bluuebunny/crossref_metadata_2025 huggingface dataset:
User Experience Evaluation of Upper Limb Rehabilitation Robots: Implications for Design Optimization: A Pilot Study
Authors: Yeh Tzu-Ning , Chou Li-Wei
Published: November 2023

With the development of science and technology, people are trying to use robots to assist in stroke rehabilitation training. This study aims to analyze the result of the formative test to provide the orientation of upper limb rehabilitation robot design optimization. We invited 21 physical therapists (PTs) and eight occupational therapists (OTs) who had no experience operating any upper limb rehabilitation robots before, and 4 PTs and 1 OT who had experience operating upper limb rehabilitation robots. Data statistics use the Likert scale. The general group scored 3.5 for safety-related topics, while the experience group scored 4.5. In applicability-related questions, the main function score was 2.3 in the general group and 2.4 in the experience group; and the training trajectory score was 3.5 in the general group and 5.0 in the experience group. The overall ease of use score was 3.1 in the general group and 3.6 in the experience group. There was no statistical difference between the two groups. The methods to retouch the trajectory can be designed through the feedback collected in the formative test and gathering further detail in the next test. Further details about the smooth trajectory must be confirmed in the next test. The optimization of the recording process is also important to prevent users from making additional effort to know it well.
Quartz-Enhanced Photoacoustic Sensor Based on a Multi-Laser Source for In-Sequence Detection of NO2, SO2, and NH3
Authors: Patimisco Pietro , Ardito Nicoletta , De Toma Edoardo , Burghart Dominik , Tigaev Vladislav , Belkin Mikhail A. , Spagnolo Vincenzo
Published: November 2023

In this work, we report on the implementation of a multi-quantum cascade laser (QCL) module as an innovative light source for quartz-enhanced photoacoustic spectroscopy (QEPAS) sensing. The source is composed of three different QCLs coupled with a dichroitic beam combiner module that provides an overlapping collimated beam output for all three QCLs. The 3λ-QCL QEPAS sensor was tested for detection of NO2, SO2, and NH3 in sequence in a laboratory environment. Sensitivities of 19.99 mV/ppm, 19.39 mV/ppm, and 73.99 mV/ppm were reached for NO2, SO2, and NH3 gas detection, respectively, with ultimate detection limits of 9 ppb, 9.3 ppb, and 2.4 ppb for these three gases, respectively, at an integration time of 100 ms. The detection limits were well below the values of typical natural abundance of NO2, SO2, and NH3 in air.
Physico-Chemical Properties and Phosphorus Solubilization of Organomineral Fertilizers Derived from Sewage Sludge
Authors: Espinoza Andre Luiz de Freitas , Raniro Henrique Rasera , Leite Camille Nunes , Pavinato Paulo Sergio
Published: November 2023

Sewage sludge (SS) is an organic waste that may potentially be used as a slow-release source of phosphorus (P), despite the necessity for pre-treatment and its lower P content compared to soluble mineral fertilizers. For these reasons, composted sewage sludge was used to manufacture pelletized organomineral fertilizers, by mixing it with the inorganic sources monoammonium phosphate (MAP) and AshDec® (ASD) (thermochemically incinerated SS). The fertilizers were physiochemically characterized and evaluated for their P solubilization dynamics and lability in the soil. The sources tested were as follows: organic compost of sewage sludge powder (SSC) and its pelletized form (SCP), pelletized organomineral SSC + MAP (S + MAP) and SSC + ASD (S + ASD), ASD alone, compared conventional MAP and a control (nil-P). These fertilizers were applied to columns containing 50 g of soil at the dose of 100 mg P column−1 and were leached daily with 30 mL of water or 2% citric acid for 30 days. We analyzed the leachates for pH and P content. Pelletizing process resulted in denser products and promoted more gradual P release. The organomineral S + MAP was the most water-soluble recycled source, solubilizing about 70% of the total P, while the others presented much lower solubilization (<20%). In contrast, all fertilizers showed high solubility in 2% citric acid (except for S + ASD). After leaching, soil P fractionation disclosed that the P leftover in the soil remained mostly in the labile and moderately labile pools. Composting and the ASD process produced materials with slow P solubilization, being favored in acidic soils and in plant’s rhizosphere. In turn, S + MAP resulted in a promising product with intermediate P solubility, better synchronized with crop demand, potentially increasing P-use efficiency. Our results shed light in the physico-chemical properties and on the solubilization dynamics of novel organomineral products in tropical soil conditions.
Thermodynamic Properties as a Function of Temperature of AlMoNbV, NbTaTiV, NbTaTiZr, AlNbTaTiV, HfNbTaTiZr, and MoNbTaVW Refractory High-Entropy Alloys from First-Principles Calculations
Authors: Moreno Danielsen E. , Hargather Chelsey Z.
Published: November 2023

