bluuebunny/crossref_metadata_2025 huggingface dataset:
Geological and Geochemical Characteristics and Genesis of the Laoyingqing Zinc Deposit in Northeastern Yunnan
Authors: Lu Jinhang , Gong Hongsheng , Wu Peng , Zhang Changqing
Published: December 2023

The Laoyingqing zinc deposit is located in the Pb-Zn deposit concentration district in northeastern Yunnan, with a geotectonic location on the southwestern edge of the Yangtze block. This deposit occurs in the interlayer fracture zone of the Huangcaoling Formation slate in the Middle Proterozoic Kunyang Group. In this deposit, zinc is significantly enriched compared to lead, and the sulfur isotopic composition of sphalerite shows δ34SCDT close to negative values. These characteristics are different from the common Pb-Zn deposits that occur in Sinian and Carboniferous carbonate rocks in northeastern Yunnan. The genesis of this deposit and its similarities to and differences from other Pb-Zn deposits hosted in carbonate rocks in the Sichuan–Yunnan–Guizhou Pb-Zn metallogenic triangle area (SYGT) need further research. This article selects typical rock (ore) samples for fluid inclusion, trace element, and H–O isotope analyses. The results show that (1) the homogenization temperature of the fluid inclusions is 130~306.5 °C, the salinity is 7.17 wt%~20.67 wt% NaCleq, and the density of the ore-forming fluids is 0.86–1.07 g/cm3. Overall, these ore-forming fluids belong to medium–low-temperature, medium–low-salinity, and medium–low-density ore-forming fluids, and they have reducibility. The fluid pressure is 36.3~85.6 Mpa, and the mineralization depth is 1.34~3.17 km. (2) The ore-forming fluids mainly came from deep-source metamorphic water and basin brine containing organic matter. (3) The ore-forming materials mainly came from the surrounding rocks (Kunyang Group). (4) The trace element characteristics of this deposit are different from sedimentary-exhalative type, magmatic hydrothermal type, and skarn type of Pb-Zn deposits, and have little difference from MVT Pb-Zn deposits. Based on the comprehensive analysis, this deposit is classified as a medium–low-temperature hydrothermal vein-type zinc deposit unrelated to magmatic activity. This study extends the ore-bearing surrounding rocks of Pb-Zn deposits in the SYGT to the slate of the Kunyang Group, enriching the regional Pb-Zn deposit mineralization theory and providing new ideas for mineralization prediction.
Multi-Band Emission of Pr3+-Doped Ca3Al2O6 and the Effects of Charge Compensator Ions on Luminescence Properties
Authors: Hou Dejian , Huang Rui , Zhang Yi , Li Hongliang , Zhang Wenxing , Lin Zhisen , Guo Yanqing , Lin Zewen , Dong Jianhong , Li Jin-Yan
Published: December 2023

Multi-band emission luminescence materials are of great significance owing to their extensive application in diverse fields. In this research, we successfully prepared a series of Pr3+-doped Ca3Al2O6 multi-band emission phosphors via a high-temperature solid-state method. The phase structure, morphology, luminescence spectra and decay curves were investigated in detail. The Ca3Al2O6:Pr3+ phosphors can absorb blue lights and emit lights in the 450–750 nm region, and typical emission bands are located at 488 nm (blue), 525–550 nm (green), 611–614 nm (red), 648 nm (red) and 733 nm (deep red). The influence of the Pr3+ doping concentration was discussed, and the optimal Pr3+ doping concentration was determined. The impacts of charge compensator ions (Li+, Na+, and K+) on the luminescence of Pr3+ were also investigated, and it was found that all the charge compensator ions contributed positively to the emission intensity. More importantly, the emission intensity of the as-prepared phosphors at 423 K can still maintain 65–70% of that at room temperature, and the potential application for pc-LED was investigated. The interesting results indicate that the prepared phosphors may serve multifunctional and advanced applications.
Spontaneous Synchronization of Two Bistable Pyridine-Furan Nanosprings Connected by an Oligomeric Bridge
Authors: Markina Anastasia A. , Frolkina Maria A. , Muratov Alexander D. , Petrovskii Vladislav S. , Valov Alexander F. , Avetisov Vladik A.
Published: December 2023

The intensive development of nanodevices acting as two-state systems has motivated the search for nanoscale molecular structures whose long-term conformational dynamics are similar to the dynamics of bistable mechanical systems such as Euler arches and Duffing oscillators. Collective synchrony in bistable dynamics of molecular-sized systems has attracted immense attention as a potential pathway to amplify the output signals of molecular nanodevices. Recently, pyridine-furan oligomers of helical shape that are a few nanometers in size and exhibit bistable dynamics similar to a Duffing oscillator have been identified through molecular dynamics simulations. In this article, we present the case of dynamical synchronization of these bistable systems. We show that two pyridine-furan springs connected by a rigid oligomeric bridge spontaneously synchronize vibrations and stochastic resonance enhances the synchronization effect.
Recent Progress on Functionalized Graphene Quantum Dots and Their Nanocomposites for Enhanced Gas Sensing Applications
Authors: Balakrishnan Thivyah , Sagadevan Suresh , Le Minh-Vien , Soga Tetsuo , Oh Won-Chun
Published: December 2023

