Search Results (126)

The essay offers an expansive and multi-stratified investigation into the role of esoteric traditions within the development of Russian modernity, reframing occultism not as an eccentric deviation but as a foundational epistemological regime integral to Russia’s aesthetic, philosophical, and political evolution. By analyzing the arc from Petrine-era alchemical statecraft to the techno-theurgical aspirations of Russian Cosmism and the esoteric visual regimes of the avant-garde, this essay discloses the deep ontological entanglement between sacral knowledge and modernist radical experimentation. The work foregrounds figures such as Jacob Bruce, Wassily Kandinsky, and Kazimir Malevich, situating them within broader transnational currents of Hermeticism, Theosophy, and Rosicrucianism, while interrogating the role of occult infrastructures in both late-imperial and Soviet paradigms. Drawing on recent theoretical frameworks in the global history of esotericism and modernist studies, the long-read article elucidates the metaphysical substrata animating Russian Symbolism, Abstraction, Malevich’s non-Euclidian Suprematism and Moscow Conceptualism. This study contends that esotericism in Russia—far from marginal—served as a generative matrix for radical aesthetic innovation and ideological reconfiguration. It proposes a reconceptualization of Russian cultural history as a palimpsest of submerged sacral structures, where utopia and apocalypse, magic and technology, converge in a distinctively Russian cosmopoietic horizon. Ultimately, this essay reframes Russian and European occultism as an alternate technology of cognition and a performative semiotic universe shaping not only artistic modernism but also the very grammar of Russian historical imagination. Full article

Against the backdrop of global energy transition and strict environmental regulations, supercritical carbon dioxide (scCO₂) fracturing and oil displacement technologies have emerged as pivotal green approaches in shale gas exploitation, offering the dual advantages of zero water consumption and carbon sequestration. However, the inherent low viscosity of scCO₂ severely restricts its sand-carrying capacity, fracture propagation efficiency, and oil recovery rate, necessitating the urgent development of high-performance thickeners. The current research on scCO₂ thickeners faces a critical trade-off: traditional fluorinated polymers exhibit excellent philicity CO₂, but suffer from high costs and environmental hazards, while non-fluorinated systems often struggle to balance solubility and thickening performance. The development of new thickeners primarily involves two directions. On one hand, efforts focus on modifying non-fluorinated polymers, driven by environmental protection needs—traditional fluorinated thickeners may cause environmental pollution, and improving non-fluorinated polymers can maintain good thickening performance while reducing environmental impacts. On the other hand, there is a commitment to developing non-noble metal-catalyzed siloxane modification and synthesis processes, aiming to enhance the technical and economic feasibility of scCO₂ thickeners. Compared with noble metal catalysts like platinum, non-noble metal catalysts can reduce production costs, making the synthesis process more economically viable for large-scale industrial applications. These studies are crucial for promoting the practical application of scCO₂ technology in unconventional oil and gas development, including improving fracturing efficiency and oil displacement efficiency, and providing new technical support for the sustainable development of the energy industry. This study innovatively designed an amphiphilic modified amino silicone oil polymer (MA-co-MPEGA-AS) by combining maleic anhydride (MA), methoxy polyethylene glycol acrylate (MPEGA), and amino silicone oil (AS) through a molecular bridge strategy. The synthesis process involved three key steps: radical polymerization of MA and MPEGA, amidation with AS, and in situ network formation. Fourier transform infrared spectroscopy (FT-IR) confirmed the successful introduction of ether-based CO₂-philic groups. Rheological tests conducted under scCO₂ conditions demonstrated a 114-fold increase in viscosity for MA-co-MPEGA-AS. Mechanistic studies revealed that the ether oxygen atoms (Lewis base) in MPEGA formed dipole–quadrupole interactions with CO₂ (Lewis acid), enhancing solubility by 47%. Simultaneously, the self-assembly of siloxane chains into a three-dimensional network suppressed interlayer sliding in scCO₂ and maintained over 90% viscosity retention at 80 °C. This fluorine-free design eliminates the need for platinum-based catalysts and reduces production costs compared to fluorinated polymers. The hierarchical interactions (coordination bonds and hydrogen bonds) within the system provide a novel synthetic paradigm for scCO₂ thickeners. This research lays the foundation for green CO₂-based energy extraction technologies. Full article