Refractory high-entropy alloys (RHEAs) are strong candidates for use in high-temperature engineering applications. As such, the thermodynamic properties as a function of temperature for a variety of RHEA systems need to be studied. In the present work, thermodynamic quantities such as entropy, enthalpy, heat capacity at constant volume, and linear thermal expansion are calculated for three quaternary and three quinary single-phase, BCC RHEAs: AlMoNbV, NbTaTiV, NbTaTiZr, AlNbTaTiV, HfNbTaTiZr, and MoNbTaVW. First-principle calculations based on density functional theory are used for the calculations, and special quasirandom structures (SQSs) are used to represent the random solid solution nature of the RHEAs. A code for the finite temperature thermodynamic properties using the Debye-Grüneisen model is written and employed. For the first time, the finite temperature thermodynamic properties of all 24 atomic configuration permutations of a quaternary RHEA are calculated. At most, 1.7% difference is found between the resulting properties as a function of atomic configuration, indicating that the atomic configuration of the SQS has little effect on the calculated thermodynamic properties. The behavior of thermodynamic properties among the RHEAs studied is discussed based on valence electron concentration and atomic size. Among the quaternary RHEAs studied, namely AlMoNbV, NbTaTiZr, and NbTaTiV, it is found that the presence of Zr contributes to higher entropy. Additionally, at lower temperatures, Zr contributes to higher heat capacity and thermal expansion compared to the alloys without Zr, possibly due to its valence electron concentration. At higher temperatures, Al contributes to higher heat capacity and thermal expansion, possibly due its ductility. Among the quinary systems, the presence of Mo, W, and/or V causes the RHEA to have a lower thermal expansion than the other systems studied. Finally, when comparing the systems with the NbTaTi core, the addition of Al increases thermal expansion, while the removal of Zr lowers the thermal expansion.
Sex Differences in Bone, Muscle, and Inflammatory Markers and Their Associations with Muscle Performance Variables
Authors: Sharma Ghimire Pragya , Eckart Adam , Al-Makhzoomy Ibtihal K. , Stavitz James
Published: November 2023

The importance of various markers such as Sclerostin, Dickkopf-1 (DKK-1), Irisin, receptor activator of NF-kB ligand (RANKL), and Vitamin D have been well studied in bone metabolism. Additionally, inflammatory cytokines such as tumor necrosis factor-alpha (TNF-α) and Interleukin 6 (IL-6) have been shown to hinder muscle protein synthesis, leading to the loss of muscle and strength. However, a research gap exists in understanding their role in muscle function and physical activity. Therefore, this study aims to explore the serum levels of Sclerostin, DKK-1, Irisin, IL-6, RANKL, Vitamin D, and TNF-α and assess their relationships with upper- and lower-body strength in young adults. In this study, 38 college-aged students (18–23 years), males and females, participated and completed the protocols. The participants’ lower and upper body strength were assessed by the vertical jump test (Just Jump, Probotic, AL) with a Tendo FitroDyne (Tendo Sports Machines, Trencin, Slovak Republic) and handgrip (HG) dynamometry (Takei Scientific Instruments, Yashiroda, Japan), respectively. Fasting morning blood samples were analyzed for serum levels of biomarkers by ELISA. The results indicate significant sex differences in Sclerostin, DKK-1, Irisin, and Vitamin D levels (p < 0.05). Furthermore, a positive association was observed between Sclerostin, DKK-1, and Vitamin D, with lower body muscle performance variables (p < 0.05). Conversely, a significant negative correlation was observed between TNF-α and lower-body muscle performance variables (p < 0.05). The results suggest that these markers may have a distinct effect on muscle performance, underscoring the need for further investigation to elucidate the concept of muscle–bone crosstalk.
Unearthing the Construction Industry’s Awareness of and Reactions to the Global Sand Crisis
Authors: Peng Yunxin , Zadeh Adel A. , Puffer Sheila M.
Published: November 2023

The United Nations has declared a global sand crisis. The construction industry, as a major user of sand, needs to significantly reduce the use of this finite natural resource. The purpose of this study is to measure the level of awareness of the sand crisis among construction industry professionals, to assess their reactions upon learning of the crisis, and to determine sources of information for those who are aware of the crisis. The Cognitive-Affective-Conative model was applied as the theoretical framework. The study is based on a survey and in-depth interviews with 75 construction industry professionals in the United States and Canada. Analyses included level of awareness by professional role and by reaction, as well as level of awareness by role and by type of information. Results showed that knowledge of the sand crisis was generally low. A content analysis of interview transcripts categorized five reactions to the crisis. These results suggest that generally across all roles, those with more familiarity with the sand crisis had reactions of proactive and feel bad while those with less familiarity expressed curiosity and surprise. Denial was expressed by a few. Recommendations include: First, greater efforts are required to inform construction industry professionals of the need to reduce the use of sand. Second, it is important to determine reactions upon learning of the crisis in order to generate interest and galvanize action. Third, determining the source of knowledge can help assess effective ways of broadly disseminating information to the construction industry.
The Fabrication and Characterization of Silicon Surface Grooving Using the CV Etching Technique for Front Deep Metallic Contact Solar Cells
Authors: Rabha Mohamed Ben , Choubani Karim , Bouktif Belgacem , Almeshaal Mohammed A. , Trabelsi Khaled , Hajjaji Anouar , Ennetta Ridha , Bouabidi Abdallah , Papathi Murugesan Palaniappan
Published: November 2023

