bluuebunny/crossref_metadata_2025 huggingface dataset:
Alloying and Segregation in PdRe/Al2O3 Bimetallic Catalysts for Selective Hydrogenation of Furfural
Authors: Thompson Simon T. , Lamb H. Henry
Published: September 2024

X-ray absorption fine structure (XAFS) spectroscopy, temperature-programmed reduction (TPR), and temperature-programmed hydride decomposition (TPHD) were employed to elucidate the structures of a series of PdRe/Al2O3 bimetallic catalysts for the selective hydrogenation of furfural. TPR evidenced low-temperature Re reduction in the bimetallic catalysts consistent of the migration of [ReO4]− (perrhenate) species to hydrogen-covered Pd nanoparticles on highly hydroxylated γ-Al2O3. TPHD revealed a strong suppression of β-PdHx formation in the reduced catalysts prepared by (i) co-impregnation and (ii) [HReO4] impregnation of the reduced Pd/Al2O3, indicating the formation of Pd-rich alloy nanoparticles; however, reduced catalysts prepared by (iii) [Pd(NH3)4]2+ impregnation of calcined Re/Al2O3 and subsequent re-calcination did not. Re LIII X-ray absorption edge shifts were used to determine the average Re oxidation states after reduction at 400 °C. XAFS spectroscopy and high-angle annular dark field (HAADF)-scanning transmission electron microscopy (STEM) revealed that a reduced 5 wt.% Re/Al2O3 catalyst contained small Re clusters and nanoparticles comprising Re atoms in low positive oxidation states (~1.5+) and incompletely reduced Re species (primarily Re4+). XAFS spectroscopy of the bimetallic catalysts evidenced Pd-Re bonding consistent with Pd-rich alloy formation. The Pd and Re total first-shell coordination numbers suggest that either Re is segregated to the surface (and Pd to the core) of alloy nanoparticles and/or segregated Pd nanoparticles are larger than Re nanoparticles (or clusters). The Cowley short-range order parameters are strongly positive indicating a high degree of heterogeneity (clustering or segregation of metal atoms) in these bimetallic catalysts. Catalysts prepared using the Pd(NH3)4[ReO4]2 double complex salt (DCS) exhibit greater Pd-Re intermixing but remain heterogeneous on the atomic scale.
The Contradicting Influences of Silica and Titania Supports on the Properties of Au0 Nanoparticles as Catalysts for Reductions by Borohydride
Authors: Rolly Gifty Sara , Sermiagin Alina , Sathiyan Krishnamoorthy , Meyerstein Dan , Zidki Tomer
Published: September 2024

This study investigates the significant impact of metal–support interactions on catalytic reaction mechanisms at the interface of oxide-supported metal nanoparticles. The distinct and contrasting effects of SiO2 and TiO2 supports on reaction dynamics using NaBD4 were studied and focused on the relative yields of [HD]/[H2] and [D2]/[H2]. The findings show a consistent increase in HD yields with rising [BD4−] concentrations. Notably, the sequence of HD yield enhancement follows the order of TiO2-Au0-NPs < Au0-NPs < SiO2-Au0-NPs. Conversely, the rate of H2 evolution during BH4- hydrolysis exhibits an inverse trend, with TiO2-Au0-NPs outperforming the others, followed by Au0-NPs and SiO2-Au0-NPs, demonstrating the opposing effects exerted by the TiO2 and SiO2 supports on the catalytic processes. Further, the catalytic reduction of 4-nitrophenol (4-NP) to 4-aminophenol (4-AP) confirms the catalytic mechanism, with TiO2-Au0-NPs demonstrating superior activity. The catalytic activity observed aligns with the order of TiO2-Au0-NPs > Au0-NPs > SiO2-Au0-NPs, suggesting that SiO2 donates electrons to Au0-NPs, while TiO2 withdraws them. It is of interest to note that two very different processes, that clearly proceed via different mechanisms, are affected similarly by the supports. This study reveals that the choice of support material influences catalytic activity, impacting overall yield and efficiency. These findings underscore the importance of selecting appropriate support materials for tailored catalytic outcomes.
Oily Wastewater Treatment by Using Fe3O4/Bentonite in Fixed-Bed Adsorption Column
Authors: Sarran Mohammed A. , AbdulRazak Adnan A. , Abid Mohammed F. , Jawad Al-Bayati Alaa Dhari , Rashid Khalid T. , Shehab Mohammed Ahmed , Mohammed Haidar Hasan , Alsarayefi Saad , Alhafadhi Mahmood , Alktranee Mohammed
Published: September 2024

