bluuebunny/crossref_metadata_2025 huggingface dataset:
Electrochemical Upgrading of Waste Polylactic Acid Plastic for the Coproduction of C2 Chemicals and Green Hydrogen
Authors: Xiang Daili , Zhou Kexin , Huang Jiahui , Kang Qing , Li Hao , Duan Yuhui , Du Jialei , Liu Hong
Published: November 2024

Tandem alkali-catalyzed hydrolysis and alkaline electrolysis have gradually become appealing avenues for the reformation of polyester plastics into high-value-added chemicals and green hydrogen with remarkable environmental and economic benefits. In this study, an electrochemical upcycling strategy was developed for the electrocatalytic oxidation of polylactic acid (PLA) hydrolysate into valued C2 chemicals (i.e., acetate) and hydrogen fuel using N, P-doped CuOx nanowires (NW) supported on nickel foam (NF) as the electrocatalyst. This 3D well-integrated catalyst was easily prepared from a Cu(OH)2 NW/NF precursor with Saccharomycetes as a green and safe P and N source. The electrocatalyst can efficiently catalyze the lactate monomer derived from the hydrolysis of PLA waste to acetate with high selectivity and exhibits a lower onset potential for the lactate oxidation reaction (LOR) than for water oxidation, saving 224 mV to deliver a current density of 30 mA/cm2. The experimental results reveal that the plausible pathway of the LOR on these CuOx NW involves oxidation and subsequent decarboxylation. Divalent copper species have been verified to be active sites for LOR via in situ Raman spectroscopy.
CO2 Hydrogenation to Methanol over In2O3 Decorated by Metals of the Iron Triad
Authors: Stryšovský Tomáš , Kajabová Martina , Bikbashev Arkadii , Kovářová Zuzana , Pocklanová Radka , Prucek Robert , Panáček Aleš , Kašlík Josef , Petr Martin , Kvítek Libor
Published: November 2024

The growing concentration of CO2 in the atmosphere is a serious problem, and efforts to counter this issue are thus highly important. One of the possible approaches to solving this problem is the conversion of waste CO2 into products with added economic value. Methanol is one of these products with vast potential usage. In this study, indium oxide prepared by a simple precipitation method and modified by nanoparticles of metals from the iron triad were tested as possible catalysts to produce methanol by the method of CO2 hydrogenation. The prepared catalysts demonstrated a strong dependence of their catalytic activity on used metal. The best selectivity for the production of CH3OH was observed for the Fe/In2O3 catalyst at the value of 54.7% at 300 °C. However, due to the higher value of CO2 conversion, the highest CH3OH formation rate was observed at a value of 11.3 mmol/(h*g) at 300 °C for a composite of Ni/In2O3.
Sustainable Nanomedicine: Enhancement of Asplatin’s Cytotoxicity In Vitro and In Vivo Using Green-Synthesized Zinc Oxide Nanoparticles Formed via Microwave-Assisted and Gambogic Acid-Mediated Processes
Authors: Hassan Hatem A. F. M. , Sedky Nada K. , Nafie Mohamed S. , Mahdy Noha Khalil , Fawzy Iten M. , Fayed Toka Waleed , Preis Eduard , Bakowsky Udo , Fahmy Sherif Ashraf
Published: November 2024

Chemoresistance encountered using conventional chemotherapy demands novel treatment approaches. Asplatin (Asp), a novel platinum (IV) prodrug designed to release cisplatin and aspirin in a reductive environment, has demonstrated high cytotoxicity at reduced drug resistance. Herein, we investigated the ability of green-synthesized nanocarriers to enhance Asp’s efficacy. Zinc oxide nanoparticles (ZnO-NPs) were synthesized using a green microwave-assisted method with the reducing and capping agent gambogic acid (GA). These nanoparticles were then loaded with Asp, yielding Asp@ZnO-NPs. Transmission electron microscopy was utilized to study the morphological features of ZnO-NPs. Cell viability studies conducted on MDA-MB-231 breast cancer cells demonstrated the ability of the Asp@ZnO-NPs treatment to significantly decrease Asp’s half-maximal inhibitory concentration (IC50) (5 ± 1 µg/mL). This was further demonstrated using flow cytometric analysis that revealed the capacity of Asp@ZnO-NPs treatment to significantly increase late apoptotic fractions. Furthermore, in vivo studies carried out using solid Ehrlich carcinoma-bearing mice showed significant tumor volume reduction with the Asp@ZnO-NPs treatment (156.3 ± 7.6 mm3), compared to Asp alone (202.3 ± 8.4 mm3) and untreated controls (342.6 ± 10.3 mm3). The histopathological analysis further demonstrated the increased necrosis in Asp@ZnO-NPs-treated group. This study revealed that Asp@ZnO-NPs, synthesized using an eco-friendly approach, significantly enhanced Asp’s anticancer activity, offering a sustainable solution for potent anticancer formulations.
Exploring Pt-Impregnated CdS/TiO2 Heterostructures for CO2 Photoreduction
Authors: García-Santos Lidia , Fernández-Catalá Javier , Berenguer-Murcia Ángel , Cazorla-Amorós Diego
Published: November 2024

