Innovation In Area Research Articles

The Development of New Functional Foods and Ingredients

Functional foods have emerged as a crucial area of research and innovation in the realm of food science, offering promising solutions for the prevention and management of chronic diseases such as cardiovascular disease, cancer, osteoporosis, diabetes, and hypertension [...]

Negative emotions reduce sensorimotor cortex activity during proprioceptive modulation of rolandic ∼20HZ beta rhythm in typically developing children and those with neurodevelopmental conditions

BackgroundThe Rolandic ∼20-Hz beta rhythm of the sensorimotor cortex is associated with motor function and perception. However, the modulation of this rhythm by different emotional stimuli is an innovative area of research. AimsThis study aims at investigating the impact of affective pictures (positive, negative, and neutral) on the proprioceptive modulation of the Rolandic ∼20 Hz beta rhythm in typically developing children and children with neurodevelopmental disorders (i.e. cerebral palsy and autism). Methods and proceduresEEG was recorded while participants experienced passive wrist movements during the simultaneous viewing of affective pictures. Time-frequency analysis of the sensorimotor oscillatory activity was performed. Outcomes and resultsOur findings revealed that pictures with negative emotional valence notably diminish event-related synchronization (ERS) amplitude during the perception of hand movement in all groups of children. Conclusions and implicationsThese findings suggest that emotional stimuli, particularly the negative ones, could significantly influence brain's processing of proprioception, adding knowledge to the interaction of common comorbidities, such as sensorimotor disorders and emotional dysregulation, in children with neurodevelopmental disabilities.

A Survey on Vision-Based Anti Unmanned Aerial Vehicles Methods

The rapid development and widespread application of Unmanned Aerial Vehicles (UAV) have raised significant concerns about safety and privacy, thus requiring powerful anti-UAV systems. This survey provides an overview of anti-UAV detection and tracking methods in recent years. Firstly, we emphasize the key challenges of existing anti-UAV and delve into various detection and tracking methods. It is noteworthy that our study emphasizes the shift toward deep learning to enhance detection accuracy and tracking performance. Secondly, the survey organizes some public datasets, provides effective links, and discusses the characteristics and limitations of each dataset. Next, by analyzing current research trends, we have identified key areas of innovation, including the progress of deep learning techniques in real-time detection and tracking, multi-sensor fusion systems, and the automatic switching mechanisms that adapt to different conditions. Finally, this survey discusses the limitations and future research directions. This paper aims to deepen the understanding of innovations in anti-UAV detection and tracking methods. Hopefully our work can offer a valuable resource for researchers and practitioners involved in anti-UAV research.

Semi-Opaque Perovskite Solar Cells.

Transparent photovoltaics are garnering significant interest for power generation in applications where light transmission is required. Metal halide perovskites have emerged as one of the most lucrative material classes for such device architectures due to their exceptional optoelectronic properties, and compositional versatility enabling a wide range of transparency levels. While research has primarily focused on semitransparent solar cell architectures, their colored appearance, and efficiency limitations hinder their practical applicability. In this perspective, we look at semiopaque perovskite solar cells as an alternative technological approach that comprises partially covered surfaces to enable light transmission. Our comparative analysis reveals that such semiopaque devices have the potential for superior efficiencies while maintaining a color-neutral appearance. These benefits are met with a number of hurdles, which provide key areas for future innovation to see the realization of such devices in real world applications.

Flipping healthcare by including the patient perspective in integrated care pathway design: A scoping review

