Multidimensional Properties Research Articles

Computational study of hydrostatic pressure effect on MgSiO3 perovskite oxide for photocatalytic water splitting application

Despite the challenges of developing efficient photocatalysts for water splitting, we demonstrate that MgSiO3 perovskite oxide, under applied external stress, significantly enhances photocatalytic activity. The use of earth-abundant and low-cost photocatalysts for high-efficiency photocatalytic water splitting is extremely important. Using density functional (DFT) calculations, we present increased photocatalytic water splitting activity of MgSiO3 perovskite oxide by applying external stress. Our findings indicate that raising the concentrations of pressure can lower the lattice constants and volume of MgSiO3. An anisotropic elastic material with high stiffness that changes from brittle to ductile at high pressure (10–30 GPa). It is stable under various circumstances owing to its high Debye temperature, thermal conductivity, and melting temperature, all of which are thermodynamic properties. MgSiO₃ is an indirect bandgap (Γ →R) p-type semiconductor with a band gap energy is 2.627 eV at 0 GPa. However, the band gap energies increase as enhanced stress is confirmed by its electronic characteristics, making it appropriate for photocatalytic water-splitting applications. Strong anisotropy, effective light absorption, and reflective properties were revealed by optical investigations, which bode well for photocatalytic applications. Moreover, the optical conductivity suggests its potential for light amplification by showing a gain behavior in the visible light region. Crucially, because of its advantageous band-edge placements, MgSiO₃ shows great promise for photocatalytic water-splitting applications. This work paves the path for more investigation into effective water-splitting technologies by demonstrating the multidimensional properties and novel and inventive nature of MgSiO3 under high pressure, as well as by demonstrating its feasibility for a variety of photocatalytic applications.

PSO-based Quaternion Fourier Transform steganography: Enhancing imperceptibility and robustness through multi-dimensional frequency embedding

This paper presents a novel steganography technique using the Quaternion Fourier Transform (QFT) in the 4D frequency domain to enhance imperceptibility and robustness in digital image embedding. Steganography, the art of hiding information within media, faces challenges in balancing security, imperceptibility, and robustness. To address this, we leverage the multi-dimensional properties of quaternions, enabling the embedding of secret data in both grayscale and color images. For grayscale images, two quaternion dimensions are utilized for intensity and secret data, while for color images, all four dimensions are employed with one reserved for metadata. The research question centers on how to maximize spatial dispersion and color similarity while maintaining high imperceptibility and robustness against attacks. Experimental results show that the proposed method improves visual imperceptibility by more than 4 % and exhibits a 13 % increase in robustness against common steganalysis attacks compared to the best state-of-the-art existing technique. These advancements highlight the potential of this method for applications in secure communication, digital watermarking, and copyright protection. By combining the quaternion mathematical framework with a novel optimization strategy, this approach significantly improves upon traditional steganography methods.

Psilocybin-assisted psychotherapy as an ‘anti-distressant’ with multidimensional properties

Psilocybin-assisted psychotherapy as an ‘anti-distressant’ with multidimensional properties

Ultrafine Spatial Modulation of Diazapyrene-Based Two-Dimensional Conjugated Covalent Organic Frameworks.

Tailormade bottom-up synthesis of covalent organic frameworks (COFs) from various functional building blocks offer not only tunable topology and pore size but also multidimensional properties. High crystallinity is one of the prerequisites for their structures and associated physicochemical properties. Among different π-conjugated motifs for constructing COFs, pyrene-based tetragonal structures are effective in achieving highly ordered and crystalline states. In the present research, we demonstrated that the substitution of pyrene with 2,7-diazapyrene produces nearly "flat" structures of two-dimensional (2D) COF layers by controlling the torsional angle of linker molecules. Featuring finite pore diameters and excellent thermodynamic stability of ∼500 °C, ordered face-to-face (slipped AA) stacking arrangements were produced. Extended electrical conjugation spanning 2D frames with modest optical bandgaps (Eg) of ∼2.1 eV shows the planar character of diazapyrene-based COFs. The stacking of the conjugated 2D frames with small Eg values is also beneficial for the formation of highly stable conducting pathways in the crystalline state, which was confirmed by the results of the microwave conductivity measurements. Nitrogen centers in diazapyrene units also play a key role as the active sites for proton transfer, and the maximum proton conductivity of σ = 10-2 S cm-1 was achieved along the cocontinuous nanopore structures surrounded by the active sites. Results show that tetragonal COFs based on diazapyrene can be used as a highly crystalline two-dimensional material with special electrical and proton-conducting capabilities.