This work focuses on the production of methane through the photocatalytic reduction of carbon dioxide using Pt-doped CdS/TiO2 heterostructures. The photocatalysts were prepared using P25 commercial titania and CdS synthesized through a solvothermal methodology, followed by the impregnation of Pt onto the surface to enhance the physicochemical properties of the resulting photocatalysts. The pure and heterostructure-based materials were characterized using X-ray diffraction (XRD), inductively coupled plasma optical emission spectroscopy (ICP-OES), scanning electron microscopy (SEM) with energy dispersive X-ray spectroscopy (EDX), transmission electron microscopy (TEM), X-ray photoelectron spectroscopy (XPS), ultraviolet-visible spectroscopy (UV-Vis), ultraviolet photoelectron spectroscopy (UPS), and photoluminescence spectroscopy (PL). The obtained results show the successful synthesis of the heterostructure impregnated with Pt. Moreover, the observed key role of CdS and Pt nanoparticles in the final semiconductor is to reduce the electron-hole pair recombination rate by acting as an electron sink, which slows down the recombination process and increases the photocatalyst efficiency. Thus, Pt-doped CdS/TiO2 heterostructures with the best observed composition presents better catalytic activity than P25 titania with methane production values being 460 and 397 µmol CH4/g·h, respectively.
Metasurface-Based Image Classification Using Diffractive Deep Neural Network
Authors: Cheng Kaiyang , Deng Cong , Ye Fengyu , Li Hongqiang , Shen Fei , Fan Yuancheng , Gong Yubin
Published: November 2024

The computer-assisted inverse design of photonic computing, especially by leveraging artificial intelligence algorithms, offers great convenience to accelerate the speed of development and improve calculation accuracy. However, traditional thickness-based modulation methods are hindered by large volume and difficult fabrication process, making it hard to meet the data-driven requirements of flexible light modulation. Here, we propose a diffractive deep neural network (D2NN) framework based on a three-layer all-dielectric phased transmitarray as hidden layers, which can perform the classification of handwritten digits. By tailoring the radius of a silicon nanodisk of a meta-atom, the metasurface can realize the phase profile calculated by D2NN and maintain a relative high transmittance of 0.9 at a wavelength of 600 nm. The designed image classifier consists of three layers of phase-only metasurfaces, each of which contains 1024 units, mimicking a fully connected neural network through the diffraction of light fields. The classification task of handwriting digits from the ‘0’ to ‘5’ dataset is verified, with an accuracy of over 90% on the blind test dataset, as well as demonstrated by the full-wave simulation. Furthermore, the performance of the more complex animal image classification task is also validated by increasing the number of neurons to enhance the connectivity of the neural network. This study may provide a possible solution for practical applications such as biomedical detection, image processing, and machine vision based on all-optical computing.
Clinical Phenotypes Associated with the Gut Microbiome in Older Japanese People with Care Needs in a Nursing Home
Authors: Inoue Rikako , Hosomi Koji , Park Jonguk , Sakaue Haruka , Yumioka Hitomi , Kamitani Hiroko , Kinugasa Yoshiharu , Harano Kaori , Syauki A. Yasmin , Doi Miki , Kageyama Suzumi , Yamamoto Kazuhiro , Mizuguchi Kenji , Kunisawa Jun , Irie Yasuyuki
Published: November 2024

Background: Frailty increases the risk of needing nursing care and significantly affects the life and functional prognosis of older individuals. Early detection and tailored interventions are crucial for maintaining and enhancing their life functions. Recognizing distinct clinical phenotypes is essential for devising appropriate interventions. This study aimed to explore diverse frailty phenotypes, focusing on poor nutrition in older Japanese individuals through observational research. Methods: Twenty-one nursing home residents underwent a comprehensive survey covering physical, blood, dietary, cardiac, cognitive, nutritional, nursing care, frailty, agitated behavior, and gut microbiome assessments (high-throughput 16S rRNA gene sequencing). Using clustering analysis with 239 survey items (excluding gut microbiome), participants were classified into subgroups based on clinical phenotypes, and group characteristics were compared through analysis. Results: Individuals with moderate or severe frailty and suspected dementia formed subgroups with distinct clinical phenotypes based on nutritional, defecation, and nursing care statuses. The gut microbiome significantly varied among these groups (p = 0.007), indicating its correlation with changes in clinical phenotype. Nutritional status differences suggested poor nutrition as a differentiating factor in the core clinical phenotype. Conclusions: This study proposes that the gut microbiome differs based on the clinical phenotype of Japanese older individuals with frailty, and targeted interventions addressing the gut microbiome may contribute to preventing frailty in this population.
Characterization of Disease Patterns in Children with Intracranial Abscesses for Enhanced Clinical Decision-Making
Authors: Middelkamp Maximilian , Kania Marcus M. , Groth Friederike S. , Ricklefs Franz L. , Dührsen Lasse
Published: November 2024

