bluuebunny/crossref_metadata_2025 huggingface dataset:
Development of a Hierarchical Rate-All-That-Apply (HRATA) methodology for the aromatic characterisation of wine
Authors: Koenig Léa , Symoneaux Ronan , Pouzalgues Nathalie , Cariou Véronique , Vigneau Evelyne , Coulon-Leroy Cécile
Published: February 2023

Wine aromatic characterisation is generally a complex task, even for well-trained assessors. To facilitate such characterisation, aroma terms are typically arranged in some sort of hierarchical structure, such as aroma wheels. However, information about this structure is lost with existing data acquisition and treatment methods. To fill this gap, we propose a new approach, Hierarchical-Rate-All-That-Apply (HRATA), for the characterisation of products. It combines the Rate-All-That-Apply (RATA) methodology with a hierarchical structuring of general and specific attributes. The aim is first to facilitate data acquisition and, secondly, to account for the hierarchical links among attributes during data analysis. We applied an HRATA approach to the characterisation of five rosé wines by 66 subjects based on 118 hierarchically structured aromatic attributes. Using monadic evaluation, assessors were asked to select all the attributes that characterised each wine and to rate their intensity on a three-point scale. For the data analysis, an initial coding step was carried out to represent the hierarchical structure of the attributes, which also made it possible to manage a large amount of non-evaluated data. After that, statistical tests and multivariate analyses were tailored for both the identification of discriminating attributes and the determination of a product map. Finally, the characterisation obtained with HRATA was compared to the results obtained from a descriptive analysis (DA) conducted by a trained panel. HRATA represents an interesting alternative for obtaining aromatic characterisation using a panel of subjects without collective common training or with diverse skill sets.
Gagasan Periodisasi Masa Jabatan Anggota Dewan Perwakilan Rakyat Dan Dewan Perwakilan Daerah Dalam Perspektif Demokrasi Konstitusional
Authors: Aqdamana Tsabbit
Published: February 2023

There are no rules for the periodization of the terms of office for House of Representatives (DPR) and Regional Representatives Council (DPD) members both in the constitution and relevant laws which leads to the vacuum of law, the issue of the absence of periodization of terms of office for the DPR and DPD is crucial as seen from the history of authoritarianism during the New Order period, there was an abuse of power. In many cases, people who have been in power for a long time often abuse their power. The formulation of the problems in this study are: first, what is the urgency of the periodization of the term of office of members of the DPR and DPRD of the Republic of Indonesia in the perspective of constitutional democracy? Second, how is the idea of a periodization of the term of office of the members of the DPR and the DPD of the Republic of Indonesia in the perspective of constitutional democracy? This study uses normative legal research methods and uses two approaches, namely statutory and conceptual approaches, the data sources used are primary legal materials in the form of laws and regulations, secondary legal materials in the form of literature, books and journal articles, legal materials are analyzed descriptively qualitatively. The results of this study conclude, the idea of periodizing the term of office of DPR and DPD members based on a constitutional democracy perspective, requires revision of the addition of paragraphs to Articles 76 and 252 of the MD3 Law, relating to the affirmation of how many years in office are considered one period, both in the DPR and DPD and also need to be revised Article 76 paragraph (4), and Article 252 paragraph (5) of the MD3 Law, relates to the idea of periodizing the term of office for only two terms and the most relevant institution is given the authority to assess whether candidates for council members have had two terms or not, the General Election Commission (KPU).
State Islamic School: Institutional Transformation of Islamic Religious Education at SMP Negeri 3 Dempet in Demak Regency
Authors: Kuswanto Edi , Hariyadi Rahmat , Sutrisno Sutrisno , Sari Fatihah Fajar , Suharsono Suharsono
Published: February 2023