BackgroundDespite the recognized benefits of integrating patient perspectives into healthcare design and clinical decision support, theoretical approaches and standardized methods are lacking. Various strategies, such as developing pathways, have evolved to address these challenges. Previous research emphasized the need for a framework for care pathways that includes theoretical principles, extensive user involvement, and data from electronic health records to bridge the gap between different fields and disciplines. Standardizing the representation of the patient perspective could facilitate its sharing across healthcare organizations and domains and its integration into journal systems, shifting the balance of power from the provider to the patient. ObjectivesThis study aims to 1) Identify research approaches taken to develop patient-centred, integrated, care pathways supported by electronic health records 2) Propose a socio-technical framework for designing patient-centred care pathways across multiple healthcare levels that integrates the voice of the patient with the knowledge of the care provider and technological perspectives. MethodsThis study conducted a scoping review following the Joanna Briggs Institute guidelines and PRISMA-ScR protocol. The databases PubMed, Scopus, Web of Science, ProQuest, IEEE, and Google Scholar were searched using a key term search strategy including variations of patient-centred, integrated care, pathway, framework and model to identify relevant studies. Eligible articles included peer-reviewed literature documenting methodologies for mapping patient-centred, integrated care pathways in healthcare service design. ResultsThis review summarizes the application of care pathway modelling practices across various areas of healthcare innovation. The search resulted in 410 studies, with 16 articles included after the full review and grey literature search. ConclusionsOur research illustrated incorporating patient perspectives into modelling care pathways and healthcare service design. Regardless of the medical domain, our methodology proposes an approach for modelling patient-centred, integrated care pathways across the care continuum, including using electronic health records to support the pathways.

Review of Human–Robot Collaboration in Robotic Surgery

Human–robot collaboration (HRC) technology has emerged as a pivotal innovation in robotic surgery, significantly augmenting surgeons’ capabilities and enhancing the precision, safety, and efficacy of surgical procedures. This technology has been widely adopted across various surgical disciplines, including general surgery, cardiothoracic surgery, urology, and neurosurgery. By classifying HRC technology into three interactive modes based on the level of autonomy in robot‐assisted minimally invasive surgery, key technologies in imaging perception, force sensing, and human–robot interaction control methods are thoroughly explored. In this review, a comprehensive and up‐to‐date overview of advancements in HRC technology within surgical robotics is provided. Additionally, this review delves into the challenges and safety concerns associated with employing robotic systems in surgery, highlighting areas for improvement and innovation. Finally, a forward‐looking perspective on trends in HRC technology is presented, offering insights into how emerging innovations are set to enhance and transform surgical practices.

The Reality of Innovation Management in Higher Education Institutions from Innovative Students’ Point of View

Innovation management plays a crucial role in harnessing innovations for economic development. Higher education institutions are considered one of the fundamental stages for embracing and supporting student innovations, especially in the early stages of ideation, selection and experimentation. Within this context, the current study aimed to understand the reality of innovation management in Omani higher education institutions at the pre-innovation stage. The study employed a descriptive methodology using a qualitative phenomenological research design. Data was collected through semi-structured interviews with a sample of 30 participants from two government universities and three private universities. The study utilised thematic analysis for data interpretation. In its findings, the study discusses the current reality of the management of the pre-innovation stage in Omani higher education institutions through five themes: announcing competitions, team formation, supervisory role, exploration of innovative ideas, and policies and regulations. The findings revealed that, despite efforts made by universities, there is a lack of planning or a defined roadmap for the innovation process. The study recommends implementing supportive policies and regulations for innovation, placing more emphasis on planning in the pre-innovation stage and adjusting supervision for students according to their innovative areas. KEYWORDS Innovation management, higher education, pre-innovation stage, innovation stage, innovation policies, Sultanate of Oman.

Synthesis of Linoleic Acid of Conjugated Isomers from Sesame (Sesamum Indicum) Seed Oil: Its Use and Effect in a Microstructured Product Type Oil-in-Water Emulsion

The development of functional foods is an area of great interest and innovation in the food industry. The use of conjugated linoleic acid (CLA) in food formulations has been growing in recent years due to its multiple health benefits. In this study, conjugated linoleic acid was obtained from sesame oil, and its use in the formulation of oil-in-water food emulsions was evaluated. Conjugated linoleic acid (CLA) was synthesized from the linoleic acid present in sesame oil using the alkaline isomerization method using proplyeneglycol as a solvent. The effect of alkali concentration (NaOH) and reaction time on the conversion of linoleic acid to CLA was evaluated. A 96.6% conversion of CLA was obtained with a NaOH concentration of 7% and a reaction time of 2 h. Emulsions were prepared using CLA as oil phase and soy lecithin, tween 80, carboxymethylcellulose as emulsifying agents. Emulsions with mixtures of carboxymethylcellulose and tween 80 were stable, presenting a non-Newtonian fluid behavior of pseudoplastic type (n<1). The Ostwald-de-Waele model shows an optimal fit to the experimental data of apparent viscosity (R2>0.99 ), and its microstructural characterization shows a homogeneous particle distribution. These results show that the alkaline isomerization process using propylene glycol as a solvent is an excellent alternative for the synthesis of CLA from vegetable oils such as sesame oil and its application in the development of microstructured products such as functional emulsions, and their subsequent application in the development of new food products with beneficial health characteristics.