Background: Intracranial suppurative infections in pediatric patients, while rare, pose a significant risk to patient mortality. Early recognition and fast initiation of diagnosis and treatment are crucial to prevent fatal outcomes. Between December 2022 and May 2023, a significant cluster of nine cases emerged, each necessitating neurosurgical intervention. This series highlights an important trend in clinical outcomes and raises questions about underlying factors contributing to this pattern. The need for surgical procedures in all instances suggests a commonality in severity, warranting further investigation into potential causes and preventative measures. This retrospective monocentric study aims to explore the clinical features associated with these cases to identify specific disease patterns that can expedite management in clinical practice. Methods: Cramer’s V effect size was employed to evaluate combinations of clinical features, followed by Fisher’s exact test applied to a constructed contingency table. A p-value was assessed for significance analysis, with combinations achieving a Cramer’s V value of 0.7 or higher being classified as exhibiting very strong correlations. Results: The analysis revealed distinct patterns of clinical features among children diagnosed with intracranial abscesses. Significant associations were identified, including correlations between sinusitis and Streptococcus pyogenes, and fever accompanied by affected temporal, frontal, and frontobasal lobe regions. Conclusions: Despite the generally limited statistical analysis of pediatric intracranial abscesses in the existing literature, this study provides meaningful significant associations between clinical features, delineating specific disease patterns for children with intracranial abscesses. By addressing this gap, the findings contribute valuable insights and offer a framework that could enhance clinical decision-making and support timely disease management in pediatric cases.
Antibacterial Activity of AXOTL-13, a Novel Peptide Identified from the Transcriptome of the Salamander Ambystoma mexicanum
Authors: Córdoba Laura , López Daniela , Mejía Mariana , Guzmán Fanny , Beltrán Dina , Carbonell Belfran , Medina Laura
Published: November 2024

Background/Objectives: Antimicrobial peptides are essential molecules in the innate immunity of various organisms and possess a broad spectrum of antimicrobial, antitumor, and immunomodulatory activities. Due to their multifunctionality, they are seen as an alternative for controlling bacterial infections. Although conventional antibiotics have improved health worldwide, their indiscriminate use has led to the emergence of resistant microorganisms. To discover new molecules with antimicrobial activity that could overcome the limitations of traditional antibiotics, this study aimed to identify antimicrobial peptides in Ambystoma mexicanum. Methods: In this study, hypothetical proteins encoded in the Ambystoma mexicanum transcriptome were predicted. These proteins were aligned with peptides reported in the Antimicrobial Peptide Database (APD3) using the Fasta36 program. After identifying peptide sequences with potential antibacterial activity, their expression was confirmed through conventional polymerase chain reaction (PCR) and then chemically synthesized. The antibacterial activity of the synthesized peptides was evaluated against Staphylococcus aureus ATCC 25923 and Escherichia coli ATCC 25922. Results: A new antimicrobial peptide named AXOTL-13 was identified. AXOTL-13 is an amphipathic cationic alpha-helical peptide with the ability to inhibit the growth of Escherichia coli without causing hemolysis in red blood cells, with its action likely directed at the membrane, as suggested by morphological changes observed through scanning electron microscopy. Conclusions: This research is pioneering in evaluating the activity of antimicrobial peptides present in Ambystoma mexicanum and in specifically identifying one of these peptides. The findings will serve as a reference for future research in this field.
Clinical Evidence Regarding Spermidine–Hyaluronate Gel as a Novel Therapeutic Strategy in Vestibulodynia Management
Authors: Murina Filippo , Graziottin Alessandra , Toni Nicla , Schettino Maria Teresa , Bello Luca , Marchi Alessandra , Del Bravo Barbara , Gambini Dania , Tiranini Lara , Nappi Rossella Elena
Published: November 2024

Background: Vestibulodynia (VBD) represents a summation and overlapping of trigger factors (infections, hormonal disturbances, allergies, genetic aspects, psychological vulnerability, and others) with broad individual variability. As there are no standard treatment options for VBD, the disease is still in need of appropriate therapeutic tools. Objectives: A prospective observational trial was performed to confirm the efficacy of a topical gel containing a spermidine–hyaluronate complex (UBIGEL donna™) as either a stand-alone or companion treatment through a multicenter study on a large sample population. Methods: For women with VBD (n = 154), the treatment consisted of approximately two months (4 + 4 weeks) of applications according to the posology of UBIGEL. Evaluation of symptoms was performed on relevant clinical endpoints: dyspareunia and vulvovaginal pain/burning by a visual scale (VAS); vestibular trophism by a vestibular trophic health (VeTH) score; vulvoscopy through a cotton swab test; and the level of hypertonic pelvic floor by a physical graded assessment of levator ani hypertonus. Results: A total of 154 patients treated with UBIGEL donna™ showed significant improvements across all five evaluated parameters, including pain, dyspareunia, swab test results, muscle hypertonicity, and vestibular trophism. Pain and dyspareunia scores decreased by 46.5% and 33.5%, respectively, while significant improvements were also observed in the other parameters (p < 0.0001). These improvements were consistent across various stratifications, including age and disease duration. Conclusions: The findings of the present study suggest that UBIGEL donna™ is effective in alleviating pain and dyspareunia, as well as reducing vestibular hypersensitivity in women with VBD. Although UBIGEL donna™ alone cannot serve as a comprehensive substitute for all recommended therapies, we suggest that multimodal therapy strategies may be crucial for attaining substantial improvement in any aspect of the condition.
Thermally Conductive Polydimethylsiloxane-Based Composite with Vertically Aligned Hexagonal Boron Nitride
Authors: Lin Haosen , Xu Genghao , Chen Zihao , Wang Luyang , Liu Zhichun , Ma Lei
Published: November 2024

