Contribution of the MERISE-Type Conceptual Data Model to the Construction of Monitoring and Evaluation Indicators of the Effectiveness of Training in Relation to the Needs of the Labor Market in the Republic of Congo

This study proposes the use of the MERISE conceptual data model to create indicators for monitoring and evaluating the effectiveness of vocational training in the Republic of Congo. The importance of MERISE for structuring and analyzing data is underlined, as it enables the measurement of the adequacy between training and the needs of the labor market. The innovation of the study lies in the adaptation of the MERISE model to the local context, the development of innovative indicators, and the integration of a participatory approach including all relevant stakeholders. Contextual adaptation and local innovation: The study suggests adapting MERISE to the specific context of the Republic of Congo, considering the local particularities of the labor market. Development of innovative indicators and new measurement tools: It proposes creating indicators to assess skills matching and employer satisfaction, which are crucial for evaluating the effectiveness of vocational training. Participatory approach and inclusion of stakeholders: The study emphasizes actively involving training centers, employers, and recruitment agencies in the evaluation process. This participatory approach ensures that the perspectives of all stakeholders are considered, leading to more relevant and practical outcomes. Using the MERISE model allows for: • Rigorous data structuring, organization, and standardization: Clearly defining entities and relationships facilitates data organization and standardization, crucial for effective data analysis. • Facilitation of monitoring, analysis, and relevant indicators: Developing both quantitative and qualitative indicators helps measure the effectiveness of training in relation to the labor market, allowing for a comprehensive evaluation. • Improved communication and common language: By providing a common language for different stakeholders, MERISE enhances communication and collaboration, ensuring that all parties have a shared understanding. The study’s approach and contribution to existing research lie in: • Structured theoretical and practical framework and holistic approach: The study offers a structured framework for data collection and analysis, covering both quantitative and qualitative aspects, thus providing a comprehensive view of the training system. • Reproducible methodology and international comparison: The proposed methodology can be replicated in other contexts, facilitating international comparison and the adoption of best practices. • Extension of knowledge and new perspective: By integrating a participatory approach and developing indicators adapted to local needs, the study extends existing research and offers new perspectives on vocational training evaluation.

Temporally Preserving Latent Variable Models:Offline and Online Training for Reconstruction and Interpretation of Fault Data for Gearbox Condition Monitoring

Latent variable models can effectively determine the condition of essential rotating machinery without needing labeled data.These models analyze vibration data via an unsupervised learning strategy.Temporal preservation is necessary to obtain an informative latent manifold for the fault diagnosis task.In a temporalpreserving context,two approaches exist to develop a condition-monitoring methodology:offline and online.For latent variable models,the available training modes are not different.While many traditional methods use offline training,online training can dynamically adjust the latent manifold,possibly leading to better fault signature extraction from the vibration data.This study explores online training using temporal-preserving latent variable models.Within online training,there are two main methods:one focuses on reconstructing data and the other on interpreting the data components.Both are considered to evaluate how they diagnose faults over time.Using two experimental datasets,the study confirms that models from both training modes can detect changes in machinery health and identify faults even under varying conditions.Importantly,the complementarity of offline and online models is emphasized,reassuring their versatility in fault diagnostics.Understanding the implications of the training approach and the available model formulations is crucial for further research in latent variable modelbased fault diagnostics.

Construction Technology and Safety Monitoring Measures of Road and Bridge Engineering

With the acceleration of urbanization and the continuous improvement of urban infrastructure construction,roads and bridges,as an important infrastructure content in China,directly affect people's daily travel.Therefore,the construction and management of roads and bridges must be improved to ensure the quality and safety of roads and bridges and effectively prevent safety accidents.Strengthen the management of road and bridge construction through safety monitoring,improve the safety factor of the project and ensure people's travel safety.This paper mainly analyzes the common diseases and construction technology of road and bridge engineering construction,and puts forward safety monitoring measures.

Precision measurement training from American (B)

This section on Concerns of Metrology contains five (5) topics, and a Quiz, listed at right. CLICK on an item to go to it. Or, CLICK MAIN MENU at left to go to the main menu. We use metrology to make sure that measurements are correct and give appropriate values, under all circumstances, no matter who makes them, or how they're made.

Massage and vocal training in a case of spasmodic dysphonia

A 35-year-old female patient with spasmodic dysphonia underwent massage and vocal training. Chinese manipulation was administered to Tiantu （CV 22） and Lianquan （CV 23）, the convergent acupoints of the conception meridian and Yin link vessel, Yamen （GV 15） and Fengfu （GV 16）, the convergent acupoints of Du meridian and Yang link vessel, as well as large intestine channel of hand Yangming Hegu （LI 4）, by gently pressing and rubbing for stimulation. In addition, throat muscle massage therapy and vocal training were performed. Results were evaluated using acoustic measurements in combination with a single statistical method. A comprehensive treatment combining vocal training and face-neck massage was shown to relieve dystonia of facial-cervical muscles in patients, as well as improve voice quality while providing a safe treatment method.

