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12 pages, 1160 KB  
Article
The Prognostic Role of Different Blood Cell Count-to-Lymphocyte Ratios in Patients with Lung Cancer at Diagnosis
by Ourania Papaioannou, Oraianthi Fiste, Eva Theohari, Fotios Sampsonas, Foteinos-Ioannis Dimitrakopoulos, Angelos Koutras, Ioannis Gkiozos, Ioannis Vathiotis, Elias Kotteas and Argyrios Tzouvelekis
Cancers 2025, 17(23), 3879; https://doi.org/10.3390/cancers17233879 - 4 Dec 2025
Viewed by 469
Abstract
Background: Lung cancer (LC) is a complex-to-treat disease and remains the leading cause of cancer-related mortality. Methods: Our aim was to investigate the prognostic role of neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and monocyte to lymphocyte ratio [...] Read more.
Background: Lung cancer (LC) is a complex-to-treat disease and remains the leading cause of cancer-related mortality. Methods: Our aim was to investigate the prognostic role of neutrophil to lymphocyte ratio (NLR), platelet to lymphocyte ratio (PLR), and monocyte to lymphocyte ratio (MLR) in patients with LC. In this retrospective study, examining the period between 1 June 2020 and 31 May 2024, we recorded consecutive patients who presented to the Department of Respiratory Medicine, University Hospital of Patras, Patras, Greece, and received a first diagnosis of LC. The primary outcome was mortality risk analysis based on NLR, PLR, and MLR at diagnosis. Secondary outcomes included associations of tumor, node, metastasis (TNM) staging, and smoking with NLR, PLR, and MLR at diagnosis. Results: We identified 353 patients with a first diagnosis of LC. The mean age ± SD at the time of diagnosis was 68.1 ± 9.1 years. Most patients were male (77.9%, n = 275) and current or ex-smokers (58.1%, n = 205, and 39.1%, n = 138, respectively). Histological diagnosis was non-small-cell lung cancer (NSCLC), small-cell lung cancer (SCLC), and not otherwise specified (NOS) in 67.1% (n = 237), 29.8% (n = 105), and 3.1% (n = 11) of patients, respectively. Adenocarcinoma NSCLC was more common (40.2%, n = 142) compared to squamous NSCLC (25.5%, n = 90). In 12.9% of patients, we identified EGFR, KRAS, ALK, or BRAF molecular driver mutations, while PD-L1 expression was positive in 20.7% of patients. The majority of enrolled patients presented with advanced stage IV LC at diagnosis (63.2%, n = 223). Kaplan–Meier curves showed that patients with higher than the median NLR and PLR at diagnosis were associated with significantly higher mortality risk compared to those with lower than the median [HR: 0.58, (95% CI: 0.42 to 0.81) p = 0.0009 and HR: 0.71, (95% CI: 0.53 to 0.95) p = 0.02, respectively], while no differences in mortality risk were observed between patients with higher versus lower than the median MLR [HR: 0.84, (95% CI: 0.63 to 1.12) p = 0.22]. With regard to secondary outcomes, no associations between higher versus lower than the median NLR, PLR, or MLR values and TNM staging [4.0 (95% CI: 4.0–4.0) vs. 4.0 (95% CI: 4.0–4.0), p = 0.95, 4.0 (95% CI: 4.0–4.0) vs. 4.0 (95% CI: 4.0–4.0), p = 0.09, 4.0 (95% CI: 4.0–4.0) vs. 4.0 (95% CI: 4.0–4.0), p = 0.4, respectively], as well as smoking status [70 (95% CI: 60–80) vs. 80 (95% CI: 60–80), p = 0.10, 70 (95% CI: 60–80) vs. 80 (95% CI: 60–80), p = 0.46, 80 (95% CI: 60–80) vs. 70 (95% CI: 60–80), p = 0.96, respectively] were reported. Conclusions: NLR and PLR could serve as reliable and clinician-friendly prognosticators of clinical outcomes in patients with LC. Further validation cohorts are sorely needed to prove this notion. Full article
(This article belongs to the Special Issue The Role of Neutrophils in Tumor Progression and Metastasis)
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24 pages, 12935 KB  
Article
Geohazard Susceptibility Assessment in Karst Terrain: A Novel Coupling Model Integrating Information Value and XGBoost Machine Learning in Guizhou Province, China
by Jiao Chen, Fufei Wu and Hongyin Hu
Appl. Sci. 2025, 15(18), 10077; https://doi.org/10.3390/app151810077 - 15 Sep 2025
Viewed by 803
Abstract
In this study, the geological disasters in Guizhou Province serve as the research object, and a systematic susceptibility evaluation is conducted in light of the province’s prominent problems with frequent geological disasters. The current research primarily focuses on the application of a single [...] Read more.
