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The tests indicated that there was a good compatibility between human hair and cellulose in the regenerated human hair/cellulose blends as determined by Fourier transform infrared spectroscopy and transmission of light.
Thus, the presence of breast cancer appears to alter the hair growth process, resulting in changes in the composition and conformation of cell membrane and matrix materials of hair fiber.
The matrix can be processed easily and has good characteristics for tissue handling and urethral function.
An evaluation of hair structure and biology points to the need for better protective mechanisms from cuticular damage and UV damage to maintain the cosmetic value of the hair.
The reproducibility of these changes indicate that hair may represent an easily accessible tissue for the study of how hyperglycaemia can modify extracellular matrix materials which lead to diabetic complications.
The comparison with other natural fibres shows that sisal fibre is a good reinforcing agent in PF matrix.
The Coll-D-AAs matrices have good biocompatibility when compared with native collagen matrix.

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What are the factors that contribute to urban falcons being a successful species?
4 answers
Urban falcons' success can be attributed to various factors identified in the research. Factors influencing raptor presence in urban areas include habitat characteristics like urban vegetation, noise levels, and habitat quality. The presence of certain raptor species in urban settings may not be solely determined by specific traits like body mass or diet but could also be influenced by phylogenetic relatedness. Urban raptor communities tend to be dominated by smaller, ecological-generalist species, positively associated with habitat breadth and nest substrate breadth, while negatively associated with body mass. These traits contribute to the success of urban falcons, allowing them to thrive in city environments amidst increasing global urbanization.
How does the phenomenon of false memories relate to language proficiency levels in bilingual individuals?
5 answers
False memories in bilingual individuals are influenced by language proficiency levels. Studies suggest that using a foreign language can enhance memory monitoring, reducing false memories compared to using a native language. Interestingly, individuals with intermediate proficiency in a second language may exhibit more false memories than those with high or low proficiency levels. Moreover, false memories are more likely to occur in a person's dominant language compared to their non-dominant language, regardless of associative strength in the word lists. Bilinguals may exhibit different memory errors depending on the language of information, with high proficiency in a second language not necessarily affecting misinformation processing. Overall, language proficiency plays a crucial role in the susceptibility to false memories in bilingual individuals.
What is a conceptual framework that is critical of resilience and looks at environmental security?
5 answers
The Applied Urban Resilience Framework is a conceptual framework that critically examines resilience in the context of environmental security. It addresses the challenges of operationalizing urban resilience by proposing systemic design approaches within the urban environment subjected to shocks and stresses. Additionally, the paper by Elif Hande Ozcan Cetin and Defne Gönenç argues that resilience, while commonly used, has weaknesses such as transferring adaptation responsibility to individuals and overlooking structural causes of environmental problems. They advocate for an environmental justice framework over resilience for analyzing and solving environmental issues more comprehensively. Furthermore, the study by Jyri Rajamäki and Aarne Hummelholm introduces a conceptual resilience governance framework for ethical and resilient cyber-physical systems, emphasizing the importance of coordination and cooperation in complex digital ecosystems for maintaining critical operations.
How does resilience differ between females with interpersonal dependency and those without?
5 answers
Resilience levels vary based on different factors such as gender and interpersonal qualities. Research indicates that females tend to exhibit higher levels of resilience and interpersonal tolerance compared to males. Additionally, studies suggest that women with disabilities (WWD) who have experienced violence demonstrate significant resilience through personal qualities and support networks, challenging stereotypes of dependency. Furthermore, the perception of resilience is influenced by personality traits like relatedness, where individuals who focus on establishing meaningful relationships tend to exhibit higher resilience levels. Therefore, females with strong interpersonal connections and support systems may showcase greater resilience compared to those lacking such dependencies, highlighting the intricate relationship between interpersonal qualities and resilience levels.
Is there a connection between model order reduction and physics-informed machine learning?
5 answers
Model order reduction (MOR) and physics-informed machine learning (PIML) are interconnected in various studies. MOR techniques aim to efficiently forecast and control complex systems, while PIML leverages physics knowledge to enhance machine learning models. By incorporating physics-based constraints into machine learning algorithms, PIML enhances the accuracy of reduced-order models (ROMs). Physics-informed loss terms in training ROMs improve performance in data-scarce scenarios, and PIML algorithms can significantly increase ROM accuracy at a modest computational cost. Additionally, physics-based learning algorithms enable high accuracy and efficiency in simulating complex systems like quantum nanostructures. Therefore, the integration of physics principles into machine learning techniques plays a crucial role in advancing model order reduction methodologies.
What is values at work?
5 answers
Values at work refer to the core principles and beliefs that individuals hold and apply in their professional environments. These values play a crucial role in shaping how individuals perceive their work, fostering passion, commitment, dignity, and respect. Organisations focusing on values work aim to align these fundamental principles with their practices and services, ultimately bridging everyday actions with the organisational purpose. Values at work are not only ethical and moral but also social and cultural, deeply intertwined with factors promoting health and well-being globally. They are seen as essential for workers' overall well-being, positively impacting their health when acknowledged and respected, and negatively affecting it when disregarded or distorted. Values at work are dynamic and require ongoing attention and support to create a conducive and fulfilling work environment.
How does the interaction between activin, BMP, and SMAD signaling pathways contribute to primordial follicle activation?