Gas-sensing technology has witnessed significant advancements that have been driven by the emergence of graphene quantum dots (GQDs) and their tailored nanocomposites. This comprehensive review surveys the recent progress made in the construction methods and applications of functionalized GQDs and GQD-based nanocomposites for gas sensing. The gas-sensing mechanisms, based on the Fermi-level control and charge carrier depletion layer theory, are briefly explained through the formation of heterojunctions and the adsorption/desorption principle. Furthermore, this review explores the enhancements achieved through the incorporation of GQDs into nanocomposites with diverse matrices, including polymers, metal oxides, and 2D materials. We also provide an overview of the key progress in various hazardous gas sensing applications using functionalized GQDs and GQD-based nanocomposites, focusing on key detection parameters such as sensitivity, selectivity, stability, response and recovery time, repeatability, and limit of detection (LOD). According to the most recent data, the normally reported values for the LOD of various toxic gases using GQD-based sensors are in the range of 1–10 ppm. Remarkably, some GQD-based sensors exhibit extremely low detection limits, such as N-GQDs/SnO2 (0.01 ppb for formaldehyde) and GQD@SnO2 (0.10 ppb for NO2). This review provides an up-to-date perspective on the evolving landscape of functionalized GQDs and their nanocomposites as pivotal components in the development of advanced gas sensors.
Exploring the In Vitro Protective Effects of Green-Lipped Mussel (GLM) Oil Extract against Biomarkers of Glucose Metabolism and Inflammation in Chondrocyte Cells
Authors: Lessa Roberta Cardim , Ebrahimi Belgheis , Guan Xiao , Li Yan , Lu Jun
Published: December 2023

Chondrocyte behavior is critical in osteoarthritis (OA) progression and cartilage deterioration. Recent studies have shown that green-lipped mussel (GLM) oil extracts obtained through solvent extraction can regulate cytokine secretion in cell lines, potentially reducing inflammation and immune cell activation. This study investigates the effects of these extracts on human chondrocyte cell lines to understand their impact on osteoarthritis development. Chondrocyte cultures exposed to osteoarthritis-related inflammatory factors were treated with various concentrations of GLM oil. The results revealed that mussel oils, particularly a commercial mussel powder extract (SOLV.COM), enhance glucose uptake and protect chondrocyte cells. SOLV.COM effectively manages the release of inflammatory markers like interleukin-6 (IL-6) and matrix metalloproteinases-3 (MMP-3), showing increased deoxyglucose uptake. This study highlights the significant influence of extract choice on managing interleukin-6 (IL-6) secretion and cellular activation pathways, demonstrating the potential of SOLV.COM in managing osteoarthritis by controlling reactive oxygen production, regulating glucose metabolism, and inflammatory markers.
Transcriptional Host Responses to Infection with Streptococcus suis in a Porcine Precision-Cut Lung Slice Model: Between-Strain Differences Suggest Association with Virulence Potential
Authors: Weldearegay Yenehiwot Berhanu , Brogaard Louise , Nerlich Andreas , Schaaf Désirée , Heegaard Peter M. H. , Valentin-Weigand Peter
Published: December 2023

Streptococcus suis is a porcine and zoonotic pathogen in the upper respiratory tract, expressing different capsular serotypes and virulence-associated factors. Given its genomic and phenotypic diversity, the virulence potential of S. suis cannot be attributed to a single factor. Since strong inflammatory response is a hallmark of S. suis infection, the objective of this study was to investigate the differences in transcriptional host responses to two serotype 2 and one serotype 9 strains. Both serotypes are frequently found in clinical isolates. We infected porcine precision-cut lung slices (PCLSs) with two serotype 2 strains of high (strain S10) and low (strain T15) virulence, and a serotype 9 strain 8067 of moderate virulence. We observed higher expression of inflammation-related genes during early infection with strains T15 and 8067, in contrast to infection with strain 10, whose expression peaked late. In addition, bacterial gene expression from infected PCLSs revealed differences, mainly of metabolism-related and certain virulence-associated bacterial genes amongst these strains. We conclude that the strain- and time-dependent induction of genes involved in innate immune response might reflect clinical outcomes of infection in vivo, implying rapid control of infection with less virulent strains compared to the highly virulent strain S10.
Microorganisms and Breast Cancer: An In-Depth Analysis of Clinical Studies
Authors: Naderi Naghmeh , Mosahebi Afshin , Williams Norman R.
Published: December 2023

Breast cancer is a multifactorial disease that affects millions of women worldwide. Recent work has shown intriguing connections between microorganisms and breast cancer, which might have implications for prevention and treatment. This article analyzed 117 relevant breast cancer clinical studies listed on ClinicalTrials.gov selected using a bespoke set of 38 search terms focused on bacteria, viruses, and fungi. This was supplemented with 20 studies found from a search of PubMed. The resulting 137 studies were described by their characteristics such as geographic distribution, interventions used, start date and status, etc. The studies were then collated into thematic groups for a descriptive analysis to identify knowledge gaps and emerging trends.
Improved Olfactory Deposition of Theophylline Using a Nanotech Soft Mist Nozzle Chip
Authors: Zhang Madeline X. , Verhoeven Frank , Ravensbergen Pieter , Kooij Stefan , Geoffrion Rick , Bonn Daniel , van Rijn Cees J. M.
Published: December 2023