In this study, the geological disasters in Guizhou Province serve as the research object, and a systematic susceptibility evaluation is conducted in light of the province’s prominent problems with frequent geological disasters. The current research primarily focuses on the application of a single model, often with deficiencies in factor interpretation. It has not yet systematically integrated the advantages of the traditional information model and multiple machine learning algorithms, nor introduced interpretable methods to analyze the disaster mechanism deeply. In this study, the information value (IV) model is combined with machine learning algorithms—logistic regression (LR), decision tree (DT), support vector machine (SVM), random forest (RF), and extreme gradient boosting (XGBoost)—to construct a coupling model to evaluate the susceptibility to geological disasters. Combined with the Bayesian optimization algorithm, the geological disaster susceptibility evaluation model is built. The confusion matrix and receiver operating characteristic (ROC) curve were used to evaluate the model’s accuracy. The Shapley Additive exPlanations (SHAP) method is used to quantify the contribution of each influencing factor, thereby improving the transparency and credibility of the model. The results show that the coupling models, especially the IV-XGB model, achieved the best performance (AUC = 0.9448), which significantly identifies the northern Wujiang River Basin and the central karst core area as high-risk areas and clarifies the disaster-causing mechanism of “terrain–hydrology–human activities” coupling. The SHAP method further identified that NDVI, land use type, and elevation were the predominant controlling factors. This study presents a high-precision and interpretable modeling method for assessing susceptibility to geological disasters, providing a scientific basis for disaster prevention and control in Guizhou Province and similar geological conditions. Full article
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9 pages, 2115 KB  
Communication
Charge Carrier Transport and Localized States in Graphite-like Amorphous Carbon Films at Room Temperatures
by Vyacheslav A. Moshnikov, Ekaterina N. Muratova, Igor A. Vrublevsky, Alexandr I. Maximov, Viktor B. Bessonov, Stepan E. Parfenovich, Alexandr K. Tuchkovsky and Dmitry A. Kozodaev
Materials 2025, 18(17), 3977; https://doi.org/10.3390/ma18173977 - 25 Aug 2025
Viewed by 737
Abstract
The conductivity of direct and alternating current for graphite-like amorphous carbon films after annealing in vacuum at a temperature of 700 °C was studied. The I–V characteristics of such films are symmetrical. The I–V curve in logarithmic coordinates demonstrated the presence of two [...] Read more.
The conductivity of direct and alternating current for graphite-like amorphous carbon films after annealing in vacuum at a temperature of 700 °C was studied. The I–V characteristics of such films are symmetrical. The I–V curve in logarithmic coordinates demonstrated the presence of two linear sections. A study of the frequency dependences of structures with a thin graphite-like amorphous carbon film showed a sharp increase in capacitance at low frequencies and a decrease in the high-frequency region. The increase in capacitance in the low-frequency region is explained by the Maxwell–Wagner polarization, which is observed in inhomogeneous dielectrics with conducting inclusions. The results of temperature measurements of resistance showed that at room temperatures, there is a mechanism of conduction of electrons with a variable jump length along localized states lying in a narrow energy band near the Fermi level. At the same time, with an increase in the injection current, an additional mechanism of hopping electrical transport with a variable jump length along localized states in the tail of the valence band arises, which leads to an increase in the conductivity of the films. Full article
(This article belongs to the Section Advanced Nanomaterials and Nanotechnology)
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11 pages, 2924 KB  
Article
Liquid Resistive Switching Devices with Printable Electrodes
by Viet Cuong Nguyen
Micromachines 2025, 16(8), 863; https://doi.org/10.3390/mi16080863 - 26 Jul 2025
Viewed by 751
Abstract
In this work, research on liquid-based resistive switching devices is carried out, using bottom printable electrodes fabricated from Silver (Ag) paste and silver nitrate (AgNO3) solution. The self-crossing I-V curves are observed and repeatedly shown by applying 100 sweep cycles, demonstrating [...] Read more.
