Multidisciplinary Digital Publishing Institute (Switzerland)
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Recovery of IR700 Fluorescence After Near-Infrared Photoimmunotherapy: Discovery and Mechanistic Insights
No full textBackground/Objectives: Near-infrared photoimmunotherapy (NIR-PIT) is a molecularly targeted cancer therapy that employs antibody–photoabsorber conjugates (APCs) comprising the photosensitizer IRDye700DX (IR700) and tumor-specific antibodies. Following near-infrared (NIR) light irradiation, IR700 undergoes structural modification, inducing selective and rapid necrotic cell death. In mouse tumor models, we observed that IR700 fluorescence decreased during irradiation but recovered immediately afterward. This study aimed to characterize this novel phenomenon, named “early fluorescence recovery,” and explore its therapeutic implications. Methods: Cetuximab-IR700 (Cet-IR700) was synthesized and administered to A431 and FaDu-Luc2 xenograft female BALB/c-nu/nu mouse models. In vivo fluorescence imaging was conducted using LIGHTVISION during and after NIR irradiation (690 nm, 50 J/cm2). Reactive oxygen species involvement was examined via intraperitoneal administration of L-sodium ascorbate. Tumor blood flow changes were assessed via indocyanine green (ICG) imaging, and therapeutic efficacy was compared between single and divided irradiation protocols. Results: Tumor fluorescence markedly decreased during NIR-PIT but rapidly recovered within 10 min after irradiation. This recovery was significantly inhibited by L-sodium ascorbate (p < 0.01) and accompanied by increased ICG fluorescence (p < 0.01), suggesting enhanced tumor perfusion. Divided irradiation performed after fluorescence recovery tended to yield greater tumor suppression than did single irradiation, although the difference was not statistically significant. Conclusions: Early fluorescence recovery after NIR-PIT reflects transient reactivation of photoactive APCs through oxygen-dependent molecular and vascular mechanisms. Exploiting this brief recovery window with divided irradiation may improve therapeutic efficacy and guide optimization of NIR-PIT protocols
Combined Process of Chlorination Roasting and Acid Leaching of Lead and Silver from Lead Cake
No full textThis study evaluates an integrated approach for recovering lead and silver from lead cake through chlorination roasting followed by acid leaching. The lead cake originates from sulfuric acid leaching of zinc ferrite residues obtained during the hydrometallurgical processing of zinc calcine. The effects of roasting temperature, lead cake-to-NaCl mass ratio, and roasting duration on metal recovery were systematically examined to determine optimal process conditions. Based on the experimental results, roasting at 550 °C for 1.5 h with a lead cake-to-NaCl mass ratio of 1:3, followed by leaching in 1 M HCl, was selected as a representative and sufficiently effective condition for the combined process. Under these conditions, nearly complete dissolution of Pb and Ag was achieved, reducing their contents in the final solid residue to 0.90% and 0.0027%, respectively. Compared to direct chloride leaching, the combined process provided higher extraction efficiencies (Pb 98.67%, Ag 98.09%) and a lower final residue mass (34% vs. 45%). The roasting step enables the solid-state conversion of PbSO4 into highly soluble chloride phases (PbCl2 and Pb(OH)Cl), while ZnFe2O4, Fe2O3 and SiO2 remain stable and form the inert matrix of the residue. Acid leaching at a lower solid-to-liquid ratio (1:10) ensures near-complete dissolution of Pb and Ag, whereas aqueous leaching at a high ratio (1:100) results in incomplete Pb removal. The compliance leaching test (EN 12457-2) confirmed that the residue produced after the optimized two-step treatment meets the EU criteria for inert waste. Overall, the proposed combined process enhances Pb and Ag recovery, minimizes environmental risk, and offers a technically robust and sustainable route for treating lead-containing industrial residues
Simvastatin Improves the High-Fat-Diet-Induced Metabolic Disorder in Juvenile Chinese Giant Salamander (Andrias davidianus) Through Inhibiting Endoplasmic Reticulum Stress and Enhancing Mitochondrial Function
No full textIn order to deeply understand the potential mechanisms underlying the metabolic disorders of Chinese giant salamander (Andrias davidianus), a total of two feeding trials were conducted in the present study. For experiment I, the diets containing five graded levels of lipids at 32.8, 58.7, 87.9, 122.4, and 149.2 g/kg were formulated, respectively, and fed to juvenile A. davidianus for 90 days. The quadratic regression analysis based on growth performance results indicated that the optimal dietary lipid level is 95.16–101.02 g/kg. Meanwhile, a dietary lipid level of 149.2 g/kg was found to reduce the growth performance of A. davidianus. Based on this, in experiment II, a normal-fat diet (86.8 g/kg crude lipid), a high-fat diet (HFD, 148.4 g/kg crude lipid), and an HFD supplemented with 0.1 g/kg simvastatin were prepared, respectively, and fed to the juveniles for 90 days. The results indicated that HFD feeding resulted in hyperlipidemia, hepatic damage, endoplasmic reticulum stress, and mitochondrial dysfunction, while simvastatin administration alleviated these symptoms. In conclusion, simvastatin could alleviate the HFD-induced metabolic disorders in A. davidianus, as may be achieved by inhibiting ER stress and enhancing mitochondrial function
Dietary Patterns and Depressive Symptom Severity in the Hungarian Adult Population: Evidence from a Nationally Representative Survey
