bluuebunny/crossref_metadata_2025_split huggingface dataset:
Empirical Analysis and Predictive Modeling of Return on Education Investment in Regional Economic Growth
Authors: Zhang Liwei 
Published: October 2024

Abstract
The rate of return on education can measure the size of the return on investment in education, which is an important research area related to national development. The purpose of this paper is to analyze and discuss the relationship between education, regional economic development, and related influence variables using a multilayer linear model. CGSS data of 31 provinces and cities in 2021 are chosen as the empirical analysis data, which are divided into east, middle, and west regions according to geographic location, and the differences in industrial development of the three major regions are measured in terms of upgrading of industrial structure, seniorization, rationalization, urbanization, investment in education, and technological development. Create a model to evaluate the impact of industrial structure upgrading on education investment return in each region. Separately, the slope prediction model includes education variables and regional economic development variables to examine the predictive impact of regional economic growth on the return on education investment. The coefficient of the cross-level interaction term between years of education and regional economic development has a value of 0.07829, and it passes the 1% statistical significance test with a significant cross-level interaction effect. It indicates that the higher the degree of regional economic development, the greater the role of educational human capital in promoting residents’ income, i.e., the rise in the degree of regional economic development will significantly increase the return on investment in education.
Research on high-precision interior decoration design visualization model based on BIM technology
Authors: Zhang Peng 
Published: October 2024

Abstract
Accompanied by the continuous improvement of living standards, people's requirements for housing have become higher and higher, and on the basis of meeting the basic needs of life, the artistry of interior decoration has become more and more important. After clarifying the workflow of building information technology modeling, the study builds a management platform based on BIM technology in the Revit environment to achieve high-precision decoration design. Subsequently, the Kinect sensor was used to obtain point cloud data of the interior decoration scene and combined with the improved ICP matching algorithm for visual 3D modeling of interior decoration to evaluate the effect of high-precision interior decoration design. The mean values of satisfaction for the presentation of interior decoration style in the top view were 5.524 and 22.45 for usability, and the mean values of satisfaction and suitability for the presentation of interior decoration color in the top view were 5.812 and 22.22, respectively. For the layout carrier, the mean values of satisfaction for the presentation of the top view were 5.905 and 22.62 for usability. The use of BIM technology in high-density interior design leads to better results.
Impact assessment of multilateral trade agreements on regional economic growth based on quantitative model optimization
Authors: Zhang Yanping , Wang Qiucheng 
Published: October 2024

Abstract
In the context of an increasingly complex international political and economic situation, major powers have promoted the formation of regional trade agreements of various forms and scope. The impact of MTAs on regional economic growth is explored in this topic, using the Regional Comprehensive Economic Partnership Agreement (RCEPA) as an illustration. Through mathematical modeling and quantitative assessment, a general equilibrium model of the impact of a multivariate trade agreement on regional economic development has been constructed. Different regions and industrial sectors related to the agreement are delineated, and different simulation scenarios are designed to assess the impact of MTAs on regional economic growth under different scenarios. The results show that the members and non-members of the MTA under different simulation scenarios are positively and negatively impacted to varying degrees, with Japan, Australia, and New Zealand among the RCEP members experiencing the most significant positive stimulus, with GDP growth of 3.95%, 2.89%, and 2.11%, respectively. Non-members had a negative impact on the scale of imports and exports and terms of trade, with the United States and India shrinking by 1.16% and 1.69%, respectively. Overall, the MTA contributes positively to the development of regional economic growth.
Research on Recommendation Methods for Scientific and Technological Information and Their Application in College Education - Based on Knowledge Graphs
Authors: Zhou Rui , Zhang Nan 
Published: October 2024

Abstract
In the current technology information recommendation system, the construction of the user behavior matrix frequently results in matrix sparsity and user cold start issues. To address this problem, TransAR-CF, a knowledge graph-based technology information recommendation method, is proposed, which mainly combines item similarity and semantic similarity to form a hybrid similarity matrix and then accomplishes the task of constructing a knowledge graph-based technology information recommendation model. The model is applied to a college education by constructing a college education service system, and the recommendation model and system experience are tested separately. The convergence speed of this paper’s model is higher than that of the CFKG model on both datasets A and B, and the difference between the two ranges from 0.02 to 0.12. According to the four dimensions of system design, learning support, evaluation design, and teaching effect, 70% to 90% of users have a positive attitude toward this paper’s system. In summary, the TransARCF method solves the problem of scientific and technological information that is difficult to adapt accurately but has high acceptance and good utility in college education.
Research and Practice of Intelligent Improvement Strategies for Teacher-Student Relationships Toward Educational Community
Authors: Lv Wei 
Published: October 2024

