bluuebunny/crossref_metadata_2025 huggingface dataset:
Studies on the Enzymatic Degradation Process of Epoxy-Polyurethane Compositions Obtained with Raw Materials of Natural Origin
Authors: Sienkiewicz Anna , Czub Piotr
Published: December 2024

Along with the development of technology and the increasing consumption of polymeric materials, which have become an integral part of man’s everyday life, problems related to their disposal are arising. The presented research concentrates on the studies on the enzymatic degradation of selected epoxy-polyurethane materials filled with 2 or 5 wt.% of waste unmodified or chemically modified through mercerization wood flour. Composites, subjected to the degradation process, contained up to 60% of raw materials of natural origin. The enzymatic degradation was carried out for 28 days, in three environmental conditions, differing in the type of applied buffer, pH, process temperature, the amount, and the type of applied enzyme. In this study, the influence of two lipases was tested (specifically: lipase of microbiological origin—Rhizopus Oryzae Lipase, and one of animal origin—Porcine Pancreas Lipase). There were seven compositions tested, based on the polyaddition product of epoxidized soybean oil with bisphenol A, differing in the amount of filler and the type of modification to which wood flour was subjected before the application in the polymer composite. After enzymatic degradation, the greatest progress of biodegradation was observed at T = 30 °C, in a complex phosphate buffer with pH = 6.8, in the presence of the Porcine Pancreas enzyme. Under these conditions, a slightly smaller effect was also observed in the presence of the Rhizopus Oryzae enzyme. At the same time, the compositions containing mercerized wood flour turned out to be the most susceptible to biodegradation with the above-mentioned enzymes. After conducting the process in the full 4-week cycle numerous changes were noticed within the tested sample, such as (1) 7.0 %wt. of the overall weight loss of samples, (2) reducing the value of the static contact angle (e.g., from 116.7° before degradation to 27.2° at the end of the study), and (3) morphological appearance of the sample (sample’s surface had suffered erosion noticed as smoothest roughnesses and numerous empty holes throughout its entire volume), concerning sample’s condition before enzymatic degradation.
The Impact of Selected Lachancea Yeast Strains on the Production Process, Chemical Composition and Aroma Profiles of Beers
Authors: Zdaniewicz Marek , Satora Paweł , Kania Paulina , Florkiewicz Adam
Published: December 2024

Changing trends in the brewing market show that breweries want to attract consumers with new products. New flavours and aromas in beer can be achieved by using various additives. However, non-Saccharomyces yeast strains make it possible to produce beer with an original sensory profile but according to a traditional recipe (without additives). The aim of this study was to evaluate the influence of 10 different yeast strains, belonging to the species Lachancea thermotolerans and L. fermentati, on the creation of different physico-chemical profiles in beers. For this purpose, the same malt wort with a 12°P extract, hopped with Octawia hops (8.4% alpha acids), was inoculated with the aforementioned yeast strains. The fermentation kinetics, the yeast’s ability to ferment sugars, the production of organic acids and glycerol and the formation of volatile compounds in the beer were monitored. The beers obtained were classified as low-alcohol and regular. In addition, some beers were measured to have a low pH, qualifying them as “sour” beers, which are currently gaining in popularity. Most interesting, however, was the effect of the selected Lachancea yeast strains on the composition of the beer volatiles. In the second stage of this study, the beers obtained were again subjected to a chromatographic analysis, this time using an olfactometric detector (GC-O). This analysis was dictated by the need to verify the actual influence of the compounds determined (GC-MS) on the creation of the final aroma profile. This study showed that selected strains of Lachancea thermotolerans and L. fermentati have very high brewing potential to produce different original beers from the same hopped wort.
Density Functional Theory Calculations and Infrared Spectral Analysis of Lignin
Authors: Miao Zhuang , Li Zhipeng , Teng Xing , Wang Han , Zhou Yingying , Qiu Yixin , Li Changming , Liu Chunyu , Tan Yong
Published: December 2024

Lignin is one of the building blocks of plant cell walls, and the study of the spectral characterization of its cleavage process can help to monitor the production and reuse of straw after decay. In this paper, four theoretical model structures of lignin formed by lignin G monomers and connected by β-O-4 bonding type were optimized and calculated based on the density functional theory using the B3LYP/3-21g and B3LYP/6-311g basis sets. The results showed that the theoretical infrared spectra of lignin increased sequentially in the absorption peaks of 1500 cm−1 blue shift and 2932 cm−1 and 1200 cm−1 red shift, while the latter three theoretical models showed new infrared absorption peaks of 716 cm−1 and 823 cm−1 due to the presence of the β-O-4 structure, which is of great value for the theoretical spectral study of organic macromolecules and also provides data support for the spectral change in lignin in the degradation of graminaceous plants.
Development of a Rapid UPLC Method for Analysis of Carotenoids in Goji Berry Extract and Evaluation of Their Transformation Affected by Saponification
Authors: Hsu Bo-Yang , Lin Chia-Hui , Kao Tsai-Hua
Published: December 2024