No full textBackground: Depression represents a major public health burden in Hungary, where prevalence remains higher than the global average. Although diet is an increasingly studied factor associated with mental health, evidence from Central and Eastern Europe is scarce. Methods: This cross-sectional study analyzed data from the Hungarian wave of the European Health Interview Survey (EHIS) 2019, a nationally representative sample of 5603 adults aged ≥15 years. Depressive symptom severity was assessed using the Patient Health Questionnaire-8 (PHQ-8) and categorized as none (0–4), mild (5–9), and moderate-to-severe (≥10). Self-reported frequency of consumption of fruits, vegetables, fruit juice, dairy products, fish, processed meat, sweetened beverages, coffee, and sweeteners was examined. Multivariable ordinal logistic regression models, adjusted for gender, age, education, income, physical activity, smoking, and alcohol consumption, were used to estimate associations with depressive symptom severity. Results: Overall, 77.9% of participants had no depression, 17.0% mild, and 5.1% moderate-to-severe symptoms. After full adjustment, lower consumption of fruits and vegetables, less frequent fruit juice intake, and lower processed meat consumption were associated with higher odds of more severe depressive symptoms. Moderate coffee intake (1–2 cups/day) was associated with lower odds than heavier consumption. Conclusions: In the Hungarian adult population, poorer dietary patterns, particularly low intake of fruits, vegetables, and paradoxically lower processed meat consumption, are significantly associated with greater depressive symptom severity, independent of major sociodemographic and lifestyle factors. These findings underscore the potential role of diet quality in mental health and support public health efforts to promote nutrient-rich dietary patterns in Hungary
Gamsia batmanii sp. nov. Isolated from a Common Bent-Wing Bat and the Review of the Genus Gamsia
No full textCave ecosystems represent environmentally constrained habitats that host diverse and highly specialized fungal communities. Many cave-dwelling fungi act as decomposers, transient colonizers, or cave fauna symbionts. During a mycological survey of Sesalačka cave (Serbia), a previously undescribed species was isolated from the skin of a Miniopterus schreibersii. The aim of this study was to characterize this isolate using an integrative taxonomic approach combining morphology, physiology, and multilocus phylogenetics. The fungus was cultured on different media under and its morphophysiological traits were recorded. DNA sequences of ITS, LSU, SSU, and TEF1α were compared with existing Gamsia species and phylogenetic analysis placed the isolate within the Gamsia clade, forming a well-supported lineage the most closely related to G. aggregata, but differing from it by 8–12 base pairs across loci. Distinctive morphological features of this species include obovoid to pyriform polyblastic conidia, hyaline to pale-brown annelloconidia, and reduced conidiophores, clearly separating the species from described congeners. It is psychrotolerant and does not grow at 37 °C, suggesting it is a cave-associated saprobe rather than a mammalian pathogen. This study expands the known diversity of Gamsia species and contributes to the growing evidence that subterranean habitats harbor numerous undescribed fungal kingdom members
Generalized Interval-Valued Convexity in Fractal Geometry
No full textThe main goal of this study is to explain the idea of generalized interval-valued (I.V) convexity on a fractal set. We first define the basic operations for a generalized interval of Rs with 0<s≤1. Then, we expand the idea of (I.V) Riemann integration to (I.V) local fractal integration, which sets the stage for further research. This is followed by the proof of new Jensen, Hermite, Hadamard, Pachpatte, and Fejer inequalities that are (I.V) and have to do with the generalized class of (I.V) convexity defined over the fractal domain. We furnish validation through visual and comparative approaches. Our outcomes are the refinement of many existing results, indicating that they are fruitful. In fractal settings, this is the first paper to work on (I.V) convexity and some set-valued versions of Hermite–Hadamard-type containments
Characterization of Proton Exchange Membrane Fuel Cell Operating in Electrochemical Hydrogen Compression Mode
No full textThis study examines the performance of a proton exchange membrane fuel cell operated in electrochemical hydrogen compression (EHC) mode, focusing on the effects of temperature, relative humidity (RH), and pressure on water management and efficiency. Two humidification strategies were investigated: (i) a dry cathode with humidified anode hydrogen and (ii) a flooded cathode with controlled anode humidification. Experiments were conducted at different temperatures (from 35 to 70 °C), RH levels (from 0 to 100%), and compression ratios of 1 and 2, using polarization curves, electrochemical impedance spectroscopy, and linear sweep voltammetry (LSV). In the dry cathode configuration, optimal performance occurred at 70 °C with fully humidified anode gas, achieving current densities above 2 A cm−2 at voltages below 0.3 V. Partial humidification caused instability due to membrane dehydration. In the flooded cathode, high cathode pressure increased mass transport resistance, while excessive inlet humidification promoted flooding and consequently reduced the efficiency. LSV results highlighted the trade-off between proton conductivity and hydrogen back diffusion, particularly for thin membranes used in this study. The findings demonstrate that precise water balance is essential for stable and efficient EHC operation and provide guidelines for optimizing compression performance, supporting the development of high-efficiency and low-maintenance hydrogen compression systems for stationary and mobile applications
Enterprise Groups and Environmental Investment Efficiency: Empirical Evidence from China’s Heavily Polluting Industries