Development of underwater wet welding experimental and divers training system

Compared to traditional welding methods, the underwater wet welding is special with many different characteristics due to the unique aqueous environment. It is conducted completely under water by divers and unique welding technology is required in the special operation environment. The operating levels of the divers are the key factor to acquire high quality welded joints. In this paper, an underwater wet welding experimental and divers training system is developed to serve divers training and conducting welding experiments. The system consists of life support system, signals real-time monitoring system and communicating system, etc. An underwater butt welding experiment based on welding electrodes is conducted, and the system works well. It proves that the system can guarantee divers welding safely and successfully and high quality weld seam is expected to be acquired.

Principles and practices of training for soccer

The complexity of the physical demands of soccer requires the completion of a multi-component training programme. The development, planning, and implementation of such a programme are difficult due partly to the practical constraints related to the competitive schedule at the top level. The effective planning and organisation of training are therefore crucial to the effective delivery of the training stimulus for both individual players and the team. The aim of this article is to provide an overview of the principles of training that can be used to prepare players for the physical demands of soccer. Information relating to periodisation is supported by an outline of the strategies used to deliver the acute training stress in a soccer environment. The importance of monitoring to support the planning process is also reviewed.

Study on Training Scheme for New Farmers

Farmers play an important role in agricultural modernization,and farmers'quality directly influence the agricultural modernization drive. We analyzed basic situations and existing problems of farmers,including lack of consciousness as a master,cultural awareness,market awareness,skill awareness,and democracy and legal awareness.To build new farmers,we put forward multi-channel and comprehensive training schemes,including enhancing leadership,making clear objective,and giving top priority to subjects;increasing fund input and perfecting new farmer training system;focusing on economic development and combining with new socialist countryside construction;training by classification to improve overall qualities of different level farmers;combining many cultivation ways to improve the overall training effect.

Building the Capacity of Health Professionals in Monitoring and Evaluation in a Public Health Institution: Experience of the National Institute of Public Health (NIPH) of Côte d’Ivoire

Background: In the context of the fight against HIV, a lack of skills in monitoring and evaluating the personnel in charge of activities has been identified at the national level. It was the subject of a priority axis of the national plan for monitoring and evaluating the fight against HIV (2006-2010) that was aimed at strengthening the capacities of actors in this area. To increase the critical mass of competent human resources in the short term, the National Institute of Public Health (NIPH) of Côte d’Ivoire organized monitoring and evaluation training sessions for healthcare professionals from 2011 to 2016. Methods: A single case study with multiple levels of analysis was carried out, combining a qualitative survey and a literature review. An evaluation was carried out six months after each training session. In addition, the results of the pre- and post-tests and of the daily and final evaluations that accompanied the various training sessions were used to provide further information. The qualitative data collected were analyzed using INVIVO 15 software. Results: Some 89 health professionals (69% men and 31% women) working at the national level (51% at the central level, including 58% in health programs) and in development partner agencies (37%) participated in this capacity building program. Most participants were senior health managers (56%), data managers (23%), and statisticians and computer scientists (10%). Almost all the trainings were financed by 16 technical and financial partners (85%), mainly the MEASURE Evaluation project (27%). Conclusion: M&E training, despite all its imperfections, has made it possible to identify M&E training needs at the national level and to increase the critical mass of national skills and to have some culture in M&E.

Structural Health Monitoring by Accelerometric Data of a Continuously Monitored Structure with Induced Damages

The possibility of determining the integrity of a real structure subjected to non-invasive and non-destructive monitoring,such as that carried out by a series of accelerometers placed on the structure,is certainly a goal of extreme and current interest.In the present work,the results obtained from the processing of experimental data of a real structure are shown.The analyzed structure is a lattice structure approximately 9 m high,monitored with 18 uniaxial accelerometers positioned in pairs on 9 different levels.The data used refer to continuous monitoring that lasted for a total of 1 year,during which minor damage was caused to the structure by alternatively removing some bracings and repositioning them in the structure.Two methodologies detecting damage based on decomposition techniques of the acquired data were used and tested,as well as a methodology combining the two techniques.The results obtained are extremely interesting,as all the minor damage caused to the structure was identified by the processing methods used,based solely on the monitored data and without any knowledge of the real structure being analyzed.The results use 15 acquisitions in environmental conditions lasting 10 min each,a reasonable amount of time to get immediate feedback on possible damage to the structure.