In this work, research on liquid-based resistive switching devices is carried out, using bottom printable electrodes fabricated from Silver (Ag) paste and silver nitrate (AgNO3) solution. The self-crossing I-V curves are observed and repeatedly shown by applying 100 sweep cycles, demonstrating repeatability and stability. This liquid device can be refreshed by adding extra droplets of AgNO3 so that self-crossing I-V hysteresis with up to 493 dual sweeps can be obtained. The ability to be refreshed by supplying a new liquid solution demonstrates an advantage of liquid-based memristive devices, in comparison to their solid counterparts, where the switching layer is fixed after fabrication. The switching mechanism is attributed to Ag migration in the liquid, which narrows the gap between electrodes, giving rise to the observed phenomenon. The devices further show some synaptic properties including excitatory post-synaptic current (EPSC) and potentiation-depression, presenting opportunities to utilize the devices in mimicking some functions of biological neurons. The simplicity and cost-effectiveness of these devices may advance research into fluidic memristors, in which devices with versatile forms and shapes could be fabricated. Full article
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13 pages, 4454 KB  
Article
Proton Irradiation and Thermal Restoration of SiPMs for LEO Missions
by Alexis Luszczak, Lucas Finazzi, Leandro Gagliardi, Milagros Moreno, Maria L. Ibarra, Federico Golmar and Gabriel A. Sanca
Instruments 2025, 9(3), 15; https://doi.org/10.3390/instruments9030015 - 26 Jun 2025
Cited by 2 | Viewed by 1170
Abstract
Silicon Photomultipliers (SiPMs) are optical sensors widely used in space applications due to their high photon detection efficiency, low power consumption, and robustness. However, in Low Earth Orbit (LEO), their performance degrades over time due to prolonged exposure to ionizing radiation, primarily from [...] Read more.
Silicon Photomultipliers (SiPMs) are optical sensors widely used in space applications due to their high photon detection efficiency, low power consumption, and robustness. However, in Low Earth Orbit (LEO), their performance degrades over time due to prolonged exposure to ionizing radiation, primarily from trapped protons and electrons. The dominant radiation-induced effect in SiPMs is an increase in dark current, which can compromise detector sensitivity. This study investigates the potential of thermal annealing as a mitigation strategy for radiation damage in SiPMs. We designed and tested PCB-integrated heaters to selectively heat irradiated SiPMs and induce recovery processes. A PID-controlled system was developed to stabilize the temperature at 100 °C, and a remotely controlled experimental setup was implemented to operate under irradiation conditions. Two SiPMs were simultaneously irradiated with 9 MeV protons at the EDRA facility, reaching a 1 MeV neutron equivalent cumulative fluence of (9.5 ± 0.2) × 108 cm−2. One sensor underwent thermal annealing between irradiation cycles, while the other served as a control. Throughout the experiment, dark current was continuously monitored using a source measure unit, and I–V curves were recorded before and after irradiation. A recovery of more than 39% was achieved after only 5 min of thermal cycling at 100 °C, supporting this recovery approach as a low-complexity strategy to mitigate radiation-induced damage in space-based SiPM applications and increase device lifetime in harsh environments. Full article
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13 pages, 1734 KB  
Article
Application of a Nomogram Model in Predicting Postoperative Delirium Following Percutaneous Coronary Intervention
by Yaxin Xiong, Ze Meng, Jiuyue Sun, Yucheng Qi, Kuo Wang, Ping Huang, Qiuyue Yang, Renliang Fan, Jiaman Guan, Mingyan Zhao and Xianglin Meng
Bioengineering 2025, 12(6), 637; https://doi.org/10.3390/bioengineering12060637 - 11 Jun 2025
Viewed by 1281
Abstract
Background: Postoperative delirium is associated with an increased number of different complications, such as prolonged hospital stay, long-term cognitive impairment, and increased mortality. Therefore, early prediction of delirium after percutaneous coronary intervention (PCI) is necessary, but currently, there is still a lack [...] Read more.
