Development Of Strategies Research Articles

Abnormally activated wingless/integrated signaling modulates tumor-associated macrophage polarization and potentially promotes hepatocarcinoma cell growth

In this article, we comment on the article by Huang et al . The urgent development of new therapeutic strategies targeting macrophage polarization is critical in the fight against liver cancer. Tumor-associated macrophages (TAMs), primarily of the M2 subtype, are instrumental in cellular communication within the tumor microenvironment and are influenced by various signaling pathways, including the wingless/integrated (Wnt) pathway. Activation of the Wnt signaling pathway is pivotal in promoting M2 TAMs polarization, which in turn can exacerbate hepatocarcinoma cell proliferation and migration. This manuscript emphasizes the burgeoning significance of the Wnt signaling pathway and M2 TAMs polarization in the pathogenesis and progression of liver cancer, highlighting the potential therapeutic benefits of inhibiting the Wnt pathway. Lastly, we point out areas in Huang et al ’s study that require further research, providing guidance and new directions for similar studies.

Gut Microbiota Disorders and Metabolic Syndrome: Tales of a Crosstalk Process

Abstract The microbiota in humans consists of trillions of microorganisms that are involved in the regulation of the gastrointestinal tract and immune and metabolic homeostasis. The gut microbiota (GM) has a prominent impact on the pathogenesis of metabolic syndrome (MetS). This process is reciprocal, constituting a crosstalk process between the GM and MetS. In this review, GM directly or indirectly inducing MetS via the host–microbial metabolic axis has been systematically reviewed. Additionally, the specifically altered GM in MetS are detailed in this review. Moreover, short-chain fatty acids (SCFAs), as unique gut microbial metabolites, have a remarkable effect on MetS, and the role of SCFAs in MetS-related diseases is highlighted to supplement the gaps in this area. Finally, the existing therapeutics are outlined, and the superiority and shortcomings of different therapeutic approaches are discussed, in hopes that this review can contribute to the development of potential treatment strategies.

A Scene–Object–Economy Framework for Identifying and Validating Urban–Rural Fringe Using Multisource Geospatial Big Data

Rapid urbanization has led to the emergence of urban–rural fringes, complex transitional zones that challenge traditional urban–rural dichotomies. While these areas play a crucial role in urban development, their precise identification remains a significant challenge. Existing methods often rely on single-dimensional metrics or administrative boundaries, failing to capture the multi-faceted nature of these zones. This study introduces a novel “Scene–Object–Economy” (SOE) framework to address these limitations and enhance the precision of urban–rural fringe identification. Our approach integrates multisource geospatial big data, including remote sensing imagery, nightlight data, buildings, and Points of Interest (POI), leveraging machine learning techniques. The SOE framework constructs feature from three dimensions: scene (image features), object (buildings), and economy (POIs). This multidimensional methodology allows for a more comprehensive and nuanced mapping of urban–rural fringes, overcoming the constraints of traditional methods. The study demonstrates the effectiveness of the SOE framework in accurately delineating urban–rural fringes through multidimensional validation. Our results reveal distinct spatial patterns and characteristics of these transitional zones, providing valuable insights for urban planners and policymakers. Furthermore, the integration of dynamic population data as a separate layer of analysis offers a unique perspective on population distribution patterns within the identified fringes. This research contributes to the field by offering a more robust and objective approach to urban–rural fringe identification, laying the groundwork for improved urban management and sustainable development strategies. The SOE framework presents a promising tool for future studies in urban spatial analysis and planning.

Consumer style inventory (CSI) re-examined: The case of millennial decision-making style in a developing market

This study investigates the buying styles of young consumers, especially the millennials—Gen Y, and Gen Z whose idiosyncrasies and consumption peculiarities are quite different from the older generations. Besides Sproles and Kendall’s eight (8) consumer-style inventory dimensions, this study presents new dimensions and develops six constructs that define young consumers’ decision-style inventory in a developing market. The study population consisted of all younger consumers—Gen Y, and Gen Z in Lagos State, Nigeria. One hundred and twenty-five (125) respondents were selected randomly across all 20 Local Governments in Lagos State, Nigeria. Factor analyses through varimax rotation, latent root criterion (eigenvalue = 1), screen plot test and the percentage of variance were conducted to determine the significant factors to retain among the variables. The findings clearly showed that newly developed CSI constructs in this study (sexiness, trendiness, global branding, smartness, socialisation and entertainment) were strong and significant among young consumers’ decision-making styles. The six (6) constructs developed showed that the younger consumers’ consumption styles are evolving, becoming sophisticated and relatively dynamic, hence the reliance on Sproles and Kendall’s dimensions to measure the younger consumers’ consumption decision styles will be inadequate in business/behaviour strategy development. The dimensions of entertainment, sexy, social, trendy, smartness and global branding variables are mostly underpinned and dominate considerations in purchase decision styles and behaviours among young consumers.