MONITORING OF METACOGNITIVE STRATEGY TRAINING

The goal of education is to cultivate learner autonomy. Studies in metacognition suggest that the ideal way to accomplish this is through metacognitive strategy training. Research also indicates that effective training programs depend on monitoring. To cultivate self-regulation or learner autonomy, it is necessary to exert external monitoring at the beginning, and gradually reduce external supervision as the students become more autonomous. The present study argues for cooperative group learning and regular evaluation as the main monitoring strategies. A semester long study indicates that cooperative group learning, besides being valuable in cultivating social relationship, and fostering cooperation and learner autonomy, can also serve as a good monitoring strategy in metacognitive strategy training. Regular evaluation, when it is progress- oriented and learner-centered, and conducted at proper times, will also provide valuable information for students to check, evaluate and adjust their learning. Self-questioning sheets and learner portfolios are also useful techniques in monitoring students' learning.

Online Capacitor Voltage Transformer Measurement Error State Evaluation Method Based on In-Phase Relationship and Abnormal Point Detection

The assessment of the measurement error status of online Capacitor Voltage Transformers (CVT) within the power grid is of profound significance to the equitable trade of electric energy and the secure operation of the power grid. This paper advances an online CVT error state evaluation method, anchored in the in-phase relationship and outlier detection. Initially, this method leverages the in-phase relationship to obviate the influence of primary side fluctuations in the grid on assessment accuracy. Subsequently, Principal Component Analysis (PCA) is employed to meticulously disentangle the error change information inherent in the CVT from the measured values and to compute statistics that delineate the error state. Finally, the Local Outlier Factor (LOF) is deployed to discern outliers in the statistics, with thresholds serving to appraise the CVT error state. Experimental results incontrovertibly demonstrate the efficacy of this method, showcasing its prowess in effecting online tracking of CVT error changes and conducting error state assessments. The discernible enhancements in reliability, accuracy, and sensitivity are manifest, with the assessment accuracy reaching an exemplary 0.01%.

Automatic Monitoring System for 3-D Deformation of Crustal Fault Based on Laser and Machine Vision

An automatic monitoring method of the 3-D deformation is presented for crustal fault based on laser and machine vision. The laser source and screen are independently set up in the headwall and footwall, the collimated laser beam creates a circular spot on the screen, meanwhile, the industrial camera captures the tiny deformation of the crustal fault by monitoring the change of the spot position. This method significantly reduces the cost of equipment and labor, provides daily sampling to ensure high continuity of data. A prototype of the automatic monitoring system is developed, and a repeatability test indicates that the error of spot jitter can be minimized by consecutive samples. Meanwhile, the environmental correction model is determined to ensure that environmental changes do not disturb the system. Furthermore, the automatic monitoring system has been applied at the deformation monitoring station(KJX02) of China Beishan underground research laboratory, where continuous deformation monitoring is underway.

融合光谱度量标记迁移和Tri-training的高光谱遥感图像半监督分类算法

针对海量的高光谱遥感图像光谱和丰富的空间信息中可用于分类的有标记样本远少于无标记样本的数据特性,提出了一种融合光谱度量标记迁移和Tri-training的高光谱遥感图像半监督光谱-空间分类算法。该算法提出了一种基于光谱度量的标记迁移方法,通过结合迁移标记和Tri-training预测标记进行扩充样本标记预测,提高了扩充样本标记的准确性。同时,该算法基于空间相关性选择扩充样本,综合运用光谱和空间特征提升图像分类的精度。在两个公开的高光谱遥感图像数据集上进行了实验,结果表明该算法优于基于Tri-training算法的高光谱遥感图像的分类性能。

Construction and Practice of Teaching Staff and Teaching Quality Monitoring System in University Affiliated Hospitals Under the Background of Education Informatization

Objective:To build a set of teaching staff construction and teaching quality monitoring system suitable for clinical practice teaching in affiliated hospitals of medical colleges,achieve continuous improvement of clinical education and teaching level,and ensure the quality of medical education talent cultivation.Methods:A modern clinical practice teaching quality monitoring system is constructed based on organizational structure construction,teaching staff system construction,quality control system construction,and information platform construction,combined with external audit and evaluation.Results:The hospital has established a Faculty Development and Teaching Evaluation Office specifically responsible for the cultivation of clinical teachers and the evaluation and supervision of teaching quality.A relatively complete teacher construction and teaching quality monitoring system has also been established for clinical practice teaching,thus achieving integration with the school’s quality control system in terms of management mechanism.At the same time,a set of teaching quality control mode based on the“Internet+”platform has been created by means of informatization.At present,this mode has won three national computer software copyrights and two second prizes for school-level teaching achievements.Conclusion:Through five years of practice,an“Internet+”teaching quality evaluation and monitoring system with the characteristics of teaching hospitals affiliated to local medical colleges has been established.In order to further standardize the training system of clinical teachers in affiliated hospitals,achieve self-monitoring and self-improvement in terms of teaching quality,and ensure the continuous improvement of clinical teaching quality,we will continue to promote the development of clinical teachers with quality and excellence,enrich the main team of quality monitoring,guide the transformation of the education mode from being“centered on teachers”to being“centered on students,”and realize the integration of internal and external quality monitoring systems.

