bluuebunny/crossref_metadata_2025 huggingface dataset:
Toward Converged Satellite/Fiber 1550 nm DS-BB84 QKD Networks: Feasibility Analysis and System Requirements
Authors: Stathis Aristeidis , Ntanos Argiris , Lyras Nikolaos K. , Giannoulis Giannis , Panagopoulos Athanasios D. , Avramopoulos Hercules
Published: June 2024

Satellite-based QKD is currently being developed to revolutionize global cryptographic key exchange by facilitating secure communication among remote parties at a global scale. By overcoming the exponential loss of fiber transmission, satellite-to-Earth communication can seamlessly interconnect vast distances as the link budget of such links is sufficient to support QKD links. In terms of this direction, DV-QKD implementations seems to be technologically ahead since key exchange has been experimentally demonstrated to perform much more efficiently by providing key rates that are orders of magnitude higher compared to entanglement-based key exchange. However, the specific requirements to support effectively functional DV-QKD satellite-to-ground links are yet to be defined. This work attempts to define the satellite and ground segment system requirements needed in order to achieve functional QKD service for various satellites orbits (LEO, MEO, and GEO). Finite key size effects are being considered to determine the minimum block sizes that are required for secure key generation between a satellite node and a ground terminal for a single satellite pass. The atmospheric link channel is modeled with consideration of the most important degradation effects such as turbulence and atmospheric and pointing loss. Critical Tx and Rx system parameters, such as the source’s intrinsic Quantum Bit Error Rate (iQBER), the Rx telescope aperture size, and detection efficiency, were investigated in order to define the minimum requirements to establish an operation satellite-to-ground QKD link under specific assumptions. The performance of each downlink scenario was evaluated for the wavelength of 1550 nm in terms of link availability, link budget, and in the distilling of secure key volumes over time. Finally, the feasibility and requirements for distributing the collected space photons via terrestrial telecom fibers was also studied and discussed, leading to the proposal of a more futuristic WDM-enabled satellite QKD architecture. This comprehensive analysis aims to contribute to the advancement and implementation of effective satellite-based QKD systems, which can further exploit the ground fiber segment to realize converged space/terrestrial QKD networks.
Foliar Application of Chitosan (CTS), γ-Aminobutyric Acid (GABA), or Sodium Chloride (NaCl) Mitigates Summer Bentgrass Decline in the Subtropical Zone
Authors: Cheng Bizhen , Zhou Qinyu , Li Linju , Hassan Muhammad Jawad , Zeng Weihang , Peng Yan , Li Zhou
Published: June 2024

Creeping bentgrass (Agrostis stolonifera) is an excellent cool-season turfgrass that is widely used in urban gardening, landscaping, and golf turf. Triennial field experiments from 2017 to 2019 were conducted to investigate effects of the foliar application of chitosan (CTS), γ-aminobutyric acid (GABA), or sodium chloride (NaCl) on mitigating summer bentgrass decline (SBD) and exploring the CTS, GABA, or NaCl regulatory mechanism of tolerance to summer heat stress associated with changes in chlorophyll (Chl) loss and photosynthetic capacity, osmotic adjustment (OA), oxidative damage, and cell membrane stability. The findings demonstrated that persistent ambient high temperatures above 30 °C during the summer months of 2017, 2018, and 2019 significantly reduced the turf quality (TQ), Chl content, photochemical efficiency of PSII (Fv/Fm and PIABS), leaf relative water content, and osmotic potential (OP) but significantly increased electrolyte leakage (EL) and the accumulations of free proline, water-soluble carbohydrate (WSC), hydrogen peroxide (H2O2), and malondialdehyde (MDA). The foliar application of CTS, GABA, or NaCl could significantly alleviate SBD, as reflected by improved TQ and delayed Chl loss during hot summer months. Heat-induced declines in Fv/Fm, PIABS, the net photosynthetic rate (Pn), the transpiration rate (Tr), and water use efficiency (WUE) could be significantly mitigated by the exogenous application of CTS, GABA, or NaCl. In addition, the foliar application of CTS, GABA, or NaCl also significantly improved the accumulations of free proline and WSC but reduced the EL, OP, and H2O2 content and the MDA content in leaves of creeping bentgrass in favor of water and redox homeostasis in summer. Based on the comprehensive evaluation of the subordinate function value analysis (SFVA), the CTS had the best effect on the mitigation of SBD, followed by GABA and NaCl in 2017, 2018, and 2019. The current study indicates that the foliar application of an appropriate dose of GABA, CTS, or NaCl provides a cost-effective strategy for mitigating SBD.
A Novel Method for the Preparation of Casein–Fucoidan Composite Nanostructures
Authors: Zahariev Nikolay , Pilicheva Bissera
Published: June 2024

The aim of the study was to develop casein–fucoidan composite nanostructures through the method of polyelectrolyte complexation and subsequent spray drying. To determine the optimal parameters for the preparation of the composite structures and to investigate the influence of the production and technological parameters on the main structural and morphological characteristics of the obtained structures, 3(k-p) fractional factorial design was applied. The independent variables (casein to fucoidan ratio, glutaraldehyde concentration, and spray intensity) were varied at three levels (low, medium, and high) and their effect on the yield, the average particle size, and the zeta potential were evaluated statistically. Based on the obtained results, models C1F1G1Sp.30, C1F1G2Sp.40, and C1F1G3Sp.50, which have an average particle size ranging from (0.265 ± 0.03) µm to (0.357 ± 0.02) µm, a production yield in the range (48.9 ± 2.9) % to (66.4 ± 2.2) %, and a zeta potential varying from (−20.12 ± 0.9) mV to (−25.71 ± 1.0) mV, were selected as optimal for further use as drug delivery systems.
A Circular Bioeconomy Approach to Using Post-Bioadsorbent Materials Intended for the Removal of Domestic Wastewater Contaminants as Potential Reinforcements
Authors: Almeida-Naranjo Cristina E. , Aguilar Alex Darío , Valle Vladimir , Bastidas-Caldes Carlos , Debut Alexis , Sinchiguano Britanny
Published: June 2024