Currently, nasal administration of active pharmaceutical ingredients is most commonly performed using swirl-nozzle-based pump devices or pressurized syringes. However, they lead to limited deposition in the more active regions of the nasal cavity, especially the olfactory region, which is crucial for nose-to-brain drug delivery. This research proposes to improve deposition in the olfactory region by replacing the swirl nozzle with a nanoengineered nozzle chip containing micrometer-sized holes, which generates smaller droplets of 10–50 μm travelling at a lower plume velocity. Two nanotech nozzle chips with different hole sizes were tested at different inhalation flow rates to examine the deposition patterns of theophylline, a hyposmia treatment formulation, using a nasal cavity model. A user study was also conducted and showed that the patient instructions influenced the inhalation flow rate characteristics. Targeted flow rates of between 0 and 25 L/min were used for the in vitro deposition study, yielding 21.5–31.5% olfactory coverage. In contrast, the traditional swirl nozzle provided only 10.8% coverage at a similar flow rate. This work highlights the potential of the nanotech soft mist nozzle for improved intranasal drug delivery, particularly to the olfactory region.
Validation of Liquid Chromatography Coupled with Tandem Mass Spectrometry for the Determination of 12 Tyrosine Kinase Inhibitors (TKIs) and Their Application to Therapeutic Drug Monitoring in Adult and Pediatric Populations
Authors: Bellouard Marie , Donadieu Jean , Thiebot Pauline , Giroux Leprieur Etienne , Saiag Philippe , Etting Isabelle , Dugues Pamela , Abe Emuri , Alvarez Jean-Claude , Larabi Islam-Amine
Published: December 2023

Tyrosine kinase inhibitors (TKIs) are used as targeted cancer therapies in adults and have an off-label pediatric application for the treatment of Langerhans cell histiocytosis. A multitarget LC-MS/MS method was developed and validated for the determination of alectinib, alectinib-M4, binimetinib, cobimetinib, crizotinib, dabrafenib, encorafenib, imatinib, lorlatinib, osimertinib, AZ5104, and trametinib. A total of 150 µL of internal standard methanolic solution was added to 50 µL of plasma sample to precipitate proteins. After centrifugation, 10 µL of the supernatant was injected into the chromatographic system. The chromatographic separation was conducted on a Kinetex C18 Polar column with a gradient of 2 mM ammonium formate in 0.1% formic acid and acetonitrile over 5 min. Limits of detection and quantification, linearity, accuracy, precision, selectivity, carryover, matrix effect, recovery, and stability were evaluated and satisfied EMA guidelines on bioanalytical methods. This method has been successfully applied to the therapeutic drug monitoring (TDM) of adults with melanoma and lung cancer, as well as children with histiocytosis, to improve the pharmacokinetic data for these drugs, with the aim of enhancing the therapeutic management and follow-up of patients. Blood concentrations of trametinib and binimetinib were different in the two groups, highlighting the age-related inter-individual variability of these molecules and the need for TDM.
Chloroplast Auxin Efflux Mediated by ABCB28 and ABCB29 Fine-Tunes Salt and Drought Stress Responses in Arabidopsis
Authors: Tamizhselvan Prashanth , Madhavan Sharmila , Constan-Aguilar Christian , Elrefaay Eman Ryad , Liu Jie , Pěnčík Aleš , Novák Ondřej , Cairó Albert , Hrtyan Mónika , Geisler Markus , Tognetti Vanesa Beatriz
Published: December 2023

Photosynthesis is among the first processes negatively affected by environmental cues and its performance directly determines plant cell fitness and ultimately crop yield. Primarily sites of photosynthesis, chloroplasts are unique sites also for the biosynthesis of precursors of the growth regulator auxin and for sensing environmental stress, but their role in intracellular auxin homeostasis, vital for plant growth and survival in changing environments, remains poorly understood. Here, we identified two ATP-binding cassette (ABC) subfamily B transporters, ABCB28 and ABCB29, which export auxin across the chloroplast envelope to the cytosol in a concerted action in vivo. Moreover, we provide evidence for an auxin biosynthesis pathway in Arabidopsis thaliana chloroplasts. The overexpression of ABCB28 and ABCB29 influenced stomatal regulation and resulted in significantly improved water use efficiency and survival rates during salt and drought stresses. Our results suggest that chloroplast auxin production and transport contribute to stomata regulation for conserving water upon salt stress. ABCB28 and ABCB29 integrate photosynthesis and auxin signals and as such hold great potential to improve the adaptation potential of crops to environmental cues.
Genome-Wide Identification and Expression Analysis of Catalase Gene Families in Triticeae
Authors: Ghorbel Mouna , Zribi Ikram , Haddaji Najla , Siddiqui Arif Jamal , Bouali Nouha , Brini Faiçal
Published: December 2023

