bluuebunny/crossref_metadata_2025 huggingface dataset:
Profiling Plasma Extracellular Vesicle Metabotypes and miRNAs: An Unobserved Clue for Predicting Relapse in Patients with Early-Stage NSCLC
Authors: Bafiti Vivi , Thanou Eleni , Ouzounis Sotiris , Kotsakis Athanasios , Georgoulias Vasilis , Lianidou Evi , Katsila Theodora , Markou Athina
Published: November 2024

Background and Objective: Lung cancer, the second most prevalent cancer globally, poses significant challenges in early detection and prognostic assessment. Despite advancements in targeted therapies and immunotherapy, the timely identification of relapse remains elusive. Blood-based liquid biopsy biomarkers, including circulating tumor cells (CTCs), cell-free DNA (cfDNA), circulating tumor DNA (ctDNA), circulating-free RNAs (cfRNAs), and extracellular vesicles (EVs)/exosomes, offer promise for non-invasive monitoring. Methods: We employ a comprehensive approach integrating miRNA/lncRNA/metabolomic datasets, following a mixed-methods content analysis, to identify candidate biomarkers in NSCLC. NSCLC-associated miRNA/gene/lncRNA associations were linked to in silico-derived molecular pathways. Results: For data validation, mass spectrometry-based untargeted metabolomics of plasma EVs highlighted miRNA/lncRNA/metabotypes, linking “glycerophospholipid metabolism” to lncRNA H19 and “alanine, aspartate and glutamate metabolism” to miR-29a-3p. Prognostic significance was established for miR-29a-3p, showing lower expression in NSCLC patients with disease progression compared to stable disease (p = 0.004). Kaplan–Meier survival analysis indicated that patients with miR-29a-3p under-expression had significantly shorter overall survival (OS) (p = 0.038). Despite the expression of lncRNA H19 in plasma EVs being undetected, its expression in plasma cfRNAs correlated significantly with disease progression (p = 0.035). Conclusions: Herein, we showcase the potential of plasma EV-derived miR-29a-3p as a prognostic biomarker and underscore the intricate interplay of miRNAs, lncRNAs, and metabolites in NSCLC biology. Our findings offer new insights and avenues for further exploration, contributing to the ongoing quest for effective biomarkers in early-stage NSCLC.
Long-Term Cancer Outcomes Following Bariatric Surgery: A Comparative Analysis of Surgical Procedures
Authors: Kim Jaewhan , Ben-Umeh Kenechukwu C. , Kelley Joshua , Davidson Lance E. , Hashibe Mia , Smith Ken , Richards Nathan , Adams Ted
Published: November 2024

Background/Objectives: Metabolic and bariatric surgery (MBS) is known to reduce cancer risk. However, the association between specific bariatric procedures and cancer incidence is not well-studied. This study examined the association between four different MBS procedures and cancer incidence. Methods: Bariatric surgery registry data were linked with statewide cancer registry data from 1979 to 2018. The study included 27,092 adult subjects (aged ≥ 18 years old at surgery) who underwent MBS (BMI ≥ 30 kg/m2 at surgery) from 1979 to 2017. Cancer records were linked to MBS patient records, resulting in 1547 cancer cases. Cox proportional hazards regression was used to examine the association between MBS procedure types and cancer incidence. Results: Of all patients, 75% underwent Roux-en-Y gastric bypass (RYGB), 9% adjustable gastric banding (AGB), 10% sleeve gastrectomy (SG), and 6% duodenal switch (BPD-DS). The overall cancer incidence during the follow-up period was 6.4% for RYGB, 4.6% for AGB, 1.6% for SG, and 5.9% for BPD-DS. The mean follow-up duration from surgery to cancer incidence or censoring was 167 months (standard deviation = 121 months). Compared to RYGB, patients who underwent AGB (Hazard Ratio [HR] = 1.26, p = 0.03) and BPD-DS (HR = 1.91, p < 0.01) had a significantly higher hazard of developing cancer, while SG (HR = 1.17, p = 0.33) showed no significant difference. Conclusions: These findings suggest that AGB and BPD-DS may be associated with higher cancer risks compared to RYGB. Additional large population studies are needed to better understand the long-term cancer risks and mechanisms associated with different MBS types.
Impact of COVID-19 Pandemic on Delay of Melanoma Diagnosis: A Systematic Review and Meta-Analysis
Authors: Pellegrini Cristina , Caini Saverio , Gaeta Aurora , Lucantonio Eleonora , Mastrangelo Mirco , Bruni Manfredo , Esposito Maria , Doccioli Chiara , Queirolo Paola , Tosti Giulio , Raimondi Sara , Gandini Sara , Fargnoli Maria Concetta
Published: November 2024

