Multidimensional - Science topic

This study delved into the dynamics of situational interest in PE within the higher education landscape of the Philippines, elucidating how SI can catalyze student engagement. 1,096 first- and second-year students participated by answering self-report instruments measuring situational interest and study engagement. Key findings highlight that speci...

Mycotoxins, secondary fungal metabolites of low-dose toxicity, are unambiguous food and feed contaminants considered to be one of the most important chronic dietary risk factors, causing toxicity syndromes as a result of their intake, which is known as mycotoxicosis. Currently available methods for mycotoxin reduction and detoxification include con...

The concept of "sense of place" refers to an individual’s subjective perception and emotional attachment to a specific geographic location. It encompasses a multidimensional and complex experience that is influenced by various social, cultural, historical, and ecological factors. However, the increasing prevalence of hybrid and location-flexible...

Research on the consequences of residential mobility for educational outcomes is inconclusive about when and for whom moving is detrimental or beneficial. Whether moving during childhood impacts educational attainment depends on how often, how far and at which age one moves; and on whether the neighbourhood conditions improve or decline with the mo...

Generative artificial intelligence (AI) represents an increasingly popular topic that is visible even in most research areas within the social sciences and humanities fields. However, little attention has been paid to the knowledge dimensions reflecting the potential macro-social implications of generative technologies. This study utilizes a twofol...

Deep learning models play a vital role in high-precision solar radiation prediction, leveraging their exceptional capabilities in capturing intricate relationships between input and output parameters. Due to the temporal dependence of solar radiation sequences and complexity of multidimensional variations, however, conventional deep learning models...

This paper builds upon the foundational advancements introduced in [26,39-43]. The Neutrosophic Set provides a versatile mathematical framework for addressing uncertainty through its three membership functions: truth, indeterminacy, and falsity [84]. Extensions such as the Hyperneutrosophic Set and the SuperHyperneutrosophic Set have been recently...

This paper builds on the foundational advancements introduced in [22, 29-32]. The Neutrosophic Set provides a flexible mathematical framework for managing uncertainty by utilizing three membership functions: truth, indeterminacy, and falsity. Recent extensions, such as the HyperNeutrosophic Set and the SuperHy-perNeutrosophic Set, have been develop...

This paper builds upon the foundational advancements introduced in [14, 25-27]. The Neutrosophic Set offers a versatile mathematical framework for addressing uncertainty through its three membership functions: truth, indeterminacy, and falsity. Extensions such as the Hyperneutrosophic Set and the SuperHyperneutrosophic Set have been recently propos...

This paper builds upon the foundational work presented in [38-40]. The Neutrosophic Set provides a comprehensive mathematical framework for managing uncertainty, defined by three membership functions: truth, indeterminacy, and falsity. Recent advancements have introduced extensions such as the Hyperneutrosophic Set and the SuperHyperneutrosophic Se...

This paper builds upon the foundation established in [50, 51]. The Neutrosophic Set provides a robust mathematical framework for handling uncertainty, defined by three membership functions: truth, indeterminacy, and falsity. Recent developments have introduced extensions such as the Hyperneutrosophic Set and SuperHyper-neutrosophic Set to tackle in...

This paper is a continuation of the work presented in [35]. The Neutrosophic Set provides a mathematical framework for managing uncertainty, characterized by three membership functions: truth, indeterminacy, and falsity. Recent advancements have introduced extensions such as the Hyperneutrosophic Set and SuperHyper-neutrosophic Set to address more...

This study was conducted to determine the effects of design-based learning (DBL) on students' spatial thinking skills in architectural design education. Spatial thinking skills are of great importance in the architectural design process for architecture students to perceive and comprehend both the surrounding architectural spaces and the architectu...

Urban comfort is a means of measuring the dynamic quality of urban life as an outcome of the interaction between humans and urban environments, capturing spatio-temporal phenomena in cities. We design a multidimensional urban comfort framework encompassing 44 features, to comprehensively represent urban living environments, based on 3D urban morpho...

In this article, we formulate a hybrid model that allows to identify the triggers of instant utilities using psychophysiological indicators (PPIs). Instant utilities are understood as momentary emotions perceived in every instant of an experience. We build the model using transport and environmental variables associated with the experience to expla...