Background: The rapid advancement of radiomics and artificial intelligence (AI) technology has provided novel tools for the diagnosis of esophageal cancer. This study innovatively combines muscle imaging features with conventional esophageal imaging features to construct deep learning diagnostic models. Methods: This retrospective study included 1066 patients undergoing radical esophagectomy. Preoperative computed tomography (CT) images covering esophageal, stomach, and muscle (bilateral iliopsoas and erector spinae) regions were segmented automatically with manual adjustments. Diagnostic models were developed using deep learning (2D and 3D neural networks) and traditional machine learning (11 algorithms with PyRadiomics-derived features). Multimodal features underwent Principal Component Analysis (PCA) for dimension reduction and were fused for final analysis. Results: Comparative analysis of 1066 patients’ CT imaging revealed the muscle-based model outperformed the esophageal plus stomach model in predicting N2 staging (0.63 ± 0.11 vs. 0.52 ± 0.11, p = 0.03). Subsequently, multimodal fusion models were established for predicting pathological subtypes, T staging, and N staging. The logistic regression (LR) fusion model showed optimal performance in predicting pathological subtypes, achieving accuracy (ACC) of 0.919 in the training set and 0.884 in the validation set. For predicting T staging, the support vector machine (SVM) model demonstrated the highest accuracy, with training and validation accuracies of 0.909 and 0.907, respectively. The multilayer perceptron (MLP) fusion model achieved the best performance among all models tested for N staging prediction, although the accuracy remained moderate (ACC = 0.704 in the training set and 0.685 in the validation set), indicating potential for further optimization. Fusion models significantly outperformed single-modality models. Conclusions: Based on CT imaging data from 1066 patients, this study systematically constructed predictive models for pathological subtypes, T staging, and N staging of esophageal cancer. Comparative analysis of models using esophageal, esophageal plus stomach, and muscle modalities demonstrated that muscle imaging features contribute to diagnostic accuracy. Multimodal fusion models consistently showed superior performance. Full article

In recent years, there has been growing consumer interest in foods and cosmetics containing ingredients of natural origin. During the production process, a by-product of pomace is generated, which is regarded as a dispensable product by the food industry. However, studies have clearly indicated that fruit and vegetable pomace is a valuable source of many nutrients, whose beneficial effects on human health and appearance may represent an added value in its secondary use. Incorporating pomace into cosmetic products enhances their aesthetic value and can enrich them with naturally occurring polyphenols, which is in line with the circular economy model. In the present study, we determined selected mechanical properties of lip balms containing different amounts of grape pomace, for example, the kinetic friction against artificial leather, hardness, penetration performance, maximum shear force, and sample penetration resistance. Moreover, the antiradical activity against DPPH and the total phenolic content were determined, and the colour parameters were analyzed. All tests were conducted on lip balm samples containing 1, 3, and 5% fruit pomace and a control sample. Analysis of the penetration performance showed no statistically significant differences between the individual samples. However, differences in the values of other physical properties were noted. Moreover, the antiradical activity against the synthetic radical DPPH and the total phenolic content increases the value of lip balms with increasing amounts of pomace added. The colour of the lip balms also darkens with increasing amounts of pomace added. The innovative use of grape pomace is in line with sustainable development, and its properties enhance the effects of lip balms. Full article

