Availability Of Information Research Articles

The Development of Knowledge-Based Economies Through Creation, Dissemination and Use of Knowledge, and Information in Native Languages

"If you talk to a man in a language he understands, that goes to his head. If you talk to him in his language, that goes to his heart"- Nelson Mandela.Conveying your messages in a language your audience both understands and resonates with is of utmost importance to establish an emotional connection. Language proficiency is crucial in determining how well the information or knowledge is communicated which subsequently influences comprehension of the same by the audience. By contrast, when knowledge is synthesized and shared in a language unfamiliar to a community, the extent to which that knowledge is utilized depends largely on that specific language proficiency of the community.Knowledge-based economy is characterized by the production, distribution and utilization of knowledge and information. In such systems, education, innovation and skill development are fundamental to economic growth. As highlighted above, the availability of knowledge and information in one's native language serves as a significant facilitator for the development of a system. Thus, the promotion of education in local languages set the stage for the establishment of environment for the citizens to fully involve in knowledge systems, apply the acquired skills and contribute to innovation. This leads to the development of a highly-skilled workforce, advancement of technology as well as the formation of competitive industries.

Informational and Methodical Support of Out-Of-School Education Institutions: Basic Principles and Current State

The article reveals the essence of informational and methodical support of out-of-school education institutions. It was found that informational and methodological support is a system of necessary and sufficient conditions for the organization of the educational process, which includes a set of informational, educational, methodological and scientific materials to ensure the need for information sources. It was determined that when developing educational and methodological materials, certain principles should be followed: scientificity, availability and reliability of information, systematicity, relevance, adaptability and innovativeness of educational materials. The main principles of informational and methodical provision of out-of-school education institutions are characterized, in particular, the principle of legality and compliance of the regulatory and legal field; the principle of unity of purpose and goals; the principle of information security; the principle of functional structuring; optimization principle; principle of availability; the principle of sufficiency of informational and methodological support. An analysis of the current state of informational and methodological support of out-of-school education institutions in wartime conditions was carried out by interviewing leaders of clubs and other creative associations from all over Ukraine. The exception was Zaporizhzhia, Kharkiv and Kherson regions, which, due to the hostilities, could not participate. The level of provision of out-of-school education institutions with the necessary teaching and methodical materials for conducting classes has been determined; the quality of extracurricular education programs was analyzed; forms of improvement of the professional level of leaders of circles and other creative associations during the last five years have been clarified; the level of use of innovative forms and methods of work by teachers and which innovations are mainly used by teachers of extra-curricular education institutions is established. It has been proven that informational and methodological support plays a key role in the system of extracurricular education, contributing to the improvement of the quality of the educational process and the effectiveness of pedagogical activities.

Artificial Neural Network-Based Data-Driven Parameter Estimation Approach: Applications in PMDC Motors

The optimal performance of direct current (DC) motors is intrinsically linked to their mathematical models’ precision and their controllers’ effectiveness. However, the limited availability of motor characteristic information poses significant challenges to achieving accurate modeling and robust control. This study introduces an approach employing artificial neural networks (ANNs) to estimate critical DC motor parameters by defining practical constraints that simplify the estimation process. A mathematical model was introduced for optimal parameter estimation, and two advanced learning algorithms were proposed to efficiently train the ANN. The performance of the algorithms was thoroughly analyzed using metrics such as the mean squared error, epoch count, and execution time to ensure the reliability of dynamic priority arbitration and data integrity. Dynamic priority arbitration involves automatically assigning tasks in real-time depending on their relevance for smooth operations, whereas data integrity ensures that information remains accurate, consistent, and reliable throughout the entire process. The ANN-based estimator successfully predicts electromechanical and electrical characteristics, such as back-EMF, moment of inertia, viscous friction coefficient, armature inductance, and armature resistance. Compared to conventional methods, which are often resource-intensive and time-consuming, the proposed solution offers superior accuracy, significantly reduced estimation time, and lower computational costs. The simulation results validated the effectiveness of the proposed ANN under diverse real-world operating conditions, making it a powerful tool for enhancing DC motor performance with practical applications in industrial automation and control systems.