Bibliometric Analysis of Spline Regression Model for Trend Mapping and Strategy Development Research Using Vosviewer

Bibliometric analysis is a quantitative method used to measure and analyze scientific literature. This technique involves the collection and analysis of publication data, such as journal articles, books, and conferences, to evaluate and understand patterns of scientific communication, research productivity, author collaboration, journal impact, and trends within a scientific field. Bibliometric analysis has a limitation in that it is challenging to visualize effectively, necessitating the use of software for proper visualization. Therefore, this article discusses bibliometric analysis on spline regression for trend mapping and strategy development using VOSviewer software. The research results show that the visualization of spline regression keywords with VOSviewer can help in understanding patterns of relationships between variables, research trends, and network structures in scientific literature. Based on the analysis results, bibliometric analysis on spline regression can be visualized in trend mapping, which can aid in planning further research strategies, including identifying collaboration opportunities and underexplored research areas.

The Effect of Corporate Social Responsibility Characteristics on Employee Green Behavior: A Moral Emotions Perspective

Shaping green employees is a source of sustainable competitive advantage for enterprises. However, previous studies have lacked consideration of the moral aspects of employee green behavior (EGB), thus ignoring the mechanism of employee moral psychology, especially the important impact of moral emotions on EGB. Based on the affective events theory, we built a moderated mediation model to test how corporate social responsibility characteristics (CSRCs) affect EGB and to explore the role of organizational pride (OP) and the environmental passion climate (EPC) in this process. SPSS25.0 and Mplus8.0 were used to analyze data from 267 valid questionnaires. The results show that CSRCs' positive effect required EGB and OP to play a mediating role in the relationship between them. In addition, EPC had a negative moderating effect on the effect of OP on required EGB. These results expand the theoretical territory of EGB from the perspective of moral emotions. In practice, the results provide a moral motivation for cultivating employees’ ecological literacy and stimulating EGB as well as management strategies for organizational environmental protection practice and green sustainable development.

Addressing Urban Sprawl: is Densification the Solution? A Case Study of Sétif, Algeria

Objectives: The rapid and uncontrolled urban growth in Sétif, northeastern Algeria, has resulted in horizontal densification, continual expansion, and the conversion of agricultural land into urban areas. This transformation highlights the need for effective territorial strategies to manage urban growth sustainably. The primary objective of this study is to promote urban densification through concepts like "inward urbanisation" and "building the city within the city," aiming to optimise land use and counter the negative impacts of urban sprawl. Methods: To address the challenges of urban sprawl and its environmental impacts, the study employs a morphological approach. A Geographic Information System (GIS) is utilised in conjunction with data from the General Census of Population and Housing (RGPH) to analyse spatiotemporal changes in Sétif. This methodological approach enables a detailed examination of the city's morphological and demographic evolution, providing insights into patterns of urban expansion and densification. Results: The findings reveal various strategies for urban development in Sétif, focusing on alternatives to traditional urban density and sprawl. The study identifies and suggests the implementation of new, dense, and hybrid urban forms that align with sustainable development goals. These urban forms are designed to enhance the city’s livability while respecting societal needs and environmental considerations. The strategies proposed address the necessity for adaptable urban designs that support a more compact, resource-efficient city model. Conclusion: This research underscores the importance of rethinking urban planning strategies to manage rapid urbanisation in Sétif. The proposed strategies are essential for transforming Sétif into a dense, sustainable, and appealing urban environment. The study advocates for a shift from expansive urban growth to a densification model that promotes sustainability and aligns with the evolving expectations of the city’s residents.

Nickel‐Catalyzed Reductive Cross‐Coupling of α–Trifluoromethylated Alkyl Electrophiles and Allylic Sulfones

AbstractFluorinated motifs are commonly found in drugs and agrochemicals. The inclusion of fluorine‐containing motifs in drug candidates during lead optimization has become a valuable strategy in pharmaceutical research and development. Significant research efforts have been dedicated to synthesizing molecules with a trifluoromethyl (CF3−) group on a stereogenic carbon. Herein, we disclose a mild and efficient nickel‐catalyzed reductive cross‐coupling between α–trifluoromethyl alkyl bromides and allylic sulfones, enabling the efficient synthesis of α–trifluoromethyl homoallylic alkanes. This reaction featuring base‐free, mild conditions, a broad substrate scope, and high functional group tolerance. The synthetic versatility of this approach is further underscored by its successful application in the late‐stage functionalization of a range of drug molecules. Our preliminary mechanistic study suggests that this allylation process operates through a radical intermediate.