Oily wastewater is a major environmental issue resulting from different industrial and manufacturing activities. Contaminated water with oil represents a significant environmental hazard that can harm numerous life forms. Several methodologies have been tested for the removal of oily wastewater from aqueous solutions, and adsorption in a flow-through reactor is an effective mechanism to reduce these effluents. This study focuses on evaluating the ability of Fe3O4/Bent material to adsorb gasoline emulsion from a solution using a fixed-bed column, and it involves analyzing the resulting breakthrough curves. The FT-IR, SEM, EDX, and XRD techniques were used to characterize Fe3O4/Bent. Various ranges of variables were examined, including bed height (2–4 cm), flow rate (3–3.8 mL/min), and initial concentration (200–1000 mg/L), to determine their impacts on the mass transfer zone (MTZ) length and the adsorption capacity (qe). It was shown that a higher bed height and a lower flow rate contributed to a longer time of breakthrough and exhaustion. At the same time, it was noted that under high initial gasoline concentrations, the fixed-bed system rapidly reached breakthrough and exhaustion. Models like the Yoon–Nelson and Thomas kinetic column models were employed to predict the breakthrough curves. Thomas and Yoon–Nelson’s breakthrough models provided a good fit for the breakthrough curves with a correlation coefficient of R2 > 0.95. Furthermore, with a fixed-bed system, the Thomas and Yoon–Nelson models best describe the breakthrough curves for gasoline removal.
An Experimental Dynamic Investigation of the Influence of Melatonin, Serotonin and Tryptophan on the Stability of the DNA Structure
Authors: Drăgoi Cristina Manuela , Zanfirescu Anca , Dumitrescu Ion-Bogdan , Ungurianu Anca , Margină Denisa Marilena , Nicolae Alina-Crenguţa
Published: September 2024

Background: Small molecules play a crucial role in the exploration of physiological pathways and in drug development by targeting deoxyribonucleic acid (DNA). DNA is a central focus for both endogenous and exogenous ligands, which interact directly or indirectly to regulate transcription and replication processes, thus controlling genetic expression in specific cells. Among these molecules, indole derivatives like tryptophan, serotonin, and melatonin are notable for their widespread presence in nature and significant biological effects. Tryptophan, an essential amino acid, serves as a vital structural element in proteins and a precursor for bioactive compounds like serotonin and melatonin, which impact various physiological functions. Methods: Experimental studies have been conducted to reveal the interaction mechanisms of these endogenous indole derivatives with calf thymus DNA (ct-DNA). These investigations involve viscosity measurements and analysis of double-stranded DNA behavior in the presence of indole molecules, using spectrophotometric UV absorption techniques to assess their impact on DNA stability. Additionally, the influence of calcium and magnesium ions on the resulting complexes of these indole derivatives with ct-DNA has been evaluated. Molecular docking validated our findings, offering additional insights into potential DNA–ligand interactions. Utilizing a crystallographic oligomer with an intercalation gap improved docking accuracy, distinguishing intercalation from groove recognition and enhancing assessment precision. Results: Our study offers detailed insights into the interaction patterns of the indole derivatives with DNA and is highly supported by molecular docking analyses: the indole derivatives were predominantly localized between C and G, interacting via π-π interactions and hydrogen bonds and aligning with known data on conventional intercalators. These findings underscore the importance of small compounds’ planar structure and appropriate size, facilitating tight insertion between adjacent base pairs and disrupting regular DNA stacking. Conclusions: Indoles’ physiological roles and potential as drug candidates targeting specific pathways are highlighted, emphasizing their significance as ubiquitous molecules with the ability to modulate biological effects on DNA structure.
Preliminary Effectiveness of a One-Week Summer Day Camp for Improving Children’s Health Behaviors and Psychosocial Well-Being Outcomes
Authors: Tan Qiaoyin , Nie Yuxin , Son Paul , Underwood Renee A. , Murray Peyton , Hebert Callie , McKey K-Lynn , Hendrick Chelsea , Staiano Amanda E. , Chen Senlin
Published: September 2024

Purpose: Summer day camp offers children opportunities to grow knowledge and skills, be physically active, and have fun. Compared to healthy children, at-risk children (i.e., overweight, or with obesity and chronic health conditions) typically display less optimal health behaviors and psychosocial well-being, especially during summer months. This study examined the preliminary effectiveness of an American-Diabetes-Association-sponsored summer day camp at improving children’s health behaviors (i.e., physical activity, screen time, diet, sleep) and psychosocial well-being outcomes (i.e., quality of life [QoL], enjoyment, weight-related self-efficacy). Method: The sample consisted of 39 participants, including 19 boys and 20 girls, with majority being overweight (n = 4 or 10%) or with obesity (n = 26 or 67%), who attended the day camp for one week. Results: Significant improvements were observed in screen time, quality of life, and physical function. The results further showed significant time by gender interaction effect for overall QoL (p < 0.05, ηp2 = 0.15), physical health (a dimension of QoL; p < 0.05, ηp2 = 0.18), and significant time by household income for the psychosocial health (another dimension of QoL), favoring boys and those from higher income families. Discussion: The findings indicate a positive preliminary effectiveness of the summer camp at reducing children’s screen time and improving their QoL, especially in boys and those from higher-income families. Future research should focus on health disparities and expansion of this camp for the potential of longer-term and more robust effects related to wellness, nutrition literacy, physical activity promotion, and obesity prevention.
Inpatient Management of Pain Episodes in Children with Sickle Cell Disease: A Review
Authors: Barnawi Zhour , Thomas Ronay , Peddinti Radhika , Abou Baker Nabil
Published: September 2024

Sickle cell disease (SCD) is the most common hemoglobinopathy in the world. Sickle cell vaso-occlusive episodes (VOEs) are very painful acute events and the most common complication as well as reason for hospitalization. SCD pain is best evaluated holistically with a pain functional assessment to aid in focusing pain management on reducing pain in addition to improving function. Patients with SCD have long endured structural racism and negative implicit bias surrounding the management of pain. Thus, it is important to approach the management of inpatient pain systematically with the use of multi-modal medications and nonpharmacologic treatments. Furthermore, equitable pain management care can be better achieved with standardized pain plans for an entire system and individualized pain plans for patients who fall outside the scope of the standardized pain plans. In this article, we discuss the best practices to manage SCD VOEs during an inpatient hospitalization.
A Study on Differences in Educational Method to Periodic Inspection Work of Nuclear Power Plants
Authors: Yashiro Yuichi , Wang Gang , Hatori Fumio , Yabuki Nobuyoshi
Published: September 2024

