bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Influence of Geometric Structure Parameters of Eddy Current Testing Probe on Sensor Resolution
Authors: Song Mengmeng , Li Mengwei , Xiao Shungen , Ren Jihua
Published: July 2023

To study the influence of the geometric structure of the probe coil on the electromagnetic characteristics of the eddy current probe in the process of eddy current testing, based on the principle of eddy current testing, different probe coil models were established using finite element software. These geometric structure parameters include the difference between the inner and outer radius, thickness, and equivalent radius. The magnetic field distribution around the probe is simulated and analyzed under different parameters, and the detection performance of the probe is judged in combination with the change rate of the magnetic field around the probe coil. The simulation results show that at a closer position, increasing the difference between the inner and outer radii, reducing the thickness, and reducing the equivalent radius are beneficial to improve the resolution of the probe coil. At a far position, reducing the difference between the inner and outer radii, increasing the thickness, and reducing the equivalent radius are beneficial to improve the resolution of the probe coil. At the same time, the accuracy of the simulation data is verified by comparing the theoretical values with the simulated values under different conditions. Therefore, the obtained conclusions can provide a reference and basis for the optimal design of the probe structure.
An MMIC LNA for Millimeter-Wave Radar and 5G Applications with GaN-on-SiC Technology
Authors: Huang Chaoyu , Zhang Zhihao , Wang Xinjie , Liu Hailiang , Zhang Gary
Published: July 2023

This paper presents a monolithic microwave integrated circuit (MMIC) low noise amplifier (LNA) that is compatible with n257 (26.5–29.5 GHz) and n258 (24.25–27.5 GHz) frequency bands for fifth-generation mobile communications system (5G) and millimeter-wave radar. The total circuit size of the LNA is 2.5 × 1.5 mm2. To guarantee a trade-off between noise figure (NF) and small signal gain, the transmission lines are connected to the source of gallium nitride (GaN)-on-SiC high electron mobility transistors (HEMT) by analyzing the nonlinear small signal equivalent circuit. A series of stability enhancement measures including source degeneration, an RC series network, and RF choke are put forward to enhance the stability of designed LNA. The designed GaN-based MMIC LNA adopts hybrid-matching networks (MNs) with co-design strategy to realize low NF and broadband characteristics across 5G n257 and n258 frequency band. Due to the different priorities of these hybrid-MNs, distinguished design strategies are employed to benefit small signal gain, input-output return loss, and NF performance. In order to meet the testing conditions of MMIC, an impeccable system for measuring small has been built to ensure the accuracy of the measured results. According to the measured results for small signal, the three-stage MMIC LNA has a linear gain of 18.2–20.3 dB and an NF of 2.5–3.1 dB with an input–output return loss better than 10 dB in the whole n257 and n258 frequency bands.
Self-Enhanced Mixed Attention Network for Three-Modal Images Few-Shot Semantic Segmentation
Authors: Song Kechen , Zhang Yiming , Bao Yanqi , Zhao Ying , Yan Yunhui
Published: July 2023

As an important computer vision technique, image segmentation has been widely used in various tasks. However, in some extreme cases, the insufficient illumination would result in a great impact on the performance of the model. So more and more fully supervised methods use multi-modal images as their input. The dense annotated large datasets are difficult to obtain, but the few-shot methods still can have satisfactory results with few pixel-annotated samples. Therefore, we propose the Visible-Depth-Thermal (three-modal) images few-shot semantic segmentation method. It utilizes the homogeneous information of three-modal images and the complementary information of different modal images, which can improve the performance of few-shot segmentation tasks. We constructed a novel indoor dataset VDT-2048-5i for the three-modal images few-shot semantic segmentation task. We also proposed a Self-Enhanced Mixed Attention Network (SEMANet), which consists of a Self-Enhanced module (SE) and a Mixed Attention module (MA). The SE module amplifies the difference between the different kinds of features and strengthens the weak connection for the foreground features. The MA module fuses the three-modal feature to obtain a better feature. Compared with the most advanced methods before, our model improves mIoU by 3.8% and 3.3% in 1-shot and 5-shot settings, respectively, which achieves state-of-the-art performance. In the future, we will solve failure cases by obtaining more discriminative and robust feature representations, and explore achieving high performance with fewer parameters and computational costs.
A Safety Warning Model Based on IAHA-SVM for Coal Mine Environment
Authors: Li Zhen , Feng Feng
Published: July 2023