5 answers
The interaction between activin, BMP, and SMAD signaling pathways plays a crucial role in primordial follicle activation. Activins, which signal through ALK4/ALK7-SMAD2/3 and sometimes ALK2-SMAD1/5, can activate both SMAD branches, providing a mechanism for fine-tuning cellular responses. Additionally, BMP4, a member of the BMP family, is essential for primordial follicle development, enhancing primordial-to-primary follicle transition and preventing oocyte apoptosis through the BMP4/SMAD signaling pathway. Furthermore, TGFβ signaling involving SMAD3, cyclin D2, and P27 influences the maintenance and activation of primordial follicles, with SMAD3 playing a concentration-dependent role in follicle growth and activation. These findings collectively highlight the intricate crosstalk between activin, BMP, and SMAD pathways in regulating primordial follicle activation and development.
What is the general approaches for reducing FWHM (full width at half maximum) of photoluminescence of organic materials?
6 answers
Reducing the Full Width at Half Maximum (FWHM) of photoluminescence in organic materials is crucial for enhancing the color purity and efficiency of organic light-emitting diodes (OLEDs). Various approaches have been identified across the literature to achieve this goal. One common strategy involves the development of organic electroluminescence compounds with improved photoluminescence (PL) quantum efficiency and reduced FWHM, as demonstrated by the invention of a specific organic electroluminescence compound that exhibits these characteristics. Similarly, the design of narrowband emitting fluorophores, such as the ICZ-TAZ compound, has shown potential in achieving narrowed UV emission with reduced FWHM, benefiting from the suppression of vibronic coupling. The structural design of OLED devices also plays a significant role. For instance, incorporating multiple emissive layers with distinct emitting and non-emitting materials can influence the photoluminescence properties, potentially reducing FWHM. Additionally, the use of black layers or lattices within the device structure to lower background luminescence from ambient sources indirectly contributes to the perceived purity of emitted light. The interaction between organic charge transporting materials and quantum dots has been studied, revealing that the photoluminescence intensity and FWHM can be modulated by adjusting the concentration of charge transporting materials. Moreover, innovative device architectures, such as the introduction of a mixing layer between the anode and the light-emitting layer, have been proposed to balance the hole and electron transmission rates, indirectly affecting the FWHM by optimizing recombination efficiency. Furthermore, the photoluminescence quenching effect of polymeric composites in the presence of nanoparticles has been explored, indicating that the quenching coefficient could serve as a criterion for selecting suitable materials for reducing FWHM. Lastly, the synthesis of lanthanide organic hybrid materials and the strategic arrangement of device components, such as the encapsulation structure and flexible printed circuits, have been investigated for their potential impacts on the photoluminescence characteristics of OLEDs, including FWHM reduction. In summary, reducing the FWHM of photoluminescence in organic materials involves a multifaceted approach, including the synthesis of specific compounds, device structural design, material selection, and the strategic modulation of photophysical interactions within the device.
How Environmental Taxes are measured?
5 answers
Environmental taxes are measured using various methods and frameworks. One approach involves analyzing the impact of environmental taxation on trade in environmental goods (EGs). Another method includes utilizing the SBM-GML index to measure industrial green total factor productivity and assessing the effect of environmental taxes on industrial green transformation. Additionally, a macroeconomic framework evaluates environmental investments by considering fiscal balance and the depreciation of environmental capital. Furthermore, a tax policy analysis framework is developed to evaluate the effectiveness of Environmental Tax Measures (ETMs) through expert assessments and consensus-building. Lastly, a methodological approach in Ukraine focuses on reflecting environmental taxes in the accounting system to improve the information base for reporting and pollution reduction planning by businesses.
How The Concept of Brand Love in Digital Contexts?
5 answers
Brand love in digital contexts is a multifaceted concept that plays a crucial role in customer-brand relationships. Studies show that online customer experience significantly influences relationship quality, ultimately leading to brand love. Furthermore, brand attachment and satisfaction positively impact brand love, which in turn influences brand loyalty and positive word of mouth in the automotive market. The origins of brand love are explicated through a holistic model, where factors like brand uniqueness, satisfaction, and personal experiences contribute to its development. Additionally, brand love in the context of brand pages is influenced by the sense of brand community, self-brand connection, and brand engagement in self-concept, ultimately leading to brand equity. These findings emphasize the importance of nurturing emotional connections and providing exceptional online experiences to foster brand love in digital environments.
How effective are AI-based methods in detecting water pipeline leakages compared to traditional methods?
5 answers
AI-based methods have shown superior effectiveness in detecting water pipeline leakages compared to traditional methods. Various studies have highlighted the advantages of AI techniques such as Graph Convolutional Neural Networks (GCN), convolutional neural networks (CNNs) and convolutional autoencoders (CAEs), and pseudo-siamese convolutional neural networks (PCNN). These AI models leverage deep learning to process raw signals directly, extract intricate patterns, and enhance feature representations for accurate leak detection. For instance, the GCN model achieved a high performance rate of 94% in leak prediction, outperforming the traditional Support Vector Machine (SVM) model. Similarly, the PCNN model demonstrated an accuracy of 99.70% in leak detection, surpassing other methods by effectively combining handcrafted features and deep representations. Overall, AI-based methods offer significant advancements in detecting water pipeline leakages with high precision and reliability.