Traditional Training System Research Articles

Particle film treatments on ‘Assyrtiko’ grapevines enhance physiology and grape attributes in Santorini Island

Like many viticultural regions of the Mediterranean region, Santorini is also affected by climate change. These changing climatic conditions pose challenges to adapt the island’s traditional viticulture practices to the new climatic conditions of climate change, which will intensify in the future, with the use of short- and long-term solutions with a sustainable manner respecting the tradition and the island’s landscape. Viticulture in this region copes with high temperatures, heat waves and drought which affect the maturity process, the technological maturity, as well as the physiology of the grapevine. The aim of this study was to investigate the effects of kaolin and calcium carbonate foliar application on water relations, photosynthesis and berry composition of vines of grape cultivar ‘Assyrtiko’, trained with the traditional training system ‘Kouloura’, under drought conditions and vertical shoot positioned training system in Santorini. The effects of foliar application with kaolin and CaCO3 on vines of grape cultivar ‘Assyrtiko’ were evaluated, focusing on the impact on the vine’s physiology attributes, grape quality, and environmental sustainability. Based on the results of the present study, there were statistically significant differences on vine water stress where the foliar application of inert films reduced water stress during the three studied years. Kaolin and CaCO3 increased significantly the photosynthesis and stomatal conductance of the vines in comparison to the control. Furthermore, the foliar application with inert minerals has reduced sunburn and pest damage. The results of the present study confirm that the application of kaolin and CaCO3 constitutes an effective and economical solution for the water saving of the vines in dry conditions, while at the same time, it can improve the physiology of the plant and preserve the qualitative and quantitative attributes of the grapes. The foliar use of inert particle films on Santorini’s traditional vineyards could consist a sustainable and effective alternative to mitigate the effects of climate change which have intensified over the last decades in the region.

Personalized recommendation based on improved speech recognition algorithm in music e-learning course simulation

In recent years, the rapid development of internet technology has promoted the integration of music performance training systems with new teaching environments. However, personalized recommendations related to users are still a drawback of traditional performance training. Therefore, this article optimizes the system based on the shortcomings of traditional performance training systems and adds algorithms related to speech recognition and personalized recommendations to the music performance training system. Traditional music performance systems still have a lot of problems, resulting in a narrow application prospect. Therefore, this article first improves the speech recognition algorithm, and then uses the advantages of personalized recommendation algorithms in filtering applications to reconstruct the music performance training system. This article has conducted a large number of testing experiments on the system, and the experimental results strongly prove that the optimized speech recognition algorithm is superior to the algorithms used in traditional performance training systems. The model of this research not only incorporates personalized recommendations into the system, but also undergoes multiple optimizations in the experiment, ultimately obtaining a satisfactory product. The system can provide a suitable training platform for music performance, Effectively changing the playing environment and making music performance training more scientific and digital.

The impact of gamification on training, work engagement, and job satisfaction in banking

AbstractThis study contributes to the comparative analysis of outcomes between gamified and traditional training systems in the banking sector. On‐the‐job training is a vital aspect of the process of enhancing work performance within organizations. Thus, by employing a case‐based asymmetric configural approach rooted in nonlinear and contrarian case analysis, this research investigates the impact of gamified training on human resource development. A global empirical survey of 388 banking employees revealed that a combination of complexity theory and configural analysis provides valuable insights into the outcomes of both gamified and conventional training methods. In the face of increasing competition, banks are compelled to enhance their professionalism by boosting employee motivation. It becomes apparent that there is no straightforward, necessary and sufficient path available to guarantee high levels of engagement and job satisfaction. Notably, some of these results challenge the expectations of self‐determination theory (SDT), which posits the satisfaction of three basic psychological needs during training. These findings contribute to an enriched understanding of the nuanced application of complexity theory in the context of SDT research, particularly regarding the training and development of gamified systems for banking organizations and other service‐oriented sectors that can benefit from such innovative training approaches.