Stress mindset and nurses' sleep quality: mediating effects of stress overload and anxiety.

Previous studies have shown that overall sleep quality among Chinese nurses is relatively low, with a sleep disorder prevalence rate of approximately 66.4%. Against the backdrop of healthcare reforms, China has been striving to improve the mental health and sleep quality of nurses. Stress mindset can influence how individuals respond to stress, but there is limited research on how stress mindset affects nurses' sleep quality. This study aims to explore the impact of stress mindset on sleep quality among nurses, as well as the mediating roles of stress overload and anxiety in this relationship. The study was conducted online using a questionnaire from February 18 to February 22, 2024. It utilized the Stress Mindset Measure (SMM), the Stress Overload Scale-Short (SOS-S), the Generalized Anxiety Disorder 7-item scale (GAD-7), and the Pittsburgh Sleep Quality Index (PSQI) to survey 441 nurses in three regions of China: Chongqing, Hunan, and Shandong (M = 34.39, SD = 7.82, 95.7% female). A chain mediation model was employed to examine the mediating roles of stress overload and anxiety in the relationship between stress mindset and sleep quality. The participants' average sleep quality score was 7.18 ± 3.47. Nurses' stress mindset was significantly negatively correlated with both stress overload and anxiety, and significantly positively correlated with sleep quality. Stress overload was significantly positively correlated with anxiety and significantly negatively correlated with sleep quality. Anxiety was also significantly negatively correlated with sleep quality. The direct effect of nurses' stress mindset on sleep quality was significant (effect size = -0.10, 95% CI: -0.19 to -0.01), as were the indirect effects through stress overload (effect size = -0.05, 95% CI: -0.11 to -0.01) and anxiety (effect size = -0.09, 95% CI: -0.13 to -0.05), along with their chain mediation effect (effect size = -0.10, 95% CI: -0.14 to -0.06). Our study demonstrates that a higher level of nurses' stress mindset is associated with better sleep quality, with stress overload and anxiety mediating this relationship. A positive stress mindset helps nurses cope more effectively with professional challenges and reduces anxiety, leading to improved sleep quality. Healthcare institutions should therefore prioritize fostering positive stress mindsets in nurses, encouraging regular psychological training and workshops to support the development of effective coping strategies.

Progressive Fabrication of a Pt‐Based High‐Entropy‐Alloy Catalyst toward Highly Efficient Propane Dehydrogenation

High‐entropy alloys (HEAs) have emerged as burgeoning heterogeneous catalysts due to their vast material space, unique structure, and superior stability. However, the dominant trial‐and‐error approaches hamper the exploration of efficient catalysts, necessitating the development of rational design strategies. Here, we report a progressive approach to the design and fabrication of HEA catalysts guided by alloying effects toward propane dehydrogenation. Cu, Sn, Au, and Pd are selected and demonstrated to induce dilution, encapsulation, surface enrichment, and inhomogeneity effects on Pt. The fabricated HEA, PtCuSnAuPd/SiO2, exhibits excellent activity, selectivity, and stability. The propylene formation rates reach 256 and 390 molC3H6 gPt−1 h−1 at 550 and 600 °C, respectively. Systematic characterizations reveal that the random elemental mixing, structural stability, and high Pt exposure promote the exposure of abundant stable isolated Pt sites. This work comprehensively explores the rational design and fabrication of HEA catalysts from a unique perspective, offering opportunities for developing advanced catalysts.

Effect of wild-type vaccine doses on BA.5 hybrid immunity, disease severity, and XBB reinfection risk.