Goji berry (Lycium barbarum L.), also known as wolfberry, is a traditional Chinese medicinal herb widely utilized as a functional food ingredient throughout East Asia. In this study, we developed a rapid high performance liquid chromatography-diode array detection (HPLC-DAD) method for the simultaneous separation of carotenoids in goji berries. This method successfully separates 17 carotenoids and their esters within 21 min using a Sunrise C30 column, with detection at 450 nm, a flow rate of 1.3 mL/min, and a column temperature of 25 °C. Method validation showed intra-day precision ranging from 0.97% to 6.21% and inter-day precision from 0.99% to 7.01%, demonstrating this method effectively minimizes analysis time while providing high separation efficiency and sensitivity. Goji berries extracted with a mixture of n-hexane/ethanol/acetone (1:1:1, v/v/v) and then saponified with a 40% potassium hydroxide methanol solution can completely convert carotenoid esters into free monomer forms. The highest carotenoid content in goji berry was all-trans-zeaxanthin (1721.94 ± 81.01 μg/g), followed by 9- or 9′-cis-zeaxanthin (79.53 ± 3.92 μg/g), 15- or 15′-cis-zeaxanthin (43.71 ± 2.17 μg/g), 9- or 9′-cis-zeaxanthin (36.51 ± 1.81 μg/g), all-trans-β-cryptoxanthin (25.76 ± 1.55 μg/g), all-trans-β-carotene (5.71 ± 0.83 μg/g), and 13- or 13′-cis-β-carotene (0.86 ± 0.13 μg/g).
Application of Ordered Porous Silica Materials in Drug Delivery: A Review
Authors: Liu Wenwen , Wu Junlin , Jiang Zehao , Zhang Xinyu , Wang Zhenxiang , Meng Fanjun , Liu Zidi , Zhang Teng
Published: December 2024

Nanotechnology has significantly advanced various fields, including therapeutic delivery, through the use of nanomaterials as drug carriers. The biocompatibility of ordered porous silica materials makes them promising candidates for drug delivery systems, particularly in the treatment of cancer and other diseases. This review summarizes the use of microporous zeolites and mesoporous silica materials in drug delivery, focusing on their physicochemical properties and applications as drug carriers. Special emphasis is placed on strategies for encapsulation and functionalization, highlighting their role in enhancing drug loading and enabling targeted delivery. In conclusion, while ordered porous silica materials hold great potential for drug delivery systems, certain challenges remain.
Advances and Challenges in Tracking Interactions Between Plants and Metal-Based Nanoparticles
Authors: Zhang Kena , Liu Qingmeng , Wang Yukun , Liu Xigui , Zhou Xiaoxia , Yan Bing
Published: December 2024

Metal-based nanoparticles (MNPs) are increasingly prevalent in the environment due to both natural processes and human activities, leading to direct interactions with plants through soil, water, and air exposure that can have beneficial and detrimental effects on plant growth and health. Understanding the uptake, translocation, and transformation of MNPs in plants is crucial for assessing environmental risks and leveraging nanotechnology in agriculture. However, accurate analysis of MNPs in plant tissues poses significant challenges due to complex plant matrices and the dynamic nature of nanoparticles. This short review summarizes recent advances in analytical methods for determining MNP–plant interactions, focusing on pre-processing and quantitative nanoparticle analysis. It highlights the importance of selecting appropriate extraction and analytical techniques to preserve nanoparticle integrity and accurate quantification. Additionally, recent advances in mass spectrometry, microscopy, and other spectroscopic techniques that improve the characterization of MNPs within plant systems are discussed. Future perspectives highlight the need to develop real-time in situ monitoring techniques and sensitive tools for characterizing nanoparticle biotransformation.
Carbon-Nanotube-Based Superhydrophobic Magnetic Nanomaterial as Absorbent for Rapid and Efficient Oil/Water Separation
Authors: Kudaibergenova Rabiga M. , Roman Fernanda F. , Silva Adriano S. , Sugurbekova Gulnar K.
Published: December 2024

In this work, the simple fabrication of a new superhydrophobic magnetic sponge based on CNTs, NiFe2O4 nanoparticles, and PDMS was investigated. CNTs were synthesized by chemical vapor deposition (CVD) on a nickel ferrite catalyst supported on aluminum oxide (NiFe2O4/Al2O3). The synthesis of nickel ferrite (NiFe) was accomplished using the sol–gel method, yielding magnetic nanoparticles (43 Am2kg−1, coercivity of 93 Oe, 21–29 nm). A new superhydrophobic magnetic PU/CNT/NiFe2O4/PDMS sponge was fabricated using a polyurethane (PU) sponge, CNTs, NiFe2O4 nanoparticles, and polydimethylsiloxane (PDMS) through the immersion coating method. The new PU/CNT/NiFe2O4/PDMS sponge exhibits excellent superhydrophobic/oleophilic/mechanical properties and water repellency (water absorption rate of 0.4%) while having good absorption of oil, olive oil, and organic liquids of different densities (absorption capacity of 21.38 to 44.83 g/g), excellent separation efficiency (up to 99.81%), the ability to be reused for removing oil and organic solvents for more than 10 cycles, and easy control and separation from water using a magnet. The new PU/CNT/NiFe2O4/PDMS sponge is a promising candidate as a reusable sorbent for collecting oil and organic pollutants and can also be used as a hydrophobic filter due to its excellent mechanical properties.
Nutritional Management of Patients with Inborn Errors of Metabolism
Authors: Couce María-Luz , Vitoria Isidro
Published: December 2024