Modeling and monitoring of nonlinear multi-mode processes based on similarity measure-KPCA

A new modeling and monitoring approach for multi-mode processes is proposed.The method of similarity measure(SM) and kernel principal component analysis(KPCA) are integrated to construct SM-KPCA monitoring scheme,where SM method serves as the separation of common subspace and specific subspace.Compared with the traditional methods,the main contributions of this work are:1) SM consisted of two measures of distance and angle to accommodate process characters.The different monitoring effect involves putting on the different weight,which would simplify the monitoring model structure and enhance its reliability and robustness.2) The proposed method can be used to find faults by the common space and judge which mode the fault belongs to by the specific subspace.Results of algorithm analysis and fault detection experiments indicate the validity and practicability of the presented method.

Local measurement for structural health monitoring

Localized nature of damage in structures requires local measurements for structural health monitoring. The local measurement means to measure the local, usually higher modes of the vibration in a structure. Three fundamental issues about the local measurement for structural health monitoring including (1) the necessity of making local measurement, (2) the difficulty of making local measurement and (3) how to make local measurement are addressed in this paper. The results from both the analysis and the tests show that the local measurement can successfully monitor the structural health status as long as the local modes are excited. Unfortunately, the results also illustrate that it is difficult to excite local modes in a structure. Therefore, in order to carry structural health monitoring into effect, we must (1) ensure that the local modes are excited, and (2) deploy enough sensors in a structure so that the local modes can be monitored.

Instantaneous frequency measurement using two parallel I/Q modulators based on optical power monitoring

A scheme for instantaneous frequency measurement(IFM)using two parallel I/Q modulators based on optical power monitoring is proposed.The amplitude comparison function(ACF)can be constructed to establish the relationship between the frequency of radio frequency(RF)signal and the power ratio of two optical signals output by two I/Q modulators.The frequency of RF signal can be derived by measuring the optical power of the optical signals output by two I/Q modulators.The measurement range and measurement error can be adjusted by controlling the delay amount of the electrical delay line.The feasibility of the scheme is verified,and the corresponding measurement range and measurement error of the system under different delay amounts of the electrical delay line are given.Compared with previous IFM schemes,the structure of this scheme is simple.Polarization devices,a photodetector and an electrical power meter are not used,which reduces the impact of the environmental disturbance on the system and the cost of the system.In simulation,the measurement range can reach 0 GHz-24.5 GHz by adjusting the delay amount of the electrical delay lineτ=20 ps.The measurement error of the scheme is better at low frequency,and the measurement error of low frequency 0 GHz-9.6 GHz can reach-0.1 GHz to+0.05 GHz.

Dynamic Monitoring and Control Measures of Spodoptera frugiperda(J.E.Smmith) in Low Latitude Plateau Sugarcane Areas

Spodoptera frugiperda (J.E.Smmith) is one of the major migratory pests warned by the Food and Agriculture Organization (FAO).It has been successfully invaded sugarcane and corn in Jinggu,Longchuan,Gengma,Menghai,Yingjiang,Lancang of Yunan Province,China.In view of the great variety of hosts,wide range of habitats and strong migration ability,S.frugiperda has the potential of causing catastrophic threats to sugarcane production.In this paper,we made a systematic introduction to the morphological and biological characteristics of S.frugiperda,analyzed its occurrence situations and occurrence trends in Yunnan of China and other countries around the world,and proposed the control strategies and measures of ecological regulation and control,natural enemies protection and utilization,biological control,pesticide control and adults trapping based on the outbreak characteristics of S.frugiperda and the actual sugarcane production in low latitude plateau areas.

Technical development of operational in-situ marine monitoring and research on its key generic technologies in China

In China,operational in-situ marine monitoring is the primary means of directly obtaining hydrological,meteorological,and oceanographic environmental parameters across sea areas,and it is essential for applications such as forecast of marine environment,prevention and mitigation of disaster,exploitation of marine resources,marine environmental protection,and management of transportation safety.In this paper,we summarise the composition,development courses,and present operational status of three systems of operational in-situ marine monitoring,namely coastal marine automated network station,ocean data buoy and voluntary observing ship measuring and reporting system.Additionally,we discuss the technical development in these in-situ systems and achievements in the key generic technologies along with future development trends.