Quantitative Evaluation System Research Articles

Research on the evaluation method for safety cognitive ability of workers in high-risk construction positions

PurposeSafety cognitive ability is a key factor influencing unsafe behavior. However, the existing achievements have not yet involved the division of the hierarchical relationship of factors influencing safety cognition and lack a quantitative evaluation system of safety cognitive ability. The purpose of this paper is to find out the deficiencies in the safety cognition of workers in high-risk construction positions and to provide practical suggestions for improving their safety cognitive ability and reducing unsafe behavior.Design/methodology/approachBased on the iceberg model, the factors influencing the safety cognitive ability of workers in high-risk construction positions and their hierarchical relationship were determined, and an evaluation index system consisting of four primary indicators and 20 secondary indicators was constructed. The game theory algorithm was used to optimize the subjective and objective weights of the indicators calculated by the sequential analysis method (G1) and the entropy weighting method (EWM) to obtain the optimal combination weight value. The Matlab software was used for cloud mapping and similarity calculation to determine the safety cognitive ability level of the object to be evaluated.FindingsThe research results indicate that the comprehensive level of safety cognitive ability of scaffolders in this construction project is at “Level III”, the fundamental factors and compliance factors are at “Level IV”, the auxiliary factors and driving factors are at “Level III”. This conclusion aligns with the situation learned from the previous field investigation, which validates the feasibility and scientificity of the proposed evaluation method.Research limitations/implicationsConsidering that the safety cognitive ability of construction workers is constantly changing, this study has not yet delved into the specific impacts of various influencing factors on the level of safety cognitive ability. Future research can utilize simulation software, such as MATLAB and Vensim, to construct dynamic simulation models that accurately simulate the changing rules of construction workers’ safety cognitive ability under the influence of different factors.Practical implicationsThis research broadens the application scope of the iceberg model, enriches the analysis model of the factors influencing the safety cognitive ability of workers in high-risk construction positions and provides a novel perspective for similar research. The safety cognitive ability evaluation method proposed in this paper can not only accurately evaluate the safety cognitive ability level of workers in high-risk positions such as scaffolders but also provide practical suggestions for improving the safety cognitive ability of workers, which is of great significance to improve the safety management level and reduce unsafe behavior in the construction field.Originality/valueThis research fills the research gap of workers in high-risk construction positions and the quantification of safety cognitive ability. The iceberg model is used to realize the hierarchical division of the factors influencing safety cognitive ability. Additionally, an evaluation method for the safety cognitive ability of workers in high-risk construction positions based on the game theory combination weighting method and cloud model is proposed, which realizes the quantitative evaluation of safety cognitive ability.

Establishment of a Quantitative Evaluation System for Interferon Pathways in Patients with Lupus Nephritis

Establishment of a Quantitative Evaluation System for Interferon Pathways in Patients with Lupus Nephritis

Investigation of hand tremor suppression by a customized passive surgical support robot during internal limiting membrane peeling.

To construct a quantitative evaluation system for hand tremor during internal limiting membrane (ILM) peeling and investigate changes in hand tremor attributable to the use of the customized passive surgical support robot. This analytical and experimental study developed a hand tremor evaluation system that synchronizes three elements: surgical microscope images, an artificial eye module with a force sensor to simulate ILM peeling, and microforceps with an inertial measurement unit. Two surgeons used this system to measure hand tremor during ILM peeling with and without the robot. The horizontal, vertical, and combined vertical and horizontal components of hand tremor were 8.1 ± 6.1, 1.7 ± 1.8, and 8.5 ± 6.2 mG, respectively, in the no robot group. These components decreased to 7.2 ± 6.0, 1.5 ± 1.7, and 7.5 ± 6.1 mG, respectively, in the robot group. In particular, hand tremor was significantly suppressed by 11.9% for the horizontal component using the robot (p = 0.0006). The newly constructed system helps to quantitatively evaluate hand tremor during ILM peeling. The customized passive surgical support robot enables to decrease hand tremor during ILM peeling.