This study experimentally investigated the use of the chemical vapor etching method for silicon surface grooving for regular front deep metallic contact solar cell applications. The thickness of silicon wafers is a crucial parameter in the production of solar cells with front and back buried contacts, because silicon surface grooves result in a larger contact area, which in turn improves carrier collection and increases the collection probability for minority carriers. A simple, low-cost HNO3/HF chemical vapor etching technique was used to create grooves on silicon wafers with the help of a highly effective anti-acid mask. The thick porous layer of powder that was produced was easily dissolved in water, leaving patterned grooved areas on the silicon substrate. A linear dependence was observed between the etched thickness and time, suggesting that the etching process followed a constant etch rate, something that is crucial for ensuring precise and reproducible etching results for the semiconductor and microfabrication industries. Moreover, by creating shorter pathways for charge carriers to travel to their respective contacts, front deep contacts minimize the overall distance they need to traverse and therefore reduce the chance of carrier recombination within the silicon material. As a result, the internal quantum efficiency of solar cells with front deep metallic contacts improved by 35% compared to mc-Si solar cells having planar contacts. The use of front deep contacts therefore represents a forward-looking strategy for improving the performance of silicon solar cells. Indeed, this innovative electrode configuration improves charge carrier collection, mitigates recombination losses, and ultimately leads to more efficient and effective solar energy conversion, which contributes to sustainable energy development in the areas of clean energy resources. Further work needs to be undertaken to develop energy sustainably and consider other clean energy resources.
Hydrochemical and Microbiological Investigations and the Therapeutic Potential of Some Mineral Waters from Bihor County, Romania
Authors: Linc Ribana , Pantea Emilia , Șerban Eugenia , Ciurba (Pastor) Anca-Paula , Serban Georgeta
Published: November 2023

Water quality plays an important role for every sustainable social and economic system, as well as for maintaining human health. This study, carried out during 2022–2023, has as its main objective the physical–chemical and microbiological analysis of some underground water resources (two boreholes and a spring) with a natural mineral load from three areas in Bihor County (Romania), and the impact of their consumption on people’s health. Therefore, six microbiological parameters and 17 physical–chemical indicators in three localities (Tămășeu, Sîntimreu, Pădurea Neagră) were analyzed. The results of the microbiological analysis indicate a type of water that respects the limits imposed by the legislation on natural mineral waters and potability. The physical–chemical indicators show that the hydrochemical type of the studied waters is predominantly bicarbonate, in association with calcium, magnesium, and sodium cations. The residents’ perception on water quality and the effect on people’s health was assessed through a questionnaire (23 items) addressed to the population of the three villages and neighboring localities. The results showed that the mineral waters from Sîntimreu and Pădurea Neagră are used frequently. Many respondents consider the local mineral waters as without quality-related problems and with beneficial effects regarding acute or chronic gastrointestinal conditions, such as gastritis, gastric ulcers, flatulence, or liver diseases.
Impact of Fires at Illegal Waste Storage Sites on Soil Contamination—A Study of Five Cases from Poland
Authors: Kuta Łukasz , Hachoł Justyna , Wdowczyk Aleksandra , Hochman Julia
Published: November 2023

In recent years in Poland, there has been an increasing issue with waste management. Despite waste sorting and fees paid by residents for waste collection, many of these waste materials are illegally disposed of. Such formally unclassified waste poses a significant threat to the surrounding residents and exerts toxic effects on soil and as well as surface- and groundwater and also fauna and flora in the vicinity. Due to the significant number of illegal storage site fires in Poland, the authors of this article assessed the impact of five different fires at illegal waste storage sites in Poland on the soil by analyzing the composition of the ashes remaining after a fire. Based on the chemical evaluation of the ashes, it was found that there are substances present in quantities exceeding permissible concentrations. Therefore, the authors concluded that some of these substances may have a negative impact on human health and degrade the surrounding flora and fauna in the storage areas. Consequently, it is essential to exercise stricter control over waste storage locations, classifying the waste left there to prevent adverse environmental and human impacts in case of a fire. Further research is necessary to assess the influence, for example, of leachate following a fire on the quality of the natural environment.
Cryogenic Comminution of Subsea Cables and Flowlines: A Pathway for Circular Recycling of End-of-Life Offshore Infrastructure
Authors: Oluwoye Ibukun , Mathew Arun
Published: November 2023