Construction work and regular inspection work at nuclear power plants involve many special tasks, unlike general on-site work. In addition, the opportunity to transfer knowledge from skilled workers to unskilled workers is limited due to the inability to easily enter the plant and various security and radiation exposure issues. Therefore, in this study, we considered the application of virtual reality (VR) as a method to increase opportunities to learn anytime and anywhere and to transfer knowledge more effectively. In addition, as an interactive learning method to improve comprehension, we devised a system that uses hand tracking and eye tracking to allow participants to experience movements and postures that are closer to the real work in a virtual space. For hand-based work, three actions, “pinch”, “grab”, and “hold”, were reproduced depending on the sizes of the parts and tools, and visual confirmation work was reproduced by the movement of the gaze point of the eyes, faithfully reproducing the special actions of the inspection work. We confirmed that a hybrid learning process that appropriately combines the developed active learning method, using experiential VR, with conventional passive learning methods, using paper and video, can improve the comprehension and retention of special work at nuclear power plants.
The Development of a High-Efficiency Small Induction Furnace for a Glass Souvenir Production Process Using Multiphysics
Authors: Thongsri Jatuporn , Poopanya Piyawong , Sriphalang Sanguansak , Pattanapichai Sorathorn
Published: September 2024

A small induction furnace (SIF), which has the important components of copper coils, a ceramic jig, and a graphite crucible, employed for a glass souvenir production process, has been developed as a form of clean technology for multiphysics, consisting of electromagnetics analysis (EA) and thermal analysis (TA). First, two experiments were established to measure parameters for multiphysics results validation and boundary condition settings. Then, the parameters were applied to multiphysics, in which the EA revealed magnetic flux density (B) and ohmic losses, and the TA reported a temperature consistent with the experimental results, confirming the multiphysics credibility. Next, a ferrite flux concentrator was added to the SIF during development. Multiphysics revealed that PC40 ferrite, as a flux concentrator with a suitable design, could increase B by about 159% compared to the conventional SIF at the power of 1000 W. As expected, the B increases alongside the increase in power applied to the coils, and is more densely concentrated in the flux concentrator than in other regions, enhancing the production process efficacy. Lastly, the developed SIF was employed in the actual process and received good feedback from users. The novel research findings are the developed SIF and methodology, exclusively designed for this research and practically employed for a glass souvenir production process.
Effect of the Atmosphere on the Properties of Aluminum Anodizing
Authors: Baltierra-Costeira Gabriela , Camporredondo-Saucedo Jesús Emilio , García-Rentería Marco Arturo , Falcón-Franco Lázaro Abdiel , Castruita-Ávila Laura Guadalupe , García-Lara Adrián Moisés
Published: September 2024

This study aims to quantify the effect of process parameters on the anodizing of Al6061 aluminum. To achieve this, studies on layer thickness, the porosity of the anodized surface, electrochemical techniques, X-ray diffraction, grain size estimation, and statistical analysis were conducted for three different atmospheres (without air, air, and oxygen). Parameter levels were established as follows: temperature (30 °C, 45 °C, and 60 °C), time (20 min, 40 min, and 60 min), electrolyte concentration (0.5 M), voltage (9 V), and current intensity (0.600 A). A 33 experimental design (three factors, three levels) was proposed, and mathematical models were obtained using general factorial design. The experimental design was used to determine the three most important variables in the optimal condition. A total of 27 tests were conducted using sulfuric acid electrolytic solutions, of which 12 samples were selected by the factorial design method, which simultaneously evaluates the effects of factors and their interactions in a single experiment. Measurement of porosity and oxide layer thickness was performed using scanning electron microscopy. The purity of the anodic layer formed was characterized using X-ray diffraction techniques with a vertical goniometer X-ray diffractometer. The electrochemical behavior is presented through potentiodynamic polarization curves for the anodic layer. A general factorial design and an analysis of variance (ANOVA) were conducted to establish the significant factors for layer thickness, grain size, and reaction rate. Finally, the best results and their parameters for each response are presented.
An Integrated Software-Defined Networking–Network Function Virtualization Architecture for 5G RAN–Multi-Access Edge Computing Slice Management in the Internet of Industrial Things
Authors: Chiti Francesco , Morosi Simone , Bartoli Claudio
Published: September 2024