Inborn errors of metabolism (IEM) are a large group of single-gene disorders resulting from enzyme defects in biochemical and metabolic pathways [...]
Mediation Effect of Oxidative Stress on Association Between Selenium Intake and Cognition in American Adults
Authors: Li Jia-Meng , Bai Ya-Zhi , Liu Quan-Ying , Zhang Shuang-Qing
Published: December 2024

Objectives: Dementia affects millions of aged people globally and mainly results from oxidative stress. Selenium shows beneficial effects on dementia however it remains elusive for the mediation effect of oxidative stress on the association between selenium and cognition. The present study firstly investigated the potential mediation role of oxidative stress on the relationship of selenium and cognition. Methods: A total of 2154 adults aged 60 years and older from the National Health and Nutrition Examination Survey 2011–2014 were selected for the study. Weighted multivariate linear regression, weighted logistic regression, and mediation effect analysis were employed to investigate the association among selenium intake, cognition, and oxidative stress. Results: Selenium intake was positively associated with cognition, albumin, and vitamin D, negatively associated with uric acid, and exhibited no correlation with gamma glutamyl transpeptidase (GGT). Cognition was positively correlated with albumin and vitamin D, negatively related to GGT, and had no association with uric acid. Albumin and vitamin D significantly mediated the relationship between selenium intake and cognition, and the mediation proportion values of albumin and vitamin D were 3.85% and 8.02%, respectively. Conclusions: For the first time, our findings demonstrated that higher selenium intake decreased cognitive impairment and oxidative stress levels. Moreover, the relationship between selenium intake and cognition was mediated by oxidative stress.
Curcumin Attenuates Hyperglycemia and Inflammation in Type 2 Diabetes Mellitus: Quantitative Analysis of Randomized Controlled Trial
Authors: Mokgalaboni Kabelo , Mashaba Reneilwe G. , Phoswa Wendy N. , Lebelo Sogolo L.
Published: December 2024

Controlling hyperglycemia and inflammation in type 2 diabetes (T2D) remains an important approach to control diabetes. The use of phytochemicals found in natural herbs has been investigated widely, and there are inconsistent findings in clinical trials, likely associated with a small sample size. A meta-analysis of clinical trials was performed by conducting a comprehensive literature search on PubMed, Scopus, EBSCOHost, and Web of Sciences. The search terms included Curcumin longa, turmeric, curcumin, curcuma xanthorrhiza, diferuloylmethane, and type 2 diabetes. Data were analyzed using an online meta-analysis tool, Jamovi version 2.4.8 and IBM SPSS statistics version 29. The data were reported as either mean difference (MD) or standard mean difference (SMD) and 95% confidence intervals. The evidence from 18 trials with 1382 T2D with a mean age of 55.9 years was analyzed. Supplementation with curcumin led to a significant decrease in fasting blood glucose, MD = −11.48 mg/dL, 95%CI (−14.26, −8.70), p < 0.01 and glycated hemoglobin, MD = −0.54%, 95%CI (−0.73, −0.35), p < 0.01. Additionally, there was a significant decrease in C-Reactive Protein in curcumin compared to a placebo, SMD = −0.59, 95%CI (−1.11, −0.07), p = 0.03. The findings observed in this study suggest that curcumin can ameliorate hyperglycemia and inflammation in T2D compared to a placebo. While the potential benefits were observed, it is recommended that future trials focus on finding a suitable dose and duration of intervention and incorporate formulation in curcumin to enhance its absorption.
Nutri-Score in the European Food Retail Supply: A Potential Incentive for Food Reformulation?
Authors: Steenbergen Elly , Beulens Joline , Temme Elisabeth
Published: December 2024

Background: To improve consumers’ diet, policy measures such as food reformulation strategies and front-of-pack nutritional labels (FOPNLs) are implemented, aiming to guide consumers’ food choice and to stimulate an improvement in food composition by manufacturers. The FOPNL Nutri-Score has been implemented in several European countries. Changes in food compositions in relation to the Nutri-Score over time have been limitedly studied. This study evaluates food compositions in Europe over time, and if changes in compositions of the food supply could have potentially resulted in changes in Nutri-Score classifications of foods. Materials and Methods: Food composition data were available from EUREMO, from which bread products, breakfast cereals, hot sauces, and processed potato products from Austria, Belgium, Finland, Italy, and the United Kingdom from 2019 to 2021 were selected (n = 2260). Of these countries, only Belgium had implemented the Nutri-Score in 2019. Distributions of food compositions and Nutri-Score classifications were calculated and changes in median salt, sugar, and saturated fatty acids content were plotted by food group, country and year. Distribution of the final sum of Nutri-Score points was plotted by nutrient, food group, country and year. Results: Overall, more favourable Nutri-Score classifications (i.e., towards Nutri-Score classification A) were observed in most of the selected food groups and countries over the years, due to the influence of specific nutrients such as salt in breakfast cereals (lower median of 0.1–0.4 g/100 g) and processed potato products (lower median of 0.1–1.2 g/100 g); and sugar in processed potato products (lower median of 0.1–1.9 g/100 g) and bread products (lower median of 0.7–2.2 g/100 g). For nutrient contents in other food groups, no consistent changes were observed. Conclusions: Changes in the compositions of the food supply resulted in favourable changes in Nutri-Score classifications, suggesting a potential for food reformulation. Monitoring after the actual implementation of Nutri-Score is recommended.
Repurposing Osimertinib and Gedatolisib for Glioblastoma Treatment: Evidence of Synergistic Effects in an In Vitro Phenotypic Study
Authors: de São José Vitória Santório , Vieira Bruno Marques , Neto Vivaldo Moura , Lima Lidia M.
Published: December 2024

