Core Factors Research Articles

Application of STEEP and Interpretive Structural Modeling in the Design Imagery of Taiwan Public Ceramic Relief Murals

Ceramic relief mural is a contemporary landscape art that is carefully designed based on human nature, culture, and architectural wall space, combined with social customs, visual sensibility, and art. It may also become the main axis of ceramic art in the future. Taiwan public ceramic relief murals (PCRM) are most distinctive with the PCRM pioneered by Pan-Hsiung Chu of Meinong Kiln in 1987. In addition to breaking through the limitations of traditional public ceramic murals, Chu leveraged local culture and sensibility. The theme of art gives PCRM its unique style and innovative value throughout the Taiwan region. This study mainly analyzes and understands the design image of public ceramic murals, taking Taiwan PCRM’s design and creation as the scope, and applies STEEP analysis, that is, the social, technological, economic, ecological, and political-legal environments are analyzed as core factors; eight main important factors in the artistic design image of ceramic murals are evaluated. Then, interpretive structural modeling (ISM) is used to establish five levels, analyze the four main problems in the main core factor area and the four main target results in the affected factor area; and analyze the problem points and target points as well as their causal relationships. It is expected to sort out the relationship between these factors, obtain the hierarchical relationship of each factor, and provide a reference basis and research methods.

The factors of job crafting in emergency nurses: regression models versus qualitative comparative analysis

BackgroundJob crafting is defined as a series of proactive behaviors exhibited by employees in order to balance work resources and needs, which has a significant positive impact on the nurses. It is necessary to find the core factors that influence the job crafting, as emergency nurses deal with the most complex tasks, so as to improve their job satisfaction.ObjectivesTo investigate the core factors of job crafting among emergency nurses.MethodsA cross-sectional design was used in the study. A total of 255 nurses were recruited from two hospitals in Zhengzhou and Shenzhen, China in December 2021. 255 nurses completed an online questionnaire. Hierarchical regression models and fsQCA models were used to explore the factors influencing job crafting among emergency nurses and helped us to identify core factors.ResultsThe hierarchical regression model and the fsQCA model found that the occupational benefit, psychological empowerment, and research experience were the core factors affecting their job crafting. Job involvement was not significant in the regression model, but the QCA model indicated that it needs to be combined with other factors to impact on job crafting. The QCA model uncovered seven key conditional configurations that led to high and low job crafting among emergency nurses, explaining 80.0% of the results for high job crafting and 82.6% of the results for the low job crafting, respectively.ConclusionsThe results of this study provide valuable insights into the job crafting experienced by emergency nurses. Junior emergency nurses should be granted a high level of psychological empowerment without assigning them overly complex tasks, such as research tasks, as these challenges can stop their job crafting. Intermediate and senior emergency nurses, on the other hand, can be assigned research tasks coupled with high psychological empowerment to enhance their job crafting.

E-learning Quality and the Learners’ Choice Using Spherical Fuzzy Analytic Hierarchy Process Decision-making Approach

E-learning in the context of Industry 4.0 and the outbreak of the COVID-19 pandemic has transformed traditional education. However, the smooth transition from face-to-face education to e-learning remains a challenging task, given concerns about e-learning quality. This study aims to explore the quality criteria and the adoption of e-learning via the spherical fuzzy analytic hierarchy process (SF-AHP). The extended technical acceptance model is used as a theoretical framework for constructing quality in an adoption hierarchical model. The input data derived from in-depth interviews of 20 experts in the field and the SF-AHP calculator have generated the priority weights of quality criteria in the model of e-learning adoption. The findings confirm the role of three major criteria, in order of importance, as follows: system, resources and core factors. The results highlight system factors as most crucial, including aspects such as governmental policies and institutional leadership, which are essential for setting a conducive environment for e-learning. Resource factors are ranked second, emphasizing the importance of IT applications, human capital and facilities to support e-learning infrastructure. Core factors, though ranked lower, are vital in ensuring the effectiveness of e-learning through course materials, instruction, and learner support. The weights of 14 sub-criteria have further shed light on policies to promote e-learning quality and its adoption. The implied priority of each weight a valuable guideline for the stakeholders’ actions to reach the targeted goals under the constraint resources.