The Internet of Things (IoT), namely, the set of intelligent devices equipped with sensors and actuators and capable of connecting to the Internet, has now become an integral part of the most competitive industries, as it enables optimization of production processes and reduction in operating costs and maintenance time, together with improving the quality of products and services. More specifically, the term Industrial Internet of Things (IIoT) identifies the system which consists of advanced Internet-connected equipment and analytics platforms specialized for industrial activities, where IIoT devices range from small environmental sensors to complex industrial robots. This paper presents an integrated high-level SDN-NFV architecture enabling clusters of smart devices to interconnect and manage the exchange of data with distributed control processes and databases. In particular, it is focused on 5G RAN-MEC slice management in the IIoT context. The proposed system is emulated by means of two distinct real-time frameworks, demonstrating improvements in connectivity, energy efficiency, end-to-end latency and throughput. In addition, its scalability, modularity and flexibility are assessed, making this framework suitable to test advanced and more applications.
Medicalized Aesthetic Uses of Exosomes and Cell Culture-Conditioned Media: Opening an Advanced Care Era for Biologically Inspired Cutaneous Prejuvenation and Rejuvenation
Authors: Rodriguez Clara , Porcello Alexandre , Chemali Michèle , Raffoul Wassim , Marques Cíntia , Scaletta Corinne , Lourenço Kelly , Abdel-Sayed Philippe , Applegate Lee Ann , Pelissier Vatter Fanny , Laurent Alexis
Published: September 2024

Recent advancements in aesthetic medicine offer innovative cosmetic solutions to enhance patient skin quality and appearance. Advanced treatment options enable practitioners to effectively address skin aging signs, pigmentation imbalance, and loss of elasticity in ambulatory and home-based care regimens. Exosomes (nanoscale cell-derived vesicles) transport a variety of biomolecules and are pivotal in physiological intercellular communication. Importantly, exosomes have recently emerged as key endogenous players in tissular regeneration. More broadly (from an active ingredient purity standpoint), exosomes, stem cell secretomes, and cell culture-conditioned media have been clinically proven to exert multifaceted beneficial topical effects (anti-inflammatory, antioxidant, anti-aging, skin rejuvenation). Therefore, human, animal, and plant-derived exosomes or other refined sub-cellular biological fractions are gaining substantial interest within the aesthetic and cosmetic industries. Notably, such approaches are thought to be among the most promising novel contenders for advanced, biologically inspired skin prejuvenation and rejuvenation care. The present narrative review summarizes the latest clinically oriented research on exosomes and cell culture-conditioned media, highlighting their mechanisms of action in various topical applications. Furthermore, it explores the innovation landscape and currently commercially available products on the global cosmetic market and discusses the potential future applications of advanced, biologically inspired ingredients in the medical aesthetic industry.
Revealing the Potential of Chios Mastic Gum and Its Constituents for Cosmetic Applications through Chemical Profiling and Biological Evaluation
Authors: Stamou Panagiota , Mikropoulou Eleni V. , Chalkiadaki Maria , Basdeki Aikaterini , Antoniadi Lemonia , Poigny Stéphane , Halabalaki Maria
Published: September 2024

Chios mastic gum (CMG), the resin of Pistacia lentiscus var. Chia, is a product with great ethnopharmacological and economic significance. This study attempts to investigate, for the first time, the activity of CMG, its fractions and isolated compounds against specific enzymes, which play pivotal roles in the degradation of proteins contained in skin connective tissue. Initially, crude CMG was subjected to extraction, fractionation and isolation through different chromatographic techniques to obtain the acidic and neutral fraction of terpenes. Additionally, the characteristic and major active triterpene acids of CMG, masticadienonic and isomasticadienonic acids (MNA, IMNA) were isolated in pure form. All samples were analysed by means of High-Performance Thin-Layer Chromatography (HPTLC) with four distinct development systems to obtain their constituents’ profile. Finally, samples were tested for their ability to inhibit the elastase and collagenase enzymes. According to our findings, for collagenase, a mixture of MNA and IMNA demonstrated the most potent activity with an IC50 value of 31.07 μg/mL, while for elastase CMG’s acidic fraction provided the most promising results with an IC50 value of 17.30 μg/mL. Overall, these results attempt to fill the gap in scientific knowledge about the use of CMG and its constituents in skincare and cosmetic products.
Modeling Realistic Geometries in Human Intrathoracic Airways
Authors: Pennati Francesca , Aliboni Lorenzo , Aliverti Andrea
Published: September 2024

Geometrical models of the airways offer a comprehensive perspective on the complex interplay between lung structure and function. Originating from mathematical frameworks, these models have evolved to include detailed lung imagery, a crucial enhancement that aids in the early detection of morphological changes in the airways, which are often the first indicators of diseases. The accurate representation of airway geometry is crucial in research areas such as biomechanical modeling, acoustics, and particle deposition prediction. This review chronicles the evolution of these models, from their inception in the 1960s based on ideal mathematical constructs, to the introduction of advanced imaging techniques like computerized tomography (CT) and, to a lesser degree, magnetic resonance imaging (MRI). The advent of these techniques, coupled with the surge in data processing capabilities, has revolutionized the anatomical modeling of the bronchial tree. The limitations and challenges in both mathematical and image-based modeling are discussed, along with their applications. The foundation of image-based modeling is discussed, and recent segmentation strategies from CT and MRI scans and their clinical implications are also examined. By providing a chronological review of these models, this work offers insights into the evolution and potential future of airway geometry modeling, setting the stage for advancements in diagnosing and treating lung diseases. This review offers a novel perspective by highlighting how advancements in imaging techniques and data processing capabilities have significantly enhanced the accuracy and applicability of airway geometry models in both clinical and research settings. These advancements provide unique opportunities for developing patient-specific models.
Using Resuscitative Endovascular Balloon Occlusion of the Aorta (REBOA) as a Rescue Strategy in Severe Postpartum Hemorrhage: A Case Report
Authors: Brauer Sophie-Kristin , Musy Alexandre Athanasios , Schneider Sophie , Trottmann Fabienne Nicole , Kaderli Nina , Vetter Christian , Surbek Daniel , Schindewolf Marc , Gerber Anna Lea , Stotz Manuela , Hautz Wolf , Zdanowicz Jarmila A.
Published: September 2024

