Innovative Elements Research Articles

Exploring neurofeedback as a therapeutic intervention for subjective cognitive decline.

This study addresses the pressing issue of subjective cognitive decline in aging populations by investigating neurofeedback (NFB) as a potential early therapeutic intervention. By evaluating the efficacy of individualised NFB training compared to standard protocols, tailored to each participant's EEG profile, it provides novel insights into personalised treatment approaches. The incorporation of innovative elements and rigorous analytical techniques contributes to advancing our understanding of NFB's modulatory effects on EEG frequencies and cognitive function in aging individuals. In the context of an aging population, concerns surrounding memory function become increasingly prevalent, particularly as individuals transition into middle age and beyond. This study investigated neurofeedback (NFB) as a potential early therapeutic intervention to address subjective cognitive decline (SCD) in aging populations. NFB, a biofeedback technique utilising a brain-computer interface, has demonstrated promise in the treatment of various neurological and psychological conditions. Here, we evaluated the efficacy of individualised NFB training, tailored to each participant's EEG profile, compared to a standard NFB training protocol aimed at increasing peak alpha frequency power, in enhancing cognitive function among individuals experiencing SCD. Our NFB protocol incorporated innovative elements, including the implementation of a criterion for learning success to ensure consistent achievement levels by the conclusion of the training sessions. Additionally, we introduced a non-learner group to account for individuals who do not demonstrate the expected proficiency in NFB regulation. Analysis of electroencephalographic (EEG) signals during NFB sessions, as well as before and after training, provides insights into the modulatory effects of NFB on EEG frequencies. Contrary to expectations, our rigorous analysis revealed that the ability of individuals with SCD to modulate EEG signal power and duration at specific frequencies was not exclusive to the intended frequency target. Furthermore, examination of EEG signals recorded using a high-density EEG showed no discernible alteration in signal power between pre- and post-NFB training sessions. Similarly, no significant effects were observed on questionnaire scores when comparing pre- and post-NFB training assessments.

The Development Instructional Model Based on Steam Education by TP-SMART MODEL to Enhance Technological Innovation and Creativity Skills of Secondary Student Mathayom 6

The Development Instructional Model Based on Steam Education by TP-SMART MODEL To Enhance Technological Innovation and Creativity Skills of Secondary student Mathayom 6, divided into 4 steps. Step 1: Study the current and expected conditions of student learning and innovation skills development. 2) Develop the model 3) Study the results of use 4) Evaluate the results. Sample group used in the study Mathayom 6/4 students at That Phanom School, Semester 1, academic year 2023, 1 classroom, 26 people. By means of Cluster Random Sampling, statistics used include mean (X), standard deviation (S.D.), essential needs index (PNI Modified), and t-test (Match paired t-test) The results of the study found that 1) The results from the synthesis of learning skills and innovation components consisted of 3 components: Including (1) communication and cooperation (2) critical thinking and problem-solving and (3) Creative thinking and innovation Elements with the highest demand index values are creativity and innovation PNIModified=.294. 2) The model development is consistent with values between 0.80-1.00 and the overall average is 0.933. The confirmation results found that the overall components were appropriate at the highest level (X=4.258, S.D.=0.668). 3) Results of the comparative analysis of scores before and after using the format. The difference is statistically significant at .05. 4) Overall evaluation of the use of the model The average is at a high level (X=4.29, S.D.=0.65).

