Search Results (8,356)

Urban sprawl has been the subject of extensive scholarly investigation, as it is widely regarded as an unfavourable phenomenon with profound socio-economic consequences. Its fundamental forms have been delineated through specific Spatial Form Metrics (SFMs). In southern Poland, there exists a region whose dispersed development pattern is particularly distinctive. Owing to its considerable size—exceeding 5500 km²—it was deemed appropriate to analyse this area using the metrics and categories conventionally applied in urban sprawl research. The findings reveal a settlement pattern often described in the literature as resembling a ‘leopard skin’. Key urban parameters—such as density, intensity, dispersion, and clustering—were most effectively characterised by Shannon entropy levels calculated for these categories. In all instances, the entropy values proved to be very high, indicating minimal variation in development form across the study area. This outcome reflects the prevalence of numerous small, closely spaced building clusters, without the emergence of major concentrations capable of serving as nuclei for service centres with a developed public realm. As a result, structures that would ordinarily provide higher-order services and foster social integration fail to materialise. The implications for the open landscape are pronounced and predominantly negative: both agricultural landscapes and the still-existing, though limited, semi-natural landscapes are severely fragmented by scattered, unstructured building clusters. This fragmentation undermines rational agricultural management and impedes the conservation of self-regenerating areas that approximate the natural landscape. Against this backdrop, the present study examines the built-up structure of Area X in order to delineate pathways for a transition from environmentally detrimental settlement patterns towards forms of development that not only ensure the sustenance of urban life but also align with the broader principles of sustainable urban development, thereby safeguarding the continuity of urban life as a fundamental condition for long-term urban resilience. Full article

As an important part of the circular economy, recycling old garments not only lessens resource waste, but also offers significant social benefits and environmental conservation. Taking Hefei City, Anhui Province, China, as a case, this study adopted the innovative Planned Behavior Theory (TPB) model and introduced innovative variable community promotion as the moderating variable to analyze the influencing factors of residents’ used clothing recycling behavior. It was found that residents’ attitudes, perceived behavioral control, and subjective norms were key factors influencing their intention to recycle used clothes. Community promotion activities play a positive role in improving residents’ perceived behavior control. However, there is also an interaction between community promotion and perceived behavior control, indicating that the effect of community promotion is affected by residents’ perceived behavior control level. This shows that the publicity and promotion of the community will improve residents’ enthusiasm for recycling old clothes, but if the publicity or promotion is too strong, it may lead to a decline in residents’ enthusiasm. The results show that improving residents’ environmental awareness, simplifying the recycling process, utilizing social influence, rationally planning community promotion activities, policy support and incentive measures, and establishing multi-party cooperation mechanisms are effective ways to promote the recycling of used clothing and resources. Through these measures, we can better promote the recycling of used clothing, realize the rational development, utilization, and protection of resources, and contribute to the realization of green and high-quality development. However, this study is limited to the research and investigation in Hefei, Anhui Province, and most of the respondents have a certain educational background, so the universal applicability of the data may not be significant. Full article

This study positions Afşin Kum’s dystopian novel Sıcak Kafa [Hot Skull] within the contemporary cultural logic of metamodernism, addressing a critical lacuna in the scholarship concerning memory’s function after postmodernism. It asks how the novel engages with Alison Landsberg and Timotheus Vermeulen’s nascent theory of “metamodern memory,” which posits a shift toward a politically paralyzing obsession with authenticity, origin, and the proprietorship of lived experience. Using a methodology of close reading guided by this theoretical framework, the analysis first demonstrates how Sıcak Kafa serves as a powerful diagnostic tool, meticulously instantiating the pathologies of the metamodern condition: a fragile subjectivity defined by trauma, a fetishistic reliance on corporeal indexes, and the societal balkanization fostered by a centrally controlled information ecosystem. The study’s central finding, however, is that the novel stages a radical break from this bleak diagnosis. It charts the protagonist’s ultimate rejection of the rational, trauma-defined self in favor of a post-rational, post-linguistic consciousness, culminating in a speculative vision of collective liberation. The article concludes that Sıcak Kafa is not merely an example of metamodernism but a profound and transformative critique of its political pessimism, offering a speculative path beyond its contemporary impasse. Full article

