Synergistic Approaches Research Articles

Aconitine in Synergistic, Additive and Antagonistic Approaches

Aconitine is a highly poisonous C19-diterpenoid alkaloid identified and isolated from the species of the genus Aconitum. Aconitine is indicated in the treatment of cardiovascular diseases (CVDs) and, due to its neurotoxic effects, is a very effective drug in pain release. A total of 101 relevant scientific papers were manually searched on the Web of Science, Scopus, Science Direct, Google Scholar, PubMed and Dovepress databases and in the books available in the library of the Department of Natural Sciences, the National University of Science and Technology POLITEHNICA Bucharest, Pitesti University Centre, Romania. In combination treatments, aconitine shows antiarrhythmic and anti-inflammatory activity, a synergistic antiproliferative effect and decreased reactive oxygen species (ROS) generation, an improved biodistribution and bioavailability. Additionally, the entrapment of aconitine in engineered nanoparticles represents a promising method for reducing the toxicity of this alkaloid. This review provides, for the first time, a comprehensive picture of the knowledge and research on the synergistic, additive and antagonistic effects of aconitine in combination treatments applied in vivo or in vitro. The summarized studies represent important clues in addressing the multitude of knowledge, which can find their utility in practical and clinical applications.

Advances in hybrid strategies for enhanced photocatalytic water splitting: Bridging conventional and emerging methods

Significant efforts have been dedicated to hydrogen production through photocatalytic water splitting (PWS) over the past five decades. However, achieving commercially viable solar-to-hydrogen conversion efficiency in PWS systems remains elusive. These systems face intrinsic and extrinsic challenges, such as inadequate light absorption, insufficient charge separation, limited redox active sites, low surface area, and scalability issues in practical designs. To address these issues, conventional strategies including heterojunction engineering, plasmonics, hybridization, lattice defects, sensitization, and upconversion processes have been extensively employed. More recently, innovative hybrid strategies like photonic crystal-assisted and polarization field-assisted PWS have emerged, which improve light absorption and charge separation by harnessing the slow photon effect, multiple light scattering, and the piezoelectric, pyroelectric, and ferroelectric properties of materials. This review article aims to provide a comprehensive examination and summary of these new synergistic hybrid approaches, integrating plasmonic effects, upconversion processes, and photonic crystal photocatalysis. It also explores the role of temperature in suppressing exciton recombination during photothermic photocatalysis. This article also highlights emerging strategies such as the effects of magnetic fields, periodic illumination, many-body large-hole polaron, and anapole excitations, which hold significant potential to advance PWS technology and facilitate renewable hydrogen generation.

Nanotechnology in Bioremediation: Synergistic Approaches for Targeted Contaminant Removal

Nanotechnology in Bioremediation: Synergistic Approaches for Targeted Contaminant Removal

Neuroimaging meta-analyses reveal convergence of interoception, emotion, and social cognition across neurodegenerative diseases.

Simultaneous interoceptive, emotional, and social cognition deficits are observed across neurodegenerative diseases. Indirect evidence suggests shared neurobiological bases underlying these impairments, termed the allostatic-interoceptive network (AIN). However, no study has yet explored the convergence of these deficits in neurodegenerative diseases or examined how structural and functional changes contribute to cross-domain impairments. A PRISMA Activated Likelihood Estimate (ALE) metanalyses encompassed studies meeting inclusion criteria: interoception, emotion, or social cognition tasks; neurodegenerative diseases (behavioral variant frontotemporal dementia (bvFTD), primary progressive aphasias (PPAs) Alzheimer's disease (AD), Parkinson's Disease (PD), multiple sclerosis (MS)); and neuroimaging (structural: MRI voxel-based morphometry; functional: fMRI and FDG-PET). From 20,593 studies, 170 met inclusion criteria (58 interoception, 65 emotion, and 47 social cognition) involving 7032 participants (4963 patients and 2069 healthy controls). In all participants combined, conjunction analyses revealed AIN involvement of the insula, amygdala, orbitofrontal cortex, anterior cingulate, striatum, thalamus, and hippocampus across domains. In bvFTD this conjunction was replicated across domains, with further involvement of the temporal pole, temporal fusiform cortex, and angular gyrus. A convergence of interoception and emotion in the striatum, thalamus, and hippocampus in PD and the posterior insula in PPAs was also observed. In AD and MS, disruptions in the AIN were observed during interoception, but no convergence with emotion was identified. Neurodegeneration induces dysfunctional AIN across atrophy, connectivity, and metabolism, more accentuated in bvFTD. Findings bolster the predictive coding theories of large-scale AIN, calling for more synergistic approaches to understanding interoception, emotion, and social cognition impairments in neurodegeneration.