Introduction: Several studies have described how the restrictive measures due to COVID-19 have delayed melanoma diagnoses, resulting in an increased rate of more severe cases. Summarizing the sparse results in this context might help to understand the real impact of the COVID-19 pandemic on melanoma. We conducted a systematic review and meta-analysis to investigate how the clinical and prognostic factors of new melanoma diagnoses changed after COVID-19. Methods: A literature search in MEDLINE, EMBASE, and Scopus was conducted in September 2023. We included studies published in peer-reviewed journals reporting histopathological data on new diagnoses of cutaneous melanoma in adult patients during and/or after the lockdown compared to those diagnosed before the COVID-19 pandemic. A meta-analysis was conducted utilizing a random effects model. The between-study heterogeneity was assessed via Higgins’s I2 statistic. Publication bias was assessed using the Begg and Egger test. This study adhered to the updated PRISMA guidelines. The primary outcome was a comparison of melanoma thickness between the pre-COVID-19 and post-lockdown periods. The secondary outcomes were evaluations of the histopathological subtype, stage, and presence of ulceration and mitosis in melanomas diagnosed in these two pandemic phases. Results: The study included 45 articles. We found a significantly higher proportion of all factors indicating worse prognosis in the post-lockdown period compared to the pre-COVID-19 phase, including high thickness (SOR = 1.14, 95%CI 1.08–1.20 for 1–2 mm; SOR = 1.62, 95%CI 1.08–2.40, for >2 mm), the presence of ulcerations (SOR = 1.35, 95%CI 1.18–1.54), nodular subtype (SOR = 1.19, 95%CI 1.07–1.32), the presence of mitosis (SOR = 1.57, 95% CI 1.17–2.11), and stage III (SOR = 1.39, 95%CI 1.19–1.52) and IV (SOR = 1.44, 95%CI 1.26–1.63). Limitations include the limited studies’ geographical distribution and moderate heterogeneity affecting meta-analysis estimates. Conclusions: Our meta-analysis provided evidence of more advanced melanomas diagnosed in the post-COVID-19 pandemic period, emphasizing the importance of creating and updating pandemic preparedness plans to limit the impact of any future events on oncological care.
Comprehensive Study of Stereolithography and Digital Light Processing Printing of Zirconia Photosensitive Suspensions
Authors: Sokola Patrik , Ptáček Petr , Bafti Arijeta , Panžić Ivana , Mandić Vilko , Blahut Jan , Kalina Michal
Published: November 2024

Zirconia ceramics are used in a wide range of applications, including dental restorations, bioimplants, and fuel cells, due to their accessibility, biocompatibility, chemical resistance, and favorable mechanical properties. Following the development of 3D printing technologies, it is possible to rapidly print zirconia-based objects with high precision using stereolithography (SLA) and digital light processing (DLP) techniques. The advantages of these techniques include the ability to print multiple objects simultaneously on the printing platform. To align with the quality standards, it is necessary to focus on optimizing processing factors such as the viscosity of the suspension and particle size, as well as the prevention of particle agglomeration and sedimentation during printing, comprising the choice of a suitable debinding and sintering mode. The presented review provides a detailed overview of the recent trends in preparing routes for zirconium oxide bodies; from preparing the suspension through printing and sintering to characterizing mechanical properties. Additionally, the review offers insight into applications of zirconium-based ceramics.
Robust Adaptive Control System of Variable Sampling Period for Cement Raw Mix Quality Control
Authors: Tsamatsoulis Dimitris
Published: November 2024

The advanced quality control of the raw mix remains a priority for the cement industry, particularly in recent years, where large quantities of alternative fuels and raw materials are used in clinker production, aiming to reduce the CO2 footprint. This study presents an adaptive control system with a variable sampling period for regulating raw mix quality in the raw mill (RM) output in a process with four independent inputs and four outputs: the lime saturation factor (LSF), silica modulus (SM), alumina modulus (AM), and SO3. The three pillars of the system are (1) mill dynamics calculation using exclusively industrial data, (2) the design of the controllers to meet robustness criteria, and (3) performance enhancement through simulators. Our technique periodically adjusts the gains of the controllers based on the mill’s dynamic parameters, which are computed from raw mix laboratory analyses. The presented results correspond to more than 14,000 h of mill operation. The standard deviation of the LSF at the mill outlet ranged from 1.5 to 3, which is equivalent to 1 to 2 standard deviations of LSF reproducibility. The standard deviation of the other moduli was close to the corresponding reproducibility of each. The presented adaptive gain-scheduling controller for LSF can be applicable to a broad range of raw meal grinding systems.
The Effect of Geranylgeraniol and Ginger on Satellite Cells Myogenic State in Type 2 Diabetic Rats
Authors: Jiwan Nigel C. , Appell Casey R. , Sterling Raoul , Shen Chwan-Li , Luk Hui-Ying
Published: November 2024

Type 2 diabetes (T2D) is associated with increased inflammation and reactive oxygen species (ROS) in muscles, leading to basal satellite cell (SC) myogenic impairment (i.e., reduction in SC pool), which is critical for maintaining skeletal muscle mass. T2D may contribute to muscle atrophy, possibly due to reductions in the SC pool. Geranylgeraniol (GGOH) and ginger can reduce inflammation and enhance SC myogenesis in damaged muscles, thereby alleviating muscle atrophy; however, their effect on basal SC myogenic state and muscle mass in T2D rats is limited. Rats consumed a control diet (CON), high-fat diet with 35 mg/kg of streptozotocin (HFD), a HFD with 800 mg/kg body weight of GGOH (GG), or a HFD with 0.75% ginger root extract (GRE). In the eighth week, their soleus muscles were analyzed for Pax7, MyoD, and MSTN gene and protein expression, SC myogenic state, and muscle cross-sectional area (CSA). The HFD group had a significantly lower number of Pax7+/MyoD− and Pax7+/MSTN+ cells, less Pax7 and MyoD gene expression, and less MyoD and MSTN protein expression, with a smaller CSA than the CON group. Compared to the GG and GRE groups, the HFD group had a significantly lower number of Pax7+/MSTN+ cells, less MyoD protein expression, and smaller CSA. The GRE group also had a significantly lower number of Pax7−/MyoD+ and greater MSTN protein expression than the HFD group. Nevertheless, the CON group had a significantly greater number of Pax7+/MyoD− than the GG and GRE groups, and a greater number of Pax7−/MyoD+ cells than the GRE group with a larger CSA than the GG group. GGOH and ginger persevered muscle CSA, possibly through increased MyoD and the ability to maintain the SC pool in T2D rats.
A Study of the Bioactive Compounds, Antioxidant Capabilities, Antibacterial Effectiveness, and Cytotoxic Effects on Breast Cancer Cell Lines Using an Ethanolic Extract from the Aerial Parts of the Indigenous Plant Anabasis aretioïdes Coss. & Moq.
Authors: Laaraj Salah , Tikent Aziz , Chebaibi Mohamed , Bouaouda Khawla , Bouhrim Mohamed , Sweilam Sherouk Hussein , Herqash Rashed N. , Shahat Abdelaaty A. , Addi Mohamed , Elfazazi Kaoutar
Published: November 2024