Hundreds of thousands of kilometers of communication and power (umbilical) cables and flowlines lie undersea worldwide. Most of these offshore cables and flowlines have reached or will soon be nearing the end of their service life, prompting the need for a viable recycling approach to recover some valuable material, e.g., copper. However, separation into constituent materials has proven very challenging due to the highly robust design of the composite cables (and flowlines) to withstand service conditions and the tough external plastic sheaths that protect against seawater corrosion. This study aims at promoting sustainable practices in the offshore energy sector. Here, we summarize the findings of the cryogenic comminution of subsea cables and flowlines for an effective separation and recovery of component materials. Heat transfer analyses of complex multilayer flowlines and umbilicals were conducted to evaluate the time required for these structures to reach their respective critical brittle-transition temperatures. Subsequently, the time was used as a guide to crush the flowline and umbilical cables under cryogenic conditions. The results show that the flowlines and umbilical cables will reach the brittle-transition temperature after approximately 1000s (i.e., 17 min) of submergence in liquid nitrogen (LN). Comminution of the materials at temperatures near the brittle-transition temperature was proven relatively efficient compared to room-temperature processing. The present evaluation of heat transfer and lab-scale crushing will afford accurate process modelling and design of a pilot cryogenic comminution of decommissioned subsea cables and flowlines, enabling the sustainable recovery of valuable materials that can provide a new stream of waste-to-wealth economy.
Examining the Impact of Internationalization and Competitive Advantages on Enterprise Performance in Taiwan’s Computer Numerical Control Machine Industry
Authors: Liao Hsing-Kuo , Liao Chin-Wen , Chen Cheng-Chi , Chen Tzu-Wen
Published: November 2023

An enterprise must have good operating performance to operate continuously. A good company itself must have a good management team and a large enough market to operate. Taiwan is located in East Asia, and has neighboring countries, such as Japan, South Korea, and the Philippines. Taiwan’s machine tools industry cannot be developed on a large scale due to the geographical environment and land area restrictions. Enterprises are constrained by the external environment, which includes economic cycles, raw materials supply, user demand, and other factors that influence their performance. This is the primary challenge currently faced by Taiwan’s CNC industry. According to relevant research, companies can utilize various strategic models to identify operational shortcomings from the perspective of their employees, in order to enhance business performance. Therefore, Taiwan’s machine tool industry has to be extended to a larger scale. In the international market, only by exporting products and, then, taking full advantage of higher-quality capabilities, can we create good corporate performance. Therefore, internationalization is an important factor for Taiwan’s companies to improve their operating performance. This article uses Taiwan’s machine tools industry to explore the impact of factors, such as international perspectives and competitive advantages, on operating performance; this study selects 62 companies as a sample, the period is 2022. and analyzes the data type using class regression. The empirical results show that in the initial stage of internationalization, internationalization and competitive advantages help companies improve their operating performance. The industrial environment has a positive regulatory effect on internationalization and enterprise performance. However, when the company reaches the stage of internationalization, its operating performance begins to decline. Therefore, companies must recognize their own operating capabilities and create a more favorable operating performance under internationalized strategies. The important factor is that only through continuous innovation can companies gain an advantage in their long-term operations. With the advent of the era of Industry 4.0, industry knowledge is highly intensive and competition within the international environment is fierce. Companies should plan for a long-term competitive advantage to improve enterprise performance.
Satellite-Based Optimization and Planning of Urban Ventilation Corridors for a Healthy Microclimate Environment
Authors: Gong Deming , Dai Xiaoyan , Zhou Liguo
Published: November 2023

Urban ventilation corridors (UVCs) have the potential to effectively mitigate urban heat islands and air pollution. Shanghai, a densely populated city located in eastern China, is among the hottest cities in the country and requires urgent measures in order to enhance its ventilation system. This study introduces a novel approach that integrates land surface temperature retrieval, PM2.5 concentration retrieval, and wind field simulation to design UVCs at the city level. Through remote sensing data inversion of land surface temperature (LST) and PM2.5 concentration, the study identifies the action spaces and compensation spaces for UVCs. The Weather Research and Forecasting (WRF) model, coupled with the multilayer urban scheme Building Effect Parameterization (BEP) model, is employed to numerically simulate and analyze the wind field. Based on the identification of thirty high-temperature zones and high PM2.5 concentration zones as action spaces, and twenty-two low-temperature zones and low PM2.5 concentration zones as compensation spaces in Shanghai, the study constructs seven first-class ventilation corridors and nine secondary ventilation corridors according to local circulation patterns. Unlike previous UVC research, this study assesses the cleanliness of cold air, which is a common oversight in UVC planning. Ignoring the assessment of cold air cleanliness can result in less effective UVCs in improving urban air quality and even exacerbate air pollution in the central city. Therefore, this study serves as a crucial contribution by rectifying this significant deficiency. It not only provides a fresh perspective and methodology for urban-scale ventilation corridor planning but also contributes to enhancing the urban microclimate by mitigating the effects of urban heat islands and reducing air pollution, ultimately creating a livable and comfortable environment for urban residents.
Towards Sustainable Roads: A Systematic Review of Triple-Bottom-Line-Based Assessment Methods
Authors: Del Rosario Pamela , Traverso Marzia
Published: November 2023