This article examines the energy efficiency and climate impact of various heating methods commonly employed across industrial sectors. Fossil fuel combustion heat sources, which are predominantly employed for industrial heating, contribute significantly to atmospheric pollution and associated asset losses. The electrification of industrial heating has the potential to substantially reduce the total energy consumed in industrial heating processes and significantly mitigate the rate of global warming. Advances in electrical heating technologies are driven by enhanced energy conversion, compactness, and precision control capabilities, ensuring attractive financial payback periods for clean, energy-efficient equipment. These advancements stem from the use of improved performance materials, process optimization, and waste heat utilization practices, particularly at high temperatures. The technical challenges associated with large-scale, heavy-duty electric process heating are addressed through the novel innovations discussed in this article. Electrification and the corresponding energy efficiency improvements reduce the water consumed for industrial steam requirements. The article reviews new technologies that replace conventional process gas heaters and pressure boilers with efficient electric process gas heaters and instant steam generators, operating in the high kilowatt and megawatt power ranges with very high-temperature capabilities. Financial payback calculations for energy-optimized processes are illustrated with examples encompassing a range of comparative energy costs across various temperatures. The economics and implications of waste heat utilization are also examined in this article. Additionally, the role of futuristic, radical technical innovations is evaluated as a sustainable pathway that can significantly lower energy consumption without compromising performance objectives. The potential for a new paradigm of self-organization in processes and final usage objectives is briefly explored for sustainable innovations in thermal engineering and materials development. The policy implications and early adoption of large-scale, energy-efficient thermal electrification are discussed in the context of temperature segmentation for industrial-scale processes and climate-driven asset losses. Policy shifts towards incentivizing energy efficiency at the manufacturing level of heater use are recommended as a pathway for deep decarbonization. Full article

With the rapid advancement of e-commerce delivery technologies, understanding consumer responses to different types of innovations has become increasingly important. This study examines how consumers react to incremental innovations (e.g., smart lockers) versus radical innovations (e.g., autonomous drones) by integrating personal innovativeness into the Unified Theory of Acceptance and Use of Technology (UTAUT) framework. Based on 300 valid survey responses from Chinese consumers and analyzed using structural equation modeling (SEM), the findings demonstrate that personal innovativeness significantly influences key adoption determinants—performance expectancy, effort expectancy, social influence, and facilitating conditions. The adoption of smart lockers is primarily driven by perceived performance and convenience, whereas the adoption of autonomous drones is more strongly shaped by social influence. The proposed model provides both theoretical and practical implications for firms seeking to promote diverse e-commerce delivery technologies. Full article

Antibiotic resistance has been recognized as a global threat to human health. Therefore, it is urgent to develop effective strategies to address the contamination of water environments caused by antibiotics. In this study, Fe/Mn bimetallic-modified biochar (FMBC) was synthesized through a one-pot oxidation/reduction-hydrothermal co-precipitation method, demonstrating an exceptional photocatalytic-Fenton degradation performance for oxytetracycline (OTC). Characterization techniques including FTIR, SEM, XRD, VSM, and N₂ adsorption–desorption analysis confirmed that the Fe/Mn bimetals were successfully loaded onto the surface of biochar in the form of Fe₃O₄ and MnFe₂O₄ mixed crystals and exhibited favorable paramagnetic properties that facilitate magnetic recovery. A key innovation is the utilization of biochar’s inherent phenol/quinone structures as reactive sites and electron transfer mediators, which synergistically interact with the loaded bimetallic oxides to significantly enhance the generation of highly reactive ·OH radicals, thereby boosting catalytic activity. Even after five recycling cycles, the material exhibited minimal changes in degradation efficiency and bimetallic crystal structure, indicating its notable stability and reusability. The photocatalytic degradation experiment conducted in a Fenton-like reaction system demonstrates that, under the conditions of pH 4.0, a H₂O₂ concentration of 5.16 mmol/L, a catalyst dosage of 0.20 g/L, and an OTC concentration of 100 mg/L, the optimal degradation efficiency of 98.3% can be achieved. Additionally, the pseudo-first-order kinetic rate constant was determined to be 4.88 min⁻¹. Furthermore, this study elucidated the detailed degradation mechanisms, pathways, and the influence of various ions, providing valuable theoretical insights and technical support for the degradation of antibiotics in real wastewater. Full article