Vaccination against the wild-type (WT) severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus did not produce detectable levels of neutralizing antibodies (NAbs) against the BA.5 strain before it emerged. However, coronavirus disease-2019 (COVID-19) severity varied highly between unvaccinated, partially vaccinated, and fully vaccinated individuals, for unknown reasons. We assessed the severity of BA.5 infection and the risk of XBB strain reinfection and measured serum levels of NAbs against WT, BA.5, and XBB.1.9.1 SARS-CoV-2 strains at varying time points in 1,373 individuals who received zero, one, two, or three WT vaccine doses. We found that two to three WT doses significantly increased WT and BA.5 NAb levels and reduced the incidence of COVID-19-associated pneumonia upon BA.5 strain infection compared to zero to one dose. Regarding XBB reinfection, those who received two to three doses and were infected with the BA.5 variant exhibited a significantly lower reinfection risk compared to those who received zero to one dose. RNA analysis revealed that the differentially expressed genes between the two to three dose and unvaccinated groups were enriched in B cell activation, cytokine-cytokine receptor interaction, complement, and monocyte activation functions-indicating that vaccination increased the antibody response and reduced inflammation. Our results suggest that multiple antigen exposures to either matched or unmatched SARS-COV-2 variants, through vaccination or infection, may be necessary to achieve significant immune imprinting.IMPORTANCEThe administration of coronavirus disease-2019 (COVID-19) vaccines that do not perfectly match the viral strains that individuals become infected with has been found to impact the resultant illness severity-although the precise mechanism underlying this phenomenon remains unclear. We assessed viral clearance, as well as serum levels of inflammatory cytokines and neutralizing antibodies (NAbs) against wild-type, BA.5, and XBB.1.9.1 variants of the severe acute respiratory syndrome coronavirus 2 among individuals who received varying doses of such strain-mismatched vaccines. Notably, vaccination with ≥2 doses of strain-mismatched COVID-19 vaccines appeared to stimulate the production of specific NAbs during infection with new variants, as well as attenuate the inflammatory response and enhance viral clearance. Such vaccination regimens can also reduce the risk of reinfection. These findings may be important for guiding the development of future COVID-19 vaccination strategies that target both matched and mismatched viral variants.

Inhibition of Hedgehog Signaling Ameliorates Severity of Chronic Pancreatitis in Experimental Mouse Models.

Chronic pancreatitis (CP) is a fibro-inflammatory disease of the pancreas with no specific cure. Research highlighting the pathogenesis and especially the therapeutic aspect remains limited. Aberrant activation of developmental pathways in adults have been implicated in several diseases. Hedgehog pathway is a notable embryonic signaling pathway, known to promote fibrosis of various organs when over-activated. The aim of this study is to explore the role of hedgehog pathway in the progression of CP and evaluate its inhibition as a novel therapeutic strategy against CP. CP was induced in mice by repeated injections of L-arginine or Caerulein in two separate models. Mice were administered with the FDA approved pharmacological hedgehog pathway inhibitor, Vismodegib during or after establishing the disease condition to inhibit hedgehog signaling. Various parameters of CP were analyzed to determine the effect of hedgehog pathway inhibition on the severity and progression of the disease. Our study shows that hedgehog signaling was over-activated during CP and its inhibition was effective in improving the histopathological parameters associated with CP. Vismodegib administration not only halted the progression of CP but was also able to resolve already established fibrosis. Additionally, inhibition of hedgehog signaling resulted in reversal of pancreatic stellate cell activation ex vivo. Conclusions: Findings from our study justify conducting clinical trials using Vismodegib against CP and thus, could lead to development of novel therapeutic strategy for the treatment of CP.

Assessment of unintentional acute pesticide poisoning among smallholder vegetable farmers in Trinidad and Jamaica

Poisoning caused by pesticides is widely recognized as a major public health problem among smallholder farmers and rural communities, including in the Caribbean. However, a lack of quality data impedes understanding of the problem and hampers the development of effective strategies for its management. To better understand the prevalence of unintentional acute pesticide poisoning (UAPP) in Trinidad and Tobago and Jamaica and the pesticides and practices involved, we conducted a cross-sectional survey of 197 and 330 vegetable farmers in Trinidad and Jamaica, respectively. The findings from this study revealed a high incidence of self-reported health effects from occupational pesticide exposure, with 48 and 16% of respondents, respectively, experiencing symptoms of UAPP within the previous 12 months. Furthermore, the substantial proportion of UAPP incidents were associated with a few highly hazardous pesticides (HHPs), particularly lambda-cyhalothrin, acetamiprid, and profenofos in Jamaica, and alpha-cypermethrin, paraquat and lambda-cyhalothrin in Trinidad. Given the well-documented adverse effects of these chemicals on human health, the results of this study should be of significant concern to health authorities in Jamaica and Trinidad. This clearly indicates an urgent need for improved regulation and safer alternatives to the use of HHPs, as well as the promotion of alternatives. We provide policy recommendations and identify alternatives to HHPs for tropical vegetable production.