Agro-industrial residue valorization under the umbrella of the circular bioeconomy (CBE) has prompted the search for further forward-thinking alternatives that encourage the mitigation of the industry’s environmental footprint. From this perspective, second-life valorization (viz., thermoplastic composites) has been explored for agro-industrial waste (viz., oil palm empty fruit bunch fibers, OPEFBFs) that has already been used previously in other circular applications (viz., the removal of domestic wastewater contaminants). Particularly, this ongoing study evaluated the performance of raw residues (R-OPEFBFs) within three different size ranges (250–425, 425–600, 600–800 µm) both before and after their utilization in biofiltration processes (as post-adsorbents, P-OPEFBFs) to reinforce a polymer matrix of acrylic resin. The research examined the changes in R-OPEFBF composition and morphology caused by microorganisms in the biofilters and their impact on the mechanical properties of the composites. Smaller R-OPEFBFs (250–425 µm) demonstrated superior mechanical performance. Additionally, the composites with P-OPEFBFs displayed significant enhancements in their mechanical properties (3.9–40.3%) compared to those with R-OPEFBFs. The combination of the three fiber sizes improved the mechanical behavior of the composites, indicating the potential for both R-OPEFBFs and P-OPEFBFs as reinforcement materials in composite applications.
New Chitosan-Based Co-Delivery Nanosystem for Diabetes Mellitus Therapy
Authors: Lupascu Florentina Geanina , Sava Alexandru , Tătărușanu Simona-Maria , Iacob Andreea-Teodora , Dascălu Andrei , Profire Bianca-Ștefania , Vasincu Ioana-Mirela , Apotrosoaei Maria , Gîscă Tudor-Cătălin , Turin-Moleavin Ioana-Andreea , Profire Lenuta
Published: June 2024

Type 2 diabetes mellitus (T2DM) is one of the most common metabolic disorders, with a major involvement of oxidative stress in its onset and progression. Pioglitazone (Pio) is an antidiabetic drug that mainly works by reducing insulin resistance, while curcumin (Cur) is a powerful antioxidant with an important hypoglycemic effect. Both drugs are associated with several drawbacks, such as reduced bioavailability and a short half-life time (Pio), as well as instability and poor water solubility (Cur), which limit their therapeutic use. In order to overcome these disadvantages, new co-delivery (Pio and Cur) chitosan-based nanoparticles (CS-Pio-Cur NPs) were developed and compared with simple NPs (CS-Pio/CS-Cur NPs). The NPs were characterized using dynamic light scattering (DLS), transmission electron microscopy (TEM), X-ray diffraction (XRD), and Fourier-transform infrared spectroscopy (FTIR). In addition, the entrapment efficiency (EE) and loading capacity (LC), as well as the release profile, of the APIs (Pio and Cur) from the CS-APIs NPs in simulated fluids (SGF, SIF, and SCF) were also assessed. All the CS-APIs NPs presented a small particle size (PS) (211.6–337.4 nm), a proper polydispersity index (PI) (0.104 and 0.289), and a positive zeta potential (ZP) (21.83 mV–32.64 mV). Based on the TEM results, an amorphous state could be attributed to the CA-APIs NPs, and the TEM analysis showed a spherical shape with a nanometric size for the CS-Pio-Cur NPs. The FT-IR spectroscopy supported the successful loading of the APIs into the CS matrix and proved some interactions between the APIs and CS. The CS-Pio-Cur NPs presented increased or similar EE (85.76% ± 4.89 for Cur; 92.16% ± 3.79 for Pio) and LC% (23.40% ± 1.62 for Cur; 10.14% ± 0.98 for Pio) values in comparison with simple NPs, CS-Cur NPs (EE = 82.46% ± 1.74; LC = 22.31% ± 0.94), and CS-Pio NPs (EE = 93.67% ± 0.89; LC = 11.24% ± 0.17), respectively. Finally, based on the release profile results, it can be appreciated that the developed co-delivery nanosystem, CS-Pio-Cur NPs, assures a controlled and prolonged release of Pio and Cur from the polymer matrix along the GI tract.
Comparison of Lignocellulose Nanofibrils Extracted from Bamboo Fibrous and Parenchymal Tissues and the Properties of Resulting Films
Authors: Zhang Xiaofeng , Li Jingpeng , Bao Gege , Qin Daochun , Jin Xiaobei
Published: June 2024