Zinc oxide (ZnO) nanomaterials have emerged as promising candidates for gas sensing applications due to their high sensitivity, fast response–recovery cycles, thermal and chemical stability, and low fabrication cost. However, the performance of pristine ZnO remains limited by high operating temperatures, poor selectivity, and suboptimal detection at low gas concentrations. To address these limitations, significant research efforts have focused on dopant incorporation and polymer hybridization. This review summarizes recent advances in dopant engineering using elements such as Al, Ga, Mg, In, Sn, and transition metals (Co, Ni, Cu), which modulate ZnO’s crystal structure, defect density, carrier concentration, and surface activity—resulting in enhanced gas adsorption and electron transport. Furthermore, ZnO–polymer nanocomposites (e.g., with polyaniline, polypyrrole, PEG, and chitosan) exhibit improved flexibility, surface functionality, and room-temperature responsiveness due to the presence of active functional groups and tunable porosity. The synergistic combination of dopants and polymers facilitates enhanced charge transfer, increased surface area, and stronger gas–molecule interactions. Where applicable, sol–gel-based studies are explicitly highlighted and contrasted with non-sol–gel routes to show how synthesis controls defect chemistry, morphology, and sensing metrics. This review provides a comprehensive understanding of the structure–function relationships in doped ZnO and ZnO–polymer hybrids and offers guidelines for the rational design of next-generation, low-power, and selective gas sensors for environmental and industrial applications. Full article

Monocrystalline silicon, despite its widespread use as a photoelectrode material, is hindered by inherent drawbacks, such as high surface reflectivity, vulnerability to oxide passivation, and instability in aqueous electrolytes. To address these, a micropyramidal texture is fabricated on the silicon surface via wet chemical etching. A heterojunction photoanode was constructed by sequentially depositing NiSe₂ and WO₃ onto the textured silicon using chemical bath deposition, forming NiSe₂/WO₃@SiMPs. The photoanode demonstrates optimal photoelectrochemical performance at a NiSe₂ to WO₃ mass ratio of 9:1. Under simulated solar illumination (AM 1.5 G, 100 mW cm⁻²), it achieves a photocurrent of 5.62 mA cm⁻² at 1.23 V (vs. RHE), and a maximum photocurrent of 13.6 mA cm⁻² at 2.0 V (vs. RHE), markedly outperforming the individual components NiSe₂@SiMPs (8.23 mA cm⁻²) and WO₃@SiMPs (0.95 mA cm⁻²) at 2.0 V (vs. RHE). Electrochemical impedance spectroscopy (EIS) results show a markedly lower charge transfer resistance (Rct) for the NiSe₂/WO₃@SiMPs (8.16 Ω) compared to the single-phase counterparts NiSe₂@SiMPs (121.48 Ω) and WO₃@SiMPs (902.23 Ω), indicating more efficient charge separation. In addition, the photocurrent remains steady for about 10 h without significant degradation. This work presents a promising strategy for improving the photoelectrochemical water splitting efficiency of silicon-based photoelectrodes through rational heterostructure engineering. Full article

Polymeric micelles are promising nanocarriers for hydrophobic drug delivery, offering enhanced solubility, circulation time, and targeted release. This review presents a comprehensive evaluation of micelle preparation strategies, spanning conventional methods such as direct dissolution, dialysis, and thin-film hydration to emerging techniques including microfluidics, supercritical fluids, stimuli-responsive systems, and PEG-assisted assembly. Each method is compared in terms of scalability, reproducibility, solvent use, and regulatory compatibility. Among them, PEG-assisted methods show particular promise due to their simplicity and industrial readiness. We also explore the impact of fabrication strategy on drug loading, stability, and therapeutic efficacy across applications in cancer, infection, and inflammation. Finally, the review discusses key challenges in storage, manufacturing, and regulation, and highlights potential solutions through Quality-by-Design and scalable process integration. These insights provide guidance for the rational development of clinically translatable micelle-based drug delivery systems. Full article

