Multidimensional Applications Research Articles

Three‐Photon Upconversion Luminescence of Gd2O2S: Ho3+, Er3+ for High‐Sensitivity FIR Thermometer and Multimode Anti‐Counterfeiting

AbstractThe performance control and multidimensional applications of upconversion phosphor have become the hotspot and difficulty in current research and application due to the complex luminescence mechanism. Based on the efficient Gd2O2S: Er3+ upconversion luminescence of 1550 nm excitation and design strategy for co‐doped materials, the multicolor (light green to red) and multifunctional upconversion phosphor Gd2O2S: Er3+, Ho3+ is successfully prepared. Benefiting from the clear mechanism of three‐photon upconversion and energy transfer after co‐doping, the novel applications of Gd2O2S: Er3+, Ho3+ can greatly be expanded. This phosphor can be well used as a fluorescence thermometer due to the higher sensitivity (2.46% K−1@170 K), wider temperature sensing range (170–267 K, Sr > 1% K−1), and greater color variation (Δx = 0.2416, Δy = 0.2483) relative to Gd2O2S: Er3+ and other same type of material. In addition, multiple patterns and encoded outputs are also effectively achieved by the combination of phosphors under multiple light stimuli response. This shows the greater application potential of phosphor in the fields of anti‐counterfeiting and information encryption. This study can also provide a new view to study the more high‐performance and multifunctional upconversion phosphor.

Multidimensional Applications of Remote Sensing Technology in Land Use Monitoring and Efficacy Analysis

This article delves into the multidimensional applications of remote sensing technology in land use monitoring and its efficacy. It begins by emphasizing the importance of land resources and the pivotal role of remote sensing technology in monitoring land cover and land use changes. The article then analyzes the application of multi-source remote sensing data, including satellite and aerial remote sensing data, and their use in monitoring at different temporal and spatial scales. The article also examines the accuracy assessment of remote sensing monitoring, factors affecting efficacy, and cost-benefit analysis. Furthermore, it explores the synergistic application of remote sensing technology with GIS and GPS, and summarizes the research findings. Finally, the article points out the deficiencies and limitations of the study and proposes future development trends and research directions.

Chromatin inspired bio-condensation between biomass DNA and guanosine monophosphate produces all-nucleic hydrogel as a hydrotropic drug carrier

The integration of biomolecules into supramolecular nanostructures forms the basis of the natural world. Naturally occurring liquid-liquid phase separation resulting in biomolecular condensates has inspired the formation of biomolecule-based smart materials with multi-dimensional applications. A non-covalent bio-condensation between biomass DNA and guanosine monophosphate (GMP) has been described, mimicking chromatin folding and creating a unique “all-nucleic” DNA-GMP condensates. These condensates initiate the formation of G-quadruplex-based superstructures, assembling into super-helical fibres driven by synergistic hydrogen bonding and stacking, which have been thoroughly investigated. This simple, one-step method for the bio-condensation of biomass DNA leads to an “all-nucleic” hydrogel with higher-order self-assembly and excellent mechanical properties. While most of the reported DNA based biomaterials, including hydrogels, require precisely sequenced and molecularly architectured DNA building blocks, we have developed a simple, universal, and facile bio-condensation method that utilizes biomass DNA acquired from any bio-resource to fabricate DNA hydrogels. The hydrogel efficiently encapsulates and sustains the release of both hydrophilic and hydrophobic drugs, demonstrating its competency as a drug carrier. We believe this energy-efficient and low-cost method represents a new technique for using biomass DNA as building blocks for the next generation of soft materials.