АНАЛІЗ СТАТИСТИЧНИХ ДАНИХ РЕЗУЛЬТАТІВ ЗАВЕРШЕНИХ РОБІТ У ГАЛУЗІ ЕЛЕКТРОЕНЕРГЕТИКИ В УСТАНОВАХ ВІДДІЛЕННЯ ФІЗИКО-ТЕХНІЧНИХ ПРОБЛЕМ ЕНЕРГЕТИКИ НАН УКРАЇНИ

Considered the actual problem of monitoring the results of scientific research and collecting data necessary for the formation of policy for the development of priority areas of science, technology and innovation. An analysis of the de-velopment of research in the direction of "electric power" in the institutions of the Department of Physical and Techni-cal Problems of Energy of the National Academy of Sciences of Ukraine for the period from 1995 to 2021 was carried out. Indicators of the financing of these studies during the considered period are given, it is concluded that the growing trend of their financing against the background of the decreasing trend of general expenditures on science indicates the priority of this direction for the national economy of the country. Ref. 12, fig. 6.

Spatio-temporal distribution and peak prediction of energy consumption and carbon emissions of residential buildings in China

With the acceleration of urbanization and the improvement of people's living standards, the carbon emissions of residential buildings (BCE) in China have been increasing, hindering the achievement of carbon peaking and carbon neutrality goals. It has become increasingly urgent and important to analyze and grasp the dynamic trends of BCE. Given the notable regional variations in carbon emissions, it is necessary to delve into the distribution characteristics of BCE and the underlying factors influencing them. First, based on the emission factor method, the energy consumption and carbon emissions calculation models are established. Next, the main influencing factors are obtained by improving Kaya's constant equation. Meanwhile, the GA-PPC-Kmeans model is established to divide BCE into different regions. Then, the STIRPAT-Ridge model is built to predict the peak carbon emissions. Finally, a combination of static and dynamic methods is used to forecast peaks under three scenarios, which are low-carbon (LC) scenario, baseline (BA) scenario, and high-carbon (HC) scenario. The results show that five pivotal factors significantly impact BCE in China, which are energy carbon emission intensity (ECEI), energy intensity (EI), economic density (ED), residential housing level (RHL) and population size(P). Furthermore, BCE is categorized into five distinct regions: low-carbon demonstration area, energy efficiency improvement area, carbon concentration and innovation area, high-carbon optimization area, and carbon poverty development area. Under BA scenario, the peaks for BCE in these regions converge primarily around 2040 and 2045. This study provides a regional research perspective for China's residential buildings to reach the peak of carbon emissions, and serves as a reference for formulating carbon emission reduction plans in different regions.

Progress in multifactorial single-cell chromatin profiling methods.

Chromatin states play a key role in shaping overall cellular states and fates. Building a complete picture of the functional state of chromatin in cells requires the co-detection of several distinct biochemical aspects. These span DNA methylation, chromatin accessibility, chromosomal conformation, histone posttranslational modifications, and more. While this certainly presents a challenging task, over the past few years many new and creative methods have been developed that now enable co-assay of these different aspects of chromatin at single cell resolution. This field is entering an exciting phase, where a confluence of technological improvements, decreased sequencing costs, and computational innovation are presenting new opportunities to dissect the diversity of chromatin states present in tissues, and how these states may influence gene regulation. In this review, I discuss the spectrum of current experimental approaches for multifactorial chromatin profiling, highlight some of the experimental and analytical challenges, as well as some areas for further innovation.