With the rapid development of radical initiation technologies such as photocatalysis and electrocatalysis, radical reactions have become an increasingly attractive approach for constructing target molecules. However, designing efficient synthetic routes using radical reactions remains a significant challenge due to the inherent complexity and instability of radical intermediates. While computer-aided synthesis planning (CASP) has advanced retrosynthetic analysis for polar reactions, radical reactions have been largely overlooked in AI-driven approaches. In this study, we introduce RadicalRetro, the first deep learning-based retrosynthesis model specifically tailored for radical reactions. Our work is distinguished by three key contributions: (1) RadicalDB: A novel, manually curated database of 21.6 K radical reactions, focusing on high-impact literature and mechanistic clarity, addressing the critical gap in dedicated radical reaction datasets. (2) Model Innovation: By pretraining Chemformer on ZINC-15 and USPTO datasets followed by fine-tuning with RadicalDB, RadicalRetro achieves a Top-1 accuracy of 69.3% in radical retrosynthesis, surpassing the state-of-the-art models LocalRetro and Mol-Transformer by 23.0% and 25.4%, respectively. (3) Interpretability and Practical Utility: Attention weight analysis and case studies demonstrate that RadicalRetro effectively captures radical reaction patterns (e.g., cascade cyclizations and photocatalytic steps) and proposes synthetically viable routes, such as streamlined pathways for Tamoxifen precursors and glycoside derivatives. RadicalRetro’s performance highlights its potential to transform radical-based synthetic planning, offering chemists a robust tool to leverage the unique advantages of radical chemistry in drug synthesis. Full article

The quality of persimmon wine is closely related to various compounds, including polysaccharides. Polysaccharides are an essential class of macromolecules that modulate the wine’s chemical and physical characteristics by influencing the colloidal state or interacting with other compounds through non-covalent bonds. Polyphenols, on the other hand, exhibit antioxidant properties and effectively neutralize free radicals. This study employed Luotian sweet persimmons and Brassica napus (rapeseed) as core ingredients for producing functional fermented wine. Using GC-MS, rapeseed polysaccharides were subjected to trifluoroacetic acid hydrolysis and then derivatized via silylation for qualitative analysis of their monosaccharide composition. Molecular docking and molecular dynamics simulations were performed to provide molecular-level insights into the interactions between D-glucopyranose from rapeseed polysaccharides and quercetin, a polyphenol present in persimmon wine. The objective was to explore the binding mechanisms of these compounds during fermentation and to assess how these molecular interactions in-fluence the wine’s flavor and stability. In addition, volatile flavor compounds in two types of persimmon wine (pure persimmon wine and oleoresin-enriched persimmon wine) were qualitatively and quantitatively analyzed using headspace solid-phase microextraction (SPME) combined with gas chromatography–mass spectrometry (GC-MS). The results reveal that D-glucopyranose forms hydrogen bonds with quercetin, modulating its redox behavior and thereby enhancing the antioxidant capacity of persimmon wine. The results from four in vitro antioxidant assays, including DPPH, ABTS, FRAP, and vitamin C analysis, demonstrate that the addition of rapeseed flowers improved the antioxidant activity of persimmon wine. HS-SPME-GC-MS analysis revealed that esters, alcohols, and aldehydes were the primary components contributing to the aroma of persimmon wine. Persimmon wines with varying levels of oleoresin addition exhibited significant differences in the contents of key compounds, which subsequently influenced the aroma complexity and flavor balance. In conclusion, these findings provide reliable data and a theoretical foundation for understanding the role of rapeseed flower in regulating the aroma profile of persimmon wine. These findings also offer theoretical support for a deeper understanding of the fermentation mechanisms of persimmon wine while providing practical guidance to optimize production processes, ultimately improving both product flavor and stability. This study fills a critical academic gap in understanding microscopic molecular interactions during fermentation and offers a novel perspective for innovation in the fermented food industry. Full article