The research focused on the institutional transformation of Islamic religious education (PAI) in SMP Negeri 3 Dempet, Demak Regency. The purpose of the study was to determine the form of PAI institutional transformation at SMP Negeri 3 Dempet in Demak Regency, the design of the state Islamic school as a form of PAI institutional transformation, and the contribution of PAI institutional transformation to the academic quality of PAI. Methods of data collection were interviews, field observations, and documentation. Data were obtained from the principal, school committee, vice principal, PAI teacher, education staff, and students, with 30 respondents. The data were then analyzed using an interactive analysis model with the stages of data collection, data reduction, data presentation, and verification/conclusion. The study results revealed that 1) state Islamic school is a form of PAI institutional transformation at SMP Negeri 3 Dempet, Demak Regency, 2) state Islamic school was built through intracurricular, extracurricular, and co-curricular activities, and 3) to improve academic quality, the institutional transformation of PAI in SMP Negeri 3 Dempet, Demak Regency, was conducted through regular programs, regular tahfidz (memorization) programs, and tahfidz boarding programs. This research contributes to the finding of the state Islamic school as a model for PAI's institutional transformation in schools.
Inclusive Islamic Education in the Framework of Inter-Religious Harmony: A Study of Mohammad Talbi's Thoughts
Authors: Gaffar Abdul , Falah Riza Zahriyal , Syarif Zainuddin
Published: February 2023

The purpose of writing this article is to present a concept of inclusive Islamic education by showing Muslim and Christian relations in the spectrum: “A Common Word” which has a connotative meaning that everything is equal, balanced, and level. Using the study method can reveal the results of the study on the thoughts of Mohammad Talbi. First, it touches on the range of modern Islamic issues and religious issues in general in the context of intra-Islamic relations and the relationship between Islam and other religions, particularly the relationship between Muslims and Christians. Second, building a paradigm of peace among adherents of the "Ibrahim faith" and building awareness that we and followers of other religions are one big family, namely the Ibrahim family (Millah Ibrahim) who can create a world of peace and harmony in diversity. The third ideas of Mohammad Talbi as an instrument in the process of understanding or constructing the historical-sociological-humanist perspective approach. The fourth is the relevance of the Islamic education model.
Tasawuf Education Concept in The Text of Sholawat Wahidiyah based on Al – Ghazali’s Theory
Authors: Khotimah Husnul Khotimah
Published: February 2023

One of the benefits of reading Shalawat Wahidiyah is being able to treat nifaq disease, a disease of the heart that alinater humans from Allah SAW. The more we understand the meaning of Shalawat Wahidiyah, the closer we are to the Creator. This is caused by Shalawat Wahidiyah containing various kinds of shalawat that have proven efficacious. Based on it, the researcher reveals to uncover the concept of Sufism education that exists in the text of Sholawat wahidiyah from the perspective of Al-Ghazali. The research method uses literature review and data sources in the form of Al-Ghazali's Sufism through references. Data analysis techniques uses descriptive analysis. The results mentioned that the concept of Sufism education implicit in the text of Sholawat wahidiyah includes: (1) takhalli, this is seen in the first part of the text, tawasul to the Prophet Muhammad and ghoutsi hadhazzaman; (2) tahalli, this is reflected in the word "adriknii" in the blessings of shalawat tsaljul qulub”, a form of hope to always be guided in the right path, and (3) tajalli, surrender fully to Allah SWT. The word "fafirruu ilallooh" and reading "al-Fatihah" are proof that humans with their helplessness is only dzarrah grains in the eyes of Allah SWT. 
Pendidikan Tasawuf Ibnu Thufail dalam Novel Hayy bin Yaqdzan
Authors: Qodim Husnul , Wasik Abdul , Rohman Fikri Taufiqur
Published: February 2023

Self-experience and the state of the soul of all people will give rise to expressions, like Ibn Tufail who expressed it through fictional prose (novel). It is said that a baby is left alone in the forest and then raised by a female deer; he has noble morals and can arrive at the meaning of Allah even though not everyone can feel it. Departing from that, this research tries to classify the values of Sufism teaching and the process of planting Sufism teaching education contained therein by research based on library research (literature study) and using a semiotic reading analysis system. The results of this study indicate that there are thirteen maqomats and maqomats will increase if they are always reviewed by looking at the signs of His power. In addition, his Sufism is classified as philosophical Sufism, a concept of Sufism that uses a ratio approach.
Development of MIKiR Teaching Materials Based on Educational Game “Find Me Save Me” to Preserve Plant Diversity in Indonesia
Authors: Permana Niki Dian , Fawaida Ulya , Sakilah Sakilah , Talakua Melvie
Published: February 2023