Artificial Intelligence Signal Control in Electronic Optocoupler Circuits Addressed on Industry 5.0 Digital Twin

The paper is focused on the modeling of a digital twin (DT) through a circuit simulation and artificial intelligence (AI) analysis to determine the effects of disturbances and noise in optocoupler devices integrated into programmable logic controller (PLC) systems. Specifically, the DT analyzes the parametric and the predicted simulations about the sensitivity of the optocouplers versus noise and interference to provide possible corrective actions, compensating for the distortion of the output signal. The model is structured into two main data processing steps: the first is based on the circuit simulation of the optocoupler noise coupling by highlighting the time-domain sensitivity aspects and the frequency behavior of the coupled signals; the second one estimates the predicted disturbed signal by means of supervised random forest (RF) and unsupervised K-Means algorithms to provide further elements to prevent corrective solutions by means of risk maps. This work is suitable for Industry 5.0 scenarios involving machine control supported by AI-based DT platforms. The innovative elements of the proposed model are the DT features of scalability and modularity; the spatial multidimensionality, able to couple the effects of different undesired signals; and the possibility to simulate the whole PLC system, including its control circuits.

Research on the Impact of Urban Agglomeration Spatial Structure on the Innovation Capacity of the New Energy Vehicle Industry

As a new productive force, new energy vehicles have the characteristics of high technology, high efficiency, and high quality, which are in line with the advanced productive state of the new development concept. The spatial structure is related to whether the innovative elements of the new energy vehicle industry can be effectively organized, allocated, and produced within the city. This article takes the Beijing Tianjin Hebei Urban Agglomeration, Yangtze River Delta Urban Agglomeration, Chengdu Chongqing Urban Agglomeration, and Pearl River Delta Urban Agglomeration as research objects. Based on fused corrected DMSP/OLS and NPP-VIIRS night light data, it examines the impact of spatial structure on the innovation capacity of the new energy vehicle industry, and explores the transfer of innovation capacity within urban agglomerations, and predicts possible future development paths

Research on the Impact of Urban Agglomeration Spatial Structure on the Innovation Capacity of the New Energy Vehicle Industry

As a new productive force, new energy vehicles have the characteristics of high technology, high efficiency, and high quality, which are in line with the advanced productive state of the new development concept. The spatial structure is related to whether the innovative elements of the new energy vehicle industry can be effectively organized, allocated, and produced within the city. This article takes the Beijing Tianjin Hebei Urban Agglomeration, Yangtze River Delta Urban Agglomeration, Chengdu Chongqing Urban Agglomeration, and Pearl River Delta Urban Agglomeration as research objects. Based on fused corrected DMSP/OLS and NPP-VIIRS night light data, it examines the impact of spatial structure on the innovation capacity of the new energy vehicle industry, and explores the transfer of innovation capacity within urban agglomerations, and predicts possible future development paths

Research on the Application of Smart Home in Interior Design

Abstract: With the rapid development of science and technology, the smart home in the field of interior design came to prominence. This paper discusses the application of smart home in interior design in the current environment. Smart home integration of advanced technology, covering intelligent lighting, home appliances, security, and environmental control systems. It provides designers with new creative ideas, challenges the traditional design mode, and promotes the perfect combination of technology, and art to meet people's pursuit of a high quality of life. For the residents, a smart home brings a new life experience, providing a comfortable, convenient, safe and personalized living environment. Therefore, this paper combines the new concepts, methods, and elements brought by smart home to interior design, analyses how smart home injects new vitality and innovative elements into interior design, and finds that the smart home opens up new dimensions, enriches the functional connotation, provides aesthetic inspiration, and changes the design process and method for interior design, that smart home is of great significance in promoting interior design innovation and change.

Sustainable urban digital innovation: A socio-technical competency-based approach to evaluation

This study explores the leadership competencies required in practice by city planners and managers in smart city projects focusing on environmental urban sustainability. Although the literature notes that urban technologies and their capabilities can help address sustainability challenges in cities, there is a lack of studies exploring the competency requirements necessary to foster leadership capacity. This paper identifies leadership competencies within four real-world case studies in the urban built environment, guided by a socio-technical competency framework (DC2-CF). The selected case studies represent a diverse set of city planning purposes, geographic regions, various levels of spatial scale, and socio-technical elements of digital innovation. In these case studies, city managers exhibit specific competencies to develop digital innovation projects that uphold and advance urban sustainability. The study demonstrates the relevance and practical application of DC2-CF as a valuable tool to identify competency needs for local public, private, and community stakeholders throughout diverse stages of the urban digital innovation process. The findings suggest the complex relationship between competencies and project delivery, stressing variations in how they are utilised across various projects. Drawing from these key results, this paper provides practical recommendations for city professionals, guiding them in leading climate-friendly and sustainable urban digital innovation.