Anabasis aretioïdes contain numerous bioactive compounds that provide several advantages, including antioxidant, antibacterial, anticancer, neuroprotective, anti-inflammatory, and antidiabetic characteristics. This study aimed to make a hydroethanolic extract from the aerial part of the plant, analyze its biochemical compounds, and test its biological activities. From HPLC-DAD analysis, cinnamic acid, sinapic acid, and vanillin bioactives were found to be the main compounds in the extract. The spectrometric tests revealed that the extract was rich in flavonoids (8.52 ± 0.32 mg RE/100 g DW), polyphenols (159.32 ± 0.63 mg GAE/100 g DW), and condensed tannins (8.73 ± 0.23 mg CE/100 g DW). The extract showed significant antioxidant activity. There were strong correlations between the amount of flavonoid or polyphenol and the antioxidant assays, including ABTS, DPPH, β-carotene, and TAC. The extract also showed highly effective results against Gram-positive bacteria Staphylococcus aureus and Enterococcus faecalis as well as against Gram-negative bacteria Escherichia coli and Pseudomonas aeruginosa, and showed promising cytotoxicity against breast cancer cell lines MCF-7 and MDA-MB-231. The in silico modeling of the bioactive compounds contained in the extract illustrated their interaction mode with the active sites of particular target proteins, and it showed that rutin had the strongest effect on stopping NADPH oxidase enzyme, with a glide score of −6.889 Kcal/mol. Sinapic acid inhibited E. coli beta-ketoacyl-[acyl carrier protein] synthase (−7.517 kcal/mol), and apigenin showed high binding affinity to S. aureus nucleoside di-phosphate kinase, with −8.656 kcal/mol. Succinic acid has the strongest anticancer effect for caspase-3, with a glide score of −8.102 kcal/mol. These bioactive components may be beneficial as antioxidant and antibacterial applications in medicine, foods, natural cosmetics, and breast cancer prevention in the future. As a result, the use of this indigenous plant must be considered to maximize its value and preservation.
Low, but Not High, Pulsating Fluid Shear Stress Affects Matrix Extracellular Phosphoglycoprotein Expression, Mainly via Integrin β Subunits in Pre-Osteoblasts
Authors: Jin Jianfeng , Zandieh-Doulabi Behrouz
Published: November 2024

Matrix extracellular phosphoglycoprotein (Mepe), present in bone and dentin, plays important multifunctional roles in cell signaling, bone mineralization, and phosphate homeostasis. Mepe expression in bone cells changes in response to pulsating fluid shear stress (PFSS), which is transmitted into cells through integrin-based adhesion sites, i.e., α and β subunits. Whether and to what extent PFSS influences Mepe expression through the modulation of integrin α and/or β subunit expression in pre-osteoblasts is uncertain. Therefore, we aimed to test whether low and/or high PFSS affects Mepe expression via modulation of integrin α and/or β subunit expression. MC3T3-E1 pre-osteoblasts were treated with ± 1 h PFSS (magnitude: 0.3 Pa (low PFSS) or 0.7 Pa (high PFSS); frequency: 1 Hz). Single integrin fluorescence intensity in pre-osteoblasts was increased, but single integrin area was decreased by low and high PFSS. Expression of two integrin α subunit-related genes (Itga1 and Itga5 2) was increased by low PFSS, and one (Itga5 2) by high PFSS. Expression of five integrin β subunit genes (Itgb1, Itgb3, Itgb5, Itgb5 13, and Itgb5 123) was increased by low PFSS, and three (Itgb5, Itgb5 13, and Itgb5 123) by high PFSS. Interestingly, Mepe expression in pre-osteoblasts was only modulated by low, but not high, PFSS. In conclusion, both low and high PFSS affected integrin α and β subunit expression in pre-osteoblasts, while integrin β subunit expression was more altered by low PFSS. Importantly, Mepe gene expression was only affected by low PFSS. These results might explain the different ways that Mepe-induced changes in pre-osteoblast mechanosensitivity may drive signaling pathways of bone cell function at low or high impact loading. These findings might have physiological and biomedical implications and require future research specifically addressing the precise role of integrin α or β subunits and Mepe during dynamic loading in bone health and disease.
Evidence to Support the Collaboration of SP1, MYC, and HIF1A and Their Association with microRNAs
Authors: Chun Jong Ho , Kimura Kotohiko , Rajput Monika , Hsu Ming-Hua , Liang Yu-Chuan , Shanbhag Akanksha Ramadas , Chiang Pei-Ju , Jackson Tiffany L. B. , Huang Ru Chih C.
Published: November 2024