Effectively Improved CH4 Sensing Performance of In2O3 Porous Hollow Nanospheres by Doping with Cd.

Recently, due to the promising application of metal oxide semiconductors in high-performance methane (CH4) sensors, more attention has been paid to the development of feasible strategies for improving CH4 sensing performance. Herein, we present a strategy of cadmium (Cd) doping to improve the CH4 sensing property of In2O3 porous hollow nanospheres (PHNSs). The Cd-doped In2O3 PHNSs were prepared via an impregnation-calcination approach with self-made carbon nanospheres as a hard template. The samples were characterized by various techniques to evaluate their structure, morphology, surface state, composition, and band gap. When applied as a sensitive material in the CH4 sensor, the Cd-doped In2O3 PHNSs, compared with bare In2O3 PHNSs, showed some significant improvements in performance, especially a reduced operating temperature (200 °C vs 300 °C), an enhanced response (9.5 vs 2.5 for 500 ppm of CH4), a faster response speed (16 s vs 276 s), and better selectivity. In addition, the Cd-doped In2O3 sensor can also maintain a commendable long-term stability, and the range of its response amplitude within 30 days is only 6.3%. The sensitization effects of the Cd dopant on the In2O3 PHNSs are discussed.

Superior target genes and pathways for RNAi-mediated pest control revealed by genome-wide analysis in the beetle Tribolium castaneum.

An increasing human population, the emergence of resistances against pesticides and their potential impact on the environment call for the development of new eco-friendly pest control strategies. RNA interference (RNAi)-based pesticides have emerged as a new option with the first products entering the market. Essentially, double-stranded RNAs targeting essential genes of pests are either expressed in the plants or sprayed on their surface. Upon feeding, pests mount an RNAi response and die. However, it has remained unclear whether RNAi-based insecticides should target the same pathways as classic pesticides or whether the different mode-of-action would favor other processes. Moreover, there is no consensus on the best genes to be targeted. We performed a genome-wide screen in the red flour beetle to identify 905 RNAi target genes. Based on a validation screen and clustering, we identified the 192 most effective target genes in that species. The transfer to oral application in other beetle pests revealed a list of 34 superior target genes, which are an excellent starting point for application in other pests. Gene ontology (GO) and Kyoto encyclopedia of genes and genomes (KEGG) analyses of our genome-wide dataset revealed that genes with high efficacy belonged mainly to basic cellular processes such as gene expression and protein homeostasis - processes not targeted by classic insecticides. Our work revealed the best target genes and target processes for RNAi-based pest control and we propose a procedure to transfer our short list of superior target genes to other pests. © 2024 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Integrative multi-omics analysis of chilling stress in pumpkin (Cucurbita moschata).

Pumpkin (Cucurbita moschata) is an important vegetable crop that often suffers from low-temperature stress during growth. However, the molecular mechanism involved in its response to chilling stress remains unknown. In this study, we comprehensively investigated the effect of chilling stress in pumpkin seedlings by conducting physiological, transcriptomic, and metabolomic analyses. Under chilling stress, there was an overall increase in relative electrical conductivity, along with malondialdehyde, soluble sugar, and soluble protein contents, but decreased superoxide dismutase and peroxidase activities and chlorophyll contents in seedling leaves compared with controls. Overall, 5,780 differentially expressed genes (DEGs) and 178 differentially expressed metabolites (DEMs) were identified under chilling stress. Most DEGs were involved in plant hormone signal transduction and the phenylpropanoid biosynthesis pathway, and ERF, bHLH, WRKY, MYB, and HSF transcription factors were induced. Metabolomic analysis revealed that the contents of salicylic acid (SA), phenylalanine, and tyrosine increased in response to chilling stress. The findings indicated that the SA signaling and phenylpropanoid biosynthesis pathways are key to regulating the responses to chilling stress in pumpkins. Overall, our study provides valuable insights into the comprehensive response of C. moschata to chilling stress, enriching the theoretical basis of this mechanism and facilitating the development of molecular breeding strategies for pumpkin tolerance to chilling stress.

CITMIC: Comprehensive Estimation of Cell Infiltration in Tumor Microenvironment based on Individualized Intercellular Crosstalk.

