bluuebunny/crossref_metadata_2025_split huggingface dataset:
Technological Standards for Interoperable Toll Collection: A Framework for Seamless Integration
Authors: Lembhe Pankaj 
Published: April 2024

Purpose: This research paper aims to propose a framework for seamless integration of technological standards in toll collection systems, with the goal of achieving interoperability. The framework will consider likely developments and enhancements in tolling practices, as well as potential tie-ins to other Intelligent Transportation Systems deployments.
Methodology: The proposed framework will also explore the potential benefits of real-time travel information and responsive pricing in toll collection systems. The recommended framework will facilitate the implementation of interoperable toll collection systems by incorporating technological standards.
Findings: The framework developed in this paper will allow planning agencies to assess the benefits of real-time travel information and responsive pricing in publicly operated toll roads. By comparing the value of these policy options or contract terms, the framework will assist in identifying the optimal tolls for different scenarios. The framework will also explore the integration of vehicle identification/registration systems with tolling functions and other transportation system management functions.
Unique contributor to theory, policy and practice: The framework developed in this paper will enable seamless integration of technological standards in toll collection systems, promoting interoperability.
Filling the Gap: Factors Influencing Individuals with No School-based Agricultural Education Background to Enter the Profession
Authors: Offerman Jenna , Maxwell Lucas , Solomonson Jay , Barrowclough Michael 
Published: April 2024

Teacher recruitment and retention in the United States has been deemed an issue across all disciplines and grade-levels. School-based agricultural education (SBAE) is no exception to this issue, where for decades a national shortage of qualified agriculture teachers has persisted. According to the 2021 [STATE] Agriculture Education Annual Report, there were 84 open SBAE teaching positions in 2020 with only 36 graduates from university agricultural education teacher preparation programs. This lack of qualified teachers has forced many [STATE] SBAE programs to either hire provisional teachers or shut down completely. The purpose of our qualitative study was to examine factors that influenced current SBAE teachers with no SBAE background to major in and pursue a career in the agricultural education profession. Using a phenomenological approach, semi-structured interviews were conducted with current SBAE teachers that never participated in a SBAE program. Open coding was used to reveal themes based on the research objectives and interview questions. Common themes revealed influences including possessing an agricultural background, taking agriculture coursework in college, growing up in a family of teachers, and having the career suggested to them. Findings from this research will be useful in developing agriculture teacher recruitment and retention plans with the goal of narrowing the employment gap that has developed from the shortage of qualified SBAE teachers.
CO anthropogenic emissions in Europe from 2011 to 2021: insights from Measurement of Pollution in the Troposphere (MOPITT) satellite data
Authors: Fortems-Cheiney Audrey , Broquet Gregoire , Potier Elise , Plauchu Robin , Berchet Antoine , Pison Isabelle , Denier van der Gon Hugo , Dellaert Stijn 
Published: April 2024

Abstract. ​​​​​​​We have used the variational inversion drivers of the recent Community Inversion Framework (CIF), coupled to a European configuration of the CHIMERE regional chemistry transport model and its adjoint to derive carbon monoxide (CO) emissions from Measurement of Pollution in the Troposphere (MOPITT) TIR-NIR (thermal-infrared near-infrared) observations, for a period of over 10 years from 2011 to 2021. The analysis of the inversion results reveals the challenges associated with the inversion of CO emissions at the regional scale over Europe. Annual budgets of national emissions have decreased by about 1 %–11 % over the decade and across Europe. These decreases are mainly due to negative corrections during autumn and winter. The posterior CO emissions follow a decreasing trend over the European Union and United Kingdom area of about −2.2 % yr−1, slightly lower than in the prior emissions. The assimilation of the MOPITT observation in the inversions indeed attenuates the decreasing trend of the CO emissions in the TNO inventory over areas benefiting from the highest number of MOPITT super-observations (particularly over Italy and over the Balkans), and particularly in autumn and winter. The small corrections of the CO emissions at national scales by the inversion can be attributed, first, to the general consistency between the TNO-GHGco-v3 inventory and the satellite data. Analysis of specific patterns such as the impact of the Covid-19 crisis reveals that it can also be seen as a lack of observation constraints to adjust the prior estimate of the emissions. The large errors associated with the observations in our inversion framework and the lack of data over large parts of Europe are sources of limitation on the observational constraint. Emission hotspots generate a relatively strong local signal, which is much better caught and exploited by the inversions than the larger-scale signals, despite the moderate spatial resolution of the MOPITT data. This is why the corrections of these hotspot emissions are stronger and more convincing than the corrections of the national- and continental-scale emissions. Accurate monitoring of the CO national anthropogenic emissions may thus require modelling and inversion systems at spatial resolutions finer than those used here as well as satellite images at high spatial resolution. The CO data of the TROPOMI instrument on board the Sentinel-5P mission should be well suited for such a perspective.
Flood monitoring system in the Dakar agglomeration (Senegal)
Authors: Diémé Laurent Pascal , Bouvier Christophe , Bodian Ansoumana , Sidibé Alpha 
Published: April 2024