Coal is an important resource that is closely related to people’s lives and plays an irreplaceable role. However, coal mine safety accidents occur from time to time in the process of working underground. Therefore, this paper proposes a coal mine environmental safety early warning model to detect abnormalities and ensure worker safety in a timely manner by assessing the underground climate environment. In this paper, support vector machine (SVM) parameters are optimized using an improved artificial hummingbird algorithm (IAHA), and its safety level is classified by combining various environmental parameters. To address the problems of insufficient global exploration capability and slow convergence of the artificial hummingbird algorithm during iterations, a strategy incorporating Tent chaos mapping and backward learning is used to initialize the population, a Levy flight strategy is introduced to improve the search capability during the guided foraging phase, and a simplex method is introduced to replace the worst value before the end of each iteration of the algorithm. The IAHA-SVM safety warning model is established using the improved algorithm to classify and predict the safety of the coal mine environment as one of four classes. Finally, the performance of the IAHA algorithm and the IAHA-SVM model are simulated separately. The simulation results show that the convergence speed and the search accuracy of the IAHA algorithm are improved and that the performance of the IAHA-SVM model is significantly improved.
A New Vision Measurement Technique with Large Field of View and High Resolution
Authors: Li Yong , Liu Chenguang , You Xiaoyu , Liu Jian
Published: July 2023

The three-dimensional (3D) displacement resolution of conventional visual measurement systems can only reach tens of microns in cases involving long measuring distances (2.5 m) and large fields of view (1.5 m × 1.5 m). Therefore, a stereo vision measurement technology based on confocal scanning is proposed herein. This technology combines macroscopic visual measurement technology with confocal microscopic measurement technology to achieve a long measuring distance, a large field of view, and micron-level measuring resolution. First, we analyzed the factors affecting the 3D resolution of the visual system and developed a 3D resolution model of the visual system. Subsequently, we fabricated a prototype based on the resolution model and the proposed stereo vision measurement technology. The 3D displacement resolution measurement results in the full field of view show that the displacement resolutions of the developed equipment in the x-, y-, and z-directions can reach 2.5, 2.5, and 6 μm, respectively.
Halfway to Automated Feeding of Chinese Hamster Ovary Cells
Authors: Tomažič Simon , Škrjanc Igor
Published: July 2023

This paper presents a comprehensive study on the development of models and soft sensors required for the implementation of the automated bioreactor feeding of Chinese hamster ovary (CHO) cells using Raman spectroscopy and chemometric methods. This study integrates various methods, such as partial least squares regression and variable importance in projection and competitive adaptive reweighted sampling, and highlights their effectiveness in overcoming challenges such as high dimensionality, multicollinearity and outlier detection in Raman spectra. This paper emphasizes the importance of data preprocessing and the relationship between independent and dependent variables in model construction. It also describes the development of a simulation environment whose core is a model of CHO cell kinetics. The latter allows the development of advanced control algorithms for nutrient dosing and the observation of the effects of different parameters on the growth and productivity of CHO cells. All developed models were validated and demonstrated to have a high robustness and predictive accuracy, which were reflected in a 40% reduction in the root mean square error compared to established methods. The results of this study provide valuable insights into the practical application of these methods in the field of monitoring and automated cell feeding and make an important contribution to the further development of process analytical technology in the bioprocess industry.
Frequency-Domain Reverse-Time Migration with Analytic Green’s Function for the Seismic Imaging of Shallow Water Column Structures in the Arctic Ocean
Authors: Kang Seung-Goo , Jang U Geun
Published: July 2023

Seismic oceanography can provide a two- or three-dimensional view of the water column thermocline structure at a vertical and horizontal resolution from the multi-channel seismic dataset. Several seismic imaging methods and techniques for seismic oceanography have been presented in previous research. In this study, we suggest a new formulation of the frequency-domain reverse-time migration method for seismic oceanography based on the analytic Green’s function. For imaging thermocline structures in the water column from the seismic data, our proposed seismic reverse-time migration method uses the analytic Green’s function for numerically calculating the forward- and backward-modeled wavefield rather than the wave propagation modeling in the conventional algorithm. The frequency-domain reverse-time migration with analytic Green’s function does not require significant computational memory, resources, or a multifrontal direct solver to calculate the migration seismic images as like conventional reverse-time migration. The analytic Green’s function in our reverse-time method makes it possible to provide a high-resolution seismic water column image with a meter-scale grid size, consisting of full-band frequency components for a modest cost and in a low-memory environment for computation. Our method was applied to multi-channel seismic data acquired in the Arctic Ocean and successfully constructed water column seismic images containing the oceanographic reflections caused by thermocline structures of the water mass. From the numerical test, we note that the oceanographic reflections of the migrated seismic images reflected the distribution of Arctic waters in a shallow depth and showed good correspondence with the anomalies of measured temperatures and calculated reflection coefficients from each XCDT profile. Our proposed method has been verified for field data application and accuracy of imaging performance.
Identifying Current Feelings of Mild and Moderate to High Depression in Young, Healthy Individuals Using Gait and Balance: An Exploratory Study
Authors: Boolani Ali , Gruber Allison H. , Torad Ahmed Ali , Stamatis Andreas
Published: July 2023