Assessment of chronic pain: multidimensional tools, applicability, and practicality

Introduction: Chronic pain (CP) negatively impacts patients’ physical and psychological status. Thus, it has the potential to affect every aspect of everyday life. In Portugal, CP is a major public health problem that affects roughly 36.7% of adults. Nevertheless, assessment of this condition is still far from ideal. A Portuguese study showed that most of last year’s medical students and first-year residents did not routinely assess pain. Additionally, the best-known pain assessment tools are the ones that focus only on pain intensity, thus disregarding the multidimensional nature of pain. Objectives: This study aims to review pain assessment tools that consider the nature of pain and its impact on patients' functionality. The ultimate goal is to increase the knowledge and dissemination of such tools. Methods: Focus groups were conducted with a panel of 29 Portuguese physicians specialized in family medicine and orthopaedics. Several pain assessment tools were debated regarding applicability, practicality, and relevance. After group discussion, five pain assessment tools were considered particularly relevant. Results: The characteristics, advantages, and disadvantages of five pain assessment tools (ACT-UP, CAPA, Barthel index, BPI, and EQ-5D), and the need for their applicability in the family medicine clinical practice are summarized and highlighted. Functional assessment of CP patients is a key step to deciding the most adequate treatment regimen since the individual nature of patients will cause them to be differently affected by distinct limitations, even if the intensity of pain is similar. Conclusion: The implementation use of these tools in clinical practice will be crucial for the improvement of CP management.

Geo-Hydrobiology and Geoinformatics Mapping of Ethnobotany in the Gandhamardan Hills, Odisha, India

Objective: The Gandhamardan Hills (GMH)range is a group of small mountains in Peninsular India in Balangir district in Odisha state in India. There is uniqueness in geology, geography, geomorphology, climatology, Hydrology, petrology, and lithology. The lithology, soil, water, geomorphology, and traditional use of plants in Ayurveda (India) have holistic medicinal/surgery. origin. Geo-hydro-biological amalgamation through Geological Information Systems (GIS) and chemical analysis is still being explored, and the present research emphasises such studies. Methods: Data about geo-hydro-biology through grapy, geology, geomorphology, hydrology, and traditional medicinal practices are implored from literature sources, using TOPO and Q-GIS maps and ERDAS software; their analytical interpretations were reported. The chemical analysis was conducted using X-ray fluorescence spectrometric studies of the water and soil of GMH, and the exuberance of ethnobotanical species in GMH was correlated. Results Laboratory analysis, literature studies, and interaction with Ayurvedic and Kaviraj practitioners, 154 popular species databases with their pharmacological applications reported for ordinary people. Many species have multidimensional applications that can transform Ayurveda into Materia medica. Conclusion: This ethnobotanical study documented the use of plants by the local community. The natural medicinal plants are cheap for the rural communities. The information gathered can be used for further scientific investigation to develop new commercial plant-based medicines as they will be safer than synthetic drugs. SDGs 1 to 3 and 12, 13, and 15 will be satisfied if we can conserve and adequately manage the hub of medicinal plants in GMH.

Development and validation of the Thai Halitosis Associated Life-Quality Test (T-HALT): an evaluation of psychometric properties.

Halitosis appears to have significant impacts on quality of life, necessitating reliable assessment tools. The Halitosis Associated Life-Quality Test (HALT) has been validated in various populations, but not among Thai people. While HALT provides a valuable foundation, there is a need for a culturally adapted and expanded instrument for the Thai context. Consequently, this study aimed to develop and validate a comprehensive questionnaire for assessing halitosis-related quality of life in Thai populations, incorporating a Thai version of HALT (T-HALT) as a core component. This cross-sectional study involved 200 dental patients at Mahidol University. The original HALT was translated into Thai using forward-backward translation. Cultural adaptation and psychometric properties of T-HALT were evaluated through multiple approaches. Content validity was ensured through expert reviews, while face validity was assessed by patient feedback. Reliability was examined via test-retest and internal consistency measures. Criterion and discriminant validity was evaluated by correlating T-HALT scores with self-perceived halitosis and volatile sulfur compound (VSC) measurements, respectively. VSCs were quantified using the OralChroma™ device, which analyzes breath samples collected directly from patients' mouths. Construct validity was assessed through exploratory (EFA) and confirmatory factor analysis (CFA), providing insights into the questionnaire's underlying structure. T-HALT demonstrated excellent internal consistency (Cronbach's alphas = 0.940-0.943) and test-retest reliability (ICC = 0.886). Criterion validity was supported by a significant correlation between T-HALT scores and self-perceived halitosis (r = 0.503, P < 0.001). Discriminant validity was confirmed by the absence of a significant correlation between T-HALT scores and VSC levels (r = 0.071, P = 0.32). EFA revealed a four-factor structure, which was subsequently confirmed by CFA. However, Items 1 and 7 were excluded due to poor standardized factor loadings. T-HALT demonstrates good reliability and validity for assessing halitosis-related quality of life in Thai populations. It performs well as a unidimensional measure, but its multidimensional application requires modifications. Future research should validate a modified version excluding Items 1 and 7 across diverse Thai populations, potentially enhancing its cultural specificity.