Innovations and practices in hospitality management

Intensification of competition and transformation of consumer tastes have determined the constant need for innovations in hospitality management. Companies are constantly looking for new ways to improve the quality of services, reduce costs, and create a segment of regular customers. The optimal combination of technological innovations, customer loyalty management algorithm and online booking platforms in the field of hospitality allow you to build a strategy of competitive advantages and ensure sustainable development. The materials of the presented research are aimed at identifying the impact of technological innovations on the level of customer service and, as a result, an opportunity to influence their loyalty. The concept of integration of the main elements of innovation in management and marketing is proposed, based on the analysis of modern trends and the effectiveness of using online booking platforms in the field of hospitality. The proposed hypothesis is based on several key aspects. The fundamental factors that affect changes in the hospitality sector are due to intensifying competition and the transformation of consumer tastes. In addition, an integral part of successful management in the s hospitality sector is the constant implementation of innovations in management, which allows companies to adapt in accordance with the transformation of the external environment. Effective management of communications with customers has consisted in the optimal combination of technological innovations and algorithms for managing customer loyalty. The proposed hypothesis clearly indicates that the research is aimed at the practical application of the results to improve management and ensure sustainable development in the hospitality sector.

The Influence of Shear Connectors in a Longitudinal Arrangement on Free Vibrations of Steel–Concrete Composite Beams

In this work, the role of longitudinal shear connectors in mitigating free vibrations of steel–concrete composite beams (SCCBs) is scrutinized utilizing an innovative finite element methodology. In the proposed methodology, partial shear connection between the adjacent sub-beams is considered, and the SCCBs with various stiffnesses are modeled under four common boundary conditions, namely, (a) simply supported ends (S-S), (b) one clamped end and one free end (C-F), (c) one clamped end and one simply supported end (C-S), and (d) clamped ends (C-C). Thereafter, successful verification of the proposed methodology’s efficacy is achieved through comparative analysis with the theoretical results. Lastly, a reasonable arrangement along this longitudinal direction of shear connectors is proposed based on the change law of the squared fundamental frequency ratio.

Adapting to Individual Differences: An Experimental Study of Language Evolution in Heterogeneous Populations.

Variations in language abilities, use, and production style are ubiquitous within any given population. While research on language evolution has traditionally overlooked the potential importance of such individual differences, these can have an important impact on the trajectory of language evolution and ongoing change. To address this gap, we use a group communication game for studying this mechanism in the lab, in which micro-societies of interacting participants develop and use artificial languages to successfully communicate with each other. Importantly, one participant in the group is assigned a keyboard with a limited inventory of letters (simulating a speech impairment that individuals may encounter in real life), forcing them to communicate differently than the rest. We test how languages evolve in such heterogeneous groups and whether they adapt to accommodate the unique characteristics of individuals with language idiosyncrasies. Our results suggest that language evolves differently in groups where some individuals have distinct language abilities, eliciting more innovative elements at the cost of reduced communicative success and convergence. Furthermore, we observed strong partner-specific accommodation to the minority individual, which carried over to the group level. Importantly, the degree of group-wide adaptation was not uniform and depended on participants' attachment to established language forms. Our findings provide compelling evidence that individual differences can permeate and accumulate within a linguistic community, ultimately driving changes in languages over time. They also underscore the importance of integrating individual differences into future research on language evolution.