Aerobic metabolism in plants results in the production of hydrogen peroxide (H2O2), a significant and comparatively stable non-radical reactive oxygen species (ROS). H2O2 is a signaling molecule that regulates particular physiological and biological processes (the cell cycle, photosynthesis, plant growth and development, and plant responses to environmental challenges) at low concentrations. Plants may experience oxidative stress and ultimately die from cell death if excess H2O2 builds up. Triticum dicoccoides, Triticum urartu, and Triticum spelta are different ancient wheat species that present different interesting characteristics, and their importance is becoming more and more clear. In fact, due to their interesting nutritive health, flavor, and nutritional values, as well as their resistance to different parasites, the cultivation of these species is increasingly important. Thus, it is important to understand the mechanisms of plant tolerance to different biotic and abiotic stresses by studying different stress-induced gene families such as catalases (CAT), which are important H2O2-metabolizing enzymes found in plants. Here, we identified seven CAT-encoding genes (TdCATs) in Triticum dicoccoides, four genes in Triticum urartu (TuCATs), and eight genes in Triticum spelta (TsCATs). The accuracy of the newly identified wheat CAT gene members in different wheat genomes is confirmed by the gene structures, phylogenetic relationships, protein domains, and subcellular location analyses discussed in this article. In fact, our analysis showed that the identified genes harbor the following two conserved domains: a catalase domain (pfam00199) and a catalase-related domain (pfam06628). Phylogenetic analyses showed that the identified wheat CAT proteins were present in an analogous form in durum wheat and bread wheat. Moreover, the identified CAT proteins were located essentially in the peroxisome, as revealed by in silico analyses. Interestingly, analyses of CAT promoters in those species revealed the presence of different cis elements related to plant development, maturation, and plant responses to different environmental stresses. According to RT-qPCR, Triticum CAT genes showed distinctive expression designs in the studied organs and in response to different treatments (salt, heat, cold, mannitol, and ABA). This study completed a thorough analysis of the CAT genes in Triticeae, which advances our knowledge of CAT genes and establishes a framework for further functional analyses of the wheat gene family.
Floristic Richness in a Mediterranean Hotspot: A Journey across Italy
Authors: D’Antraccoli Marco , Peruzzi Lorenzo , Conti Fabio , Galasso Gabriele , Roma-Marzio Francesco , Bartolucci Fabrizio
Published: December 2023

Species richness is a fundamental property of biodiversity patterns and is properly expressed by the species–area relationship (SAR), namely the increase in the number of species with the area. Here, we studied and explored the species–area relationship with respect to vascular plant species in Italy and compared vascular plant richness among Italian administrative regions. Concerning the entire vascular flora (native and alien), the best-performing formula is the Arrhenius’ Power function: S = c Az. The constants of this function are c = 241.2 and z = 0.281. The best-performing formula concerning just native (c = 245.2 and z = 0.263) and alien (c = 10.1 and z = 0.404) richness is the Power function as well. The floristically richest Italian regions considering the entire flora are Liguria, Friuli Venezia Giulia, and Trentino-Alto Adige, which are also the regions that are richest in alien flora unfortunately. Regions of particular naturalistic interest are Abruzzo, Valle d’Aosta, and Molise, because only these three regions exhibit native floristic richness that is higher than expected, and this is coupled with an alien floristic richness that is lower than expected. On the contrary, four regions (Lombardia, Veneto, Toscana, and Emilia-Romagna) show potentially severe conservation problems due to biological invasions since they experience native floristic richness that is lower than expected, with an alien floristic richness that is higher than expected. This study offers for the first time the ‘c’ and ‘z’ constants specifically calibrated at the national level for Italian vascular flora. The availability of such constants allows the calculation of the number of expected species for a given area to be investigated, providing a robust starting hypothesis for floristic studies.
Plant Iron Research in African Countries: Current “Hot Spots”, Approaches, and Potentialities
Authors: Murgia Irene , Morandini Piero
Published: December 2023

Plant iron (Fe) nutrition and metabolism is a fascinating and challenging research topic; understanding the role of Fe in the life cycle of plants requires knowledge of Fe chemistry and biochemistry and their impact during development. Plant Fe nutritional status is dependent on several factors, including the surrounding biotic and abiotic environments, and influences crop yield and the nutritional quality of edible parts. The relevance of plant Fe research will further increase globally, particularly for Africa, which is expected to reach 2.5 billion people by 2050. The aim of this review is to provide an updated picture of plant Fe research conducted in African countries to favor its dissemination within the scientific community. Three main research hotspots have emerged, and all of them are related to the production of plants of superior quality, i.e., development of Fe-dense crops, development of varieties resilient to Fe toxicity, and alleviation of Fe deficiency, by means of Fe nanoparticles for sustainable agriculture. An intensification of research collaborations between the African research groups and plant Fe groups worldwide would be beneficial for the progression of the identified research topics.
Konstantinovia Is Not Monotypic, and a New Attempt to Determine Relationships in Cephaloziellaceae–Scapaniaceae Superclade (Marchantiophyta)
Authors: Bakalin Vadim A. , Fedosov Vladimir E. , Klimova Ksenia G. , Maltseva Yulia D. , Fedorova Alina V. , Choi Seung Se
Published: December 2023