This study provides evidence to support the concept proposed by Kimura et al. in 2023 that the inhibitors of SP1, MYC, and HIF1A should induce strong anticancer activity by reducing the expression of stem cell-related proteins. In LN229 and U87MG glioblastoma cells, either tetra-methyl-O-nordihydroguaiaretic acid (M4N) or tetra-acetyl-O-nordihydroguaiaretic acid (A4N) suppressed SP1 and only a few stem cell-related proteins and induced only a small amount of cell death; in contrast, the combination treatment of M4N with A4N greatly suppressed the expression of SP1, MYC, and HIF1A, as well as all of the stem cell-related proteins examined, and greatly induced cell death. The bioinformatic analysis showed that the proteins associated with SP1, MYC, and HIF1A were specifically involved in the regulation of transcription and that various microRNAs (miRNAs) that had been shown to induce either anti- or procancer activity were associated with SP1, MYC, and HIF1A, which suggested that the inhibition of SP1, MYC, and HIF1A could modulate the transcription of both coding and noncoding RNAs and affect cancers. These data overall supported our concept.
Comparison of Carbon-Dioxide Emissions of Diesel and LNG Heavy-Duty Trucks in Test Track Environment
Authors: Sütheö Gergő , Háry András
Published: November 2024

Environmental protection and greenhouse gas (GHG) emissions are getting increasingly high priority in the area of mobility. Several regulations, goals and projects have been published in recent years that clearly encourage the reduction of carbon dioxide (CO2) emission, the adoption of green alternatives and the use of renewable energy sources. The study compares CO2 emissions between conventional diesel and liquefied natural gas (LNG) heavy-duty vehicles (HDVs), and furthermore investigates the main influencing factors of GHG emissions. This study was carried out in a test–track environment, which supported the perfect reproducibility of the tests with minimum external influencing factors, allowing different types of measurements. At the results level, our primary objective was to collect and evaluate consumption and emission values using statistical methods, in terms of correlations, relationships and impact assessment. In this research, we recorded CO2 and pollutant emission values indirectly via the fleet management system (FMS) using controller area network (CAN) messages. Correlation, regression and statistical analyses were used to investigate the factors influencing fuel consumption and emissions. Our scientific work is a unique study in the field of HDVs, as the measurements were performed on the test track level, which provide accuracy for emission differences. The results of the project clearly show that gas technology can contribute to reducing GHG emissions of HDVs, and LNG provides a reliable alternative way forward for long-distance transportation, especially in areas of Europe where filling stations are already available.
Trade-Off Between Growth Regimes in Chlorella vulgaris: Impact on Carotenoid Production
Authors: Caetano Patrícia Acosta , Nass Pricila Pinheiro , Deprá Mariany Costa , Nascimento Tatiele Casagrande do , Jacob-Lopes Eduardo , Zepka Leila Queiroz
Published: November 2024

With the increasing awareness of socio-environmental issues, a global trend has emerged emphasizing the valorization of natural ingredients that promote health and well-being within sustainable production systems, such as microalgae-based carotenoids. Currently, little is understood about the correlation between biomass productivity and carotenoid content, which is a fundamental parameter for facilitating the immediate expansion of microalgae bioprocesses and ensuring the availability and industrial viability of these compounds. In this context, this study aims to investigate the carotenoid profile of Chlorella vulgaris through growth curve experiments conducted under photoautotrophic and heterotrophic regimes. Additionally, a trade-off analysis was performed for the production of carotenoids from microalgae. Carotenoids were quantified using high-performance liquid chromatography coupled with diode array and mass spectrometry detectors (HPLC-PDA-MS/MS). The performance of kinetic phases and energy demands across growth regimes was assessed to provide insights into production trade-offs. The results indicated that a total of 22 different carotenoids were identified in all the extracts. The all-trans-lutein and all-trans-β-carotene were the majority compounds. The total carotenoid content of Chlorella vulgaris revealed significant differences in the kinetic phases of carotenoid production, indicating that carotenoid volumetric production is only viable if the cultures are conducted until the log and stationary phases, based on the function of the biomass volumetric production (weight.volume−1). Therefore, the best trade-off for the process was to provide photoautotrophic growth until the exponential phase (log). Under this condition, the maximum carotenoid and lutein content was 2921.70 µg.L−1, reaching a maximum cell biomass of 1.46 g.L−1. From an environmental/economic point of view, the energy demand was 7.74 kWh.L−1. Finally, the scientific advances achieved in this study provide a holistic view of the influence of the main cultivation methods on the production of microalgae carotenoids, suggesting a viable initial direction for different industrial applications.
Exploring the Potential of Morphometrics to Inform the Conservation of Iguana delicatissima
Authors: van den Burg Matthijs P. , Kappelhof Jeroen , Mitchell Adam , Debrot Adolphe O.
Published: November 2024

Invasive alien species severely impact native and endemic species, disproportionately affecting insular species like Caribbean reptiles. The Lesser Antillean iguana, Iguana delicatissima, is rapidly declining due to hybridization with non-native green iguanas (NNGIs). With numerous NNGI populations present in the region, the last I. delicatisisma-inhabited islands remain highly susceptible to invasion, whereupon the rapid in situ differentiation of NNGIs is essential. However, currently only few scale and coloration characters allow the in situ identification of NNGIs. Here, we assessed the differentiating power of an additional 20 meristic and length-dependent characteristics between the I. delicatissima population on St. Eustatius and the NNGI population on St. Maarten, the main source of NNGIs arriving on St. Eustatius. Of these, 13 significantly differed between I. delicatissima and NNGIs, with a ≥94% assignment accuracy in multi-variate predictive models. We recommend that these characteristics be assessed and validated, especially for hybrid individuals, allowing the identification of NNGIs even in populations where hybridization is ongoing. Our work demonstrates the value of investing in baseline morphometric datasets for I. delicatissima and other native iguanas to aid in the rapid in situ detection of NNGIs for removal.
Predictive Value of GINI and ALBI Grades in Esophageal Cancer Receiving Chemoradiotherapy
Authors: Koca Timur , Hasdemir Busra , Aksoy Rahmi Atıl , Korcum Aylin Fidan
Published: November 2024