Depressive mood states in healthy populations are prevalent but often under-reported. Biases exist in self-reporting of depression in otherwise healthy individuals. Gait and balance control can serve as objective markers for identifying those individuals, particularly in real-world settings. We utilized inertial measurement units (IMU) to measure gait and balance control. An exploratory, cross-sectional design was used to compare individuals who reported feeling depressed at the moment (n = 49) with those who did not (n = 84). The Quality Assessment Tool for Observational Cohort and Cross-sectional Studies was employed to ensure internal validity. We recruited 133 participants aged between 18–36 years from the university community. Various instruments were used to evaluate participants’ present depressive symptoms, sleep, gait, and balance. Gait and balance variables were used to detect depression, and participants were categorized into three groups: not depressed, mild depression, and moderate–high depression. Participant characteristics were analyzed using ANOVA and Kruskal–Wallis tests, and no significant differences were found in age, height, weight, BMI, and prior night’s sleep between the three groups. Classification models were utilized for depression detection. The most accurate model incorporated both gait and balance variables, yielding an accuracy rate of 84.91% for identifying individuals with moderate–high depression compared to non-depressed individuals.
Two-Photon Excited Fluorescence Lifetime Imaging of Tetracycline-Labeled Retinal Calcification
Authors: Hegde Kavita R. , Ray Krishanu , Szmacinski Henryk , Sorto Sharon , Puche Adam C. , Lengyel Imre , Thompson Richard B.
Published: July 2023

Deposition of calcium-containing minerals such as hydroxyapatite and whitlockite in the subretinal pigment epithelial (sub-RPE) space of the retina is linked to the development of and progression to the end-stage of age-related macular degeneration (AMD). AMD is the most common eye disease causing blindness amongst the elderly in developed countries; early diagnosis is desirable, particularly to begin treatment where available. Calcification in the sub-RPE space is also directly linked to other diseases such as Pseudoxanthoma elasticum (PXE). We found that these mineral deposits could be imaged by fluorescence using tetracycline antibiotics as specific stains. Binding of tetracyclines to the minerals was accompanied by increases in fluorescence intensity and fluorescence lifetime. The lifetimes for tetracyclines differed substantially from the known background lifetime of the existing natural retinal fluorophores, suggesting that calcification could be visualized by lifetime imaging. However, the excitation wavelengths used to excite these lifetime changes were generally shorter than those approved for retinal imaging. Here, we show that tetracycline-stained drusen in post mortem human retinas may be imaged by fluorescence lifetime contrast using multiphoton (infrared) excitation. For this pilot study, ten eyes from six anonymous deceased donors (3 female, 3 male, mean age 83.7 years, range 79–97 years) were obtained with informed consent from the Maryland State Anatomy Board with ethical oversight and approval by the Institutional Review Board.
Can Wearable Sensors Provide Accurate and Reliable 3D Tibiofemoral Angle Estimates during Dynamic Actions?
Authors: Ajdaroski Mirel , Esquivel Amanda
Published: July 2023

The ability to accurately measure tibiofemoral angles during various dynamic activities is of clinical interest. The purpose of this study was to determine if inertial measurement units (IMUs) can provide accurate and reliable angle estimates during dynamic actions. A tuned quaternion conversion (TQC) method tuned to dynamics actions was used to calculate Euler angles based on IMU data, and these calculated angles were compared to a motion capture system (our “gold” standard) and a commercially available sensor fusion algorithm. Nine healthy athletes were instrumented with APDM Opal IMUs and asked to perform nine dynamic actions; five participants were used in training the parameters of the TQC method, with the remaining four being used to test validity. Accuracy was based on the root mean square error (RMSE) and reliability was based on the Bland–Altman limits of agreement (LoA). Improvement across all three orthogonal angles was observed as the TQC method was able to more accurately (lower RMSE) and more reliably (smaller LoA) estimate an angle than the commercially available algorithm. No significant difference was observed between the TQC method and the motion capture system in any of the three angles (p < 0.05). It may be feasible to use this method to track tibiofemoral angles with higher accuracy and reliability than the commercially available sensor fusion algorithm.
Quantitative Visualization of Buried Defects in GFRP via Microwave Reflectometry
Authors: Wang Ruonan , Fang Yang , Gao Qianxiang , Li Yong , Yang Xihan , Chen Zhenmao
Published: July 2023

Glass fiber-reinforced polymer (GFRP) is widely used in engineering fields involving aerospace, energy, transportation, etc. If internal buried defects occur due to hostile environments during fabrication and practical service, the structural integrity and safety of GFRP structures would be severely undermined. Therefore, it is indispensable to carry out effective quantitative nondestructive testing (NDT) of internal defects buried within GFRP structures. Along with the development of composite materials, microwave NDT is promising in non-intrusive inspection of defects in GFRPs. In this paper, quantitative screening of the subsurface impact damage and air void in a unidirectional GFRP via microwave reflectometry was intensively investigated. The influence of the microwave polarization direction with respect to the GFRP fiber direction on the reflection coefficient was investigated by using the equivalent relative permittivity calculated with theoretical analysis. Following this, a microwave NDT system was built up for further investigation regarding the imaging and quantitative evaluation of buried defects in GFRPs. A direct-wave suppression method based on singular-value decomposition was proposed to obtain high-quality defect images. The defect in-plane area was subsequently assessed via a proposed defect-edge identification method. The simulation and experimental results revealed that (1) the testing sensitivity to buried defects was the highest when the electric-field polarization direction is parallel to the GFRP fiber direction; and (2) the averaged evaluation accuracy regarding the in-plane area of the buried defect reached approximately 90% by applying the microwave reflectometry together with the proposed processing methods.
Numerical Simulation Study on the Evolution Law of Stress and Crack in Coal Seam Hydraulic Fracturing
Authors: Yang Shouguo , Xu Ning , Zhang Xiaofei
Published: July 2023