Purpose Radiotherapy (RT) for oropharyngeal cancer (OPC) can lead to late toxicity. Fatigue is a known debilitating issue for many cancer survivors, yet prevalence and severity of long-term fatigue in patients treated for OPC is unknown. Method As part of a mixed-methods study, fatigue in OPC patients ≥ 2 years post RT + / − chemotherapy was evalu...

Brane-Anti-Brane Inflation proposes a model for the early universe's rapid expansion, motivated by string theory. In this framework, our universe is described as a brane (a multidimensional object) embedded within a higher-dimensional space. The brane-anti-brane system, consisting of a brane and its corresponding anti-brane, can give rise to inflat...

The aim of this paper is to apply polynomial approximation by sums of squares in several real variables to the multidimensional moment problem. The general idea is to approximate any element of the positive cone of the involved function space with sums whose terms are squares of polynomials. First, approximations on a Cartesian product of intervals...

L'étude sur l'analyse de l'efficacité de l'aide publique au développement demeure intéressante en ce sens qu'elle offre la possibilité aux chercheurs et économistes non seulement d'apporter une contribution à la science, mais elle permet aussi qu'ils fixent leur position quant à cette problématique et faire la lumière sur cette épineuse question qu...

This study investigates the adaptation and validation of Turkey’s Cognitive Style and Learning Style Inventories, highlighting cultural and educational impacts on cognitive and learning styles. By utilising SPSS and the Multidimensional Item Response Theory via R programming, this study assesses these tools among the 185 Turkish participants. A key...

Purpose The self is a multidimensional concept that can be represented at a pre-reflective (first-order) level, at a deeper, reflective level (second-order), or even at a meta-level (representing one’s own thoughts, i.e. self-related mentalizing). Since self-related processing and mentalizing are crucial for social cognition, both constructs have b...

Peer victimization is a risk factor for multiple behavioral problems in adolescents. However, there is limited understanding of how peer victimization can trigger externalizing problems in adolescents. Therefore, the present study explored the link between peer victimization and externalizing behaviors among Chinese adolescents, including the possi...

Objective: Adolescence is one of the most neglected developmental phases, yet there are few phases in the life course when gender socialisation is as intense. So far, no framework or theory exists that theoretically conceptualises gender norms, gender attitudes and mental health outcomes. To address this gap, we aim to develop a conceptual framewor...

Embodiment theories postulate that language processing inherently engages the sensorimotor system. This study explores the embodiment of action verbs in the second language (L2) and the effects of various L2 experiences (L2 age of acquisition, exposure, dominance, and proficiency) on L2 embodiment. Sixty-one Chinese–English bilinguals participated...

Dynamic models of aggregate public opinion are increasingly popular, but to date they have been restricted to unidimensional latent traits. This is problematic because in many domains the structure of mass preferences is multidimensional. We address this limitation by deriving a multidimensional ordinal dynamic group-level item response theory (MOD...

This study focused on the amounts and types of waste which are producing environmental pollution problems, discarded during the construction phase of the buildings. In this context, the research was carried out with a multidimensional perspective covering different disciplinary fields such as ecological awareness, sustainability, architectural prac...

Since traditional uniaxial strain sensors constructed from isotropic materials mainly focus on identifying strain amplitude without the information of strain direction, multidimensional strain sensors are critical for capturing complex movements, such as human motions. Here, we propose a highly sensitive, stretchable, and transparent multidirection...

The recent upsurge of populist movements has radicalized the boundaries of belonging into an identity of us versus them, their space, and our space, leading to the enforcement of prejudiced policies and violent militaristic measures against those seen as social, political, racial, ethnic or even sexual outsiders. In this process of nation-building...

Purpose Advances in cancer treatment have increased childhood cancer patient’s survival rates. However, many childhood cancer survivors (CCS) face long-term effects such as fatigue. This study assessed fatigue in CCS and healthy controls (HCs), its contributors, and associated outcomes. Methods This cross-sectional study included 90 CCS and 55 age...