Ketosis is one of the most common metabolic disorders in high-yielding dairy cows in early lactation. It has a negative impact on milk yield, reproduction, and general health of the animals. The present review aims to systematize and critically analyze current scientific data on the monitoring, diagnosis, prevention, and treatment of subclinical and clinical ketosis, with the aim of developing an applicable protocol for good veterinary medical practices (GMP). Based on the comparative analysis method of data from the literature and clinical practice, β-hydroxybutyrate (BHBA) in blood is confirmed as the gold standard for diagnosis with specificity and sensitivity above 90%. Indicators such as fat/protein (F/P) > 1.4 and NEFA > 0.4 mmol/L, as well as reduced citrate content in milk, have been evaluated as useful screening tools, although with lower diagnostic value. Despite the advantages of some indirect methods (such as F/P), critical analysis shows that they are strongly influenced by physiological status, lactation stage, and diet and cannot replace direct blood tests. Preventive approaches emphasize the importance of stable nutrition in the pre- and post-calving period, restriction of ketogenic feeds, and use of oral glucose precursors. Literature analysis shows that propylene glycol is effective, but with prolonged use it can reduce appetite. Combined antiketotic products have also been introduced, providing not only energy support but also liver protection. Particular attention has been paid to monensin (applied in the commercial product “Kexxtone”)—a polyether antibiotic with sustained release, which reduces the incidence of ketosis by over 50% and increases milk yield in the first weeks after calving. However, its high cost, antibiotic nature, and need for veterinary supervision limit its universal use. The treatment protocol is differentiated according to the clinical type: glucose I. V. and propylene glycol in type I ketosis and avoidance of glucocorticoids in suspected type II (hepatic steatosis). In the critical analysis It is noted that improper use of glucocorticoids can lead to a worsening of the condition. A structured protocol for DVMP (Dairy Veterinary Medical Practice) is proposed, which includes targeted metabolic monitoring (NEFA, BHBA, F/P); proven preventive regimens (Kexxtone, propylene glycol, balanced rations), and staged prevention and treatment according to the form of ketosis. The adaptation of good practices to the scale of the farm and the level of knowledge and skills of the staff for their correct application remains a challenge. Providing training, a standardized control log, and access to field diagnostic tools is key to the success of any protocol. Full article

This study investigated the effects of dietary stevia straw supplementation on meat quality, amino acid and fatty acid content, and rumen microbial diversity in sheep. A total of 50 ram lambs (3–4 months, 27.01 ± 3.8 kg) were randomly assigned to five groups. Each group received a total mixed ration supplemented with 0% (control), 5%, 15%, 25% and 35% dry stevia straw for 72 days. Adding 15% and 25% stevia straw significantly increased the pre-slaughter body weight. EE content was also significantly higher across all experimental groups (p < 0.01), showing a linear increase with supplementation. Glutamic acid content in the 15% group was significantly higher than that in the 25% group (p < 0.05). The addition of stevia straw improved the fatty acid profile: C18:1n9c content in the 5%, 15%, and 25% groups was significantly higher than that in the CK (Control) group (p < 0.05); C18:2n6c content in the 25% group was significantly higher than that in the CK, 5%, and 15% groups (p < 0.05); the content of (C20:1) was extremely significantly higher in all experimental groups compared to the CK group. Additionally, the unsaturated fatty acid content in the 25% group was significantly higher than that in the CK group (p < 0.05). The relative abundances of Bacteroidota and Firmicutes were increased in the 25% and 35% groups, but the differences were not significant (p > 0.05). In conclusion, dietary supplementation of 15–25% stevia straw to the ration can significantly improve the slaughtering performance, meat quality and muscle nutrient composition of fattening sheep. In addition, the addition of stevia straw had no negative effect on the rumen microflora, and the 15% level could increase the abundance and activity of the rumen microflora, so it is recommended to use 15% stevia straw in the ration for sheep during the fattening period. Full article

Wide-bandgap (WBG) perovskite solar cells (PSCs) are critical for high-efficiency tandem photovoltaic devices, but their practical application is severely limited by phase separation and poor film quality. To address these challenges, this study proposes a dual-additive passivation strategy using potassium thiocyanate (KSCN) and potassium chloride (KCl) to synergistically optimize the crystallinity and defect state of WBG perovskite films. The selection of KSCN/KCl is based on their complementary functionalities: K⁺ ions occupy lattice vacancies to suppress ion migration, Cl⁻ ions promote oriented crystal growth, and SCN⁻ ions passivate surface defects via Lewis acid-base interactions. A series of KSCN/KCl concentrations (relative to Pb) were tested, and the effects of dual additives on film properties and device performance were systematically characterized using scanning electron microscopy (SEM), X-ray diffraction (XRD), X-ray photoelectron spectroscopy (XPS), photoluminescence (PL), space-charge-limited current (SCLC), current-voltage (J-V), and external quantum efficiency (EQE) measurements. Results show that the dual additives significantly enhance film crystallinity (average grain size increased by 27.0% vs. control), reduce surface roughness (from 86.50 nm to 24.06 nm), and passivate defects-suppressing non-radiative recombination and increasing electrical conductivity. For WBG PSCs, the champion device with KSCN (0.5 mol%) + KCl (1 mol%) exhibits a power conversion efficiency (PCE) of 16.85%, representing a 19.4% improvement over the control (14.11%), along with enhanced open-circuit voltage (Voc: +2.8%), short-circuit current density (Jsc: +6.7%), and fill factor (FF: +8.9%). Maximum power point (MPP) tracking confirms superior operational stability under illumination. This dual-inorganic-additive strategy provides a generalizable approach for the rational design of stable, high-efficiency WBG perovskite films. Full article