The current teaching materials are still in the form of books, it makes less attractive to readers. This research makes teaching materials packaged in games that invite prospective teachers to carry out Experiencing, Interaction,communication and Reflection activities in plant taxonomy learning. The purpose of this research is to develop MIKiR teaching materials from the “Find Me Save Me” game containing Indonesian plan biodiversity. This research is a development research which is analyzed descriptively. Purposive Sampling Technique, the subject of this research is the prospective science teacher of State Islamic University of Sultan Syarif Kasim Riau, State Islamic Institute of Kudus and Pattimura University which was held in March-May. The “Find Me Save Me” game was developed using the 4D stages in R and D, namely Define, Design, Develop, and disseminate. The game is installed through the application and data retrieval using google forms. This game uses 50 types of rare Indonesian plants which are used as a source of material for the game Find Me Save Me. The results of the research Game find me save me get proper validation and can be used in learning, and effective in introducing rare Indonesian plants, especially for prospective science teachers who are not only experts in science and technology but also love and want to preserve Indonesian plants that are starting to become rare.
Balanced Scorecard Performance Evaluation Model for Waqf Institution
Authors: Djalil Noviendri , Anwar Saiful
Published: February 2023

Nazir Professional supports the management and utilization of productive waqf in Indonesia with measurable performance and competence. This study aimed to contribute to the Indonesian Waqf Board in evaluating Nazir's performance and competence in managing productive waqf through Key Performance Indicators (KPI). A descriptive qualitative analysis was conducted on previous studies to examine Nazir's performance and competence through KPIs based on the Balanced Scorecard. KPIs and periodic evaluations could make Nazir work more productively and professionally to increase the growth of productive waqf. Furthermore, the Nazirs could use the KPI performance, and competency assessment model proposed to the Indonesian Waqf Board to standardize its performance and competency assessments. The proposed model is hoped to be refined through further evaluation in the future.

 
Exploring Zakat Payment Awareness and its Impact among MSMEs in Kartasura, Central Java, Indonesia
Authors: Alam Azhar , Widiastuti Tika , Faizah Anisa Nur , Ashfahany Afief El
Published: February 2023

This study aims to review the level of awareness of business zakat and its impact on business progress. The data for this research originated from the micro, small, and medium enterprises (MSME) business actors in Kartasura Subdistrict, Central Java, Indonesia. This study uses a qualitative approach to explore the awareness of business zakat and its impact on business progress. The open-ended interviews with a single case study from micro, small, and medium-sized enterprises (MSMEs) in the Kartasura sub-district, Central Java, Indonesia, were executed for data collection. 10 MSME businessmen were interviewed. The data was evaluated using the interpretative approach of the deductive method. The results showed the authors' deductive reasoning from the interview participants, explaining the informants' knowledge regarding zakat from commercial businesses and the impacts that might correspond to their business progress. This research underscores the importance of zakat awareness among MSME businessmen in Indonesia to further practice zakat in their businesses. This research recommended that MSME businesspeople need to know how to boost their zakat knowledge. MSME players must also include their staff to grasp their duties and the social purpose of zakat compliance, which will boost business development. Zakat management coordinators like BAZNAS must pay attention to MSMEs' compliance and zakat literacy because many sectors of the Indonesian economy still rely on them.
Z Generation's Intention to Use Zakat Digital Payment: The Mediating Effect of Trust
Authors: Ferdana Aulia Deva , Ridlwan Ahmad Ajib , Canggih Clarashinta , Fikriyah Khusnul
Published: February 2023

The goal of this study was to examine the variables that may affect Muslims in the Z generation's desire to make digital zakat payments. The UTAUT theory was employed in this study. PLS-SEM was used to analyze the data and test the hypothesis. 158 users of digital payment systems responded to the survey in total. The study's findings indicate that while performance expectancy has no impact on the intention to pay zakat through digital payments, effort expectancy, social influence, conducive conditions, and trust do. Additionally, trust promotes conditions and mediates social effects on behavioral intention, but it does not mediate performance expectations or effort expectations.
Huella hídrica del año 2019 y propuesta de medidas de optimización del consumo de agua de la Universidad Científica del Sur
Authors:   , Billinghurst Vargas Tiffany Krisel
Published: February 2023