Bamboo is composed of thick-walled fibrous tissue and thin-walled parenchymal tissue. To compare the energy consumption of preparing lignocellulose nanofibrils (LCNF) from these bamboo tissues, the crystallinity, sol. viscosity, morphology and mechanical properties of LCNF at different preparation stages were characterized in detail. It required at least nine homogenization cycles for dissociating the fibrous tissue, but only six cycles for the parenchymal tissue. The average diameter of LCNF isolated from fibrous and parenchymal tissues was 45.1 nm and 36.2 nm, respectively. The tensile strength of the LCNF film prepared from parenchymal tissue reached 142.46 MPa, whereas the film from fibrous tissue reached only 122.82 MPa. Additionally, a metal organic framework (MOF) was used to produce MOF-LCNF film with enhanced UV protection and antibacterial properties. The results indicated that the energy consumption for preparing LCNF from parenchymal tissue is significantly lower than that for preparing LCNF from fibrous tissue. This study offers a low-cost and eco-friendly method for preparing LCNF, promoting the precise utilization of different tissues from bamboo based on their unique characteristics.
Low-Velocity Impact of Clamped Rectangular Sandwich Tubes with Fiber Metal Laminated Tubes
Authors: Wang Yao , Zhang Jianxun , Guo Hui , Yuan Hui
Published: June 2024

Fiber metal laminated sandwich tubes are made up of alternating fiber-reinforced composite and metal layers. Fiber metal laminated tubes have the advantages of the high strength and high stiffness of fiber and the toughness of metal, so they have become an excellent load-bearing and energy-absorbing, lightweight structure. Due to the complexity of the fiber layup, it is difficult to establish an analytical model of the relevant structural properties. In this work, introducing the number and volume fraction of fiber layup, based on the modified rigid–plastic model, an analytical model is established for low-velocity impacts on sandwich tubes with fiber metal laminated tubes, which provided a theoretical basis for the design of fiber–metal composite tubes. In addition, a numerical simulation was conducted for low-velocity impacts on clamped rectangular sandwich tubes with fiber metal laminated (FML) tubes and a foam core. By comparing the results obtained from the theoretical analysis and numerical calculations, it is shown that the analytical results can reasonably agree with the numerical results. The influences of the metal volume fraction (MVF), the strength ratio factor of the FML metal layer to the FML composite layer, and the relative strength of the foam on the dynamic response of the rectangular sandwich tubes with FML tubes and a metal foam core (MFC) are discussed. It is shown that by increasing the fiber content and fiber strength of the FML tubes and the foam strength, the load-carrying and energy-absorbing capacity of the rectangular sandwich tubes can be effectively improved, especially by changing the fiber properties. In addition, present analytical solutions can be applied to make predictions about the dynamic response of the rectangular sandwich tubes with FML tubes and MFC during impacts with low-velocity and reasonably heavy-mass.
Dispersion Characteristics, the Mechanical, Thermal Stability, and Durability Properties of Epoxy Nanocomposites Reinforced with Carbon Nanotubes, Graphene, or Graphene Oxide
Authors: Mirzapour Miraidin , Cousin Patrice , Robert Mathieu , Benmokrane Brahim
Published: June 2024

Carbon-based nanoparticles (CBNs) are regarded as promising nanofillers in nanocomposites to produce high-performance fiber-reinforced polymers (FRPs). To date, no systematic investigations have been carried out on the structural variations of nanofillers and their influences on dispersion characteristics, which give nanocomposites their mechanical and durability properties. Moreover, environmentally unfriendly organic solvents are used to exfoliate and disperse CBNs in a polymer matrix. This study developed a green, easy approach to preparing epoxy/CBN nanocomposites. We demonstrated graphene oxide’s (GO) effective dispersion capacity, creating good interface interaction that dramatically influenced properties at loadings as low as 0.4 wt%. The tensile strength and toughness of the epoxy increased by about 49%; and 160%, respectively. Incorporating 0.4 wt% of multi-wall carbon nanotubes (MWCNTs), graphene nanoplates (GNPs), or GO into the epoxy increased the modulus storage by around 17%, 25%, and 31%, respectively. Fractography analysis of fracture surfaces indicated the primary reinforcing mechanisms (crack deflection and penning) as well as the secondary mechanism (bridging effect) enhancing the mechanical characteristics of nanocomposites. Incorporating GNPs, GO, or MWCNTs into the epoxy decreased the water absorption at saturation by about 26%, 22%, and 16%, respectively.
Evaluation of Shear Bond Strengths of 3D Printed Materials for Permanent Restorations with Different Surface Treatments
Authors: Kim Mijoo , Lee Jimin , Park Chan , Jo Deukwon , Yu Bo , Khalifah Shahed Al , Hayashi Marc , Kim Reuben H.
Published: June 2024

The development of high-filled 3D printing resin necessitates a bonding protocol for dental indirect restorations to achieve optimal bond strength after cementation. This study evaluates shear bond strengths of high-filler 3D printed materials for permanent restorations with various surface treatments. Rodin Sculpture 1.0 (50% lithium disilicate fillers) and 2.0 Ceramic Nanohybrid (>60% zirconia and lithium disilicate fillers) were tested, with Aelite All-Purpose Body composite resin as control. Samples were prepared, post-cured, and sandblasted with alumina (25 µm). Surface roughness was analyzed using an optical profilometer. Two bonding protocols were compared. First, groups were treated with lithium disilicate silane (Porcelain Primer) or zirconia primer (Z-Prime Plus) or left untreated without a bonding agent. Beam-shaped resin cement (DuoLink Universal) specimens were bonded and stored in a 37 °C water bath. Second, additional sets of materials were coated with a bonding agent (All-Bond Universal), either followed by silane application or left untreated. These sets were then similarly stored alongside resin cement specimens. Shear bond tests were performed after 24 h. SEM images were taken after debonding. One-Way ANOVA and post hoc Duncan were performed for the statistical analysis. Rodin 1.0 exhibited increased adhesive failure with silane or zirconia primer coating, but significantly improved bond strengths with bonding agent application. Rodin 2.0 showed consistent bond strengths regardless of bonding agent application, but cohesive failure rates increased with bonding agent and filler coating. In all groups, except for Rodin 1.0 without bonding agent, silane coating increased cohesive failure rate. In conclusion, optimal shear bond strength for high-filler 3D printing materials can be achieved with silane coating and bonding agent application.
Thermostable α-Amylases and Laccases: Paving the Way for Sustainable Industrial Applications
Authors: Jaiswal Nivedita , Jaiswal Pundrik
Published: June 2024