The considerable heat generated in electronic devices, resulting from their high-power consumption and dense component integration, underscores the importance of developing effective thermal interface materials. While composite materials are ideal for this application, the random distribution of filling materials leads to numerous interfaces, limiting improvements in thermal transfer capabilities. An effective method to improve the thermal conductivity of composites is the alignment of anisotropic fillers, such as hexagonal boron nitride (BN). In this study, the repeat blade coating method was employed to horizontally align BN within a polydimethylsiloxane (PDMS) matrix, followed by flipping and cutting to prepare BN/PDMS composites with vertically aligned BN (V-BP). The V-BP composite with 30 wt.% BN exhibited an enhanced out-of-plane thermal conductivity of up to 1.24 W/mK. Compared to the PDMS, the V-BP composite exhibited outstanding heat dissipation capacities. In addition, its low density and exceptional electrical insulation properties showcase its potential for being used in electronic devices. The impact of coating velocity on the performance of the composites was further studied through computational fluid dynamics simulation. The results showed that increasing the coating velocity enhanced the out-of-plane thermal conductivity of the V-BP composite by approximately 40% compared to those prepared at slower coating velocities. This study provides a promising approach for producing thermal interface materials on a large scale to effectively dissipate the accumulated heat in densely integrated electronic devices.
Physico-Chemical Characterizations of Composited Calcium-Ortho-Phosphate Porous Particles and Their Controlled Release Behavior of Clindamycin Phosphate and Amikacin Sulfate
Authors: Khamkaew Namfon , Kanokpanont Sorada , Apinun Jirun , Wangdee Chalika , Motta Antonella , Damrongsakkul Siriporn
Published: November 2024

The porous particles prepared from composited calcium–ortho-phosphate (biphasic), Thai silk fibroin, gelatin, and alginate, with an organic to inorganic component ratio of 15.5:84.5, were tested for their abilities to control the release of the commercialized antibiotic solutions, clindamycin phosphate (CDP) and amikacin sulfate (AMK). The in vitro biodegradability tests complying to the ISO 10993-13:2010 standard showed that the particles degraded <20 wt% within 56 days. The drugs were loaded through a simple adsorption, with the maximum loading of injection-graded drug solution of 43.41 wt% for CDP, and 39.08 wt% for AMK. The release profiles from dissolution tests of the drug-loaded particles varied based on the adsorption methods used. The drug-loaded particles (without a drying step) released the drug immediately, while the drying process after the drug loading resulted in the sustained-release capability of the particles. The model-fitting of drug release profiles showed the release driven by diffusion with the first-ordered kinetic after the initial burst release. The released CDF and AMK from particles could sustain the inhibition of Gram-positive bacteria and Gram-negative bacteria, respectively, for at least 72 h. These results indicated the potential of these composited particles as controlled-release carriers for CDP and AMK.
Unveiling the Composition of La Pajarita PVAc-Based Paints in Joan Miró’s Studio and in Three Artworks from the 1970s
Authors: Gomez Lobon Mar , Juncosa Darder Enric , Palomino Cabello Carlos , Bauza Marta , Izzo Francesca Caterina
Published: November 2024

In this study, we present the first characterisation of the polyvinyl acetate (PVAc) paints of commercial Spanish brand La Pajarita preserved in the studios of Joan Miró (1893–1983) in Mallorca, Spain. Investigation of several black and white paint samples using complementary analytical techniques (XRD, SEM–EDX, FTIR, and Py–GC–MS) allowed for the identification of pigments and binding media in studio materials, as well as in three artworks dating from the 1970s. Through comparative analysis, it was possible to find significant similarities between the composition of La Pajarita paints conserved in cans in the artist’s studio with black and white painted layers from three artworks by Miró. Miró’s use of La Pajarita paints is extensively documented in studio notes, photographs, and videos, and these paints are known to have been used by other significant Spanish artists. However, their composition has remained largely undiscovered until now. This research contributes to the knowledge of PVAc paints, providing evidence of their use by Joan Miró. The analytical results serve as a valuable reference for comparing and identifying these synthetic paints in other artworks, as well as aiding in attribution or dating studies. Furthermore, the study demonstrates the significance of materials found in artists’ studios as a fundamental resource for identifying the materials present in artworks.
Love Through Patience: A Contribution to the Kierkegaardian Discussion on the Spiritual Nature of Love Relationships
Authors: Carpintero Raquel
Published: November 2024

This paper seeks to make a modest contribution to the ongoing Kierkegaardian discussion concerning the spiritual nature of love relationships, particularly those involving romantic elements. It introduces patience as a key element in understanding the love of the spirit, diverging from perspectives commonly found in recent Anglophone Kierkegaardian literature. Since, in Kierkegaard’s works, the spirit is conceived as an intermediary being positioned between time and eternity, I argue that the spirit’s love must be approached through patience, which is the concrete space where time and eternity intertwine. The argument unfolds in three steps: first, I present Kierkegaard’s understanding of human love as a work, highlighting the significance of the neighbor, which refers to the mode of loving rather than the object of love; second, I outline the challenges inherent in Kierkegaard’s conception of love and propose an approach that emphasizes the dialectic between transcendence and immanence; third, I argue that patience is the concrete means by which this dialectic unfolds within the individual’s existence.
Enhanced YOLOv8-Based Model with Context Enrichment Module for Crowd Counting in Complex Drone Imagery
Authors: Alhawsawi Abdullah N. , Khan Sultan Daud , Rehman Faizan Ur
Published: November 2024