An intelligent grasper to provide real-time force feedback to shorten the learning curve in laparoscopic training

BackgroundA lack of force feedback in laparoscopic surgery often leads to a steep learning curve to the novices and traditional training system equipped with force feedback need a high educational cost. This study aimed to use a laparoscopic grasper providing force feedback in laparoscopic training which can assist in controlling of gripping forces and improve the learning processing of the novices.MethodsFirstly, we conducted a pre-experiment to verify the role of force feedback in gripping operations and establish the safe gripping force threshold for the tasks. Following this, we proceeded with a four-week training program. Unlike the novices without feedback (Group A2), the novices receiving feedback (Group B2) underwent training that included force feedback. Finally, we completed a follow-up period without providing force feedback to assess the training effect under different conditions. Real-time force parameters were recorded and compared.ResultsIn the pre-experiment, we set the gripping force threshold for the tasks based on the experienced surgeons’ performance. This is reasonable as the experienced surgeons have obtained adequate skill of handling grasper. The thresholds for task 1, 2, and 3 were set as 0.731 N, 1.203 N and 0.938 N, respectively. With force feedback, the gripping force applied by the novices with feedback (Group B1) was lower than that of the novices without feedback (Group A1) (p < 0.005). During the training period, the Group B2 takes 6 trails to achieve gripping force of 0.635 N, which is lower than the threshold line, whereas the Group A2 needs 11 trails, meaning that the learning curve of Group B2 was significantly shorter than that of Group A2. Additionally, during the follow-up period, there was no significant decline in force learning, and Group B2 demonstrated better control of gripping operations. The training with force feedback received positive evaluations.ConclusionOur study shows that using a grasper providing force feedback in laparoscopic training can help to control the gripping force and shorten the learning curve. It is anticipated that the laparoscopic grasper equipped with FBG sensor is promising to provide force feedback during laparoscopic training, which ultimately shows great potential in laparoscopic surgery.

Improving the training of employees of logging enterprises in the field of labor protection

The improvement of the traditional training system is currently relevant due to the complexity of technology and production processes, especially logging. Improving the effectiveness of training is possible due to the widespread use of digitalization of training. The purpose of the work is to determine the directions of application of new digital technologies to improve the effectiveness of training in the field of labor protection at logging enterprises. The use of electronic courses and multimedia technologies along with traditional training makes the learning process more informative, the use of electronic simulators and simulators allows you to work out practical working skills. The most modern teaching methods include the use of augmented and virtual reality technologies, artificial intelligence, which can significantly increase interest in learning and its effectiveness.

Analysis of the Features of the Construction of a Traditional Training System for Young Athletes Specializing in Hand-to-Hand Combat at the Stage of Preliminary Basic Training

Topicality. In hand-to-hand combat it is especially important to solve the problem of optimizing the structure and content of training at the stage of basic training which mostly determines the effectiveness of all subsequent stages of multi-year sports activity. The objective is to study and systematize scientific studies aimed at determining the features of building a traditional training system for young athletes who specialize in hand-to-hand combat at the stage of basic training. Methods: theoretical analysis and generalization of literary sources, observations, conversations, interviews and questionnaires of trainers, generalization of the best experience of specialists. Results of the research. The problem circle of the development of the theory and methodology of youth sports and the system of training of sports reserves has been in the center of attention of specialists for many years. The modern idea of coaches about building a traditional training system for young athletes who specialize in hand-to-hand combat, ignoring in practice a number of theoretical provisions, striving to fulfill targets for winning prizes in various competitions in the future leads to premature exhaustion of the functional resources of the body of young athletes and makes further growth of their sportsmanship impossible. Conslusions. It has been established that many young athletes at the stage of preliminary basic training perform a significant amount of work, participate in a large number of competitions, train twice a day and therefore achieve high sports results for their age. Usually, such athletes are unpromising, and therefore the construction of an optimal training system for young athletes is possible only on the basis of a comprehensive approach, which should take into account the morphological, functional and mental characteristics of young athletes, their adaptation capabilities, reaction to high training and competitive loads, training features of the past years.

