bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatiotemporal patterns and drivers of greenhouse gas fluxes in the sub-tropical wetland ecosystem of Indian Himalayan foothill
Authors: Raturi Asha , Singh Hukum , Kumar Parmanand , Chanda Abhra , Raturi Aasheesh 
Published: February 2023

Abstract
Sub-tropic Himalayan wetlands play a critical role in regional greenhouse gas (GHG) fluxes and budgets, consequently influencing climate change. Nevertheless, the magnitude, trends, and drivers regulating GHGs fluxes in the sub-tropic wetlands of the Indian Himalayan foothill remain uncertain. Herein, we characterized temporal and spatial GHGs fluxes (CO2, CH4, and N2O) between December 2020 and November 2021 to identify patterns and regulating drivers in the subtropical wetland of the Indian Himalayan foothill. The wetland was divided into five habitats (M1-sloppy surface at swamp forest; M2-plain surface at swamp forest; M3-swamp surface with small grasses; M4-marshy land with dense macrophytes and M5-marshy land with sparse macrophytes) for in-situ measurement of GHGs fluxes (CO2, CH4, and N2O), microclimate (air and soil temperature, soil moisture), soil properties (pH, EC, N, P, K, and SOC). Across the habitats, CO2, CH4, and N2O fluxes ranged between 125.15 to 536.00 mg m− 2 h− 1, 0.32 to 28.35 mg m− 2 h− 1 and 0.16 to 3.14 mg m− 2 h− 1, respectively. The habitats (M3 and M5) exhibited higher GHGs fluxes (CO2, CH4, and N2O) than counterpart habitats. The highest CO2 fluxes were reported in summer, followed by Spring, Autumn, and Winter. However, higher CH4 and N2O flux in summer, followed by Autumn, Spring, and Winter. The soil temperature and SOC were reported as crucial drivers regulating CO2 fluxes than soil moisture. However, soil temperature and moisture equally regulated CH4 and N2O fluxes across the habitats. N2O fluxes were regulated by soil phosphorus and EC across the habitats. The air temperature was a universal driver controlling all GHGs fluxes across the habitats. We urged that long-term GHG fluxes monitoring and identifying drivers across spatiotemporal scales are required to accurately predict GHGs fluxes and budget to understand the warming potential of GHGs in Indian Himalayan wetlands.
A systematic literature review on the internet of things applications used by people with autism spectrum disorder
Authors: ARBAOUI Fatima Ez Zahra EL , ELHARI Kaoutar , SAIDI Rajaa 
Published: February 2023

Abstract
In this paper, we provide a systematic literature review that explores the Internet of Things (IoT) application to support people affected by Autism Spectrum Disorder (ASD). This disorder represents several limitations to learning, interacting with others, and communicating. Research has shown the great potential of the IoT in providing approaches that target individuals with ASD and help them in learning and their daily activities. Several studies on the topic of IoT were reviewed. The main aim of this review is to recognize relevant studies about the use of IoT to support people affected by ASD, particularly children. In addition, a classification is presented to classify the existing papers.
Integrating computer vision and a strain sensor for human–machine interfaces with enhanced versatility and scalability
Authors: Park Sung-Min , Hong Sunguk , Rachim Vega Pradana , Baek Jin-Hyeok 
Published: February 2023

Abstract
Soft strain sensors play a major role in emerging human–machine interfaces. Most advanced soft strain sensors rely on nanotechnologies including microfabrication techniques. However, the low reproducibility of these sensors due to their highly specialized fabrication techniques, as well as their vulnerability to environmental noise and short lifetime are remaining challenges to limit their application under real-world conditions. Here, we propose a novel approach of integrating computer vision with streamlined microfabrication techniques to solve the aforementioned problems, which may be challenging to resolve using only nanotechnology. We developed a computer vision-based optical strain (CVOS) sensor system comprising an easily fabricated soft silicone substrate with micro-markers and a tiny camera as a highly sensitive marker detector. We then embedded an artificial intelligence (AI) model with an automated response correction algorithm for tracking markers and detecting the sensor state. The findings in this study confirmed that proposed CVOS sensor is a promising approach that facilitates the development of highly sensitive and versatile human–machine interfaces for long-term operation under real-world conditions.
Modeling of pyrolysis reactions of polypropylene using a six-lump model and simulation of pyrolysis process using Aspen
Authors: Pluemprasit Panyawut , Porpruksa Adisak , Pusansaard Worrapas , Wongthai Kittitud , Tongpadungrod Pensiri , Suttikul Thitiporn , Phalakornkule Chantaraporn 
Published: February 2023