Postpartum hemorrhage (PPH) is a leading cause of maternal morbidity and mortality. Routine treatment of PPH includes uterotonics, tranexamic acid, curettage, uterine (balloon) tamponade, compression sutures, uterine artery ligation, and, if available, transcatheter arterial embolization (TAE). In cases of severe PPH refractory to standard medical and surgical management, hysterectomy is usually the ultima ratio, and is equally associated with a higher rate of complications. In addition, this sudden loss of fertility, especially in young women, can be devastating. Here, we report a case of a 29-year-old woman who suffered from severe PPH with a blood loss > 1500 mL and hemodynamic instability after delivery of her first baby at a smaller hospital. She was consequently successfully treated with resuscitative endovascular balloon occlusion of the aorta (REBOA) by first placing a balloon catheter into the infra-renal aorta and subsequent TAE after failure of all other available treatment options prior to hysterectomy. TAE has been suggested in PPH treatment to avoid hysterectomies and thus to preserve patients’ reproductive function. If hemodynamic stabilization cannot be achieved with mass transfusion, REBOA seems to be an effective rescue strategy with which to achieve hemodynamic stabilization and gain additional time for embolization. Although REBOA is already recommended in several PPH guidelines, this approach seems relatively unknown in German-speaking countries.
Integrated Assessment of OCT, Multimodal Imaging, and Cytokine Markers for Predicting Treatment Responses in Retinal Vein Occlusion Associated Macular Edema: A Comparative Review of Anti-VEGF and Steroid Therapies
Authors: Munk Marion R. , Ceklic Lala , Stillenmunkes Richard , Chaudhary Varun , Waheed Nadia , Chhablani Jay , de Smet Marc D. , Tillmann Anne
Published: September 2024

Retinal vein occlusion (RVO) is a significant cause of vision loss, characterized by the occlusion of retinal veins, leading to conditions such as central retinal vein occlusion (CRVO) and branch retinal vein occlusion (BRVO). Macular edema (ME), a prevalent consequence of RVO, is the primary cause of vision impairment in affected patients. Anti-VEGF agents have become the standard treatment, showing efficacy in improving visual acuity (VA) and reducing ME. However, a subset of patients exhibit a suboptimal response to anti-VEGF therapy, necessitating alternative treatments. Corticosteroids, which address inflammatory pathways implicated in ME, have shown promise, particularly in cases resistant to anti-VEGF. This review aims to identify biomarkers that predict treatment response to corticosteroids in RVO-associated ME, utilizing multimodal imaging and cytokine assessments. Baseline imaging, including SD-OCT and OCT-A, is essential for evaluating biomarkers like hyperreflective foci (HRF), serous retinal detachment (SRF), and central retinal thickness (CRT). Elevated cytokine levels, such as IL-6 and MCP-1, correlate with ME severity and poor anti-VEGF response. Early identification of these biomarkers can guide timely transitions to corticosteroid therapy, potentially enhancing treatment outcomes. The practical conclusion of this review is that integrating biomarker assessment into clinical practice enables personalized treatment decisions, allowing for earlier and more effective management of RVO-associated ME by transitioning patients to corticosteroid therapy when anti-VEGF agents are insufficient. Advanced diagnostics and machine learning may further refine personalized treatment strategies, improving the management of RVO-associated ME.
Characterizing Mechanical Changes in the Biceps Brachii Muscle in Mild Facioscapulohumeral Muscular Dystrophy Using Shear Wave Elastography
Authors: Kleiser Benedict , Zimmer Manuela , Ateş Filiz , Marquetand Justus
Published: September 2024

There is no general consensus on evaluating disease progression in facioscapulohumeral muscular dystrophy (FSHD). Recently, shear wave elastography (SWE) has been proposed as a noninvasive diagnostic tool to assess muscle stiffness in vivo. Therefore, this study aimed to characterize biceps brachii (BB) muscle mechanics in mild-FSHD patients using SWE. Eight patients with mild FSHD, the BB were assessed using SWE, surface electromyography (sEMG), elbow moment measurements during rest, maximum voluntary contraction (MVC), and isometric ramp contractions at 25%, 50%, and 75% MVC across five elbow positions (60°, 90°, 120°, 150°, and 180° flexion). The mean absolute percentage deviation (MAPD) was analyzed as a measure of force control during ramp contractions. The shear elastic modulus of the BB in FSHD patients increased from flexed to extended elbow positions (e.g., p < 0.001 at 25% MVC) and with increasing contraction intensity (e.g., p < 0.001 at 60°). MAPD was highly variable, indicating significant deviation from target values during ramp contractions. SWE in mild FSHD is influenced by contraction level and joint angle, similar to findings of previous studies in healthy subjects. Moreover, altered force control could relate to the subjective muscle weakness reported by patients with dystrophies.
Kinetics of the Lactate to Albumin Ratio in New Onset Sepsis: Prognostic Implications
Authors: Karampela Irene , Kounatidis Dimitris , Vallianou Natalia G. , Panagopoulos Fotis , Tsilingiris Dimitrios , Dalamaga Maria
Published: September 2024