Multifunctional BiOCl: Sm3+ nanophosphors: A luminescent platform for solid-state lighting applications, optical thermometry, photocatalytic and forensic applications

Rare-earth-activated phosphor materials have been widely used as active probes in optical materials for multidimensional applications. Here, we report a series of ultrahigh purity orange-red emitting BiOCl: xSm3+ (x = 0.5- 2.5 mol %) nanophosphors synthesized via conventional solid-state method at relatively low temperatures for various photonic and forensic applications. XRD and Rietveld refinement results confirmed the tetragonal crystal structure of the synthesized phosphor materials with space group P4/nmm. Fourier transform infrared (FT-IR) and Raman spectroscopy were used to perform the functional group analysis. The UV–Vis–NIR spectra were analyzed to determine the Judd-Ofelt (JO) intensity parameters (Ω2, Ω4, Ω6) and to identify the bonding structure and spontaneous emission properties of the samples. The prepared phosphors exhibit intense orange-red emission under 408 nm excitation and beyond 1 mol% doping of Sm3+ ions, the emission intensity decreases due to concentration quenching mechanism via, dipole-dipole interaction between the optically active Sm3+ ions in the phosphor sample. The synthesized BiOCl: Sm3+ nanophosphors possess low correlated color temperature (CCT), admirable high color purity (99.4 %) and outstanding internal quantum efficiency (IQE) of 95.27 %. The optical thermometry behavior of the optimized sample has been investigated in detail. Moreover, the optimized nanophosphor stains on porous and non-porous surfaces show clear ridge patterns with high sensitivity, efficiency, and minimal background hindrance for latent fingerprints and lip print detection in forensic applications and are used as security ink in anti-counterfeiting applications. Overall, the results revealed the potential prospects of BiOCl: Sm3+ nanophosphors in the field of display applications, optical thermometry, and forensic sciences.

Smart fabrication of CaFe2O4 using water in-solution organic fuels via facial combustion route and its multidimensional application in dye elimination

In the present work, successive nanomagnetic-porous CaFe2O4 (CFO) fabrication was achieved using pioneer water-insoluble organic fuels in the sustainable combustion technique and examined to eliminate hazardous Acid Fuchsin (AF) dye from simulated wastewater. The synthesized CFO samples exhibit miscellaneous morphology, including rock-strewn sharp-edge cubic to porous honeycomb particles examined by FESEM analysis. The CFO shows a high surface area (36.7 to 71.2 m2/g), orthorhombic structure, and superparamagnetic nature (magnetic saturation 19.5 to 24.6 emu/g). The AF adsorption mechanism was investigated through isotherm and kinetic study, wherein the Langmuir model and the pseudo-second-order (PSO) kinetic model describe the AF adsorption. The Langmuir maximum monolayer adsorption capacity was found to be 1083 to 2505 mg/g for F1-CFO to F4-CFO (F1-F4 represent fuel 1 – fuel 4) adsorbents. However, the Intraparticle diffusion model (IPDM) shows the multi-linearity plot, suggesting that more than two mechanisms were involved in the adsorption process. The adsorption rate suggests that the morphology of the adsorbent mainly influences the adsorption process. The PSO rate constant was found to be 6.96E-05, 1.00E-04, 1.28E-04, and 1.59E-04 g/mg min-1for F1-CFO, F2-CFO, F3-CFO, and F4-CFO respectively. Innovative visible-light aided photocatalytic regeneration approach effectively generates (heterogeneous activation H2O2) exhausted adsorbents up to eight consecutive cycles: the manifold efficiency and facile magnetic isolation of CFO nanomaterial directed to the sustainable solution in environmental remediation.