Background/Objectives: Glioblastoma is a malignant tumor with a poor prognosis for the patient due to its high lethality and limited chemotherapy available. Therefore, from the point of view of chemotherapy treatment, glioblastoma can be considered an unmet medical need. This has led to the investigation of new drugs for monotherapy or associations, acting by synergistic pharmacological mechanisms. Methods: Here, we propose the combination of Osimertinib (a potent EGFR inhibitor) and Gedatolisib (a potent PI3K/mTOR dual inhibitor) through an in vitro phenotypic study using five human GB lines and establish the cytotoxic potency, selectivity, and effect on proliferation, apoptosis, and cell cycle by simultaneously inhibiting EGFR, PI3K, and mTOR. Results: Cytotoxic potency of Gedatolisib and Osimertinib in the selected GB cell lines was determined, which highlighted the synergistic response from their combination and its impact on migration reduction, G0/G1 cell cycle arrest, GB cytotoxicity, and apoptosis-inducing effects for different GB cell lines. Conclusions: From the drug combination studies in phenotypic in vitro models, it was possible to suggest a new potential treatment for glioblastoma that justifies further safe in vivo phases of preclinical trials with the combination.
Description and Modeling of Relevant Demographic and Laboratory Variables in a Large Oncology Cohort to Generate Virtual Populations
Authors: Pérez-Ramos Laura , Ibarra-Gómez Laura , Lubomirov Rubin , García-Cremades María , Asín-Prieto Eduardo , Fudio Salvador , Zubiaur Pablo
Published: December 2024

Background/Objectives: Pathophysiological variability in patients with cancer is associated with differences in responses to pharmacotherapy. In this work, we aimed to describe the demographic characteristics and hematological, biochemical, and coagulation variables in a large oncology cohort and to develop, optimize, and provide open access to modeling equations for the estimation of variables potentially relevant in pharmacokinetic modeling. Methods: Using data from 1793 patients with cancer, divided into training (n = 1259) and validation (n = 534) datasets, a modeling network was developed and used to simulate virtual oncology populations. All analyses were conducted in RStudio 4.3.2 Build 494. Results: The simulation network based on sex, age, biogeographic origin/ethnicity, and tumor type (fixed or primary factors) was successfully validated, able to predict age, height, weight, alpha-1-acid glycoprotein, albumin, hemoglobin, C-reactive protein and lactate dehydrogenase serum levels, platelet–lymphocyte and neutrophil–lymphocyte ratios, and hematocrit. This network was then successfully extrapolated to simulate the laboratory variables of eight oncology populations (n = 1200); only East Asians, Sub-Saharan Africans, Europeans, only males, females, patients with an ECOG performance status equal to 2, and only patients with pancreas cancer or ovarian cancer. Conclusions: this network constitutes a valuable tool to predict relevant characteristics/variables of patients with cancer, which may be useful in the evaluation and prediction of pharmacokinetics in virtual oncology populations, as well as for model-based optimization of oncology treatments.
Biosynthesis of Palladium Nanoparticles by Using Aqueous Bark Extract of Quercus dalechampii, Q. frainetto, and Q. petraea for Potential Antioxidant and Antimicrobial Applications
Authors: Coman Nastaca-Alina , Babotă Mihai , Nicolescu Alexandru , Nicolae-Maranciuc Alexandra , Berta Lavinia , Man Adrian , Chicea Dan , Farczadi Lenard , Tanase Corneliu
Published: December 2024

This study aimed to synthesize palladium nanoparticles (PdNPs) using bioactive compounds from aqueous extracts of Quercus species (Quercus dalechampii, Quercus frainetto, and Quercus petraea) with potential biomedical applications. To optimize PdNPs biosynthesis, various parameters were explored, including the concentration of PdCl2, the extract-to-PdCl2 ratio, and the pH of the solution. The nanoparticles were characterized using ultraviolet/visible spectroscopy (UV/Vis), Fourier-transform infrared spectroscopy (FTIR), and dynamic light scattering (DLS). Total polyphenol content was measured using the Folin–Ciocâlteu method, while antioxidant capacity was evaluated through radical neutralization assays, including ABTS and DPPH, and through iron and copper reduction tests. Antimicrobial activity was tested against Gram-positive and Gram-negative bacteria, as well as Candida species. Phenolic compounds and flavonoids from the extracts were essential for the reduction in palladium ions and the stabilization of the nanoparticles. UV/Vis spectroscopy showed a distinct surface plasmon resonance peak, indicating the successful formation of PdNPs. FTIR analysis confirmed the interaction between the bioactive compounds and PdNPs, revealing characteristic peaks of phenolic groups. DLS analysis indicated a hydrodynamic diameter of 63.9 nm for QD-PdNPs, 48 nm for QF-PdNPs, and 63.1 nm for QP-PdNPs, highlighting good dispersion and stability in solution. Although the PdNPs did not exhibit strong antioxidant properties, they demonstrated selective antimicrobial activity, especially against Staphylococcus aureus and methicillin-resistant Staphylococcus aureus (MRSA). PdNPs also exhibited significant antifungal activity against Candida krusei, with a minimum inhibitory concentration (MIC) of 0.63 mg/mL, indicating their ability to compromise fungal cell integrity. This study contributes to developing eco-friendly biosynthesis methods for metallic nanoparticles and underscores the potential of PdNPs in various applications, including in the biomedical field.
Echinacea purpurea and Onopordum acanthium Combined Extracts Cause Immunomodulatory Effects in Lipopolysaccharide-Challenged Rats
Authors: Vlasheva Maria , Katsarova Mariana , Kandilarov Ilin , Zlatanova-Tenisheva Hristina , Gardjeva Petya , Denev Petko , Sadakova Nora , Filipov Viktor , Kostadinov Ilia , Dimitrova Stela
Published: December 2024

