bluuebunny/crossref_metadata_2025 huggingface dataset:
Eco-Friendly Alternatives in Leather Production: Performance of Biodegradable Alginate-Based Retanned Leather Compared to Conventional Leathers and Plant-Based Materials
Authors: Quaratesi Ilaria , Badea Elena , Călinescu Ioan , Sardroudi Nima Pourrasoul , Zengin Gökhan , Casas Concepció , Bacardit Anna
Published: November 2024

This study explores the development and characterization of biodegradable leather using alginate derivatives as sustainable tanning agents, aiming to reduce the environmental impact associated with traditional leather tanning processes. Alginate, a natural polysaccharide derived from brown algae, was modified through ultrasound treatment to reduce viscosity and improve its application in leather tanning. This study investigated the use of sodium alginates as bio-based retanning agents, comparing their performance against that of conventional chromium-tanned and vegetable-tanned leathers, as well as synthetic alternatives such as leatherette, Piñatex®, and Desserto®. The physical, chemical, and thermal properties of the resulting leathers were assessed. The results demonstrated that alginate-based tanning agents could produce leather with comparable or superior properties to conventional and synthetic leathers, meeting the quality standards required for high-end footwear and leather goods. This research highlights the potential of alginate derivatives to serve as eco-friendly alternatives in the leather industry. The findings underscore the feasibility of integrating bio-based materials into industrial applications, promoting environmental conservation and resource efficiency.
Materialisation of Complex Interior Spaces for the Insertion and Visualisation of Environmental Data in HBIM Models
Authors: Rolim Renan , López-González Concepción
Published: November 2024

The Heritage Building Information Modelling (HBIM) methodology and environmental monitoring sensors are among the most widely utilised tools for the digital documentation of heritage buildings and the recording of changes in their environmental conditions. The creation of diverse methodologies for integrating sensor data and HBIM models is gradually becoming more prevalent, necessitating the development of alternative approaches to their integrated visualisation and analysis. This paper presents the findings of research conducted with the objective of establishing a 3D modelling process using Autodesk Revit® 2024.1 that allows for more accurate measurement of the interiors of heritage buildings with complex shapes. The interiors are then materialised and prepared to be tagged with informative parameters for 3D visual analysis within the BIM software itself. This process also makes it possible to export the data together with the 3D model to external platforms. To demonstrate the efficacy of this process, the church of the Real Colegio-Seminario de Corpus Christi in Valencia (Colegio del Patriarca), Spain, has been used as a case study.
Spatiotemporal Distribution, Meteorological Influence, and Potential Sources of Air Pollution over Hainan Island, China
Authors: Yu Yuying , Zhou Huayuan , Zhao Zhizhong , Chang Yunhua , Wu Dan , Li Zhongqin , Wang Feiteng , Fang Mengyang , Zhou Xi
Published: November 2024

Data on particulate matter, gaseous pollutants, and AQI values from three cities (Haikou, Sanya, and Danzhou) between January 2018 and December 2022 were obtained in order to analyze the spatiotemporal distribution characteristics of air pollution, the correlation between pollutants with meteorological conditions, and the potential sources in Hainan Island. The spatiotemporal distribution’s characteristics demonstrated that the annual mean concentrations of SO2, NO2, CO, O3, PM10 and PM2.5 were 4.34 ± 1.11 μg m−3, 9.87 ± 1.87 μg m−3, 0.51 ± 0.06 mg m−3, 73.04 ± 6.36 μg m−3, 27.31 ± 3.63 μg m−3, and 14.01 ± 2.02 μg m−3, respectively. The yearly mean concentrations were trending downward in the past few years and were below the National Ambient Air Quality Standard (NAAQS) Grade II. Summer was the season with the lowest concentrations of all pollutants (3.84 μg m−3, 7.34 μg m−3, 0.42 mg m−3, 52.80 μg m−3, 18.67 μg m−3 and 8.67 μg m−3 for SO2, NO2, CO, O3, PM10 and PM2.5, respectively), and afternoons were the time with the lowest concentrations of pollutants (except for 78.04 μg m−3 for O3). The influence of meteorological conditions on pollutants was examined: there was a prominent positive correlation between temperature and O3 in summer, and relative humidity largely influenced the concentrations of PM. The pollution in Hainan was affected more by regional transport; according to the backward trajectory results, Hainan is susceptible to air masses from Guangdong and Fujian to the northeast, the Indochina Peninsula to the southwest, and the South China Sea to the southeast. The results of PSCF and CWT analyses indicated that Guangdong, Jiangxi, Hunan, and Fujian were the primary potential sources of PM2.5 and O3.
Quantifying the Impact of Multiple Factors on Air Quality Model Simulation Biases Using Machine Learning
Authors: Fan Chunying , Wang Ruilin , Song Ge , Teng Mengfan , Zhang Maolin , Liu Huangchuan , Li Zhujun , Li Siwei , Xing Jia
Published: November 2024