Objectives: The principal objective of this study was to assess the predictive efficacy of the global immune–nutrition–inflammation index (GINI) and the albumin–bilirubin (ALBI) score among patients receiving chemoradiotherapy for esophageal cancer. Methods: A retrospective analysis was conducted on 46 patients who received definitive or neoadjuvant radiotherapy for esophageal cancer at our institution. Blood samples were collected from these patients prior to the initiation of radiotherapy to measure the biomarkers, including the C-reactive protein (CRP), neutrophil–lymphocyte ratio (NLR), platelet–lymphocyte ratio (PLR), monocyte–lymphocyte ratio (MLR), the global immune–nutrition–inflammation index (GINI), and the albumin–bilirubin (ALBI) grade. The predictive significance of these biomarkers for progression-free survival (PFS) and overall survival (OS) was evaluated using both univariate and multivariate Cox regression analyses. Results: The median follow-up time for this study was 19.5 months (range: 2.6–166.3 months). Univariate analysis revealed that the platelet count (p = 0.003) and monocyte count (p = 0.04) were significant predictors of PFS. In the multivariate analysis, only the platelet count (p = 0.005) remained an independent predictor of PFS. Univariate analysis demonstrated that the neutrophil count (p = 0.04), lymphocyte count (p = 0.01), NLR (p = 0.005), PLR (p = 0.004), CRP (p = 0.02), ALBI grade (p = 0.01), and GINI (p = 0.005) were significant predictors of OS. Multivariate analysis identified the GINI as a predictor of OS, approaching statistical significance (p = 0.08). Conclusion: The results of our study indicate that the pretreatment GINI and ALBI grades are significantly and independently associated with the OS rates in patients with esophageal cancer who are undergoing chemoradiotherapy.
Dietary Supplements and the Gut–Brain Axis: A Focus on Lemon, Glycerin, and Their Combinations
Authors: Guo Tai L. , Navarro Jarissa , Luna Maria Isabel , Xu Hannah Shibo
Published: November 2024

Dietary supplements are products taken orally, and they contain an ingredient intended to augment the diet. Many studies demonstrate clear alterations in microbe abundances and the production of microbiota-derived metabolites, such as short-chain fatty acids, following dietary changes. This review comprehensively explores the possible interactions among gut microbiota, lemon extracts, glycerin, and their mixture products. Lemon extracts/components are associated with a vast array of health benefits, including anti-inflammation, antioxidant, anti-atherosclerotic, and anti-diabetic effects. They are also associated with increased memory and decreased depression. Glycerin can reduce serum free fatty acids and mimic caloric restriction; its metabolites can function as a broad-spectrum antimicrobial. Additionally, glycerin has a dehydrating effect on the central nervous system and can reduce focal cerebral edema and improve performance by expanding plasma volume. However, it may also have side effects, such as hyperglycemia. Therefore, combined consumption of lemon extracts and glycerin may, in part, mitigate each other’s side effects while exerting their benefits. There is growing evidence that both lemon components and glycerin are metabolized by the gut microbiota and may modulate the intestinal microbiome composition. Therefore, gut microbiome alterations are also explored as an important mechanism in the gut–brain axis regulating various effects of these dietary supplements and their application in various noncommunicable neurological disorders.
Mobile Applications and Artificial Intelligence for Nutrition Education: A Narrative Review
Authors: Nogueira-Rio Nerea , Varela Vazquez Lucia , Lopez-Santamarina Aroa , Mondragon-Portocarrero Alicia , Karav Sercan , Miranda Jose Manuel
Published: November 2024

Mobile applications, websites and social media networks are now widely used communication tools. With the emergence of communication-related technologies in our lives and, consequently, the rise of social media networks and mobile applications, nutrition-related applications have become popular. Smartphones and other artificial intelligence technologies have become very useful tools for delivering nutrition-related interventions because they are very accessible and cost-effective. Digital interventions are also able to serve a larger number of communities than traditional interventions. Nutrition is not a field that has remained on the sidelines of these technological advances, and numerous mobile applications and technological tools have emerged that are intended to provide dietary advice or guidelines on the process of recovering from a disease. However, many of these applications have limitations and barriers that are important to consider. The aim of this review was to analyze the most current and widely used mobile applications related to nutrition, as well as their complementary tools (activity bracelets and smart scales, among others), highlighting their importance in improving lifestyle habits. In addition, their advantages and disadvantages are discussed and future directions are proposed.
Using Multi-Sensor Data Fusion Techniques and Machine Learning Algorithms for Improving UAV-Based Yield Prediction of Oilseed Rape
Authors: Zhu Hongyan , Liang Shikai , Lin Chengzhi , He Yong , Xu Jun-Li
Published: November 2024