ДОКТРИНА ВЗАИМОСВЯЗЕЙ ЭЛЕМЕНТОВ КОНКУРЕНТОСПОСОБНОСТИ В ЦЕЛЯХ ОБЕСПЕЧЕНИЯ ИННОВАЦИОННОСТИ БИЗНЕС-СТРУКТУР В СФЕРЕ МЕБЕЛЬНОГО РЫНКА

The article examines the relationships between the elements of competitiveness in order to ensure the innovativeness of business structures. The doctrine, as a system of beliefs and basic principles, serves as the basis for developing a competitiveness strategy in order to enhance the competitive advantages of enterprises. Competitiveness is a multidimensional property, namely, product innovation, plays a big role in achieving a high status in a competitive market. It is necessary to study each element of competitiveness in order to ensure the innovativeness of business structures. Competition forces business structures to improve the quality of their products, use new product components, innovative technologies and innovations in design and sales systems. Business structures in the furniture market need to study the interrelationships of the elements of competitiveness and their impact on the final result. In order to substantiate the doctrine of the interrelations of elements to ensure the innovativeness of business structures, a quality management system for innovations of business structures in the furniture market was defined, built on the blocks of ensuring innovation and quality, quality management and quality improvement, including elements of competitiveness to ensure the innovativeness of business structures: development of a sustainable regulatory framework, creation of the most favorable investment climate and effective competition policy, promoting the innovative activities of business structures, simplifying barriers to doing business in the quality management system of innovations of business structures in the field furniture market. During the research, methods of structural, systemic and functional, quantitative and qualitative analysis, graphic and mathematical methods, and methods of structural and functional modeling were used.

Sexual and Gender Identity Properties and Associations With Physical and Mental Health Among SGM Midlife and Older Adults: Findings From Aging With Pride: National Health, Aging, and Sexuality/Gender Study

Objectives: Unidimensional measures of sexual and gender identity are most often used in research. Yet, sexuality and gender are defined by complex characteristics. Guided by the Health Equity Promotion Model, we assess multidimensional properties of sexual and gender identity. Methods: This study utilizes 2016 survey data from Aging with Pride: National Health, Aging, and Sexuality/Gender Study (NHAS) to investigate properties of identity (affirmation, visibility, centrality, integration, congruence, continua, transformation) and their association with multimorbidity, disability, general health, depression, quality of life among SGM adults ( N = 2233), 50 and older. Results: Higher affirmation, centrality, congruence, and transformation were associated with better health, while identity integration and continua were associated with some adverse health outcomes. Bisexual men, sexually diverse and transgender individuals had the lowest identity centrality and visibility. Discussion: The findings necessitate a multidimensional approach to identity and the use of measures that are comprehensive and responsive to sexual and gender diversity.