Accurate air pollutant prediction is essential for addressing environmental and public health concerns. Air quality models like WRF-CMAQ provide simulations, but often show significant errors compared to observed concentrations. To identify the sources of these model biases, we applied the XGBoost machine learning algorithm to assess the performance of WRF-CMAQ in predicting air pollutants across two regions in China. XGBoost models trained with observations achieved high accuracy (R > 0.95), indicating that the selected features effectively capture pollutant variations. When trained on WRF-CMAQ inputs, XGBoost still improved performance but revealed biases linked to both model inputs (10–60%) and mechanisms (1–30%). Analysis identified previous-hour pollutant levels as the largest bias contributor, followed by meteorological variables. The study highlights the need for improving both model inputs and mechanisms to enhance future air quality predictions and support pollution control strategies.
Nerve Growth Factor and Brain-Derived Neurotrophic Factor in COVID-19
Authors: Petrella Carla , Ferraguti Giampiero , Tarani Luigi , Tarani Francesca , Messina Marisa Patrizia , Fiore Marco
Published: November 2024

Neurotrophins (NTs) constitute a family of small protein messengers that play a fundamental role in both the central and peripheral nervous systems. In particular, the nerve growth factor (NGF) and the brain-derived neurotrophic factor (BDNF) play a subtle role in the survival, differentiation, and functioning of neuronal populations, as well as in the fine regulation of immune functions. The SARS-CoV-2 infection was characterized by a sequela of symptoms (serious respiratory pathology, inflammatory storm, neurological discomfort, up to the less serious flu-like symptoms), which caused, at the end of 2023, more than 7 million deaths worldwide. Despite the official end of the pandemic, the physical and psychological consequences are currently the object of scientific research, both acute and chronic/long-lasting (Long-COVID-19). Given the multifactorial nature of the outcomes of SARS-CoV-2 infection in adults and children, several studies have investigated the potential involvement of the NGF and BDNF systems in the pathology. This narrative review aims to summarize the most recent evidence on this crucial topic.
Quantitative and Computational Spinal Imaging in Neurodegenerative Conditions and Acquired Spinal Disorders: Academic Advances and Clinical Prospects
Authors: McKenna Mary Clare , Kleinerova Jana , Power Alan , Garcia-Gallardo Angela , Tan Ee Ling , Bede Peter
Published: November 2024

Introduction: Quantitative spinal cord imaging has facilitated the objective appraisal of spinal cord pathology in a range of neurological conditions both in the academic and clinical setting. Diverse methodological approaches have been implemented, encompassing a range of morphometric, diffusivity, susceptibility, magnetization transfer, and spectroscopy techniques. Advances have been fueled both by new MRI platforms and acquisition protocols as well as novel analysis pipelines. The quantitative evaluation of specific spinal tracts and grey matter indices has the potential to be used in diagnostic and monitoring applications. The comprehensive characterization of spinal disease burden in pre-symptomatic cohorts, in carriers of specific genetic mutations, and in conditions primarily associated with cerebral disease, has contributed important academic insights. Methods: A narrative review was conducted to examine the clinical and academic role of quantitative spinal cord imaging in a range of neurodegenerative and acquired spinal cord disorders, including hereditary spastic paraparesis, hereditary ataxias, motor neuron diseases, Huntington’s disease, and post-infectious or vascular disorders. Results: The clinical utility of specific methods, sample size considerations, academic role of spinal imaging, key radiological findings, and relevant clinical correlates are presented in each disease group. Conclusions: Quantitative spinal cord imaging studies have demonstrated the feasibility to reliably appraise structural, microstructural, diffusivity, and metabolic spinal cord alterations. Despite the notable academic advances, novel acquisition protocols and analysis pipelines are yet to be implemented in the clinical setting.
Characterizing Fibroblast Heterogeneity in Diabetic Wounds Through Single-Cell RNA-Sequencing
Authors: Wang Helen H. , Korah Maria , Jing Serena L. , Berry Charlotte E. , Griffin Michelle F. , Longaker Michael T. , Januszyk Michael
Published: November 2024

Diabetes mellitus is an increasingly prevalent chronic metabolic disorder characterized by physiologic hyperglycemia that, when left uncontrolled, can lead to significant complications in multiple organs. Diabetic wounds are common in the general population, yet the underlying mechanism of impaired healing in such wounds remains unclear. Single-cell RNA-sequencing (scRNAseq) has recently emerged as a tool to study the gene expression of heterogeneous cell populations in skin wounds. Herein, we review the history of scRNAseq and its application to the study of diabetic wound healing, focusing on how innovations in single-cell sequencing have transformed strategies for fibroblast analysis. We summarize recent research on the role of fibroblasts in diabetic wound healing and describe the functional and cellular heterogeneity of skin fibroblasts. Moreover, we highlight future opportunities in diabetic wound fibroblast research, with a focus on characterizing distinct fibroblast subpopulations and their lineages. Leveraging single-cell technologies to explore fibroblast heterogeneity and the complex biology of diabetic wounds may reveal new therapeutic targets for improving wound healing and ultimately alleviate the clinical burden of chronic wounds.
Neuronal Differentiation of Human Glioma Cells Induced by Parthenolide Under In Vitro Conditions
Authors: Tang Zhaoqi , Cao Chang , Tang Weiwei , Ye Yanrong , Chen Zhenhui , Shen Yun
Published: November 2024

