bluuebunny/crossref_metadata_2025 huggingface dataset:
Plants’ Impact on the Human Brain—Exploring the Neuroprotective and Neurotoxic Potential of Plants
Authors: Moise Georgiana , Jîjie Alex-Robert , Moacă Elena-Alina , Predescu Iasmina-Alexandra , Dehelean Cristina Adriana , Hegheș Alina , Vlad Daliborca Cristina , Popescu Roxana , Vlad Cristian Sebastian
Published: October 2024

Background: Plants have long been recognized for their potential to influence neurological health, with both neuroprotective and neurotoxic properties. This review explores the dual nature of plant-derived compounds and their impact on the human brain. Discussion: Numerous studies have highlighted the neuroprotective effects of various phytoconstituents, such as those found in Ginkgo biloba, Centella asiatica, Panax ginseng, Withania somnifera, and Curcuma longa. The neuroprotective compounds have demonstrated antioxidant, anti-inflammatory, and cognitive-enhancing properties, making them promising candidates for combating neurodegenerative diseases and improving brain function. Polyphenolic compounds, triterpenic acids, and specific phytocompounds like the ones from EGb 761 extract have shown interactions with key enzymes and receptors in the brain, leading to neuroprotective outcomes. However, this review also acknowledges the neurotoxic potential of certain plants, such as the Veratrum species, which contains steroidal alkaloids that can cause DNA damage and disrupt neurological function, or Atropa belladonna, which interfere with the normal functioning of the cholinergic system in the body, leading to a range of symptoms associated with anticholinergic toxicity. Conslusions: This review also emphasizes the need for further research to elucidate the complex mechanisms underlying the neuroprotective and neurotoxic effects of plant-derived compounds, as well as to identify novel phytoconstituents with therapeutic potential. Understanding the complex relationship between plants and the human brain is crucial for harnessing the benefits of neuroprotective compounds while mitigating the risks associated with neurotoxic substances. This review provides a comprehensive overview of the knowledge on the neurological properties of plants and highlights the importance of continued research in this field for the development of novel therapeutic strategies targeting brain health and neurological disorders.
Storage, Disposal, and Misuse of Unused and Expired Pharmaceuticals in Households amongst Staff Working at Dakshinapaya Ministry Complex, Labuduwa, Galle Region: A Qualitative Phenomenological Study
Authors: Chandrasena Pramila , Gunawardena Sampath , Karunanayaka Shanika
Published: October 2024

(1) Background: Although Sri Lanka is a developing country and boasts of having a well-established healthcare system along with good healthcare indices, we are still lagging in certain aspects of healthcare. One such aspect is the deficiencies in guidelines and practices related to the handling of pharmaceutical waste. (2) Methods: This was a qualitative study performed using in-depth interviews with the help of a semi-structured questionnaire conducted among staff who are working at a ministry complex in Galle, Sri Lanka. Data analysis was performed using thematic analysis, (3) Results: There were 40 participants which included 29 (72.5%) females. Three main themes were identified, namely, (I) current knowledge, (II) perceptions, and (III) practices towards storage, disposal, and misuse of pharmaceutical waste. The death of the patient, forgetting, relieving symptoms, and adverse effects were some reasons for the accumulation of unused pharmaceuticals at home. Most of the participants did not believe that the reuse of unused medications can cause various health hazards. Moreover, all participants practiced unsafe methods such as flushing down toilets, pouring into a sink, burning, etc. (4) Conclusions: The incorrect practices and poor knowledge in the handling of pharmaceutical waste and less concern for the environment highlight the need for awareness programs to the general public and establishing proper medication waste management such drug take-back systems.
Maternal Medication Use in Pregnancy: A Narrative Review on Assessing and Communicating the “Risk” of Birth Defects to the Patient
Authors: Alwan Sura , Grant Kimberly S.
Published: October 2024

The state of knowledge regarding the teratogenic effects of maternal use of medications during pregnancy is constantly evolving and is often uncertain. Timely access to high-quality information may reduce prolonged harmful exposures, decrease the number of preventable birth defects, empower patients with accurate information about the risks of exposure, and prevent unnecessary patient anxiety and pregnancy termination. In this narrative review, we describe the process by which the teratogenic risk of medications is assessed by experts in medicine, genetics, and epidemiology and how identifiable risks can be effectively communicated to patients. Risk assessment of birth defects in human pregnancy involves collecting and synthesizing available data through a proper and rule-driven evaluation of scientific literature. Expert consensus is a practical approach to determine whether a given exposure produces damage after careful consideration of gestational timing, dose and route of the exposure, maternal and fetal genetic susceptibility, as well as evidence for biological plausibility. The provision of teratogen risk counseling through appropriate interpretation of information and effective knowledge translation to the patient is critical for the prevention of birth defects and maximizing healthy pregnancies.
Utilizing an Ex Vivo Skin Penetration Analysis Model for Predicting Ocular Drug Penetration: A Feasibility Study with Curcumin Formulations
Authors: Raab Christian , Brugger Stefan , Lechner Jara-Sophie , Barbalho Geisa Nascimento , Gratieri Taís , Agarwal Priyanka , Rupenthal Ilva D. , Keck Cornelia M.
Published: October 2024