Exploring multi-dimensional properties: field emission and electrochemical response of MoS2 nanoflowers on carbon cloth

Exploring multi-dimensional properties: field emission and electrochemical response of MoS2 nanoflowers on carbon cloth

The influence of context on the conceptualization, measurement, and application of the concept of quality of life

AbstractThe influence of context on the conceptualization, measurement, and application of the quality of life concept was acknowledged in the principles contained within the original Quality of Life Consensus Document published in 2002 and validated in 2004. Since that time, there has been a substantial increase in our understanding of both the QOL construct and the multidimensional properties of context. The purpose of this article is to report on a multi‐step process conducted in 2019 by a group of international quality of life experts to review, critique, and update where necessary the QOL principles that were originally developed in 2002. Updated principles for conceptualization, measurement, and application are provided. An understanding of the role of context on the QOL concept allows for measurement guidelines to accompany the measurement principles, an understanding of the application conditions associated with a person‐ or family‐centered approach to QOL, and implementing guidelines regarding both the development of QOL‐related policies and practices and their monitoring and evaluation.

Conductive Gels for Energy Storage, Conversion, and Generation: Materials Design Strategies, Properties, and Applications.

Gel-based materials have garnered significant interest in recent years, primarily due to their remarkable structural flexibility, ease of modulation, and cost-effective synthesis methodologies. Specifically, polymer-based conductive gels, characterized by their unique conjugated structures incorporating both localized sigma and pi bonds, have emerged as materials of choice for a wide range of applications. These gels demonstrate an exceptional integration of solid and liquid phases within a three-dimensional matrix, further enhanced by the incorporation of conductive nanofillers. This unique composition endows them with a versatility that finds application across a diverse array of fields, including wearable energy devices, health monitoring systems, robotics, and devices designed for interactive human-body integration. The multifunctional nature of gel materials is evidenced by their inherent stretchability, self-healing capabilities, and conductivity (both ionic and electrical), alongside their multidimensional properties. However, the integration of these multidimensional properties into a single gel material, tailored to meet specific mechanical and chemical requirements across various applications, presents a significant challenge. This review aims to shed light on the current advancements in gel materials, with a particular focus on their application in various devices. Additionally, it critically assesses the limitations inherent in current material design strategies and proposes potential avenues for future research, particularly in the realm of conductive gels for energy applications.

Analyzing the Functional Interdependence of Verbal Behavior with Multiaxial Radar Charts

The functional analysis of complex verbal behavior requires an evaluation of topographically similar responses under multiple sources of control. Traditional graphical displays of behavior were designed to show the manipulation of isolated controlling variables and may not be amenable to displaying the multidimensional properties of complex behavior. Researchers have recently demonstrated the use of multiaxial radar charts for comparing the functional performance of biological systems. Here we extend the use of multidimensional analyses to compare the relative performance distributions of verbal behavior across four potential controlling variables. First, we provide a conceptual analysis of intraverbal and extraverbal control as continua along which stimuli range from formal to thematic and explain how the intersection of these stimulus fields creates a radar chart for multidimensional analysis. Then we demonstrate how data may be gathered through a verbal operant experimental analysis. We employed repeated measures to map the conditioning history of a child with autism spectrum disorder across 2 years of early intensive behavioral intervention and analyzed the results using shape descriptors for quantitative comparisons. We also compared the polygonal language profiles of children with autism against that of a neurotypical peer. Extending a multidimensional analysis to the field of verbal behavior provides the basis for a language growth chart that researchers and clinicians can use to monitor language acquisition over time. We discuss the use of radar charts as a framework for understanding the interdependence of verbal operants and suggest their use for complex analyses of complex verbal behavior.

An up-to-date review of biomedical applications of serratiopeptidase and its biobetter derivatives as a multi-potential metalloprotease.

Serratiopeptidase is a bacterial metalloprotease used in a variety of medical applications. The multidimensional properties of serratiopeptidase make it noticeable as a miraculous enzyme. Anti-coagulant, anti-inflammatory and anti-biofilm activity of serratiopeptidase making it useful in reducing pain and swelling associated with various conditions including arthritis, diabetes, cancer, swelling, pain and also thrombolytic disorders. It breaks down fibrin, thins the fluids formed during inflammation and due to its anti-biofilm activity, can be used in the combination of antibiotics to reduce development of antibiotic resistance. However, some drawbacks like sensitivity to environmental conditions and low penetration into cells due to its large size have limited its usage as a potent pharmaceutical agent. To overcome such limitations, improved versions of the enzyme were introduced using protein engineering in our previous studies. Novel functional serratiopeptidases with shorter length and higher stability have seemingly created a hope for using this enzyme as a more effective therapeutic enzyme. This review explains the structural properties and functional aspects of serratiopeptidase, its main characteristics and properties, pre-clinical and clinical applications of the enzyme, improved qualities of the modified forms, different formulations of the enzyme, and the potential future developments.