Abstract
A good teacher-student relationship is an important part of the educational community and a symbol of spiritual civilization. Effective teaching in the classroom requires even better communication and interactive actions between teachers and students, and measures to improve teacher-student relationships are proposed for the sake of classroom teaching. In this paper, an adaptive learning system based on cognitive diagnosis is constructed, which utilizes the DINA cognitive diagnosis model to obtain the learner’s cognitive structure, perceive the changes in the student’s cognitive structure in real time, and allow the learning task to make adaptive adjustments. The K-means clustering algorithm randomly selects the number of K objects as the center of mass for the initial clustering, and after the output of clustering and layering results, the students will be classified according to the categorization of the student’s learning needs. The students are divided into three groups that are similar within the group. By doing this, the learning task becomes adaptive, and appropriate learning tasks are adjusted for different levels of learners. Most of them believe that the adaptive learning system can help learners improve their learning efficiency and are very satisfied with the effectiveness of the system. The proportion of teachers who were satisfied with overall perception reached 89.1%, and the proportion of students who were satisfied was also high. The overall perceived effect of the improved teacher-student relationship is excellent, suggesting that the adaptive learning system can effectively improve the teacher-student relationship.
A Study of Cultural Output in the Translation of Modern and Contemporary Chinese Literature Based on the Interpretive Structure Model
Authors: Wang Jingui 
Published: October 2024

Abstract
This paper examines in detail the Chinese cultural elements in contemporary Chinese literature, and analyzes the state of presentation and regional characteristics of Chinese cultural elements through data. A quantitative statistical method is used to examine the translation strategies adopted by the English translation of Red Sorghum for the cultural elements, and typical samples are selected and discussed in the light of translation theories. With the help of the explanatory structure model, the mutual influence relationship between the indicators of the cultural elements of the translation of Red Sorghum is analyzed, and a directed graph of the recursive structure of the indicator elements is constructed. According to the results, the translations of contemporary Chinese literature contain six different types of Chinese cultural elements, including character elements, object elements, landscape elements, conceptual elements, folklore elements, and other elements. The regions of East China (31.05%) and North China (26.11%) accounted for a larger proportion of the geographic regions. In the English translation of Red Sorghum, approximately 16%-35% of Chinese object elements were accurately translated. According to the explanatory structure model, the level of cultural output in the translation of Red Sorghum is directly influenced by object elements, landscape elements, conceptual elements, and folklore elements. The analysis process and results of this paper help promote research on the level of translated cultural output, which has certain theoretical reference significance and application value.
Comparative Study on the Impact of Human Factors on Operational Performance of Innovation Hubs
Authors: Vijayakumar Anandhu , Davidova Jelena 
Published: October 2024

Abstract
To fill a gap in current literature, this paper analyses the impact of human factors on the operational performance of innovation hubs in the SAARC Nations and the European Union. Upon conducting an extensive examination of academic literature, four primary classifications of human factors were determined: organizational factors, individual attributes, the nature of a task and working environment. This research offers a cross-sectional analysis of these factors and their implications on innovation centres in the culturally and economically diverse domain of SAARC Nations and the European Union. The findings suggest that organizations functioning in the context of Innovation hubs in SAARC Nations, where centralized authority and value correctness is mostly emphasised on, face challenges in order to foster employee engagement and creativity. However, the innovation hubs of the European Union receive treatment from a more flexible and tolerant approach which is backed by progressive technology and is incredibly sensitive to concerns touching on ergonomics and safety of the working environment. This research highlights High performing, High committing, and High involvement management, management techniques to manage human factors to enhance operation performance. Adaptive and individual approach to the management of human variables, based on the differences in cultural and economic conditions of each region, is essential for effective development of the innovative substance and competitive advantage, the paper states. The results obtained from this study offer important guidance for the policymakers, managers and practitioners who are involved in managing and creating innovation hubs. It has provided a framework of how the organisation’s operation performance may be improved through effective management of human resources.
Correlation Analysis of Heavy Metal Concentrations in the Tailing Dumps Branch 1 and 2 Lupeni Using Pearson Coefficient Matrix
Authors: Ioniţă Mădălina-Flavia , Radu Sorin Mihai , Dunca Emilia-Cornelia 
Published: October 2024

Abstract
In the context of growing concerns related to the impact of mining activities on the environment, the present study focuses on the analysis of the correlations between the concentrations of heavy metals in Branch 1 and 2 tailing dumps in Lupeni, using Pearson correlation coefficient matrix. Tailing dumps from mining activity can be significant sources of soil contamination with heavy metals. In this work, the waste dumps Branch 1 and 2 were taken as a case study. This dump has been inactive for about 7 years and is the result of the exploitation of the waste from Lupeni mine located in the Jiu Valley. In this study, soil samples from the two branches of the tailing dump were collected and analyzed to determine heavy metal concentrations. Using Pearson correlation coefficient, statistical relationships between the concentrations of these heavy metals were calculated, providing a detailed matrix of correlations between them. This statistical analysis can help develop more effective remediation and management strategies, lessening the long-term impact of mining activities on the environment and human health.
Internal OSH Regulation of Working at Height by Using Utilitarian Climbing Techniques In Telecommunication Operations
Authors: Băbuţ Gabriel Bujor , Dărămuş Robert Alexandru , Moraru Roland Iosif , Popescu-Stelea Mihai 
Published: October 2024