System for Detection and Quantitative Evaluation of Compensatory Movement in Post-Stroke Patients Based on Wearable Sensor and Machine Learning Algorithm

System for Detection and Quantitative Evaluation of Compensatory Movement in Post-Stroke Patients Based on Wearable Sensor and Machine Learning Algorithm

Analysis of Feasible Pathway of Marinefishing Net Recycling of China-Case Study of Sanya City,Hainan Province

As single-use plastics, abandoned fishing nets cause pollution and damage to the ocean and biodiversity. This is a hot topic in international environmental and plastic governance. Fishing net materials are mainly composed of thermoplastics, including polyamide (nylon, PA) , polyethylene terephthalate (PET) and polypropylene (PP) . The real solution to pollution is to bring back waste fishing nets for recycling and use them in high-value recycled products. The research team conducted on-site research in Sanya City in April 2023. The survey found that the main fishing gear used by fishermen in Sanya is gillnets. Due to reasons such as low recycling value and high salvage costs, the local area has not yet formed a closed-loop industrial chain for waste net high-value recycling. The survey also found that Sanya fishermen have a positive attitude towards increasing fishing net recycling, but their actual actions are also restricted by factors such as the price of fishing net recycling and the convenience of recycling. Based on the survey results of this fishing net recycling, the research team provides four feasible suggestions for high-value utilization of fishing net recycling and regeneration. The first is to introduce upstream and downstream enterprises and terminal brand enterprises to regenerate fishing nets to produce high-value recycled products, thereby increasing the initial recycling price of fishing nets. The second is to establish a “centralized recycling demonstration site” to improve the efficiency of fishing net recycling through differential price subsidy recycling models. The third is to establish the traceability of fishing net recycling and the quantitative evaluation system of recycled carbon emission reduction to give full play to the commercial value and carbon market value of recycled fishing nets. The fourth is to strengthen the publicity of the environmental benefits of fishing net recycling and promote community environmental sustainability through capacity building and training. Continuous development.

Heritage Evaluation of the Carob Tree MTAS in the Territory of Valencia: Analysis and Social Perception of the Ecosystem Services and Values from Cultivating It

The concept of Multifunctional Territorialized Agrifood Systems (MTASs) arose as an alternative to global hegemonic models in the 21st century. This study intends to identify the main ecosystem values and services generated by the MTAS of the carob tree in the territory of Valencia, which is one of the most characteristic dryland fruit tree species farmed in the Mediterranean. To do so, a multi-criteria quantitative evaluation system has been used that enables values to be assigned to the kinds of significance placed on MTASs. For this purpose, a questionnaire was carried out with 268 local inhabitants. The global score obtained is 7.6 points, indicating a high heritage value. Some of the criteria with the best scores are related to the authenticity of the carob tree and its social and historical values since this crop is a testament to ancestral techniques and traditions. Furthermore, this Mediterranean crop provides numerous ecosystem services and has multiple properties and applications, mainly in the food and pharmaceutical industries. The local population has scored the vulnerability value with only 4.1 points as a consequence of the progressive abandonment of the cultivated area in recent decades. Therefore, greater involvement from social stakeholders is essential in order to preserve this crop.

Post-utilization Evaluation of Public Space in Traditional Villages and Towns from the Perspective of Space Syntax

After the Rural Revitalization Strategy was formally put forward in the report of the 19th National Congress of the Communist Party of China in 2017, the protection and utilization of traditional villages and towns have received significant attention from China’s academic circle and society as an important aspect of the strategy. Although many Chinese traditional villages and towns have been reconstructed successfully, there are still relatively limited academic studies on the assessment of their performance after utilization. It is a challenge that has to be solved urgently for current academic studies on traditional village protection and updating to develop village renovation techniques to provide a suitable living environment and protect traditional regional characteristics. Therefore, a systematic study on traditional village protection in China based on demonstration areas has important academic and practical significance in implementing the rural revitalization strategy and promoting overall urban-rural development. A post-use quantitative evaluation system of traditional villages and towns was established in the present study by introducing the leading space syntax theoretical technology in the field of urban morphological analysis and combining with the AHP-fuzzy comprehensive method, combining existing qualitative and quantitative analysis means. Moreover, reconstruction strategies of traditional villages and towns were proposed according to feedback information from evaluation results. Results showed that (1) according to a case study based on typical traditional villages and towns in Shawan Ancient Town in Guangzhou City, the post-utilization evaluation system of public space in traditional villages and towns demonstrates applicability and generalizability. (2) From 2010 to 2020, the highly integrated network of Shawan Ancient Town formed a ‘cross’ pattern. The accessibility and traffic capacity of the road network improved to a certain extent after the renovation. (3) Public space in Shawan Ancient Town is ranked as ‘good’ concerning cultural construction, while the functional evaluation and economic, social effects are ‘moderate’. Finally, a public space protection and renewal framework of traditional villages and towns was established from the perspectives of an optimized spatial layout of ancient towns, enhancing users’ satisfaction and actively conducting cultural activities. This study is expected to provide scientific references to rebuild rural images and inherit regional context.