Background: Postoperative delirium is associated with an increased number of different complications, such as prolonged hospital stay, long-term cognitive impairment, and increased mortality. Therefore, early prediction of delirium after percutaneous coronary intervention (PCI) is necessary, but currently, there is still a lack of reliable and effective prediction models for such patients. Methods: All data used in this study were derived from the MIMIC-IV database. Multivariable Cox regression was employed to analyze the data, and the performance of the newly developed nomogram was evaluated based on the area under the receiver operating characteristic curve (AUC). The clinical value of the prediction model was tested using decision curve analysis (DCA). Results: A total of 313 PCI patients in the intensive care unit (ICU) were included in the analysis, comprising 219 in the training cohort and 94 in the testing cohort. Twenty variables were selected for model development. Multivariable Cox regression revealed that benzodiazepine use, vasoactive drug therapy, age, white blood cell count (WBC), and serum potassium were independent risk factors for predicting the occurrence of delirium after PCI. The AUC values for predicting delirium occurrence in the training and validation cohorts were 0.771 and 0.743, respectively. Conclusions: This study has identified several important demographic and laboratory parameters associated with the occurrence of delirium after PCI, and used them to establish a more accurate and convenient nomogram model to predict the occurrence of postoperative delirium in such patients. Full article
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17 pages, 3559 KB  
Article
The Effect of Impactor Geometry on the Damage Patterns Generated by Low-Velocity Impacts on Composite Pressure Vessels
by Shiva Rezaei Akbarieh, Dayou Ma, Claudio Sbarufatti and Andrea Manes
Modelling 2025, 6(2), 41; https://doi.org/10.3390/modelling6020041 - 28 May 2025
Viewed by 1387
Abstract
Due to environmental concerns and increasing energy needs, hydrogen is increasingly seen as a promising alternative to fossil fuels. Its advantages include minimal greenhouse gas emissions (depending on origin), high efficiency, and widespread availability. Various storage methods have been developed, with high-pressure storage [...] Read more.
Due to environmental concerns and increasing energy needs, hydrogen is increasingly seen as a promising alternative to fossil fuels. Its advantages include minimal greenhouse gas emissions (depending on origin), high efficiency, and widespread availability. Various storage methods have been developed, with high-pressure storage being currently among the most common due to its cost-effectiveness and simplicity. Composite high-pressure vessels are categorized as type III or IV, with type III using an aluminum alloy liner and type IV utilizing a polymer liner. This paper investigates damage mechanisms in filament wound carbon fiber composite pressure vessels subjected to low-velocity impacts, focusing on two types of impactors (with different geometries) with varying impact energies. The initial section features experimental trials that capture various failure modes (e.g., matrix damage, delamination, and fiber breakage) and how different impactor geometries influence the damage mechanisms of composite vessels. A numerical model was developed and validated with experimental data to support the experimental findings, ensuring accurate damage mechanism simulation. The research then analyzes how the shape and size of impactors influence damage patterns in the curved vessel, aiming to establish a relationship between impactor geometry features and damage, which is crucial for the design and applications of carbon fiber composites in such an engineering application. Full article
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14 pages, 3796 KB  
Article
Nanoarchitectonics and Theoretical Evaluation on Electronic Transport Mechanism of Spin-Filtering Devices Based on Bridging Molecules
by Haiyan Wang, Shuaiqi Liu, Chao Wu, Fang Xie, Zhiqiang Fan and Xiaobo Li
Nanomaterials 2025, 15(10), 759; https://doi.org/10.3390/nano15100759 - 18 May 2025
Cited by 2 | Viewed by 989
Abstract
By combining density functional theory with the non-equilibrium Green’s function method, we conducted a first-principles investigation of spin-dependent transport properties in a molecular device featuring a dynamic covalent chemical bridge connected to zigzag graphene nanoribbon electrodes. The effects of spin-filtering and spin-rectifying on [...] Read more.
By combining density functional theory with the non-equilibrium Green’s function method, we conducted a first-principles investigation of spin-dependent transport properties in a molecular device featuring a dynamic covalent chemical bridge connected to zigzag graphene nanoribbon electrodes. The effects of spin-filtering and spin-rectifying on the IV characteristics are revealed and explained for the proposed molecular device. Interestingly, our results demonstrate that all three devices exhibit significant single-spin-filtering behavior in parallel (P) magnetization and dual-spin-filtering effects in antiparallel (AP) configurations, achieving nearly 100% spin-filtering efficiency. At the same time, from the IV curves, we find that there is a weak negative differential resistance effect. Moreover, a high rectifying ratio is found for spin-up electron transport in AP magnetization, which is explained by the transmission spectrum and local density of state. The fundamental mechanisms governing these phenomena have been elucidated through a systematic analysis of spin-resolved transmission spectra and spin-polarized electron transport pathways. These results extend the design principles of spin-controlled molecular electronics beyond graphene-based systems, offering a universal strategy for manipulating spin-polarized currents through dynamic covalent interfaces. The nearly ideal spin-filtering efficiency and tunable rectification suggest potential applications in energy-efficient spintronic logic gates and non-volatile memory devices, while the methodology provides a framework for optimizing spin-dependent transport in hybrid organic–inorganic nanoarchitectures. Our findings suggest that such systems are promising candidates for future spintronic applications. Full article
(This article belongs to the Special Issue The Interaction of Electron Phenomena on the Mesoscopic Scale)
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23 pages, 8054 KB  
Article
Electron Beam Irradiation’s Effect on Polyaniline/LiClO4/CuO Nanocomposite: A Study of Dielectric, Conductivity and Electrochemical Properties
by Yesappa Laxmayyaguddi, Sharanappa Chapi and Nagaraj Nandihalli
Appl. Sci. 2025, 15(7), 4001; https://doi.org/10.3390/app15074001 - 4 Apr 2025
Viewed by 1062
Abstract
A straightforward chemical polymerization process was used to create the polyaniline/LiClO4/CuO nanoparticle (PLC) nanocomposite, which was then exposed to varying doses of electron beam (EB) radiation and studied. The FESEM, XRD, FTIR, DSC, TG/DTA, and electrochemical measurements with higher EB doses [...] Read more.