Accurate and timely prediction of oilseed rape yield is crucial in precision agriculture and field remote sensing. We explored the feasibility and potential for predicting oilseed rape yield through the utilization of a UAV-based platform equipped with RGB and multispectral cameras. Genetic algorithm–partial least square was employed and evaluated for effective wavelength (EW) or vegetation index (VI) selection. Additionally, different machine learning algorithms, i.e., multiple linear regression (MLR), partial least squares regression (PLSR), least squares support vector machine (LS-SVM), back propagation neural network (BPNN), extreme learning machine (ELM), and radial basis function neural network (RBFNN), were developed and compared. With multi-source data fusion by combining vegetation indices (color and narrow-band VIs), robust prediction models of yield in oilseed rape were built. The performance of prediction models using the combination of VIs (RBFNN: Rpre = 0.8143, RMSEP = 171.9 kg/hm2) from multiple sensors manifested better results than those using only narrow-band VIs (BPNN: Rpre = 0.7655, RMSEP = 188.3 kg/hm2) from a multispectral camera. The best models for yield prediction were found by applying BPNN (Rpre = 0.8114, RMSEP = 172.6 kg/hm2) built from optimal EWs and ELM (Rpre = 0.8118, RMSEP = 170.9 kg/hm2) using optimal VIs. Taken together, the findings conclusively illustrate the potential of UAV-based RGB and multispectral images for the timely and non-invasive prediction of oilseed rape yield. This study also highlights that a lightweight UAV equipped with dual-image-frame snapshot cameras holds promise as a valuable tool for high-throughput plant phenotyping and advanced breeding programs within the realm of precision agriculture.
Vision-Based Drone Detection in Complex Environments: A Survey
Authors: Liu Ziyi , An Pei , Yang You , Qiu Shaohua , Liu Qiong , Xu Xinghua
Published: November 2024

The frequent illegal use of drones poses a serious threat to public security and property. Counter-drones are crucial tools. The prerequisite for an effective counter-drone is to detect drones accurately. With the rapid advancements in computer vision, vision-based drone detection methods have emerged as a hot topic of research. However, current reviews of vision-based drone detection are less focused on algorithmic summarization and analysis. For this reason, this survey aims to comprehensively review the latest methods for vision-based drone detection in complex environments, with the goal of providing a more thorough reference and guidance for related research. We first explore the imaging and drone characteristics in complex environments and summarize the main challenges of visual UAV detection. Then, we summarize the existing solutions for the main challenges. Finally, we systematically organize and introduce the commonly used datasets and evaluation metrics and conduct experiment comparisons based on the representative methods. We not only reveal the current development status of visual UAV detection but also analyze the deficiencies in current research. On this basis, we further look forward to future research directions and possible breakthroughs, with a view to providing useful insights for further research and development in related fields.
Prediction and Scenario Simulation of Carbon Emissions Peak of Resource-Based Urban Agglomeration with Industrial Clusters—Case of Hubaoe Urban Agglomeration Inner Mongolia Autonomous Region, China
Authors: Yang Wen , Xia Bing , Li Yu , Qi Xiaoming , Zhang Jing
Published: November 2024

China has implemented a “dual-carbon” policy in response to the Paris Agreement’s global climate change objectives. Hohhot, Baotou, and Ordos (HBO-UA) is a resource-based urban agglomeration that is noteworthy for having significant heavy industry in China. Based on the extended STRIPAT model, which broadens the study indicators into six aspects—population, economics, technology, urbanization, industrial energy, and industrial structure—this paper develops a research framework of “Driving–Predicting–Simulating” for carbon emissions. According to the “one formula for one city” principle, driver models were constructed for Hohhot, Baotou, and Ordos, respectively. The following conclusions were drawn: (1) Population and urbanization are the dominant factors of carbon emissions in HBO-UA, following the economy and industrial energy. (2) Carbon emissions are multifactor-driven in Hohhot, double-factor-driven in Baotou, and single-factor-driven in Ordos. (3) Hohhot can achieve its carbon emissions peak under more efficient and lower policy costs, while Ordo is under great pressure to reduce carbon emissions. (4) We suggest multiple strategies to accomplish the “dual-carbon” goals for resource-based urban agglomeration with industrial clusters. These strategies include fostering diversified consumption by continuously enhancing urban functions, directing the transformation of the industrial structure, and fostering the growth of emerging industries.
Experimental Determination of a Mixture Composed of Camisea Natural Gas and CO2 Laminar Burning Velocity
Authors: Rojas Freddy Jesus , Cisneros Roberto Franco , De-La-Cruz Celso , Jimenez Fernando
Published: November 2024

The aim of this work is to provide new experimental data on laminar burning velocities for a new synthetic mixture composed of Camisea natural gas and CO2. It was found that the relevant published experimental background data are limited to mixtures composed of methane and CO2; considering the fact that Camisea natural gas is widely used in Peru, this experimental research will serve as a supportive resource for further experimental and industrial implementations in this country, such as the design and modeling of new engines or industrial burners that are designed to be fueled by this mixture. An experimental setup for analyzing three types of flame geometry, which is feasible to implement for a wide range of conditions, was built in PUCP PI0735 laboratory and all the measurements were obtained for a range of mixtures (0%, 21.2%, 28.5%, 38.9%, 50% CO2) and ratios from around 0.55 to 0.95 at atmospheric conditions. The laminar burning velocities results obtained were analyzed in groups based on %CO2. In addition, the experimental margin error was determined by considering all the sources. The following conclusions were reached: (1) The laminar burning velocity decreases with the increase in CO2 percentage in the mixture due to the CO2 decreasing the flame temperature effect. (2) The flat flame type provided the highest value of burning velocity for each group of CO2 percentage in which it appears. (3) The highest obtained laminar burning velocity value was 22.64 ± 0.15 cm/s, for a flat flame with a ratio of 0.72 and 29.98% of CO2, while the lowest obtained value was 6.78 ± 0.15 cm/s for a conical trunk flame with a ratio of 0.59 and 49.83% of CO2. (4) The highest evaluated CO2 percentage was 50.97% for a conical trunk flame with a ratio of 0.69 and a burning velocity value of 11.04.
Educational Data Mining: A Foundational Overview
Authors: Papadogiannis Ilias , Wallace Manolis , Karountzou Georgia
Published: November 2024