Crowd counting in aerial images presents unique challenges due to varying altitudes, angles, and cluttered backgrounds. Additionally, the small size of targets, often occupying only a few pixels in high-resolution images, further complicates the problem. Current crowd counting models struggle in these complex scenarios, leading to inaccurate counts, which are crucial for crowd management. Moreover, these regression-based models only provide the total count without indicating the location or distribution of people within the environment, limiting their practical utility. While YOLOv8 has achieved significant success in detecting small targets within aerial imagery, it faces challenges when directly applied to crowd counting tasks in such contexts. To overcome these challenges, we propose an improved framework based on YOLOv8, incorporating a context enrichment module (CEM) to capture multiscale contextual information. This enhancement improves the model’s ability to detect and localize tiny targets in complex aerial images. We assess the effectiveness of the proposed framework on the challenging VisDrone-CC2021 dataset, and our experimental results demonstrate the effectiveness of this approach.
Monitoring and Analysis of Surface Deformation in the Buzhaoba Open-Pit Mine Based on SBAS-InSAR Technology
Authors: Zheng Yu , Zhao Zhifang , Zeng Min , Zhou Dingyi , Su Xiaotong , Liu Dingshuai
Published: November 2024

The Buzhaoba open-pit mine is an important lignite production base in Yunnan Province, China. As mining activities have continued to progress, varying degrees of deformation have occurred in different areas of the Buzhaoba open-pit mine, threatening normal coal production and mine safety. To comprehensively investigate the characteristics of surface deformation and its influencing factors at the Buzhaoba open-pit mine, this study employed the following methods: first, the SBAS-InSAR technique was used to process 86 Sentinel-1A ascending and descending orbit remote sensing images from 2020 to 2023, obtaining LOS surface deformation information for the mining area; second, leveling observation data were used to validate the accuracy of the SBAS-InSAR results, and based on the principle of two-dimensional deformation decomposition, the east–west and vertical surface deformation information of the mining area was obtained; finally, the temporal variation characteristics and influencing factors of the Buzhaoba open-pit mine were analyzed. The study results indicate that (1) the maximum LOS surface deformation rates in the ascending and descending orbits of the mining area were −42.1 mm/a and −114.0 mm/a, respectively; (2) the correlation coefficient between the SBAS-InSAR monitoring results and the leveling observation results was 0.938, confirming the reliability of the SBAS-InSAR monitoring results; (3) the maximum east–west and vertical deformation rates obtained from the two-dimensional deformation decomposition were −103.4 mm/a and −189.2 mm/a, respectively, with the surface deformation in the east–west direction being more pronounced; (4) internal factors such as stratigraphic lithology and geological structures, as well as atmospheric rainfall, have a certain degree of influence on the surface deformation of the Buzhaoba open-pit mine. Therefore, the research results of this study can provide important data support and theoretical references for safety management and disaster prevention in the mining area.
New Astronomical Observatory Design for the Detection and Tracking of Satellite Objects: The Satellite Robotic Observatory (SRO)
Authors: Espartero Francisco , Cubas Javier , Nespral David , Pindado Santiago
Published: November 2024

Robotic Astronomical Observatories (RAOs) have provided very good results in different research projects in astrophysics/astronomy. Their applications in the detection, tracking, and identification of near-Earth objects have contributed to the identification of potentially dangerous objects for our security, such as near-Earth Objects (NEOs), near-Earth Asteroids (NEAs), meteors, and comets, whose trajectory changes can cause an impact on our planet. If advances in astrometry techniques (measuring the position and trajectory of Earth-orbiting objects) and photometry (variation in light curves) are considered together with the new sensors that work in the optical and near-infrared spectral ranges, a new observatory system that allows for the detection of nearby satellite objects in different spectral ranges and with better-defined optics can be developed. The present paper describes the design of a new observatory applied to the surveillance and tracking of satellites and other debris objects, the Satellite Robotic Observatory (SRO). Starting from general constraints from astronomy observatories, the design process has been determined, considering the main objectives, the necessary sensors, and several technical improvements that have contributed to a final configuration proposed for the SRO. The result is the design of a portable observatory model that can host at least two sensors to track and monitor satellite objects simultaneously.
Observed Changes and Projected Risks of Hot–Dry/Hot–Wet Compound Events in China
Authors: Zou Yifan , Song Xiaomeng
Published: November 2024