A straightforward chemical polymerization process was used to create the polyaniline/LiClO4/CuO nanoparticle (PLC) nanocomposite, which was then exposed to varying doses of electron beam (EB) radiation and studied. The FESEM, XRD, FTIR, DSC, TG/DTA, and electrochemical measurements with higher EB doses showed clear changes. The FTIR spectra of the PLC nanocomposite showed variations in the C-N and carbonyl groups at 1341 cm−1 and 1621 cm−1, respectively. After a 120 kGy EB dose, the shape changed from a smooth, uneven surface to a well-connected, nanofiber-like structure, creating pathways for electricity to flow through the polymer matrix. The EB irradiation improved the thermal stability by decreasing the melting temperature, and the XRD and DSC studies reveal that the decrease in crystallinity is attributed to the dominant chain scission mechanism. The enhanced absorption and red shift in the wavelength (from 374 nm to 400 nm) observed in the UV-Visible spectroscopy were caused by electrons transitioning from a lower to a higher energy state, with a progressive drop in the band gaps (Eg) from 2.15 to 1.77 eV following irradiation. The dielectric parameters increased with the temperature and electron beam doses because of the dissociation of the ion aggregates and the emergence of defects and/or disorders in the polymer band gaps. This was triggered by chain scission, discontinuity, and bond breaking in the molecular chains at elevated levels of radiation energy, leading to an augmented charge carrier density and, subsequently, enhanced conductivity. The cyclic voltammetry study revealed an enhanced electrochemical stability at a high scan rate of about 600 mV/s for the PLC nanocomposite with the increase in the EB doses. The I-V characteristics measured at room temperature exhibited nonohmic behavior with an expanded current range, and the electrical conductivity was estimated, using the I-V curve, to be around 1.05 × 10−4 S/cm post 20 kGy EB irradiation. Full article
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26 pages, 7700 KB  
Article
Assessment of Structural Integrity Through On-Site Decision-Making Analysis for a Jacket-Type Offshore Platform
by Rodrigo Daniel Álvarez Bello Martínez, Juan Antonio Álvarez-Arellano and Youness El Hamzaoui
Appl. Sci. 2025, 15(7), 3418; https://doi.org/10.3390/app15073418 - 21 Mar 2025
Viewed by 3172
Abstract
This paper presents a comprehensive on-site decision-making framework for assessing the structural integrity of a jacket-type offshore platform in the Gulf of Mexico, installed at a water depth of 50 m. Six critical analyses—(i) static operation and storm, (ii) dynamic storm, (iii) strength-level [...] Read more.