Objective: This study aimed to investigate the feasibility of using the digital image processing technique, developed to semi-quantitatively study dermal penetration, to study corneal penetration in an ex vivo porcine eye model. Here, we investigated various formulation strategies intended to enhance dermal and corneal bioavailability of the model hydrophobic drug, curcumin. Methods: Several formulation principles were explored, including oily solutions, oily suspensions, aqueous nanosuspension, micelles, liposomes and cyclodextrins. The dermal penetration efficacy was tested using an ex vivo porcine ear model previously developed at Philipps-Universität Marburg with subsequent digital image processing. This image analysis method was further applied to study corneal penetration using an ex vivo porcine whole-eye model. Results: For dermal penetration, oily solutions, oily suspensions and nanosuspensions exhibited the least penetration, whereas liposomes and cyclodextrins showed enhanced penetration. Corneal curcumin penetration correlated with dermal penetration, with curcumin loaded into cyclodextrins penetrating the deepest. Conclusions: Overall, our study suggests that the image analysis method previously developed for ex vivo skin penetration can easily be repurposed to study corneal penetration of hydrophobic drugs.
Biomimetic Nanoparticles for Basic Drug Delivery
Authors: Tikhonov Andrey , Kachanov Artyom , Yudaeva Alexandra , Danilik Oleg , Ponomareva Natalia , Karandashov Ivan , Kostyusheva Anastasiya , Zamyatnin Andrey A. , Parodi Alessandro , Chulanov Vladimir , Brezgin Sergey , Kostyushev Dmitry
Published: October 2024

Biomimetic nanoparticles (BMNPs) are innovative nanovehicles that replicate the properties of naturally occurring extracellular vesicles, facilitating highly efficient drug delivery across biological barriers to target organs and tissues while ensuring maximal biocompatibility and minimal-to-no toxicity. BMNPs can be utilized for the delivery of therapeutic payloads and for imparting novel properties to other nanotechnologies based on organic and inorganic materials. The application of specifically modified biological membranes for coating organic and inorganic nanoparticles has the potential to enhance their therapeutic efficacy and biocompatibility, presenting a promising pathway for the advancement of drug delivery technologies. This manuscript is grounded in the fundamentals of biomimetic technologies, offering a comprehensive overview and analytical perspective on the preparation and functionalization of BMNPs, which include cell membrane-coated nanoparticles (CMCNPs), artificial cell-derived vesicles (ACDVs), and fully synthetic vesicles (fSVs). This review examines both “top-down” and “bottom-up” approaches for nanoparticle preparation, with a particular focus on techniques such as cell membrane coating, cargo loading, and microfluidic fabrication. Additionally, it addresses the technological challenges and potential solutions associated with the large-scale production and clinical application of BMNPs and related technologies.
Antioxidant and Antifungal Activities and Characterization of Phenolic Compounds Using Ultra-High Performance Liquid Chromatography and Mass Spectrometry (UPLC-MS) of Aqueous Extracts and Fractions from Verbesina sphaerocephala Stems
Authors: Rodríguez-Valdovinos Kathia Yanelly , Salgado-Garciglia Rafael , Hernández-García Alejandra , Saavedra-Molina Alfredo , del Río-Torres Rosa Elva Norma , López-Meza Joel Edmundo , Monribot-Villanueva Juan Luis , Guerrero-Analco José Antonio , Medina-Medrano José Roberto
Published: October 2024

The Verbesina gender represents the second most diverse group from the Asteraceae family in Mexico; Verbesina sphaerocephala is one of the most distributed species along the Mexican territory. This species has been poorly studied, reporting the presence of some bioactive compounds with antioxidant and antibacterial activity. In this study, phenolic and flavonoid contents and composition, antioxidant and antifungal activities of aqueous extracts of the stem of V. sphaerocephala and its fractions were determined. The results showed that the highest antifungal activity against Botrytis cinerea was shown by the aqueous extract (IC50: 0.10 mg/mL) and the ethyl acetate fraction (IC50: 14.8 mg/mL). In addition, the aqueous extract and the ethyl acetate fraction exhibited the highest phenolic (21.40 and 21.26 mg gallic acid equivalents per gram of dry extract, respectively) and flavonoid contents (11.53 and 3.71 mg rutin equivalents, respectively) and high antioxidant activity determined by the Total Antioxidant Capacity (20.62 and 40.21 mg ascorbic acid equivalents per gram of dry extract, respectively), Ferric Reducing Power (74.76 and 129.57 mg gallic acid equivalents per gram of dry extract, respectively), DPPH (IC50: 12.38 and 7.36 mg/mL, respectively), and ABTS (IC50: 5.60 and 7.76 mg/mL, respectively) methods. Twelve phenolic compounds were detected in the aqueous extract using UPLC-MS analysis, of which the major ones were protocatechuic, vanillic, and hydroxybenzoic acid, while in the ethyl acetate fraction, the presence of 18 phenolic compounds were identified, of which the majority were vanillin, rutin, and hydroxybenzoic acid. The results of this research demonstrate that the aqueous extract of V. sphaerocephala stems has phenolic compounds with antifungal and antioxidant activity.
Gamma-Aminobutyric Acid (GABA) as a Defense Booster for Wheat against Leaf Rust Pathogen (Puccinia triticina)
Authors: Khalil Hala Badr , Lutfi Abdullah Mohsen , Sayed Ahmed Reyad , Mahmoud Mohamed Tharwat , Mostafa Salah Abdelfatah , Ibrahim Zeyad Ahmed , Sharf-Eldin Asmaa A. , Abou-Zeid Mohamed A. , Ibrahim Mohamed F. M. , Thabet Marian
Published: October 2024