Are We There Yet? Is There Such a Thing as an Expert Calibration System for Vibrational Spectroscopy?

The development of an expert calibration system (ECS) for spectroscopic-based process analytical chemistry would be a significant advancement aimed at automating the creation of high-quality calibration models for standard zero-order and first-order calibrations as well as multidimensional imaging applications. The concept of ECS would seek to reduce the reliance on users’ extensive knowledge of chemometrics all the while leveraging their domain knowledge and understanding of specific sample physical and chemical properties. By providing automated tools and guidance, an ECS would aim to streamline the calibration process, improve calibration transfer, enhance operator efficiency, and improve the overall consistency and reliability of analytical results produced using advanced chemometrics and machine earning techniques. In this article, we resurrect the discussion from nearly three decades ago.

Multidimensional Applications of Large Language Models in College English Teaching

Large language models, particularly those based on deep learning and natural language processing technologies, such as GPT-3 and its successors, are rapidly transforming the landscape of English language teaching in China. These models not only offer instant feedback and personalized learning experiences but also enhance English teaching comprehensively through various means, including generating rich textual resources, simulating conversational partners, and assisting teachers in lesson preparation. This study aims to explore the multidimensional applications of large language models in English teaching, encompassing their specific roles in listening, speaking, reading, and writing, the promotion of students' autonomous learning abilities, and the improvement of teaching efficiency and effectiveness. By synthesizing current research findings and practical cases, we identify the advantages, challenges, and future directions of applying large language models in English teaching, providing insights for educators and researchers.

Vesicles Formed by Transition Metal Complexes: Synthesis, Morphology and Applications

AbstractVesicles are one of the most important self‐assembled manifestations because of their multidimensional applications in biology, catalysis and adsorption. Several synthetic vesicles have been prepared from small peptides, amphiphilic fatty acids, amino acids and organic molecules etc. Transition metal complexes derived from different types of ligands are found to be self assembled to form solid state networks and also supramolecular aggregates in solution. In this review article we have discussed about synthesis, morphology and utility of vesicles formed by 14 transition metal complexes of some amphiphilic and non‐amphiphilic ligands. Interestingly, vesicles derived from transition metal complexes with non‐amphiphilic ligands are mostly soluble in organic solvents, whereas those derived from amphiphilic ligands are soluble in aqueous medium. As a result, their potential applications can be explored in complementary solvents accordingly.

Highly efficient piezocatalytic composite with chitosan biopolymeric membranes and bismuth ferrite nanoparticles for dye decomposition and pathogenic S. aureus bacteria killing.

Untreated wastewater harbors dangerous pathogens, chemicals, and pollutants, posing grave public health threats. Nowadays, there is a rising demand for eco-friendly technologies for wastewater treatment. Recently, piezoelectric materials-based wastewater treatment technology has captured considerable interest among researchers because of its noninvasiveness and rapidity. Herein, a highly efficient piezoelectric composite material is designed with chitosan-incorporated bismuth ferrite (BFO) nanocrystals, to decompose pollutants and ablate bacteria in wastewater. On one hand, piezoelectric BFO has shown exclusive piezo-coefficient for ultrasound-mediated reactive oxygen species (ROS) production. On the other hand, chitosan depicts its biocompatible nature, which not only promotes cellular adhesion but also significantly elevates the ROS production capabilities of BFO under ultrasound. The synergistic effect of these two piezoelectric units in one composite entity shows an improved ROS production, eradicating ∼87.8% of Rhodamine B within 80min under soft ultrasound treatment (rate constant, k ≈ 0.02866min-1). After performing the scavenger experiment, it has been found that hydroxyl radicals are the dominating factor in this case. Further, the reusability of the composite piezocatalyst is confirmed through multiple cycles (five times) of the same experiment. The high polarizability of the composite material facilitates the generation of piezoelectric power through finger tapping (∼12.05V), producing substantial instantaneous piezo-voltage. Moreover, the sample exhibits remarkable antibacterial activity, with nearly 99% bacterial eradication within 30min. This indicates a significant advancement in utilizing biopolymeric composites incorporated with BFO for fabricating versatile devices with multidimensional applications.