A comparative study on training systems and vine density in Santorini Island: Physiological, microclimate, yield and quality attributes

The Mediterranean basin is regarded as one of the most affected global regions by climate change. Traditionally, viticulture in this region copes with high temperatures, heat waves and drought. Such extreme conditions are expected to intensify due to climate change in the future. Our study focuses on the viticulture of Santorini Island, located in South Aegean (Greece). Local varieties trained with the traditional ‘Kouloura’ training system have been cultivated for thousands of years on the island, producing recognised high-quality PDO wines worldwide. The literature on these traditional training systems is scarce, and their investigation could aid in the adaptation of viticulture to hotter and drier future climatic conditions. The objective of this study was to compare the physiological and agronomic response of Assyrtiko grapevines to the traditional training systems ‘Kouloura’ and VSP training system over two growing seasons and to establish the factors influencing the performance of each system in the semi-arid conditions of Santorini Island. In brief, the ‘Kouloura’ training system maintained a less-stressed water status compared to VSP, while for both studied years during ‘Kouloura’ exhibited significantly higher photosynthetic rates and stomatal conductance. Regarding microclimate observations, we found that, especially during heatwaves, VSP’s grapes were more exposed to higher temperatures during midday than ‘Kouloura’ and that the ‘Kouloura’ system protected against damage from heatwaves and strong winds when compared to VSP. Investigating the mechanisms by which these traditional training systems are adapted to hot, dry climatic conditions creates applicable knowledge for developing and using alternative training systems in similar environments to adapt to climate change.

Training Scene Construction and Motion Realization of Unmanned Craft based on Unreal Engine

Aiming at the problems of the traditional training system, such as the unrealistic simulation of 3D animation effects and the inability to meet the demand of real-time manipulation response of simulation training based on the original mechanical calculation, this paper puts forward a method of unmanned craft training scene construction and motion realization based on Unreal Engine. The method makes full use of Unreal Engine's powerful graphic rendering ability and physics engine function, and combines 3D MAX to realize the rapid construction of unmanned craft training scene, environment simulation, and unmanned craft motion simulation and control. The developed unmanned craft training software has the characteristics of smooth and clear picture, realistic and delicate scene, strong training immersion, and real manipulation experience, which can effectively improve the training efficiency and training safety, reduce the training cost, and have significant economic benefits.

Construction and practice of training system for dance professionals based on OBE teaching model combined with Kinect motion capture technology

Abstract With the increasing prosperity of the cultural market, the dance culture industry is also developing rapidly. In the face of opportunities and challenges brought by dance industrialization, dance professionals trained by the traditional and single-skill training system of art colleges and universities expose the contradiction between supply and demand. In this paper, the SAA-training model is taken as the calculation tool, and the OBE and Kinect motion capture technology are combined to explore the construction and practice of the training system for dance professionals. The research shows that the training system of dance professionals can finally obtain three types of dance professionals. The first type is compound dance talents, accounting for about 33%. The second category consists of dancers with rich market experience, accounting for up to 46 percent. The third category is dance talent with innovative consciousness, limited by the existing training mode, its proportion is only 21 percent.

RSETP: A Reliable Security Education and Training Platform Based on the Alliance Blockchain

Improving the training quality of education and training institutions is one of the important reasons for the sustainable development of training institutions. However, traditional education and training institutions lack supervision, and the process system is not standardized, resulting in a lack of authenticity and reliability of information in the training process. Because most of the traditional education and training systems are centralized, it is difficult to share training data between institutions and relevant departments. Therefore, in view of the problems of data tampering and resource sharing in the field of education and training, combined with the node complexity of education and training scenarios, we propose an education and training blockchain platform suitable for multi-node scenarios to ensure the authenticity of the training data and traceability. In this consortium chain, we design specific ledger structures and corresponding smart contracts to meet different business logic requirements. According to different business data types, we optimize the ledger storage method. To improve chaincode utilization and system transaction throughput, we explore different system configuration rules and provide useful insights. Finally, several experiments are performed to evaluate the security and efficiency of the proposed system.