Echinacea purpurea and Onopordum acanthium, which belong to the Asteraceae family, are widely used plants in traditional medicine. Their antioxidant, anti-inflammatory, antiviral, antibacterial, and antitumor effects are well known. However, there are no data on the effects of their combination. The aim of the present study was to combine E. purpurea with O. acanthium to study the in vivo immunomodulatory effect of two combinations and to compare it with that of single plants. Their total polyphenolic and flavonoid content and the amounts of individual compounds characteristic of both species were determined. The influence of the obtained extracts on the serum concentrations of cytokines IFN-γ, TNF-α, and IL-10 in experimental animals with lipopolysaccharide-induced systemic inflammatory response was investigated. This research found that a combination of E. purpurea/O. acanthium in the ratio 1:1 reduced the proinflammatory cytokines TNF-α (244.82 pg/mL) and IFN-γ (1327.92 pg/mL) compared to the LPS-control, respectively, (574.17 pg/mL) and (3354.00 pg/mL), and the combination E. purpurea/O. acanthium in the ratio of 3:1 significantly increased the levels of the anti-inflammatory cytokine IL-10 (1313.95 pg/mL) compared to the LPS-control (760.09 pg/mL). In conclusion, our results could be a basis for future biomedical research on creating phytopreparations with an immunomodulatory effect.
Comparative Analysis of Solvent Casting and Pickering Emulsion Techniques for Improving the Mechanical Properties of Surface-Modified Cellulose Nanomaterial-Reinforced Polylactic Acid Composites
Authors: Bolat Faik , Necolau Madalina Ioana , Bîru Elena Iuliana , Zaharia Anamaria , Iovu Horia
Published: December 2024

In the present work, solvent casting and Pickering emulsion methods are studied to enhance the mechanical properties of polylactic acid (PLA) composites containing surface-modified cellulose nanomaterials. To enhance the compatibility and the adhesion at the interface, cellulose nanocrystal (CNC) was functionalized by 2,4-methylene diphenyl diisocyanate (MDI) and castor oil. Their results demonstrated that the Pickering emulsion method led to better dispersion of CNC in composites, resulting in improved tensile strength, flexibility, and thermal stability (compared with solvent-casted ones). In particular, the tensile strength increased by 20% and the crystallinity increased by 15% using the Pickering emulsion technique, indicating their potential as a new generation of sustainable packaging. The findings of this research could help in creating eco-friendly packaging options by improving the mechanical features of biodegradable composites and exploring potential alternatives to overcome their limitations.
Producing and Characterizing Polyhydroxyalkanoates from Starch and Chickpea Waste Using Mixed Microbial Cultures in Solid-State Fermentation
Authors: Grgurević Karlo , Bramberger Dora , Miloloža Martina , Stublić Krešimir , Ocelić Bulatović Vesna , Ranilović Jasmina , Ukić Šime , Bolanča Tomislav , Cvetnić Matija , Markić Marinko , Kučić Grgić Dajana
Published: December 2024

The environmental impact of plastic waste is a growing global challenge, primarily due to non-biodegradable plastics from fossil resources that accumulate in ecosystems. Biodegradable polymers like polyhydroxyalkanoates (PHAs) offer a sustainable alternative. PHAs are microbial biopolymers produced by microorganisms using renewable substrates, including agro-industrial byproducts, making them eco-friendly and cost-effective. This study focused on the isolation and characterization of PHA-producing microorganisms from agro-industrial waste, including chickpeas, chickpeas with bean residues, and starch. Screening via Sudan Black staining identified PHA-accumulating strains such as Brevibacillus sp., Micrococcus spp., and Candida krusei, among others. To assess the potential for PHA biosynthesis, solid-state fermentation (SSF) was conducted using agro-industrial waste as substrates, along with a mixed culture of the isolated microorganisms. The highest observed yield was a PHA accumulation of 13.81%, achieved with chickpeas containing bean residues. Structural and thermal characterization of the PHAs was performed using Fourier-transform infrared spectroscopy with attenuated total reflectance (FTIR-ATR), differential scanning calorimetry (DSC), and thermogravimetric analysis (TGA). FTIR-ATR spectra indicated polyhydroxybutyrate (PHB), suggesting it as the synthesized PHA type. This study highlights the potential of agro-industrial waste for sustainable PHA production and eco-friendly bioplastics.
“Das Eine Ist Verbunden Mit Gott, Das Andere Aber Auch”: Service Provision as Part of Religious Life in an Eritrean Orthodox Community in Berlin, Germany
Authors: Trotta Susanna
Published: December 2024