A Comprehensive Review of Radiation-Induced Hydrogels: Synthesis, Properties, and Multidimensional Applications.

At the forefront of advanced material technology, radiation-induced hydrogels present a promising avenue for innovation across various sectors, utilizing gamma radiation, electron beam radiation, and UV radiation. Through the unique synthesis process involving radiation exposure, these hydrogels exhibit exceptional properties that make them highly versatile and valuable for a multitude of applications. This paper focuses on the intricacies of the synthesis methods employed in creating these radiation-induced hydrogels, shedding light on their structural characteristics and functional benefits. In particular, the paper analyzes the diverse utility of these hydrogels in biomedicine and agriculture, showcasing their potential for applications such as targeted drug delivery, injury recovery, and even environmental engineering solutions. By analyzing current research trends and highlighting potential future directions, this review aims to underscore the transformative impact that radiation-induced hydrogels could have on various industries and the advancement of biomedical and agricultural practices.

Multi-dimensional application of dithizone functionalized polyacrylonitrile fiber: Colorimetric recognition of Ag+ and In Situ catalyzed dye reduction

A functionalized polyacrylonitrile fiber PANODF modified by ethanolamine and dithizone is successfully prepared to selectively identify Ag+ by colorimetric method and then reduce various dyes in situ cooperating with NaBH4. The color of functionalized fiber changes from orange to bright red when it is soaked in solution with Ag+ ions. It's even more satisfying that no relevant color change of the fiber has been observed in the solution of other 12 kinds of metal ions. Obvious color change can occur within 3 min and the detection limit can reach 1 ppm for Ag+. In addition, the process of recognizing Ag+ will not be interfered by other ions in the real water sample. Moreover, the functionalized fiber can be reused up to 10 times for Ag+ recognition. Additionally, the Ag+ ions absorbed on the fiber can be reduced to Ag0, creating a new fiber (PANOD-Ag0F) that can be used as a catalyst to reduce various dyes in situ with NaBH4. The experimental results show that the six kinds of dyes can be quickly reduced to the colorless and less-toxic substance under the condition of NaBH4 as the reducing agent and PANOD-Ag0F as the catalyst. The catalytic reduction capacity of PANOD-Ag0F can still reach more than 99 % when it is recycled for 10 times, which proves the practical application potential of the functionalized fiber.

The Trends of Potential User Research from 2014-2023 Based on Bibliometric and Bertopic

Objective: Despite the increasing importance of lead generation research in increasing product or market share, cost and resource constraints have become a challenge for SMEs.Therefore, this study aims to explore and reveal research themes and market trends hidden in articles on lead generation over the past 10 years. . Theoretical Framework: In this study, qualitative and quantitative methods are combined, and three methods of bibliometrics, network analysis and BERTopic topic modeling are used to analyze the literature. Method: A total of 7446 articles were analysed using bibliometrics, network analysis and BERTopic thematic modelling as the basis of a mixed method approach. Results and Discussion: The study found that the field is currently experiencing a downward trend after a phase of rapid growth. During this period, the United States and China were the countries with the highest number of articles accounting for 77% of the total; the Journal of Cleaner Journal of Cleaner Production was the most cited journal. In addition, the potential user studies cover 43 mainstream topics, focusing on 6 aspects . In the in-depth analysis of the theme evolution, it was found that the potential user study gradually evolved from the initial multidimensional application to focus on open service, and was more oriented towards the public service field. Research Implications: This provides a strong theoretical basis and practical guidance for identifying potential customers and increasing conversion rates and revenues. Originality/Value: To our knowledge, this is the first study to use a mixed-methods approach to lead generation, which will help researchers to tackle more complex challenges and changes in the future.

Low-Rank Tensor Function Representation for Multi-Dimensional Data Recovery.