Модернизация китайского типа: эволюция концепции

The concept of “Chinese-style modernization” formulated in the end of the 1970s has been at the center of attention of the Chinese leadership and researchers since the beginning of this decade. The notion of primacy of national characteristics was transformed from a former reference to China’s weakness and backwardness to current focus on development success. Explanations of plans for China’s “basic socialist modernization” by 2035 formed the channel of influence of official policy on the academic discussions. The article analyzes contemporary Chinese comparisons of Chinese and Western paths of modernization along with theoretical reflections on the patterns of “Chinese-style modernization”. The determination to make China’s experience a reference point for policy decisions in developing countries is connected with studies in modernization theory. The question of the correlation between the general patterns of modernization and the specifics of the Chinese path of development has come to the fore. The emphasis on the differences between Chinese-style modernization and Western and Soviet models substantiates the theoretical possibility of a new development perspective for other countries, and encourages them to develop independent modernization strategies based on their own national specifics. Chinese researchers consider attempts by backward countries to copy the advanced institutions of developed nations as useless and even dangerous. China’s modernization is not complete, in the field of economic development there are mounting difficulties related to lagging behind in science and technology, deteriorating external environment, slowing growth, ageing population. While examining Chinese studies of Chinese-style modernization, it is appropriate to focus on the development of academic concepts, quantitative evaluation system and discursive system. Explorations in theory will be determined by practical achievements, first of all, by China’s ability to maintain sustainable balanced growth of the economy. The preliminary outcome can be assessed in the middle of the next decade, when China plans to build the foundations of modernization. The final judgement on the effectiveness of Chinese-style modernization will be made only after the results of China’s plans to become a world leader are known in the middle of this century.

Exploring a Quantitative Evaluation System for Young Chinese Footballers: A Preliminary Approach

Exploring a Quantitative Evaluation System for Young Chinese Footballers: A Preliminary Approach

Exploring Dual Dimensions in Piano Performance Practice Based on Modern Digital Technology

Abstract The practical area of “piano performance” is one of the core areas in the piano classroom, and performance skills need to be applied in the practical area of “piano performance”. In this paper, the Leap Motion algorithm is used to extract the piano gesture movements, and the frame-by-frame processing is performed to encode the velocity direction of the fingers during the piano performance. Probabilistic predictions for forward and backward algorithmic sequences of fingers during playing are generated by using the HMM algorithm. To improve piano fingering automatic labeling, we propose combining the HMM algorithm with the judgment HMM algorithm and the Viterbi improvement algorithm for prioritizing piano fingering knowledge. The quantitative evaluation system for piano performance fingering is established to evaluate fingering in piano performance and check the performance scoring of the piano. The selection process included selecting three music clips that had a scoring rate above 0.8764, a gap between them that was not more than 0.06, and superior piano fingering generation quality. In the pre-post performance scoring of each dimension, the performer’s overall performance of the work on the overall appearance of the highest score, the highest score reached 84, the average score of 72.565, the piano performance of the follow-up effect is better. The assisted piano performance practice through digital technology helps piano players improve their performance skills and provides theoretical and practical references for the exploration of piano performance.

Trampoline Stiffness Estimation by Using Robotic System for Quantitative Evaluation of Jumping Exercises.