The exploration of liverworts on Bering Island (the westernmost Aleutians) has revealed plants assigned to the recently described and previously monotypic Konstantinovia, previously known only from Yunnan Province of China, and belonging to the bigeneric Obtusifoliaceae. The collected plants are described here as Konstantinovia beringii sp. nov. The known localities of two species of Konstantinovia are separated by more than 6000 km, while the presence of the genus on the Commander Islands is probably a relict. Phylogenetic examination of both collected specimens and new material from other related families resulted in the construction of a fairly well-supported phylogenetic tree for the entire Cephaloziellaceae s.l. + Scapaniaceae s.l. clade. The constructed trees have confirmed the previously stated assumption that it is necessary to segregate one more family within this superclade, described here as Oleolophoziaceae fam. nov.
Effect of Shock-Variable Environmental Temperature and Humidity Conditions on 3D-Printed Polymers for Tensile Properties
Authors: Głowacki Marcin , Skórczewska Katarzyna , Lewandowski Krzysztof , Szewczykowski Piotr , Mazurkiewicz Adam
Published: December 2023

The article presents the research results on the influence of variable shock conditions, such as temperature and water, thus reflecting shock atmospheric conditions during freezing and thawing, on the properties of samples produced using 3D printing technology from commonly used materials such as ABS, HIPS, PLA, and ASA. Understanding how different environmental conditions affect the quality, reliability, and durability of 3D prints can help to optimize the printing process and provide valuable information about their application possibilities. Tests related to the strength of the materials, such as static tensile testing, Charpy impact testing, and evaluation of structures, were carried out using a scanning electron microscope (SEM). Changes in chemical properties were measured by performing tests such as FTIR and TGA. Variations in chemical properties were measured by performing tests such as FTIR and TGA. One shock cycle lasting 7 days was sufficient to alter the properties of 3D prints, with the extent of changes depending on the material, as summarized in the test results.
Superhydrophilic and Underwater Superoleophobic Copper Mesh Coated with Bamboo Cellulose Hydrogel for Efficient Oil/Water Separation
Authors: Peng Yun , Zhao Shuang , Huang Chuanlin , Deng Feifei , Liu Jie , Liu Chunhua , Li Yibao
Published: December 2023

Super-wetting interface materials have shown great potential for applications in oil–water separation. Hydrogel-based materials, in particular, have been extensively studied for separating water from oily wastewater due to their unique hydrophilicity and excellent anti-oil effect. In this study, a superhydrophilic and underwater superoleophobic bamboo cellulose hydrogel-coated mesh was fabricated using a feasible and eco-friendly dip-coating method. The process involved dissolving bamboo cellulose in a green alkaline/urea aqueous solvent system, followed by regeneration in ethanol solvent, without the addition of surface modifiers. The resulting membrane exhibited excellent special wettability, with superhydrophilicity and underwater superoleophobicity, enabling oil–water separation through a gravity-driven “water-removing” mode. The super-wetting composite membrane demonstrated a high separation efficiency of higher than 98% and a permeate flux of up to 9168 L·m−2·h−1 for numerous oil/water mixtures. It also maintained a separation efficiency of >95% even after 10 cycles of separation, indicating its long-term stability. This study presents a green, simple, cost-effective, and environmentally friendly approach for fabricating superhydrophilic surfaces to achieve oil–water separation. It also highlights the potential of bamboo-based materials in the field of oil–water separation.
Evaluation and Analysis of Remote Sensing-Based Approach for Salt Marsh Monitoring
Authors: Richards David F. , Milewski Adam M. , Becker Steffan , Donaldson Yonesha , Davidson Lea J. , Zowam Fabian J. , Mrazek Jay , Durham Michael
Published: December 2023

In the United States (US), salt marshes are especially vulnerable to the effects of projected sea level rise, increased storm frequency, and climatic changes. Sentinel-2 data offer the opportunity to observe the land surface at high spatial resolutions (10 m). The Sentinel-2 data, encompassing Cumberland Island National Seashore, Fort Pulaski National Monument, and Canaveral National Seashore, were analyzed to identify temporal changes in salt marsh presence from 2016 to 2020. ENVI-derived unsupervised and supervised classification algorithms were applied to determine the most appropriate procedure to measure distant areas of salt marsh increases and decreases. The Normalized Difference Vegetation Index (NDVI) was applied to describe the varied vegetation biomass spatially. The results from this approach indicate that the ENVI-derived maximum likelihood classification provides a statistical distribution and calculation of the probability (>90%) that the given pixels represented both water and salt marsh environments. The salt marshes captured by the maximum likelihood classification indicated an overall decrease in salt marsh area presence. The NDVI results displayed how the varied vegetation biomass was analogous to the occurrence of salt marsh changes. Areas representing the lowest NDVI values (−0.1 to 0.1) corresponded to bare soil areas where a salt marsh decrease was detected.
Vegetation Land Segmentation with Multi-Modal and Multi-Temporal Remote Sensing Images: A Temporal Learning Approach and a New Dataset
Authors: Qu Fang , Sun Youqiang , Zhou Man , Liu Liu , Yang Huamin , Zhang Junqing , Huang He , Hong Danfeng
Published: December 2023