The lactate to albumin ratio (LAR) has been associated with the severity and outcome of critical illness and sepsis. However, there are no studies on the kinetics of the LAR during the early phase of sepsis. Therefore, we aimed to investigate the LAR and its kinetics in critically ill patients with new onset sepsis regarding the severity and outcome of sepsis. We prospectively enrolled 102 patients with sepsis or septic shock within 48 h from diagnosis. LARs were recorded at inclusion in the study and one week later. Patients were followed for 28 days. LAR was significantly lower one week after enrollment compared to baseline in all patients (p < 0.001). LARs were significantly higher in patients with septic shock and in nonsurvivors compared to patients with sepsis and survivors, respectively, both at inclusion (p < 0.001, p < 0.001) and at one week later (p < 0.001, p < 0.001). LARs at baseline were positively associated with the severity of sepsis (APACHE II: r = 0.29, p = 0.003; SOFA: r = 0.33, p < 0.001) and inflammatory biomarkers, such as C-reactive protein (r = 0.29, p < 0.1), procalcitonin (r = 0.47, p < 0.001), interleukin 6 (r = 0.28, p = 0.005) interleukin 10 (r = 0.3, p = 0.002) and suPAR (r = 0.28, p = 0.004). In addition, a higher LAR, but not its kinetics, was an independent predictor of 28-day mortality (at inclusion: HR 2.27, 95% C.I. 1.01–5.09, p = 0.04; one week later: HR: 4.29, 95% C.I. 1.71–10.78, p = 0.002). In conclusion, the LAR may be a valuable prognostic indicator in critically ill patients with sepsis at admission and one week later.
Laboratory Evaluation of Interferences Associated with Factor XIa Inhibitors Asundexian and Milvexian in Routine Coagulation Assays
Authors: Buckley Gavin T. , Crowley Maeve P. , Harte James V.
Published: September 2024

Direct oral anticoagulants (DOACs) are increasingly used for the treatment of thrombosis. While inhibitors of factor IIa and factor Xa have shown effectiveness, the risk of bleeding remains a significant concern. Recently, direct factor XIa inhibitors—including asundexian and milvexian—have emerged as potential anticoagulation therapies, based on clinical observations that patients with factor XIa deficiencies seldom present with spontaneous bleeding tendencies. The interferences associated with DOACs in routine and specialised coagulation assays are well-described; however, the interferences associated with emerging FXIa inhibitors are largely uncharacterised. Here, we briefly report the impact of asundexian and milvexian in routine coagulation assays using in vitro plasma-based systems. Asundexian and milvexian induce concentration-dependent prolongations in APTT-based assays with curvilinear regressions, which may be suitable for the measurement of pharmacodynamic effects at peak levels ex vivo. We also report differential sensitivities of APTT-based assays—particularly at higher FXIa inhibitor concentrations—highlighting the clinical need for an extensive evaluation of interferences associated with FXIa inhibitors in coagulation assays.
Artificial Intelligence-Based Screening System for Diabetic Retinopathy in Primary Care
Authors: Baget-Bernaldiz Marc , Fontoba-Poveda Benilde , Romero-Aroca Pedro , Navarro-Gil Raul , Hernando-Comerma Adriana , Bautista-Perez Angel , Llagostera-Serra Monica , Morente-Lorenzo Cristian , Vizcarro Montse , Mira-Puerto Alejandra
Published: September 2024

Background: This study aimed to test an artificial intelligence-based reading system (AIRS) capable of reading retinographies of type 2 diabetic (T2DM) patients and a predictive algorithm (DRPA) that predicts the risk of each patient with T2DM of developing diabetic retinopathy (DR). Methods: We tested the ability of the AIRS to read and classify 15,297 retinal photographs from our database of diabetics and 1200 retinal images taken with Messidor-2 into the different DR categories. We tested the DRPA in a sample of 40,129 T2DM patients. The results obtained by the AIRS and the DRPA were then compared with those provided by four retina specialists regarding sensitivity (S), specificity (SP), positive predictive value (PPV), negative predictive value (NPV), accuracy (ACC), and area under the curve (AUC). Results: The results of testing the AIRS for identifying referral DR (RDR) in our database were ACC = 98.6, S = 96.7, SP = 99.8, PPV = 99.0, NPV = 98.0, and AUC = 0.958, and in Messidor-2 were ACC = 96.78%, S = 94.64%, SP = 99.14%, PPV = 90.54%, NPV = 99.53%, and AUC = 0.918. The results of our DRPA when predicting the presence of any type of DR were ACC = 0.97, S = 0.89, SP = 0.98, PPV = 0.79, NPV = 0.98, and AUC = 0.92. Conclusions: The AIRS performed well when reading and classifying the retinographies of T2DM patients with RDR. The DRPA performed well in predicting the absence of DR based on some clinical variables.
A 3D Bio-Printed-Based Model for Pancreatic Ductal Adenocarcinoma
Authors: Godier Claire , Baka Zakaria , Lamy Laureline , Gribova Varvara , Marchal Philippe , Lavalle Philippe , Gaffet Eric , Bezdetnaya Lina , Alem Halima
Published: September 2024