Use of Artificial Intelligence in Fashion Sales Techniques

This article discusses the prominent elements of artificial intelligence innovation in fashion sales techniques and details artificial intelligence-supported sales strategies such as virtual reality, augmented reality, virtual try-on rooms, smart mirrors, artificial intelligence-supported style consultants, visual search technologies and chatbot. This study was written with the compilation method. The compilation method is written with the aim of collecting the literature written so far on the research subjects from a scientific perspective and making a collective contribution to the literature. While virtual reality and augmented reality offer customers interactive shopping experiences and the opportunity to try products in their own environment without going to the store, virtual trial rooms and smart mirrors; Studies have shown that it has the potential to make online and face-to-face shopping easier, faster and more interactive. It has been stated that visual search technologies enable customers to easily find the products in the style they want, and artificial intelligence-supported style consultants and chatbots play an important role in optimizing the shopping experience by making personalized suggestions to customers. New and innovative solutions can be produced by conducting studies that encourage interdisciplinary collaboration between fashion designers, software developers and academicians. In this period when we live intertwined with technology, artificial intelligence-focused modules can be added to academic curricula for students studying in the field of design, and these modules will provide benefits for students to gain knowledge and skills on how to integrate artificial intelligence technologies into fashion design. The effective use of artificial intelligence in fashion sales techniques will provide a competitive advantage against competitors in the industry.

Power Equalizing Model for Financial Equity in Education Based on Islamic Values

This research explores how the power-equalizing model in educational financial management can increase fund allocation efficiency and transparency by integrating key elements, including stakeholder participation, the use of technology, and innovative economic management strategies. The research method involved interviews with participants, educators, educational managers, and technology developers to identify best practices and challenges faced in implementing this model. The findings show that the power equalizing model in financial management can improve transparency and accountability in fund management. Still, stakeholder coordination and technology adaptation challenges need to be addressed further. The conclusions of this research emphasize the importance of integrating innovative elements in educational and financial management to achieve better efficiency and fair allocation of funds.

Arc-flow formulation and branch-and-price-and-cut algorithm for the bin-packing problem with fragile objects

This study introduces an arc-flow formulation and the first branch-and-price-and-cut (BPC) algorithm designed to solve the bin-packing problem with fragile objects (BPPFO). This variant of the bin-packing problem originates in the field of telecommunications, particularly in the allocation of cellular calls to frequency channels. The arc-flow formulation is inspired by previous studies and modifies the graph construction method to accommodate fragility constraints. We proved the correctness of this formulation and demonstrated its superiority in instances with small maximum fragility through extensive experiments. The proposed BPC algorithm leverages advanced cutting and packing techniques and incorporates innovative elements such as problem reduction, additional cutting planes, and a label-setting-based exact pricing algorithm. The experimental results demonstrate that the proposed BPC algorithm is highly competitive with the state-of-the-art algorithm for solving the BPPFO and can successfully solve several previously unsolved instances.

Online Learning from the Learning Cycle Perspective: Discovering Patterns in Recent Research

We propose a method for automatically extracting new trends and best practices from the recent literature on online learning, aligned with the learning cycle perspective. Using titles and abstracts of research articles published in high ranked educational journals, we assign topic proportions to the articles, where the topics are aligned with the components of the learning cycle: engagement, exploration, explanation, elaboration, evaluation, and evolution. The topic analysis is conducted using keyword-based Latent Dirichlet allocation, and the topic keywords are chosen to reflect the nature of the learning cycle components. Our analysis reveals the time dynamics of research topics aligned on learning cycle components, component weights, and interconnections between them in the current research focus. Connections between the topics and user-defined learning elements are discovered. Concretely, we examine how effective learning elements such as virtual reality, multimedia, gamification, and problem-based learning are related to the learning cycle components in the literature. In this way, any innovative learning strategy or learning element can be placed in the landscape of the learning cycle topics. The analysis can be helpful to other researches when designing effective learning activities that address particular components of the learning cycle.