Background and Objectives: The potential of essential oils (EOs) and fumaric acid (FA) to modulate ruminal fermentation and mitigate greenhouse gas emissions in dairy cows has attracted significant attention. However, little is known about the specific metabolites produced as a result of their interaction. This study investigated the combined effects of essential oil blends (EOBs) and FA on rumen metabolites using a rumen simulation technique (RUSITEC) system. Materials and Methods: Three rumen-cannulated, non-lactating Holstein Friesian cows served as inoculum donors. The total mixed ration (TMR; CON) comprised corn silage (60%), alfalfa hay (20%), and concentrate (20%). Three distinct EOBs were formulated: EOB1 [Garlic, Lemongrass, Cumin, Lavender, and Nutmeg; at 4:2:2:1:1, respectively], EOB2 [Anise, Clove, Oregano, Cedarwood, and Ginger; at 4:2:2:1:1, respectively], and EOB3 [Clove, Anise, Peppermint, and Oregano; at 4:3:2:1, respectively]. Four treatments evaluated were control (CON), EFA1 (EOB1 + FA), EFA2 (EOB2 + FA), and EFA3 (EOB3 + FA). EOBs and FA were included at 10 µL/g feed and 3% of TMR, respectively. Rumen effluents were collected over 5 days for metabolome analysis using liquid chromatography-mass spectrometry (LC–MS). Results: A total of 661 metabolites were detected and identified. Volcano plot analysis revealed 13 differentially abundant metabolites for EFA1, 41 for EFA2, and 19 for EFA3 compared to CON group. PLS-DA analysis showed clear separation of treatments, indicating modifications in the rumen fluid metabolome. Conclusions: The treatments led to the enrichment of pathways involved in amino acid, nucleotide, cofactor, and energy metabolism. These additives have the potential to optimize nutrient utilization and overall animal health. Therefore, in vivo studies should be conducted to validate their efficacy. Full article

Background/Objectives: Peripheral neuropathy (PN) triggers early oxidative stress, disrupting Schwann cell homeostasis. In this context, mitochondria serve as a primary source and vulnerable target of reactive oxygen species (ROS). Here, we investigated whether methylcobalamin (MeCbl) mitigates oxidative stress-induced mitochondrial dysfunction. Methods: RSC96 cells were exposed to H₂O₂ to model oxidative injury, then treated with MeCbl. Mitochondrial network integrity was evaluated using super-resolution imaging coupled with quantitative morphometric analysis. RNA-sequencing was performed to identify differentially expressed genes (DEGs) and enriched biological pathways. Additionally, a network-pharmacology approach was employed to intersect the predicted MeCbl targets with the transcriptomic signature. Results: MeCbl treatment alleviated H₂O₂-induced mitochondrial fragmentation, restoring the interconnected reticulum characterized by increased branch number, total area, and a reduction in punctate mitochondria. Transcriptome analyses revealed the reprogramming of stress-response pathways. The DEGs were significantly enriched in processes including mitochondrial organization and dynamics, redox homeostasis, protein quality control, and pro-survival signaling. Network pharmacology demonstrated convergence between the MeCbl targets and DEGs at core nodes governing mitochondrial quality control and antioxidant defense, thereby providing a mechanistic basis for the imaging phenotypes. Conclusions: MeCbl improved the mitochondrial structure and remodeled the stress-response pathways in Schwann cells under oxidative stress. By linking high-resolution organelle phenotypes to molecular networks, these findings support MeCbl as a rational adjunct to mitigate oxidative stress-driven peripheral neuropathy and identify an intervenable regulatory axis for future targeted therapies. Full article

Background/Objectives: This study investigated how selected functionality-related characteristics (FRCs) of hypromellose (HPMC)—namely viscosity, hydroxypropoxy substitution, particle size, and the ratio of water-soluble (FlowLac^® 100) to water-insoluble (Avicel^® PH-102) fillers— affect the release of carvedilol from matrix tablets. Methods: Using a Central Composite Design (CCD) Design of Experiments (DoE), mixtures of HPMC QbD samples were prepared to achieve target HPMC FRC levels. Within the CCD, levels of FlowLac^® 100 and Avicel^® PH-102 were also varied. The mean and standard deviation of carvedilol release at each analyzed time point of the release profile were used as target variables for individual multiple linear regression (MLR) models. Results: Lactose, the water-soluble filler, significantly accelerated carvedilol release, whereas the water-insoluble MCC slowed and stabilized release by improving gel integrity. Among the HPMC FRCs, particle size had the strongest influence during the early release phase, while HPMC viscosity and hydroxypropoxy substitution degree became more important in later phases. Analysis of the results using optimized multiple linear regression (MLR) models revealed key interaction effects, particularly between HPMC viscosity and lactose content, and between viscosity and particle size, demonstrating their combined role in modulating release kinetics. Conclusions: These findings provide valuable insight into how controlling HPMC’s FRCs and filler composition can reduce interbatch variability in drug release and support the rational design of robust controlled release formulations. Full article