Wheat leaf rust, caused by Puccinia triticina, poses a growing threat to global wheat production, necessitating alternative strategies for effective disease management. This study investigated the potential of gamma-aminobutyric acid (GABA) to enhance resistance to leaf rust in two wheat cultivars: the susceptible Morocco and moderately resistant Sakha 94 cultivar. Our findings revealed that GABA significantly improved resistance in both cultivars to P. triticina, particularly in Morocco, by mitigating disease severity and reducing pustule density and size while extending both incubation and latent periods. This study assessed the effectiveness of two GABA application methods: plants received 1 mM GABA treatment, as a foliar spray, twenty-four hours prior to infection (pre-GABA), and plants received 1 mM GABA treatment both 24 h before and after infection (pre-/post-GABA), with the latter yielding significantly better results in reducing infection severity and improving plant resilience. Additionally, GABA application influenced stomatal behavior, promoting closure that may enhance resilience against leaf rust. GABA application on plants also modulated the production of reactive oxygen species (ROS). This led to a stronger oxidative burst in both susceptible and moderately resistant cultivars. GABA increased O2●− levels in guard cells and surrounding stomata, enhancing stomatal closure and the hypersensitive response. GABA enhanced the accumulation of soluble phenols and increased the activity of key antioxidant enzymes, catalase (CAT) and peroxidase (POX), which are vital for managing oxidative stress. To the best of our knowledge, this investigation represents the first report into the impact of GABA on wheat leaf rust disease.
The HPLC–PDA Method for Simultaneous Determination of Regalosides from Bulbs of Lilium lancifolium Thunb. and Their Antioxidant Effects
Authors: Seo Chang-Seob , Kim No Soo , Song Kwang-Hoon
Published: October 2024

Lilium lancifolium Thunb. is a herbal medicine that is widely used to treat inflammation and lung diseases. In this study, a simultaneous quantitative method was developed for the quality control of BLL using high-performance liquid chromatography coupled with a photodiode array detector (HPLC–PDA), and their antioxidant effects were evaluated. Eight regalosides (i.e., regaloside A, B, C, E, F, H, I, and K) were selected as marker substances and separated on a Gemini C18 reversed-phase analytical column by gradient elution with distilled water–acetonitrile mobile phase containing 0.1% (v/v) formic acid. The method was validated with respect to linearity, sensitivities (limit of detection (LOD) and limit of quantitation (LOQ)), accuracy, and precision. The antioxidant effects of the extract and each component were evaluated using the 2,2-diphenyl-1-picrylhydrazyl radical scavenging assay and 2-2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) assay. The coefficients of determination values used as indicators of linearity for all components were ≥0.9999. LOD and LOQ concentrations were 0.10–0.66 μg/mL and 0.29–2.01 μg/mL, respectively. The recovery was 95.39–103.925% (relative standard deviation; RSD ≤ 2.55%), and precision RSD was <2.78%. The HPLC–PDA method was applied to real samples, and all components were detected at 1.12–29.76 mg/freeze-dried g. The evaluation of antioxidant effects showed that regalosides C, E, and K exhibited significant antioxidant effects. Our knowledge will be appropriately utilized in raw material management and conducting clinical and non-clinical studies on L. lancifolium or herbal medicine prescriptions containing L. lancifolium.
Potentially Toxic Elements in Urban-Grown Lettuce: Effectiveness of Washing Procedures, Risk Assessment, and Isotopic Fingerprint
Authors: Lange Camila Neves , Freire Bruna Moreira , Monteiro Lucilena Rebelo , Cotrim Marycel Elena Barboza , Batista Bruno Lemos
Published: October 2024

This study investigates the presence of potentially toxic elements (PTEs) in lettuce (Lactuca sativa L.) grown in urban gardens in a highly industrialized city in Brazil and evaluates the effectiveness of different washing methods in reducing contamination. Ten elements (arsenic (As), barium (Ba), cadmium (Cd), cobalt (Co), chromium (Cr), copper (Cu), nickel (Ni), lead (Pb), vanadium (V), and zinc (Zn)) were analyzed for their concentration, and a health risk assessment was performed. The results showed that Pb concentrations in lettuce from gardens near the Capuava Petrochemical Complex reached 0.77 mg kg−1, exceeding both national and international safety limits. The most effective washing procedure involved the use of sodium hypochlorite, which reduced As by 46%, Pb by 48%, and V by 52%. However, elements such as Ba, Cd, Cr, and Ni showed limited reductions of less than 10% across all washing methods. Health risk assessments revealed a particular concern for children, with the total cancer risk (TCR) exceeding acceptable limits in some gardens. Isotopic analysis of Pb revealed that atmospheric pollution from gasoline emissions and industrial activities were the primary sources of contamination. The elevated levels of Pb, Cr, and As highlight the need for targeted health education in local communities, especially regarding the importance of proper washing techniques. Risk management strategies, including improved contamination control and public awareness, are crucial to minimize exposure to these harmful elements, particularly in vulnerable populations like children.
Methylene Blue Solid Alginate Gels for Photodynamic Therapy: The Peculiarities of Production and Controlled Release of the Dye
Authors: Solovieva Anna , Kopylov Alexander , Cherkasova Anastasiya , Shershnev Ilya , Kaplin Vladislav , Timofeeva Victoriya , Akovantseva Anastasiya , Savko Marina , Gulin Alexander , Zarkhina Tatyana , Aksenova Nadezhda , Timashev Peter
Published: October 2024