Green Computing Innovation Index Measurement Using Fuzzy Inference System for Young Inventors

Green Computing Innovation (GCI) aims to address the negative effects of traditional computing on the environment and promote sustainable practices in computing. Subsequently, the Green Computing Innovation Index (GCII) was used to measure young inventors' inventiveness to evaluate from green computing perspectives. Nonetheless, one of the most significant challenges evaluators face in the measurement process includes uncertainty and imprecise data in measuring the young inventors' green computing innovation. Thus, this paper measures the Green Computing Innovation Index (GCII) with a novel approach utilizing Fuzzy Inference System (FIS) with the Mamdani method. The study measures the top 10 young inventors' innovations from the Faculty of Computing and Meta-Technology, UPSI. Fuzzy Inference System will assist in providing improved decision-making solutions for evaluators to prevent any uncertainty and subjectivity during the evaluation process. The development of FIS is based on four key innovation elements. It uses a triangular membership function with Centroid, Middle of Maximum (MOM), Smallest of Maximum (SOM), Bisector and Largest of Maximum (LOM) methods for defuzzification. The centroid defuzzification method is observed to perform better than other defuzzification methods. It is due to the fact that the adopted defuzzification approach is equally sensitive to all key innovation criteria inputs and can truly represent the minor change in the values of any parameters across all products. The centroid method was found to be the most efficient for decision-making, providing precise results with the ability to detect discrepancies as small as 0.001. Thus, the centroid method can improve decision-making efficiency, leading to fairness in selecting the best green computing innovation product. Ultimately, GCII rating contribute mainly on encouraging young inventors to innovate and promote sustainable practices in innovations.

Emerging Insights From a Research‐Practice Partnership Approach to Educational Neuroscience

ABSTRACTAdvances in the field of Mind, Brain, and Education (MBE) have been limited by a fundamental separation between university‐based neuroscience laboratories and school communities, constraining the field's ability to collaboratively devise research studies germane to child development. This commentary explores the assertion that the persistent obstacles in MBE work may stem from how we structure these partnerships. We examine this premise through a detailed case study of a research‐practice partnership that has successfully implemented a range of innovative programmatic elements, including the establishment of specially trained liaisons, situating a neuroscience lab within a school, and actively involving practitioners and students in research. An analysis of the values that iteratively emerged from this approach may encourage other MBE stakeholders to consider affordances of this model when embarking upon future partnership endeavors.

Do Video Games Enhance Competencies & Skills? Study Case: Civil Engineering Students

The following article is a text that shows the relevance of including video games as part of an academic technique that promotes coexistence, communication, teamwork, develop some skills, competencies, and creativity among members of the university community -professors and students-. The objective of this research is to show the results obtained in a dynamic organized by the Civil Engineering department of a private university in Puebla, Mexico. The idea is to hold a private session and play “Call of Duty: Warzone II”. It should be noted that with this activity the students can learn a specific content, in this case, the analysis of a hydraulic press, how it is built and how it works. In addition, the activity carried on, helped to create a better bond between teachers and students, but above all, showed the possibilities to generate greater interest in learning and to get the students actively involved in one topic. The theoretical framework on which this research lies in the following topics: Game-Based Learning -GBL-, innovative education focused on video games as community generators, and the importance of the development of certain skills among college students. The methodology that this study has, is quantitative. Particularly, a questionnaire -Likert scale-, is carried out to the students who participated in this dynamic. The main results show that the people who were in the virtual session are excited to interact under another type of scenarios that goes beyond the classroom, and that “breaking” the barrier between teacher and alumni becomes a differentiating and innovative element. In educational matters, they consider that the learning obtained from a video game is something that they had not contemplated; Added to this, the students ensure that working as a team, communicating their needs and doubts between peers, and getting involved in this kind of forums helps generate greater interest in engineering and acquire new knowledge. Finally, it can be concluded that video games nowadays are an indispensable tool not only to foster an online community but to take the teaching and learning process to another level.