In recent years, remote sensing analysis has gained significant attention in visual analysis applications, particularly in segmenting and recognizing remote sensing images. However, the existing research has predominantly focused on single-period RGB image analysis, thus overlooking the complexities of remote sensing image capture, especially in highly vegetated land parcels. In this paper, we provide a large-scale vegetation remote sensing (VRS) dataset and introduce the VRS-Seg task for multi-modal and multi-temporal vegetation segmentation. The VRS dataset incorporates diverse modalities and temporal variations, and its annotations are organized using the Vegetation Knowledge Graph (VKG), thereby providing detailed object attribute information. To address the VRS-Seg task, we introduce VRSFormer, a critical pipeline that integrates multi-temporal and multi-modal data fusion, geometric contour refinement, and category-level classification inference. The experimental results demonstrate the effectiveness and generalization capability of our approach. The availability of VRS and the VRS-Seg task paves the way for further research in multi-modal and multi-temporal vegetation segmentation in remote sensing imagery.
No-Reference Quality Assessment of Extended Target Adaptive Optics Images Using Deep Neural Network
Authors: Gao Guoqing , Li Lingxiao , Chen Hao , Jiang Ning , Li Shuqi , Bian Qing , Bao Hua , Rao Changhui
Published: December 2023

This paper proposes a supervised deep neural network model for accomplishing highly efficient image quality assessment (IQA) for adaptive optics (AO) images. The AO imaging systems based on ground-based telescopes suffer from residual atmospheric turbulence, tracking error, and photoelectric noise, which can lead to varying degrees of image degradation, making image processing challenging. Currently, assessing the quality and selecting frames of AO images depend on either traditional IQA methods or manual evaluation by experienced researchers, neither of which is entirely reliable. The proposed network is trained by leveraging the similarity between the point spread function (PSF) of the degraded image and the Airy spot as its supervised training instead of relying on the features of the degraded image itself as a quality label. This approach is reflective of the relationship between the degradation factors of the AO imaging process and the image quality and does not require the analysis of the image’s specific feature or degradation model. The simulation test data show a Spearman’s rank correlation coefficient (SRCC) of 0.97, and our method was also validated using actual acquired AO images. The experimental results indicate that our method is more accurate in evaluating AO image quality compared to traditional IQA methods.
Query-Informed Multi-Agent Motion Prediction
Authors: Guo Chong , Fan Shouyi , Chen Chaoyi , Zhao Wenbo , Wang Jiawei , Zhang Yao , Chen Yanhong
Published: December 2023

In a dynamic environment, autonomous driving vehicles require accurate decision-making and trajectory planning. To achieve this, autonomous vehicles need to understand their surrounding environment and predict the behavior and future trajectories of other traffic participants. In recent years, vectorization methods have dominated the field of motion prediction due to their ability to capture complex interactions in traffic scenes. However, existing research using vectorization methods for scene encoding often overlooks important physical information about vehicles, such as speed and heading angle, relying solely on displacement to represent the physical attributes of agents. This approach is insufficient for accurate trajectory prediction models. Additionally, agents’ future trajectories can be diverse, such as proceeding straight or making left or right turns at intersections. Therefore, the output of trajectory prediction models should be multimodal to account for these variations. Existing research has used multiple regression heads to output future trajectories and confidence, but the results have been suboptimal. To address these issues, we propose QINET, a method for accurate multimodal trajectory prediction for all agents in a scene. In the scene encoding part, we enhance the feature attributes of agent vehicles to better represent the physical information of agents in the scene. Our scene representation also possesses rotational and spatial invariance. In the decoder part, we use cross-attention and induce the generation of multimodal future trajectories by employing a self-learned query matrix. Experimental results demonstrate that QINET achieves state-of-the-art performance on the Argoverse motion prediction benchmark and is capable of fast multimodal trajectory prediction for multiple agents.
A Novel PPG-Based Biometric Authentication System Using a Hybrid CVT-ConvMixer Architecture with Dense and Self-Attention Layers
Authors: Ibrahim Mostafa E. A. , Abbas Qaisar , Daadaa Yassine , Ahmed Alaa E. S.
Published: December 2023

Biometric authentication is a widely used method for verifying individuals’ identities using photoplethysmography (PPG) cardiac signals. The PPG signal is a non-invasive optical technique that measures the heart rate, which can vary from person to person. However, these signals can also be changed due to factors like stress, physical activity, illness, or medication. Ensuring the system can accurately identify and authenticate the user despite these variations is a significant challenge. To address these issues, the PPG signals were preprocessed and transformed into a 2-D image that visually represents the time-varying frequency content of multiple PPG signals from the same human using the scalogram technique. Afterward, the features fusion approach is developed by combining features from the hybrid convolution vision transformer (CVT) and convolutional mixer (ConvMixer), known as the CVT-ConvMixer classifier, and employing attention mechanisms for the classification of human identity. This hybrid model has the potential to provide more accurate and reliable authentication results in real-world scenarios. The sensitivity (SE), specificity (SP), F1-score, and area under the receiver operating curve (AUC) metrics are utilized to assess the model’s performance in accurately distinguishing genuine individuals. The results of extensive experiments on the three PPG datasets were calculated, and the proposed method achieved ACCs of 95%, SEs of 97%, SPs of 95%, and an AUC of 0.96, which indicate the effectiveness of the CVT-ConvMixer system. These results suggest that the proposed method performs well in accurately classifying or identifying patterns within the PPG signals to perform continuous human authentication.
Research on Robot Screwing Skill Method Based on Demonstration Learning
Authors: Li Fengming , Bai Yunfeng , Zhao Man , Fu Tianyu , Men Yu , Song Rui
Published: December 2023