Beforehand Enquiry About Health Care Practitioners and Delivery Places Among the General Population in A Rural District in An Indian Southern State- An Exploratory Factor Analysis

Background: In recent years, many countries have embraced demand-driven healthcare systems, emphasizing patient choice and pre-enquiry in selecting healthcare providers. The purpose is to assess the occurrence and factors influencing beforehand enquiry of the general rural population regarding the health care practitioners and delivery places Materials and methods: The study was a cross-sectional survey conducted over 2 months among 1100 participants in Perambalur district, Tamil Nadu. The study utilized a questionnaire gathering sociodemographic data and 20 questions about healthcare enquiries, including place/person of enquiry, information source, enquiry characteristics, and reliability. Bivariate analysis identified significant predictor variables, while principal component analysis with Varimax rotation determined core factors. Results: The study found that 68.8% of participants (757 individuals) enquired about healthcare facilities and professionals before visiting. Core factors influencing these enquiries included healthcare professionals, hospitals, subjects, and cost concerns. Enquiries about healthcare places were mainly influenced by discussions with relatives, travel issues, and costs. Regarding healthcare professionals, characteristics such as communication skills, physician quality, previous patient experiences, and costs played significant roles in pre-enquiries. Conclusion: Patient enquiries are influenced by diverse factors and may not always be rational. Providing truthful information is crucial to support informed decision-making in healthcare.

Situation analysis on the integration of refractive error services provided by optometrists into the national health services in Kenya

IntroductionEven though the burden of uncorrected refractive error could potentially be addressed through innovative and cost-effective approaches, integration of the services into the National Health Services (NHS) is desirable. However, minimal information exists on the current situation warranting the need for evidence about the integration of refractive error service provided by optometrists into the national health services in Kenya.MethodsA situation analysis of the Kenyan refractive error services provided by optometrists within the NHS was undertaken based on access to service delivery, service coverage, and human resource. A strengths, weaknesses, opportunities, and threats analysis was undertaken based on the existent evidence to identify the core factors that could potentially facilitate or hinder the integration of refractive error services provided by optometrists within the National Health Services. The proportion of optometrists to be integrated in the NHS was estimated based on the minimum ratios recommended by the World Health Organization.ResultsA section of tertiary and secondary healthcare facilities in Kenya have specific services to address refractive errors within the NHS with most facilities lacking such services. Treatment of refractive error occurs at the level of eye care general services. There are 11,547 health facilities offering primary care services in Kenya. However, none of them offers refractive error services and only a section of facilities offering county health referral services provides eye care services which is limited to refraction without provision of spectacles. The existing workforce comprises of ophthalmologists, optometrists and ophthalmic clinical officers, together with nurses and other general paramedical assistants. Optometrists, ophthalmologists and ophthalmic clinical officers are allowed to undertake refraction. However, optometrists majorly practices in the private sector. Centralization of eye care services in urban areas, weak referral systems, and a shortage in the workforce per population was observed.ConclusionsThe Kenyan NHS should advocate for primary care and reorient the current hospital-based delivery approach for refractive error services. This is attributed to the fact that provision of refractive error services at primary care remains effective and efficient and could translate to early detection of other ocular conditions. The existing human resources in the eye health ecosystem in Kenya should maximize their efforts towards addressing uncorrected refractive error and optometrists should be integrated into the NHS.

Factors Affecting Students’ Listening Comprehension

Teaching listening skill has largely been neglected in many classrooms where English is taught as a foreign language. This study attempts to investigate the core factors that influence learners’ listening comprehension skills. For this study, a descriptive research design and a mixed research approach were employed. In this study, 109 respondents participated at St. John Baptist De La Salle Catholic School, Addis Ababa, Ethiopia. A survey questionnaire was used for primary data collection. The collected data were analyzed with the help of SPSS version 26 and Excel. The findings of the study revealed core factors of students' listening comprehension, such as factors related to students, teachers, classroom environment, curriculum, and lack of target language exposure. This result highlights the need for further investigation in integrating technology effectively to enhance students’ listening comprehension.