Objective: Previous drug repositioning studies have suggested that parthenolide may be a differentiation-inducing agent for glioma cells. This study aimed to experimentally verify the neuronal differentiation-inducing effects and proliferative impact of parthenolide on human glioma cells and explore its potential mechanisms. Methods: HE staining was used to observe the morphological changes in human glioma cell lines U87 and A172 induced by parthenolide. Immunocytochemistry was conducted to detect the expression of differentiation markers. The Ki-67 detection and CCK-8 assay were used to assess the effects of parthenolide on cell proliferation. The sphere formation assay was conducted to evaluate the self-renewal. Glioma stem cells (GSCs) derived from U87 cells were utilized to assess the ability of parthenolide to induce differentiation in GSCs. Western blot was used to detect the expression of histone deacetylase 1 (HDAC1). Bioinformatics analysis based on the CGGA database was conducted to evaluate the role of HDAC1 in glioma. Results: Parthenolide (4 μM) altered the morphology of U87 and A172 cells, as elongated cell projections were observed. Parthenolide induced glioma cells to express neuronal markers NeuN, MAP2, SYP, and NEFL, but not astrocyte or oligodendrocyte markers. Parthenolide significantly inhibited proliferation and self-renewal in glioma cells. Similar effects were observed in U87 GSCs. Furthermore, parthenolide downregulated HDAC1 expression in glioma cells, and the bioinformatics analysis revealed a potential relationship between neuronal characteristics and low expression of HDAC1 in glioma. Conclusion: Parthenolide induced neuronal differentiation and inhibited the cell proliferation in human glioma cells, which might be associated with the inhibition of HDAC1.
How Emotional Intelligence Influences Students’ Life Satisfaction During University Lockdown: The Chain Mediating Effect of Interpersonal Competence and Anxiety
Authors: Zhao Yuyang , Sang Biao , Ding Cody
Published: November 2024

Students’ life satisfaction is an essential reflection of their well-being, particularly during challenging times. The COVID-19 pandemic, a global catastrophe, has had an immeasurably negative impact on individuals’ daily lives. It has also provided an opportunity to investigate the factors contributing to students’ life satisfaction during such difficult times. Considering the unique characteristics of these university students, the current study examines the impact of emotional intelligence (EI) on students’ life satisfaction, as well as the direct and sequential mediating effects of interpersonal competence and anxiety on this relationship. A total of 297 university students in Shanghai, China, participated in the study. All participants were recruited online during the early phase of the COVID-19 pandemic in 2022. Four well-established questionnaires were utilized to assess students’ trait emotional intelligence, interpersonal competence, anxiety, and life satisfaction. The findings indicate that interpersonal competence significantly mediates the relationship between EI and life satisfaction. Although anxiety does not significantly mediate this relationship, it plays a notable role in the sequential mediating effect involving interpersonal competence and anxiety. The study reveals that nurturing students’ EI can significantly enhance their interpersonal competence, which can reduce anxiety and ultimately increase their self-reported life satisfaction.
Study on the Influence of Density and Water–Cement Ratio on the Cement Utilization, Fluidity, Mechanical Properties, and Water Absorption of Foam Concrete
Authors: Jierula Alipujiang , Li Haodong , Chen Yang , Wu Cong , Wu Xiao , Yin Hanlin
Published: November 2024

In this paper, we study the influence of density and the water–cement (W/C) ratio on the slurry fluidity, compressive strength, and water absorption of foamed concrete (FC) and its mechanism of action, with the aim of proposing an optimal mix ratio for FC to reduce cement usage and carbon emissions in the construction industry and ensure the good overall performance of FC. In this experiment, two groups of experiments were designed using the control variable method. Fluidity and uniaxial compression tests showed that when the density was 600 kg/m3 and the W/C ratio was 0.6, the FC slurry had maximum fluidity, but its mechanical properties were poor and it collapsed easily. Conversely, by analyzing the uniaxial compressive strength/cement (UCS/C) ratio, it was observed that the mix ratio had a maximum cement utilization rate (W/C ratio) of 0.5 and a density of 1000 kg/m3. Nondestructive testing methods were used to measure the ultrasonic pulse velocity (UPV) and rebound value of the FC test block, and the strength and durability of FC were analyzed. The water absorption rate of the FC test block was tested, and the final analysis showed that the optimal mix ratio of FC in this test was W/C = 0.5, with a density of 1000 kg/m3.
A Numerical and Experimental Study to Compare Different IAQ-Based Smart Ventilation Techniques
Authors: Lopes Marcos Batistella , Kanama Najwa , Poirier Baptiste , Guyot Gaelle , Ondarts Michel , Gonze Evelyne , Mendes Nathan
Published: November 2024

Maintaining indoor environmental quality in residential buildings is essential for occupants’ comfort, productivity, and health, with effective mechanical ventilation playing a key role in removing or diluting indoor pollutants. A two-week experimental campaign was conducted in an apartment in Lyon, France, known for its poor urban air quality, assessing temperature, relative humidity, CO2, and PM2.5 concentrations. A model verification study was performed to compare experimental measurements against numerical modeling in the living room and bedroom, leading to errors in the accuracy of the sensors. In addition, this study also investigates the impact of different ventilation strategies on indoor air quality. This research evaluates a baseline mechanical exhaust-only ventilation approach with constant air volume against two innovative smart ventilation approaches: mechanical exhaust-only ventilation with humidity control and mechanical exhaust-only ventilation with room-level CO2 and humidity control. A key contribution of this research is the novel coupling of multizone simulation models (DOMUS and CONTAM) with a CFD tool to refine pressure coefficients on the building façade, which enhances the accuracy of indoor air quality predictions. The smart ventilation strategies showed improvements, including a 20% reduction in CO2 concentration and a 5% reduction in the third-quartile PM2.5 concentration, highlighting their effectiveness in enhancing ventilation and pollutant dilution. This research provides valuable insights into advanced ventilation strategies and modeling techniques in urban environments.
Aqueous Phase Reforming by Platinum Catalysts: Effect of Particle Size and Carbon Support
Authors: Nguyen Xuan Trung , Kitching Ella , Slater Thomas , Pitzalis Emanuela , Filippi Jonathan , Oberhauser Werner , Evangelisti Claudio
Published: November 2024