Abstract
In the post-COVID-19 era, the demand for polypropylene (PP) has been growing for uses for medical and food packaging applications, resulting in the generation of a huge amount of plastic waste and its accumulation in the environment. This project aimed to develop a mathematical model that has predictive power for the pyrolysis process of PP. To overcome the limitations of existing kinetic data, we developed a six-lump model consisting of plastic molecules, melted plastics, heavy fuel oil, light fuel oil, non-condensable gas, and char to describe the pyrolysis of PP. The six-lump model consisted of ten monomolecular, irreversible, first-order reactions. The initial values of the Arrhenius constants and activation energies of the reactions were set based on the kinetic constants from the literature. Then, the kinetic parameters were calibrated with an experimental dataset of the pyrolysis of PP to give a <10% difference between the compositions of the major products from the simulation results and the experimental data. The model was used to predict an optimum temperature for the production of pyrolysis oil, mass balances, carbon conversion, and energy efficiency of an industrial-scale integrated pyrolysis-condensation-combustion process using Aspen Plus. The proportion of pyrolysis oil reached the highest value at 460 °C. At this condition, the proportions of pyrolysis oil, char, and gas were 59.17%, 13.18%, and 27.65%, respectively, with carbon conversion and energy efficiency of 87.30%, and 87.56%, respectively. The simulation results predicted a higher yield of gasoline (0.3595 kg/kg of PP) than heavy diesel (0.2675 kg/kg of PP).
TM-Plane Wave Scattering from a Trapezoidal Cavity
Authors: Bozorgi Mehdi 
Published: February 2023

Abstract
The behavior of TM-plane wave scattering from an isosceles trapezoidal cavity in a perfect electric conductor (PEC) is investigated. The complex function method and region-matching technique are employed to obtain a rigorous solution for this problem. The analyzed region is divided into three sub-regions by a suitable subdividing manner. The tangential fields in each sub-region are expanded by appropriate wave functions which satisfy the Helmholtz equation and boundary conditions, simultaneously. By using multi-polar coordinate transformation and Fourier series expansion technique in complex domain, four algebraic equations are constructed and solved for the unknown coefficients of the series. Some comparisons are taken to verify the validity of the procedure used in this study. Also, some typical examples are given to investigate the effect of the trapezoidal cavity parameters on scattering patterns.
Investigation on the Linear Viscoelastic Response of Emulsified Cold Recycled Mixtures
Authors: Behera Atanu , Krishnan Murali , Thushara V.T. 
Published: February 2023

Abstract
The mechanical behaviour of emulsified cold recycled mixtures (ECRM) is intricate due to the influence of the response of individual constituents and the proportion of constituents. The objective of the current study is to investigate the viscoelastic response of two ECRM mixtures prepared using two different production processes. The first one is a conventional ECRM with 100 % reclaimed asphalt pavement (RAP) material, and the second one is a modified ECRM with 75 % RAP and an attempt is made to activate the RAP material. Mechanical properties are investigated based on repeated haversine compression tests over a wide range of temperatures and frequencies in confined and unconfined conditions. In order to generate the master curve, the reference temperature is identified using the characteristic relaxation time assuming Arrhenius relation to hold. The generalised Sigmoidal and Huet-Sayegh models are used to construct the master curve. The dynamic modulus master curve shows an increase in the stiffness of the material due to confinement pressure at lower reduced frequencies. Further, the continuous relaxation spectra (CRS) are generated from the master curve data, and the shape characteristics are studied. The distinct response between the mixtures can be seen in terms of the peak of the spectra at lower relaxation times. It is seen that the skewed logistic distribution is able to capture the relaxation behaviour of both mixtures.
Neural Mechanism Facilitating PM2.5-Related Cardiac Arrhythmias Through Cardiovascular Autonomic and Calcium Dysregulation in a Rat Model
Authors: Tsai Tsung-Ying , Lo Li-Wei , Lin Wei-Lun , Chou Yu-Hui , Cheng Wen-Han , Liu Shin-Hui , Yang Cheryl C.H. , Kuo Terry B.J. , Chen Shih-Ann 
Published: February 2023