Numerical investigation for water flow in an irregular channel using Saint-Venant equations

Given recent flood events in Indonesia, understanding the hydraulic dynamics in open channels, mirroring real-world drainage and river scenarios, has become paramount. To address this, our research employs a numerical model to simulate water flow in both regular and irregular open channels. Specifically, we utilize the Saint-Venant Equations to explore fluid flow evolution in irregular channels. This model is solved numerically using a staggered finite volume method. We complement our research with laboratory experiments and validate our numerical model against the data collected. Furthermore, we cross-reference our numerical results with those from HEC-RAS to examine the robustness and accuracy of our model in predicting water levels and velocities under varying conditions. To deepen our understanding, we conduct sensitivity analyses that offer valuable insights into the core factors influencing water levels and velocity. This knowledge provides a foundation for practitioners to normalize rivers.

PROPPINs and membrane fission in the endo-lysosomal system.

PROPPINs constitute a conserved protein family with multiple members being expressed in many eukaryotes. PROPPINs have mainly been investigated for their role in autophagy, where they co-operate with several core factors for autophagosome formation. Recently, novel functions of these proteins on endo-lysosomal compartments have emerged. PROPPINs support the division of these organelles and the formation of tubulo-vesicular cargo carriers that mediate protein exit from them, such as those generated by the Retromer coat. In both cases, PROPPINs provide membrane fission activity. Integrating information from yeast and human cells this review summarizes the most important molecular features that allow these proteins to facilitate membrane fission and thus provide a critical element to endo-lysosomal protein traffic.

Exploring the push-pull factors influencing parenting efficacy of fathers of children with ASD: a fuzzy set qualitative comparative analysis.

This study aimed to explore the core factors and configurations influencing parenting efficacy for fathers of children with ASD in Western China by using a configuration analysis. Understanding the push-pull factors related to parenting efficacy for fathers raising children with ASD can support the fathers of children with ASD to participate in education affairs and improve the quality of family education, which is of significant importance to both individuals and society. This study recruited 156 fathers of children with ASD from China. The results suggested that there was more than one (sub) configuration for achieving a high level of parenting efficacy among fathers of children with ASD. (b) The configurations could be summarized into three main types as follows: "working within the system*flexible working time," "high level of education*high level of other support," and "severe disability*fewer interaction with wife." (c) The two variables, "family income" and "community support," were not as important as they were shown in previous studies, and their effects often depended on how they interact with other variables. Findings highlighted the validity of deploying configuration analysis (based on the ecosystem theory) to establish the relationship between independent variables and the parenting efficacy of fathers of children with ASD. The discovery of more than one configuration led to a new consensus on how multiple factors influence parenting efficacy. Implications were suggested for practitioners, policymakers, and future research alike.

NF-κB/RelA signaling in secretoglobin progenitors mediates plasticity and MMP-induced barrier disruption in house dust mite-induced allergic asthma.