Aqueous phase reforming (APR) is a promising method for producing hydrogen from biomass-derived feedstocks. In this study, carbon-supported Pt catalysts containing particles of different sizes (below 3 nm) were deposited on different commercially available carbons (i.e., Vulcan XC72 and Ketjenblack EC-600JD) using the metal vapor synthesis approach, and their catalytic efficiency and stability were evaluated in the aqueous phase reforming of ethylene glycol, the simplest polyol containing both C–C and C–O bonds. High-surface-area carbon supports were found to stabilize Pt nanoparticles with a mean diameter of 1.5 nm, preventing metal sintering. In contrast, Pt single atoms and clusters (below 0.5 nm) were not stable under the reaction conditions, contributing minimally to catalytic activity and promoting particle growth. The most effective catalyst PtA/CK, containing a mean Pt NP size of 1.5 nm and highly dispersed on Ketjenblack carbon, demonstrated high hydrogen site time yield (8.92 min−1 at 220 °C) and high stability under both high-temperature treatment conditions and over several recycling runs. The catalyst was also successfully applied to the APR of polyethylene terephthalate (PET), showing potential for hydrogen production from plastic waste.
Differences in Uniquely Identified Peptides Between ddaPASEF and diaPASEF
Authors: Iwasaki Mio , Nishimura Rika , Yamakawa Tatsuya , Miyamoto Yousuke , Tabata Tsuyoshi , Narita Megumi
Published: November 2024

Recent advancements in mass spectrometry-based proteomics have made it possible to conduct comprehensive protein analysis. In particular, the emergence of the data-independent acquisition (DIA) method powered by machine learning has significantly improved protein identification efficiency. However, compared with the conventional data-dependent acquisition (DDA) method, the degree to which peptides are uniquely identified by DIA and DDA has not been thoroughly examined. In this study, we identified over 10,000 proteins using the DDA and DIA methods and analyzed the characteristics of unique peptides identified by each method. Results showed that the number of peptides uniquely identified by DDA and DIA using the same column type was 19% and 32%, respectively, with shorter peptides preferentially detected by the DIA method. In addition, more DIA-specific peptides were identified, especially during the first 10% of elution time, and the overall 1/K0 and m/z shifted toward smaller values than in the DDA method. Furthermore, comparing the phosphorylation and ubiquitination proteome profiles with those of whole-cell lysates by DDA showed that the enrichment of post-translationally modified peptides resulted in wider m/z and 1/K0 ranges. Notably, the ubiquitin peptide-enriched samples displayed lower m/z values than the phospho-proteome. These findings suggest a bias in the types of peptides identified by the acquisition method and the importance of setting appropriate ranges for DIA based on the post-translational modification of peptide characteristics.
Towards the Mass Production of Molecularly Imprinted Polymers via Cost-Effective Photopolymerization Synthesis and Colorimetric Detection via Smartphone
Authors: Saidi Kawtar , Elfadil Dounia , Amine Aziz
Published: November 2024

The need for rapid, on-site contaminant detection is becoming increasingly vital for tackling environmental and public health challenges. This study introduces an efficient method for detecting sulfamethoxazole (SMX), a widely used antibiotic with significant environmental implications. A cost-effective, scalable approach was developed using lab-on-paper devices integrated with molecularly imprinted polymers (MIPs), synthesized through an in situ photopolymerization process that was completed in just 10 min. Using only 2 mL of MIP solution enabled the efficient mass production of 100 disks. Traditional template extraction, which often takes hours or days, was reduced to just 10 min using a multichannel micropipette and absorbent fabric. The MIP-PAD achieved a limit of detection (LOD) of 0.8 µg/mL and a limit of quantification (LOQ) of 2.4 µg/mL, with measurements obtained using a smartphone-based colorimetric detection system. It exhibited excellent repeatability, with a relative standard deviation (RSD) of 3.26% across seven tests, high reusability for up to eight cycles, and recovery rates for real samples ranging from 81.24% to 99.09%. This method provides notable improvements in sensitivity, reproducibility, and environmental sustainability over conventional techniques. The user-friendly platform integrating smartphone-based colorimetric detection is highly practical for real-time applications, offering broad potential for environmental monitoring, food safety, and healthcare.
The Rising Popularity of Growth Hormone Therapy and Ensuing Orthopedic Complications in the Pediatric Population: A Review
Authors: Zverev Samuel , Tenner Zachary M. , Coladonato Carlo , Lazar-Antman Meredith
Published: November 2024