Abstract
The modernization and expansion of telecommunications networks in Romania led to the explosive growth of the number of workers engaged in these activities. A determined role in the performance of these activities belongs to workers employed in the occupation of utility climber who face a risk with often fatal consequences, namely the risk of falling from a height. Carrying out work at height in safe and healthy conditions by using utilitarian climbing techniques in the field of telecommunications requires its internal regulation according to OSH, through the elaboration of OSH's own instructions. Unfortunately, the main operators in the field of telecommunications in Romania, who have the legal obligation to draw up these instructions, are currently facing multiple legislative and methodological gaps, as well as a lack of knowledge and information. In this context, this paper aims to contribute to the improvement of the safety and health of workers in the field of telecommunications in Romania, by elaborating a framework structure of the own OSH instructions for the activity of working at height by using utilitarian climbing techniques. The proposed framework structure is based on an exhaustive bibliographic documentation at the national level and has a modern and innovative character, while its content can be adapted to the particularities of the activities carried out by all operators in the field of telecommunications in Romania. With rigorous adaptations, its applicability can be successfully extended to all economic operators who carry out work activities at height by using utility climbing techniques.
Technical-Economic Protection of Small Modular Reactors (SMR) Considered Energy-Mining Objectives
Authors: Radu Sorin Mihai , Gâf-Deac Ioan , Burian Alexandru , Coandreş Ciprian , Flinker Alexandru , Ceuţă Simona , Bocşiţan Mariana Valentina , Danci Marius Daniel , Tashchi Eugene 
Published: October 2024

Abstract
Based on scientific research, it appears that for investments in complex energy-mining infrastructures (including the SMR Doicești-Dâmbovița), attention must be paid to the groups of variables belonging to weak points and threats. The main objective of the article is to combine the sub-strategies of the complex energy-mining infrastructures for protection, safety and security, respectively to obtain the appreciation of the level of positive situation on the scale of the coefficients of importance of the components of the researched complex. The approach in relation to the main objective also gives rise to the formulation of three secondary objectives, as follows: a) identification of probabilities and degree of risk assessment regarding protection, safety and security in complex energy-mining infrastructures and characterization of the consequences in the field; b) the application of the SWOT analysis and the TOPSIS Method for the researched objective, emphasizing the characteristics located between appropriate weights; c) highlighting the strategic values of the sub-strategies in relation to nuclear protection, safety and security, showing the decision-makers whether the investment in the energy-mining infrastructure is feasible, reliable and efficient. The paper reports technical protection considerations of the Small Modular Reactors (SMR) system, the list of nuclear hazards/events/incidents drawn up for SMR, technical aspects in the system of underground mining enterprises for the extraction of uranium ore. Also presented are the factors of opportunities, threats, strengths and weaknesses systematized in the SWOT analysis for SMR, the possible algorithm and mathematical models of mining security, the characterization of sub-strategies of protection, safety and nuclear security in relation to the importance coefficients collected for the decision to mount and put into operation the SMR.
Association of the COVID-19 pandemic on the risk of mental disorders among healthcare personel
Authors: Pucel Sylwia , Sierakowska Matylda 
Published: October 2024

Abstract

Introduction. The SARS-CoV-2 pandemic has left a physical and psychological mark on human beingsall around the world . Regardless of age, gender or social status, the burden of the pandemic and its eff ects are felt by the entire population. Depending on the SARS-CoV-2 variant and risk factors the symptoms of SARS-CoV-2 infection can vary, both in frequency and severity. In clinical practice, the severity of the disease is determined by using a four-grade scale, to which the patient’s treatment, care and rehabilitation are individually tailored . A separate issue of the aftermath of SARS-CoV-2 is the psychological eff ects on those at risk, patients and medical personnel. The widespread of the pandemic, the imposed restrictions and the continuing scale of the disease have negatively aff ected mental health, which cannot be underestimated. An important task is to implement prevention and recovery programs to counteract the long-term eff ects of the pandemic.

Aim. The aim of this study is to assess risk of depression, anxiety, stress and post-traumatic stress disorder (PTSD) symptoms among medical personnel associated with the SARS-COV-2 pandemic and pandemic threat.

Material and methods. The study included 133 medical professionals. A diagnostic survey was adopted as the method for the study using a self-administered questionnaire, the Depression, Anxiety and Stress Scale (DASS-21) and the Impact of Events Scale (IES-R). The data was collected online, using the Google Form application.