Trampolines are recognized as a valuable tool in exercise and rehabilitation due to their unique properties like elasticity, rebound force, low-impact exercise, and enhancement of posture, balance, and cardiopulmonary function. To quantitatively assess the effects of trampoline exercises, it is essential to estimate factors such as stiffness, elements influencing jump dynamics, and user safety. Previous studies assessing trampoline characteristics had limitations in performing repetitive experiments at various locations on the trampoline. Therefore, this research introduces a robotic system equipped with foot-shaped jigs to evaluate trampoline stiffness and quantitatively measure exercise effects. This system, through automated, repetitive movements at various locations on the trampoline, accurately measures the elastic coefficient and vertical forces. The robot maneuvers based on the coordinates of the trampoline, as determined by its torque and position sensors. The force sensor measures data related to the force exerted, along with the vertical force data at X, Y, and Z coordinates. The model's accuracy was evaluated using linear regression based on Hooke's Law, with Mean Absolute Error (MAE), Root Mean Square Error (RMSE), and Correlation Coefficient Squared (R-squared) metrics. In the analysis including only the distance between X and the foot-shaped jigs, the average MAE, RMSE, and R-squared values were 17.9702, 21.7226, and 0.9840, respectively. Notably, expanding the model to include distances in X, Y, and between the foot-shaped jigs resulted in a decrease in MAE to 15.7347, RMSE to 18.8226, and an increase in R-squared to 0.9854. The integrated model, including distances in X, Y, and between the foot-shaped jigs, showed improved predictive capability with lower MAE and RMSE and higher R-squared, indicating its effectiveness in more accurately predicting trampoline dynamics, vital in fitness and rehabilitation fields.

화재대응 모의훈련평가시스템 개발에 관한 연구

This study developed a simulated fire response training evaluation system based on the Internet of Things to acquire training participants' initial response skills through realistic and practical fire response training, and continuously improve the response activities of training participants based on a quantitative and objective training evaluation system. With the goal of minimizing the scale of fire damage through rapid and accurate response in the event of an unexpected fire accident by establishing a research process for this purpose, developing a fire response training evaluation system based on the overall technical investigation required for research After the operation test, the evaluation system was installed in the test place, and fire response simulation training was conducted for 20 occupants. Prior to training, the evaluation system smartphone app was used to input the training date and time, and after explaining how to use the evaluation system device to the participants, the training was conducted and the results were analyzed.
 As a result, the fire response simulation training evaluation system developed in this study can produce the behavior of fire smoke and measure the time required for each response step of training participants through the system device as a quantified value, enabling quantitative training evaluation. was derived.
 Through this system development and operation experiment, 1) it is possible to implement a fire training situation similar to an actual fire situation using the fire initial response training evaluation system, and 2), it is possible to evaluate fire training quantitatively by response stage, based on the results As a result, future training feedback and continuous improvement activities are possible, and 3) training participants can learn accurate response behaviors, and evaluation can be objectively and quantitatively measured.

Intelligent performance evaluation of e-commerce express services using machine learning: A case study with quantitative analysis

Amidst the robust development of the service economy and information technology, the information age has significantly transformed consumption concepts and service demands. The requirements for logistics services from customers have become increasingly stringent. Beyond price and speed, quality has steadily emerged as the most crucial factor. When evaluating express services, experts primarily choose indicators from an enterprise perspective, mainly overlooking customer perception. The purpose of this paper is to establish a key index system for assessing the quality of express services aimed at improving the service quality of express deliveries within the development mode of intelligent logistics. In terms of methodology, we proposed a quantitative and qualitative e-commerce logistics service evaluation system. Specifically, we developed a key index system for assessing the quality of express services based on the theory of the six senses and the selection from an index library at first. And then, we ascertained the weight of each index in the evaluation by analyzing the proportion of customer comments. We employed analysis methods of machine learning, text data processing, mathematical statistics, and big data technology to determine the evaluation index and evaluation model of express service. Finally, our primary findings from the empirical verification and analysis of a real express enterprise indicate that this evaluation model can effectively assess the quality of express services. Our model can evaluate the current service quality and predict the quality of future services. We have derived some interpretations and conclusions based on these analyses and findings. Firstly, the level of customer perception is of great importance in the evaluation of express service quality. Secondly, our model can provide valuable feedback for express enterprises to improve their services. Lastly, we proposed corresponding improvement strategies to enhance the service quality of express enterprises under the intelligent logistics development mode.

Multimodal factor evaluation system for organismal transparency by hyperspectral imaging.