How to Listen Through a Wall: Lessons From Conducting Participatory Action Research in an Urban Prison

This project sought to understand the present-day experiences of individuals housed in prisons by utilizing Participatory Action Research (PAR) methods that partnered a university research team with individuals incarcerated in an urban correctional facility. The team assessed perceptions of the current environment by surveying people incarcerated in an urban prison. This article discusses the role of PAR methodologies from project initiation to finalization, explicitly focusing on coordination with prison and Department of Correction (DOC) administrative leadership and the value of including incarcerated individuals on the research team for successful change. Throughout the process, the team identified areas for improvement and innovations to improve the prison environment. This article provides a road map, lessons learned from conducting PAR in prison environments, and the power of partnering researchers and members of the researched population on one collaborative research team.

A Comprehensive Review of the Endometrial Receptivity Array in Embryo Transfer: Advancements, Applications, and Clinical Outcomes.

Embryo transfer is a pivotal procedure in assisted reproductive technologies (ART). Yet, the success of this process hinges on multiple factors, with endometrial receptivity playing a critical role in determining the likelihood of successful implantation. The endometrial receptivity array (ERA) is an advanced diagnostic tool designed to personalize embryo transfer timing by assessing the endometrium's receptivity. This review comprehensively examines the ERA, exploring its biological foundation, technological development, and clinical applications. The ERA's ability to analyze the expression of genes associated with endometrial receptivity offers a tailored approach to identifying the optimal window of implantation (WOI), particularly benefiting patients with recurrent implantation failure (RIF) or repeated unsuccessful in vitro fertilization (IVF) cycles. Clinical outcomes from ERA-guided embryo transfers indicate improvements in implantation rates and overall pregnancy success, although challenges such as result variability and cost-effectiveness persist. This review also discusses the latest advancements in ERA technology, including integrating genomic and transcriptomic analyses, non-invasive techniques, and using artificial intelligence (AI). Controversies regarding the widespread application of ERA and its necessity in all IVF cases are critically examined. By summarizing the current state of ERA in embryo transfer, this review aims to inform clinicians, researchers, and patients about its potential to enhance ART outcomes and to highlight areas for future research and innovation.

Comparative Analysis of Materials for Chassis Design in a Three-Wheeled Electric Vehicle

With the growing interest in sustainable transportation, three-wheeled electric vehicles have gained popularity as an eco-friendly mode of transportation. The design of the chassis is a critical aspect of ensuring the structural integrity and performance of these vehicles. This research paper presents a comparative evaluation of different materials for chassis design in three-wheeled electric vehicles. The objective of this study is to assess the suitability of various materials, including steel, aluminum, and carbon fiber composites, for chassis construction. The evaluation criteria encompass factors such as strength, weight, stiffness, durability, and cost. A systematic methodology is employed, including theoretical analysis, computer simulations, and practical testing, to evaluate and compare the performance of each material. The findings of this research provide valuable insights into the advantages and limitations of each material in the context of three-wheeled electric vehicle chassis design. The results assist in the selection of the most suitable material based on performance requirements, cost considerations, and sustainability goals. Furthermore, the research identifies potential areas for further improvement and innovation in chassis materials for future electric vehicle designs. The outcomes of this study aim to guide manufacturers, designers, and engineers in making informed decisions when selecting materials for chassis design, ultimately enhancing the safety, efficiency, and overall performance of three-wheeled electric vehicles. By contributing to the development of sustainable transportation solutions, this research promotes the transition towards a greener and more environmentally friendly mobility landscape.

Pavlovian safety learning: An integrative theoretical review.

Safety learning involves associating stimuli with the absence of threats, enabling the inhibition of fear and anxiety. Despite growing interest in psychology, psychiatry, and neuroscience, safety learning lacks a formal consensus definition, leading to inconsistent methodologies and varied results. Conceptualized as a form of inhibitory learning (conditioned inhibition), safety learning can be understood through formal learning theories, such as the Rescorla-Wagner and Pearce-Hall models. This review aims to establish a principled conceptualization of 'Pavlovian safety learning', identifying cognitive mechanisms that generate safety and the boundary conditions that constrain it. Based on these observations, we define Pavlovian safety learning as an active associative process, where surprising threat-omission (safety prediction error) acts as a salient reinforcing event. Instead of producing merely neutral or nonaversive states, safety learning endows stimuli with active positive associations to 'safety'. The resulting stimulus-safety memories counteract the influence of fear memories, promoting fear regulation, positive affect, and relief. We critically analyze traditional criteria of conditioned inhibition for their relevance to safety and propose areas for future innovation. A principled concept of Pavlovian safety learning may reduce methodological inconsistencies, stimulate translational research, and facilitate a comprehensive understanding of an indispensable psychological construct.