Educational data mining (EDM) is a novel scientific area that focuses on developing and applying methods to analyze datasets generated within educational settings. This paper outlines the evolution, significance, and applications of EDM. With the increasing popularity of e-learning in web-based educational systems, EDM has expanded to include a variety of analytical methods and data sources. Some key methodologies addressed include classification, regression analysis, clustering techniques, association rule mining, and Natural Language Processing, among others. Additionally, this paper looks at how EDM can facilitate data-driven decision-making among other areas such as curriculum development and customization of learners’ experiences. It also touches on issues related to the challenges of the scientific field. Finally, some projections about EDM’s future trends are made, especially concerning its integration into AI technologies and development trends like augmented reality or virtual reality, which imply greater possibilities for changes than any other series witnessed before within this sphere.
Energy Efficiency and Mathematical Modeling of Shrimp Pond Oxygenation: A Multiple Regression Experimental Study
Authors: Castillo Alvarez Yoisdel , González González Yorlan , Jiménez Borges Reinier , Iturralde Carrera Luis Angel , Álvarez-Alvarado José M. , Rodríguez-Reséndiz Juvenal
Published: November 2024

Aquaculture is one of the key economic activities to reduce food shortages worldwide. Water recirculation systems using pumps are crucial to maintain oxygenation and water quality, consuming about 35% of the total energy in this economic activity. This research proposes a multiple linear regression mathematical model to optimize oxygenation systems in intensive shrimp aquaculture by reducing energy consumption and minimizing water changes in ponds. The proposed model is key to optimizing the operation of pumping systems, allowing us to significantly reduce water turnover without compromising dissolved oxygen levels as a function of key variables such as water turnover volume, biomass, solar radiation (0–1200 W/m2), water temperature (20 °C–32 °C), phytoplankton levels (0–1,000,000 cells/ml), zooplankton (0–500,000 cells/ml), and wind speed (0–15 m/s). These variables are integrated into the model, managing to explain 94.02% of the variation in dissolved oxygen, with an R2 of 92.9%, which adjusts the system conditions in real time, reducing the impact of environmental fluctuations on water quality. This leads to an estimated annual energy savings of 106,397.5 kWh, with a total consumption of 663.8 MWh. The research contributes to the development of a mathematical approach that not only improves oxygenation prediction, but also minimizes the use of water resources, improving the sustainability and profitability of shrimp farming systems, and is a robust tool that maximizes operational efficiency in intensive aquaculture, particularly where water and energy management are critical.
Diagnosis of GHG Emissions in an Offshore Oil and Gas Production Facility
Authors: Acevedo Blanco Victor Leonardo , Gallo Waldyr Luiz Ribeiro
Published: November 2024

This work presents a diagnosis of greenhouse gas (GHG) emissions for floating production storage and offloading (FPSO) platforms for oil and gas production offshore, using calculation methodologies from the American Petroleum Institute (API) and U.S. Environmental Protection Agency (EPA). To carry out this analysis, design data of an FPSO platform is used for the GHG emissions estimation, considering operations under steady conditions and oil and gas processing system simulations in the Aspen HYSYS® software. The main direct emission sources of GHG are identified, including the main combustion processes (gas turbines for electric generation and gas turbine-driven CO2 compressors), flaring and venting, as well as fugitive emissions. The study assesses a high CO2 content in molar composition of the associated gas, an important factor that is considered in estimating fugitive emissions during the processes of primary separation and main gas compression. The resulting information indicates that, on average, 95% of total emissions are produced by combustion sources. In the latest production stages of the oil and gas field, it consumes 2 times more energy and emits 2.3 times CO2 in terms of produced hydrocarbons. This diagnosis provides a baseline and starting point for the implementation of energy efficiency measures and/or carbon capture and storage (CCS) technologies on the FPSO in order to reduce CO2 and CH4 emissions, as well as identify the major sources of emissions in the production process.
Understanding Elderly Drivers’ Perception of Advanced Driver Assistance Systems: A Systematic Review of Perceived Risks, Trust, Ease of Use, and Usefulness
Authors: Biassoni Federica , Gnerre Martina
Published: November 2024

Background: Elderly drivers often face safety challenges due to age-related declines in cognitive, sensory, and motor functions. Advanced Driver Assistance Systems (ADAS) offer a potential solution by enhancing safety and mobility. Objectives and method: This systematic review investigates the factors influencing the perception and usage of ADAS among elderly drivers, focusing on perceived safety, usefulness, trust, and ease of use. Results: Older adults show a preference for Level 1 ADAS, which they perceive as safer. Although they acknowledge the usefulness of ADAS in supporting their autonomy, skepticism remains regarding higher-level systems, primarily due to concerns about reliability and invasiveness. Trust and ease of use are essential factors influencing their acceptance. The review identifies common themes and barriers to the adoption of these technologies and emphasizes the need for senior-friendly interfaces and targeted training. The findings indicate that addressing these issues can significantly improve the safety and mobility of elderly drivers. The successful adoption of ADAS among older adults depends on balancing safety, control, and ease of use, with gradual and supportive integration fostering greater acceptance and trust. Conclusions: This study outlines practical implications for stakeholders, emphasizing the need for user-friendly ADAS design, public awareness campaigns, government incentives, insurance discounts, and community training to enhance adoption among older drivers.
Potassium Fertilization Alters the Morphogenetic, Structural, and Productive Characteristics of Panicum maximum Cultivars
Authors: Véras Emmanuel Lievio de Lima , Difante Gelson dos Santos , Araújo Alexandre Romeiro de , Montagner Denise Baptaglin , Monteiro Gabriela Oliveira de Aquino , Araújo Carolina Marques Costa , Gurgel Antonio Leandro Chaves , Macedo Manuel Cláudio Motta , Rodrigues Jéssica Gomes , Santana Juliana Caroline Santos
Published: November 2024