Introduction and case report: Angiosarcomas, rare soft tissue malignancies originating from endothelial cells, represent only 1–2% of all soft tissue sarcomas. Primary pleural angiosarcoma (PPA) is exceptionally rare, with only 43 reported cases since 1943. There are many diagnostic and therapeutic challenges due to the rarity of these tumors. We present the case of a 72-year-old man presenting with back pain, dyspnea and anemia. Conventional imaging revealed bilateral pleural effusion and a thickened parietal pleura, while contrast chest MR was able to identify pleural sites of contrast enhancement. Left chest tube placement evidenced a hemothorax, and the cytology result was negative. A thoracoscopic approach was chosen, allowing us to perform different parietal pleural biopsies. Radiological and pathological features led to the diagnosis of epithelioid PPA. Despite pleural drainage and blood transfusions, the patient died only 4 days after diagnosis. Objectives: To present a literature review, evaluating the disease epidemiology and the clinical, diagnostic and therapeutic features of PPA. Methods: We reviewed cases of PPA in the literature (1954–2024) by searching the PubMed database for the terms “pleural angiosarcoma” and “pleura + angiosarcoma”. Results: We found a total of 47 cases that were described between 1987 and 2024 with sufficient data to be included in our review. PPA was found to be a challenging diagnosis, found mostly in older Caucasian males. The cytology is mostly indeterminant, and an endoscopic approach is usually needed. Radical surgery is the most common treatment option, and chemotherapy and radiation therapy are also often used. However, the prognosis is poor. Conclusions: PPA is very rare, and complex cases such as this one showcase the importance of innovative approaches like MRI and emphasize the significance of multidisciplinary collaboration for optimal patient management. Bilateral spontaneous hemothorax, as seen in this case, is uncommon and poses additional challenges in disease management. Further research to advance the diagnostic capabilities and treatment efficacy is needed. Full article

Sustainable bio-based products derived from fermentation are gaining increasing interest. The present study was designed to determine the interaction of Lacticaseibacillus rhamnosus 23.2 bacteria with spirulina in a 3 L glass bioreactor and the effect of aeration and agitation speed on the final product biomass and antioxidant capacity. The fermentation medium contained only glucose, an inorganic salt mixture, and spirulina powder. The estimated biomass and antioxidant activity were found to be 3.74 g/L and 84.72%, respectively, from the results of the optimization model. Scale-up was performed with the obtained optimization data, and three pilot-scale fermentations were carried out in a 30 L stainless steel bioreactor. As a result of pilot production, the obtained bioactive products were freeze-dried, and their antibacterial, antioxidant, total phenolic properties, and cytotoxic activity were investigated. The pilot production results showed that the increase in bacterial cell number was around 3–4 log after 24 h of fermentation. An inhibitory effect against pathogenic bacteria was observed. A strong radical scavenging effect was found in antioxidant analyses. Total phenolic substance content was 26.5 mg gallic acid equivalent (GAE) g⁻¹, which was the highest level in this study. Cytotoxic activity showed that bioactive products had a cytotoxic effect against Caco-2 adenocarcinoma cells. This study emphasizes the potential of Arthrospira platensis biomass as a substrate for the production of lactic acid bacteria (LAB)-based bioproducts. It is thought that the results obtained from this study may position potential innovative strategies in the food, pharmaceutical, agriculture, and cosmetic industries. Full article

Membrane-based persulfate catalysis technology offers a dual approach to wastewater treatment by facilitating both physical separation and chemical oxidation. This innovative method significantly enhances pollutant removal efficiency while mitigating membrane fouling, positioning it as a promising advanced oxidation technology for wastewater management. This review comprehensively examines the critical aspects of material design, activation mechanisms, and technological challenges. Membrane materials and structures are crucial for enhancing the overall efficiency of the technology. By analyzing various catalytic materials and modification strategies, the study reveals the intricate interactions between membrane structures, catalytic performance, and pollutant degradation. The clear mechanism of pollutant degradation is the key to achieve accurate degradation. The research highlights three primary activation pathways: free radical, non-radical, and hybrid mechanisms, each offering unique advantages in addressing complex water contamination. Finally, the future challenges and research directions are put forward. Despite remarkable progress, challenges remain in membrane stability, economic feasibility, and large-scale implementation. Therefore, this study outlines the latest materials, mechanisms, and prospects of membrane-based persulfate technology, which are expected to promote its widespread application in environmental governance. Full article