Traditional ISAR imaging algorithms are based on the “stop-and-go” assumption and lack theoretical analysis, accurate simulation, and effective compensation regarding the high-speed motion of the target or the platform. In response to this issue, a theoretical analysis of the high-speed motion of the target or the platform in ISAR imaging is first conducted, indicating that when a chirp is transmitted, the echo from a scatterer can be approximated as a chirp with its central frequency and chirp rate changed, and this will lead to the shift and the blurring of the scatterer in range. A method is then proposed to estimate the central frequency and the chirp rate, which are used to adjust the central frequency and the chirp rate of the matched filter. The central frequency is estimated to maximize the normalized correlation of the amplitude spectrum and its nominal form, and the chirp rate is derived from the central frequency. Moreover, in order to show the rationality of our theoretical analysis and the effectiveness of our compensation method, a scheme is presented to simulate the received signal under the high-speed motion of the target or the platform. This scheme assumes that the target and the platform move continuously with time and reflects the effects of the high-speed motion on the received signal accurately. Full article

Rationality has long been considered the quintessence of humankind. However, psychological experiments revealing reliable divergences in performances on reasoning tasks from normative principles of reasoning have cast serious doubt on the venerable dogma that human beings are rational animals. According to the standard picture, reasoning in accordance with principles based on rules of logic, probability theory, etc., is rational. The standard picture provides the backdrop for both the rationality and irrationality thesis, and, by virtue of the competence-performance distinction, diametrically opposed interpretations of reasoning experiments are possible. However, the standard picture rests on shaky foundations. Jean Piaget developed a psychological theory of reasoning, in which logic and mathematics are continuous with psychology but nevertheless autonomous sources of knowledge. Accordingly, logic, probability theory, etc., are not extra-human norms, and reasoners have the ability to reason in accordance with them. In this paper, I set out Piaget’s theory of rationality, using intra- and interpropositional reasoning as illustrations, and argue that Piaget’s theory of rationality is compatible with the standard picture but actually undermines it by denying that norms of reasoning based on logic are psychologically relevant for rationality. In particular, rather than logic being the normative benchmark, I argue that rationality according to Piaget has a psychological foundation, namely the reversibility of the operations of thought constituting cognitive structures. Full article

Human induced pluripotent cells (hiPSCs), generated in vitro, represent a groundbreaking tool for tissue regeneration and repair. Understanding the metabolic intricacies governing hiPSCs is crucial for optimizing their performance across diverse environmental conditions and improving production strategies. To this end, in this work, we introduce hiPSCGEM01, the first genome-scale, context-specific metabolic model (GEM) uniquely tailored to fibroblast-derived hiPSCs, marking a clear distinction from existing models of embryonic and cancer stem cells. hiPSCGEM01 was developed using relevant genome expression data carefully selected from the Gene Expression Omnibus (GEO), and integrated with the RECON 3D framework, a comprehensive genome-scale metabolic model of human metabolism. Redundant and unused reactions and genes were identified and removed from the model. Key reactions, including those facilitating the exchange and transport of metabolites between extracellular and intracellular environments, along with all metabolites required to simulate the growth medium, were integrated into hiPSCGEM01. Finally, blocked reactions and dead-end metabolites were identified and adequately solved. Knockout simulations combined with flux balance analysis (FBA) were employed to identify essential genes and metabolites within the metabolic network, providing a comprehensive systems-level view of fibroblast-derived hiPSC metabolism. Notably, the model uncovered the unexpected involvement of nitrate and xenobiotic metabolism—pathways not previously associated with hiPSCs—highlighting potential novel mechanisms of cellular adaptation that merit further investigation. hiPSCGEM01 establishes a robust platform for in silico analysis and the rational optimization of in vitro experiments. Future applications include the evaluation and refinement of culture media, the design of new formulations, and the prediction of hiPSC responses under varying growth conditions, ultimately advancing both experimental and clinical outcomes. Full article