Despite a growing body of academic literature on religion and migration, there is limited focus on the roles of migrant religious communities and on how religious everyday practices intersect with migration and its implications. This study seeks to address these issues from a post- and decolonial perspective, through the analysis of the activities of the St. Georgis Eritrean orthodox church in Berlin. It draws on material collected through semi-structured interviews, participant observation, and primary text analysis between 2023 and 2024. Some of the main findings include the fact that the church provides a range of services to its members, e.g., family conflict resolution sessions and specific meetings for families with children with disabilities, which address some of the issues that the community itself chooses to prioritise and that are not addressed by other service providers. Analysing the establishment of the church and its social activities, this article focuses on the agency of the congregation and how it challenges Northern/Western religion and migration frameworks, with a specific focus on its religious dimension.
Multi-Platform Collaboration in Integrated Surveying: Ensuring Completeness and Reliability of Geospatial Data—A Case Study
Authors: Gawronek Pelagia , Klapa Przemysław , Sochacki Damian , Piaseczna Kinga
Published: December 2024

Multi-platform geospatial data synergy is critical for complete and reliable surveys. This study investigates various methods for combining data from terrestrial laser scanning (TLS), orthophotos, databases of topographic objects, utility databases, tacheometry, and GNSS to assess and improve positioning accuracy and consistency of data in spatial databases. The study highlights the challenges and solutions regarding integrating various datasets to yield a complete and reliable geospatial database for building surveys and the construction and keeping of spatial databases. Input from diversified surveying technologies, such as TLS, GNSS, and orthophotos, offers detailed and precise data necessary to create and update accurate base maps and databases of topographic objects. A complete survey of a structure and its surroundings demonstrates how the synergistic application of diverse data sources helps improve the positioning accuracy and consistency of spatial databases. The results indicate the importance of multi-platform collaboration for high data quality standards in surveying, which is critical for effective planning and implementation of surveying projects.
Storage Tank Target Detection for Large-Scale Remote Sensing Images Based on YOLOv7-OT
Authors: Wan Yong , Zhan Zihao , Ren Peng , Fan Lu , Liu Yu , Li Ligang , Dai Yongshou
Published: December 2024

Since industrialization, global greenhouse gas emissions have gradually increased. Storage tanks, as industrial facilities for storing fossil energy, are one of the main sources of greenhouse gas emissions. Using remote sensing images to detect and locate storage tank targets over a large area can provide data support for regional air pollution prevention, control, and monitoring. Due to the circular terrain on the ground and the circular traces caused by human activities, the target detection model has a high false detection rate when detecting tank targets in large-scale remote sensing images. To address the above problems, a YOLOv7-OT model for tank target detection in large-scale remote sensing images is proposed. This model proposes a data pre-processing method of edge re-stitching for large-scale remote sensing images, which reduces the target loss caused by the edge of the image without losing the target information. In addition, to address the problem of small target detection, the CBAM is added to the YOLOv7 backbone network to improve the target detection accuracy under complex backgrounds. Finally, in response to the model’s misjudgment of targets during detection, a data post-processing method combining the spatial distribution characteristics of tanks is proposed to eliminate the misdetected targets. The model was evaluated on a self-built large-scale remote sensing dataset, the model detection accuracy reached 90%, and the precision rate reached 95.9%. Its precision rate and detection accuracy are better than those of the other three classic target detection models.
Real-Time Environmental Contour Construction Using 3D LiDAR and Image Recognition with Object Removal
Authors: Wu Tzu-Jung , He Rong , Peng Chao-Chung
Published: December 2024

In recent years, due to the significant advancements in hardware sensors and software technologies, 3D environmental point cloud modeling has gradually been applied in the automation industry, autonomous vehicles, and construction engineering. With the high-precision measurements of 3D LiDAR, its point clouds can clearly reflect the geometric structure and features of the environment, thus enabling the creation of high-density 3D environmental point cloud models. However, due to the enormous quantity of high-density 3D point clouds, storing and processing these 3D data requires a considerable amount of memory and computing time. In light of this, this paper proposes a real-time 3D point cloud environmental contour modeling technique. The study uses the point cloud distribution from the 3D LiDAR body frame point cloud to establish structured edge features, thereby creating a 3D environmental contour point cloud map. Additionally, unstable objects such as vehicles will appear during the mapping process; these specific objects will be regarded as not part of the stable environmental model in this study. To address this issue, the study will further remove these objects from the 3D point cloud through image recognition and LiDAR heterogeneous matching, resulting in a higher quality 3D environmental contour point cloud map. This 3D environmental contour point cloud not only retains the recognizability of the environmental structure but also solves the problems of massive data storage and processing. Moreover, the method proposed in this study can achieve real-time realization without requiring the 3D point cloud to be organized in a structured order, making it applicable to unorganized 3D point cloud LiDAR sensors. Finally, the feasibility of the proposed method in practical applications is also verified through actual experimental data.
Country-Scale Crop-Specific Phenology from Disaggregated PROBA-V
Authors: Rivas Henry , Delbart Nicolas , Maignan Fabienne , Vaudour Emmanuelle , Ottlé Catherine
Published: December 2024