A robot screwing skill learning framework based on teaching–learning is proposed to improve the generalization ability of robots for different scenarios and objects, combined with the experience of a human operation. This framework includes task-based teaching, learning, and summarization. We teach a robot to twist and gather the operation’s trajectories, define the obstacles with potential functions, and counter the twisting of the robot using a skill-learning-based dynamic movement primitive (DMP) and Gaussian mixture model–Gaussian mixture regression (GMM-GMR). The hole-finding and screwing stages of the process are modeled. In order to verify the effectiveness of the robot tightening skill learning model and its adaptability to different tightening scenarios, obstacle avoidance trends and tightening experiments were conducted. Obstacle avoidance and tightening experiments were conducted on the robot tightening platform for bolts, plastic bottle caps, and faucets. The robot successfully avoided obstacles and completed the twisting task, verifying the effectiveness of the robot tightening skill learning model and its adaptability to different tightening scenarios.
Ultrasound-Assisted Removal of a Wooden Foreign Body Embedded in the Neck
Authors: Vitali Daniele , Orlando Pietro , Maggiore Giandomenico , Gallo Oreste , Bindi Ilaria
Published: December 2023

Objectives: The deep submucosal migration of ingested foreign bodies into the pharyngolaryngeal mucosa is a sporadic event, and its management can be very challenging. In the case of the failure of endoscopic retrieval, open surgical techniques are usually required, and intraoperative ultrasonography can become a useful adjunct for identifying their precise localization. Methods: An 84-year-old woman presented with new-onset dysphagia and odynophagia after the accidental ingestion of a fragment of a toothpick a few hours before in the absence of hoarseness or respiratory distress. Ultrasonography and an unenhanced CT scan of the neck revealed a 3 cm linear foreign body embedded into the neck between the left pyriform sinus and the esophageal wall. Results: We report the removal of a fragment of a wooden toothpick deeply lodged between the left pyriform sinus and the esophageal wall, which was managed via an open transcervical approach with the aid of intraoperative ultrasound guidance. Conclusions: We suggest that both preoperative and intraoperative ultrasonography should represent the first-line imaging technique for deeply embedded neck foreign bodies.
Analysis of Food Supply Chain Digitalization Opportunities in the Function of Sustainability of Food Placement in the Western Balkans Region
Authors: Marić Dražen , Vukmirović Goran , Marić Radenko , Nuševa Daniela , Leković Ksenija , Vučenović Sonja
Published: December 2023

This paper aims to analyze and define incentives for the implementation of modern technology and digitalization of the Food Supply Chain (FSC) in the function of sustainability of the food retail sector of the Western Balkans (WB) region. The survey method was applied to a sample of 255 employees. We tested the importance of certain indicators for the implementation of the digitalization process, such as the application of Blockchain Technology (BT), the use of modern IT solutions for traceability, the implementation of the Internet of Things (IoT), the introduction of Artificial Intelligence (AI), development of a system for electronic food placement, implementation of standards, measures, and procedures for regulating the digitalization process, continuous training of employees and economic and financial measures and incentives. A special segment of research deals with the impact of the implemented digitalization process on the sustainability of food placement. The research was conducted among employees of SMEs, large-scale business entities, and retail chains. The research results showed significant deviations from the mentioned incentives to the digitalization process depending on the size of the FSC participants. The work has practical implications because the obtained results show the FSC management, trade policy makers, and competent institutions (ministries, chambers of commerce, professional associations) what measures to apply in order to improve a more efficient implementation of the digitalization process of food placement and lay the foundation for the sustainability of the FSC. Guidelines for future research are outlined in the paper.
A New SJ* Value Based on Sievers’ J-Miniature Drill Tests to Determine the Drillability of Limestones
Authors: Martínez-Ibáñez Víctor , Garrido María Elvira , Hidalgo Signes Carlos , Tomás Roberto , Álvarez-Fernández Martina-Inmaculada
Published: December 2023

This research presents a new drillability value (SJ*) that corrects the most-used Sievers’ J-value (SJ) by removing the accommodation effect of the drill bit in the first tenths of a millimetre to better represent the real drillability of limestones. Moreover, this research demonstrates how such an effect is more notable when porosity and micro-cracking increase, which in this study has been achieved by inducing thermal damage in the samples. To do so, limestone samples from the Prada formation were subjected to temperatures of 105, 300 and 600 °C and then cooled at fast and slow rates to induce porosity and micro-cracking. Two characteristic zones were identified in the penetration–time plots: (a) a shallow region (Zone 1) with a variable drilling rate including an initial peak and (b) a deeper region (Zone 2) where the drilling rate stabilises. These drilling rates increase with thermally induced porosity and micro-cracking, and the authors propose a new method to delimit Zones 1 and 2. Zone 1 is attributed to the time it takes for the drill bit to adjust and settle in the rock surface, while Zone 2 more realistically represents the drillability of the material. The above influences the SJ value derived from Sievers’ J-miniature drill tests, so a new drillability value SJ* is proposed that corrects SJ by excluding Zone 1 and giving more weight to Zone 2. The novel SJ* presented in this research constitutes a more accurate tool to assess and predict the drilling performance in limestones.
Transformational and Transactional Leaders and Their Role in Implementing the Kotter Change Management Model Ensuring Sustainable Change: An Empirical Study
Authors: Mouazen Ali M. , Hernández-Lara Ana Beatriz , Abdallah Farid , Ramadan Muhieddine , Chahine Jawad , Baydoun Hala , Bou Zakhem Najib
Published: December 2023