The growing demand in industrial and biotechnological settings for more efficient enzymes with enhanced biochemical features, particularly thermostability and thermotolerance, necessitates a timely response. Renowned for their versatility, thermostable enzymes offer significant promise across a range of applications, including agricultural, medicinal, and biotechnological domains. This comprehensive review summarizes the structural attributes, catalytic mechanisms, and connection between structural configuration and functional activity of two major classes of thermostable enzymes: α-amylases and laccases. These enzymes serve as valuable models for understanding the structural foundation behind the thermostability of proteins. By highlighting the commercial importance of thermostable enzymes and the interest these generate among researchers in further optimization and innovation, this article can greatly contribute to ongoing research on thermostable enzymes and aiding industries in optimizing production processes via immobilization, use of stabilizing additives, chemical modification, protein engineering (directed evolution and mutagenesis), and genetic engineering (through cloning and expression of thermostable genes). It also gives insights to the exploration of suitable strategies and factors for enhancing thermostability like increasing substrate affinity; introducing electrostatic, intramolecular, and intermolecular hydrophobic interactions; mitigating steric hindrance; increasing flexibility of an active site; and N- and C-terminal engineering, thus resulting in heightened multipronged stability and notable enhancements in the enzymes’ industrial applicability.
Religious Nones and Spirituality: A Comparison between Italian and Uruguayan Youth
Authors: Breskaya Olga , Pereira Arena Valentina
Published: June 2024

Who are the religious Nones, given their representation as both a minority and a majority group within the religious landscape? This article presents findings from a comparative study of Italian and Uruguayan youth (n = 2047, with 844 Nones), focusing on sociodemographic profiles of “Nones”, their spirituality, religious belief, practice, and atheist and agnostic identities. The findings suggest that regardless of cultural context—whether in predominantly Catholic Italy or more secular Uruguay—young “Nones” tend to be males, hold beliefs, and engage in religious practices, albeit with varying degrees. Among participants in this study, those originating from Uruguay exhibit a stronger degree of belief and slightly more pronounced engagement in private prayer and attendance of religious services compared to their counterparts from Italy. Additionally, the endorsement of spiritual identity is notably stronger among religious Nones in the Uruguayan sample than in the Italian one. Instead, atheism is more prevalent among Italian Nones, whereas agnosticism constitutes a larger proportion within the Uruguayan sample.
Rethinking Asceticism in Nietzsche with Zhuangzi: A Physio-Psychological Perspective
Authors: Li Manhua
Published: June 2024

This article proposes a reconsideration of the physio-psychological dimension of the notion of asceticism in Nietzsche in the light of classical Daoist philosophy. Nietzsche famously criticises the nihilistic ascetic ideal for negating the body-self (Leib-Selbst) in the Christian religion as well as in Socratic metaphysics. Nietzsche critiques the metaphysical language that presupposes an opposition between the good (as the useful) and the evil (as the useless). However, the Nietzschean ascetic person who says yes to life remains mostly conceptual within the philosophical framework where physio-psychology stands as the superior form of thinking. To contrast such asceticism that bears traces of Greek Stoicism and Epicureanism, I argue that Zhuangzi’s self-cultivating practices such as mind-fasting (xinzhai 心齋) can be incorporated into the Nietzschean physio-psychological notion of asceticism that goes beyond askesis with Stoic and Epicurean therapeutic connotations, given that both Zhuangzi and Nietzsche are more concerned with cultivating a lived body rather than purifying souls.
An Ethics without God That Is Compatible with Darwinian Evolution
Authors: Sterba James P.
Published: June 2024

Building on my recent argument that an all-good, all-powerful God is logically incompatible with all the evil in the world, I explore what grounding ethics can have without the God of traditional theism. While theists have argued that ethics is grounded either in God’s commands and/or in his nature, I show that no such adequate grounding exists, even if my argument—showing that the God of traditional theism is logically incompatible with all the evil in the world—were shown to be unsuccessful, and I further show that such a grounding is impossible, given that my argument is successful. I then go on to provide an account of the norms on which an ethics without God can be appropriately grounded and show how an ethics, so grounded, can be appropriately related to our biological and cultural past, present, and future, as understood through Darwinian evolutionary theory. In this way, I hope to undercut a recent attempt to use Darwinian evolutionary theory to debunk ethics.
Simulation of Spectral Albedo and Bidirectional Reflectance over Snow-Covered Urban Canyon: Model Development and Factor Analysis
Authors: Chen Qi-Xiang , Gao Zi-Yi , Huang Chun-Lin , Dong Shi-Kui , Lin Kai-Feng
Published: June 2024