The purpose of this work is to establish the influence of the nature of solid alginate gels (alginic acid, AAG; calcium alginate, CAG) and the conditions of methylene blue (MB) introduction to alginate matrices upon its release into aqueous media. MB is an active photosensitizer, which is used in the photodynamic therapy of tumors and purulent wounds. Solid alginate gels based on AAG and CAG were obtained by adding hydrochloric acid and calcium chloride to sodium alginate. The dye was introduced into the matrix either at the stage of gelation or by immersing the gel in an aqueous solution of the dye. It has been shown that the strength of the dye’s attachment to AAG is higher than that of CAG, which leads to a higher rate of MB release from CAG into aqueous media. It has also been shown that, when introduced at the stage of gel formation, MB is released into both the water and buffer solutions. When MB is introduced by gel immersion into an MB solution, the dye may be released only into salt solutions. An alginate gel with immobilized MB can be used as a solid photosensitizing system with the controlled release of the photoactive agent into the wound cavity for photodynamic treatment.
Quantitative Study on Reinforcing Mechanism of Nanofiller Network in Silicone Elastomer Based on Fluorescence Labeling Technology
Authors: Li Yuquan , Xiong Yuqi , Kang Ming , Yu Fengmei , Lu Ai
Published: October 2024

Although there have been many theoretical studies on the enhancement effect of nanofiller networks and their interaction with elastomer molecular chains on the mechanical properties of elastomers, its mechanism description is still not completely clear. One of the main obstacles is the lack of quantitative characterization techniques and corresponding theoretical models for the three-dimensional morphology of complex nanofiller networks. In this paper, the precipitated silica-filled silicone rubber was studied by fluorescence labeling combined with laser scanning confocal microscopy, and the real three-dimensional images of dispersion and aggregation structure of filled rubber systems were obtained. The microstructure evolution of nano-particle aggregates caused by the increase in the filler volume fraction was quantitatively described, and the reinforcement mechanism of elastomers with a distribution of aggregates and filler networks composed of nanoparticles was studied. Furthermore, a nano-composite reinforcement model based on volume fraction, particle shape, interaction, and filler dispersion has been proposed.
Bubble-Free Frontal Polymerization of Acrylates via Redox-Initiated Free Radical Polymerization
Authors: Ziaee Morteza , Yourdkhani Mostafa
Published: October 2024

Thermal frontal polymerization (FP) of acrylate monomers mixed with conventional peroxide initiators leads to significant bubble formation at the polymerizing front, limiting their practical applications. Redox initiators present a promising alternative to peroxide initiators, as they prevent the formation of gaseous byproducts during initiator decomposition and lower the front temperature, thereby enabling bubble-free FP. In this study, we investigate the FP of acrylate monomers of varying functionalities, including methyl methacrylate (MMA), 1,6-hexanediol diacrylate (HDDA), and trimethylolpropane triacrylate (TMPTA), using N,N-dimethylaniline/benzoyl peroxide (DMA/BPO) redox couple at room temperature and compare their front behavior, pot life, and bubble formation with those of same resin systems mixed with a conventional peroxide initiator, Luperox 231. The use of redox couples in FP of acrylates shows promise for rapid, energy-efficient manufacturing of polyacrylates and can enable new applications such as 3D printing and composite manufacturing.
Efficacy of Acacia Gum Biopolymer in Strength Improvement of Silty and Clay Soils under Varying Curing Conditions
Authors: Vishweshwaran Muralidaran , Sujatha Evangelin Ramani , Rehman Ateekh Ur , Moghal Arif Ali Baig
Published: October 2024

Acacia gum (AG), a polysaccharide biopolymer, has been adopted to improve the strength of three cohesive soils by subjecting them to diverse environmental aging conditions. Being a polysaccharide and a potentially sustainable construction material, the AG yielded flexible film-like threads after 48 h upon hydration, and its pH value of 4.9 varied marginally with the aging of the stabilized soils. The soil samples for the geotechnical evaluation were subjected to wet mixing and were tested under their Optimum Moisture Content (OMC), as determined by the light compaction method. The addition of AG modified the consistency indices of the soils due to the presence of hydroxyl groups in AG, which also led to a rise in OMC and reduction in Maximum Dry Unit weight (MDU). The Unconfined Compressive Strength (UCS) and California Bearing Ratio (CBR) were determined under thermal curing at 333 K as well as on the same day of sample preparation. The least performing condition of the soil’s CBR was evaluated under submerged conditions after allowing the AG-stabilized specimens to air-cure for a period of 1 week. The UCS specimens tested after 7 days were subjected to the initial 7 days of thermal curing at 333 K. A dosage of 1.5% of AG yielded the UCS of 2530 kN/m2 and CBR of 98.3%, respectively, for the low compressible clay (LCC) after subjecting the sample to 333 K temperature for 1 week. The viscosity of the AG was found to be 214.7 cP at 2% dosage. Scanning Electron Microscopy (SEM), Fourier Transform Infrared Spectroscopy (FTIR), and average particle size determination revealed the filling of pores by AG gel solution, adsorption, and hydrogen bonding, which led to improvements in macroproperties.
Effect of Degree of Substitution and Molecular Weight on Transfection Efficacy of Starch-Based siRNA Delivery System
Authors: Regev Amir , Benafsha Chen , Goldbart Riki , Traitel Tamar , Elkabets Moshe , Kost Joseph
Published: October 2024

