Moment Correlation (PPMC), Chi square and independent t‑test (at α 0.05). Majority (73.7%, 100%) of crop and cattle farmers, respectively, were male. Accessibility of natural resources and damage/stealing of crops were identified as major causes of the conflicts. Crime and criminality, and poor training on conflict prevention and resolution were rated as major constraint to conflict resolution. Sustainable land management practices and alternative fodder production for crop and cattle farmers, respectively, were identified as major climate smart training needs to mitigate conflicts. Reduction in quality of social relationships and interruption in education of children for crop farmers; and displacement and reduction in quality of social relationships for cattle farmers were the major social effects suffered. Reduction of agricultural outputs and inability to repay loan were the most common economic effects suffered by the respondents. Causes of conflict, farm/herd size and years of respondents’ experience significantly related with overall socio-economic effects, while constraints to conflict resolution mechanisms (t = −2.672, p = 0.008), methods of conflict resolution (t = −6.649, p = 0.000) and socio-economic effects (t = 3.317, p = 0.008) differed among the respondents. Furthermore, the effect of the conflict was more severe among the crop farmers than among cattle farmers. Based on these new findings it is essential that a coordinated effort between religious institutions, the government, and non-governmental organisations give the ongoing efforts more momentum and include convincing herders to consider other options for producing livestock under ranching system for a more effective and sustainable livelihood practices.

A Review of the Impact of COVID-19 Pandemic on Urology Residence Training

Abstract Introduction and Objective: Since March 11, 2020, when the World Health Organization declared COVID-19 as a pandemic, a significant strain was placed on the worldwide health-care system. Although urology does not stand at the frontline of care for patients with COVID-19, every practicing urologist has been affected by the global outbreak. The impact of the COVID-19 pandemic on urology residency training was evaluated taking into account the residents’ point of view regarding these unprecedented circumstances. Evidence Acquisition: We performed a literature review on the current evidence based on urology residency training during the COVID-19 pandemic. Relevant databases (MEDLINE, Scopus, and Cochrane Library) were searched (until June 2021), and the main inclusion criterion was the presence of residents’ or directors’ opinion on their residency training program during the COVID-19 pandemic. Evidence Synthesis: The search identified 72 articles. A total of 14 studies reporting on more than 2500 residents were eligible for inclusion. The articles were analyzed, and the results are presented in the current review. Conclusions: This unprecedented situation has critically affected urology residency training. A decrease in operation volume, especially those in which residents were directly involved as well as in the majority of academic activities, has been reported by many studies. Furthermore, the COVID-19 pandemic has generated a significant impact on trainees’ mental well-being and lifestyle. On the other hand, the lockdown stressed the opportunity to implement innovative training tools, such as smart training programs and surgical skill development activities monitored by expert urologists.

Self-Powered Smart Arm Training Band Sensor Based on Extremely Stretchable Hydrogel Conductors.

The development of elastic electronic technology has promoted the application of triboelectric nanogenerators (TENGs) in flexible wearable electronics. However, most of the flexible electronics cannot achieve the requirements of being extremely stretchable, transparent, and highly conductive at the same time. Herein, we report a TENG constructed using a double-network polymer ionic conductor sodium alginate/zinc sulfate/poly acrylic-acrylamide (SA-Zn) hydrogel, which exhibited outstanding stretchability (>10,000%), high transparency (>95%), and good conductivity (0.34 S·m-1). The SA-Zn hydrogel TENG (SH-TENG) could harvest energy from typical human movements, such as bending, stretching, and twisting, which could light up 234 green commercial LEDs easily. Additionally, the SH-TENG can be used to prepare a self-powered smart training band sensor for monitoring arm stretching motion. This work may provide an innovative platform for accessing the next generation of sustainable wearable and sports monitoring electronics.