The objective was to evaluate the effects of potassium fertilization on the morphogenetic, structural, and productive characteristics of Panicum maximum (cvs. Tanzania, Quênia, Mombaça, Zuri, Massai, and Tamani). The design was in randomized blocks with four doses of potassium (K) 0, 205, 410, and 820 mg dm−3, divided into 5 applications. The analyzed variables were leaf appearance rate (LAR), leaf elongation rate (LER), stem elongation rate (SER), leaf senescence rate (LSR), leaf life span (LLS), phyllochron (PC), number of live leaves (NLL), final leaf length (FLL), tiller population density (TPD), and forage mass (FM). LAR increased by 0.00216 leaves tiller on day-1 (p = 0.0354) and LER increased by 0.00980 cm tiller on day-1 for each milligram of K (p = 0.0402). There was an increase in FLL of 0.16, 0.08, and 0.07 days for the cultivars Mombaça, Massai, and Tamani, respectively, for each milligram of K applied (p = 0.0034). The TPD of the cultivar Tamani increased linearly by 0.074 tillers/pot for each milligram of K (p = 0.0226), and the cultivar Massai showed a quadratic behavior. The TPD of the other cultivars was not influenced by the increase in the K doses. For forage mass (FM), the cultivars Mombaça and Quênia increased by 0.16 and 0.39 g DM/pot for each milligram of K added to the soil. The cultivars Tanzânia, Zuri, Massai, and Tamani showed maximum point at doses of 261.35, 279.45, 300.57, and 275.86 mg dm−3 K, respectively. Potassium fertilization linearly increased leaf appearance and elongation, with maximum productivity reached at a K dose of 430 mg dm−3, except for the cultivars Mombaça and Quênia, which responded up to a K dose of 820 mg dm−3.
Venous Thromboembolism and Decreased Serum Albumin in Children with Acute Lymphoblastic Leukemia: A Challenge for Endothelial Homeostasis?
Authors: Muggeo Paola , Muggeo Vito Michele Rosario , Grassi Massimo , Perillo Teresa , Forte Jessica , Raguseo Celeste , Santoro Nicola
Published: November 2024

Background: Serum albumin is crucial for critically ill patients. To date, several reports have focused on the influence of lower albumin levels on poorer prognosis and disease outcome in different subsets of critical clinical conditions varying from sepsis, to cirrhosis, renal failure, and cancer. In the last few years, investigators reported the role of serum albumin levels in predicting the thrombotic risk in patients with nephrotic syndrome, and, in particular, the degree of hypoalbuminemia seemed to influence the risk of thromboembolism. Decreased serum albumin has been associated with the risk of venous thromboembolism and mortality in adult cancer patients after ending chemotherapy for different malignancies. Aims: We aimed to investigate the role of serum albumin in a cohort of children diagnosed as having VTE (venous thromboembolism) during their treatment for acute lymphoblastic leukemia (ALL) compared to ALL children who did not experience VTE. Methods: A nested case-control study was conducted at the Pediatric Oncology and Hematology Department, University Hospital of Bari. A total of 167 patients were diagnosed as having ALL and treated according to AIEOP-BFM ALL 2000-R2006 protocol. Among these, 12 cases of VTE were recorded and matched to 31 controls, for a total of 43 ALL patients (30 males, aged 1.2–16.6 years) enrolled in the present study. Serum albumin level was collected at diagnosis—before the start of any treatment—(time point 0) and at the moment of the VTE or corresponding time point of the protocol (time point 1). Information on inherited thrombophilia genotype were also recorded. Results: Patients presenting VTE showed a marked reduction of average albumin levels as compared to the control children: t0–t1 1.1 IC (95%) = (0.55, 1.65) vs. 0.31 IC (95%) = (0.08, 0.55); p < 0.005. Conclusions: The reduction of serum albumin levels in our cohort might be an expression of altered vascular and endothelial homeostasis, likely predisposing to VTE. This important clinical observation warrants further larger studies.
Authenticity in Interactive Experiences
Authors: Pescarin Sofia , Città Giuseppe , Spotti Samuele
Published: November 2024

Building on our previous work presented at the Eurographics GCH conference, this paper further explores the characteristics of an “authentic experience”, developing a framework that can be applied to the development of XR and hybrid applications in the field of cultural heritage. While recognising the broader concept of authenticity, we have not focused on an in-depth analysis of it. Instead, we focus specifically on “authentic experiences”. Here, we have extended the definition of authenticity beyond realism or sense of presence, proposing instead a multi-dimensional approach to engaging users cognitively, emotionally, and sensorially (the “Self” dimension) and, at the same time, including two other fundamental dimensions (the “Others” and the “World”) intrinsically connected to the “Self”. We have then further detailed these three dimensions, which are the pillars of the perception of authenticity, identifying their “components” and “elements”. Finally, we transformed the elements into “actionable” design indications, setting the ground to further develop specific design (UI and UX) strategies for digital heritage and serious game applications.