RNA interference (RNAi) is a promising approach for gene therapy in cancers, but it requires carriers to protect and deliver therapeutic small interfering RNA (siRNA) molecules to cancerous cells. Starch-based carriers, such as quaternized starch (Q-Starch), have been shown to be biocompatible and are able to form nanocomplexes with siRNA, but significant electrostatic interactions between the carrier and siRNA prevent its release at the target site. In this study, we aim to characterize the effects of the degree of substitution (DS) and molecular weight (Mw) of Q-Starch on the gene silencing capabilities of the Q-Starch/siRNA transfection system. We show that reducing the DS reduces the electrostatic interactions between Q-Starch and siRNA, which now decomplex at more physiologically relevant conditions, but also affects additional parameters such as complex size while mostly maintaining cellular uptake capabilities. Notably, reducing the DS renders Q-Starch more susceptible to enzymatic degradation by α-amylase during the initial Q-Starch pretreatment. Enzymatic cleavage leads to a reduction in the Mw of Q-Starch, resulting in a 25% enhancement in its transfection capabilities. This study provides a better understanding of the effects of the DS and Mw on the polysaccharide-based siRNA delivery system and indicates that the polysaccharide Mw may be the key factor in determining the transfection efficacy of this system.
Theoretical Study of the Halogen Concentration Effect on the 1,3-Butadiene Polymerization Catalyzed by the Neodymium-Based Ziegler–Natta System
Authors: Masliy Alexey N. , Akhmetov Ildar G. , Kuznetsov Andrey M. , Davletbaeva Ilsiya M.
Published: October 2024

In this work, an attempt is made to theoretically substantiate the experimentally known facts of the influence of halogen concentration on the catalytic properties of the neodymium-based Ziegler–Natta system. Based on the structural and thermochemical data obtained using modern methods of quantum chemistry, the process of the 1,3-butadiene cis-1,4-polymerization under the model active centers of the neodymium Ziegler–Natta catalysts with different contents of chloride ions was studied. Results are presented that explain the increase in the cis-stereospecificity and activity of the polymerization system with an increase in the content of the chloride ions in the neodymium catalytic system. Reasons were established for the decrease in the concentration of active centers relative to the introduced Nd(III) with an excess of chloride ions and the occurrence of the anti-syn isomerization as a source of the formation of the trans-1,4-structures in the cis-1,4-polybutadiene.
An Analysis of the Religious Solidarity Discourses Regarding the Syrian Refugees in Türkiye
Authors: Çoban Melih
Published: October 2024

Following the outbreak of the civil war in Syria, a massive migration of Syrian nationals to Türkiye has been a significant phenomenon. This situation has become a problematic issue, as the massive presence of Syrian refugees in Türkiye has become an important part of the domestic political agenda. The politicization of the refugee issue has long since presented a duality of conflicting opinions among the Turkish society, whereas it has led to political debates between pro-government and opposition groups. In light of these developments, Turkish government elites have produced discourses of religious solidarity with the aim of providing tolerance and social acceptance for Syrian refugees and thus legitimizing the open door policy of the government toward these refugees. The aim of this study is to analyze and categorize the themes that constitute the basis of the discourses of religious solidarity regarding Syrian refugees in Türkiye. In this context, a second aim is to demonstrate how these themes have been welcomed in a positive manner by their adoption and recognition by Turkish society. To these aims, governmental discourses of religious solidarity and a sample consisting of 980 posts on the digital platform X have been analyzed by using the critical discourse analysis technique and have been categorized under two discursive themes, namely the ensar–muhacir analogy and the emphases on the Ottoman legacy. The conformity between these discourses and the government’s ideological orientation and the degree to which these discourses have been welcomed and adopted by the Turkish society have been discussed in detail.
Three-Dimensional Reconstruction of Partially Coherent Scatterers Using Iterative Sub-Network Generation Method
Authors: Wang Xiantao , Dong Zhen , Wang Youjun , Chen Xing , Yu Anxi
Published: October 2024

Synthetic aperture radar tomography (TomoSAR) has gained significant attention for three-dimensional (3D) imaging in urban environments. A notable limitation of traditional TomoSAR approaches is their primary focus on persistent scatterers (PSs), disregarding targets with temporal decorrelated characteristics. Temporal variations in coherence, especially in urban areas due to the dense population of buildings and artificial structures, can lead to a reduction in detectable PSs and suboptimal 3D reconstruction performance. The concept of partially coherent scatterers (PCSs) has been proven effective by capturing the partial temporal coherence of targets across the entire time baseline. In this study, an novel approach based on an iterative sub-network generation method is introduced to leverage PCSs for enhanced 3D reconstruction in dynamic environments. We propose a coherence constraint iterative variance analysis approach to determine the optimal temporal baseline range that accurately reflects the interferometric coherence of PCSs. Utilizing the selected PCSs, a 3D imaging technique that incorporates the iterative generation of sub-networks into the SAR tomography process is developed. By employing the PS reference network as a foundation, we accurately invert PCSs through the iterative generation of local star-shaped networks, ensuring a comprehensive coverage of PCSs in study areas. The effectiveness of this method for the height estimation of PCSs is validated using the TerraSAR-X dataset. Compared with traditional PS-based TomoSAR, the proposed approach demonstrates that PCS-based elevation results complement those from PSs, significantly improving 3D reconstruction in evolving urban settings.
UAV-Based Phenotyping: A Non-Destructive Approach to Studying Wheat Growth Patterns for Crop Improvement and Breeding Programs
Authors: Zahra Sabahat , Ruiz Henry , Jung Jinha , Adams Tyler
Published: October 2024