Synergistic conservation approaches for nurturing soil, food security and human health towards sustainable development goals

Using chemical fertilizers extensively in small farms has helped increase crop yields, supporting food security and economic growth. However, recent studies show that these fertilizers are often used inefficiently and inconsistently. This leads to environmental harm, unbalanced soil nutrients, and lower-quality food production. These issues threaten food security, which is vital for human survival and may lead to the abandonment of arable land. This situation calls for a significant shift in soil conservation research to better connect scientific findings with practical conservation methods, ensuring that agricultural progress goes hand in hand with environmental sustainability. Effective use of nitrogen (N), phosphorus (P), and potassium (K) fertilizers is vital for both environmental sustainability and food security. Correcting nutritional imbalances, especially the disrupted N/P ratio caused by faulty fertilization practices, is key to ensuring a balanced nutrient supply. These imbalances have a substantial effect on aquatic and terrestrial ecosystems, altering their functionality, biodiversity and human nutrition Therefore, adopting balanced fertilization techniques is essential to combine environmental sustainability with global food security and achieve the Sustainable Development Goals (SDGs).To optimize nutrient consumption and production efficiency, regulations should be enacted to enforce the 4R principle, which involves applying the right nutrient source at the appropriate rate, time, method and location. This article emphasizes the connections between current agricultural practices, land use, fertilizer application, soil degradation, and future challenges. It promotes environmentally friendly farming methods that recognize the vital links between soil quality, food security, human health, and environmental sustainability.

COLLECTIVE INTELLIGENCE PHENOMENON STUDY AS A PRIORITY FOR ENSURING INNOVATIVE DEVELOPMENT OF ENTERPRISES

Objective. The purpose of the article is a critical analysis of the main approaches to collective intelligence as a priority for ensuring the innovative development of enterprises and the proposals development in the context of its effective use. Methodology. The development of a theoretical and methodological approach to the study of collective intelligence should be based on the business structures practical activity, the theory of collective intelligence phenomenon of individuals and their development in innovative activities; theories of organizational and competitive advantages; motivation, creativity and innovation. General and special methods are used: dialectical cognition; deductions and inductions; generalization and scientific abstraction; synergies; morphological analysis; competence, dialectical and synergistic approaches. Results. A scientific position has been created regarding the collective intelligence effective use as a priority for ensuring the innovative development of enterprises. An analysis of collective intelligence status essence and subject, the causes, mechanisms and consequences of its formation was carried out. It is shown that in contrast to the technocratic approach, which mixes collective intelligence with concepts of artificial intelligence, neural networks, big data, etc., it can be understood from a humanistic perspective as an integral set of human consciousnesses. A new understanding of the essence of the category “collective intelligence” is proposed. The issue of collective intelligence integration with computer systems and technologies framing is considered. The author emphasizes people-centeredness, which plays an important role in the intellectual and innovative activity of economic entities. The scientific novelty. The methodological foundation of collective intelligence nature is developed. The conceptual approach to the application of collective intelligence in order to ensure the innovative development of enterprises is substantiated. Measures for the development of collective intelligence are proposed, which gives the research practical value. Practical significance of the obtained results. The results of theoretical developments and practical recommendations of the author can be used to ensure the innovative development of enterprises due to the development of enterprises collective intelligence and their network associations.

What Do We Mean When We Say "Insight"? A Formal Synthesis of Existing Theory.

Researchers have derived many theoretical models for specifying users' insights as they interact with a visualization system. These representations are essential for understanding the insight discovery process, such as when inferring user interaction patterns that lead to insight or assessing the rigor of reported insights. However, theoretical models can be difficult to apply to existing tools and user studies, often due to discrepancies in how insight and its constituent parts are defined. This article calls attention to the consistent structures that recur across the visualization literature and describes how they connect multiple theoretical representations of insight. We synthesize a unified formalism for insights using these structures, enabling a wider audience of researchers and developers to adopt the corresponding models. Through a series of theoretical case studies, we use our formalism to compare and contrast existing theories, revealing interesting research challenges in reasoning about a user's domain knowledge and leveraging synergistic approaches in data mining and data management research.