No full textIn recent years, guided by the sustainable development strategy and ecological civilization strategy, the concept of green environmental protection has gradually become popular. Increasingly, enterprises are enhancing their environmental investment practices after recognizing the importance of environmental protection. From the perspective of enterprise groups, improving the environmental investment efficiency of enterprises is of great significance for boosting sustainable development and optimizing resource allocation. Based on a research sample of listed companies in China’s heavy pollution industry from 2003 to 2020, this paper theoretically analyzes the impact of enterprise groups on environmental investment efficiency and the corresponding influence mechanisms. This paper finds that enterprise groups play a significantly positive role in promoting environmental investment efficiency. Further research indicates that this improvement primarily stems from two key aspects: On the one hand, the capital market within the enterprise group effectively alleviates the financing constraints in environmental investment. On the other hand, environmental investment efficiency is improved by optimizing innovation resources. In addition, the study identified two important moderating factors: firm executive characteristics and the degree of regional environmental regulation. This research enriches the existing research results regarding organizational management theory and the environmental investment efficiency of enterprises and provides theoretical and empirical references for promoting sustainable socio-economic development and the green transformation of enterprises
Flexible Inkjet-Printed pH Sensors for Application in Organ-on-a-Chip Biomedical Testing
No full textReliable models of the lung environment are important for research on inhalation products, drug delivery, and how aerosols interact with tissue. pH fluctuations frequently accompany real physiological processes in pulmonary environments, so monitoring pH changes in lung-on-a-chip devices is of considerable relevance. Presented here are flexible, miniaturized, inkjet-printed pH sensors that have been developed with the aim of integration into lung-on-a-chip systems. Different types of functional pH-sensitive materials were tested: hydrogen-selective plasticized PVC membranes and polyaniline (both electrodeposited and dropcast). Their deposition and performance were evaluated on different flexible conducting substrates, including screen-printed carbon electrodes (SPE) and inkjet-printed graphene electrodes (IJP-Gr). Finally, a biocompatible dropcast polyaniline-modified IJP was selected and paired with an inkjet-printed Ag/AgCl quasireference electrode. The printed potentiometric device showed Nernstian sensitivity (58.8 mV/pH) with good reproducibility, reversibility, and potential stability. The optimized system was integrated with a developed lung-on-a-chip model with an electrospun polycaprolactone membrane and alginate, simulating the alveolar barrier and the natural mucosal environment, respectively. The permeability of the system was studied by monitoring the pH changes upon the introduction of a 10 wt.% acetic acid aerosol. Overall, the presented approach shows that electrospun-hydrogel materials together with integrated microsensors can help create improved models for studying aerosol transport, diffusion, and chemically changing environments that are relevant for inhalation therapy and respiratory research. These results show that our system can combine mechanical behavior with chemical sensing in one platform, which may be useful for future development of lung-on-a-chip technologies
Platform Data Transaction and Government Regulation Under Users’ Personal Data Use Authorization Mechanism
No full textWith the significant increase in users’ privacy awareness and strict regulatory response, user privacy protection faces a dilemma between platform operational flexibility and commercial potential. The personal data use authorization has become an important mechanism influencing platform data transactions and government regulation, thereby shaping the development trajectory of the data trading market. Previous literature has yet to fully elucidate the complex interactions and evolutionary equilibrium strategies among the parties involved in data transactions. This study builds an evolutionary game model involving three parties—users, platforms, and the government—to explore the evolutionary equilibrium of users’ personal data use authorization strategy, platforms’ data trading strategy, and the government’s regulatory strategy. The findings reveal that: (1) User authorization does not always promote platform data transactions. Under the personal data use authorization mechanism, user authorization facilitates platform data transactions only when either the data transaction price is low and the value of user behavioral data exceeds a certain threshold, or the data transaction price is high and the value of user behavioral data falls within a specific range. (2) User authorization is not a sufficient condition for the government to impose strict regulatory measures on platform data transactions. When the regulatory cost is low, the government’s strict regulatory strategy is influenced by both the data transaction price and the value of user behavioral data. Specifically, under low-price–medium-value or high-price–high-value conditions, the government tends to strictly regulate platform data transactions when users do not authorize the use of personal data. Conversely, under low-price–high-value or high-price–medium-value conditions, the government is more inclined to enforce strict regulation when users authorize the use of personal data. This study contributes to evaluating the role of the personal data use authorization mechanism, offering valuable insights to platforms and the government on data transactions and regulation