Enhanced Network Compression Through Tensor Decompositions and Pruning.

Network compression techniques that combine tensor decompositions and pruning have shown promise in leveraging the advantages of both strategies. In this work, we propose enhanced Network cOmpRession through TensOr decompositions and pruNing (NORTON), a novel method for network compression. NORTON introduces the concept of filter decomposition, enabling a more detailed decomposition of the network while preserving the weight's multidimensional properties. Our method incorporates a novel structured pruning approach, effectively integrating the decomposed model. Through extensive experiments on various architectures, benchmark datasets, and representative vision tasks, we demonstrate the usefulness of our method. NORTON achieves superior results compared to state-of-the-art (SOTA) techniques in terms of complexity and accuracy. Our code is also available for research purposes.

Higher-order clustering patterns in simplicial financial systems.

The interest in induced higher-order relational and multidimensional structures embedded in the financial complex dataset is considered within the applied algebraic topology framework. The aim is to transcend the binary correlations when the interactions of the underlying system are stored in the entries of the cross-correlation matrix. By applying different criteria, we examined aggregations of firms through higher-order clustering of the financial system. The outcome is the extraction of patterns that appear in assemblages of firms due to their multidimensional properties embedded in the cross-correlation matrices. Results are compatible with classifying firms into clusters due to the industry they belong to. Furthermore, the novel and mixed collections of firms are revealed based on the applied mathematical approach. In the broader context, results shed light on the higher-order organization of interactions embedded in the cross-correlation matrix and, as a consequence, extract patterns of collective behavior within a complex system.

Multidimensional social connectedness of sexual and gender minority midlife and older adults: Findings from the National Health, Aging, and Sexuality/Gender Study (NHAS).

This article introduces the multidimensional properties of social connectedness among sexual and gender minority (SGM) midlife and older adults and examines the relationship between these properties and general health. Data were analyzed from Aging With Pride: National, Aging, and Sexuality/Gender Study, including 2,450 SGM adults aged 50 and older in the United States. The structure, function, and quality of interpersonal relations as well as community-level activities and engagement were measured through a self-administered survey and an in-person interview. Findings indicated that SGM midlife and older adults, on average, had a large social network with high bridging potential and low density, consisting of more nonrelative family members than immediate family members. They also showed frequent availability of social support, moderate or higher satisfaction with interpersonal relations, and moderate SGM community engagement. Properties of social connectedness differed by gender, sexual identity, and gender identity, with SGM men, sexually diverse women, and transgender people showing distinct challenges in interpersonal relations. All aspects of social connectedness were positively associated with good general health, particularly network diversity, outdoor leisure activity engagement, and access to health-related decision support, controlling for age and chronic conditions. Care receiving and loneliness were negatively associated with good general health. Intervention development can target these factors to promote social and community connectivity and reduce the negative health effects of persistent social stressors. This study underscores the necessity of addressing all facets (i.e., structure, function, and quality) of interpersonal relations encompassing both immediate and chosen family as well as community-level social connectedness. (PsycInfo Database Record (c) 2024 APA, all rights reserved).

VIAMD: a Software for Visual Interactive Analysis of Molecular Dynamics.