Pancreatic ductal adenocarcinoma (PDAC) is a disease with a very poor prognosis, characterized by incidence rates very close to death rates. Despite the efforts of the scientific community, preclinical models that faithfully recreate the PDAC tumor microenvironment remain limited. Currently, the use of 3D bio-printing is an emerging and promising method for the development of cancer tumor models with reproducible heterogeneity and a precisely controlled structure. This study presents the development of a model using the extrusion 3D bio-printing technique. Initially, a model combining pancreatic cancer cells (Panc-1) and cancer-associated fibroblasts (CAFs) encapsulated in a sodium alginate and gelatin-based hydrogel to mimic the metastatic stage of PDAC was developed and comprehensively characterized. Subsequently, efforts were made to vascularize this model. This study demonstrates that the resulting tumors can maintain viability and proliferate, with cells self-organizing into aggregates with a heterogeneous composition. The utilization of 3D bio-printing in creating this tumor model opens avenues for reproducing tumor complexity in the future, offering a versatile platform for improving anti-cancer therapy models.
Evaluation of the Use of Cell Lines in Studies of Selenium-Dependent Glutathione Peroxidase 2 (GPX2) Involvement in Colorectal Cancer
Authors: Esworthy R. Steven
Published: September 2024

Hydroperoxides (ROOHs) are known as damaging agents capable of mediating mutation, while a role as signaling agents through oxidation of protein sulfhydryls that can alter cancer-related pathways has gained traction. Glutathione peroxidase 2 (GPX2) is an antioxidant enzyme that reduces ROOHs at the expense of glutathione (GSH). GPX2 is noted for a tendency of large increases or decreases in expression levels during tumorigenesis that leads to investigators focusing on its role in cancer. However, GPX2 is only one component of multiple enzyme families that metabolize ROOH, and GPX2 levels are often very low in the context of these other ROOH-reducing activities. Colorectal cancer (CRC) was selected as a case study for examining GPX2 function, as colorectal tissues and cancers are sites where GPX2 is highly expressed. A case can be made for a significant impact of changes in expression levels. There is also a link between GPX2 and NADPH oxidase 1 (NOX1) from earlier studies that is seldom addressed and is discussed, presenting data on a unique association in colon and CRC. Tumor-derived cell lines are quite commonly used for pre-clinical studies involving the role of GPX2 in CRC. Generally, selection for this type of work is limited to identifying cell lines based on high and low GPX2 expression with the standard research scheme of overexpression in low-expressing lines and suppression in high-expressing lines to identify impacted pathways. This overlooks CRC subtypes among cell lines involving a wide range of gene expression profiles and a variety of driver mutation differences, along with a large difference in GPX2 expression levels. A trend for low and high GPX2 expressing cell lines to segregate into different CRC subclasses, indicated in this report, suggests that choices based solely on GPX2 levels may provide misleading and conflicting results by disregarding other properties of cell lines and failing to factor in differences in potential protein targets of ROOHs. CRC and cell line classification schemes are presented here that were intended to assist workers in performing pre-clinical studies but are largely unnoted in studies on GPX2 and CRC. Studies are often initiated on the premise that the transition from normal to CRC is associated with upregulation of GPX2. This is probably correct. However, the source normal cells for CRC could be almost any colon cell type, some with very high GPX2 levels. These factors are addressed in this study.
Fluid Dynamics of Interacting Rotor Wake with a Water Surface
Authors: Bai Xing-Zhi , Zhang Zhe , Wu Wen-Hua , Wang Xiao , Zhan Qi , Zhang Dai-Xian , Yu Lei
Published: September 2024

Rotor-type cross-media vehicles always induce considerably complex mixed air–water flows when approaching the water surface, resulting in relative thrust loss and structural damage on rotor. The interactions between a water surface and rotor wake bring potential risks to the cross-media process, which is known as the near-water effect of the rotor. In this paper, experimental investigations are used to explore the fluid dynamics of the near-water effect of the rotor. Qualitative droplet observation was carried out on the 0.25 m and 0.56 m diameter commercial rotor blades and the 0.07 m diameter ducted fan near the water surface first to gain a qualitative understanding of droplet characteristics. The results show that the rotor wake caused water surface deformation, droplet tearing off, splashing, and entrainment into the rotor disk. The depression formed by the rotor downwash flow impacting the water surface is named as three modes: dimpling, splashing, and penetrating, and the correlation between the depression modes and the aerodynamic characteristics of the rotor is primary analyzed. The flow mechanisms of dimpling mode were studied using the particle image velocimetry (PIV) technique. The results showed that the cavity and liquid crown obviously alter the flow direction of water surface jets, but not all rotors near water enter the vortex ring state. Two splashing mechanisms were revealed, including the direct ejection of droplets at the rim of depression and the tearing of liquid crown by the water surface jets. The blade tip vortex in the surface jet is a potential cause of entrainment into the rotor disk and secondary breakup of the droplet.
Generating 3D Models for UAV-Based Detection of Riparian PET Plastic Bottle Waste: Integrating Local Social Media and InstantMesh
Authors: Pan Shijun , Yoshida Keisuke , Shimoe Daichi , Kojima Takashi , Nishiyama Satoshi
Published: September 2024