Abstract. In recent decades, African cities have been confronted with series of floods linked to rapid urbanisation, intensification of heavy rains and the failure of the storm drainage system. Developing tools to characterise floods and reduce their impact is essential to facilitate decision support in a complex and vulnerable context. This study, conducted in the urban periphery of the Dakar metropolitan area, aims to propose a fine resolution (5 m) model of flows and overflows of rainwater drainage network in a pilot area. Two methodological steps are combined to achieve this objective: (1) the construction of the urban drainage topology to reconstitute the water drainage directions, taking into account the buildings, artificial channels and retention basins, using algorithms developed for this purpose, (2) simulations of the flows in real time or in project mode, using a parsimonious spatial model adapted to the local context, coupling a hydrological model (SCS-LR) on the scale of small basins with a hydraulic model (kinematic wave) for the propagation through the hydrological network. The former ensures the speed of the calculation, and the latter provides precise information on the behaviour of the network during a rainfall event. The overflow points of the network are detected by the difference between the maximum flow and the capacity of the network to evacuate floods. This modelling provides sufficiently informative simulations to guide the deployment of emergency services in the field, in real time, or to evaluate the efficiency of infrastructures in project mode, in a context of limited data. The model also provides boundary conditions for applying more complex hydraulic models to determine the impact of overtopping on limited areas.
Medición del estrés prequirúrgico en niños y preadolescentes que ingresan para cirugías de urgencia en el Hospital de Niños Sor María Ludovica de la Plata: estudio descriptivo
Authors: De Simone María F. , Mancuso Noelia M. , Jesica A. Jesica A. , Sambueza Alicia V. , Franco Juan V. A. , Esteban Santiago 
Published: April 2024

Introducción: como profesionales de la salud hemos observado distintas conductas en los pacientes pediátricos, sin psicoprofilaxis, que ingresan para ser intervenidos quirúrgicamente de urgencia; pacientes que, según su edad, su entorno social, familiar y cultural, podrán manifestar dichas conductas interpretadas como estrés, de distintas maneras.
Objetivo: se midió el estrés prequirúrgico de los niños que fueron intervenidos quirúrgicamente de urgencia, los sábados y domingos por Guardia, en el Hospital de Niños Sor María Ludovica en la ciudad de La Plata.
Materiales y métodos: hemos realizado un estudio piloto de diseño observacional, descriptivo, de corte transversal, aplicando para la recolección de datos la escala de YALE modificada (EAPY-m).
Resultados: reclutamos 16 pacientes, de los cuales 10 fueron varones (62,50%), que ingresaron para ser tratados quirúrgicamente por las espe- cialidades de traumatología y cirugía general en partes iguales. La mediana en edad fue de 7 años y la mediana en escolarización obligatoria de 6 años. Dentro de la muestra obtenida, un 56,25% concurrían a la escuela primaria y el 25% se encontraban en la etapa preescolar. La mitad de los niños tomaron como referente a su madre como la persona que lo calma y que les gustaría que estuviese presente en el momento previo a la cirugía. La conjunción de los resultados obtenidos ha superado los valores referenciales mínimos para la medición del estrés prequirúrgico: un 80% de los niños sufría de estrés prequirúrgico.
Conclusiones: el estrés prequirúrgico es un hecho presente en los pacientes pediátricos que han sido incluidos en la realización del estudio, que- dando en evidencia que la cirugía es un factor estresante para los niños.
Research on the Actual Sentence Partition and Translation of Chinese Cultural Landscape Discourses Based on Natural Language Processing Technology
Authors: Xu Jun 
Published: April 2024