This review summarizes the methods and approaches for quantifying the sustainability performance of roads based on the Triple Bottom Line (TBL) concept. Furthermore, research gaps and challenges in the sustainability assessment of roads are identified. While prior studies explored the environmental and economic dimensions, no comprehensive overview of holistic sustainability assessment of roads exists. A systematic literature review (SLR) was conducted to identify relevant studies. Two assessment approaches were identified: (1) life-cycle-based approaches and (2) sustainability rating systems (SRS). Most of the reviewed studies applied life-cycle-based methods, such as Life Cycle Sustainability Assessment or a combination of Life Cycle Assessment, Life Cycle Costing, and selected social indicators. Heterogeneity in functional units was observed, with most studies opting for a dimension-based instead of a function-based reference. There was high variability regarding the life cycle stages, indicators, and impact assessment methods. Concerning the interpretation methods, most studies calculated a sustainability index or applied Multi-Criteria Decision-Making methods. The SRS presented a similar structure with different levels of aggregation. Furthermore, aspects such as planning, leadership, innovation, and construction activities were addressed. The results of this SLR contribute to expanding the knowledge regarding road sustainability and provide insight into common frameworks, guidelines, and best practices for the sustainability assessment of roads and pavements.
Drinking Water Resources Suitability Assessment Based on Pollution Index of Groundwater Using Improved Explainable Artificial Intelligence
Authors: Abba Sani I. , Yassin Mohamed A. , Mubarak Auwalu Saleh , Shah Syed Muzzamil Hussain , Usman Jamilu , Oudah Atheer Y. , Naganna Sujay Raghavendra , Aljundi Isam H.
Published: November 2023

The global significance of fluoride and nitrate contamination in coastal areas cannot be overstated, as these contaminants pose critical environmental and public health challenges across the world. Water quality is an essential component in sustaining environmental health. This integrated study aimed to assess indexical and spatial water quality, potential contamination sources, and health risks associated with groundwater resources in Al-Hassa, Saudi Arabia. Groundwater samples were tested using standard methods. The physiochemical results indicated overall groundwater pollution. This study addresses the critical issue of drinking water resource suitability assessment by introducing an innovative approach based on the pollution index of groundwater (PIG). Focusing on the eastern region of Saudi Arabia, where water resource management is of paramount importance, we employed advanced machine learning (ML) models to forecast groundwater suitability using several combinations (C1 = EC + Na + Mg + Cl, C2 = TDS + TA + HCO3 + K + Ca, and C3 = SO4 + pH + NO3 + F + Turb). Six ML models, including random forest (RF), decision trees (DT), XgBoost, CatBoost, linear regression, and support vector machines (SVM), were utilized to predict groundwater quality. These models, based on several performance criteria (MAPE, MAE, MSE, and DC), offer valuable insights into the complex relationships governing groundwater pollution with an accuracy of more than 90%. To enhance the transparency and interpretability of the ML models, we incorporated the local interpretable model-agnostic explanation method, SHapley Additive exPlanations (SHAP). SHAP allows us to interpret the prediction-making process of otherwise opaque black-box models. We believe that the integration of ML models and SHAP-based explainability offers a promising avenue for sustainable water resource management in Saudi Arabia and can serve as a model for addressing similar challenges worldwide. By bridging the gap between complex data-driven predictions and actionable insights, this study contributes to the advancement of environmental stewardship and water security in the region.
Internet of Things (IoT)-Based Teaching and Learning: Modern Trends and Open Challenges
Authors: Ghashim Ibrahim Ahmed , Arshad Muhammad
Published: November 2023

The effect of technology has caused many institutions to intend to change their approach to teaching and learning, resulting in the current model of teaching and learning being an active collaborative and self-directed one. The connection between education and technology has received attention as part of educational policy and practice. Debatable topics like how to use technology in the classroom have therefore punctuated complaints about declining educational standards, unemployed learners, duplicate curricula, and archaic institutional structure. In the framework of information and communication technologies and societal growth, the Internet of Things (IoT) is asserting its vital position. Institutions may improve learning outcomes with the use of the Internet of Things by offering enhanced learning experiences, increasing operational effectiveness, and collecting real-time, actionable insight into student performance. The current state of the Internet of Educational Things (IoET) is examined from several educational perspectives in this article; a few of them are highlighted, and both of their established and potential educational benefits are discussed. Additionally, it provides in-depth discussions on current issues and problems for the IoET from a variety of approaches. The investigation performs a bibliometric analysis with VOSviewer to focus on peer-reviewed research articles published in well-known publications databases over the past eight (8) years. The findings of this study should also act as a strong incentive for universities and colleges around the world to use IoT-based teaching and learning technology for improved academic achievement.
Research on Carbon Emission Characteristics and Differentiated Carbon Reduction Pathways in the Yangtze River Delta Region Based on the STIRPAT Model
Authors: Jian Kerong , Shi Ruyun , Zhang Yixue , Liao Zhigao
Published: November 2023