Security compliance and its implication for cybersecurity

Security compliance plays a critical role in shaping and enhancing the cybersecurity posture of organizations. It involves adhering to legal, regulatory, and industry standards that govern data protection, privacy, and security measures. Key regulations, such as GDPR, HIPAA, and PCI DSS, along with international standards like ISO/IEC 27001 and NIST, require organizations to implement security frameworks aimed at managing risks, protecting sensitive data, and ensuring the confidentiality, integrity, and availability of information. The impact of security compliance extends beyond regulatory adherence. By implementing compliance frameworks, organizations enhance their ability to mitigate threats, respond to incidents, and recover from security breaches more effectively. These frameworks help ensure that security measures are consistent, well-documented, and aligned with industry best practices. Additionally, compliance fosters organizational accountability by requiring management oversight and promoting a security-first culture across all levels. However, compliance also presents challenges. Organizations must balance the often resource-intensive process of maintaining compliance with the need for a proactive security strategy that addresses emerging cyber threats. Compliance is sometimes viewed as a "check-the-box" activity, which may lead to a gap between regulatory adherence and actual security needs. Furthermore, the constantly evolving threat landscape requires continuous updates to compliance frameworks, which can be costly and complex, especially for multinational organizations operating under different regulatory regimes. Non-compliance can lead to severe consequences, including legal penalties, financial losses, reputational damage, and operational disruptions. As technology and cyber threats evolve, the relationship between security compliance and cybersecurity will continue to grow in importance, with a greater focus on integrating risk-based approaches and automation into compliance management.

Phenotypic characterization of different seed coat color of cowpea cultivars, Vigna unguiculata (L). Walp. in West-Central Côte d'Ivoire

Cowpea is a widely consumed legume in sub-Saharan Africa. Several cowpea cultivars based on seed coat color are widely observed. Consumers' choice of cultivar varies from one region to another. However, the lack of improved varieties and the limited availability of information on the productive potential of these cultivars is one of the constraints on the development of cowpea production. Thus, red, white, black and brown seed coat widely consumed were evaluated in the field over two consecutive years, 2022 and 2023 on a plot following a randomized complete block design with four replications. Morphological and agronomic parameters showed that there were two groups of cultivars with interesting agronomic characteristics. The first group composed of the black, brown and red cultivars had a relatively short reproductive time, averaging 66 days. These cultivars are considered early. The number of fruits of these cultivars was also high, with an average of 12 fruits per plant. The second group, consisting exclusively of the white seed coat cultivar produced high biomass and plant length. It had also twice the pod and seed weight of the other cultivars. It would be possible to develop hybrids in the future, seeking, for example, to improve the seed weight of the red cultivar with a short reproductive cycle by crossing with the white seed coat cultivar, with a view to creating an early variety with a high yield.

Exon Nomenclature and Classification of Transcripts database (ENACTdb): A resource for analyzing alternative splicing mediated proteome diversity

Abstract Motivation Gene transcripts are distinguished by the composition of their exons and this different exon composition may contribute to advancing proteome complexity. Despite the availability of alternative splicing information documented in various databases, a ready association of exonic variations to the protein sequence remains a mammoth task. Results To associate exonic variation(s) with the protein systematically, we designed the ENACT framework for uniquely annotating exons that tracks their loci in gene architecture context with encapsulating variations in splice site(s) and amino acid coding status. As part of the ENACT annotation, predicted protein features (secondary structure/disorder/Pfam domains) are mapped to exon attributes. Thus, ENACT provides trackable exonic variation(s) association to isoform(s) and protein features enabling the assessment of functional variation due to changes in exon composition. Such analyses can be readily performed through multiple views supported by the server. The exon-centric visualizations of ENACT annotated isoforms could provide insights on functional repertoire of genes due to alternative splicing and its related processes and can serve as important resource for the research community. Availability and implementation The database is publicly available at https://www.iscbglab.in/enactdb/. It contains protein coding genes and isoforms for Caenorhabditis elegans, Drosophila melanogaster, Danio rerio, Mus musculus, and Homo sapiens.