In recent years, ChatGPT has been extensively applied across various fields, with translation being one of them. The objective of this study is to investigate the influence of Natural Language Processing (NLP) technology on the translation process. The research method involved utilizing the concept of Actual Sentence Partition (ASP) within the framework of Function Sentence Perspective (FSP). ASP, introduced by V. Mathesius, the founder of the Prague School, divides sentences into the point of departure and the nucleus of an utterance, providing insights into their communicative and semantic characteristics. Conversely, Formal Sentence Division (FSD) solely focuses on marking grammatical elements without identifying the correct ASP, resulting in ambiguity and inaccuracy. In Chinese discourse, incomplete sentences are commonly observed, including the omission of known information and the use of multiple clauses. Consequently, when translating from Chinese to English, it is crucial to appropriately visualize the hidden information in Chinese and analyze Chinese discourse using ASP to reconstruct its equivalent in English. The findings of this study emphasize the significance of ASP in translation. By understanding the ASP, translators can better comprehend the intention and meaning behind Chinese discourse, ensuring a more accurate and faithful representation in English. Therefore, the application of ASP in translation serves as a valuable tool for bridging the linguistic and cultural gaps between languages. In conclusion, ASP, as a pivotal concept in FSP, offers a comprehensive framework for understanding and translating complex sentence structures in Chinese discourse. By utilizing ASP, translators can capture the communicative and semantic nuances of Chinese sentences, leading to more accurate and effective translation outcomes..
Influence Factors of Digital Economy on the Willingness of Equipment Manufacturing Industry to Green Production in the Era of Artificial Intelligence
Authors: Meng Shang  
Published: April 2024

In the age of artificial intelligence, the digital economy significantly promotes green production in manufacturing. It optimizes processes, recycles resources, drives green tech innovation, and boosts product sustainability. While there's ampleresearch on green manufacturing, studies linking it to the digital economy are limited. Given the machinery manufacturing sector's strategic importance and China's focus on green, sustainable manufacturing, this study bridges that gap. Using the Theory of Planned Behavior (TPB) and Normative Activation Model (NAM), it examines how the digital economy influences green production intentions in equipment manufacturing. The study surveys Middle Eastern equipment manufacturers, analyzes the data with SmartPLS, and finds that the digital economy positively impacts green production via personal norms, responsibility, consequence awareness, attitudes, and cost savings. These factors mediate the relationship between the digital economy and green production intentions. The paper concludes with practical recommendations based on these findings. In the era of artificial intelligence, how the digital economy provides a new path to the green production of the manufacturing industry, and provides a theoretical reference for the sustainable development of the equipment manufacturing industry.
Measurement and Countermeasures for College Students’ Emotions and Attitudes Post-popular Feelings Events: An Analysis Based on Smart PLS Model Data
Authors: Dong Guo Jing Wang, 
Published: April 2024