The mechanisms how aeroallergens induce sensitization are incompletely understood. The house dust mite (HDM) Dermatophagoides pteronyssius (Der p) is a ubiquitous aeroallergen that represents a major cause of allergic rhinitis and asthma. Herein, we tested whether HDM-induced aeroallergen exposure sensitivity is caused by the innate-immune response in small airway epithelial cells. HDM exposure is a rapid activator of NF-κB/RelA in the Secretoglobin (Scgb1a1+) lineage associated with upregulation of NF-κB/RelA-dependent markers of epithelial plasticity. To determine the effect of epithelial NF-κB signaling, NF-κB was depleted in a tamoxifen (TMX)-inducible Scgb1a1-CreERTM mouse within a CL57B/L6 background. Corn oil or TMX-treated/RelA-depleted [RelA knockdown (KD)] mice were repetitively exposed to airway HDM challenges to induce airway hyperresponsiveness (AHR). Strikingly, we observed that HDM induces hallmarks of epithelial plasticity through upregulation of the mesenchymal core factors SNAI1 and ZEB1 and production of metalloproteinase (MMP)9 that are RelA-dependent. Downstream, HDM-induced mucous metaplasia, Th2 polarization, allergen sensitivity, and airway hyperreactivity were all reduced in the RelA-depleted mice. Mechanistically, HDM-induced functional and structural barrier disruption was dependent on RelA signaling and associated with active MMP secretion into the bronchoalveolar lavage fluid. To establish the role of MMP2/9 in barrier disruption, we observe that a small-molecule MMP inhibitor (SB-3CT) blocked HDM-induced barrier disruption and activation of plasticity in naïve wild-type (WT) mice. Loss of functional barrier was associated with MMP disruption of zona occludens (ZO)-1 containing adherens junctions. Overall, this data indicates that host innate signaling in the Scgb1a1+ progenitors is directly linked to epithelial plasticity, MMP9 secretion, and enhanced barrier permeability that allows allergen penetration, sensitization producing allergic asthma (AA) in vivo. We propose that maintenance of epithelial integrity may reduce allergic sensitization and AA.NEW & NOTEWORTHY Allergic asthma from house dust mite (HDM) allergy causes substantial morbidity. This study examines the dynamic changes in small airway epithelial cells in a mouse model of HDM exposure. Our findings indicate that NF-κB/RelA signaling mediates matrix metalloproteinase production, disrupting the epithelial barrier resulting in allergic sensitization. Our findings bring new insight into mechanisms for epithelial cell-state change in the allergen response, creating a potential therapeutic pathway for maintaining barrier function in asthma.

ChatGPT in higher education: factors influencing ChatGPT user satisfaction and continued use intention

Artificial intelligence (AI) chatbots, represented by ChatGPT, have shown significant improvement in natural learning and problem analysis and solving, which could trigger a profound change in the education sector and have a far-reaching impact on educational practices. This study aimed to gain insights into the various impacts on users’ experience when using the AI tool ChatGPT in higher education. The study analyzed questionnaire data from 328 college students who used ChatGPT. Employing structural equation modeling, this study examined the technology acceptance model in the higher educational setting to identify factors influencing continued use of ChatGPT. The results show that ChatGPT’s compatibility positively affected users’ perceived ease of use and that efficiency positively affected perceived usefulness. Furthermore, perceived ease of use and perceived usefulness were identified as core factors affecting users’ satisfaction and continued use intentions, with user satisfaction showing a significant positive effect on continued use intention. The findings not only provide new perspectives on human–computer interaction theory in higher education but also further refine the functions of current smart devices. This study will help to promote the continued progress and improvement of educational technology, while also deepening understanding of the relationship between attitude and behavior.

창의적 인지 평정척도 개발 및 타당화

This study was conducted to identify core cognitive factors of creativity and to develop the Creative Cognition Rating Scale (CCRS). In Study 1, core factors of creativity were extracted by reviewing previous review articles dealing with creative cognition, and items based on the factors were developed by reflecting the relationship between creativity and cognitive control. The result of the exploratory factor analysis showed that the two-factor structure with 9 items for 'Exploration/Retrieval' and 5 items for 'Switching/Combination' was valid for the scale. The subsequent confirmatory factor analysis reconfirmed the two-factor structure of the CCRS. In Study 2, the validity of CCRS was verified using self-report scales and behavioral tasks. As a result of correlation analysis between self-report scales, CCRS showed a significant positive correlation with the ability of creative idea generation, creative personality, and creative achievement intention. Also, CCRS was highly related to cognitive control scales. In addition, the analysis using the Alternative Uses Tasks, the behavioral tasks of creativity, showed that each factor of CCRS was related to creativity scores in different ways. These results suggested that the new scale would be an effective and valid tool for evaluating different cognitive components of creativity. Finally, the implications and limitations of this study were discussed.