Large-scale crop phenology monitoring is essential for agro-ecosystem policy. Remote sensing helps track crop development but requires high-temporal and spatial resolutions. While datasets with both attributes are now available, their large-scale applications require significant resources. Medium-resolution data offer daily observations but lack detail for smaller plots. This study generated crop-specific phenomaps for mainland France (2016–2020) using PROBA-V data. A spatial disaggregation method reconstructed NDVI time series for individual crops within mixed pixels. Then, phenometrics were extracted from disaggregated PROBA-V and Sentinel-2 separately and compared to observed phenological stages. Results showed that PROBA-V-based phenomaps closely matched observations at regional level, with moderate accuracy at municipal level. PROBA-V demonstrated a higher detection rate than Sentinel-2, especially in cloudy periods, and successfully generated phenomaps before Sentinel-2B’s launch. The study highlights PROBA-V’s potential for operational crop monitoring, i.e., wheat heading and oilseed rape flowering, with performance comparable to Sentinel-2. PROBA-V outputs complement Sentinel-2: phenometrics cannot be generated at plot level but are efficiently produced at regional or national scales to study phenological gradients more easily than with Sentinel-2 and with similar accuracy. This approach could be extended to MODIS or SPOT-VGT, to generate historical phenological data, providing that a crop map is available.
SolarGAN for Meso-Level Solar Radiation Prediction at the Urban Scale: A Case Study in Boston
Authors: Lu Yijun , Li Xinru , Wu Siyuan , Wang Yuankai , Qiu Waishan , Chen Da , Li Yifan
Published: December 2024

Evaluating solar radiation distribution at the urban scale is crucial for optimizing the placement and size of solar installations and managing urban heat. This study introduces a method for predicting urban solar radiation using 2D mapping data, applying a Generative Adversarial Network (GAN) model to the city of Boston. Traditional solar radiation simulation methods, such as 3D modeling and satellite imagery, require complex and resource-intensive data inputs. In contrast, this research allows open-source 2D urban geographic information—such as building footprints, heights, and terrain—to predict solar radiation at various spatial scales (150 m, 300 m, and 500 m). The GAN model, using detailed 3D urban modeling and simulation results, trained paired datasets of geographic information and solar radiation heatmaps. It achieved high accuracy and resolution, with the 300 m scale model demonstrating the best performance (R2 = 0.864). The model’s capability to generate high-resolution (2 m) solar radiation maps from simplified inputs demonstrates the potential of GANs for urban climate data prediction, offering a rapid and efficient alternative to traditional methods. This approach holds significant potential for urban planning, particularly in optimizing photovoltaic (PV) system layouts and managing the UHI effect.
Editorial to Special Issue “Multispectral Image Acquisition, Processing and Analysis—2nd Edition”
Authors: Vozel Benoit , Lukin Vladimir , Bazi Yakoub
Published: December 2024

Modern means of remote sensing (RS) in general and multispectral imaging in particular have experienced rapid development in recent years [...]
YOLO-OD: Obstacle Detection for Visually Impaired Navigation Assistance
Authors: Wang Wei , Jing Bin , Yu Xiaoru , Sun Yan , Yang Liping , Wang Chunliang
Published: December 2024

Visually impaired individuals frequently encounter difficulties in detecting and avoiding obstacles in the wild. To address this issue, we propose an obstacle detection method for visual navigation assistance, named YOLO-OD. To improve the ability to detect and differentiate between different sized obstacles in outdoor environments, we introduce the Feature Weighting Block (FWB), which improves feature importance discrimination. To address the challenges of detecting cluttered outdoor environments and handling occlusions, we introduce the Adaptive Bottleneck Block (ABB), which captures varying features across different scenes. To solve the problem of detecting relatively small obstacles in outdoor environments, we propose the Enhanced Feature Attention Head (EFAH). The proposed YOLO-OD achieves an average precision of 30.02% on a public dataset, making it a worth studying approach for blind and visually impaired navigation aids.Our study effectively addresses the navigation challenges faced by visually impaired individuals by improving model performance, thereby enhancing its practical values. The code for YOLO-OD has been made publicly available to ensure reproducibility and facilitate further research.
Garment Recognition and Reconstruction Using Object Simultaneous Localization and Mapping
Authors: Zhang Yilin , Hashimoto Koichi
Published: December 2024

The integration of robotics in the garment industry remains relatively limited, primarily due to the challenges in the highly deformable nature of garments. The objective of this study is thus to explore a vision-based garment recognition and environment reconstruction model to facilitate the application of robots in garment processing. Object SLAM (Simultaneous Localization and Mapping) was employed as the core methodology for real-time mapping and tracking. To enable garment detection and reconstruction, two datasets were created: a 2D garment image dataset for instance segmentation model training and a synthetic 3D mesh garment dataset to enhance the DeepSDF (Signed Distance Function) model for generative garment reconstruction. In addition to garment detection, the SLAM system was extended to identify and reconstruct environmental planes, using the CAPE (Cylinder and Plane Extraction) model. The implementation was tested using an Intel Realsense® camera, demonstrating the feasibility of simultaneous garment and plane detection and reconstruction. This study shows improved performance in garment recognition with the 2D instance segmentation models and an enhanced understanding of garment shapes and structures with the DeepSDF model. The integration of CAPE plane detection with SLAM allows for more robust environment reconstruction that is capable of handling multiple objects. The implementation and evaluation of the system highlight its potential for enhancing automation and efficiency in the garment processing industry.
Improving Electrical Stimulation Effectiveness and Versatility for Non-Invasive Transdermal Monitoring Applications via an Innovative Mixed-Signal Electronic Interface
Authors: Zompanti Alessandro , Ciarrocchi Davide , Grasso Simone , Olivieri Riccardo , Ferri Giuseppe , Santonico Marco , Pennazza Giorgio
Published: December 2024