In clinical movement biomechanics, kinematic measurements are collected to characterise the motion of articulating joints and investigate how different factors influence movement patterns. Representative time-series signals are calculated to encapsulate (complex and multidimensional) kinematic datasets succinctly. Exacerbated by numerous difficulti...

Video instance segmentation (VIS) is plagued by the high cost of pixel-level annotation and defects of weakly supervised segmentation, leading to the urgent need for a trade-off between annotation cost and performance. We propose a novel In-Depth Collaboratively Supervised video instance segmentation (IDCS) with efficient training. A collaborative...

Biological neural systems seamlessly integrate perception and action, a feat not efficiently replicated in current physically separated designs of neural-imitating electronics. This segregation hinders coordination and functionality within the neuromorphic system. Here, we present a flexible device tailored for neuromorphic computation and muscle a...

Background The psychometric properties of the Convergence Insufficiency Symptom Survey (CISS) have been previously determined across the younger adult population. This study investigated the psychometric properties of the CISS in presbyopic adults via classical and Rasch analysis. Methods A total of 100 presbyopic individuals (40–60 years) were se...

The Anxiety about Aging Scale (AAS) was developed by Lasher and Faulkender emphasizing a multidimensional approach to aging anxiety and addressing conceptual and psycho-metric issues of similar tools. Today this scale is one of the most used measures that allow to assess aging anxiety among younger and older populations. This study aimed to test th...

Rapid advances in vaccine technology are becoming increasingly important in tackling global health crises caused by respiratory virus infections. While traditional vaccines, primarily administered by intramuscular injection, have proven effective, they often fail to provide the broad upper respiratory tract mucosal immunity, which is urgently neede...

As desigualdades sociais, reconhecidas como diferenças vitais, materiais e existenciais entre indivíduos e grupos, consistem em um fenômeno dinâmico e multidimensional. A redução dos impactos gerados pelas desigualdades é um dos Objetivos do Desenvolvimento Sustentável (ODS) da Agenda 2030, sendo necessárias iniciativas para o seu alcance, dentre e...

The development of diverse microstructures has substantially contributed to recent progress in high‐performance electromagnetic wave (EMW) absorption materials, providing a versatile platform for the modulation of absorption properties. Exploring multidimensional microstructures and developing tailored and gentle strategies for their precise optimi...

Some platforms in the collaborative economy offer a combination of sectoral and information society services, which characterises them as a hybrid entity. The concurrent provision of disparate types of services necessitates the determination of the predominant activity of a given platform on a case-by-case basis. This, in turn, gives rise to legal...

Technical innovation is a key factor influencing the supply of critical mineral. Past scholars have often overlooked the time lag effect of technological innovation and the heterogeneity and correlation of different technologies. Focusing on the critical mineral cobalt, this study combines social network analysis and the ARIMAX method to investigat...

The fine-grained mining and construction of semantic associations within multimodal intangible cultural heritage (ICH) resources are crucial for deepening our understanding of their knowledge content and ensuring their systematic protection and transmission in the digital and intelligent era. This paper addresses the urgent need for the digital pre...

Este artículo aborda la importancia de una política criminal efectiva, para gestionar la delincuencia y garantizar la seguridad pública en la sociedad panameña. A través de una revisión crítica de las estrategias contemporáneas, se exploran las dimensiones teóricas y prácticas que sustentan las políticas públicas en este ámbito, haciendo énfasis en...

This study investigates ChatGPT’s perspectives on coding education for preschool children to provide a comprehensive understanding that is valuable for educators in early childhood education. An instrumental case study approach was employed, utilizing qualitative research design and case study methods. Data were gathered using a structured intervie...

Plant invasions pose significant threats to native ecosystems, human health, and global economies. However, the complex and multidimensional nature of factors influencing plant invasions makes it challenging to predict and interpret their invasion success accurately. Using a robust machine learning algorithm, random forest, and an extensive suite o...

This study explores a combination of Sustainable Human Resource Management and Artificial Intelligence on employee well-being with a view to improving employee engagement for workers in Greater Jakarta, Indonesia. We applied Chi-Square and Rasch Model analyses on data collected from a cross-sectional survey of 366 employees. The results yield signi...