Compound extreme events can cause serious impacts on both the natural environment and human beings. This work aimed to explore the changes in compound drought–heatwave and heatwave–extreme precipitation events (i.e., CDHEs and CHPEs) across China using daily-scale gauge-based meteorological observations, and to examine their future projections and potential risks using the Coupled Model Intercomparison Project (CMIP6) under the shared socioeconomic pathway (SSP) scenarios (i.e., SSP1-2.6, SSP2-4.5, and SSP5-8.5). The results show the following: (1) The frequencies of CDHEs and CHPEs across China showed a significant increasing trend from 1961 to 2020, with contrasting trends between the first half and second half of the period (i.e., a decrease from 1961 to 1990 and an increase from 1991 to 2020). Similar trends were observed for four intensity levels (i.e., mild, moderate, severe, and extreme) of CDHEs and CHPEs. (2) All the frequencies under three SSP scenarios will show increasing trends, especially under higher emission scenarios. Moreover, the projected intensities of CDHEs and CHPEs will gradually increase, especially for higher levels. (3) The exposure of the population (POP) and Gross Domestic Product (GDP) will be concentrated mainly in China’s coastal areas. The GDP exposures to the CDHEs and CHPEs will reach their highest values for SSP5-8.5, while the POP exposure will peak for SSP2-4.5 and SSP5-8.5, respectively. Our findings can offer scientific and technological support to actively mitigate future climate change risks.
Study on the Feasibility and Performance Evaluation of High-Orbit Spacecraft Orbit Determination Based on GNSS/SLR/VLBI
Authors: Wu Zhengcheng , Ni Shaojie , Xiao Wei , Li Zongnan , Liu Huicui
Published: November 2024

Deep space exploration utilizing high-orbit vehicles is a vital approach for extending beyond near-Earth space, with orbit information serving as the foundation for all functional capabilities. The performance of orbit determination is primarily influenced by observation types, errors, geometrical structures, and physical perturbations. Currently, research on orbit determination for high-orbit spacecraft predominantly focuses on single observation methods, error characteristics, multi-source fusion techniques, and algorithms. However, these approaches often suffer from low observation accuracy and increased costs. This paper advocates for the comprehensive utilization of existing multi-source observation methods, such as GNSS (Global Navigation Satellite System), SLR (Satellite Laser Ranging), and VLBI (Very Long Baseline Interferometry), in research. The decoupled Kalman filter reveals a positive correlation between measurement positioning accuracy and orbit determination accuracy, and it derives a simple orbit performance evaluation model that considers the influence of observation value types and geometric configurations, without the need to introduce complex dynamic models. Simulations are then employed to verify and analyze antenna gain, observation values, and performance evaluation. The results indicate the following: (1) Under simulated conditions, the optimal strategy involves employing the SLR/VLBI dual system during periods when VLBI orbit determination is feasible, yielding an average Weighted Position Dilution of Precision (WPDOP) of 26.79. (2) For periods when VLBI orbit determination is not feasible, the optimal approach is to utilize the GNSS/SLR/VLBI triple system, resulting in an average WPDOP of 16.32. (3) The orbit determination performance of the triple system is not significantly impacted by the use of global SLR stations compared to using only Chinese SLR stations. However, the global network enables continuous, round-the-clock orbit determination capabilities.
A Monocular Ranging Method for Ship Targets Based on Unmanned Surface Vessels in a Shaking Environment
Authors: Wang Zimu , Li Xiunan , Chen Peng , Luo Dan , Zheng Gang , Chen Xin
Published: November 2024

Aiming to address errors in the estimation of the position and attitude of an unmanned vessel, especially during vibration, where the rapid loss of feature point information hinders continuous attitude estimation and global trajectory mapping, this paper improves the monocular ORB-SLAM framework based on the characteristics of the marine environment. In general, we extract the location area of the artificial sea target in the video, build a virtual feature set for it, and filter the background features. When shaking occurs, GNSS information is combined and the target feature set is used to complete the map reconstruction task. Specifically, firstly, the sea target area of interest is detected by YOLOv5, and the feature extraction and matching method is optimized in the front-end tracking stage to adapt to the sea environment. In the key frame selection and local map optimization stage, the characteristics of the feature set are improved to further improve the positioning accuracy, to provide more accurate position and attitude information about the unmanned platform. We use GNSS information to provide the scale and world coordinates for the map. Finally, the target distance is measured by the beam ranging method. In this paper, marine unmanned platform data, GNSS, and AIS position data are autonomously collected, and experiments are carried out using the proposed marine ranging system. Experimental results show that the maximum measurement error of this method is 9.2%, and the average error is 4.7%.
The Impact of Green Supply Chain Management on Green Innovation, Environmental Performance, and Competitive Advantage
Authors: Gelmez Emel , Özceylan Eren , Mrugalska Beata
Published: November 2024

Environmental issues are increasing in importance for businesses day by day. Businesses are undergoing an environmentally focused transformation in all their activities within the value chain. Therefore, the necessity of integrating and maintaining the concept of “green” in all processes such as production, technology development, marketing, and supply chains has emerged. Topics such as environmentally sensitive production systems, green supply, and green innovation (GI) are both accepted in practice in various sectors and are examined in the literature. When the impact of green practices on the performance items of businesses is taken into consideration, it is important to examine the issue from this perspective. In this context, the aim of this study is to examine the impact of green supply chain management (GSCM) practices on GI, environmental performance (EP), and competitive advantage (CA). Within the framework of this aim, a survey was conducted on 283 businesses producing plastic, packaging, and textile products in Gaziantep (169) and Konya (114) provinces in Türkiye. In this study, where the quantitative research method was adopted, the hypotheses established were tested by using structural equation modeling (SEM). SPSS 22.0 package program and AMOS 22.0 program were used in the analysis. Within the scope of the analysis, the measurement model (confirmatory factor analysis) was first tested. As a result of the analysis, GSCM practices have a positive impact on GI and CA; GSCM has a positive impact on EP; GI has a positive impact on CA; and EP has not a positive impact on CA. This study is significant as it examines the combined impact of GSCM, GI, EP, and CA. Also, this study is important as it is the first study to examine the impact of GSCM practices on GI, EP, and CA in Türkiye.
Robotic Edge Intelligence for Energy-Efficient Human–Robot Collaboration
Authors: Cai Zhengying , Du Xiangyu , Huang Tianhao , Lv Tianrui , Cai Zhiheng , Gong Guoqiang
Published: November 2024