This paper presents a comprehensive on-site decision-making framework for assessing the structural integrity of a jacket-type offshore platform in the Gulf of Mexico, installed at a water depth of 50 m. Six critical analyses—(i) static operation and storm, (ii) dynamic storm, (iii) strength-level seismic, (iv) seismic ductility (pushover), (v) maximum wave resistance (pushover), and (vi) spectral fatigue—are performed using SACS V16 software to capture both linear and nonlinear interactions among the soil, piles, and superstructure. The environmental conditions include multi-directional wind, waves, currents, and seismic loads. In the static linear analyses (i, ii, and iii), the overall results confirm that the unity checks (UCs) for structural members, tubular joints, and piles remain below allowable thresholds (UC < 1.0), thus meeting API RP 2A-WSD, AISC, IMCA, and Pemex P.2.0130.01-2015 standards for different load demands. However, these three analyses also show hydrostatic collapse due to water pressure on submerged elements, which is mitigated by installing stiffening rings in the tubular components. The dynamic analyses (ii and iii) reveal how generalized mass and mass participation factors influence structural behavior by generating various vibration modes with different periods. They also include a load comparison under different damping values, selecting the most unfavorable scenario. The nonlinear analyses (iv and v) provide collapse factors (Cr = 8.53 and RSR = 2.68) that exceed the minimum requirements; these analyses pinpoint the onset of plasticization in specific elements, identify their collapse mechanism, and illustrate corresponding load–displacement curves. Finally, spectral fatigue assessments indicate that most tubular joints meet or exceed their design life, except for one joint (node 370). This joint’s service life extends from 9.3 years to 27.0 years by applying a burr grinding weld-profiling technique, making it compliant with the fatigue criteria. By systematically combining linear, nonlinear, and fatigue-based analyses, the proposed framework enables robust multi-hazard verification of marine platforms. It provides operators and engineers with clear strategies for reinforcing existing structures and guiding future developments to ensure safe long-term performance. Full article
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14 pages, 3891 KB  
Article
Tunable Optical Properties of Cu/VSe2 from the Visible to Terahertz Spectral Range: A First-Principles Study
by Elaheh Mohebbi, Eleonora Pavoni, Pierluigi Stipa, Luca Pierantoni, Emiliano Laudadio and Davide Mencarelli
Int. J. Mol. Sci. 2025, 26(6), 2527; https://doi.org/10.3390/ijms26062527 - 12 Mar 2025
Cited by 2 | Viewed by 942
Abstract
In this study, Density Functional Theory (DFT) and Density Functional Tight-Binding (DFTB) calculations were used to study two different interfaces of Cu/VSe2 as well as four nanodiodes of VSe2 bulk including/excluding the Cu layer. We calculated the electronic and optical properties [...] Read more.
In this study, Density Functional Theory (DFT) and Density Functional Tight-Binding (DFTB) calculations were used to study two different interfaces of Cu/VSe2 as well as four nanodiodes of VSe2 bulk including/excluding the Cu layer. We calculated the electronic and optical properties of two systems of two Cu/VSe2 in which Cu atoms are positioned on the top and at the corner of the VSe2 monolayer lattice. The electronic band structure calculations revealed that the metallic properties of the VSe2 monolayer did not change with the interface of Cu atoms; however, the peak around the Fermi level (EF) in Cu/VSe2(Top) shifted downward to lower energies. The optical properties showed that in the visible range and the wavelengths related to the interband transition/intraband excitation of Cu atoms, the enhancement of Re(ω) values could be observed for both Cu/VSe2(Top) and Cu/VSe2(Corner) nanostructures, while in infrared/terahertz ranges, less/more negative values of Re(ω) were predicted. Through the effect of Cu atoms on the VSe2 monolayer, the intensity of the peaks in the Im(ω) part of the dielectric constant was increased from 0.2 THz for Cu@VSe2(Top) and 2.9 THz for Cu@VSe2(Corner) instead of the zero constant line in the pure system of VSe2. Refractive index (n) calculations indicated the higher indices at 5.4 and 4.6 for Cu/VSe2(Top) and Cu@VSe2(Corner), respectively, in comparison to the value of 2.9 for VSe2. Finally, DFTB calculations predicted higher current values from I(V) characteristic curves of Au/Cu/VSe2/Au and Ag/Cu/VSe2/Ag nanodiodes concerning two other devices without the presence of the Cu layer. Full article
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14 pages, 1985 KB  
Article
Role of Rifaximin in the Prognosis of Critically Ill Patients with Liver Cirrhosis
by Zhaohui Bai, Congcong Li, Yongjie Lai, Xiaojuan Hu, Luwen Shi, Xiaodong Guan and Yang Xu
Antibiotics 2025, 14(3), 287; https://doi.org/10.3390/antibiotics14030287 - 10 Mar 2025
Cited by 2 | Viewed by 2523
Abstract
Background/Objectives: Critically ill patients with liver cirrhosis impose a substantial health burden on the world. Rifaximin is a potential treatment option for such patients. Methods: We extracted critically ill patients with liver cirrhosis from the Medical Information Mart for Intensive Care [...] Read more.