Breaking the Perfluorooctane Sulfonate Chain: Piezocatalytic Decomposition of PFOS Using BaTiO3 Nanoparticles

Per‐ and polyfluoroalkyl substances (PFAS) pose significant environmental and health risks due to their ubiquitous presence and persistence in water systems. Herein, the efficacy of piezocatalysis using barium titanate nanoparticles under ultrasound irradiation for the degradation and defluorination of perfluorooctane sulfonate (PFOS) in water is investigated. The research demonstrates a substantial 90.5% degradation and 29% defluorination of PFOS after 6 h of treatment, highlighting the potential of piezocatalysis as a promising approach for PFAS degradation. Additionally, the quantification of degradation products elucidates the transformation pathways of PFOS, suggesting a stepwise chain‐shortening mechanism. The findings underscore the importance of continued research in optimizing piezocatalytic processes and exploring synergistic approaches with other advanced oxidation methods to effectively address PFAS contamination challenges. These efforts are essential for advancing sustainable water treatment strategies and mitigating the environmental and health hazards associated with PFAS contamination.

Synergistic approaches to NOx reduction: Fuel innovations and engine modifications in biomass waste-fueled CI engines

Achieving low nitric oxide emissions in biomass fuel combustion remains a challenge. This study aims at enhancement of NOx reduction by employing a sequence of strategies to arrive at the optimal combination of techniques. This work explores the role of nano particle emulsion, change in profile of combustion chamber geometry, exhaust gas recirculation rates and contribution of selective catalytic reduction (SCR) in the combustion and emission phenomena of CI engine. Cerium oxide and zinc oxide nanoparticles are added in emulsion form at 50 ppm and 100 ppm dosage to grapeseed oil biodiesel. Furthermore, combustion chamber geometry is modified to shallow depth and toroidal shape and tested with ZnO 100 nano blend of grapeseed oil biodiesel (GSBD). EGR at 5 %, 10 %, 15 % and 20 % rates are included in the toroidal shape after concluding that profile as the best performing geometry. A customized model of SCR is implemented to the above combination of ZnO fuel blend, toroidal combustion chamber geometry and 5 % EGR to further reduce NOx emission. SCR device is fabricated with suitable flow and injection parameters with dual type mixers to enhance its NOx conversion efficiency. Overall, this research work gives useful insights for development of NOx reduction strategies in biomass fuel combustion in CI engines. A comprehensive reduction of NOx from 9.3 g/kWh to 2.05 g/kWh is noticed at the end of cumulative set of experiments.

Integration of Bite Mark Microbiome Analysis with Forensic DNA Profiling: Advancements, Challenges, and Synergistic Approaches.

Bite mark analysis plays a pivotal role in forensic investigations, by helping to identify suspects and establish links between individuals and crime scenes. However, traditional bite mark methodologies face significant challenges due to issues with reliability and subjectivity. Recent advances in microbiome analysis, which involves identifying and characterizing the microbial communities found in bite marks, have led to the emergence of a promising tool for forensic investigations. The integration of microbiome analysis with conventional DNA profiling enables more accurate interpretation of bite mark evidence in forensic investigations. This review provides an in-depth look at the integration of bite mark microbiome analysis with forensic DNA profiling. It also addresses the challenges and strategies involved in microbiome-based bite mark analysis for forensic purposes.

Recent perspectives on the synergy of mesenchymal stem cells with micro/nano strategies in peripheral nerve regeneration-a review.

Despite the intrinsic repair of peripheral nerve injury (PNI), it is important to carefully monitor the process of peripheral nerve repair, as peripheral nerve regeneration is slow and incomplete in large traumatic lesions. Hence, mesenchymal stem cells (MSCs) with protective and regenerative functions are utilized in synergy with innovative micro/nano technologies to enhance the regeneration process of peripheral nerves. Nonetheless, as MSCs are assessed using standard regenerative criteria including sensory-motor indices, structural features, and morphology, it is challenging to differentiate between the protective and regenerative impacts of MSCs on neural tissue. This study aims to analyze the process of nerve regeneration, particularly the performance of MSCs with and without synergistic approaches. It also focuses on the paracrine secretions of MSCs and their conversion into neurons with functional properties that influence nerve regeneration after PNI. Furthermore, the study explores new ideas for nerve regeneration after PNI by considering the synergistic effect of MSCs and therapeutic compounds, neuronal cell derivatives, biological or polymeric conduits, organic/inorganic nanoparticles, and electrical stimulation. Finally, the study highlights the main obstacles to developing synergy in nerve regeneration after PNI and aims to open new windows based on recent advances in neural tissue regeneration.