Prevalence and factors associated with eating disorders among undergraduate students in a public university in Ghana

AbstractTo estimate the prevalence of eating disorders (EDs) among undergraduate students in a public university in Ghana; to identify the factors associated with EDs and to explore the relationship between sociodemographics and developing EDs. A cross‐sectional design was employed to obtain data from 1101 students using the total enumeration sampling method. Information on sociodemographics was obtained and anthropometric measurements were self‐reported. The Eating Attitude Test was modified to obtain the prevalence rate. The factors associated with EDs and the relationship between sociodemographics and EDs were also assessed using a chi‐square statistical test. Logistic regression analysis was used to assess the association between sociodemographic variables and ED risk. A total of 1101 students participated in the study with a mean age of 21.87 ± 2.94, ranging from 16 to 43 years. About 7% of the students were found to have EDs, with the majority being female young adults. Factors found to influence EDs were peer/family pressure, stress, and body dissatisfaction. The association between psychological factors and EDs was found to be statistically significant (p < 0.05). Gender (p = 0.011), course of study (p = 0.001), and level of study (p = 0.010) were sociodemographic variables associated with an increased likelihood of developing EDs. This study found the prevalence of EDs to be relatively higher than that estimated for Africa and non‐Western countries and almost as high as that of the Western world. This calls for urgent steps to be taken, including creating awareness and increasing nutrition education to reduce the incidence, if not completely nip it in the bud. Sociocultural factors and body image preferences were identified as core factors underlying susceptibility to EDs and hence will inform and guide intervention activities. This study will address literature gaps and provide baseline data on the prevalence rate of EDs in Ghana and Africa at large. Information from the study will aid dietitians/nutritionists in developing interventions suitable for persons with EDs. Most importantly, this study will refer individuals who may have EDs to seek the necessary assistance from qualified health professionals like doctors, dietitians, and psychologists.

Insights into core molecular changes associated with metamorphosis in gilthead seabream larvae across diverse hatcheries

Early development is a critical period in fish aquaculture and is influenced by biotic and abiotic factors (e.g., temperature, feed) that can vary significantly between hatcheries, making it difficult to identify core factors determining quality. Many of the existing larval transcriptome studies are small-scale and occur under specific rearing conditions that do not mirror the diversity of larviculture practices at an industrial level. In the present transcriptome study, gilthead seabream at the larval to juvenile transition (metamorphosis) from several hatcheries in Europe (Greece, Italy, and France) were analysed in a large-scale RNA-seq study. The aim was to uncover the most significant molecular modifications occurring during metamorphosis, irrespective of differences in biotic or abiotic factors, to address knowledge gaps associated with critical early developmental stages under industrial hatchery conditions. Commonly modified gene transcripts between larval stages were identified based on the clustering of gene expression profiles of 25 gilthead seabream libraries from different hatcheries in a PCA analysis. When larvae at flexion were compared to larvae at mid-metamorphosis, 2243 differentially expressed genes (DEGs) were identified, and when larvae at early to mid-metamorphosis were compared to mid to late-metamorphosis, 2299 DEGs were identified. Comparative analysis across the developmental stages of gilthead seabream revealed genes of importance for the metamorphic transition and adaptation to rearing conditions, including genes related to the nervous system at flexion (24 days post hatch), enteroendocrine cell differentiation, and lipid homeostasis at early to mid-metamorphosis (46 dph), and enrichment of genes indicative of immune competence at mid to late-metamorphosis (51–54 dph). The differential expression of some endocrine-associated genes, dio1, dio2, cldn1, ing4, Pou3f4, and fgf22, highlights their importance in metamorphosis. Meta-analysis of the transcriptomes from two species, the gilthead seabream and Senegalese sole, that have differing symmetry and ecology uncovered common molecular expression patterns that underlie larvae maturation during metamorphosis, and we propose that these represent core gene markers of metamorphosis in these two fish species.

Synergistic effects of plant genotype and soil microbiome on growth in Lotus japonicus.