An English listening and speaking ability training system based on binary decision tree

In order to solve the problems of low speech resolution accuracy and poor auxiliary training effect of traditional auxiliary training system, a design method of English listening and speaking ability auxiliary training system based on binary decision tree is proposed. The hardware design includes English listening and speaking data extraction module, storage module and training module. In terms of software, the binary decision tree algorithm is used to construct the binary decision tree training model of English listening and speaking training. Through the algorithm, the data information of English learners in the process of listening and speaking ability training is extracted and the training data is evaluated. The experimental results show that: this system has high accuracy in the discrimination and evaluation of English speech data, and low occupancy rate of system storage space, which is conducive to improving students' English listening and speaking ability and English learning achievement.

Effect of foliar applications on the qualitative and quantitative characters of cv. Assyrtiko and cv. Mavrotragano in the island of Santorini, under vineyard conditions

The Mediterranean basin is regarded as one of the world’s most affected regions by climate changes. Traditionally, viticulture in this region has been coping with high temperatures, heat waves and drought. Such particularly extreme conditions, which induce severe abiotic stress on plants, are expected to intensify due to the predicted climate changes in the future. Santorini Island seems not to be an exception. The increase of temperature and solar radiation, in combination with the low availability of water, made necessary the development and the application of methods in order to cope with the abiotic stresses of the grapevine. This study examined the foliar applications and their effect on the qualitative and quantitative characteristics of the grapes by spraying application of the two indigenous varieties of the vineyard of Santorini (Greece), Assyrtiko, and Mavrotragano. The experiment took place in the cultivation season 2019-2020. Specifically, treatments with kaolin and calcium carbonate, two inert materials capable of reflecting radiation were evaluated. In the case of Assyrtiko, the effect of kaolin and calcium carbonate was examined on two different training systems, on the traditional training system of Santorini ‘kouloura’, and on a single Guyot training system. In the case of Mavrotragano, the effect of kaolin and calcium carbonate was examined on the vines which are trained in double Guyot training system. Mechanical analyses of the grapes and berries were performed, as well as measurements of the characters of the must during the stage of technological maturity. The content of the phenolic compounds was determined in the skins and seeds and the antioxidant capacity of the samples was measured by using different methods, FRAP and DPPH, by the use of spectrophotometry. At the same time, the analysis of High-Pressure Liquid Chromatography (HPLC) indicated the concentrations of the main individual sugars and acids in the must as well as the measurements of the skin individual anthocyanins for cv Mavrotragano. The results of the treatments showed that the analyses related to weight, length, and width of the grapes and berries and the measurements of pH and total titratable acidity for both training systems and both varieties did not seem to be affected. Also, compared to grapes from control treatments, the levels of most phenolic compounds and anthocyanins of the sprayed samples mostly increased, and as a result, this leads to grapes of better quality, thus better wine quality, since most measurements conducted in the current experiment are also directly correlated with the organoleptic properties of the wine. Therefore, the use of kaolin and calcium carbonate through foliar applications constitutes an important means of adaptation of the vines which are grown under conditions of drought, in terms of economic and environmental sustainability reasons, while improving the quality of grapes.