Numerical Studies of Solid Rocket Propellant PMMA-PBAN-ALF3-Nitrocellulose-Difluoramine

Abstract The aim of the new investigation is the evaluation of solid rocket Propellant. In which performing numerical analysis of solid rocket propellant and calculating the constraints involved as derived from thrust i.e. velocity involved in the solid rocket propulsion motor usage. This paper aims to show the viability of solid rocket propellant for modern and future applications. Solid rocket motors are simple in design and fabricating. The need for a propellant that produces the same specific impulse as another chemical rocket engine. So it is needed to have a solid rocket motor with an enhanced combustion characteristic at a reasonable O/F ratio. For a healthy ecology, an economically reliable, highly effective, and environmentally concerned propellant is constantly suitable. As a superior alternative among the already used propellants in the sector, the paper suggested fuel PolyMethyl MethAcrylate (PMMA), PolyButadiene AcryloNitrile (PBAN) CoPolymer, and Aluminum hydride (AlH3), and oxidizers such as Nitrocellulose and Difluoramine. The desired O/F ratio for the technical criteria was found to result in a high combustion characteristic. With the features discovered through numerical and analytical research, we have suggested a design for the SRM that includes post-combustion, which enhances the reaction and creates the innovative elements of the existing SRM.

Development and pilot testing of the Population And ContExt adaption of decision aids (PACE) framework

ObjectiveThis study aimed to develop and pilot test a new framework for the adaptation of patient decision aids (PtDAs) using a specific case example of contraceptive method PtDAs for Chinese-speaking migrant women. MethodsWe developed a novel approach for adaptation – the PACE (Population And ContExt adaption of decision aids) framework – that incorporated both existing models and frameworks and innovative elements. It involves six stages: selection and appraisal; review by content experts; content validity and usability pre-testing; translation; decisional needs assessment; and perceived acceptability, usability and feasibility testing. We then followed the framework to pilot and adapt a suite of PtDAs on contraceptive methods for Chinese-speaking migrant women in Australia. Twenty healthcare providers and 22 Chinese migrant women participated during the stages five and six. ResultsThe pilot resulted in adapted PtDAs that were acceptable to end users. For future research, we proposed further recommendations and considerations based on lessons learnt, which include flexibility in applying the framework and considering an additional real-world evaluation step. ConclusionAdaptation of PtDAs required a multi-stage and multidisciplinary team-based and pragmatic approach as exemplified in the application of the PACE framework. InnovationThe PACE framework developed and piloted in this study fills a crucial gap in knowledge about how to adapt PtDAs for new populations and contexts and provides an innovative and systemic approach to guide the adaptation process.

Die „Kovacs-Vase“

The Kovacs Vase was first made known under scholars in Munich in 1996, but its origins and current owner are unknown. It could be shown that the pictorial scenes come from the Greek Pankration. It has now been proposed to date the Kovacs Vase to 400 AD. The successful fight of the alround-fighter Privatulus is shown in five scenes, with legends attached to the fight pictures describing the athletes in more detail. The inscriptions also indicate that it must have been an experienced and victorious all-fighter from the Green Circus Party (factiones). What is unusual is that the loser Victorinus is also mentioned by name, possibly also a successful fighter, over whom victory may have meant an outstanding achievement for Privatulus. All additions are written in a vulgar Latin that is similar to Proto-Romance and is difficult to understand. The overview and comparison of silver and non-ferrous metal jugs and vases from the 4th to 8th centuries shows that in the toreutics of this period both traditional forms and motifs have been present since the 4th century and new forms and decorative elements appear that clearly differ from the late Roman origins. The Kovacs Vase combines ‘classic’ shapes and motifs from the 6th century with innovative elements that indicate an independent, classicist development. It could be that it was made in a workshop in northern Italy. Although written sources mention gymnastic agones, no firmly dated images from the 5th century are known to date. Against this historical-archaeological background, the Kovacs Vase with its depictions and inscriptions is a unique testimony to Greek agonistics in late antiquity.