The utilization of recombinant human growth hormone therapy in pediatric populations, originally approved to treat diseases of growth hormone deficiency, has expanded to encompass a broader range of indications, leading to a threefold increase in its utilization in the last two decades. However, concerns regarding its safety, particularly those that are orthopedic in nature, have grown alongside its increasing popularity. Growth hormone usage has been reported to predispose patients to a multitude of common orthopedic conditions, including carpal tunnel syndrome, Legg–Calve–Perthes disease, little league shoulder, Osgood–Schlatter disease, osteochondritis dissecans, scoliosis, Sever’s disease, and slipped femoral capital epiphysis. The pathways by which growth hormone therapy can precipitate orthopedic pathology has been shown to be multifactorial, involving mechanisms such as hormonal changes, growth plate instability, rapid growth, and increased susceptibility to overuse injury. This review examines the orthopedic consequences of growth hormone therapy in pediatric patients by discussing these potential pathophysiologic mechanisms of injury and analyzing subsequent clinical manifestations. By examining processes underlying these complications, we highlight the need for orthopedic surveillance and management in children receiving GHT, particularly those with pre-existing musculoskeletal comorbidities or high levels of physical activity. Our findings underscore the importance of a multidisciplinary approach involving co-management by pediatricians, endocrinologists, and orthopedic surgeons to optimize safety and outcomes for these patients. Directions for future research include correlating pathophysiologic mechanisms to injury patterns, investigating long-term complications in recently approved growth hormone therapy indications, and informing clinical guidelines on the management of orthopedic injuries in this patient population.
Impact of Sleeve Gastrectomy on Body Weight and Food Intake Regulation in Diet-Induced Obese Mice
Authors: Balbo Sandra Lucinei , Soares Gabriela Moreira , Morari Joseane , Felisberto Antonio Machado , Vettorazzi Jean Franciesco , Bronczek Gabriela Alves , Bonfleur Maria Lúcia , Carneiro Everardo Magalhães , Boschero Antonio Carlos , Velloso Lício Augusto
Published: November 2024

The epidemic of obesity has increased worldwide and is associated with comorbidities such as diabetes and cardiovascular disease. In this context, strategies that modulate body weight and improve glycemic metabolism have increased, and bariatric surgeries such as Sleeve Gastrectomy (SG) have been highlighted in obesity treatment. However, the mechanism by which SG reduces body weight and improves glycemic control remains unknown. Thus, in this study, we aimed to evaluate food intake and the expression of hypothalamic genes involved with the regulation of this process in diet-induced obese mice submitted to SG. For this, we used C57BL/6 mice submitted to a 10-week high-fat diet protocol and submitted to SG. Food intake, fed and fasted glycemia, as well as hypothalamic anorexigenic and orexigenic gene expression were evaluated 4 weeks after the surgical procedure. First, we observed that SG reduces body weight (44.19 ± 0.47 HFD, 43.51 ± 0.71 HFD-SHAM, and 38.22 ± 1.31 HFD-SG), fasting glycemia (115.0 ± 4.60 HFD, 122.4 ± 3.48 HFD-SHAM, and 93.43 ± 4.67 HFD-SG), insulinemia (1.77 ± 0.15 HFD, 1.92 ± 0.27 HFD-SHAM, and 0.93 ± 0.05 HFD-SG), and leptinemia (5.86 ± 1.38 HFD, 6.44 ± 1.51 HFD-SHAM, and 1.43 ± 0.35 HFD-SG) in obese mice. Additionally, SG reduces food (5.15 ± 0.18 HFD, 5.49 ± 0.32, HFD-SHAM, and 3.28 ± 0.26 HFD-SG) and total (16.88 ± 0.88 HFD, 17.05 ± 0.42, HFD-SHAM, and 14.30 ± 0.73 HFD-SG) calorie intake without alterations in anorexigenic and orexigenic gene expression. In conclusion, these data indicate that SG improves obesity-associated alterations at least in part by a reduction in food intake. This effect is not associated with the canonical food intake pathway in the hypothalamus, indicating the involvement of non-canonical pathways in this process.
Peptide Receptor Radionuclide Therapy Using 90Y- and 177Lu-DOTATATE Modulating Atherosclerotic Plaque Inflammation: Longitudinal Monitoring by 68Ga-DOTATATE Positron Emissions Tomography/Computer Tomography
Authors: Rubinstein German , Ilhan Harun , Bartenstein Peter , Lehner Sebastian , Hacker Marcus , Todica Andrei , Zacherl Mathias Johannes , Fischer Maximilian
Published: November 2024

Background: Atherosclerosis and its sequels, such as coronary artery disease and cerebrovascular stroke, still represent global health burdens. The pathogenesis of atherosclerosis consists of growing calcified plaques in the arterial wall and is accompanied by inflammatory processes, which are not entirely understood. This study aims to evaluate the effect of peptide receptor radionuclide therapy (PRRT) using 90Y- and 177Lu-DOTATATE on atherosclerotic plaque inflammation. Methods: Atherosclerotic plaques in 57 cancer patients receiving PRRT using 90Y- and 177Lu-DOTATATE were longitudinally monitored by 68Ga-DOTATATE PET/CT. The target-to-background ratio (TBR) and overall vessel uptake (OVU) were measured in eight distinct arterial regions (ascending aorta, aortic arch, descending aorta, abdominal aorta, both iliac arteries, and both carotid arteries) to monitor calcified plaques. Results: PET/CT analysis shows a positive correlation between calcified plaque scores and the 68Ga-DOTATATE overall vessel uptake (OVU) in cancer patients. After PRRT, an initially high OVU was observed to decrease in the therapy group compared to the control group. An excellent correlation could be shown for each target-to-background ratio (TBR) to the OVU, especially the ascending aorta. Conclusions: The ascending aorta could present a future reference for estimating generalized atherosclerotic inflammatory processes. PRRT might represent a therapeutic approach to modulating atherosclerotic plaques.
Liver Ischemia After Transarterial Embolization for Hepatic Trauma Injury
Authors: Han Meng-Lin , Lu Chia-Hsun
Published: November 2024