Organismal transparency constitutes a significant concern in whole-body live imaging, yet its underlying structural, genetic, and physiological foundations remain inadequately comprehended. Diverse environmental and physiological factors (multimodal factors) are recognized for their influence on organismal transparency. However, a comprehensive and integrated quantitative evaluation system for biological transparency across a broad spectrum of wavelengths is presently lacking. In this study, we have devised an evaluation system to gauge alterations in organismal transparency induced by multimodal factors, encompassing a wide range of transmittance spanning from 380 to 1000 nm, utilizing hyperspectral microscopy. Through experimentation, we have scrutinized the impact of three environmental variables (temperature, salinity, and pH) and the effect of 11 drugs treatment containing inhibitors targeting physiological processes in the ascidian Ascidiella aspersa. This particular species, known for its exceptionally transparent eggs and embryos, serves as an ideal model. We calculated bio-transparency defined as the mean transmittance ratio of visible light within the range of 400-760 nm. Our findings reveal a positive correlation between bio-transparency and temperature, while an inverse relationship is observed with salinity levels. Notably, reduced pH levels and exposure to six drugs have led to significant decreasing in bio-transparency (ranging from 4.2% to 58.6%). Principal component analysis (PCA) on the measured transmittance data classified these factors into distinct groups. This suggest diverse pathways through which opacification occurs across different spectrum regions. The outcome of our quantitative analysis of bio-transparency holds potential applicability to diverse living organisms on multiple scales. This analytical framework also contributes to a holistic comprehension of the mechanisms underlying biological transparency, which is susceptible to many environmental and physiological modalities.

Objective tools in pediatric voice therapy: A path to improved outcomes

This is an invited presentation in the Special Session titled, “Voice therapy: objective measurement science and clinical efficacy.” Pediatric dysphonia (hoarseness) is a common condition with prevalence estimates ranging from 1.4% to 23.9%. Dysphonia can be detrimental to children both psychologically and academically; hence, early identification and restoration of optimal vocal health is critical. Direct visualization of vocal fold vibratory patterns is fundamental for appropriate diagnosis and treatment of vocal fold pathology. Thus, evaluation of vocal fold structure and cycle-to-cycle vibratory motion through techniques of direct visualization of the vocal fold is essential for clinical assessment and measurement of treatment outcomes. This session will discuss the most recent advances in objective voice assessment and measurement of voice therapy outcomes in children. The focus will be on discussing an innovative approach that leverages high-speed videoendoscopy and a cutting-edge custom developed laser projection system for quantitative evaluation of lesion size and comprehensive evaluation of opening and closing phase dynamics of the glottal cycle before and after voice therapy in children with vocal fold nodules.

Wireless, Smart Hemostasis Device with All-Soft Sensing System for Quantitative and Real-Time Pressure Evaluation.

The properly applied pressure between the skin and hemostasis devices is an essential parameter for preventing bleeding and postoperative complications after a transradial procedure. However, this parameter is usually controlled based on the subjective judgment of doctors, which might cause insufficient hemostatic effect or thrombosis. Here this study develops a compact and wireless sensing system for continuously monitoring the pressure applied on the radial artery and wrist skin in clinical practice. A liquid metal (LM)-based all-soft pressure sensor is fabricated to enable conformal attachment between the device and skin even under large deformation conditions. The linear sensitivity of 0.007kPa-1 among the wide pressure range of 0-100kPa is achieved and the real-time detection data can be wirelessly transmitted to mobile clients as a reference pressure value. With these devices, detailed pressure data can be collected, analyzed, and stored for medical assistance as well as to improve surgery quality.

PEDAGOGICAL DOCTORAL STUDENTS IN CHINA UNDER PRESSURE: AN EMPIRICAL ANALYSIS OF CSSCI JOURNALS

The prerequisite for doctoral students in Chinese universities to obtain their degrees was to publish a certain number of papers in designated journals, which is the main pressure on doctoral students in China. This study focused on the publication pressure of doctoral students in pedagogy in China under the policy of breaking the ‘five only’, which aims to diversify the evaluation criteria for academic quality and reduce the reliance on paper publications. The study analyzed the data of 36 pedagogical CSSCI journals from 2016 to 2020, and examined the trends and patterns of publishing pedagogy articles in these journals. The study also explored the factors that influence the publication pressure of doctoral students in pedagogy, such as the admission system, the expansion of doctoral enrollment, and the recruitment system for young teachers. The results show that Chinese pedagogy CSSCI journals are declining in number and are dominated by well-known scholars and institutions. Doctoral students in pedagogy face a more severe academic situation than university teachers, as they have to publish papers to graduate and compete for limited journal space. They also face the pressure of publication under the application-appraisal system and the system of “promote or leave”. The study suggests that colleges and universities need to break through the quantitative evaluation system of doctoral students’ academic achievements and pay more attention to the training system and academic culture that promote their physical and mental health and academic development. Keywords: breaking the ‘five only’, CSSCI journals, data statistics, pedagogical doctoral students in China, publication pressure