A critical comprehension of the impact of snow cover on urban bidirectional reflectance is pivotal for precise assessments of energy budgets, radiative forcing, and urban climate change. This study develops a numerical model that employs the Monte Carlo ray-tracing technique and a snow anisotropic reflectance model (ART) to simulate spectral albedo and bidirectional reflectance, accounting for urban structure and snow anisotropy. Validation using three flat surfaces and MODIS data (snow-free, fresh snow, and melting snow scenarios) revealed minimal errors: the maximum domain-averaged BRDF bias was 0.01% for flat surfaces, and the overall model-MODIS deviation was less than 0.05. The model’s performance confirmed its accuracy in reproducing the reflectance spectrum. A thorough investigation of key factors affecting bidirectional reflectance in snow-covered urban canyons ensued, with snow coverage found to be the dominant influence. Urban coverage, building height, and soot pollutant concentration significantly impact visible and infrared reflectance, while snow grain size has the greatest effect on shortwave infrared. The bidirectional reflectance at backward scattering angles (0.5–0.6) at 645 nm is lower than forward scattering (around 0.8) in the principal plane as snow grain size increases. These findings contribute to a deeper understanding of snow-covered urban canyons’ reflectance characteristics and facilitate the quantification of radiation interactions, cloud-snow discrimination, and satellite-based retrieval of aerosol and snow parameters.
A Two-Step Phase Compensation-Based Imaging Method for GNSS-Based Bistatic SAR: Extraction and Compensation of Ionospheric Phase Scintillation
Authors: Tang Tao , Wang Pengbo , Chen Jie , Yao Huguang , Ren Ziheng , Zhao Peng , Zeng Hongcheng
Published: June 2024

The GNSS-based bistatic SAR (GNSS-BSAR) system has emerged as a hotspot due to its low power consumption, nice concealment, and worldwide reach. However, the weak landing power density of the GNSS signal often necessitates prolonged integration to achieve an adequate signal-to-noise ratio (SNR). In this case, the effects of the receiver’s time-frequency errors and atmospheric disturbances are significant and cannot be ignored. Therefore, we propose an ionospheric scintillation compensation-based imaging scheme for dual-channel GNSS-BSAR system. This strategy first extracts the reference phase, which contains the ionospheric phase scintillation and other errors. Subsequently, the azimuth phase of the target is divided into difference phase and reference phase. We apply the two-step phase compensation to eliminate Doppler phase errors, thus achieving precise focusing of SAR images. Three sets of experiments using the GPS L5 signal as the illuminator were conducted, coherently processing a 1.5 km by 0.8 km scene about 300 s. The comparative results show that the proposed method exhibited better focusing performance, avoiding the practical challenges encountered by traditional autofocus algorithms. Additionally, ionospheric phase scintillation extracted at different times of the day suggest diurnal variations, preliminary illustrating the potential of this technology for ionospheric-related studies.
Advancing Regional–Scale Spatio–Temporal Dynamics of FFCO2 Emissions in Great Bay Area
Authors: Zhao Jing , Zhao Qunqun , Huang Wenjiang , Li Guoqing , Wang Tuo , Mou Naixia , Yang Tengfei
Published: June 2024

Estimating city–scale emissions using gridded inventories lacks direct, precise measurements, resulting in significant uncertainty. A Kalman filter integrates diverse, uncertain information sources to deliver a reliable, accurate estimate of the true system state. By leveraging multiple gridded inventories and a Kalman filter fusion method, we developed an optimal city–scale (3 km) FFCO2 emission product that incorporates quantified uncertainties and connects global–regional–city scales. Our findings reveal the following: (1) Kalman fusion post–reconstruction reduces estimate uncertainties for 2000–2014 and 2015–2021 to ±9.77% and ±11.39%, respectively, outperforming other inventories and improving accuracy to 73% compared to ODIAC and EDGAR (57%, 65%). (2) Long–term trends in the Greater Bay Area (GBA) show an upward trajectory, with a 2.8% rise during the global financial crisis and a −0.19% decline during the COVID-19 pandemic. Spatial analysis uncovers a “core–subcore–periphery” emission pattern. (3) The core city GZ consistently contributes the largest emissions, followed by DG as the second–largest emitter, and HK as the seventh–highest emitter. Factors influencing the center–shift of the pattern include the urban form of cities, population migration, GDP contribution, but not electricity consumption. The reconstructed method and product offer a reliable solution for the lack of directly observed emissions, enhancing decision–making accuracy for policymakers.
Multi-Platform Integrated Analysis of the Degradation Patterns of Impact Crater Populations on the Lunar Surface
Authors: Chen Meixi , Ma Xinyu , Hu Teng , Kang Zhizhong , Xiao Meng
Published: June 2024

Following the processing of the Chang’e-4 satellite images, Chang’e-4 landing camera images, and Yutu-2 panoramic camera images, data were obtained in a variety of resolutions, including digital elevation model (DEM) and digital orthophoto map (DOM). By determining the morphological parameters, including the depths and diameters of impact craters in the study area, as well as their degradation classes based on surface texture features, we conducted a comprehensive analysis of the morphological parameters and population degradation patterns of impact craters from multiple platforms. The data from three platforms were employed to identify 12,089 impact craters with diameters ranging from 0.1 m to 800.0 m, which were then classified into five degradation classes based on their morphology in the images. This study indicates that as the size of impact craters increases, the population within them experiences a greater degree of degradation. However, the severe degradation of impact craters with diameters of less than 1 m or even 2 m is influenced by the rapid rate of degradation of the crater and the low solidity of the crater lips. The results of the equilibrium state of impact craters indicate that for sub-metre-sized impact craters (with diameters below 2.0 m), it is challenging to reach equilibrium. Furthermore, the smaller the impact crater, the more difficult it is to achieve equilibrium, which is probably the result of simpler generation conditions and the faster degradation of small impact craters.
Exterior Orientation Parameter Refinement of the First Chinese Airborne Three-Line Scanner Mapping System AMS-3000
Authors: Zhang Hao , Duan Yansong , Qin Wei , Zhou Qi , Zhang Zuxun
Published: June 2024