Transarterial embolization (TAE) is a routine procedure performed by interventional radiologists to manage traumatic hepatic injuries. Hepatic super-selective TAE rarely results in ischemia within the embolized area. In this case, the initial CT scan revealed significant contrast extravasation, leading to an urgent TAE. Due to continued concerns about bleeding, a second TAE was performed two days later. Subsequent CT scans revealed localized ischemia and necrosis following increased abdominal pain and elevated liver functions. Further analysis identified a common hepatic artery variation in this case. Thus, the ischemia in segments 6 and 7 was determined to be unrelated to the embolization procedure. A detailed review of the CT images suggests that injury to the accessory right inferior hepatic veins (IHVs) likely caused ischemia and eventual necrosis in segments 6 and 7. While hepatic vein variations are not uncommon, this case highlights the importance of evaluating the condition of hepatic veins, in addition to the hepatic artery and portal vein, during preoperative planning. If no arterial extravasation is identified, conservative treatment may be an option for the patient. Further research on this topic is warranted.
Deterioration Patterns in Patients Admitted for Severe COPD Exacerbation
Authors: Correa-Gutiérrez Cristhian Alonso , Ji Zichen , Domínguez-Zabaleta Irene Milagros , Plaza-Hoz Javier , Gorrochategui-Mendigain Ion , López-de-Andrés Ana , Jiménez-García Rodrigo , Zamorano-León José Javier , Puente-Maestu Luis , de Miguel-Díez Javier
Published: November 2024

Background: Chronic obstructive pulmonary disease (COPD) exacerbations represent significant clinical events marked by worsening respiratory symptoms, often necessitating changes in medication or hospitalization. Identifying patterns of exacerbation and understanding their clinical implications are critical for improving patient outcomes. This study aimed to identify exacerbation patterns in COPD patients using variations in the COPD Assessment Test (CAT) scores and compare clinical characteristics and comorbidities among patients with different exacerbation patterns. Methods: An observational study was conducted involving COPD patients admitted for severe exacerbations. The administered CAT questionnaire referred to two periods: (1) the period during hospital admission and (2) the stable period two months prior to admission. Results: Fifty patients (60% male, mean age 70.5 years, standard deviation [SD] 9.6) were included; of these, eight (16%) were active smokers. Significant worsening in CAT scores during the exacerbation compared to the stable period was observed (25 vs. 13.5, p < 0.001). Three exacerbation patterns were identified: increased cough and sputum (cluster 1); increased dyspnea and activity limitation (cluster 2); and poorer sleep quality and lower energy (cluster 3). No significant differences were found regarding demographics and lung function. Conclusions: Three distinct exacerbation patterns were identified in COPD patients based on CAT score variations, suggesting that exacerbations are heterogeneous events. Future studies with larger sample sizes and prospective follow-up are necessary to validate these findings and explore their clinical and prognostic implications.
LTE: Lightweight Transformer Encoder for Orbit Prediction
Authors: Jeong Seungwon , Shin Youjin
Published: November 2024

As the focus of space exploration has recently shifted from national efforts to private enterprises, interest in the space industry has increased. With the rising number of satellite launches, the risk of collisions between satellites and between satellites and space debris has grown, which can lead not only to property damage but also casualties caused by the debris. To address this issue, various machine learning and deep learning-based methods have been researched to improve the accuracy of satellite orbit prediction and mitigate these risks. However, most studies have applied basic machine learning models to orbit prediction without considering the model size and execution time, even though satellite operations require lightweight models that offer both a strong prediction performance and rapid execution. In this study, we propose a time series forecasting framework, the Lightweight Transformer Encoder (LTE), for satellite orbit prediction. The LTE is a prediction model that modifies the encoder structure of the Transformer model to enhance the accuracy of satellite orbit prediction and reduce the computational resources used. To evaluate its performance, we conducted experiments using about 4.8 million data points collected every minute from January 2016 to December 2018 by the KOMPSAT-3, KOMPSAT-3A, and KOMPSAT-5 satellites, which are part of the Korea Multi-Purpose Satellite (KOMPSAT) series operated by the Korea Aerospace Research Institute (KARI). We compare the performance of our model against various baseline models in terms of prediction error, execution time, and the number of parameters used. Our LTE model demonstrates significant improvements: it reduces the orbit prediction error by 50.61% in the KOMPSAT-3 dataset, 42.40% in the KOMPSAT-3A dataset, and 30.00% in the KOMPSAT-5 dataset compared to the next-best-performing model. Additionally, in the KOMPSAT-3 dataset, it decreases the execution time by 36.86% (from 1731 to 1093 s) and lowers the number of parameters by 2.33% compared to the next-best-performing model.
Analysis of the Impact of Volt/VAR Control on Harmonics Content and Alternative Harmonic Mitigation Methods
Authors: Lowczowski Krzysztof , Gielniak Jaroslaw , Nadolny Zbigniew , Udzik Magdalena
Published: November 2024