The typical workflow in molecular dynamics (MD) analysis requires several separate tools, often resulting in a lack of synergy and interaction between the individual analysis steps. This article presents VIAMD, an application designed to address this issue by integrating a 3D visualization of molecular trajectories with flexible analysis components. VIAMD uses an interactive scripting interface, allowing for property definition and evaluation. The application provides context-aware suggestions and expression feedback through information and visualizations. The user-defined properties can be explored and analyzed through the various components. This enables correlation with spatial conformations, statistical analysis of distributions, and powerful aggregation of multidimensional properties such as spatial distribution functions. VIAMD has the potential to advance research in many scientific disciplines and is a promising solution for improving the workflow of MD visualization and analysis.

A framework for the description of multidimensional particle separation processes

Most unit operations that separate or sort particle collectives according to a primary property – like size or density – show the tendency to have their separation efficiency being influenced by one or more additional particle characteristics like shape or surface area. While many of these multidimensional properties of a separation process have been acknowledged, they have yet to be properly investigated.A framework is presented in which a separation process can be analyzed in two or more dimensions, i.e., along two or more characteristic particle properties. Examples of possible separation results are given and some ways to describe the separation efficiency in multiple dimensions are explained. While it is straightforward to extend the analytical expressions for grade efficiency to multidimensional problems, descriptors for separation efficiency like separation sharpness prove to be less useful. Entropy is shown to be an accessible alternative for the description of separation efficiency.

Feature extraction and classification of deep-sea mobile underwater acoustic channels

The reliable acoustic path (RAP) is one of the crucial channels for deep-sea sound propagation, which is affected weakly by the interface and has lower transmission loss, enabling long-distance communication. However, RAP-based deep-sea acoustic communication may face channel model mismatch issues. In order to analyze the dynamic characteristics of spatial-temporalvariability channels, deep-sea mobile underwater acoustic channel measurement experiments were conducted. This work proposes a deep learning method based on multi-dimensional properties to classify deep-sea channels. Specifically, the sound ray convergence zone leads to a complex multipath structure and severe delay spread in the RAP channel. The fuzzy c-means (FCM) algorithm is used for multipath clustering to extract accurate channel features, and then the Markov chain (MC) is introduced to track the evolution characteristics of multipath clusters. Finally, the coupling features of channel time-variant impulse response (TVIR) and multi-dimensionalstatistical properties are used as the input of convolutional neural networks (CNNs) to obtain the quantitative evaluation index as the channel classification to build a channel feature dataset for underwater mobile platforms. This dataset can effectively assist in identifying deep-sea mobile channels and promote the development of adaptive underwater acoustic communication systems on mobile platforms.

The voice of the profession: how the ethical demand is professionally refracted in the work of general practitioners

BackgroundAmong the myriad voices advocating diverging ideas of what general practice ought to be, none seem to adequately capture its ethical core. There is a paucity of attempts to integrate moral theory with empirical accounts of the embodied moral knowledge of GPs in order to inform a general normative theory of good general practice. In this article, we present an empirically grounded model of the professional morality of GPs, and discuss its implications in relation to ethical theories to see whether it might be sustainable as a general practice ethic.MethodsWe observed and interviewed sixteen GPs and GP residents working in health care centres in four Swedish regions between 2015–2017. In keeping with Straussian Grounded Theory, sampling was initially purposeful and later theoretically guided, and data generation, analysis and theoretical integration proceeded in parallel. The focal concept of this article was refined through multidimensional property supplementation.ResultsThe voice of the profession is one of four concepts in our emerging theory that attempt to capture various motives that affect GPs’ everyday moral decisionmaking. It reflects how GPs appreciate the situation by passing three professional–moral judgments: Shall I see what is before me, or take a bird’s-eye view? Shall I intervene, or stay my hand? And do I need to speak up, or should I rather shut up? By thus framing the problem, the GP narrows down the range of considerations, allowing them to focus on its morally most pertinent aspects. This process is best understood as a way of heeding Løgstrup’s ethical demand. Refracted through the lens of the GP’s professional understanding of life, the ethical demand gives rise to specific moral imperatives that may stand in opposition to the express wishes of the other, social norms, or the GP’s self-interest.ConclusionsThe voice of the profession makes sense of how GPs frame problematic situations in moral terms. It is coherent enough to be sustainable as a general practice ethic, and might be helpful in explaining why ethical decisions that GPs intuitively understand as justified, but for which social support is lacking, can nevertheless be legitimate.