Rising food demands require new techniques to achieve higher genetic gains for crop production, especially in regions where climate can negatively affect agriculture. Wheat is a staple crop that often encounters this challenge, and ideotype breeding with optimized canopy traits for grain yield, such as determinate tillering, synchronized flowering, and stay-green (SG), can potentially improve yield under terminal drought conditions. Among these traits, SG has emerged as a key factor for improving grain quality and yield by prolonging photosynthetic activity during reproductive stages. This study aims to highlight the importance of growth dynamics in a wheat mapping population by using multispectral images obtained from uncrewed aerial vehicles as a high-throughput phenotyping technique to assess the effectiveness of using such images for determining correlations between vegetation indices and grain yield, particularly regarding the SG trait. Results show that the determinate group exhibited a positive correlation between NDVI and grain yield, indicating the effectiveness of these traits in yield improvement. In contrast, the indeterminate group, characterized by excessive vegetative growth, showed no significant NDVI–grain yield relationship, suggesting that NDVI values in this group were influenced by sterile tillers rather than contributing to yield. These findings provide valuable insights for crop breeders by offering a non-destructive approach to enhancing genetic gains through the improved selection of resilient wheat genotypes.
MapGen-Diff: An End-to-End Remote Sensing Image to Map Generator via Denoising Diffusion Bridge Model
Authors: Tian Jilong , Wu Jiangjiang , Chen Hao , Ma Mengyu
Published: October 2024

Online maps are of great importance in modern life, especially in commuting, traveling and urban planning. The accessibility of remote sensing (RS) images has contributed to the widespread practice of generating online maps based on RS images. The previous works leverage an idea of domain mapping to achieve end-to-end remote sensing image-to-map translation (RSMT). Although existing methods are effective and efficient for online map generation, generated online maps still suffer from ground features distortion and boundary inaccuracy to a certain extent. Recently, the emergence of diffusion models has signaled a significant advance in high-fidelity image synthesis. Based on rigorous mathematical theories, denoising diffusion models can offer controllable generation in sampling process, which are very suitable for end-to-end RSMT. Therefore, we design a novel end-to-end diffusion model to generate online maps directly from remote sensing images, called MapGen-Diff. We leverage a strategy inspired by Brownian motion to make a trade-off between the diversity and the accuracy of generation process. Meanwhile, an image compression module is proposed to map the raw images into the latent space for capturing more perception features. In order to enhance the geometric accuracy of ground features, a consistency regularization is designed, which allows the model to generate maps with clearer boundaries and colorization. Compared to several state-of-the-art methods, the proposed MapGen-Diff achieves outstanding performance, especially a 5% RMSE and 7% SSIM improvement on Los Angeles and Toronto datasets. The visualization results also demonstrate more accurate local details and higher quality.
Estimation of Forage Biomass in Oat (Avena sativa) Using Agronomic Variables through UAV Multispectral Imaging
Authors: Urquizo Julio , Ccopi Dennis , Ortega Kevin , Castañeda Italo , Patricio Solanch , Passuni Jorge , Figueroa Deyanira , Enriquez Lucia , Ore Zoila , Pizarro Samuel
Published: October 2024

Accurate and timely estimation of oat biomass is crucial for the development of sustainable and efficient agricultural practices. This research focused on estimating and predicting forage oat biomass using UAV and agronomic variables. A Matrice 300 equipped with a multispectral camera was used for 14 flights, capturing 21 spectral indices per flight. Concurrently, agronomic data were collected at six stages synchronized with UAV flights. Data analysis involved correlations and Principal Component Analysis (PCA) to identify significant variables. Predictive models for forage biomass were developed using various machine learning techniques: linear regression, Random Forests (RFs), Support Vector Machines (SVMs), and Neural Networks (NNs). The Random Forest model showed the best performance, with a coefficient of determination R2 of 0.52 on the test set, followed by Support Vector Machines with an R2 of 0.50. Differences in root mean square error (RMSE) and mean absolute error (MAE) among the models highlighted variations in prediction accuracy. This study underscores the effectiveness of photogrammetry, UAV, and machine learning in estimating forage biomass, demonstrating that the proposed approach can provide relatively accurate estimations for this purpose.
Predicting Gross Primary Productivity under Future Climate Change for the Tibetan Plateau Based on Convolutional Neural Networks
Authors: Li Meimei , Zhu Zhongzheng , Ren Weiwei , Wang Yingzheng
Published: October 2024