Energy-efficient human–robot collaboration poses significant challenges to the sustainable operation of production systems. Therefore, our work proposes novel robotic edge intelligence to address the issue. First, robotic edge intelligence is proposed to fully utilize the embedded computing capabilities of edge robots, and the state transition diagrams are developed for jobs, humans, and robots, respectively. Second, a multi-objective model is designed for the energy-efficient human–robot scheduling problem to evaluate the production performance and energy efficiency as a whole. Third, a heuristic algorithm is developed to search for the optimal solutions based on an artificial plant community, which is lightweight enough to be run on edge robots. Finally, a benchmark data set is developed, and a series of benchmark experiments are implemented to test the proposed system. The results demonstrate that the proposed method can effectively enhance energy efficiency and production performance with satisfying solution performance.
Historical Insights into CO2 Emission Dynamics in Urban Daily Mobility: A Case Study of Lyon’s Agglomeration
Authors: Jarboui Sami , Bouzouina Louafi , Alofaysan Hind
Published: November 2024

CO2 emissions from urban daily mobility play a major role in both environmental degradation, rising economic costs, and sustainability. Reducing these emissions not only advances environmental sustainability but also fosters economic development by enhancing public health, lowering energy consumption, and alleviating the financial strain caused by climate change. Understanding the dynamics of CO2 emissions from urban daily mobility provides valuable historical insights into environmental impacts and economic costs tied to urban development. This study takes a historical perspective, examining changes in CO2 emissions associated with daily mobility in the Lyon agglomeration across two decades, drawing on data from the 1995 and 2006 household travel surveys. Our findings reveal that individual factors such as gender, age, employment status, and income significantly influence CO2 emissions, with males and full-time workers exhibiting higher emissions. Furthermore, household characteristics, including size and vehicle ownership, are critical in shaping emission levels, while urban form variables such as population density and mixed land use demonstrate a negative correlation with emissions, highlighting the importance of urban planning in mitigating CO2 output. The analysis emphasizes that greater accessibility and proximity to essential services are vital in reducing individual emissions. Based on these insights, we discuss the implications for policy design, suggesting targeted strategies to enhance urban mobility, improve public transport accessibility, and promote sustainable urban development. Finally, we outline directions for future research to further explore the intricate relationship between urban characteristics and emissions, ultimately aiming to contribute to the development of effective climate policies.
Advances in Global Oyster Reef Restoration: Innovations and Sustainable Ecological Approaches
Authors: Jamil Asad , Ahmad Ambreen , Zhao Yong , Zhao Yuxuan , Yang Chen , Li Yanping , Tu Jianbo , Niu Fuxin , Kong Wenliang , Liu Xianhua
Published: November 2024

Oysters have been recognized as ecological engineers for aquatic ecosystems, as oyster reefs provide critical habitats and foraging locations for other marine species. In the past few decades, anthropogenic activities have negatively impacted oyster reef ecosystems across the globe, resulting in a significant decline in their population. This review critically examines the causes and extent of oyster reef degradation, as well as the effectiveness of restoration initiatives employed to reverse this decline. Furthermore, this review evaluates the effectiveness of restoration strategies employed to rehabilitate oyster reefs. Different approaches, such as genetic improvement, suitable site selection, and oyster seeding to enhance oyster reef restorations, are critically reviewed in this paper. Furthermore, some advanced restoration approaches such as 3D printing, shell recycling, and acoustics technologies are also discussed in this paper, which opens the new doors for researchers in the field of restoration ecology. Challenges and barriers hindering successful restoration are also addressed, including financial constraints, regulatory complexities, and public engagement. The findings and insights presented herein contribute to the growing body of knowledge on oyster reef ecology and serve as a valuable resource for policymakers, scientists, and conservation practitioners seeking effective strategies for restoring these vital coastal ecosystems.
Corporate ESG Performance, Green Innovation, and Green New Quality Productivity: Evidence from China
Authors: Ma Yan , Liu Pei , Chen Haonan
Published: November 2024

In recent years, China has placed significant emphasis on sustainable economic and social development, actively implementing the concept of green development. In 2023, General Secretary Xi Jinping proposed that all regions should actively develop new-quality productivity, signifying a deepening of green and sustainable development principles. As an internationally recognized indicator for measuring corporate sustainability, Environmental, Social, and Governance (ESG) criteria may influence the enhancement of new-quality productivity across regions, particularly in relation to green new quality productivity. This paper investigates the effects of corporate ESG performance on the levels of green and new-quality productivity using data from China’s A-share listed companies from 2013 to 2022. The findings reveal the following: (1) corporate ESG performance significantly enhances the level of green new quality productivity; (2) mechanism tests indicate that corporate ESG performance enhances green new quality productivity by promoting firms’ green innovation; and (3) further analysis shows that the effect of ESG performance on green new quality productivity is more pronounced in firms with low levels of financing constraints, high media attention, and elevated green awareness among executives. These findings provide empirical evidence for strengthening corporate ESG performance, promoting green innovation, elevating regional levels of green and new-quality productivity, and advancing sustainable development, thereby offering valuable insights for developing countries.
Influence of Subjective Factors on Window Use in Maternity Hospitals in Spring
Authors: Xiao Manxuan , Deng Wu , Ma Haipeng , Wu Jinshun , Zhou Tongyu , Zhu Jinsong , Wang Yasha , Pan Song
Published: November 2024