The exterior orientation parameters (EOPs) provided by the self-developed position and orientation system (POS) of the first Chinese airborne three-line scanner mapping system, AMS-3000, are impacted by jitter, resulting in waveform distortions in rectified images. This study introduces a Gaussian Markov EOP refinement method enhanced by cubic spline interpolation to mitigate stochastic jitter errors. Our method first projects tri-view images onto a mean elevation plane using POS-provided EOPs to generate Level 1 images for dense matching. Matched points are then back-projected to the original Level 0 images for the bundle adjustment based on the Gaussian Markov model. Finally, cubic spline interpolation is employed to obtain EOPs for lines without observations. Experimental comparisons with the piecewise polynomial model (PPM) and Lagrange interpolation model (LIM) demonstrate that our method outperformed these models in terms of geo-referencing accuracy, EOP refinement metric, and visual performance. Specifically, the line fitting accuracies of four linear features on Level 1 images were evaluated to assess EOP refinement performance. The refinement performance of our method showed improvements of 50%, 45.1%, 29.9%, and 44.6% over the LIM, and 12.9%, 69.2%, 69.6%, and 49.3% over the PPM. Additionally, our method exhibited the best visual performance on these linear features.
Advancements in Sensors and Analyses for Emotion Sensing
Authors: Sato Wataru
Published: June 2024

Exploring the objective signals associated with subjective emotional states has practical significance [...]
Ant3D—A Fisheye Multi-Camera System to Survey Narrow Spaces
Authors: Perfetti Luca , Fassi Francesco , Vassena Giorgio
Published: June 2024

Although the field of geomatics has seen multiple technological advances in recent years which enabled new applications and simplified the consolidated ones, some tasks remain challenging, inefficient, and time- and cost-consuming. This is the case of accurate tridimensional surveys of narrow spaces. Static laser scanning is an accurate and reliable approach but impractical for extensive tunnel environments; on the other hand, portable laser scanning is time-effective and efficient but not very reliable without ground control constraints. This paper describes the development process of a novel image-based multi-camera system meant to solve this specific problem: delivering accurate, reliable, and efficient results. The development is illustrated from the system conceptualization and initial investigations to the design choices and requirements for accuracy. The resulting working prototype has been put to the test to verify the effectiveness of the proposed approach.
ZnO Doped Silica Nanoparticles (ZnO@SiO2) for Enhanced Electrochemical Detection of Cd2+ Ions in Real Samples
Authors: Dhaffouli Afef , Holzinger Michael , Carinelli Soledad , Barhoumi Houcine , Salazar-Carballo Pedro A.
Published: June 2024

Pollution by heavy metal ions has a serious impact on human health and the environment, which is why the monitoring of heavy metal ions is of great practical importance. In this work, we describe the development of an electrochemical sensor for the detection of cadmium (Cd2+) involving the doping of porous SiO2 spheres with ZnO nanoparticles. Zinc oxide is chosen as the central dopant in the composite material to increase the conductivity and thus improve the electrochemical detection of Cd2+ ions with the SiO2 spheres. The resulting composite is characterized by electrochemical spectroscopic XRD and microscopic methods. As a result, the developed sensor shows good selectivity towards the targeted Cd2+ ions compared to other divalent ions. After optimization of the experimental conditions, the electrochemical sensor shows two different linear ranges between 2.5 × 10−11 molL−1 to 1.75 × 10−10 molL−1 and 2 × 10−9 molL−1 to 1.75 × 10−9 molL−1, indicating a change from diffusion-controlled to surface-controlled oxidation of Cd2+. A detection limit was reached at 4.4 × 10−11 molL−1. In addition, it offers good repeatability and recovery, and can detect accurate trace amounts of Cd2+ ions in real samples such as tap water or seawater by spiking these samples with known Cd2+ concentrations. This setup also provides satisfactory recovery rates in the range of 89–102%.
Detecting Near-Surface Sub-Millimeter Voids in Additively Manufactured Ti-5V-5Al-5Mo-3Cr Alloy Using a Transmit-Receive Eddy Current Probe
Authors: Halliday Brendan Sungjin , Eastmure Allyson , Underhill Peter Ross , Krause Thomas Walter
Published: June 2024

Additive Manufacturing (AM) Direct Laser Fabrication (DLF) of Ti-5Al-5V-5Mo-3Cr (Ti5553) is being developed as a method for producing aircraft components. The additive manufacturing process can produce flaws near the surface, such as porosity and material voids, which act as stress raisers, leading to potential component failure. Eddy current testing was investigated to detect flaws on or near the surface of DLF Ti5553 bar samples. For this application, the objective was to develop an eddy current probe capable of detecting flaws 500 µm in diameter, located 1 mm below the component’s surface. Two initial sets of coil parameters were chosen: The first, based on successful experiments that demonstrated detection of a near surface flaw in Ti5553 using a transmit-receive array probe, and the second, derived from simulation by Finite Element Method (FEM). An optimized transmit receive coil design, based on the FEM simulations, was constructed. The probe was evaluated on Ti5553 samples containing sub-surface voids of the target size, as well as samples with side-drilled holes and samples with holes drilled from the opposing inspection surface. The probe was able to effectively detect 80% of the sub-surface voids. Limitations included the probe’s inability to detect sub-surface voids near sample edges and a sensitivity to surface roughness, which produces local changes in lift-off. Multifrequency mixing improved signal-to-noise ratio when surface roughness was present on average by 22%. A probe based on that described in this paper could benefit quality assurance of additively manufactured aircraft components.
Enhancing Lithium-Ion Battery Health Predictions by Hybrid-Grained Graph Modeling
Authors: Xing Chuang , Liu Hangyu , Zhang Zekun , Wang Jun , Wang Jiyao
Published: June 2024