Gross primary productivity (GPP) is vital for ecosystems and the global carbon cycle, serving as a sensitive indicator of ecosystems’ responses to climate change. However, the impact of future climate changes on GPP in the Tibetan Plateau, an ecologically important and climatically sensitive region, remains underexplored. This study aimed to develop a data-driven approach to predict the seasonal and annual variations in GPP in the Tibetan Plateau up to the year 2100 under changing climatic conditions. A convolutional neural network (CNN) was employed to investigate the relationships between GPP and various environmental factors, including climate variables, CO2 concentrations, and terrain attributes. This study analyzed the projected seasonal and annual GPP from the Coupled Model Intercomparison Project Phase 6 (CMIP6) under four future scenarios: SSP1–2.6, SSP2–4.5, SSP3–7.0, and SSP5–8.5. The results suggest that the annual GPP is expected to significantly increase throughout the 21st century under all future climate scenarios. By 2100, the annual GPP is projected to reach 1011.98 Tg C, 1032.67 Tg C, 1044.35 Tg C, and 1055.50 Tg C under the four scenarios, representing changes of 0.36%, 4.02%, 5.55%, and 5.67% relative to 2021. A seasonal analysis indicates that the GPP in spring and autumn shows more pronounced growth under the SSP3–7.0 and SSP5–8.5 scenarios due to the extended growing season. Furthermore, the study identified an elevation band between 3000 and 4500 m that is particularly sensitive to climate change in terms of the GPP response. Significant GPP increases would occur in the east of the Tibetan Plateau, including the Qilian Mountains and the upper reaches of the Yellow and Yangtze Rivers. These findings highlight the pivotal role of climate change in driving future GPP dynamics in this region. These insights not only bridge existing knowledge gaps regarding the impact of future climate change on the GPP of the Tibetan Plateau over the coming decades but also provide valuable guidance for the formulation of climate adaptation strategies aimed at ecological conservation and carbon management.
Automated Recognition of Snow-Covered and Icy Road Surfaces Based on T-Net of Mount Tianshan
Authors: Liu Jingqi , Zhang Yaonan , Liu Jie , Wang Zhaobin , Zhang Zhixing
Published: October 2024

The Tianshan Expressway plays a crucial role in China’s “Belt and Road” strategy, yet the extreme climate of the Tianshan Mountains poses significant traffic safety risks, hindering local economic development. Efficient detection of hazardous road surface conditions (RSCs) is vital to address these challenges. The complexity and variability of RSCs in the region, exacerbated by harsh weather, make traditional surveillance methods inadequate for real-time monitoring. To overcome these limitations, a vision-based artificial intelligence approach is urgently needed to ensure effective, real-time detection of dangerous RSCs in the Tianshan road network. This paper analyzes the primary structures and architectures of mainstream neural networks and explores their performance for RSC recognition through a comprehensive set of experiments, filling a research gap. Additionally, T-Net, specifically designed for the Tianshan Expressway engineering project, is built upon the optimal architecture identified in this study. Leveraging the split-transform-merge structure paradigm and asymmetric convolution, the model excels in capturing detailed information by learning features across multiple dimensions and perspectives. Furthermore, the integration of channel, spatial, and multi-head attention modules enhances the weighting of key features, making the T-Net particularly effective in recognizing the characteristics of snow-covered and icy road surfaces. All models presented in this paper were trained on a custom RSC dataset, compiled from various sources. Experimental results indicate that the T-Net outperforms fourteen once state-of-the-art (SOTA) models and three models specifically designed for RSC recognition, with 97.44% accuracy and 9.79% loss on the validation set.
Semi-Supervised Subcategory Centroid Alignment-Based Scene Classification for High-Resolution Remote Sensing Images
Authors: Mo Nan , Zhu Ruixi
Published: October 2024

It is usually hard to obtain adequate annotated data for delivering satisfactory scene classification results. Semi-supervised scene classification approaches can transfer the knowledge learned from previously annotated data to remote sensing images with scarce samples for satisfactory classification results. However, due to the differences between sensors, environments, seasons, and geographical locations, cross-domain remote sensing images exhibit feature distribution deviations. Therefore, semi-supervised scene classification methods may not achieve satisfactory classification accuracy. To address this problem, a novel semi-supervised subcategory centroid alignment (SSCA)-based scene classification approach is proposed. The SSCA framework is made up of two components, namely the rotation-robust convolutional feature extractor (RCFE) and the neighbor-based subcategory centroid alignment (NSCA). The RCFE aims to suppress the impact of rotation changes on remote sensing image representation, while the NSCA aims to decrease the impact of intra-category variety across domains on cross-domain scene classification. The SSCA algorithm and several competitive approaches are validated on two datasets to demonstrate its effectiveness. The results prove that the proposed SSCA approach performs better than most competitive approaches by no less than 2% overall accuracy.
Sound Sensing: Generative and Discriminant Model-Based Approaches to Bolt Loosening Detection
Authors: Cheng Liehai , Zhang Zhenli , Lacidogna Giuseppe , Wang Xiao , Jia Mutian , Liu Zhitao
Published: October 2024