Dancing me from South to South: on Wu-Kang Chen and Pichet Klunchun’s intercultural performance

ABSTRACT “Intercultural performance” elicits complicated power dimensions in an exchange between center and periphery. To address these power dimensions, this paper focuses on dance pieces Behalf (2018) and the Rama's House opening performance (2019), co-choreographed and performed by Taiwanese artist Wu-Kang Chen and Thai artist Pichet Klunchun. By using a comparative approach to uncover the other’s traditional dance training system, they cooperate to rewrite the conflicting history of performance in Southeast Asia—crossing several intricate borders. Their collaboration(s) can be viewed as a resistant imaginary in line with the “South-South” coalition scheme. That is, artists who share similar marginalized experiences under the hegemony of intercultural performance collaborate to create works based on equality and reciprocity, with respect for and curiosity regarding each other. This research explores how experiments in contemporary dance can liberate the body from the discipline of traditional cultural codes as well as colonial imperatives, and help reconstruct a new, tangible corporeality through South-South intercultural exchange.

Application of Network Information Technology in Physical Education and Training System under the Background of Big Data.

During the last two decades, rapid development in the network technology has been observed, particularly hardware, and the development of software technology has accelerated, resulting in the launch of a variety of novel products with a wide range of applications. Traditional sports training systems, on the other hand, have a single function and a complex operation that cannot be fully implemented in colleges and universities, causing China's sports training to stagnate for a long time. The goal of physical education and training is to teach a specific action to attain its maximum potential in a variety of ways. As a result, we should use the system to collect scientifically sound and trustworthy data to aid relevant staff in completing their training tasks. Therefore, in the context of big data, network information technology has become the main way to improve the physical education system. By applying cloud computing technology, machine vision technology, and 64-bit machine technology to the physical education training system, extract the video data of the physical education system, design the system video teaching process, and complete the construction of three-dimensional human model, so as to analyze the training situation of the trainers. In this paper, 30 basketball majors in a university are selected as the professional group and 30 computer majors as the control group. The average reaction time, scores, and expert scores of the two groups are analyzed. The results show that the test of the professional group is significantly higher than that of the amateur group. At the same time, the feedback results of students using physical education and training system and normal physical education teaching and training are compared and analyzed. One week later, the students trained by the physical education system have improved their thinking ability, movement accuracy, and judgment ability, indicating that the application of the physical education training system to the actual effect is ideal.

Computational Technologies for the Wearable Sports Training System Based on Sensor Acquisition

Aiming at the problems of long time-consuming and low precision in traditional training system, a wearable sports training system based on data mining is proposed and designed. According to the overall structure of the system, the hardware and software of the system are designed respectively. The hardware part is mainly composed of attitude measurement unit, power supply unit, main control unit, clock circuit, and reset circuit. The software part introduces the data mining method of mining sports training information data. The experimental results show that the system designed in this study effectively shortens the time-consuming time, improves the accuracy, and has certain advantages.

An Improved Method for Online Teacher Training Courses for Bilingual Education Based on Cyber-Physical Systems

In recent years, bilingual education has become a critical index, and with its growth, internationalization has been significantly improved in the Republic of China (Taiwan). Therefore, countries worldwide are promoting all-English teaching, taking English as a medium of instruction and indicator of university education while moving toward an internationalized curriculum and teaching excellence. Finding the required number of bilingual teachers is also one of the keys to increasing the index. If information technology can be adopted to reduce the time and cost of bilingual teacher training, it will significantly improve the effectiveness of bilingual education promotion. However, the current traditional online training system only focuses on the delivery of one-way training content, and it cannot assist in judging the training effectiveness of the trainees. In this paper, we integrate the pose estimation technology into the online teacher training system to analyze the interactive content of the trainees during the training. We can assist in recording and interpreting the teaching demonstration process in classroom observation. We also verify the result by comparing our method’s efficiency and judgment accuracy with the traditional way. The results show that our approach is more convenient and cost-efficient.