La huella hídrica es un indicador del consumo de agua dulce directo e indirecto de un proceso productivo, producto, servicio, institución, área geopolítica, sector económico, una cuenca o una persona. La presente investigación tuvo como objetivo calcular la huella hídrica del Campus Villa de la Universidad Científica del Sur para sus actividades del año 2019, mediante la metodología de la Water Footprint Network. Ests, es considerada un estándar mundial para el cálculo de la huella hídrica y basada en su mayoría en el trabajo del profesor Dr. Arjen Hoekstra, quien en 2002 introdujo el concepto de la huella hídrica. De acuerdo con la metodología, se siguieron cuatro fases: definición de objetivo y alcance, contabilidad de la huella hídrica, análisis de sostenibilidad, y formulación de respuestas. Se obtuvo como resultado una huella hídrica de 774,322.19 m3/ año, representando la huella indirecta más de la mitad de la huella hídrica con 53.7%, mientras que la huella directa representa el 46.3% del total Posteriormente, se realizó un análisis de sostenibilidad de la huella hídrica, tomando en cuenta las tres dimensiones: ambiental, social y económica. A partir de esto, se propusieron ocho medidas de optimización del consumo de agua de los campus, de las cuales se han escogido siete en función a la construcción de las Curvas de Costo Marginal de Corrección (MACC) y el cálculo del Valor Actual Neto (VAN) de cada una.
Insights into the Effects of Pore Structure, Time Scale, and Injection Scenarios on Pore-Filling Sequence and Oil Recovery by Low-Salinity Waterflooding Using a Mechanistic DLVO-Based Pore-Scale Model
Authors: Namaee-Ghasemi Arman , Ayatollahi Shahab , Mahani Hassan
Published: February 2023

Despite the proven advantage of the low-salinity waterflooding (LSWF) technique, mechanistic understanding of the underlying phenomena at pore-scale remains uncertain. Hence, the corresponding models have limited predictability. In this study, wettability alteration via electrical double-layer (EDL) expansion is captured in a pore-scale model using a multispecies, multiphase computational fluid dynamics simulator. A combination of a pore-doublet and snap-off model is used to evaluate the low-salinity effect (LSE) in two geometries with different pore-throat size distributions. Contact angle is calculated intrinsically within the model using the concept of disjoining pressure through the implementation of the Derjaguin-Landau-Verwey-Overbeek (DLVO) theory and augmented Young-Laplace equation.

The results illustrate that even in a simple pore structure, various pore-filling sequences and recoveries are obtained based on the pore geometrical factors, time effects, backward mixing, and injection scenarios. Secondary LSWF results in higher ultimate oil recovery since both small and large pores are accessible to flow and breakthrough is delayed, giving more time for more efficient displacement. Regarding the pore-throat geometry, the case with larger pores connected via larger throats generally exhibits higher ultimate recoveries. However, the geometry with larger pores connected by small throats results in higher incremental recovery via tertiary LSWF. Moreover, an optimal time scale exists in secondary LSWF due to the snap-off phenomenon, while faster LSE results in higher recovery in tertiary mode. The proposed model is capable of mechanistically capturing and predicting LSE and its subsequent flow dynamics, which exhibits a higher recovery factor by LSWF compared to the commonly used linear wettability model. Thus, this approach improves the predictive capability of the previous models as it does not require contact angle data and arbitrary interpolation schemes.
Soil physical and biological quality in a peasant agroforestry system in Southern Brazil
Authors: Charnobay Aghata C. R. , Neto Pedro H. Weirich , Auler André C. , Gomes Jaime A. , de Souza Natali M. , Hyeda Daiane , Galvão Carolina W. , Gomes Aline L. , Lima Carmen L. R. F.
Published: February 2023

Agroforestry systems bring together social, economic, and environmental services and can be an alternative for promoting development and sustainability in peasant agriculture. This study aimed to evaluate the soil quality in a peasant agroecological agroforestry intercropped with vegetables (South Brazil). Treatments included an agroforestry row (AFS-R) managed under no-tillage and cultivated with trees for fruit and wood production; an agroforestry inter-row (AFS-I) managed with conventional tillage and cultivated with vegetables; and an area managed with conventional tillage (CT). Soil physical assessments comprised soil bulk density, total porosity, macroporosity, microporosity, bioporosity, mean weight diameter of aggregates, field capacity, aeration capacity, soil saturated hydraulic conductivity, and the visual evaluation of soil structure. Microbiological indicators included soil microbial biomass, basal respiration, microbial quotient, metabolic quotient, soil organic carbon, and the most probable number of nitrogen-fixing, ammonifying, and nitrite-oxidizing bacteria. The results demonstrated that AFS-R management improved several soil physical and microbiological attributes, highlighting the importance of plant diversity, organic residue inputs, and no-tillage for soil quality. On the other hand, the tillage practice contributed to structural and microbiological degradation in CT, and more intensively in AFS-I, indicating that more conservationist soil management, like minimum or no-tillage, might be studied as an alternative for the cultivation of vegetable crops in agroforestry systems.
UV, UV/H2O2, UV/SnO2/H2O2, UV/TiO2/H2O2, and UV/ZnO/H2O2 Efficiency for the Degradation of Reactive Blue 194: By-Product Distribution Evaluation
Authors: Noreen Ayesha , Bokhari Tanveer Hussain , Usman Muhammad , Yusaf Amnah , Saeed Muhammad , Iqbal Mazhar
Published: February 2023