With the changes in the spatial structure of China’s economic development, urban clusters have become the primary carriers of China’s regional economy and green growth. We used annual data from 2010 to 2021 to study the carbon emission characteristics and carbon reduction pathways of 36 cities in the Yangtze River Delta region. Firstly, based on the decoupling elasticity coefficient and carbon intensity index, the researchers divided the cities in the Yangtze River Delta into six types of carbon emissions. Then, the STIRPAT model was used to regress the panel data of different carbon emission types for 11 years, analyze the driving factors of carbon emissions, and develop differentiated carbon emission reduction paths for cities with six carbon emission types. According to the results, the cities of Type I need to accelerate low-carbon technology innovation; the cities of Type II need to improve energy efficiency and strengthen low-carbon technology research and development; the cities of Type V need to suppress foreign investment in high-energy consumption and high-emission projects in the local area; the cities of Type VI need to accelerate the process of new urbanization and optimize industrial structure. However, the researchers found that the cities of Types III and IV have not yet received effective emission reduction pathways, and their emission reduction policies and measures need to be further studied.
Collaborative Optimization Scheduling of Resilience and Economic Oriented Islanded Integrated Energy System under Low Carbon Transition
Authors: Ma Haotian , Wang Yang , He Mengyang
Published: November 2023

With the development of new energy sources and the increase in the installed scale of energy coupling equipment, the low-carbon transformation of the energy supply of the integrated energy system (IES) has a serious impact on the reliability of the IES supply, and there is an urgent need for a reasonable and accurate assessment and trade-off between the IES resilience and economics. In this regard, this paper models the overall optimization of the resilience and economic configuration and operation scheduling of the IES in the islanded operation mode after grid faults, proposes a two-layer optimization strategy model of resilience and economy, and solves the unit configuration, coupled output characteristics, and optimal scheduling of the islanded IES using the Markov decision-making process and forbearing stratified sequencing method, and evaluates and analyzes the resilience and cost of the various types of IES configuration schemes. Resilience and cost are also evaluated and analyzed. Finally, an example analysis is carried out in an electric-heat-cooling integrated energy system. The results show that the proposed two-tier optimization strategy model can optimize the IES configuration scheme and coordinate the scheduling of each equipment, and the overall annualized cost of the energy system decreases by CNY 45.21 thousand, or a percentage decrease of 5.24%, compared to the same configuration of the conventional strategy. The typical day toughness index improved by 7.33%, 7.56%, and 13.01% in the spring, summer, and autumn, respectively.
An Intelligent Controller Based on Extension Theory for Batteries Charging and Discharging Control
Authors: Chao Kuei-Hsiang , Li Jia-Yan
Published: November 2023

The main purpose of this paper is to develop an intelligent controller for the DC-link voltage of bidirectional soft-switching converters used in the batteries with equalizing charge and discharge control. To accelerate the equalizing charge and discharge speed of batteries, the DC-link voltage controller of the bidirectional converters is designed based on extension theory. Firstly, the photovoltaic module arrays (PVMAs) are used with the intelligent maximum power point tracker (MPPT) for supplying the power to the load side. Through the bidirectional soft-switching converters, the PVMAs will be allowed to carry out the uniform charging and discharging for the storage battery in order to achieve the intended energy storage and auxiliary power supply functions. In terms of the controller design, the quantitative design techniques are utilized, by which the P-I controller parameters will be designed for the converter when attempting to achieve the same control performance at different working points. As a next step, the aforesaid parameters are used together with the extenics theory. Based on the variation in the output power of the bidirectional converter and that in the voltage of the storage battery, it allows the system to find out the intended P-I controller parameters that will be approximate to the prescribed control performance when operating under different working conditions. As a result, the P-I controller will be provided with more efficient control flexibility and control performances. Finally, actual test results demonstrated that the response time of the proposed intelligent extension controller is shortened by 3% compared to the quantitative design of the proportional–integral (P-I) controller. Based on the proposed quantitative design of an intelligent controller for uniform charging and discharging management of batteries, the sustainable utilization of renewable sources of energy can be improved. At the same time, the better economic benefit of the energy preservation system is obtained. In addition, it also prolongs the life cycle of batteries, and then enhances the reliability of the batteries.
The Effects of Experienced Utility and PEEIM on the Purchase Intention of Cross-Border E-Commerce
Authors: Chuang Huan-Ming , Chuang Chen-Chia
Published: November 2023

Due to the rapid development of the internet, cross-border e-commerce (CBEC) is gaining popularity. With CBEC, consumers from different countries can overcome the limits of languages and currencies to buy desired products directly. However, compared to domestic e-commerce, CBEC confronts significant challenges, such as risky distribution channels, dependency on third-party logistics, customs clearance, etc. Therefore, multi-faceted efforts are needed to promote CBEC. Traditional studies probe CBEC through a logistics and operational perspective; this study bridges a research gap by stressing a human–computer interaction perspective. Under the premise that technical infrastructure keeps improving, consumers’ expectations of switching to CBEC has been an essential issue. Specifically, this study develops a theoretical model that emphasizes website cues as experienced utility and the perceived effectiveness of e-commerce institutional mechanisms (PEEIM) as decision utility to investigate their effects on the purchase intention of CBEC. This study applied Smart PLS 3.0 to verify the research model with 300 valid responses from online questionnaires. Research findings confirmed the proposed model. Practical strategies for promoting CEBC were suggested accordingly.
An Assessment of the Impact of Climate Change on Asphalt Binder Selection in East China Based on the ARIMA Model
Authors: Sheng Jiajia , Miao Yinghao , Wang Linbing
Published: November 2023