The biological interactions between plants and their root microbiomes are essential for plant growth, and even though plant genotype [G], soil microbiome [M], and growth conditions (environment) [E] are the core factors shaping root microbiome, their relationships remain unclear. In this study we investigated the effects of G, M, and E and their interactions on the Lotus root microbiome and plant growth using an in vitro cross-inoculation approach which reconstructed the interactions between nine Lotus accessions and four soil microbiomes under two different environmental conditions. Results suggested that a large proportion of the root microbiome composition is determined by M and E, while G-related (G, G × M, and G × E) effects were significant but small. In contrast, the interaction between G and M had a more pronounced effect on plant shoot growth than M alone. Our findings also indicated that most microbiome variations controlled by M have little effect on plant phenotypes, whereas G × M interactions have more significant effects. Plant genotype-dependent interactions with soil microbes warrant more attention to optimize crop yield and resilience.

Comparative Evaluation, Challenges, and Diverse Applications of Multi-Armed Bandit Algorithms

This manuscript offers an exhaustive comparative study of key Multi-Armed Bandits (MAB) algorithms, exploring their challenges, potential resolutions, and varied applications in today's context. It concentrates on at least three principal algorithms: the Upper Confidence Bound (UCB), Thompson Sampling, and ε-greedy. The analysis critically assesses their performance, focusing on convergence rate, precision, and computational demands. Key challenges in non-static environments and large-scale deployments are identified, including the complexities of multi-objective optimization. The paper proposes innovative solutions such as adaptive algorithmic approaches and the integration of parallel computing frameworks to address these challenges. It further delves into a range of application domains, from online advertising and recommendation systems to clinical trial methodologies, drawing comparisons between traditional and novel applications. The discussion also encompasses critical issues like data scarcity, cold start problems, ethical considerations in algorithm design, and the intricacies of processing real-time data. In its concluding sections, the study sheds light on recent successful deployments of MAB algorithms, identifying core factors contributing to their effectiveness and forecasting future developmental trajectories. This comprehensive analysis provides a detailed overview of the MAB field, highlighting its significance and practical impact in various sectors.

Understanding winter windstorm predictability over Europe

Abstract. Winter windstorms belong to the most damaging meteorological events in the extra-tropics. Their impact on society makes it essential to understand and improve seasonal forecasts of these extreme events. Skilful predictions on a seasonal timescale have been shown in previous studies by investigating hindcasts from various forecast centres. This study aims to explain storm forecast skill based on relevant dynamical factors. Therefore, a number of factors which are known to influence either windstorms directly or their synoptic relevant systems, mid-latitude cyclones, are investigated. These factors are analysed for their relation to windstorm forecast performance based on a reanalysis (ERA5) and the seasonal hindcast of the UK Met Office (Global Seasonal forecasting system version 5, GloSea5). Within GloSea5, relevant dynamical factors are (1) validated with respect to their physical connections to windstorms, (2) investigated with respect to the seasonal forecast skill of the factors themselves, and (3) assessed on the relevance and influence of their forecast performance to and on windstorm forecast skill. Although not all investigated factors reveal a clear and consistent influence on windstorm forecast skill over Europe, core factors like mean sea level pressure gradient, sea surface temperature, equivalent potential temperature and Eady growth rate show consistent results within these three steps: their physical connection is well represented in the model; these factors are skilfully predicted in storm-relevant regions, and, consequently, this skill leads to increased forecast skill of winter windstorms over Europe. This study thus explains existing forecast skill in winter windstorms but also indicates potential for further model developments to improve seasonal winter windstorm predictions.