Caregiver burden among family caregivers of patients with advanced cancer in a palliative context: A mixed-method study.

To examine the multidimensional properties of caregiver burden among family caregivers of patients with advanced cancer in a palliative context. A sequential, explanatory, mixed-method study was performed. Family caregivers of patients diagnosed with advanced cancer were recruited from a palliative care department of a third-level hospital in Sichuan Province, China. The Caregiver Burden Inventory, Social Support Rating Scale and Connor-Davidson Resilience Scale were used to collect quantitative data, and a total of 150 caregivers were recruited from January 2022 to September 2022. Qualitative data were collected through semi-structured interviews, and a total of 22 caregivers were interviewed from October 2022 to November 2022. Survey data were analysed using descriptive statistics, and the factors of caregiver burden were identified using the Mann-Whitney U test, Kruskal-Wallis H test and Spearman correlations. Interpretative phenomenological analysis was performed to analyse the interview data to initially explore the multidimensions of caregiver burden. The following-a-thread method and convergence coding matrix were used for triangulation to examine the multidimensional properties of caregiver burden. The participants experienced a moderate level of caregiver burden (32.97 ± 13.09). Through triangulation, six meta-themes and nine meta-subthemes were identified as multidimensional properties of caregiver burden, including physical (too many caring tasks and poor health condition), emotional (strong negative emotions resulting from patients' suffering and insufficient and ineffective family communication), social (less social interaction and social role conflict) and economic burdens, factors that aggravate burden (prevention and control of COVID-19 and spousal relationship with patients) and factors that mitigate burden (social support). Multiple dimensions of caregiver burden were experienced by family caregivers of patients with advanced cancer in the palliative context. Family-centred palliative care must be further developed. It is important to develop family-centred palliative care. Therefore, the focus must be on developing a rational understanding of palliative care in public and a culture-oriented death education in palliative units. This study adopted a mixed-method approach to comprehensively understand the phenomenon of and factors in caregiver burden in the Chinese palliative oncology context. Our findings suggest that family caregivers in palliative oncology experience a moderate level of caregiver burden, with dimensions including physical, emotional, social and economic burdens, among which emotional burden is the most prominent. The findings of this study provide policy makers and nurse practitioners with targets to be addressed in family-centred care in Chinese palliative units. The results of this study are reported based on the guidelines of the Mixed-Methods Article Reporting Standards. Eligible caregivers were invited to participate in the study and semi-structured interviews. Nurse managers of the palliative unit helped us access the patient-management system.

AN EXPLORATORY STUDY ABOUT AROHANA ANUVASANA BASTI MATRA FROM CLASSICS: A REVIEW

Panchakarma is a unique treatment modality with five specially designed procedures, vamana, virechana, asthapana vasti, anuvasana vasti and nasya where the body is purified internally through the nearest possible pathway. Out of these shodhana therapies, vasti is the most important constituent of panchakarma due to its multidimensional properties. The administration of either medicated oil (anuvasana) or herbal decoction (niruha) through the anal route with the help of vastiyanthra is generally termed vasti karma. Anuvasana vasti mainly contains sneha (unctuous substances) and does not produce any side effects. It can be done daily after taking food, hence the name anuvasana. According to Sushruta and Kashyapa, anuvasana is classified into three types, sneha vasti, anuvasana vasti and matra vasti based on the sneha matra used. It is indicated when Kapha and Pitta dosha are diminished when there is Vata prakopa and the pathology is localized in the pelvic region associated with malabandha. Arohana matra of anuvasana vasti mentioned in classics is studied in detail here.