This article presents information about harmonic distortion and resonance in distribution networks. The theory behind harmonics and resonance is presented. Examples from the literature and the results of power quality measurements, as well as the authors’ experiences connected with significant changes in harmonic distortions, are presented. The harmonic resonance phenomenon is explained, and the risk of resonance in a distribution system network is highlighted. Attention is paid to the connection of a new power plant to the network; however, other risks, e.g., those connected to network reconfiguration, are also highlighted. Further simulation case studies are presented to show interactions between volt/VAR control and harmonic distortion. Simulations consider a few scenarios: impact of voltage change on impedance characteristics and resulting harmonics amplitudes, the impact of a capacitor on impedance characteristics, and the impact of network expansion on harmonic distortion. The final part presents alternative, low-cost harmonics mitigation methods. The concept of the utilization of phase-shifting transformers for two twin-type 1 MW plants located next to each other is verified by on-site measurement. The concept of adapting the harmonics spectrum of new devices to impedance characteristics is presented. Finally, an alternative concept for active mitigation of harmonics under resonance conditions is provided. The concept is based on the reactive power correction in order to change the harmonics phase shift. A comparison of harmonic mitigation methods and general recommendations are provided. Further research is outlined.
Graphite Regeneration and NCM Cathode Type Synthesis from Retired LIBs by Closed-Loop Cycle Recycling Technology of Lithium-Ion Batteries
Authors: Kosenko Alexandra , Pushnitsa Konstantin , Chernyavsky Vladislav , Novikov Pavel , Popovich Anatoliy A.
Published: November 2024

A closed-loop regeneration process for spent LiCoO2 has been successfully designed with prior synthesis of LiNixCoyMnzO2, by the authors. This research applies the methodology to lithium-ion battery anodes, using spent graphite from a decommissioned battery in a leaching process with 1.5 mol∙L−1 malic acid and 3% H2O2 alongside LiCoO2. The filtered graphite was separated, annealed in an argon atmosphere, and the filtrate was used to synthesize NCM cathode material. Characterization involved X-ray diffraction, EDX, and SEM techniques. The regenerated graphite (RG) showed a specific discharge capacity of 340.4 mAh/g at a 0.1C rate in the first cycle, dropping to 338.4 mAh/g after 55 cycles, with a Coulombic efficiency of 99.9%. CV and EIS methods provided further material assessment. In a related study, the SNCM111 synthesized from the leaching solution showed a specific discharge capacity of 131.68 mAh/g initially, decreasing to 115.71 mAh/g after 22 cycles.
A New Electricity Infrastructure for Fostering Urban Sustainability: Challenges and Emerging Trends
Authors: Bompard Ettore F. , Conti Stefania , Masera Marcelo J. , Soma Gian Giuseppe
Published: November 2024

The energy transition and sustainability are the critical challenges of our time, and cities are at the forefront of this transformation. As key players, these urban centers are pioneering innovative strategies to reduce carbon emissions, enhance energy efficiency, and promote renewable energy sources. Central to the transition is the role of electricity, which acts as a cornerstone in the “cocktail” of sustainable solutions. The development of an efficient and resilient “Electricity City Grid” is essential to support this shift. This article explores the target functions and challenges associated with designing and operating the Smart Electricity City Grid of the future. It delves into the infrastructural costs required for this transition and examines the economic and technical hurdles that must be overcome. Finally, the article looks ahead to the future of research in this field, highlighting the areas that will be crucial for the continued evolution and success of smart urban grids. Through this comprehensive analysis, we aim to suggest a roadmap for cities striving to achieve sustainability through advanced electrical infrastructure.
Deviation of Phase Boundary Conditions for Hydrates of Small-Chain Hydrocarbons (CH4, C2H6 and C3H8) When Formed Within Porous Sediments
Authors: Gambelli Alberto Maria
Published: November 2024

This research deals with gas hydrates formation and dissociation within a marine quartz-based porous sediment and in batch conditions. Hydrates were formed with small-chain hydrocarbons included in natural gas mixtures: methane and also ethane and propane. The dissociation values were collected and provided both graphically and numerically. The results were then compared with the theoretical hydrate-liquid-vapor phase boundary equilibrium for the same species, defined according to the existing literature. The deviation of the experimental results from the ideal ones, associated with the porous sediment, was quantified and discussed. For the scope, the grain size distribution and chemical composition of the sediment were provided along with the text. The results proved that the different size of guest species and, consequently, the different hydrate structures formed, played a relevant role in determining the promoting, inhibiting or neutral behavior of the porous sediment during the process.
Navigating the Digital Landscape: Challenges and Barriers to Effective Information Use on the Internet
Authors: Yu Jiadong , Bekerian D. A. , Osback Chelsee
Published: November 2024