Hydraulic fracturing as a conventional reservoir permeability enhancement technique can effectively increase the production of coalbed methane, and it is important to study the stress and crack evolution law to evaluate the effect of coalbed fracturing and optimize the construction process. To accurately derive the evolution characteristics of stress and the propagation form of cracks during hydraulic fracturing of coal seams, a numerical model of hydraulic fracturing was established based on a three-point bending test of coal samples using the finite-discrete element method (FDEM). Based on a coal seam in a mining area in southwest China, a hydraulic fracturing model was established, and the reliability of the numerical model was verified by comparing the numerical simulation with the analytical expression. The model was used to study the evolution of stress and cracks with time during hydraulic fracturing, and the influence of elastic modulus and permeability on the evolution of stress and cracks was investigated. The results show that stress and cracks in the process of hydraulic fracturing belong to a mutual feeding mechanism during evolution, and the effective permeability range of fracturing is an ellipse with the crack as the long axis enclosed by the effective stress field. The greater the elastic modulus of the coal seam, the greater the crack initiation pressure and the shorter the crack initiation time, and a coal seam with a high elastic modulus is more likely to form complex cracks. The change in coal seam permeability has little effect on the initiation pressure and initiation time, but the crack propagation path is obviously different, and a coal seam with low permeability is more favorable to hydraulic fracturing.
Morphodiversity as a Tool in Geoconservation: A Case Study in a Mountain Area (Pieniny Mts, Poland)
Authors: Bartuś Tomasz , Mastej Wojciech
Published: July 2023

Verification and delimitation of existing and new surface forms of nature conservation require objective tools that elevate the significance of the conducted evaluations. If our main goal is to preserve biodiversity, it can be ensured through challenging-to-implement practices of human neutrality towards the environment or activities promoting sustainable development that consider the provision of diverse abiotic habitat conditions. For mountainous areas, where the species diversity of plants and animals is strongly linked to the terrain morphology, an analysis of morphodiversity can provide valuable insights. This study examines the morphodiversity of the Pieniny Mts region (southern Poland) in fundamental fields using three mathematical models and various morphometric indicators. The evaluation of existing conservation forms and proposed changes in the analysis were dependent not solely on morphodiversity but also on its autocorrelation. Hot Spot Analysis and Local Indicator of Spatial Association methods were employed, investigating the intensity of spatial clustering of areas with low and high morphodiversity values. Areas with high morphodiversity clustering were defined as justifying legal protection, while those belonging to clusters of fields with low parameter values were considered not to require conservation. Additional insights were gained through the analysis of hot and cold spots, representing fields with high or low morphodiversity surrounded by clusters of fields with contrasting values. The conducted research allowed for the proposing of significant spatial changes for the Pieniny National Park and its adjacent areas to ensure the preservation of high morphodiversity and, consequently, biodiversity.
HUs Fleet Management in an Automated Container Port: Assessment by a Simulation Approach
Authors: Gattuso Domenico , Pellicanò Domenica Savia
Published: July 2023

Freight fleet management (FM) can be defined as an optimization process of freight vehicles scheduling and routing, aimed at reducing time, costs, energy, and environmental impacts. In the specialized literature, there are many FM studies. The focus of this paper is on the FM in the context of a container port to increase the productivity and pursue the sustainability of the logistics node improving the performance by using freight advanced handling units (HUs). The use of automated HUs reduces the time and costs of each port activity, eliminating timewasters and increasing safety; however, it requires advanced intelligent management. Moreover, the automation is in line with energy and environmental sustainability. The paper aims to assess the impacts due to the automation of HUs by using a simulation approach. After a framework of traditional and automated HUs, allowing to highlight their main characteristics, the work considers the organizational problems of a container port and introduces a methodological approach to manage the FM of HUs. Finally, the application to a real context is presented to compare the present configuration of a container port with some project scenarios, considering different levels of automation, as the partial and total replacements of traditional HUs with advanced/automated vehicles.
Consumer Information Search in Live-Streaming: Product Involvement and the Moderating Role of Scarcity Promotion and Impulsiveness
Authors: Guo Yuanyuan , Chen Xiaoting , Wang Chaoyou
Published: July 2023