Factors influencing marine ecological environment governance toward sustainability: a case study of Zhejiang Province

At present, the marine ecological environment is facing enormous pressure from human activities, and there is an urgent need for coordinated governance by multiple entities to ensure that the marine ecological environment can continuously meet the needs of sustainable development. Marine ecological environmental governance plays multiple roles in the sustainable development of the ocean characteristics. Most existing studies have explored this field from the perspective of the government and public, while failing to adequately account for the factors influencing enterprises’ participation in marine ecological environmental governance. This paper is an effort to provide some empirical research on the influencing factors of enterprises’ participation in marine ecological environmental governance. Based on existing literature, empirical research (213 middle managers were surveyed from 68 coastal enterprises in Zhejiang, China), this study extracts eight core factors that influence corporate participation in marine ecosystems and uses the Fuzzy Decision-making Trial and Evaluation Laboratory approach (Fuzzy DEMATEL). Furthermore, experts from Chinese backgrounds elucidated the complex interdependencies among the factors, based on which key influencing factors were identified. The empirical results indicate that government attention and support, legal and regulatory requirements, and cost-benefit accounting have a positive net effect on corporate participation in marine ecosystem management; when these factors are improved, they drive improvements in other factors(Corporate Capital Capability, Corporate Social Responsibility, Government Enforcement and Appraisal, The Attention of Corporate Leaders, Corporate Internal Management System). Additionally, interviews with Chinese business people support the robustness of the findings and suggest that policymakers cannot ignore government enforcement and assessment efforts. Overall, the study findings can help advance corporate participation in marine environmental governance.

Study on the evaluation model of the contribution of power industry expansion considering the influencing factors of new energy consumption

In the application of new energy consumption system engineering, in order to evaluate the contribution of electric power industry expansion, an evaluation model of electric power industry expansion contribution considering the influencing factors of new energy consumption is constructed. In the process of power industry expansion, the growth of new energy installed capacity, power system regulation ability, power grid interconnection and electricity demand are the core factors that affect the change of power contribution to power industry expansion. Using the characteristic extraction method of power consumption behavior of users with industrial expansion, after extracting two characteristics, namely, the utilization hours of user’s industrial expansion capacity and the proportion of new energy load put into operation under the change of four major factors, the monthly industrial expansion power consumption of typical users is predicted by the monthly industrial expansion power consumption forecasting method of users considering industrial expansion capacity, and then the growth curve of user’s industrial expansion power consumption is drawn. Based on the forecast method of monthly industry expansion electricity generated by industry expansion quantity, the industry expansion quantity of typical individual users is calculated, and the industry expansion quantity is input into RBF network model trained by particle swarm optimization algorithm to complete the forecast of monthly industry expansion electricity; Finally, the contribution ratio of each influencing factor is calculated, and the evaluation of power industry expansion contribution considering the influencing factors of new energy consumption is completed. After testing, this model can be used as an available model for evaluating the contribution of electric power industry under the condition of considering the influencing factors of new energy consumption.

Cleavage and polyadenylation machinery as a novel targetable vulnerability for human cancer.

The role of alternative polyadenylation of mRNA in sustaining aggressive features of tumors is quite well established, as it is responsible for the 3'UTR shortening of oncogenes and subsequent relief from miRNA-mediated repression observed in cancer cells. However, the information regarding the vulnerability of cancer cells to the inhibition of cleavage and polyadenylation (CPA) machinery is very scattered. Only few recent reports show the antitumor activity of pharmacological inhibitors of CPSF3, one among CPA factors. More in general, the fact that deregulated CPA can be seen as a new hallmark of cancer and as a potential reservoir of novel therapeutic targets has never been formalized. Here, to extend our view on the potential of CPA inhibition (CPAi) approaches as anticancer therapies, we systematically tested the fitness of about one thousand cell lines of different cancer types upon depletion of all known CPA factors by interrogating genome-scale CRISPR and RNAi dependency maps of the DepMap project. Our analysis confirmed core and accessory CPA factors as novel vulnerabilities for human cancer, thus highlighting the potential of CPAi as anticancer therapy. Among all, CPSF1 appeared as a promising actionable candidate for drug development, as it showed low dependency scores pancancer and particularly in highly proliferating cells. In a personalized medicine perspective, the observed differential vulnerability of cancer cell lines to selected CPA factors may be used to build up signatures to predict response of individual human tumors to CPAi approaches.