Diagnostic Performance of Toluidine Blue Stain for Direct Wet Mount Detection of Cryptosporidium Oocysts: Qualitative and Quantitative Comparison to the Modified Ziehl-Neelsen Stain.

(1) Background: The wet mount staining technique is a simple, economical, and rapid method for detecting parasitic stages. The objective of the current study was to evaluate wet mount diagnostic stains for Cryptosporidium infection in human faecal samples and to compare the sensitivity and qualitative performance of toluidine blue (TolB) and modified Ziehl-Neelsen (mZN) stain. (2) Methods: The collection, purification, and molecular amplification of Cryptosporidium oocysts were performed. TolB, malachite green, trypan blue, and crystal violet were evaluated qualitatively to diagnose Cryptosporidium oocysts. The outperforming stain was compared to mZN using a quantitative evaluation and qualitative scoring system. (3) Results: The oocysts of Cryptosporidium parvum were effectively purified and utilized for spiking. TolB was the most effective diagnostic stain among wet mount stains for detecting Cryptosporidium oocysts. TolB outperformed mZN in terms of sensitivity, with 100% versus 79% at a concentration of 104 and 49% versus 23% at a concentration of 102. TolB had the most favourable qualitative stain characteristics against mZN; however, sample freshness and being a temporary stain were crucial considerations. (4) Conclusions: This study emphasizes that TolB, as a routine wet mount technique for screening Cryptosporidium infection, will provide a more sensitive and faster method than mZN staining.

MADM-Q, an efficient multi-attribute decision-making support system for offshore decommissioning

With decades of development, some offshore facilities are reaching their design lives and need to be decommissioned. However, due to the limitation of regulations, technologies, and other aspects, which decommissioning options should be chosen is a challenging task. This paper introduces a multi-attribute quantitative evaluation system called MADM-Q (Multi-Attribute Decision Making-Quantitative), which can show decision makers with decommissioning options’ cost, risk, and environmental impact assessment results. The system consists of an input, output, and three processing modules. The Engineering Cost Evaluation System (ECES) is the first bottom-up approach cost assessment model in offshore facility decommissioning research. The Hierarchical Analyst Domino Evaluation System (HADES) acts as the risk assessment module, considering Domino Effect Accidents (DEAs) and providing accurate and rapid quantitative risk assessment results. The third sub-model, Composite Impact Evaluation System (CIES) assesses the environmental and socioeconomic impacts of the project. The system can obtain the basic cost range and the Individual Risk Per Annum (IRPA) value of the project quickly by using some simple inputs. The results of ECES and HADES reflects excellent accuracy - 12% cost evaluation average deviation and 1.43E-04 IRPA evaluation bias. Although currently, the HADES is a quasi-dynamic risk assessment method, it would be easy to develop it into a real-time dynamic risk monitoring and assessment system by combining advanced technologies such as digital twin technology and sensor technology.

Quantitative VfM evaluation of urban rail transit PPP projects considering social benefit

Urban rail transit is a crucial component of modern urban transportation systems. This study focuses on the value-for-money (VfM) quantitative evaluation, specifically examining the existing evaluation system in the context of China and Public-Private Partnership (PPP) characteristics. Drawing insights from value engineering, the study addresses the shortcomings of the current VfM evaluation system. Additionally, it introduces the quantification of social benefits into the quantitative evaluation of PPP projects in urban rail transit. The paper presents a novel quantitative evaluation system for VFM, considering social benefits, and provides a calculation flow specifically tailored for PPP projects in urban rail transit. Furthermore, the study identifies and presents quantitative methods for assessing the social benefits of urban rail transit projects. Overall, this research contributes to the advancement and enhancement of quantitative VfM evaluation in PPP projects, serving as a valuable reference for quantifying the social benefits of urban rail transit projects and informing policies related to urban rail transit PPP projects.