The tumor microenvironment (TME) cells interact with each other and play a pivotal role in tumor progression and treatment response. A comprehensive characterization of cell and intercellular crosstalk in the TME is essential for understanding tumor biology and developing effective therapies. However, current cell infiltration analysis methods only partially describe the TME's cellular landscape and overlook cell-cell crosstalk. Here, this approach, CITMIC, can infer the cell infiltration of TME by simultaneously measuring 86 different cell types, constructing an individualized cell-cell crosstalk network based on functional similarities between cells, and using only gene transcription data. This is a novel approach to estimating the relative cell infiltration levels, which are shown to be superior to the current methods. The TME cell-based features generated by analyzing melanoma data are effective in predicting prognosis and treatment response. Interestingly, these features are found to be particularly effective in assessing the prognosis of high-stage patients, and this method is applied to multiple high-stage adenocarcinomas, where more significant prognostic performance is also observed. In conclusion, CITMIC offers a more comprehensive description of TME cell composition by considering cell-cell crosstalk, providing an important reference for the discovery of predictive biomarkers and the development of new therapeutic strategies.

Progressive Fabrication of a Pt-Based High-Entropy-Alloy Catalyst toward Highly Efficient Propane Dehydrogenation.

High-entropy alloys (HEAs) have emerged as burgeoning heterogeneous catalysts due to their vast material space, unique structure, and superior stability. However, the dominant trial-and-error approaches hamper the exploration of efficient catalysts, necessitating the development of rational design strategies. Here, we report a progressive approach to the design and fabrication of HEA catalysts guided by alloying effects toward propane dehydrogenation. Cu, Sn, Au, and Pd are selected and demonstrated to induce dilution, encapsulation, surface enrichment, and inhomogeneity effects on Pt. The fabricated HEA, PtCuSnAuPd/SiO2, exhibits excellent activity, selectivity, and stability. The propylene formation rates reach 256 and 390 molC3H6 gPt-1 h-1 at 550 and 600 °C, respectively. Systematic characterizations reveal that the random elemental mixing, structural stability, and high Pt exposure promote the exposure of abundant stable isolated Pt sites. This work comprehensively explores the rational design and fabrication of HEA catalysts from a unique perspective, offering opportunities for developing advanced catalysts.

Informatics-based design of polyaniline-carbon nanotube thermoelectric nanocomposite using ANN and GA

Abstract Conducting polymer and carbon nanotube (CNT) based nanocomposites have emerged as prospective thermoelectric (TE) materials due to their potential application in flexible electronics. Non-conventional charge and heat transport in these nanocomposites, presents the possibility to enhance the TE conversion efficiency, given by ZT. However, the highly non-linear and complex association of structure and composition with the overall TE properties have hindered the development of any general strategy to develop high ZT nanocomposites. Here, we implement artificial neural network (ANN) and genetic algorithm (GA) to develop data driven models followed by optimization to design high efficiency nanocomposites based on CNT dispersed in polyaniline (PANI) matrix. Our models suggest that CNT concentration plays the most crucial role in determining ZT. Non-dominated Pareto optimal solutions consisting of different combinations of design variables are obtained by multi-objective optimization. Although a range of optimal solutions span over different regions of the search space, in general we note that longer CNTs boost Seebeck coefficient (S) and electrical conductivity (σ), and smaller length lowers thermal conductivity (k), while higher diameter of CNTs increase S and lowers σ and k. The results provide a general guideline for developing CNT-PANI nanocomposites with enhanced TE figure of merit.

Evaluation of the Development Effectiveness of Intellectual Property Operation for Science and Technology-based Small and Medium-sized Enterprises: Based on the Research Data of Qinchuangyuan Innovation Driving Platform

Science and technology-based enterprises promote national economic growth and facilitate scientific and technological innovation. This study takes the development of Intellectual Property (IP) operation of science and technology-based enterprises as the research object and constructs a relevant evaluation index system. It also takes the data of 112 small and medium-sized science and technology-based enterprises within the Qinchuangyuan Innovation Driving Platform as an example, conducts statistical analysis and case analysis, and concludes development strategies. The results of the study provide policy suggestions for further strengthening and promoting the development of intellectual property operation by enhancing the efficiency of the IP operation system and policy services for small and medium-sized enterprises (SMEs) in science and technology, promoting the construction of supporting facilities and improving employee satisfaction; as well as simplifying the IP filing procedures, optimizing the financing environment, and establishing a platform for regular evaluation and information sharing to accelerate the transformation of IP; and at the same time, implementing a mechanism for efficient policy fulfillment and departmental linkages to enhance the implementation of the policies and form a high-quality business environment that will help SMEs in their development and technological innovation of SMEs.