Comparison of Perimeter Delineation Methods for Remote Sensing Fire Spot Data in Near/Ultra-Real-Time Applications

Forest fires cause extensive damage to ecosystems, biodiversity, and human property, posing significant challenges for emergency response and resource management. The accurate and timely delineation of forest fire perimeters is crucial for mitigating these impacts. In this study, methods for delineating forest fire perimeters using near-real-time (NRT) remote sensing data are evaluated. Specifically, the performance of various algorithms—buffer, concave, convex, and combination methods—using VIIRS and MODIS datasets is assessed. It was found that increasing concave α values improves the matching percentage with reference areas but also increases the commission error (CE), indicating overestimation. The results demonstrate that combination methods generally achieve higher matching percentages, but also higher CEs. These findings highlight the trade-off between improved perimeter accuracy and the risk of overestimation. The insights gained are significant for optimizing sensor data alignment techniques, thereby enhancing rapid response, resource allocation, and evacuation planning in fire management. This research is the first to employ multiple algorithms in both individual and synergistic approaches with NRT or ultra-real-time (URT) active fire data, providing a critical foundation for future studies aimed at improving the accuracy and timeliness of forest fire perimeter assessments. Such advancements are essential for effective disaster management and mitigation strategies.

Carbon emission efficiency and regional synergistic peaking strategies in Beijing-Tianjin-Hebei region

In the context of China's resolute advancement of dual carbon goals (carbon peaking and carbon neutrality), urban agglomerations emerge as pivotal areas for carbon emission mitigation due to their dense economic activities and rapid urbanization. Previous studies overlook regional disparities in carbon emission prediction, disregarding the variations and policy directives across different provinces or cities. Therefore, this study addresses the research gap by investigating synergistic strategies to foster regional carbon peaking within the Beijing-Tianjin-Hebei region. Employing a novel approach tailored to regional segmentation policies, we provide more accurate predictions reflecting real-world conditions and distinct policy landscapes. Meanwhile, we integrate carbon emission efficiency into our analysis, emphasizing the dual goals of emission reduction and quality economic growth. Our empirical investigation in the Beijing-Tianjin-Hebei region, utilizing the Super-SBM and extended STIRPAT models, reveals upward trends in carbon emission efficiency, with varying trajectories across cities. Scenario simulations informed by the "14th Five-Year Plan" demonstrate that under the green development scenario, carbon peaking accelerates, alongside enhanced efficiency, supporting long-term emission reduction. Moreover, we design seven regional synergy carbon peak strategies for scenario simulations to facilitate the rational layout of dual carbon policies for collaborative development. We find that synergistic strategies have proven more effective in reducing regional carbon emission and increasing efficiency than strategies focusing solely on economic development or energy conservation. This innovative finding emphasizes the necessity of comprehensive green development in the Beijing-Tianjin-Hebei region and provides strong evidence for policymakers. Our research contributes to targeted strategies for improving carbon emission efficiency and reducing emissions, emphasizing the importance of synergistic approaches for regional carbon reduction.

A Review on the Synergistic Approaches for Heavy Metals Bioremediation: Harnessing the Power of Plant-Microbe Interactions

A Review on the Synergistic Approaches for Heavy Metals Bioremediation: Harnessing the Power of Plant-Microbe Interactions

Digital and International Growth Hacking Business Models: Born Globals, Born Digitals, and Synergies

This research delves into growth hacking models embraced by Born Digitals, Born Globals, and other firms, emphasizing the dynamic interplay between innovation and internationalization. Despite their unique origins and focuses, these concepts frequently intersect in business strategies, models, and entrepreneurial pursuits. Growth hacking models can be conceptually categorized based on the degree of digital innovation and the scope of business, whether local or global. This study underscores the pivotal role of growth hacking across diverse company profiles, transcending the domain of Born Digitals reliant on digital platforms. Various strategic pathways within each company's business model showcase diverse innovation routes to achieving growth and global presence. The analysis accentuates the importance of hybridity or synergistic approaches in growth hacking business model innovation within today's market landscape, offering valuable managerial insights for growth-oriented companies from their inception. It advocates for companies to embrace innovative and international strategies for enduring success, while judiciously balancing considerations of scalability and profitability against novelty and efficiency in business model design.