The degradation of sulfadiazine (4-amino-N-pyrimidin-2yl-benzenesulfonamide, SDZ), a widely used sulfonamide antibiotic, in aqueous solution under electron beam irradiation was investigated to explore its potential as an Advanced Oxidation Process for environmental remediation. This study evaluated the effects of irradiation dose, initial sulfadiazine concentration, and initial pH on the degradation efficiency. It was found at 0.5 kGy that the degradation efficiency decreased with increasing initial SDZ concentration, from 83.0% at 5 mg/L to 35.0% at 30 mg/L. The kinetic results showed a pseudo-first order model. The degradation efficiencies of 30 mg/L SDZ reached 80.8%, 75.3%, 69.5% and 69.8%, respectively, at pH 3.0, 6.3, 9.0, and 11.0 at 3.0 kGy, indicating the pH dependence to SDZ degradation under electron beam. The maximum removal efficiency was around 90% after UV analysis and 99% after HPLC analysis for 10mg/L SDZ at absorbed doses of 2–3 kGy and pH 6.3. Increasing the degradation efficiency of 10 mg/L SDZ from 0.5 kGy to 3.0 kGy showed the dose dependence on SDZ removal. Reactive species generated during irradiation, including hydroxyl radicals, hydrogen radicals, and solvated electrons, were identified as primary contributors to the degradation process. The effect of reactive species on the degradation of 10 mg/L SDZ was evaluated at variable doses, revealing the following trend: $•OH>•\mathrm{H}>{\mathrm{e}}_{\mathrm{a}\mathrm{q}}^{-}$. Transformation products were characterized using high-performance liquid chromatography (HPLC) and mass spectrometry (MS), providing insights into the degradation pathway. The results demonstrate that electron beam irradiation is an effective and sustainable method for sulfadiazine removal in water treatment systems, offering an innovative approach to mitigating antibiotic pollution in aquatic environments. Full article

This study investigates the interplay between digitalization capability, environmental sustainability perception, and radical innovation performance with a particular focus on the mediating roles of knowledge integration capability and knowledge accumulation. The study utilizes Structural Equation Modeling and the Hayes PROCESS Model to analyze data from 315 firms in technology-driven industries. The findings reveal that digitalization capability significantly enhances radical innovation performance (β = 0.767, p < 0.001, R² = 0.589), while environmental sustainability perception does not directly influence innovation performance nor mediate its relationship with digitalization. However, knowledge integration capability and knowledge accumulation emerge as critical enablers, strengthening the effect of digitalization on innovation outcomes. Moreover, knowledge integration capability positively moderates the digitalization capability–radical innovation performance relationship, demonstrating that firms with higher knowledge integration capability derive greater innovation benefits from digital transformation. In contrast, environmental sustainability perception does not moderate this relationship, suggesting that sustainability perception alone is insufficient to drive radical innovation. The findings provide insights for firms leveraging digitalization to drive innovation and efficiency. Knowledge integration and accumulation are key to sustaining competitive advantage. These results contribute to the literature on digital transformation, innovation management, and sustainability, highlighting the necessity of knowledge-driven mechanisms in leveraging digitalization for innovation success. This study offers valuable managerial insights by highlighting the strategic significance of knowledge integration and accumulation in enhancing the effectiveness of digital transformation on innovation performance. Future research should explore longitudinal dynamics, sectoral variations, and additional moderating factors such as digital leadership and organizational culture to deepen the understanding of this evolving field. Full article

Specialized, Refined, Differentiated, and Innovative (SRDI) enterprises are crucial to China’s economic development. It is important to examine how various factors’ combinations impact the radical innovation performance of SRDI enterprises in order to promote high-quality regional economic development. Based on the Technology–Organization–Environment (TOE) framework, this study selected SRDI enterprises as research samples, used a hierarchical clustering algorithm to divide the enterprises into groups according to the characteristics of SRDI enterprises, and employed a classification and regression tree (CART) algorithm to reveal the complex nonlinear relationships between the combinations of multiple key influencing factors and radical innovation performance from multi-source big data. The findings indicate that (1) there are significant variations in the factors affecting the radical innovation performance of different types of SRDI enterprises; (2) the radical innovation performance of SRDI enterprises stems from the synergistic interaction among various factors; and (3) the impact of R&D investment on radical innovation is not simply linear. This study effectively captures the complex nonlinear relationships between combinations of multiple influencing factors and radical innovation performance. It is of great practical significance for revealing SRDI enterprises’ radical innovation performance improvement pathways and enhancing their innovation capability. Full article