Abstract
Background
Particulate matter<2.5μm (PM2.5) exposure is associated with increased arrhythmia events and cardiovascular mortality, but the detailed mechanism remained elusive. In the current study, we aimed to investigate autonomic alterations in rats after acute exposure to PM2.5.
Methods
Twelve male WKY rats were randomized to control and PM2.5 groups. All were treated with 2 exposures of oropharyngeal aerosol inhalations (1μg PM2.5 per gram of body weight in 100uL normal saline for PM2.5 group) separately by 7 days. Polysomnography and electrocardiography were performed. Physiologic monitors were used to define active waking (AW), quiet, and paradoxical sleep (QS, PS). Autonomic regulations were measured by heart rate variability (HRV). The protein expression of ventricular tissue of the 2 groups were compared at the end of the experiment.
Results
In sleep pattern analysis, QS interruption of the PM2.5 group was significantly higher than the control group (0.52± 0.04events/min, 0.33± 0.04events/min, p=0.024). In HRV analysis, the LF/HF was significantly higher for the PM2.5 group than the control group (0.66± 0.13, 1.16± 0.05, p=0.009), largely driven by LF/HF increase during the QS phase. Ionic channel protein expression from Western blots showed that the PM2.5 group had significantly lower L-type calcium channel, and higher SERCA2 and rectifier potassium channel expressions than the control group, respectively.
Conclusion
Our results showed that PM2.5 exposure leads to interruption of QS, sympathetic activation, and recruitment of compensatory calcium handling proteins. The autonomic and calcium dysregulations developed after PM 2.5 exposure may explain the risk of sleep disturbance and sleep-related arrhythmia.
Potential Risk Assessment of Ionic Liquids Based on Molecular Dynamics Simulation
Authors: Zhuang Wenchang , Zhu Wenyou 
Published: February 2023

Abstract
A liquid composed of ions at or near room temperature is an ionic liquid. In recent years, ionic liquids have attracted extensive attention in academic research and industrial applications. In this paper, the toxicity of ionic liquid was analyzed qualitatively, and the effects of main chain groups and the characteristics of anions and cations on the toxicity of ionic liquids were studied. The factors affecting the toxicity of actual ionic liquids have been proved to be auxiliary groups/cationic groups by a large number of experiments. The system research through molecular dynamics simulation shows that after the addition of ionic liquid, the PVDF matrix will gradually form a non-uniform polymer region. During this process, the hydrogen bonds of the PVDF matrix will be destroyed. The greater the degree, the faster the movement. In this paper, a risk assessment system for ionic solutions was established, and the mechanism of action of different types of ionic liquids on cellulose was obtained through extensive molecular dynamics simulations. In addition, the effect mechanism of cationic saturation on cellulose dissolution in ionic liquid was analyzed qualitatively. The model is proved to be effective through simulation experiments, and can predict the dissolution mechanism and toxicity of imidazolium-based ionic liquids, thus providing data reference for the synthesis and design of green non-toxic ionic liquids. The research designed in this work will provide data support for the development of green new ionic liquids. In this paper, an effective risk assessment mechanism is constructed by combining molecular dynamics simulations to study ionic liquids.
Simulation evaluation of virtual reality in interior design effect display and practice mode innovation
Authors: Guo Lichun 
Published: February 2023

Abstract
With the continuous improvement and promotion of new technologies in the information age, virtual reality technology has been widely used. Virtual interaction technology has also begun to penetrate into the application market. At present, virtual reality technology has been widely recognized in the field of interior design, which can be used for target display based on virtual exhibition halls, so it is sought after by many users. This form is different from the previous rigid scene reproduction methods such as images and videos. Customers do not have to be in the actual scene, as long as they can run and watch through the network, and get a sense of reality. This paper develops a kind of virtual interior design system based on VR technology, and divides it into two categories, one is virtual reality based on software technology, the other is virtual reality based on virtual hardware technology. The technical principle is based on the following four steps: preprocessing, model transformation, image fusion and registration, which are tested by simulation experiments. The algorithm proposed in this paper can determine whether the Cu is continuously divided in advance, so as to improve coding efficiency, accelerate the effect display of interior design, and improve customer experience. The intended task of the system design is to bring immersive experience to the target users, so that they can get the most real perception at any time and anywhere. This paper introduces the virtual reality technology into the interior design to carry out the system application analysis and effect display.
A fast retrieval method of drug information based on multidimensional data analysis
Authors: Yu Chenggong 
Published: February 2023

Abstract
The medical industry is constantly improving its own structure with the development of society. However, most of the current drug management systems cannot meet the needs of actual drug management. There are many problems such as incomplete system functions, confusion of drug management, unclear division of modules, loss and waste of human resources. At present, there is an urgent need for a new and perfect hospital drug information management system to meet the drug needs of the hospital. Drug management is an indispensable part of the hospital management system. In this context, this paper completes the design of the target drug rapid retrieval system, which is realized through multi-dimensional data analysis technology, and tests the multi-dimensional data analysis algorithm model used in the system. It can be seen that as the number of wrong words in drug names increases, the accuracy of fuzzy matching also decreases. Compared with the traditional algorithm, the improved multi-dimensional data analysis algorithm greatly improves the accuracy. The system can be roughly divided into three layers: application layer, data layer and business logic layer. The design and improvement of the system can effectively improve the drug processing efficiency of existing pharmacies through the design and simulation experiments, enable the pharmacy department to better cooperate with other departments to work, make the cooperation between different departments more effective, and solve the work efficiency problems of the hospital. By introducing multidimensional data analysis technology into the field of drug information retrieval, this paper designs an effective and fast retrieval method.
A Method for Evaluating and Optimizing the XBRL Taxonomy Structure to Improve Business Reporting Criteria
Authors: Behzadi Fahime , Yaghoobirafi kamaleddin , Nazemi Eslam 
Published: February 2023