Since higher-order tensors are naturally suitable for representing multi-dimensional data in real-world, e.g., color images and videos, low-rank tensor representation has become one of the emerging areas in machine learning and computer vision. However, classical low-rank tensor representations can solely represent multi-dimensional discrete data on meshgrid, which hinders their potential applicability in many scenarios beyond meshgrid. To break this barrier, we propose a low-rank tensor function representation (LRTFR) parameterized by multilayer perceptrons (MLPs), which can continuously represent data beyond meshgrid with powerful representation abilities. Specifically, the suggested tensor function, which maps an arbitrary coordinate to the corresponding value, can continuously represent data in an infinite real space. Parallel to discrete tensors, we develop two fundamental concepts for tensor functions, i.e., the tensor function rank and low-rank tensor function factorization, and utilize MLPs to paramterize factor functions of the tensor function factorization. We theoretically justify that both low-rank and smooth regularizations are harmoniously unified in LRTFR, which leads to high effectiveness and efficiency for data continuous representation. Extensive multi-dimensional data recovery applications arising from image processing (image inpainting and denoising), machine learning (hyperparameter optimization), and computer graphics (point cloud upsampling) substantiate the superiority and versatility of our method as compared with state-of-the-art methods. Especially, the experiments beyond the original meshgrid resolution (hyperparameter optimization) or even beyond meshgrid (point cloud upsampling) validate the favorable performances of our method for continuous representation.

Flexible Tactile Sensors for 3D Force Detection.

As tactile force sensing has become increasingly significant in the field of machine haptics, achieving multidimensional force sensing remains a challenge. We propose a 3D flexible force sensor that consists of an axisymmetric hemispherical protrusion and four equally sized quarter-circle electrodes. By simulating the device using a force and electrical field model, it has been found that the magnitude and direction of the force can be expressed through the voltage relationship of the four electrodes when the magnitude of the shear force remains constant and its direction varies within 0-360°. The experimental results show that a resolution of 15° can be achieved in the range 0-90°. Additionally, we installed the sensor on a robotic hand, enabling it to perceive the magnitude and direction of touch and grasp actions. Based on this, the designed 3D flexible tactile force sensor provides valuable insights for multidimensional force detection and applications.

Dwell Times, Wavepacket Dynamics, and Quantum Trajectories for Particles with Spin 1/2.

The theoretical connections between quantum trajectories and quantum dwell times, previously explored in the context of 1D time-independent stationary scattering applications, are here generalized for multidimensional time-dependent wavepacket applications for particles with spin 1/2. In addition to dwell times, trajectory-based dwell time distributions are also developed, and compared with previous distributions based on the dwell time operator and the flux-flux correlation function. Dwell time distributions are of interest, in part because they may be of experimental relevance. In addition to standard unipolar quantum trajectories, bipolar quantum trajectories are also considered, and found to relate more directly to the dwell time (and other quantum time) quantities of greatest relevance for scattering applications. Detailed calculations are performed for a benchmark 3D spin-1/2 particle application, considered previously in the context of computing quantum arrival times.

Understanding masstige wine brands’ potential for consumer-brand relationships

PurposeThis study aims to fill various gaps detected in the literature on mass prestige (hereafter referred to as masstige) theory. The originality of the work stems from the multidimensional application of Paul’s (2015) model, the introduction of brand addiction as a construct from the consumer-brand relationship (CBR) theory within the context of wines and the exploration of a new and less studied sector in masstige strategies.Design/methodology/approachA structured questionnaire was distributed to collect data from masstige wine brand buyers in Portugal, of whom 166 completed the questionnaire correctly. A conceptual model was developed and tested using partial least squares structural equation modelling.FindingsThe findings include that only two dimensions of Paul’s (2015) masstige scale affect brand addiction: brand knowledge and excitement and status. Brand addiction has a positive effect on brand loyalty and electronic word of mouth (eWOM), and brand loyalty has a positive impact on eWOM. Theoretical and managerial implications were explored.Originality/valueThis research added a CBR perspective to masstige theory and applied masstige theory to wine brands for the first time. These three distinctive aspects collectively contribute to the novelty and significance of the research, opening up exciting possibilities for future investigations and providing a valuable contribution to the academic community and the wine industry alike.

Multidimensional regulation and application of RNA

Multidimensional regulation and application of RNA