While the literature acknowledges the impact of product involvement on consumer information search, little work discerns the boundary conditions of product involvement on information searching. Product involvement reflects an individual’s interest in an object because of its inherent values, necessity, and interest. This study investigates the combined moderating role of limited-quantity scarcity and personal impulsiveness in the relationship between product involvement and information search behavior. A survey experiment with 402 participants was conducted to test this hypotheses. The experiment in this study used a 2 (cognitive involvement: high vs. low) × 2 (affective involvement: high vs. low) × 2 (limited-quantity scarcity: high vs. low) between-subjects design. The results provided strong evidence that (1) cognitive involvement is positively associated with online information search, whereas affective involvement is not associated with online information search; (2) limited-quantity scarcity significantly weakens the impact of cognitive involvement on online information search, but it does not have an interaction effect with affective involvement on online information search; and (3) the three-way interaction among product involvement (i.e., cognitive involvement and affective involvement), limited-quantity scarcity, and impulsiveness on consumer information search is significant. This study extends the current information searching studies by uncovering personal impulsiveness and limited-quantity scarcity as boundary conditions that influence the effects of cognitive involvement and affective involvement on consumer information search. The findings can help stakeholders promote the sustainability of e-commerce live-streaming in practice.
The Effects of Climate Variability on Florida’s Major Water Resources
Authors: Haque Shama E.
Published: July 2023

Emerging changes in water availability in the U.S. state of Florida have been recognized as a combined result of human perturbations, natural variability, and climate change. Florida is particularly susceptible to the impacts of the sea level rise due to its extensive coastline, low elevation, and lack of topographic relief to promote drainage. Owing to the porous nature of the state’s aquifer systems, saltwater intrusion into coastal areas is an evolving threat. Additionally, anthropogenic intervention has increased the contribution of nutrients and sediments to many lakes, reservoirs, and rivers, subsequently causing eutrophication and sedimentation problems. The state is facing the challenges of ocean acidification head-on since, in many regions, groundwater aquifers are connected to coastal waters, where water circulates from land to sea through the underlying porous limestone. Additionally, as Earth’s atmosphere warms up, extreme weather events are expected to change the environmental fate of contaminants in the aquatic environment, and this, in turn, may impact the type and distribution of contaminants in source waters. This review paper highlights five major emerging themes that are of significance for sustainable long-term management of Florida’s water resources: (i) influences of changing climate on groundwater aquifers; (ii) implications of climate change on eutrophication; (iii) impacts of changing climate on the Everglades; (iv) climate-change influence on runoff and sediment loads; and (v) influence of ocean acidification on coastal water. The findings of this review indicate that, in the future, the changing global climate will likely alter numerous environmental conditions in Florida, and the resulting changes may impact the natural properties of the state’s fresh and coastal waters. The findings are expected to mobilize knowledge in support of the changing climate to assist Floridians to adapt to its effects.
Simulation and Machine Learning Investigation on Thermoregulation Performance of Phase Change Walls
Authors: Xiao Xin , Hu Qian , Jiao Huansong , Wang Yunfeng , Badiei Ali
Published: July 2023

The outdoor thermal environment can be regarded as a significant factor influencing indoor thermal conditions. The application of phase change materials (PCMs) to the building envelope has the potential to improve the heat storage performance of building walls and, therefore, effectively regulate the temperature variations of the inner surfaces of walls. COMSOL Multiphysics software was adopted firstly to perform the simulations on the thermoregulation performance of phase change wall; the time duration of the temperature at the internal side maintained within the thermal comfort range was used as a quantitative evaluation index of the thermoregulation effects. It was revealed from the simulation results that the time durations of thermal comfort were extended to 5021 s and 4102 s, respectively, when the brick walls were filled with two types of composite PCMs, namely eutectic hydrate (EHS, Na2CO3·10H2O and Na2HPO4·12H2O with the ratio of 4∶6)/5 wt.% BN and EHS/5 wt.% BN/7.5 wt.% expanded graphite (EG), under the conditions of 18 °C ambient temperature and 60 °C heating temperature at the charging stage. Both of them were longer than 3011 s, which corresponds to a pure brick wall. EHS/5 wt.% BN/7.5 wt.% EG exhibited better leakage prevention performance and, therefore, was a candidate for actual application, in comparison with EHS/5 wt.% BN. Then, a machine learning training process focused on the temperature control effects of phase change wall was carried out using a BP neural network, where the heating surface and ambient temperature were used as input variables and the time duration of indoor thermal comfort was the output variable. Finally, the learning deviation between the raw data and the results obtained from machine learning was within 5%, indicating that machine learning can accurately predict the temperature control effects of the phase change wall. The results of the simulations and machine learning can provide information and guidance for the advantages and potentials of PCMs of hydrate salts when being applied to the building envelope. In addition, the accurate prediction of machine learning demonstrated its application prospects to the research of phase change walls.
Bacterial Communities: Interaction to Abiotic Conditions under Effect of Anthropogenic Pressure
Authors: Vilkiene Monika , Mockeviciene Ieva , Kadziene Grazina , Karcauskiene Danute , Repsiene Regina , Auskalniene Ona
Published: July 2023