Abstract
The advent of Information Technology (IT) and its development have made some changes in businesses. While enterprises and their systems and IT infrastructures are getting more complicated and also the number of standards and approaches in this scope are rising in interoperability in different layers of information technology in the enterprises. This challenge, especially in the field of semantic interactivity, causes inconsistencies and contradictions in semantic interactions that require the use of automatic approaches at the time of execution. A common approach that has been used in the direction of semantic interoperability is to define standards or taxonomies for a specific field and oblige institutions to follow mentioned standards in information exchange. Extensible Business Reporting Language (XBRL) has been widely implemented by various institutions in recent years in order to improve semantic interactivity. XBRL is developed to define notions and standard taxonomies related to particular applications. Presenting a unified and proper quality report to variant users whether natural or legal is expected to be among the most important results of XBRL. In fact, the quality of the report is the main and ultimate goal of using XBRL. Because the better the quality of the report, the better the semantic interactivity among different people and enterprises. In this paper, the impact of the XBRL taxonomy architecture on the quality of financial reports is investigated. Initially, the taxonomy is categorized into four structures including content structure, syntactic and semantic structure, physical and logical structure, and rules mechanism. Then, according to the metrics of cohesion, coupling, the richness of the label and language type, the average dimensions, the number of tuple structures, and explicitness, some changes have been proposed. For the purpose of evaluation, the proposed changes are made to the taxonomy of the Securities and Exchange Organization of Iran, and then the amount of each metric is calculated before and after applying the changes using the provided formulas. The simulation results show an improvement in the taxonomy architecture. Afterward, reports are taken from the taxonomy before and after applying the changes, and their quality is examined based on three qualitative metrics including transparency, information symmetry, and comparability using a questionnaire and statistical analysis the results show that after applying the changes to the taxonomy architecture a tangible improvement has been achieved.
Project engineering management evaluation based on GABP neural network and artificial intelligence
Authors: Yu Lai 
Published: February 2023

Abstract
As an important research method in the field of modern machine learning engineering technology, BP neural network has gradually developed into the most widely used and now the most widely used in the industry with its powerful non-linear feature function mapping computing capabilities, good data induction and feature recognition computing capabilities. This paper closely links the actual activities of project engineering technology management with modern machine learning network technology, and proposes a new type of engineering management activity model based on machine-integrated GABP neural network. This article briefly introduces the valuation theory based on basic knowledge points such as artificial intelligence technology, neural network theory, and genetic algorithm. It does a detailed analysis and research on the valuation models of commonly used neural networks in China, and points out the defects and defects of the neural network structure itself. Good generalization ability, in order to minimize the impact of subjective factors on the valuation results. Although there are many management software specializing in construction project engineering currently on the market, the service scope and demand range of these management software specializing in construction project engineering are relatively narrow. For example, construction project management software can only be used Manage a construction project. In the actual operation process, it is also found that unreasonable time arrangements often occur in various links such as personnel scheduling and material distribution of engineering projects, resulting in a waste of manpower and resources. In response to the urgent requirements of government departments for efficient management of a large number of engineering project resources, the paper develops a universal project engineering management system based on GABP neural network and artificial intelligence technology.
Cloud Service and Interactive IoT System Application in the Service Management Mode of Logistics Enterprises
Authors: Zheng Wei 
Published: February 2023

Abstract
In order to standardize the functions of the Internet of Things interactive system, such as cost constraints, probability, and speed, the basic principle is to expand the ability to express data flow or cost behavior, and to build logic to describe the nature of the Internet of Things. Interactive Internet of Things-cost probability time data flow logic PPTDL, in order to integrate the MODEST automatic verification tool, this paper studies the mechanism of converting the PPTCA reaction model into an action program with a random time automaton, which theoretically supports the tool use. This paper studies the theory and technology of enterprise logistics service management, introduces the B/S system structure, the database technology used, and the current research status at home and abroad. When analyzing program requirements, first use dynamic and static functional models to explain system business requirements and distinguish systems. The general design and detailed design of the system are carried out, and the functional structure of the system is established. The system performs user management module, company information management, customer service, transaction order and report management, user management module, user connection and registration, employee personal information management, order management, and other functions of the customer service module. In addition, users and developers conduct transactions by accessing the cloud computing service platform created by operators, and there are factors that promote each other between users and developers. Sending and completing service functions, the transaction control module performs order management, order comparison management and other functions, and the report management module performs the reporting function of customer information and user information reports.