To accurately gauge the emotional and attitudinal responses of college students post-popular feelings events, and to formulate scientifically sound strategies for managing public sentiment effectively and forestalling secondary quandaries, a pioneering big data simulation approach is introduced. This method, utilizing big data collection and processing techniques, entails the random sampling of a substantial number of college students to gather evaluative data on their emotional and attitudinal shifts before and after popular feelings events, as well as the efficacy of countermeasures. Subsequent to this, the amassed data undergoes meticulous fitting analysis via the Smart PLS 4.0 software. Noteworthy among the impact coefficients are negative emotions (r=0.146), negative attitudes (r=0.132), and the pivotal role of student opinion leaders (Loading=0.921). The standardized root mean square residual (SRMR) of 0.049 underscores the confirmatory model’s relevance. Results underscore the need for countermeasures to place a significant emphasis on mitigating negative emotions among college students. Selection of student opinion leaders and the establishment of rumor-refutation teams emerge as vital components of these response initiatives.
Development of Improved Weighed Quantum Lion Optimization with Smooth Support Vector Machine for Alzheimer’s Disease
Authors: Raveendra Reddy Enumula  
Published: April 2024

Accurate diagnosis of Alzheimer's disease (AD) and Mild Cognitive Impairment (MCI) was identified on an early stage is essential in the healthcare industry to stop degeneration. The Smooth Support Vector Machine (SSVM) model, Principal Component Analysis (PCA), feature extraction, and Magnetic Resonance Imaging (MRI) image prepossessing are the components for the diagnosis of AD is proposed in this research at early stage. To assist in the classifier's training, we proposed a novel Improved Weighed Quantum Lion Optimization (IWQLO). The SSVM parameters are specifically proposed to be optimized using a new Switching delayed Lion Optimization (SLO) algorithm. The IWQLO-SSVM approach was effectively used to classify AD and MCI utilizing MRI scans of the Alzheimer's disease Neuroimaging Initiative (ADNI) database and Outcome and Assessment Information Set (OASIS) database. For six example scenarios, the classification accuracy of our proposed method is acceptable. Testing show that the proposed approach improves the performance measures such as accuracy, precision, specificity, sensitivity and recall for detecting the early stage AD diagnosis.
Design of a Novel Converter Topology for Micro Grid Applications
Authors: Devulal.B  
Published: April 2024

The Renewable Energy Sources (RES) are the primary source of energy because of reduction in fossil fuels day to day. The primary resource in all available non-conventional energy sources is solar energy. Solar energy is obtained normally from Photo Voltaic (PV) cells. In PV cells a photo diode is used which converts the sun irradiation into DC voltage, which is normally a low value, so this is not sufficient to run the electrical loads which are connected to the micro grids. To avoid this problem, a novel boost converter is needed to improve the voltage profile, but it has a problem of high ripple content in voltage profile, which is not preferable for giving as I/P to the Inverter. Normally inverter will take constant DC as an I/p and convert into Alternating Current (AC) voltage. To avoid the above-described ripple, a novel hybrid Pulse Width Modulation (PWM) based DC -DC converter is presented in this paper along with a SPWM inverter circuit which finds its applications in micro grids. The distinctive topologies of 13 and 21 level inverter have been analyzed with reduced number of switches. In traditional topologies a greater number of switches are required, and it can be decreased by planning the diverse topologies. The current distinctive topology is described and compared with the conventional configurations and the corresponding results are presented. With this, it can be observed that the proposed topology gives the better outcomes. This can be utilized as a part of various micro grid inverter applications.
Intermittent Operations of District Heating Networks in Summer Months
Authors: Vannahme Anna , Müller Simon , Schmitt David , Summ Thorsten , Trinkl Christoph , Schrag Tobias 
Published: April 2024

In the OREWA project, optimization measures for existing heat networks were identified and assessed based on both economic and ecological considerations [1]. One of the focal investigations was the simulation of intermittent operational strategies tailored for the summer months. Next to the classic intermittent approach an innovative variation was explored, which involved the storage of hot water during intermediate phases in large central tanks to further minimize heat losses. Both the classic and innovative intermittent strategies showcased substantial reductions in network losses and energy consumption for circulation pumps. This research shows the melioration of heat network efficiency through a substantial reduction of summer heat losses for a network with a low heat demand density of 0.7 MWh/(m²·a).
Relationship between Socio-economic Characteristics and Husband Support with Inclusive Antenatal Care (ANC) at South Denpasar Health Centre III
Authors: Dewi Mira Kristiani , Widarini  , Karmaya I Nyoman Mangku 
Published: April 2024