Compact Energy Storage Devices Developed from Waste-Derived Electrodes via Facile Recycling Technology

Indeed, the development of sustainable and renewable energy technologies is a critical aspect of addressing the challenges posed by pollution and climate change. Electrochemical energy storage devices, such as batteries and supercapacitors, play a crucial role in this transition by enabling the efficient storage and utilization of energy. The mention of nanomaterials-based electrodes highlights a fascinating area of research and innovation. Nanomaterials offer unique properties and advantages due to their small size, high surface area, short-diffusion path, rapid kinetics, enhanced conductivity, making them highly desirable for energy storage applications.Recycling waste to electrodes in compact energy storage device represents a particularly exciting frontier. Integrating energy storage into advance technology can enhance the portability and convenience of power sources, especially in the context of emerging technologies like wearable electronics and smart devices. However, challenges such as scalability, cost-effectiveness, and environmental impact must also be addressed to ensure the widespread adoption of these technologies. The emphasis on carbon-based nanomaterials, including graphene, carbon quantum dots, and activated carbon, as electrode materials is noteworthy. These materials show promise not only as negative electrodes but also as positive electrodes when combined with metal oxides, hydroxides, or sulphides, demonstrating their versatility in energy storage applications. Additionally, the innovative use of waste recycling, such as tires, shoots, and dry cells, for extracting carbon aligns with the broader goal of creating an eco-friendly environment. The focus on developing carbon-based electrodes from recycled waste for energy storage devices is commendable, as it not only addresses environmental concerns but also contributes to the creation of stable and efficient energy storage systems. In conclusion, this work on the generation of efficient carbon-based electrodes (graphene derived from different waste materials) for energy storage devices, showcases a multidisciplinary approach that considers both environmental sustainability and technological advancement. This research has the potential to contribute significantly to the ongoing efforts to create a more sustainable and efficient energy landscape.Key words: Recycling, Electrochemical, Carbon, Metal oxides, Energy storage, Compact devices

(Invited) Nanosecond Electrical Discharges in Liquids: Applications in the Synthesis of Nanoparticles, Including Nanoalloys

In recent decades, the field of nanotechnology has witnessed rapid growth, fueled by the exceptional physical, chemical, mechanical, and electrical properties of nanoscale materials. Nanomaterials have found applications across various domains, including catalysis, drug delivery, microelectronics, and more. Notably, plasma-based methods have emerged as promising avenues for nanomaterial synthesis, offering versatile approaches through both bottom-up and top-down techniques.One particularly innovative area of research is the plasma-liquid system, which has demonstrated remarkable efficiency in nanomaterial synthesis. This system involves the generation of plasma in a gas phase in contact with a liquid or directly within the liquid, sometimes aided by the introduction of bubbles. This communication has two goals: 1) present an overview of the physics of different discharge mechanisms, with a particular focus on the intriguing phenomena occurring at the interfaces, and 2) show different cases where nanomaterials of interest are produced. For instance, we will show that in-liquid spark discharges prouce nanoparticles through electrode erosion, and notably, the properties of these materials are highly sensitive to both the nature of the electrode and the composition of the liquid. In the second part, we introduce an innovative plasma-liquid system where a discharge can be produced at or close the interface of two immiscible liquids. In specific cases where the system is composed of a conductive solution (e.g. salty water) and a hydrocarbon liquid, spark discharges can be generated between a pin in liquid hydrocarbon and the surface of the conductive solution. This unique configuration facilitates therefore an interaction between a high-density plasma (generated in liquid) and a solution containing metal ions. At this stage, many reactions may occur and lead to the reduction of ions to produce nanomaterials. We found that the particles collected from hydrocarbon liquid are different from those collected from the solution, in terms of composition and size distribution. This finding suggests the triggering of different chemical reactions in each liquid, involving thus species with short- as well as long-lifetime species. Consequently, we adopted this approach to synthesize metal nanoparticles as well as binary and ternary nanoalloys, expanding the scope of possibilities in nanomaterial synthesis.