Este artigo discute a inclusão de Pessoas com Deficiência (PCDs) no mercado de trabalho e nas organizações, onde desde a definição de "deficiente" pela ONU em 1975 até a Lei Brasileira de Inclusão (Lei nº 13.146/2015), a percepção e tratamento das PCDs evoluíram significativamente. A inclusão efetiva vai além da conformidade legal, exigindo mudança...

Seismic facies interpretation plays a vital role in oil and gas exploration and production. However, traditional methods, such as trace inversion and manual interpretation, are often time-consuming and labor-intensive. In recent years, deep learning algorithms have emerged as promising and efficient tools for facies identification with 3D seismic d...

The way farm viability is defined and conceptualized has become increasingly incongruent with the way that small-scale farmers make a living, as their livelihood strategies have evolved and changed in response to broad structural changes over the past several decades. Farm viability is typically defined as meeting the income needs of the farm famil...

This study focuses on the Jilin region of China, conducting a multidimensional assessment of the current state of the synergistic development between Intangible Cultural Heritage (ICH) and the tourism industry in the area. The objective is to explore the issues surrounding the coordinated development of ICH and the tourism sector. The findings are...

Background/Objectives: This study aimed to develop a questionnaire to describe and diagnose the physical activity and sport (PAS) habits of 8–12-year-old schoolchildren, assessing its content, ecological validity and reliability, from a multidimensional perspective aligned with Global Matrix 4.0 indicators. Methods: The questionnaire design phase i...

This paper proposes a multidimensional vulnerability index for a setting of protracted conflict, which is applied to study the relationship between financial vulnerability and catastrophic healthcare expenditure (CHE) incidence in the Occupied Palestinian Territory in 2018. We find that our index better captures the extent of financial risk protect...

Resumen La investigación aborda el estado nutricional de los escolares en Azuay, Ecuador, en base a referencias locales y las normas de la OMS 2007. Se realizó un estudio observacional, retrospectivo y descriptivo de corte transversal con una muestra de 397 escolares, se utilizaron datos del INEC para evaluar los indicadores antropométricos de peso...

The Queue-Reactive model introduced by Huang et al. (2015) has become a standard tool for limit order book modeling, widely adopted by both researchers and practitioners for its simplicity and effectiveness. We present the Multidimensional Deep Queue-Reactive (MDQR) model, which extends this framework in three ways: it relaxes the assumption of que...

Sustainable development aspires to “leave no one behind”¹. Even so, limited attention has been paid to small-scale fisheries (SSF) and their importance in eradicating poverty, hunger and malnutrition. Through a collaborative and multidimensional data-driven approach, we have estimated that SSF provide at least 40% (37.3 million tonnes) of global fi...

Background Enhancing and maintaining well-being is of great importance for university students to improve their future lives. Therefore, determining the factors that promote well-being is essential. This study aimed to examine the mediating roles of optimism and pessimism in the association between future anxiety and well-being after controlling ge...

Background: Fatigue is a prevalent and complex condition with significant impacts on well-being. Existing fatigue assessments often lack comprehensiveness or practicality for general population studies. Methods: This study validated the REST Questionnaire, a novel fatigue assessment tool, in a sample of 268 adults. Psychometric properties, includin...

Objectives Grounded in the Health Empowerment Model, which posits that health literacy and patient empowerment are intertwined yet distinct constructs, this study investigates how the interplay of these factors influences attitudes toward seeking professional psychological help in members of online communities for mental health (OCMHs). This while...

Makalah ini mengeksplorasi hubungan multidimensional antara Yayasan (Pendidikan) Kanisius (YK) dan Keuskupan Agung Semarang (KAS), dengan menyoroti tantangan operasional dan relasional dalam kerangka pendidikan Katolik. Berdasarkan pengalaman penulis di YK Cabang Surakarta, studi ini menguraikan misi dasar YK untuk menyediakan pendidikan Katolik ya...

Context. Typical uncertainties of ages determined for single star giants from isochrone fitting using single-epoch spectroscopy and photometry without any additional constraints are 30-50 %. Binary systems, particularly double-lined spectroscopic (SB2) binaries, provide an opportunity to study the intricacies of internal stellar physics and better...