The advent of the internet has fundamentally transformed how people access and interact with information. The digital landscape offers easy access to educational materials and healthcare and can support informed decision making. It also presents significant challenges in effectively using this information. This entry discusses the multifaceted barriers that can impede individuals from fully benefiting from the internet’s information resources. Key challenges include discerning between accuracy and misinformation, the uneven distribution of digital literacy, disparities in access to technology, and motivational barriers in seeking reliable information. Additionally, the growing involvement of artificial intelligence (AI) in content curation, regulation, and moderation introduces opportunities and ethical dilemmas. These factors complicate efforts to support the accuracy and trustworthiness of the information shared through digital platforms.
Multi-Omics Insights into Variety-Driven Differences in Rice Straw Feed Utilization: An In Vitro Fermentation Study
Authors: Zhao Chunrong , Kang Yuling , Cao Fangbo , Chen Jiana , Zheng Huabin , Wang Weiqin , Huang Min
Published: November 2024

The objective of this study was to explore the rumen fermentation characteristics, bacterial diversity, community composition, and metabolite profiles of rice straw from three distinct varieties. Straws from two hybrid rice varieties, Lingliangyou 268 (L268) and Yueyou 9113 (Y9113), and one inbred rice variety, Zhongzao 39 (Z39), were selected for a 72 h in vitro rumen fermentation test. The fermentation products were analyzed for rumen fermentation characteristics, bacterial community, and rumen metabolomics. The results showed that Y9113 had higher total gas and methane production, greater dry matter digestibility, and higher concentrations of ammonium nitrogen and volatile fatty acids compared to Z39 (p < 0.05). The variety of rice straw did not affect the richness or diversity of the rumen bacterial community (p > 0.05). However, the relative abundances of Verrucomicrobiota, Euryarchaeota, Elusimicrobiota, Probable genus 10, Lachnospiraceae AC2044 group, WCHB1-41, and VadinBE97 were higher in Z39 than in Y9113, while the opposite was observed for Saccharofermentans, UCG-010, and NK4A214 group (p < 0.05). Both principal coordinates analysis (PCoA) and partial least squares discrimination analysis (PLS-DA) revealed clear distinctions in the rumen bacterial communities between Y9113 and Z39. Metabolomic analysis identified eighteen differential metabolites among L268, Z39, and Y9113, with six showing strong correlations with the rumen microbiota. These findings suggest that the feed value of rice straw is influenced by the variety under the same cultivation conditions, due to nutritional disparities that subsequently affect the rumen microbial community and metabolite profiles. This study offers valuable data and insights for the strategic resource utilization of rice straw from different varieties in the livestock industry.
The Resistance of an Arbitrary Body in Confined Unsteady Stokes Flow
Authors: Procopio Giuseppe , Biagioni Valentina , Giona Massimiliano
Published: November 2024

In this article, we address resistance forces and torques acting onto a body with arbitrary shape moving in an unsteady Stokes flow. We start analyzing the functional form of the expressions for forces and torques, which depend on the frequency parameter and on the position of the body in the domain of the fluid, and determining the asymptotic limits for high and low frequencies. In this regard, we show that, for high frequencies (hence short times), forces and torques are obtained by the associated hydrodynamic problems considering ideal potential flows, independently of the geometry of the problem. Afterwards, with the aim of obtaining expressions for forces and torques valid in the entire range of frequencies, we extend to the unsteady case the reflection method, largely employed in the theory of the steady Stokes flows. In this way, general expressions are provided in terms of the Faxén operators of the body and the Green function associated with the geometry of the confinement, that are valid, to the leading order, at any frequency, independently of the geometry of the problem. Finally, as the application of the general expressions, explicit relations for the resistance forces acting onto a spherical body with no-slip boundary conditions near a plane wall with full-slip boundary conditions are obtained, valid over the entire frequency range, provided that the distance between the plane and the sphere is larger than one sphere radius.
The Power of Thermosonication on Quality Preservation and Listeria Control of Blueberry Juice
Authors: Panaro Eleonora , Brandão Teresa R. S. , Silva Cristina L. M. , Miller Fátima A.
Published: November 2024

Due to the increasing consumer demand for healthy, beneficial foods, natural fruit juices have gained popularity for their rich nutritional value and appealing flavor. However, traditional thermal processing can compromise these quality attributes. This study investigates using pulsed thermosonication, a novel mild thermal processing method, on Listeria innocua inactivation in blueberry juice, chosen for its high phenolic and anthocyanin content. Ultrasonication was applied at 60% and 100% amplitudes combined with heat treatments at 45 °C and 55 °C and compared to control heat treatments. The Weibull model effectively described the inactivation kinetics, showing that the thermosonicated samples required significantly shorter times (1 and 25 min) for a 5-log reduction compared to the heated samples (10 and 60 min). While pH, total soluble solids, and water activity remained unaffected, color parameters improved, and the best retention of phenolics and anthocyanins was observed at 100% amplitude and 45 °C. Rheological properties were unchanged. The findings demonstrate that thermosonication at milder temperatures is more effective than conventional heat treatment for microbial inactivation and quality retention in blueberry juice, suggesting it is a superior processing method for preserving fruit juices’ nutritional and sensory attributes.
Hydrogel for Sustained Delivery of Therapeutic Agents
Authors: Musuc Adina Magdalena , Mititelu Magdalena , Chelu Mariana
Published: November 2024

In recent years, hydrogels have emerged as a highly promising platform for the sustained delivery of therapeutic agents, addressing critical challenges in drug delivery systems, from controlled release to biocompatibility [...]