Background/Objectives: Critically ill patients with liver cirrhosis impose a substantial health burden on the world. Rifaximin is a potential treatment option for such patients. Methods: We extracted critically ill patients with liver cirrhosis from the Medical Information Mart for Intensive Care (MIMIC) IV database. Based on study outcomes, the current study included prevention and treatment cohorts. A 1:1 propensity score matching (PSM) analysis was performed to match the characteristics of patients. The risk of ICU admission and intensive care unit (ICU), in-hospital, 90-day, and 180-day death were explored. Cox regression analyses were conducted, and hazard ratios (HRs) and 95% confidence intervals (CIs) were calculated. Kaplan-Meier curves were further drawn to demonstrate the cumulative 90-day and 180-day survival rate. Results: Overall, 5381 critically ill patients with liver cirrhosis were included. In the prevention cohort, rifaximin could decrease the risk of ICU admission (HR = 0.427, 95%CI: 0.338–0.539, p < 0.001). In the treatment cohort, rifaximin could decrease the risk of ICU (HR = 0.530, 95%CI: 0.311–0.902, p = 0.019) and in-hospital death (HR = 0.119, 95%CI: 0.033–0.429, p = 0.001) in critically ill patients with liver cirrhosis. However, rifaximin could not decrease the risk of 90-day (HR = 0.905, 95%CI: 0.658–1.245, p = 0.541) and 180-day (HR = 1.043, 95%CI: 0.804–1.353, p = 0.751) death in critically ill patients with liver cirrhosis. Kaplan-Meier curve analyses also showed that rifaximin could not significantly decrease the 90-day (p = 0.570) and 180-day (p = 0.800) cumulative mortality. Conclusions: This study suggests that rifaximin can significantly decrease the risk of ICU admission and improve short-term survival but does not impact long-term survival in critically ill patients with liver cirrhosis. Full article
(This article belongs to the Special Issue Antibiotics in the Critically Ill Patient)
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11 pages, 1153 KB  
Article
PromarkerD Versus Standard of Care Biochemical Measures for Assessing Future Renal Function Decline in Type 2 Diabetes
by Kirsten E. Peters, Isabella A. Joubert, Scott D. Bringans, Wendy A. Davis, Richard J. Lipscombe and Timothy M. E. Davis
Diagnostics 2025, 15(6), 662; https://doi.org/10.3390/diagnostics15060662 - 9 Mar 2025
Cited by 2 | Viewed by 2547
Abstract
Background/Objectives: The current standard of care for assessing chronic kidney disease complicating diabetes (DKD) includes measurement of estimated glomerular filtration rate (eGFR) and urinary albumin:creatinine ratio (uACR) but both tests have limitations. The present study compared the biomarker-based Promarker®D test with [...] Read more.
Background/Objectives: The current standard of care for assessing chronic kidney disease complicating diabetes (DKD) includes measurement of estimated glomerular filtration rate (eGFR) and urinary albumin:creatinine ratio (uACR) but both tests have limitations. The present study compared the biomarker-based Promarker®D test with conventional biochemical measures for predicting future kidney function decline in adults with type 2 diabetes (T2D). Methods: Baseline concentrations of apolipoprotein A-IV, CD5 antigen-like protein and insulin-like growth factor binding protein 3 were combined with age, serum HDL cholesterol and eGFR to generate PromarkerD risk scores for incident DKD/eGFR decline ≥ 30% (the primary endpoint) in 857 adults with T2D (mean age 65.4 years, 54% males). Logistic regression modelling was used to compare the association of (i) PromarkerD, (ii) eGFR, (iii) uACR, and (iv) eGFR plus uACR with this outcome during 4 years of follow-up. Results: Study participants were classified by PromarkerD as low (63%), moderate (13%), or high risk (24%) for kidney function decline at baseline. Over a mean 4.2 years, 12.5% developed the primary endpoint. PromarkerD scores showed significantly higher predictive performance (area under the receiver operating characteristic curve (AUC) 0.88 (95% confidence interval (CI) 0.85–0.91)) compared to conventional biochemical measures (AUC = 0.63–0.82). There was a progressive increase in risk with moderate and high risk by PromarkerD exhibiting greater odds of the primary endpoint compared to those at low risk (odds ratios (OR) (95% CI) 8.11 (3.99–16.94) and 21.34 (12.03–40.54), respectively, both p < 0.001). Conclusions: PromarkerD more accurately identifies adults with T2D at risk of kidney function decline than current usual care biochemical tests. Full article
(This article belongs to the Special Issue Current Issues on Kidney Diseases Diagnosis and Management 2025)
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20 pages, 5045 KB  
Article
Cathodic Electrodeposition of Cerium-Based Conversion Coatings Using Deep Eutectic Solvents Formulations for Corrosion Protection of AA7075 Aluminum Alloys
by Aurora Petica, Stefania Costovici, Adrian-Cristian Manea, Anca Cojocaru, Calin Constantin Moise, Sabrina State, Liana Anicai and Marius Enachescu
Metals 2025, 15(1), 20; https://doi.org/10.3390/met15010020 - 30 Dec 2024
Viewed by 2140
Abstract
The paper presents a new approach towards forming Ce-based nanostructures using deep eutectic solvents (DESs) as new green solvents and large-scale media for the chemical and electrochemical synthesis of advanced functional surfaces and nanomaterials. Some experimental results regarding the cathodic electrodeposition of cerium-based [...] Read more.