A rapid pace of change presents an unforeseen and perpetual competitive challenge for organizations. Despite the existence of numerous change management models, organizational change leaders often encounter obstacles during the implementation phase that limit change effectiveness. This paper seeks to make a difference in managerial actions, specifically when implementing planned change, by directing them to use specific leadership actions during the change stage. While previous research has acknowledged the potential linkage between leadership and change effectiveness, a comprehensive exploration of this relationship within the realm of strategic change management remains lacking. This study aims to address this gap by comparing transactional and transformational leadership styles through the lens of the leadership-as-practice perspective. Specifically, this paper analyzes the alignment of these leadership styles with the Kotter model for implementing organizational change and investigates which leadership components or behaviors positively impact predetermined stages of change. Using the MLQ and a developed Kotter questionnaire, data was collected from 385 Lebanese employees working in SMEs experiencing change across the five provinces of Lebanon. PLS structural equation modeling was utilized to analyze the results, and the GoF value indicated that the study model is valid to be considered as a PLS global model. Our findings shed light on the dynamic interplay between leadership efficacy and distinct change stages. Rooted in the leadership-as-practice perspective, this study contributes a nuanced understanding of effective leadership’s crucial role in navigating the multifaceted challenges of organizational change, offering insights for practitioners and scholars alike.
Morpho-Hydrological Analysis and Preliminary Flash Flood Hazard Mapping of Neom City, Northwestern Saudi Arabia, Using Geospatial Techniques
Authors: Bashir Bashar , Alsalman Abdullah
Published: December 2023

Neom city is a unique cross-border city connecting Saudi Arabia, Jordan, and Egypt. Although Neom city is of great and critical importance for Saudi Arabia, few hydrological, natural hazard, and geomorphological studies have been undertaken on this region. This work aims to investigate the hydro-geomorphological characteristics and assess the flash flood hazards in Neom city by investigating several valuable morphometric parameters. The Shutter Radar Topography Mission (SRTM) digital elevation model and hydrological and geological data were analyzed in this study using ArcGIS software. Based on the morphometric parameter results, total stream lengths and stream orders were relatively high (17,956.03 km and 5, respectively), whereas the average bifurcation ratio was recorded to be low at 3.54. Basins 10, 12, 17, 30, 31, 32, and 34 were described as large basins, coarse-textured, elongated, with a medium drainage density, low infiltration values, long overland flows, and high values of constant maintenance. Additionally, the El-Shamy approach for flood hazard assessment was applied side by side with the morphometric analysis, which indicated that the possibility of an intense flood hazard is very low. In general, this study suggests that most of the studied basins cover similar and resistant rocks and soils. They have minimal conditions for flooding events and suitable conditions for underground and surface water resources. Therefore, they display high signals of susceptibility to erosion. The morphometric analysis and flash flood assessment techniques applied in this study were time- and cost-effective for the morphometric characterization of landforms. This text deals with the analysis of several environmental characteristics including hydro-morphological characteristics, drainage topography and lithology, soil erosion, groundwater recharge impact, and flash flood signals. Excellent sustainability plans should be reliant on extensive and varied information about the environment. Thus, integrated analyses incorporating environmental characteristics and flood hazard assessment play an important role in adjusting and adapting the suitable socioeconomic and scientific sustainability of the development of the study city. They build up the basic and essential information required to help decision-makers and sustainability managers design and adjust the most suitable sustainability plans for the study city over the long term.
Economic Strategy for Developing the Oil Industry in Mexico by Incorporating Environmental Factors
Authors: Semenova Tatyana , Martínez Santoyo Juan Yair
Published: December 2023

This article presents a methodological approach that can more effectively solve environmental problems related to the activities of oil companies. Traditionally, environmental factors have been seen as merely an additional cost that obstructs economic development. The contribution of the authors’ approach lies in the fact that it substantiates the need and the possibility to increase the potential for the functioning and development of the country, for the case of Mexico, while considering environmental factors on a scientific basis. This study proposes a methodology and, therefore, the selection of a strategy for the development of Mexico’s oil industry, ensuring an increase in its environmental and economic efficiency and the sustainability of its territorial functioning and development. The methodology presented in this article develops the concept of sub-potentials, which include the sub-potentials of reproduction, protection, management and development, and reserve. Sub-potentials, particularly the protection sub-potential, integrate environmental components. Neglecting environmental factors leads to an increase in the sub-potentials of the threat and deterrence. Environmental factors are analyzed as a part of a unified strategy for the development of the country, when presenting the formation of a comprehensive system of indicators using management guidelines and a three-dimensional assessment of the criteria for the development of the country’s oil and gas sector. The consequence of using this methodology is the integration of the environmental component of the development in the oil and gas sector into the country’s unified socio-economic strategy. This can effectively solve environmental problems and achieve socio-economic development goals. Consequently, incorporating the environmental aspect based on the proposed methodology permits the effective utilization of society’s limited resources. The application of this systematic approach, encompassing all levels of sustainable strategic development—the oil company, the industry, and the country—also yields additional synergies.