The detection of bolt looseness is crucial to ensure the integrity and safety of bolted connection structures. Percussion-based bolt looseness detection provides a simple and cost-effective approach. However, this method has some inherent shortcomings that limit its application. For example, it highly depends on the inspector’s hearing and experience and is more easily affected by ambient noise. In this article, a whole set of signal processing procedures are proposed and a new kind of damage index vector is constructed to strengthen the reliability and robustness of this method. Firstly, a series of audio signal preprocessing algorithms including denoising, segmenting, and smooth filtering are performed in the raw audio signal. Then, the cumulative energy entropy (CEE) and mel frequency cepstrum coefficients (MFCCs) are utilized to extract damage index vectors, which are used as input vectors for generative and discriminative classifier models (Gaussian discriminant analysis and support vector machine), respectively. Finally, multiple repeated experiments are conducted to verify the effectiveness of the proposed method and its ability to detect the bolt looseness in terms of audio signal. The testing accuracy of the trained model approaches 90% and 96.7% under different combinations of torque levels, respectively.
The Impact of Migration on Smoking among Colombian Migrants
Authors: Aguilera Michael B.
Published: October 2024

Background: Colombian migration globally has had many consequences. This study focuses solely on the smoking behavior of Colombian migrants. This study addresses how the act of international migration impacts the likelihood of smoking among Colombian migrants. Smoking has been found to be the leading cause of preventable death, and so it is a health risk for Colombian migrants. This study pertains to the communities sampled in Colombia, where the migrants originated. Methods: This study uses the Latin American Migration Project to address how migration impacts the smoking behavior of Colombian migrants. Using logit regression, the statistical analysis predicts the likelihood of smoking among Colombian migrants. This study compares the smoking behavior of current and former Colombian migrants, which is compared to that of Colombian non-migrants. Because current and former migrants were surveyed, the study is able to control for health selectivity. Results: After accounting for health selectivity, the study finds that migration, as measured by time abroad, is positively and significantly related with the smoking of migrants relative to non-migrants. Additionally, this study shows that former migrants are more likely to smoke than current migrants, providing support for the salmon effect. Conclusion: This study adds to the literature on smoking by studying an understudied group, Colombian migrants, and provides a better measure of the impact of migration on smoking behavior by accounting for health selectivity and the salmon bias. The findings are consistent with assimilation theory, as more time abroad is associated with negative health behaviors that are common in the culture of the receiving country, but the fact that such behaviors are harmful to the migrant is consistent with the immigrant health paradox.
Enhanced Growth and Productivity of Arthrospira platensis H53 in a Nature-like Alkalophilic Environment and Its Implementation in Sustainable Arthrospira Cultivation
Authors: Chotchindakun Kittipat , Buddhasiri Songphon , Kuntanawat Panwong
Published: October 2024

Synthetic culture media, such as Zarrouk’s medium (ZM), are widely used in industrial Arthrospira cultivation but rely heavily on chemical fertilizers, raising concerns over cost and environmental impact. In natural habitats where Arthrospira blooms, the macronutrient concentrations are much lower than those provided by synthetic media. We hypothesized that natural growth may be facilitated by a microbial consortium. To test this, we developed a lab-scale Arthrospira platensis H53 cultivation system using a newly developed organic compost medium (OCM), designed to mimic the natural nutrient composition and microbial interactions. Compared to ZM, A. platensis H53 grown in OCM exhibited elevated growth by day 7. The specific growth rate in OCM was 0.20 day−1, higher than that of 0.17 day−1 in ZM, with optical density values reaching 1.57, compared to 1.13 in ZM. A 1.63-fold increase in biomass was observed in OCM, despite lower initial macronutrient concentrations. Nutrient use efficiency (NUE) in OCM was significantly improved, with nitrate (NO3−) and phosphate (PO43−) utilization up to 5.8-fold higher. Additionally, A. platensis H53 filaments in OCM were more tightly coiled, indicating a physiological change in response to lowered macronutrient concentrations. Microbial composition analysis using 16S rRNA gene amplicon sequencing revealed the presence of growth-promoting bacteria, including Pontibacter spp., Brevundimonas spp., and Aliihoeflea spp., likely contributing to nutrient cycling and enhanced growth. These findings suggest potential symbiotic interactions between cyanobacteria and non-cyanobacteria in the OCM system, promoting increased growth and productivity. This study is the first to propose such symbiosis in an extremely alkalophilic environment, offering another sustainable alternative to traditional chemical-based Arthrospira cultivation methods.
How Can Industrial SMEs Achieve Sustainability through Cleaner Production? Green Marketing’s Role as a Mediator
Authors: Semlali Yahdih , Elrayah Musaddag , Sabri Mekimah , Rahma Zighed , Bengana Ismail
Published: October 2024

For small and medium-sized enterprises (SMEs) seeking to adhere to sustainable standards and gain a sustained competitive edge, green marketing and cleaner production are increasingly imperative. Green marketing has grown a lot in popularity in the present market, which makes it possible to rebrand and repackage existing products. This study looks at how green marketing in Algerian industrial SMEs might help achieve sustainability through cleaner production. Data analysis was performed using Smart PLS 4 softwareV.4.1.0.8 and structural equation modeling. With a mediation effect of 47.4%—higher than the direct impact of cleaner production on sustainability—the study’s conclusion is that green marketing strongly mediates the relationship between cleaner production and sustainability. This suggests that by combining green marketing with cleaner production methods, SMEs can reap significant profits. In accordance with their financial and environmental goals, SMEs can effectively incorporate cleaner production methods and green marketing with the help of the research’s practical recommendations.