The paper presents a new approach towards forming Ce-based nanostructures using deep eutectic solvents (DESs) as new green solvents and large-scale media for the chemical and electrochemical synthesis of advanced functional surfaces and nanomaterials. Some experimental results regarding the cathodic electrodeposition of cerium-based conversion coatings onto AA7075 aluminum alloys involving different DES-based formulations are discussed. Electrolytes containing Ce(NO3)3·6H2O dissolved in choline chloride-glycerine and choline chloride-urea (1:2 molar ratio) eutectic mixtures with additions of H2O2 have been proposed and investigated. The influence of the operating parameters, including the applied current density, process duration and temperature on the quality of the formed Ce-containing conversion layers was studied. Adherent and uniform Ce-based conversion layers containing 0.3–5 wt.%. Ce have been obtained onto Al alloy substrates. Higher values of the applied current density and longer process durations led to higher Ce content when a choline chloride-urea eutectic mixture was used. Several accelerated corrosion tests were performed to evaluate the corrosion performance, respectively: (i) continuous immersion in 0.5 M NaCl for 720 h with intermediary visual examinations, recording of (ii) potentiodynamic polarization curves and of (iii) impedance spectra at open circuit potential in 0.5 M NaCl, as well as (iv) salt mist test for 240 h. The influence of an additional post-treatment step consisting in the electrochemical deposition of a hydrophobic Ce-based layer involving ethanolic solutions of stearic acid and cerium nitrate is also considered. Different corrosion performances are discussed, taking into account the used DES-based systems and electrodeposition parameters. Full article
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Article
Electrical Model Analysis for Bifacial PV Modules Using Real Performance Data in Laboratory
by Valentina González Becerra, Patricio Valdivia-Lefort, Rodrigo Barraza and Jesús García García
Energies 2024, 17(23), 5868; https://doi.org/10.3390/en17235868 - 22 Nov 2024
Cited by 8 | Viewed by 1990
Abstract
The new PV technologies, such as bifacial modules, bring the challenge of analyzing the response of numerical models and their fit to actual measurements. Thus, this study explores various models available in the literature for simulating the IV curve behavior of bifacial photovoltaic [...] Read more.
The new PV technologies, such as bifacial modules, bring the challenge of analyzing the response of numerical models and their fit to actual measurements. Thus, this study explores various models available in the literature for simulating the IV curve behavior of bifacial photovoltaic modules. The analysis contains traditional models, such as single and double-diode models, and empirical or analytical methodologies. Therefore, this paper proposes and implements a model performance assessment framework. This framework aims to establish a common basis for comparison and verify the applicability of each model by contrasting it with experimental data under controlled conditions of irradiance and temperature. The study utilizes bifacial modules of PERC+, HJT, and n-PERT technologies, tracing IV curves using a high-precision A+A+A+ solar simulator and conducting two sets of laboratory illumination measurements: single-sided and double-sided. In the first case, each face of the module is illuminated separately, while in the latter, the incident frontal illuminating light is reflected on a reflective surface. Experimental data obtained from these measurements are used to evaluate three different approximations for bifacial IV curve models in the case of double-sided illumination. The employed model for single-sided illumination is a single-diode model. The evaluation of various models revealed that shadowing from frames and junction boxes contributes to an increase in the error of modeled IV curves. However, among the three evaluated bifacial electrical models, one exhibited superior performance, with current errors approaching approximately 20%. To mitigate this discrepancy, a proposed methodology highlighted the significance of accurately estimating Io, suggesting its potential to reduce errors. This research provides a foundation for comparing electrical models to identify their strengths and limitations, paving the way for the development of more accurate modeling approaches tailored to bifacial modules. The insights gained from this study are crucial for enhancing the precision of IV curve predictions under various illumination conditions, which is essential for optimizing bifacial module performance in real-world applications. Full article
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