Relationships between different microorganisms’ groups and the soil environment are reversible, and the state of the soil and its provided services can also change the structure and abundance of microorganisms as well as that microorganisms can affect soil conditions. The aim of our research was to analyze the physical and chemical properties of differently formed agroecosystems, which are affected by different anthropogenic pressures and to compare how bacterial composition differ in totally different environments. It was established that different soil microorganisms’ physiological groups significantly correlated with chemical and physical soil properties: atmospheric nitrogen-fixing bacteria showed a positive correlation with soil pHKCl, Nsum, P2O5, and soil bulk density; meanwhile, soil porosity, and the K2O amount in the soil negatively affected the population of atmospheric nitrogen-fixing bacteria. The same tendencies were inherent to actinomycetes and ammonifying bacteria. Micromycetes showed a negative trend with soil pHKCl, showing that soils with lower pHKCl are characterized by a higher abundance of micromycetes. Analysis of the taxonomic diversity of soil microbes reveals that the bacterial communities were dominated by two main species of bacteria: Betaproteobacterium and Candidatus Saccharibacteria. Bacterial identification shows that the main bacterial species were the same in all analyzed sampling places despite the different anthropogenic activities, parent material, and other abiotic conditions. Only a few species were identified in different soil groups, and it may be assumed that those groups could be potential bioindicators for specific soil types, but more in depth research is needed to confirm this hypothesis.
Exploring the Factors Influencing the Impact of the COVID-19 Pandemic on Global Shipping: A Case Study of the Baltic Dry Index
Authors: Chang Cheng-Wen , Hsueh Ming-Hsien , Wang Chia-Nan , Huang Cheng-Chun
Published: July 2023

The outbreak of COVID-19 in 2020 resulted in notable disruptions to global shipping and the global economy. As a key indicator influenced by supply and demand conditions in the shipping industry, the Baltic Dry Index (BDI) serves as an early economic indicator for global economic production. Contrary to expectations of decline, the BDI has exhibited a substantial increase. This research paper aims to investigate the impact of the COVID-19 pandemic on global shipping through a comprehensive analysis of the BDI. The study incorporates data spanning from 2019 to 2021, encompassing the pre- and post-pandemic periods. It examines 13 independent variables, including raw material prices (such as iron ore prices), international scrap steel prices, energy prices, stock market indexes, international commodity price volatility (as represented by the Commodity Research Bureau Index), global port calls, and confirmed COVID-19 cases. The primary objective is to explore the factors influencing the BDI and how they were affected by the pandemic. The study employs stepwise regression to select variables and build models before and after the pandemic. The findings of this study elucidate the prominent factors that influence the BDI in different temporal contexts. Before the outbreak, the BDI was notably impacted by variables, including the US Dollar Index (positive relationship), Brent, Port Calls, and CRB Index. However, a discernible shift in the relative significance of these factors has been observed in the post-pandemic period. Specifically, the US Dollar Index now exhibits a negative relationship with the BDI, whereas variables such as Port Calls, Iron Price, Steel Scrap Price, and confirmed COVID-19 cases had attained heightened prominence in shaping the dynamics of the freight index. These findings underscored the dynamic nature of the factors influencing the BDI, particularly in light of the unique circumstances brought about by the COVID-19 pandemic.
Sustainable Development of Water Housing Using the Example of Poland: An Analysis of Scenarios
Authors: Miszewska Emilia , Niedostatkiewicz Maciej , Wiśniewski Radosław
Published: July 2023

At the turn of the 20th and 21st centuries, Polish cities began the process of returning to live by water. There is a growing interest in water reservoirs not only as places for recreation, but also as new areas suitable for living, at the very center of the city. Unfortunately, due to the lack of appropriate legal regulations, the dynamic development of floating homes (FHs) is starting to raise increasing concerns in Poland. Regardless of the potential direction of development in water construction in Poland (growth, stabilization, or regression), the question arises of “how to make the potential vision of the future of water construction in Poland consistent with the idea of sustainable development (SD)”. In order to try to answer this question, the authors of this publication indicate the future limitations of formulating a strategy for the development of houses on water in Poland, according to different domains of SD. These domains are the economic, socio-cultural, and environmental spheres. Using the states of surrounding scenarios method (SSSs for short), we developed future scenarios for FHs (an optimistic scenario, a pessimistic scenario, a surprise scenario, and the most probable scenario). Then, using five inferential methods, we defined the constraints that should be taken into account when strategizing for water construction in accordance with the values of SD.
Multi-Level Fuzzy Comprehensive Evaluation for Water Resources Carrying Capacity in Xuzhou City, China
Authors: Zhang Ying , Song Xiaomeng , Wang Xiaojun , Jin Zhifeng , Chen Feng
Published: July 2023