Flipping the Narrative: A Unifying Framework for Juvenile Court-based Forensic Social Work Practice

Professional social workers are trained in multiple competencies and occupy various positions within the forensic landscape. Unified by a code of ethics that emphasizes social justice and the protection and empowerment of marginalized populations and a philosophical approach that recognizes the interplay of individual and environmental factors, social work leadership in youth justice policy and practice is vital. This article proposes a unifying framework for macro, mezzo, and micro court-based forensic social work practice in the 21st century that draws from post-modern critical social work theory. The lifelong negative impacts of court involvement for young people are well documented and contribute to persistent societal inequities. Pre-disposition court practices can mitigate or further harm court-involved youth. “Flipping the Narrative” is a culturally relevant practice framework for evaluating and designing youth court practices that recognize the intersectionality of the identities and experiences of court-involved youth. The proposed framework incorporates the practical implications of Critical Theory, specifically Critical Race Theory, the Theory of African American Offending, and Queer Theory, and relevant practice approaches, such as Social Justice Youth Development and Narrative Therapy, to analyze current youth court practices, propose areas for further evaluation and innovation, and recommend practice enhancements for defense-based forensic social workers. The urgency for innovation in one New England state is illustrated through a case study.

Developing Learning Innovation of Digital Open Badge in Social Studies to Enhance Citizenship Characteristics of Secondary School Students

This study aims to synthesize theories and concepts related to educational management, personality traits, and citizenship characteristics evident in the education systems of the United Kingdom, Canada, the United States, Singapore, and Thailand; to develop an innovative model of open-badge digital social education to enhance the cultivation of citizenship characteristics among high school students in Chiang Mai; and to study the results of developing digital badge innovations to enhance the development of students’ personality traits and citizenship characteristics in the educational innovation area of Chiang Mai province. A mixed-method approach is employed in order to synthesize the universal core values that ensure societal peace within diverse communities from the curricula of the five countries. When comparing the results with the Thai context, it becomes apparent that the Thai curriculum still lacks precise definitions of “universal core values” and activities that instill these core values. Through purposive sampling, this study extracts the necessary values from the opinions of involved personnel and pilot schools in the Education Sandbox program in Chiang Mai. The results suggest that ten core values need to be addressed firmly in the Digital Open Badge learning innovation and guidelines for both in-class and out-of-class activities. The citizenship characteristics platform and guidelines in social studies are designed based on the 5Ts Action Learning model with 40 hours of observation. The outcomes demonstrate that overall satisfaction with the curriculum is high. Notable changes from interviews and observations indicate that responsibility and cooperation are the most significant changes in students’ character traits. These traits are expressed mostly at the individual level (35.02%), followed by the family level (29.39%), the community level (22.62%), and lastly, the global level (12.97%).

Effect of extrusion cooking on physical and thermal properties of instant flours: a review

The production of instant flour constitutes a fast-expanding sector, and, this is an innovative area, that is being modified adjusting continually its methodologies to enhance production efficiency, optimizing its resources, fostering innovation in its applications, and increasing its economic income. Among the methods widely cited for precooked flours production are spray drying, drum drying, and extrusion cooking, the latter emerging as a high-potential and versatile solution to produce such commodities. In this regard, a comprehensive understanding of the extrusion process, its mechanical principles, and its effects on the physical characteristics of extruded raw materials is necessary. Analyzing process parameters (specifical mechanical energy and mean residence time) is essential to achieve the desired outcomes. Furthermore, it was analyzed the effect of the process modification conditions (temperature, screw speed, and moisture content) on the physical characteristics of the extruded instant flours. This review offers insights into the most reported system parameters as Specifical Mechanical Energy (SME), Pressure, Torque and, physical properties assessed in different instant flour obtained by extrusion such as Water Absorption Index (WAI), Water Solubility Index (WSI), Swelling Power (SP), Rehydration Capacity, Wetting Capacity, Sinking, Dispersibility, Pasting properties, Thermal properties, and Color. The review summarized and discussed the behavior of the hygroscopic properties and the water affinity of different instant flours obtained by extrusion.