A win-win platform: Stabilized black phosphorous nanosheets loading gallium ions for enhancing the healing of bacterial-infected wounds through synergistic antibacterial approaches.

Bacterial infection is the most common complication in wound healing, highlighting an urgent need for the development of innovative antibacterial technologies and treatments to address the growing threats posed by bacterial infections. Black phosphorus nanosheets (BPNSs), as a promising two-dimensional nanomaterial, have been utilized in treating infected wounds. However, BP's limited stability restricts its application. In this study, we enhance BP's stability and its antibacterial properties by anchoring gallium ions (Ga3+) onto BP's surface, creating a novel antibacterial platform. This modification reduces BP's electron density and enhances its antibacterial capabilities through a synergistic effect. Under near-infrared (NIR) irradiation, the BP/Ga3+ combination exerts antibacterial effects via photothermal therapy (PTT) and photodynamic therapy (PDT), while also releasing Ga3+. The Ga3+ employ a 'Trojan horse strategy' to disrupt iron metabolism, significantly boosting the antibacterial efficacy of the complex. This innovative material offers a viable alternative to antibiotics and holds significant promise for treating infected wounds and aiding skin reconstruction.

APPROACHES TO PREPARING FUTURE TEACHERS FOR EDUCATIONAL ACTIVITY

This article describes the preparation of students of higher educational institutions for educational activities: systemic, activity-oriented, synergistic, hermeneutic and psychotherapeutic approaches.

Synergistic Approaches for Enhanced Remediation of Polluted River Sediment

Synergistic Approaches for Enhanced Remediation of Polluted River Sediment

Improving age-friendly advance care planning in primary care: Outcomes from a Pacific Northwest learning collaborative.

Advance care planning (ACP) is the process of having conversations with patients to ensure preferences are known and support patient healthcare goals. ACP and the Age-Friendly Health Systems (AFHS) Initiative's, "What Matters," are synergistic approaches to patient-centered conversations. Implementation and measurement of ACP in primary care (PC) are variables in quality and consistency. We examined whether participation in an ACP learning collaborative (LC) would improve knowledge and ability to conduct ACP discussions and increase the frequency of documented ACP in participating practices. The WWAMI (Washington, Wyoming, Alaska, Montana, and Idaho) region Practice and Research Network (WPRN) and the Northwest Geriatrics Workforce Enhancement Center collaboratively organized a 9-month virtual LC. It consisted of 4 synchronous, 1.5-h sessions, technical support, and a panel of ACP experts. A Wilcoxon rank sum test assessed differences in knowledge from a pre-post survey. Documentation of ACP in the EHR was collected after at least one plan-do-study-act cycle. We enrolled 17 participants from 6 PC practices (3 hospital-affiliated; 3 Federally Qualified Health Centers) from the WPRN. Two practices did not complete all LC activities. There was a trend toward increased ACP knowledge and skills overall especially in having discussions patients and families (pre-mean 2.9 [SD = 0.7]/post-mean 4.0[SD = 1.1], p < 0.05). 4/6 practices observed an increase in EHR documentation post-collaborative (median 16.3%, IQR 1.3%-36.9%). The LC increased PC providers knowledge and skills of ACP and AFHS's What Matters, reported ACP EHR documentation, and contributed to practice change.

Mechanisms of Photoredox Catalysis Featuring Nickel-Bipyridine Complexes.

Metallaphotoredox catalysis can unlock useful pathways for transforming organic reactants into desirable products, largely due to the conversion of photon energy into chemical potential to drive redox and bond transformation processes. Despite the importance of these processes for cross-coupling reactions and other transformations, their mechanistic details are only superficially understood. In this review, we have provided a detailed summary of various photoredox mechanisms that have been proposed to date for Ni-bipyridine (bpy) complexes, focusing separately on photosensitized and direct excitation reaction processes. By highlighting multiple bond transformation pathways and key findings, we depict how photoredox reaction mechanisms, which ultimately define substrate scope, are themselves defined by the ground- and excited-state geometric and electronic structures of key Ni-based intermediates. We further identify knowledge gaps to motivate future mechanistic studies and the development of synergistic research approaches spanning the physical, organic, and inorganic chemistry communities.