Water resources, as an essential natural resource, plays an irreplaceable role in the ecological environment, social economy, and human survival. Water resource carrying capacity (WRCC), as an important indicator of sustainable development, has been widely used to assess the capacity of water resources to support economic and social development. Using Xuzhou City as a case study, the sustainable capacity of water resources in the current (from 2012 to 2020) and future (projected scenarios in 2025 and 2030) stages were investigated by constructing a multi-level fuzzy-based evaluation model. The results indicated that the average WRCC score is 0.4388 in Xuzhou City, ranging from 0.2908 to 0.6330, with a significant decline in the score value of 0.4644 in 2019 but an apparent improvement in WRCC from 2012 to 2020. However, the continued pressure on water resources sustainable development is unchanged in Xuzhou, according to the projected assessment of WRCC in 2025 and 2030. Overall, the WRCC in Xuzhou City will be overloaded under future development scenarios, i.e., sustainable development mode (Scenario A), water conservation mode (Scenario B), rapid socioeconomic development mode (Scenario C), and adjustment of industrial structure mode (Scenario D). Thus, several measures, such as industrial restructuring and water conservation and utilization, should be conducted to enhance the carrying capacity of regional water resources and ensure the quality and sustainability of regional social and economic development. The results can provide a reference for the rational utilization of water resources in Xuzhou and are of some significance in promoting the city’s coordinated socioeconomic growth.
Determinants of Low-Carbon Logistics Capability Based on Dynamic fsQCA: Evidence from China’s Provincial Panel Data
Authors: Jiang Hang , Sun Taipeng , Zhuang Beini , Wu Jiangqiu
Published: July 2023

The fast-paced growth of the logistics industry has contributed significantly to China’s high-quality economic development. However, the growth of the logistics industry is frequently accompanied by high levels of pollution, carbon emissions, and energy consumption. How to increase low-carbon logistics capacity has emerged as a research hotspot under the dual carbon goals. This study used entropy weight TOPSIS to evaluate the low-carbon logistics capacity and dynamic fuzzy-set qualitative comparative analysis (fsQCA) to shed light on the antecedent conditions that influenced low-carbon logistics capability by using panel data from 30 Chinese provinces between 2008 and 2021. Based on the empirical results, several conclusions are drawn: (1) The comprehensive score show that while province low-carbon logistics capacity varies, most of them exhibit a general growing tendency in most provinces, where Beijing, Shanghai, Tianjin, Guangdong and Zhejiang rank among the top five. (2) Three configurations, digital empower capital intensive type, digital empower labor intensive type, and green ecology plus technology innovation type that lead to better low-carbon logistics capacity. Related policy recommendations are proposed, including strengthening the synergistic development of the digital economy and the logistics industry, promoting research and development of green and innovative technologies, and reinforcing the constraints of the dual-carbon target.
The Influence of Sustainability on Psychological Ownership in Services Based on Temporary Access
Authors: Raimundo Leonardo M. , Proença João F.
Published: July 2023

The search for solutions that address the issues related to sustainability and overconsumption seeks to create social and ecological value while also creating economic value for companies. The sharing economy has emerged as a viable solution. Nonetheless, it also has side effects that need to be addressed, namely, the loss of perceived ownership. This study seeks to respond to the question, “What is the role of sustainability in the relationship between psychological ownership and its antecedents?” By addressing it, the outcome of our research expands the literature on psychological ownership by employing variables related to sustainability (self-perception as a sustainable consumer, community, and personal connection to the sustainable positioning of the company) as moderators between psychological ownership and its precedent variables. Our paper contributes to knowledge of access-based services and consumer goods that have, until this moment, been limitedly investigated. Drawing upon prior research results about psychological ownership and variables related to sustainability, we employed a scenario-based self-report and evaluated the variables’ moderating effect on psychological ownership. We used SEM and smartPLS software. Our findings demonstrate the moderating effect of the (1) degree of intermediation of the platform, especially in the (2) low-intermediation scenario, and the (3) communal connection stemming from the sustainable position of the company. This paper contributes to the literature regarding intermediation and company positioning as variables with potential use in studies of psychological ownership, services, and, mainly, sustainability. Additionally, presents managers and marketeers the means to prevent the loss of perceived ownership while providing ways to leverage the sharing economy.
Risk Assessment and Zonation of Roof Water Inrush Based on the Analytic Hierarchy Process, Principle Component Analysis, and Improved Game Theory (AHP–PCA–IGT) Method
Authors: Zhao Baoxin , Liu Qimeng , Zhu Jingzhong
Published: July 2023