Results. The highest mean value in the evaluation of negative psychological states experienced while working under pandemic conditions was obtained in the stress category (M=7.8; SD±3.29), although only 8% of the respondents experienced it to a severe or extremely severe degree. When analyzing the severity of the study variables to a severe or extremely severe degree, anxiety was the most severe (15%). When it came to depression, 43% of medical professionals declared a moderate condition. 23% of respondents declared the presence of most of the symptoms characteristic of PTSD. The highest average value was obtained in the area of hyperarousal. The risk of developing symptoms of traumatic stress/posttraumatic stress disorder is not dependent on socio-demographic variables.

Conclusions. Within the examined areas concerning the occurrence of depressive, anxiety and stress disorders, stress was the most severe disorder. Personnel working periodically in direct contact with a COVID-19-infected patient were at the highest risk of developing PTSD in the future.
An Optimal Framework for the Effective Delivery of the Radiation to the target by Considering the Case of Head and Neck Cancer
Authors: Singh Pushpendra , Dewangan Naveen Kumar , Potdar Ravindra Manohar , Singh Seema , Mishra Alka , Mishra Santosh Kumar 
Published: October 2024

Abstract

Introduction: Delivering the required dose to the intended target while limiting the radiation’s impact on adjacent normal tissue is the principal goal of radiotherapy. One effective method for doing this is intensity-modulated radiotherapy, which operates on the idea of inverse planning. In order to transmit the fluence to the target efficiently while sparing the healthy cells, the objective of the research is to generate the ideal radiation dosage by first optimizing the fluence and then adjusting the trajectory of the leaf.

Materials and Methods: Fluence mapping is utilized in inverse planning to calculate each beam’s intensity level. Considering dose-volume limitations on the OARs, five evenly spaced beams expose the intended target for examination. The efficacy of the therapy regimens was measured using cumulative DVH. We have taken into account a number of PTVs and OARs acquired from the CORT dataset, which is accessible publicly for the benefit of researchers, to validate our approach.

Results: For the various target area and critical organs, we fixed the radiation levels at 82 Gy and 61 Gy across the PTV-70 and PTV-56, and similarly, the dose volumes of 52 Gy, 40 Gy, and 32 Gy across the Spinal Cord, Spinal Cord PRV, and Left and Right Parotid. Analysis of the data indicates that our approach generates the highest D95 dosage level possible across the target area for each PTV. Additionally, relative to other approaches employed in the literature, our approach’s duration for analysis (254.28 Seconds) is extremely low.

Conclusion: The suggested approach can produce global minima for IMRT planning with consistent quality across a range of treatment plans and effectively improve safety for substantial dual OARs.
Evaluation of the usefulness of small detectors made of Gafchromic EBT3 film for measurements in areas with high dose gradient and without charged-particle equilibrium (CPE)
Authors: Wołowiec Paweł , Kukołowicz Paweł Franciszek , Buliński Krzysztof 
Published: October 2024

Abstract

Introduction: In some clinical cases a full therapeutic dose needs to be delivered in the area close to the skin surface where a high dose gradient and there no charged-particle equilibrium (CPE) exists. The accuracy of dose distribution calculations performed in this region with the treatment planning system is limited. In this work we investigated the usefulness of small pieces of Gafchromic EBT3 film for measurements of the absolute dose value in the area close to the skin surface.

Material and methods: The Gafchromic EBT3 film detectors of size 1.0 cm x 1.5 cm were prepared. The film samples were calibrated in 6 MV photon beam (Elekta Versa HD). Calibration was performed in a dose range of 0 – 250 cGy. Films were scanned using the EPSON EXPRESSION 10000 XL flatbed scanner in 48-bit RGB mode, with a resolution of 72 dpi. ImageJ software was used to calculate the dose. Triple-channel film dosimetry was applied. The uncertainty of the dose measurement method was estimated. Film measurements were compared with the dose measurements using ionization chamber. The conformity of measurements was assessed using the metrological compliance test.

Results: The relative differences between dose measurements using Gafchromic EBT3 film detectors and ionization chamber for a single square photon beam were -0.8% and 0.3% for a depth of 0.5 cm and 5.0 cm (CPE) respectively. The values of the metrological compatibility test factor ζ were 0.3 and 0.1 respectively. The maximum relative differences for dynamic beams were 0.9% and −1.0% for a depth of 0.5 cm and 5.0 cm respectively. Metrological compatibility test showed also good agreement (ζ=0.3).

Conclusions: Small film detectors made of Gafchromic EBT3 film allow for the accurate dose measurements in the high dose gradient region and without CPE. They can be used to validate the calculation of the treatment planning systems also for VMAT techniques.