In recent years, waste pollution has become a severe threat to riparian environments worldwide. Along with the advancement of deep learning (DL) algorithms (i.e., object detection models), related techniques have become useful for practical applications. This work attempts to develop a data generation approach to generate datasets for small target recognition, especially for recognition in remote sensing images. A relevant point is that similarity between data used for model training and data used for testing is crucially important for object detection model performance. Therefore, obtaining training data with high similarity to the monitored objects is a key objective of this study. Currently, Artificial Intelligence Generated Content (AIGC), such as single target objects generated by Luma AI, is a promising data source for DL-based object detection models. However, most of the training data supporting the generated results are not from Japan. Consequently, the generated data are less similar to monitored objects in Japan, having, for example, different label colors, shapes, and designs. For this study, the authors developed a data generation approach by combining social media (Clean-Up Okayama) and single-image-based 3D model generation algorithms (e.g., InstantMesh) to provide a reliable reference for future generations of localized data. The trained YOLOv8 model in this research, obtained from the S2PS (Similar to Practical Situation) AIGC dataset, produced encouraging results (high F1 scores, approximately 0.9) in scenario-controlled UAV-based riparian PET bottle waste identification tasks. The results of this study show the potential of AIGC to supplement or replace real-world data collection and reduce the on-site work load.
Comprehensive Task Optimization Architecture for Urban UAV-Based Intelligent Transportation System
Authors: Rinaldi Marco , Primatesta Stefano
Published: September 2024

This paper tackles the problem of resource sharing and dynamic task assignment in a task scheduling architecture designed to enable a persistent, safe, and energy-efficient Intelligent Transportation System (ITS) based on multi-rotor Unmanned Aerial Vehicles (UAVs). The addressed task allocation problem consists of heterogenous pick-up and delivery tasks with time deadline constraints to be allocated to a heterogenous fleet of UAVs in an urban operational area. The proposed architecture is distributed among the UAVs and inspired by market-based allocation algorithms. By exploiting a multi-auctioneer behavior for allocating both delivery tasks and re-charge tasks, the fleet of UAVs is able to (i) self-balance the utilization of each drone, (ii) assign dynamic tasks with high priority within each round of the allocation process, (iii) minimize the estimated energy consumption related to the completion of the task set, and (iv) minimize the impact of re-charge tasks on the delivery process. A risk-aware path planner sampling a 2D risk map of the operational area is included in the allocation architecture to demonstrate the feasibility of deployment in urban environments. Thanks to the message exchange redundancy, the proposed multi-auctioneer architecture features improved robustness with respect to lossy communication scenarios. Simulation results based on Monte Carlo campaigns corroborate the validity of the approach.
Investigation of a Tube-Launched Unmanned Aerial Vehicle with a Variable-Sweep Wing
Authors: Si Peng , Wu Mingjian , Huo Yongqing , Wu Zhilin
Published: September 2024

Foldable wings are designed for tube-launched unmanned aerial vehicles (UAVs), aiming to improve portability and meet launch platform requirements. However, conventional tube-launched UAVs cannot operate across the wide speed ranges required for the performance of multiple missions, due to the fixed configuration of their wings after launch. This study therefore proposes a tube-launched UAV which can change wing-sweep angle to expand the flight speed range and enhance the UAV’s agility. A computational aerodynamics method is employed to assess the transient aerodynamic performance of the UAV during the sweep morphing process. The simulation results indicate that the transient aerodynamic forces generate a dynamic hysteresis loop around the quasi-steady data. The lift and drag coefficients exhibit maximum relative deviations of 18.5% and 12.7% from the quasi-steady data for the sweep morphing period of 0.5 s. The hysteresis effect of the flow structure, rather than the additional velocity resulting from wing-sweep morphing, is the major contributor to the aerodynamic hysteresis loop. Compared to the conventional tube-launched UAVs, the proposed tube-launched UAV with a variable-sweep wing shows a wider flight speed range, from 22.59 to 90.12 m/s, and achieves an 82.84% increase in loitering speed. To verify the effectiveness of the wing-sweeping concept, a prototype was developed, and a flight test was carried out. The test data obtained from flight control system agree well with the simulation data, which demonstrates the feasibility and effectiveness of the variable-sweep wing in widening the speed range for tube-launched UAVs. This work can provide a reference for the design of tube-launched UAVs for wide speed range flight.
University Students’ Attitudes toward Artificial Intelligence: An Exploratory Study of the Cognitive, Emotional, and Behavioural Dimensions of AI Attitudes
Authors: Katsantonis Argyrios , Katsantonis Ioannis G.
Published: September 2024

Artificial intelligence (AI) drives new modes of learning and improves the workflow of instructors. Nevertheless, there are concerns about academic integrity, plagiarism, and the reduction of critical thinking in higher education. Therefore, it is important to record and analyze university social sciences students’ attitudes toward AI, which is a significant predictor of later use of AI technologies. A sample of 190 university students (82.45% female) from a Greek social sciences department was selected. Descriptive statistics revealed that students’ attitudes toward AI were mostly positive. A principal components analysis confirmed a three-component solution of attitudes toward AI, comprising cognitive, behavioral, and emotional dimensions. Comparative analysis of the three components indicated that the emotional dimension was the highest ranked, followed by the cognitive and behavioral dimensions. Pairwise correlation analyses revealed that the strongest correlate of cognitive, behavioral, and emotional components of attitudes toward AI was the future frequency of AI use, followed by general feelings of safety with technology. In conclusion, students display more emotional and cognitive favorable dispositions toward AI. The social background of the students and the prospective future use of AI play a key role in the formulation of attitudes toward AI. University educators need to provide more teaching and learning about AI to improve students’ attitudes toward AI and future AI use.