With the large-scale mining of deeply buried coal seams, the risk of roof water inrush increases during mining. In order to ensure safe mining, it is necessary to predict the risk potential of water inrush from the roof aquifer. This study introduces a coupling evaluation method, including the analytic hierarchy process (AHP), principal component analysis (PCA), and improved Game theory (IGT). This paper takes the water inrush from the roof aquifer of the 11-2 coal seam in Kouzidong mine as the research object. An evaluation index system is constructed by selecting six evaluation factors, including the aquitard effective thickness, aquiclude thickness, the ratio of sandstone to mudstone, rock quality designation, fault fractal dimension, and wash water quantity of geological log. The comprehensive weighting method based on IGT is used to optimize the subjective and objective weighting values obtained by AHP and PCA methods in turn, and an AHP–PCA–IGT evaluation model is established to divide and evaluate the water inrush risk zonation of the roof aquifer. The risk degree of the water inrush gradually decreases from the center to the north–south, and the main areas with relatively high risks and higher risks are distributed in a small part of the western and eastern regions. Finally, combining various drilling data examples, drilling pumping tests, and water inrush sites, the accuracy of the predicted results is validated through the vulnerability fitting percentage (VFP). The predictions are basically consistent with the actual results, and this study lays a theoretical foundation for the prevention and control of water inrush hazards.
Distributed Traffic Control Based on Road Network Partitioning Using Normalization Algorithm
Authors: Ji Ke , Tang Jinjun , Li Min , Hu Cheng
Published: July 2023

With continuous economic development, most urban road networks are facing unprecedented traffic congestion. Centralized traffic control is difficult to achieve, and distributed traffic control based on partitioning a road network into subnetworks is a promising way to alleviate traffic pressure on urban roads. In order to study the differences between different partitioning methods chosen for distributed traffic control, we used the normalization algorithm to partition a part of the road network in Changsha City, and we used the results of the Girvan–Newman algorithm and the manual empirical partitioning method as a control group. Meanwhile, an abstract road network was constructed using VISSIM simulation software based on realistic road network parameters. And then, the different partitioning results were applied to the simulated road network to analyze the control effect. The results of the simulation software show that different partitioning methods have different effects on traffic control at subnetwork boundaries and improve traffic pressure to different degrees. Partitioning the road network into four subnetworks provided the greatest degree of traffic improvement. Overall, the proposed distributed traffic control method effectively improved operational efficiency and alleviated the traffic pressure of the road network.
A Cross-Layer Media Access Control Protocol for WBANs
Authors: Zheng Linfeng , Hu Juncheng , Jiao Yingjun
Published: July 2023

Wireless body area network (WBAN) is an emerging comprehensive technology that can deeply integrate with e-health and smart sports. As a wearable network, improving the quality of network service and user experience is crucial. Due to the miniaturized design of sensors, their available energy from batteries is limited, making the extension of their lifetime a key research challenge. Existing studies have proposed methods to improve energy efficiency, but there are still limitations in addressing dynamic adaptive aspects of differential energy distribution and channel conditions. In order to further extend the lifetime of sensor nodes and networks while ensuring quality of service, and to provide a reliable transmission mechanism for heterogeneous application data, this paper presents a cross-layer optimized MAC protocol mechanism. The protocol takes into account the transmission requirements of different types of data and redesigns the superframe. To improve the lifetime of nodes, we propose an energy-adaptive adjustment mechanism considering the channel conditions. At the same time, a cooperative transmission mechanism is proposed to further enhance network lifetime. In experiments conducted on two typical networks, compared to IEEE 802.15.6, the power adjustment scheme improves the network lifetime by 2.8 to 3.7 times, and the cooperative mechanism between nodes further increases the network lifetime by 17% to 44%. Our proposed scheme effectively extends the network lifetime while ensuring quality of service, avoiding frequent battery resets for users, and effectively improving the user experience quality.
The Mt. Catria–Mt. Nerone Ridge in the North-Marchean Apennines (Central Italy): A Potential Geopark?
Authors: Valentini Laura , Guerra Veronica , Nesci Olivia
Published: July 2023

The inventory and evaluation of geosites are fundamental steps of any geoconservation strategies and in setting priorities for the management of protected areas. The North-Marchean Apennines (central Italy) host an extraordinary geoheritage, making its use by society worthwhile and meaningful (e.g., teaching/learning, tourism, and recreation). An area of 600 square kilometres embracing 18 municipalities, mainly distributed along the Mt. Catria–Mt. Nerone ridge, is home to numerous spectacular geosites. The purpose of this study is to analyze the environmental heritage of the North-Marchean Apennines through the recognition, selection, and description of an extensive list of geosites, with a view to providing useful data for the establishment of a possible geopark discussed in the context of a region that is rich in protected areas. Among these, seven geosites were chosen as representative of the area and were processed through a quantitative evaluation method. The calculated Q-values are indicative of geosites of high significance and well represent the great variety and strong potential of this area. The seven geosites, witnesses of sites with a high aesthetic value, are framed from a geological and geomorphological point of view, without neglecting the additional values that make these localities particularly attractive for geotouristic and educational purposes. The study area is finally framed in the context of the region’s protected areas, with a view to the conservation and enhancement of its environmental heritage.