Background and purpose: Maternal mortality is one of indicators within the millennium development goals. In Indonesia, the first point of entry for maternal health care is through midwives working from health centres. Comprehensive antenatal care is extremely important in order to ensure a healthy and natural pregnancy. This study explored the relationship between socio-economic characteristics and the support of husband with inclusive antenatal care in South Denpasar III Community Health Centre.
Methods: This study was cross-sectional using a quantitative approach among sixty nine espondents whom were selected using simple random sampling. Data was collected guided questionnaires and secondary data was obtained through clinic records. Data was processed using univariate, bivariate (chi-squared test) and multivariate (logistic regression) analysis.
Results: Results indicated that there is a relationship between knowledge (p=0.045), attitude (p=0.039), education (p=0.007), income (p=0.013) and husband support (p=0.011) with the regularity of antenatal care access by expectant mothers. Whereas age, parity and occupation were not influential factors.
Conclusion: Husband support plays the most dominant role in influencing the inclusivity of maternal antenatal care.
Needs for sexual and reproductive health education for students with hearing impairment in Buleleng District, Bali Province
Authors: Ariantini Nyoman Sri , Kurniati Desak Putu Yuli , Duarsa Dyah Pradnyaparamita 
Published: April 2024

Background and purpose: Adolescents with hearing impairment face a number of exclusion due to their limitation, including lack of access to information on reproductive health. This study aims to explore needs for sexual and reproductive health education for students with hearing impairment at Singaraja.
Methods: A qualitative study was conducted at Buleleng District. Data were collected through in-depth interviews to 19 informants. Informants were purposively selected based on their specific roles. Our informants included students with hearing impairment, head of school, teachers and parents or carers. Data were analysed using a thematic approach.
Results: The majority of students with hearing impairment had low level of knowledge associated to sexual and reproductive health. However, sexual and reproductive health practices between adolescents with and without hearing impairment were generally comparable. Needs for sexual and reproductive health education must cover several elements: (1) education material must be tailored based on age, (2) learning methods should be tailored based on their intellectual ability, and (3) learning methods must use contextual and real model approach to allow better transfer of information. Teachers faced difficulty to provide sexual and reproductive health education for students with hearing impairment even though some modules are already available.
Conclusions: The provision of sexual and reproductive health education for students with hearing impairment requires tailored material, simple and attractive learning methods, and visual media. Further analysis of the existing reproductive health education curricula for students with hearing impairment is required in order to ensure fulfilment of reproductive rights of adolescent with special needs.
Access to Health Service Related to Use of Antenatal Care Facilities at the Kawangu Health Centre, East Sumba
Authors: Adriana Nara , Wulandari Luh Putu Lila , Duarsa Dyah Pradnyaparamita 
Published: April 2024

Background and purpose: The study aims to determine factors influencing the utilization of accredited government-run ANC facilities at the Kawangu Health Centre.
Methods: Research was a cross-sectional study, with a total of 85 samples taken by consecutive sampling from the Kawangu Health Centre. The dependent variable was the use government-run ANC facility at the Kawangu Health Centre. The independent variables were knowledge, awareness, attitudes, access to health services, frequency of receiving information and family support. The data were collected by interview using questionnaires. The data analysis includes univariate, bivariate (chi-square) and multivariate analysis with logistic regression.
Results: The results of the study indicated that there was a significant relationship between the use of accredited government-run ANC facilities with maternal knowledge/awareness (p=0.001), attitude (p<0.001), ability to access to health services (p<0.001), frequency of information (p=0.039), and family support (p<0.001). Multivariate analysis indicated that the only significant independent variable related to the use of adequate delivery was the ability to access health services with OR =11.68 (95%CI: 1.37 to 99.89).
Conclusion: An inability to access either due to distance to travel, lack of vehicle and/or infrastructure concerns such as poor quality/lack of roads was the dominant variable in the utilization of accredited government-run ANC facility.