Poor indoor air quality in maternity hospitals can spread respiratory diseases; however, limited research exists on modifiable factors like occupant behavior. This study explores subjective drivers of window-opening in maternity wards, using surveys and on-site measurements. Results show 71.4% of respondents stay less than 14 days, leading to dynamic and irregular window behavior. Comfort, particularly thermal comfort, air quality, and circulation, is the main driver for window operations. Especially at low temperatures, pregnant women’s comfort plays a critical role, while other factors increase in importance as temperatures rise. The results show that environmental factors drive window-opening, while indoor comfort drives closing. Occupants are more tolerant to humidity than thermal discomfort, but window adjustments are random. Moreover, respondents prioritize others’ needs in closing windows, where outdoor noise often serves as a key factor. The time also had a greater impact on both window opening and closing decisions, while field measurements confirm that time influences window-opening more than closing. A Multivariate Analysis of Variance (MANOVA) analysis of the questionnaire data for ‘comfortable sensation’ showed that only ‘air circulation’ and ‘air humidity’ were correlated with comfort, whilst ‘heat sensation’ was the least correlated. The possible reason is that the questionnaire was conducted in the spring, when temperatures were within the comfort range, and therefore, occupants were more concerned with other factors. Window operations in maternity wards are a collective strategy for natural ventilation. This study shows that the factors affecting window use in maternity hospitals are different from other buildings, providing useful ideas for improving maternity ward design.
Geographic Information System and Contamination Indices for Environmental Risk Assessment of Landfill Disposal Sites in Central Saudi Arabia
Authors: Alharbi Talal , El-Sorogy Abdelbaset S. , Rikan Naji , Salem Yousef
Published: November 2024

Landfills pollute air, soil, and surface and groundwater worldwide. The present work aims to assess the environmental risks of three landfills in southern Riyadh using GIS, soil quality guidelines, and contamination indices. GIS tools indicated an increase in the area of the landfill sites with time. The concentration of heavy metals (HMs) in the investigated landfills had the following descending order: Fe (11,532 mg/kg) ˃ Al (5405 mg/kg) ˃ Pb (561.7 mg/kg) ˃ Zn (356.8 mg/kg) ˃ Mn (165 mg/kg) ˃ Cr (74.8 mg/kg) ˃ Cu (42.7 mg/kg) ˃ Ni (22.4 mg/kg) ˃ V (21.8 mg/kg) ˃ As (5.16 mg/kg) ˃ Co (4.08 mg/kg). The highest values of Al, As, Co, Ni, Pb, V, and Zn were recorded from Al Kharj road landfill (RL3). However, the average values of all HMs were lower than those from most worldwide soils and backgrounds, except for Zn, Cu, Cr, and Pb. Results of enrichment factor and statistical analysis indicated deficiency to minimal enrichment and geogenic sources for Al, Co, Mn, and V, while those of As, Cr, Pb, Zn, and Cu showed EF ˃ 2, which might be indicative of anthropogenic activities, especially in RL3. Additionally, very high contamination and a high effects range—median were reported in individual samples, especially for Pb, As, and Zn, indicating frequent adverse effects for these HMs. The difference in contamination for the HMs in the studied landfill sites might be attributed to the difference in the magnitude of input for each metal into the landfill site and/or the difference in the removal rate of each metal from it.
Invisible Treasures: Assessing Indonesia’s Unique Agrobiodiversity for Food and Nutrition Security
Authors: Borelli Teresa , Keim Ary , Sujarwo Wawan , Koostanto Haryanti , Pawera Lukas , Gullotta Gaia , Jalonen Riina , Lombardo Amea , Hunter Danny
Published: November 2024

Indonesia is a biodiversity hotspot with high levels of endemism of globally important food crops and their crop wild relatives, as well as locally adapted cultivars. This rich diversity is essential to Indonesia’s food and nutrition security, while underpinning the livelihood strategies of small-scale farmers (both men and women) and traditional communities, who act as guardians of this genetic heritage. However, many of Indonesia’s plant genetic resources for food and agriculture are experiencing genetic erosion due to increased crop uniformity and the reduced use and demand for local varieties. Changes in food preferences and consumption patterns have driven the species into agricultural neglect with only some smallholder farmers cultivating the species for cultural reasons. These problems are exacerbated by land-use changes and climate variability. Recognizing the imperative to conserve agrobiodiversity in the region to ensure future food security and sustain livelihoods, the status of conservation and sustainable use of taro, yams, cloves and nutmeg in three target provinces in Indonesia was assessed. Mixed-method analyses were used to document existing conservation efforts and what is currently known of these target crops’ conservation status, both in ex situ collections and in the field, to identify unique biodiversity, as well as the barriers and knowledge gaps on how to better conserve and use this unique genetic diversity for future generations.