The photocatalytic degradation of reactive blue 194 was evaluated by UV alone, UV/H2O2, UV/SnO2/H2O2, UV/TiO2/H2O2, and UV/ZnO/H2O2 processes. The process variables such as irradiation time (30-90 min), hydrogen peroxide dose (0.2-0.6 mL), amount of catalyst (0.3-0.9 g), dye concentration (50-150 ppm), and pH (3-9) were optimized to obtain maximum degradation. The 90% degradation was obtained at the optimum condition of dye concentration (50 ppm), H2O2 concentration (0.6 mL), and ZnO concentration (0.9 g) at pH 3 in 90 minutes of irradiation time. The results revealed that the % age degradation of RB-194 with UV, UV/H2O2, UV/SnO2/H2O2, and UV/TiO2/H2O2 was 55%, 81%, 85%, and 83% respectively. Fourier transform infrared (FTIR) spectroscopy and UV-visible spectroscopy were used to monitor the radiolytic progress of reactive blue 194. The liquid chromatography-mass spectrometry (LCMS) technique was used to monitor degradation by-products. Overall, the findings suggest that the photocatalysis-based advanced oxidation process is a feasible alternative for removing RB-194 from effluents.
Slow Manifold Analysis of Modified Burst Model in the Saccadic System
Authors: Mousavinejad Fatemeh Sadat , Nia Mehdi Fatehi
Published: February 2023

‎The saccade is one of the eye movements that resulted in the creation of the saccadic model‎. ‎This work is grounded in the basic principles of the saccadic system‎, ‎which are burst neurons and a resettable integrator model‎. ‎We intend to substitute a new model for the original one so that the equilibrium point of the system becomes a differentiable point in the changed model to eliminate the main shortcoming of the original model at the equilibrium point‎. ‎Our principal objective in this study is to determine the geometry of the slow manifold for the innovative system that has one fast and one slow variable‎. ‎Specifically‎, ‎we examine the dynamics around an equilibrium point and the geometry of a slow manifold by using Fenichel's theorem‎. ‎The current study is to ascertain the effects of geometric singular perturbations on this fast-slow system‎. ‎To conclude the debate‎, ‎the stability or instability at the equilibrium point is found by using the center manifold theory‎.
Employee Satisfaction and Electronic Workflow at King Hussein Cancer Center: Descriptive and Stepwise Regression Analytics with Questionnaire Validity Measuring
Authors: Qandeel Mahmoud Salameh
Published: February 2023

Objectives

The purpose of the study is to develop a questionnaire on the "Electronic Workflow" of the system and how it relates to employee satisfaction at King Hussein Cancer Center (KHCC), a hospital in Jordan, as well as to assess how satisfied staff members were with the five aspects of this electronic system.

Methods

After being evaluated, a questionnaire was piloted with a small group of KHCC employees. The researcher subsequently studied the five aspects of “Electronic Workflow”— electronic "Work," "Transfer," "Audit and Control," "Delay or Postponement," and "Save and Store"—in more detail by first conducting a descriptive analysis and then running a stepwise regression analysis.

Results

The questionnaire was found to be valid and reliable, and no multicollinearity overlapped between independent variables. The employees demonstrated a high level of estimation for electronic aspects, also to their satisfaction, but a medium level of estimation for the current system in use and the probability that the electronic system will not cause work to be delayed or postponed. While the stepwise regression proved a positive relationship, except for the "Transfer" of electronic tasks.

Conclusions

The study emphasized the significance of electronic systems in facilitating work, enhancing staff satisfaction, and improving patient care. Notably, hospitals must employ new technologies to stay abreast of developments where prompt intervention is required.
JEL Code: J28, D73, O14.
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

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

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

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

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

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

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

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

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

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

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

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

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

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.