Temperature is a key factor considered in the selection of asphalt binders for asphalt pavement construction. Currently, the asphalt binders used in some regions’ asphalt pavements are no longer suitable for anticipated climate conditions. The reasonable selection of asphalt binder is an important measure for asphalt pavement to adapt to climate change. This paper focuses on the potential impact of climate change on asphalt binder selection in East China in the future. This study is based on the performance grade (PG) system with SUPERPAVE specifications. It involved collecting meteorological data from 109 meteorological stations in East China from 1960 to 2019 and used the ARIMA prediction model to calculate the maximum and minimum design temperatures for road surfaces over the next 20 years. Based on the forecasted road surface temperature data, the impact of climate change on the choice of asphalt binder in East China was discussed. The research findings indicate that, validated by historical data, using the ARIMA model for future temperature prediction has proven reliability. There are some differences in different regions regarding the change in maximum and minimum pavement design temperatures. In 2019 and 2039, there are three and four high temperature grades in East China; these are PG52, PG58, and PG64 and PG52, PG58, and PG64, PG70 respectively. The dominant high temperature grade in East China will remain PG64, and a total of 23.80% of the regions in East China will experience a one-grade upward shift in high temperature grades. PG-28, PG-22, PG-16, and PG-10 are the four low temperature grades distributed in East China in both 2019 and 2039. Compared with 2019, the proportion of areas with grade PG-16 will increase from 33.86% to 34.89%, and the dominant low temperature grade in East China will remain PG-10 in 2039. In the next 20 years, low-temperature cracking issues related to asphalt pavement in some areas of East China will intensify, but the primary challenge will still be problems caused by high temperatures.
Digitalization and Sustainable Competitive Performance in Small–Medium Enterprises: A Moderation Mediation Model
Authors: Al-Omush Ahmed , Momany Munther Talal , Hannoon Azzam , Anwar Muhammad
Published: November 2023

Research on the relationship between digitalization and firm performance has grown exponentially over the past decade. However, most studies in this area have concentrated on large firms, focusing on IT capabilities in developed markets. The exploration of how digitalization drives sustainable competitive performance in emerging SMEs remains a largely uncharted territory. Specifically, the mechanisms through which digital strategy enhances digital capability and, in turn, leads to sustainable competitive performance in manufacturing SMEs, have received limited attention. To bridge this gap and contribute to the literature, we conducted a survey involving 376 manufacturing SMEs and employed SPSS.25 and AMOS.24 for data analysis. Our results indicate that digital strategy positively influences the sustainable competitive performance of manufacturing SMEs, with this relationship being partially mediated by digital capability. Additionally, we found that digital culture plays a reinforcing role in the connection between digital strategy and digital capability. This study contributes to the literature on dynamic capability by highlighting the significance of digital strategy and digital culture as antecedents to sustainable competitive performance, with digital capability acting as an intervening variable for manufacturing SMEs. The findings show that SMEs should promote digital culture and strategies that in turn enhance their digital capability and sustainable competitive performance in the dynamic markets.
Life Cycle Assessment of Tomato Cultivated in an Innovative Soilless System
Authors: Pedalà Maria Concetta , Traverso Marzia , Prestigiacomo Simona , Covais Antonio , Gugliuzza Giovanni
Published: November 2023

The main goal of this study is to present the life cycle assessment results of an innovative closed-loop production system, called an agriponic system, used for producing tomatoes. In the study, this new system is presented, as well as its related environmental impacts generated for the production of the tomatoes. A life cycle assessment (according to ISO 14040) was applied to it, from seedling purchase and planting to harvest, using a functional unit of 1 ton of cherry tomatoes produced. SimaPro 9.3.0.3 software and the Ecoinvent database were used to analyze five impact categories. Plant growth emerged as the process unit with the highest impact, particularly for the ozone depletion potential (ODP), with a value of 0.00056 kgCFC-11eq, and for photochemical oxidation (POCP), with a value of 0.0784 kgC2H4eq impact categories. Greenhouse climate management presented a significant impact to the acidification potential (AP), with a value of 1.021 kgSO2eq. Conversely, the phases of plant transplanting, harvesting, and crop disposal had positive impacts for all impact categories considered in the study, because they were very low. In conclusion, agriponic greenhouse tomato production is a sustainable process. This is due to fewer pesticides that are used, and to nutrient solution reuse.
The Coupling Coordination and Interaction Mechanism of Land Ecological Security and High-Quality Economic Development in the Beijing–Tianjin–Hebei Region
Authors: Guo Dongyan , Wang Dongyan , Zhong Xiaoyong , Yang Fan , Yang Yuanyuan , Jia Hansen
Published: November 2023