History of Grape in Anatolia and Historical Sustainable Grape Production in Erzincan Agroecological Conditions in Turkey

The Anatolian peninsula has long been linked with the origins of viticulture and winemaking. Erzincan province in Anatolia hosted many civilizations in the past, and each civilization used grapes for different purposes. From past to present, viticulture carried out with the famous ‘Karaerik’ grape (Vitis vinifera L.) on old traditional Baran training system to avoid cold damage occurred in winter months. During the old civilizations, the cultivar was used only for wine production, but after the first period of the 1900s, this situation changed, and the cultivar was used for table consumption because wine is banned by Islam. The archaeological findings in Erzincan province revealed the cultivar has existed in the province for centuries, and in each historical period, the cultivar was used sustainably, added value to the region, and brought cultural heritage from generation to generation. Grape production in Erzincan province has been a symbol of abundance, fertility and productivity since mythological times. The historical facts indicated that viticulture and winemaking had been a dispensable part of the Erzincan economy and rural development. The vineyards apply the same sustainable management practices from which they receive their grapes. The traditional Baran training system is used for all vineyards. The viticulture in the province has been strongly committed to improving environmental and social sustainability throughout history.

Directions for Improving Legal Support of Vocational Training of Forensic Experts in Ukraine

Current Regulations on Central Expert Qualification Commission under the Ministry of Justice of Ukraine and certification of forensic experts establishing the procedure for conducting professional training of forensic experts have been analysed. Necessity of elaboration and adoption of a separate legal regulation that should regulate all components of professional training procedure of forensic experts has been proved. Directions of development of professional training system of forensic experts have been indicated: traditional system of training that consists of two parts: professional training in higher education and postgraduate education majoring in Forensic Science. A new type of structure of postgraduate education of forensic experts has been proposed that should consist of initial professional training, advanced training, retraining and specialised training. In order to adapt to new working conditions and accelerate professional training of experts, the need to introduce the institute of mentoring has been emphasised. Given the specifics of forensic science activities associated with psychological stress while forensic research, emphasis has been placed on psychological training introduction. The ways of reforming structure of subjects of administrative and legal support of professional training of forensic experts have been indicated.

Training birdsong recognition using virtual reality

BackgroundIn mega-biodiverse environments, where different species are more likely to be heard than seen, species monitoring is generally performed using bioacoustics methodologies. Furthermore, since bird vocalizations are reasonable estimators of biodiversity, their monitoring is of great importance in the formulation of conservation policies. However, birdsong recognition is an arduous task that requires dedicated training in order to achieve mastery, which is costly in terms of time and money due to the lack of accessibility of relevant information in field trips or even specialized databases. Immersive technology based on virtual reality (VR) and spatial audio may improve species monitoring by enhancing information accessibility, interaction, and user engagement. MethodsThis study used spatial audio, a Bluetooth controller, and a head-mounted display (HMD) to conduct an immersive training experience in VR. Participants moved inside a virtual world using a Bluetooth controller, while their task was to recognize targeted birdsongs. We measured the accuracy of recognition and user engagement according to the User Engagement Scale. ResultsThe experimental results revealed significantly higher engagement and accuracy for participants in the VR-based training system than in a traditional computer-based training system. All four dimensions of the user engagement scale received high ratings from the participants, suggesting that VR-based training provides a motivating and attractive environment for learning demanding tasks through appropriate design, exploiting the sensory system, and virtual reality interactivity. ConclusionsThe accuracy and engagement of the VR-based training system were significantly high when tested against traditional training. Future research will focus on developing a variety of realistic ecosystems and their associated birds to increase the information on newer bird species within the training system. Finally, the proposed VR-based training system must be tested with additional participants and for a longer duration to measure information recall and recognition mastery among users.

The unique and extreme vineyards of Santorini Island (Cyclades)

Own-rooted and phylloxera-free vines have been cultivated on the volcanic soil of Santorini for thousands of years. All this time, vines have been cultivated by using two traditional training systems, the ‘Κouloura’, and the ‘Κladeftiko’, which are well-adapted to the specific climatic conditions of the island. This first report aims to share the scarce existing knowledge on Santorini’s training and pruning systems, looking at some important quantitative and qualitative ripening parameters over four consecutive seasons (2017-2020) and revealing similarities regarding their adaptation to climate conditions on the island.