Predicting the health status of lithium-ion batteries is crucial for ensuring safety. The prediction process typically requires inputting multiple time series, which exhibit temporal dependencies. Existing methods for health status prediction fail to uncover both coarse-grained and fine-grained temporal dependencies between these series. Coarse-grained analysis often overlooks minor fluctuations in the data, while fine-grained analysis can be overly complex and prone to overfitting, negatively impacting the accuracy of battery health predictions. To address these issues, this study developed a Hybrid-grained Evolving Aware Graph (HEAG) model for enhanced prediction of lithium-ion battery health. In this approach, the Fine-grained Dependency Graph (FDG) helps us model the dependencies between different sequences at individual time points, and the Coarse-grained Dependency Graph (CDG) is used for capturing the patterns and magnitudes of changes across time series. The effectiveness of the proposed method was evaluated using two datasets. Experimental results demonstrate that our approach outperforms all baseline methods, and the efficacy of each component within the HEAG model is validated through the ablation study.
Multi-Tracking Sensor Architectures for Reconstructing Autonomous Vehicle Crashes: An Exploratory Study
Authors: Haque Mohammad Mahfuzul , Ghobakhlou Akbar , Narayanan Ajit
Published: June 2024

With the continuous development of new sensor features and tracking algorithms for object tracking, researchers have opportunities to experiment using different combinations. However, there is no standard or agreed method for selecting an appropriate architecture for autonomous vehicle (AV) crash reconstruction using multi-sensor-based sensor fusion. This study proposes a novel simulation method for tracking performance evaluation (SMTPE) to solve this problem. The SMTPE helps select the best tracking architecture for AV crash reconstruction. This study reveals that a radar-camera-based centralized tracking architecture of multi-sensor fusion performed the best among three different architectures tested with varying sensor setups, sampling rates, and vehicle crash scenarios. We provide a brief guideline for the best practices in selecting appropriate sensor fusion and tracking architecture arrangements, which can be helpful for future vehicle crash reconstruction and other AV improvement research.
Extraction of Bioactive Compound-Rich Essential Oil from Cistus ladanifer L. by Microwave-Assisted Hydrodistillation: GC-MS Characterization, In Vitro Pharmacological Activities, and Molecular Docking
Authors: El Hachlafi Naoufal , Kandsi Fahd , Elbouzidi Amine , Lafdil Fatima Zahra , Nouioura Ghizlane , Abdallah Emad M. , Abdnim Rhizlan , Bnouham Mohamed , Al-Mijalli Samiah Hamad , Naceiri Mrabti Hanae , Fikri-Benbrahim Kawtar
Published: June 2024

Cistus ladanifer L. is an aromatic and resinous perennial shrub commonly used in Moroccan folk medicine against a range of illnesses including skin problems, diabetes, diarrhea, and inflammation. The current investigation aims to determine the bioactive compounds of C. ladanifer essential oil (CL-Eo) extracted by microwave-assisted hydrodistillation and their biological properties using in vitro and molecular docking approaches. The GC-MS analysis identified linderol (17.76%), gamma-terpinene (17.55%), and borneol (13.78%) as main bioactive compounds. CL-Eo significantly inhibited α-amylase (IC50 = 0.41 ± 0.009 mg/mL), α-glucosidase (IC50 = 0.49 ± 0.002 mg/mL) and lipase (IC50 = 0.45 ± 0.004 mg/mL) enzymes. Moreover, CL-Eo showed significant hemoglobin glycation as well as antioxidant capacity as indicated by DPPH, ABTS, Frap and beta-carotene tests. The antimicrobial evaluation used disc-diffusion and microdilution tests in vitro. The results showed that CL-Eo had significant antibacterial activity, particularly against P. mirabilis (17.16 ± 1.04 mm), and moderate effects against L. innocua (13.48 ± 1.65 mm) and E. coli (12.47 ± 0.61 mm). In addition, it demonstrated potent antifungal activity against C. albicans (18.01 ± 0.91 mm) and C. tropicalis (16.45 ± 0.32 mm). The MIC and MBC tests provided confirmation that CL-Eo exhibited potent growth inhibition. The MIC ranged from 0.25 to 8.0% v/v and the MBC or MFC ranged from 0.25 to 16.0% v/v Eo. The tolerance level ratio showed bactericidal and fungicidal effects against tested microbial strains in varying degrees. According to these data, CL-Eo might be suggested as a promising candidate for drug development, specifically for combating candidiasis and diabetes.
A Holistic and Multidimensional Methodology Proposal for a Persona with Total Visual Impairment Archetype on the Web
Authors: Marin-Alvarez Esther , Carcelen-Garcia Sonia , Galmes-Cerezo María
Published: June 2024