Land ecological security (LES) and high-quality economic development (HED) are mutually influential. China has three world-class urban agglomerations; the Beijing–Tianjin–Hebei (BTH) region is one of them. It is an important platform for participating in international competition and cooperation. To promote regional sustainable development, it is critical to study the coupling coordination and interaction mechanism of LES–HED subsystems over time and space in the BTH region. This study involved the construction of an aggregated index system to obtain a comprehensive understanding of the subsystems, and then investigated the coupling coordination degree (CCD) of the LES–HED subsystems from 2007 to 2018 using a CCD model. Additionally, a panel vector autoregressive (PVAR) model was applied to analyze the interactive mechanism of the LES–HED subsystems. Finally, a model of the degree of relative development was used to classify the types of regional development. The results showed that the CCD of the LES–HED subsystems in the BTH region had significant spatial and temporal differences. The spatial distribution could be characterized as low in the central area and high in the peripheral area, and the evolutionary law of CCD in the system was from lower to higher levels over time. In addition, improvements in LES promoted HED, but the impact of HED on LES was limited. The development patterns within the cities of the study area included three development types, including an slightly lagging type of LES, a slightly lagging type of HED, and a significantly lagging type of HED. Given the spatial variability of the coupled and coordinated development of LES–HED subsystems, it is necessary to implement different development strategies. This study can inform decisions promoting the coordinated development of LES–HED subsystems for sustainable regional development.
Development and Analysis of Optimization Algorithm for Demand-Side Management Considering Optimal Generation Scheduling and Power Flow in Grid-Connected AC/DC Microgrid
Authors: Barnawi Abdulwasa Bakr
Published: November 2023

The world energy sector is experiencing many challenges, such as maintaining a demand–supply balance with continuous increases in demand, reliability issues, and environmental concerns. Distributed energy resources (DERs) that use renewable energy sources (RESs) have become more prevalent due to environmental challenges and the depletion of fossil fuel reserves. An increased penetration of RESs in a microgrid system facilitates the establishment of a local independent system. However, these systems, due to the uncertainties of RESs, still encounter major issues, like increased operating costs or operating constraint violations, optimal power management, etc. To solve these issues, this paper proposes a stochastic programming model to minimize the total operating cost and emissions and improve the operational reliability with the help of a generalized normal distribution optimization (GNDO). A day-ahead demand response is scheduled, aiming to shift loads to enhance RES utilization efficiency. Demand-side management (DSM) with RESs is utilized, and battery energy storage systems in low-voltage and medium-voltage microgrids are shown. Mathematical formulations of each element in the microgrids were performed. Optimal and consumer-friendly solutions were found for all the cases. Environmental concerns based on the amount of harmful emissions were also analyzed. The importance of demand response is demonstrated vividly. The aim is to optimize energy consumption and achieve optimum cost of operation via DSM, considering several security constraints. A comparative analysis of operating costs, emission values, and the voltage deviation was carried out to prove and justify their potential to solve the optimal scheduling and power flow problem in AC/DC microgrids.
The Association between Meteorological Drought and the State of the Groundwater Level in Bursa, Turkey
Authors: Vaheddoost Babak , Mohammadi Babak , Safari Mir Jafar Sadegh
Published: November 2023

This study addressed the intricate interplay between meteorological droughts and groundwater level fluctuations in the vicinity of Mount Uludag in Bursa, Turkey. To achieve this, an exhaustive analysis encompassing monthly precipitation records and groundwater level data sourced from three meteorological stations and eight groundwater observation points spanning the period from 2007 to 2018 was performed. Subsequently, this study employed the Standard Precipitation Index (SPI) and Standard Groundwater Level (SGL) metrics, meticulously calculating the temporal extents of drought events for each respective time series. Following this, a judicious application of both the Thiessen and Support Vector Machine (SVM) methodologies was undertaken to ascertain the optimal groundwater observation wells and their corresponding SGL durations, aligning them with SPI durations tied to the selected meteorological stations. The SVM technique, in particular, excelled in the identification of the most pertinent observation wells. Additionally, the Elman Neural Network (ENN) and its optimized version through the Firefly Algorithm (ENN-FA), demonstrated their prowess in accurately predicting SPI durations based on SGL durations. The results were favorable, as evidenced by the commendable performance metrics of the Normalized Root Mean Square Error (NRMSE), the Nash–Sutcliffe Efficiency (NSE), the product of the coefficient of determination and the slope of the regression line (bR2), and the Kling–Gupta Efficiency (KGE). Consequently, the favorable simulation results were construed as evidence supporting the presence of a discernible association between SGL and the duration of the SPI. As we substantiate the concordance between the temporal extent of meteorological droughts and the perturbations in groundwater levels, this unmistakably underscores the fact that the historical fluctuations in groundwater levels within the region were predominantly attributable to climatic influences, rather than being instigated by anthropogenic activities. Nevertheless, it is imperative to underscore that this revelation should not be misconstrued as an endorsement of future heedless exploitation of groundwater resources.