Electrical stimulation can be used in several applications such as fatigue reduction, muscle rehabilitation, neurorehabilitation, neuro-prosthesis and pain relief. Moreover, electrical stimulation can be used for drug delivery applications or body fluids extraction (e.g., sweat and interstitial fluid) to successively monitor several parameters, such as glucose, lactate, etc. All these applications are performed using electrical stimulator devices capable of applying constant voltage pulses or constant current pulses via electrodes to human tissues. Usually, constant current stimulators are most widely used because of their safety, stability, and repeatability. Thus, the aim of this work was to design, realize and test a mixed-signal electronic interface capable of producing current pulses with custom amplitude, duration, frequency, polarity and symmetry with extended voltage compliance. To achieve this result, we developed a high-voltage current stimulator suitable for iontophoresis applications. Current stimuli can be applied setting the intensity, frequency and duty cycle of the stimulation patterns through a µC. A custom electronic interface was designed to allow the control of the injected current in real time and to prevent electrical injuries to the patient by avoiding potential unwanted short circuits. Moreover, the system was tested in a simulated environment demonstrating its effectiveness and applicability for transdermal monitoring applications. The obtained results show that the device is able to apply monophasic and biphasic pulses, ranging from 0.1 to 10 mA, with a maximum error of about 10% at the minimum intensity; in addition, current stimuli can be applied up to a maximum frequency of 100 kHz with a voltage compliance of 120 V.
IGBT Overcurrent Capabilities in Resonant Circuits
Authors: Al-Hadithi Basil Mohammed , Jimenez Miguel
Published: December 2024

The control of IGBT (insulated gate bipolar transistor) and MOSFET (metal oxide semiconductor field effect transistor) is of great interest nowadays as they are widely used in electric vehicles, photovoltaic applications, and a multitude of systems. The field of power electronics and their correct activation ensures that the transistors are operated without being destroyed. In this work, a double resonant transformer was built and used to produce very high currents. These currents are switched by a full bridge of resonant IGBT transistors to demonstrate the feasibility of exceeding the maximum permissible transistor currents in a resonant system. The system is controlled by the feedback from two current sensors. In this case the currents exceed in a 170% the peak current of the transistor without problems. In this way, resonant circuits with IGBT transistors can be designed with currents lower than the maximum currents of the resonant circuit, therefore reducing the cost of the circuit and reducing the switching losses to nearly zero.
Investigation of 3D Printed Self-Sensing UHPC Composites Using Graphite and Hybrid Carbon Microfibers
Authors: Liu Han , Laflamme Simon , Cai Bin , Lyu Ping , Sritharan Sri , Wang Kejin
Published: December 2024

This paper explores the development of 3D-printed self-sensing Ultra-High Performance Concrete (UHPC) by incorporating graphite (G) powder, milled carbon microfiber (MCMF), and chopped carbon microfiber (CCMF) as additives into the UHPC matrix to enhance piezoresistive properties while maintaining workability for 3D printing. Percolation curves were established to identify optimal filler inclusion levels, and a series of compressive tests, including quasi-static cyclic, dynamic cyclic, and monotonic compressive loading, were conducted to evaluate the piezoresistive and mechanical performance of 29 different mix designs. It was found that incorporating G powder improved the conductivity of the UHPC but decreased compressive strength for both mold-cast and 3D-printed specimens. However, incorporating either MCMF or CCMF into the UHPC resulted in the maximum 9.8% and 19.2% increase in compressive strength and Young’s modulus, respectively, compared to the plain UHPC. The hybrid combination of MCMF and CCMF showed particularly effective in enhancing sensing performance, achieving strain linearity over 600 με. The best-preforming specimens (3G250M250CCMF) were fabricated using 3 wt% of G, 0.25 wt% of MCMF, and 0.25 wt% of CCMF, yielding a maximum strain gauge factor of 540, a resolution of 68 με, and an accuracy of 4.5 με under axial compression. The 3D-printed version of the best-performing specimens exhibited slightly diminished piezoresistive and mechanical behaviors compared to their mold-cast counterparts, yielding a maximum strain gauge factor of 410, a resolution of 99 με, and an accuracy of 8.6 με.
Few-Mode Fiber with Low Spontaneous Raman Scattering for Quantum Key Distribution and Classical Optical Communication Coexistence Systems
Authors: Zhao Qi , Tang Jianjun , Kong Weiwen , Zhao Zhenyu , Zheng Jingjing , Liu Yang
Published: December 2024

In this paper, the theoretical model of spontaneous Raman scattering (SpRS) in few-mode fiber (FMF) is discussed. The influence of SpRS on quantum key distribution (QKD) in FMF is evaluated by combining wavelength division multiplexing (WDM) and space division multiplexing (SDM) techniques. On this basis, an improved ring-assisted FMF is designed and characterized; the transmission distance can be increased by up to 54.5% when choosing different multi-channels. The effects of forward and backward SpRS on QKD are also discussed.