The web was conceived in 1997 with the goal of universal accessibility. However, it still presents obstacles for users with diverse abilities. Although interactions in digital environments have improved the quality of life for many people, they remain a source of limitations and frustrations, up to twice as much for users with total visual impairment, which is commonly known as blindness. This article emphasizes the need to provide designers and developers with methodologies and tools that consider users with different abilities in all stages and from the beginning of the design, redesign, and development of digital products and services on the web, collecting their needs and goals and delving into their reactions and emotions. While an approach based on persona archetypes can optimally represent each group of users with disabilities throughout website design processes, serving as a communication and empathy tool for development teams and stakeholders, it is essential that this tool considers all dimensions involved in the experiences of people with disabilities. This conceptual paper develops a methodology that provides designers with a persona tool that effectively captures the goals and emotions of these users in their interaction with the web. This methodology proposal is multidimensional and holistic. It addresses conscious and subconscious dimensions, combines traditional user experience and neuroscientific techniques, focuses on total visual impairment, the most challenging in digital environments, and makes it adaptable to other disabilities.
Enhancing Soil Environments and Wheat Production through Water Hyacinth Biochar under Deficit Irrigation in Ethiopian Acidic Silty Loam Soil
Authors: Fentie Desalew , Mihretie Fekremariam Asargew , Kohira Yudai , Legesse Solomon Addisu , Lewoyehu Mekuanint , Sato Shinjiro
Published: June 2024

The combined application of biochar and fertilizer has become increasingly popular for improving soil quality and crop productivity. However, the reported research results regarding the effects of biochar on soil properties and crop productivity have contradictory findings, indicating the requirement for further scientific research. Therefore, this study aimed to investigate the effects of a combined application of water hyacinth biochar (WHB) and NPS fertilizer on soil physicochemical properties and wheat yield under deficit irrigation conditions in acidic silty loam soil in Ethiopia. Four different biochar rates (0, 5, 10, and 20 t ha−1), three fertilizer rates (0, 100, and 200 kg NPS ha−1), and two irrigation regimes (50 and 100% of crop requirement) were evaluated to assess soil properties and wheat yields. The results showed that biochar amendment significantly reduced soil bulk density by 15.1–16.7%, and improved soil porosity by 6.8–8.6% and moisture content by 10.3–20.2%. Additionally, the combined application of biochar and fertilizer improved soil pH (0.26–0.87 units), NH4+–N (73.7–144%), NO3−–N (131–637%), and available phosphorus (85.8–427%), compared to the application of fertilizer alone. As a result, wheat dry biomass and grain yield increased by 260 and 173%, respectively. Furthermore, the combined application of WHB and fertilizer resulted in a comparable wheat dry biomass and grain yield even with a 50% reduction of irrigation water. Therefore, WHB has a significant potential to improve soil physicochemical properties and wheat yield when it is applied in combination with fertilizer, and it can reduce the water requirement for wheat production.
Study on Factors Influencing Forest Distribution in Barcelona Metropolitan Region
Authors: Zhang Xu , Arellano Blanca , Roca Josep
Published: June 2024

As a precious natural resource, forests are being destroyed. In previous studies, there is a lack of an interactive assessment of their distribution that comprehensively considers multiple external disturbances. This paper takes the Barcelona Metropolitan Region as an example. Based on remote sensing, it analyzes the development process of the forest from 2006 to 2018 through multiple landscape indicators, and OLS models were established to analyze variables that have direct and indirect effects on forest distribution. In addition, the ecological structure of the forest was analyzed based on NDVI. It was found that the forest area is the largest area but has been decreasing, becoming more complex in distribution structure. Much of the forest was converted to agricultural land and grassland. The green quality of the forests has been increasing, and the broad-leaved forest, the second largest area, contributes the most. NDVI is the most important positively correlated variable, and daytime surface temperature is an important inverse factor related to NDVI. In addition, NDBI is also a negative condition that inhibits forest development. In conclusion: The BMR forest area is decreasing and becoming more fragmented. NDVI and daytime LST are the two most significant factors. Climate warming may lead to worse forest development.
Geopolitical Risk and Ownership Decision in Green Overseas Investment: Dual Moderation of Corporate Green Technology Capability and Host Green Governance
Authors: Tang Chenxi , Du Xiaojun
Published: June 2024

In pursuit of green, low-carbon, and sustainable development, Belt and Road Initiative (BRI) countries urgently require overseas investment in green projects. However, these investments face significant geopolitical risk (GPR) challenges. This study thoroughly investigates how GPR influences the foreign ownership decisions of Chinese enterprises investing in green projects in BRI countries. It further examines the dual moderating effects of corporate green technology capability and host green governance on this relationship. Empirical analysis was conducted using the fractional logit model, analyzing green overseas investment data from Chinese listed companies spanning from 2013 to 2022. The findings revealed the following: (1) high GPR leads Chinese enterprises to opt for low-ownership entry modes in their BRI green investments; (2) the negative impact of GPR on foreign ownership decisions can be offset by improving enterprises’ green technology capability; and (3) in BRI countries with advanced green governance, the negative impact of GPR on the foreign ownership-level decisions of Chinese enterprises is mitigated, and the moderating effect of corporate green technology capability is magnified. This study offers vital insights for multinational enterprises (MNEs) formulating their foreign entry ownership strategies for green overseas investments based on enterprise characteristics and host country conditions to effectively mitigate the impacts of GPR. Similarly, it offers important implications for host countries on attracting more green investments by enhancing their green governance levels to counteract GPR.