The United States identifies, monitors, and defends a vast network of controlled airspaces surrounding its own and allied territories. These controlled airspaces include civilian aviation classes (A through G), drone flying regions, and special use (military) air classifications. These controlled spaces are invisible to the naked eye and often go u...

Backgrounds Poverty is a complex and multifaceted global public health issue, particularly prevalent in Ethiopia, including the East Gojjam Zone. Previous studies on poverty have largely relied on unidimensional measures, providing limited evidence on multidimensional poverty (MP). Therefore, this study tried to assess the prevalence and identify t...

This study examines the potential of Universal Basic Income (UBI) in Mexico, using the Pension for the Well-being of Older Adults (PBPAM) as a case study. The objective is to analyze how the PBPAM could serve as a precedent and model for implementing a broader UBI in the country. The methodology combines qualitative and quantitative analysis, inclu...

Introduction: Reducing poverty through crop commercialization is one of the antipoverty efforts that helps promote health. This study explored the prevalence and the causal relationship between crop commercialization and rural Ethiopian households’ multidimensional poverty using multilevel data. Methods: The study uses data from the most recent nat...

Loneliness is a common subjective condition that is associated with distress and negative outcomes for psychosocial functioning and well-being, and it is grounded in destructive or inadequate social functioning. Social interactions are considered one of the key factors determining loneliness, and similarly to social interactions, loneliness can occ...

In the ever-competitive telecommunications landscape, acquiring new customers hinges on identifying their precise locations. This study investigates how Pakistan's leading telecommunications provider, PTCL, employed an innovative geo-marketing approach to pinpoint optimal locations for new customer service centers in Islamabad. The study integrates...

The symbiosis between mycorrhizae and plant roots is essential for plant establishment in nearly all terrestrial ecosystems. However, the role of mycorrhizal colonization (colM) in shaping root ecological strategies remains poorly understood. Emerging research identifies colM as a key trait influencing the multidimensional covariation of root trait...

As a new economic form driven and empowered by digital technology, the development of the digital economy has become a crucial pathway for boosting the advancement of new quality productive forces. This study employs the entropy method to measure the comprehensive evaluation index system for both the digital economy and new quality productive force...

UAV small object detection has essential applications in the military, search and rescue, and smart cities, providing critical support for target recognition in complex environments. However, the existing UAV small object detection models usually have many parameters and high computational complexity, limiting their deployment and application in pr...

With the increasing complexity of power systems and higher demands for stability, accurately predicting current fluctuations is crucial. This study proposes an artificial intelligence prediction method combined with multivariate analysis, utilizing multidimensional information such as historical current data, new energy generation output, and meteo...

As the impact of the pandemic gradually weakens, the global economy has entered a downturn period. However, cultural consumption, especially the concert market, has shown a strong trend of recovery. Concerts, as a unique outlet for emotional release, carry the expectations of countless people. The shocking music and gorgeous stages bring people unp...

Media is a powerful player in the thrust for justice by serving as tool for Transparency and Accountability. This review article explores Multidimensional influence of media in the quest to secure rights of last man on the earth to achieve SDG 16. This article includes historical perspective, Contemporary Challenges and Future prospects to examine...

Nowadays, one of the main axes of study of modern journalism is the participation of the public in the news production process, which is complex and multidimensional. The concept of public participation in the production of news is defined as the action taken by the public to influence the content of the news through their intentional actions. The...

Addressing the issues of inadequate information exchange among subsequences in the operational time series of water injection pumps, leading to low accuracy and high false alarm rates in anomaly detection, this paper proposes a multidimensional time series anomaly detection method for water injection pump operations, leveraging Long Short-Term Memo...

In a previous publication [S. E. Schrader et al., J. Chem. Phys. 161, 044105 (2024)], it has been shown that Rothe’s method can be used to solve the time-dependent Schrödinger equation for the hydrogen atom in a strong laser field using time-dependent Gaussian wave packets. Here, we generalize these results, showing that Rothe’s method can propagat...

Thermal safety remains a critical concern in the commercialization of lithium-ion batteries (LIBs), with extensive research dedicated to understanding the thermal behaviors of cathode materials. While a wealth of thermochemical test data is available in the literature, the variability in sample conditions and experimental testing parameters complic...