Results of Economic Tendency Surveys in Nowcasting GDP Growth

The article proves the usefulness of including aggregate information from economic tendency surveys in the system of nowcasting of economic growth. The authors compare the efficiency of vector autoregressive models that include the economic sentiment indicator based on the results of Rosstat business activity and consumer expectations surveys, and the business climate indicator based on the results of the Bank of Russia enterprise monitoring.Statistical testing of time series of composite indicators and GDP volume index confirmed a significant correlation and causality between them, as well as the similarity of their cyclical profiles. Both indices pass cyclical turning points synchronously or ahead of the GDP volume index, their predictive capabilities are enhanced by the early availability of information. The capabilities of GDP growth nowcasting using survey information are assessed in three specifications of the vector autoregressive model with dummy variables. On the in-sample period, the model including two composite indicators and the GDP volume index demonstrates the highest accuracy.The proposed approach allows us to obtain flash estimates of GDP growth prospects that are significantly ahead of the official statistical information

How to improve the inclusion of the elderly in the local community for better mental health?

Abstract Issue/problem Social exclusion, ageism and low health/digital literacy intertwine with growing trends in mental disorders, including abuse in Slovenian elderly. To cope with these issues, besides rising competencies, there is a need for stable and continuous partnerships of all relevant stakeholders in the local communities. Description of the problem Despite previous efforts of the Interdisciplinary Working Group (IWG) for mental health promotion in the elderly (established according to the Resolution of the National Mental Health Program, 2018-2028), there was a need for reconsidering approaches in the next Action plan (2024-2028). A national conference on decreasing social exclusion in the elderly contributed as a road map. Results Previous activities (events in the local communities, supported materials) were upgraded with a broad destigmatization campaign, (recruitment of the >>ambassadors <<) and collection of culturally adapted good practices. Better availability of information through >>info-spots << and easier participation of the elderly in cultural events was enabled. Activities of the reinforced IWG were promoted. Lessons Empowerment of key actors and their continuous cooperation could improve information flow, competencies, the inclusion of the elderly in the local community, and decrease ageism and discrimination. Developing local strategies with the crucial involvement of elderly representatives is the opportunity for more intensive and better cooperation between local policy/stakeholders, public health experts, and the target population. Regular financial support will prevent additional inequities. Key messages • The empowered, connected, and proactive community is key to preventing the elderly’s exclusion. • Approaches should be fresh, accessible, and tailored to the heterogeneous population.

Whole of prison approach to vaccination: co-development of information materials for people living in prison

Abstract Enhancing vaccination literacy is pivotal in addressing hesitancy, especially among incarcerated populations who may lack regular access to health information, thus ensuring health equity. Supported by the European Union, the RISE-Vac project endeavours to bolster vaccine literacy, accessibility, and uptake within European prisons. To discern vaccination knowledge gaps and preferences for information dissemination, consultations were conducted with incarcerated individuals in the United Kingdom (via the Prisoner Policy Network), France, and Moldova. A total of 344 responses were garnered: 224 from the UK, 70 from France, and 50 from Moldova. In addition a focus group was conducted in the UK. The key themes that emerged were common across the 3 participating countries: views of vaccination, prior knowledge about vaccines, areas of appetite for learning, availability of reliable information, and preferred mechanism for information sharing. Participants were particularly interested in learning about the effectiveness, side effects, and manufacturing of vaccines. Their invaluable input informed the creation of educational materials, notably a brochure slated for pilot testing in European prisons and a video clip. Notably, individuals with lived prison experience were actively engaged at every phase of this initiative, ensuring its relevance and efficacy.

Being blind (or not) to scenarios used in sacrificial dilemmas: the influence of factual and contextual information on moral responses

IntroductionTraditionally, human morality has been largely studied with classical sacrificial dilemmas. A way to advance current understandings of moral judgment and decision-making may involve testing the impact of contexts that are made available to individuals presented with these archetypal dilemmas. This preliminary study focused on assessing whether the availability of factual and contextual information delivered through classical scenarios would change moral responses.MethodA total of 334 participants were presented with sacrificial dilemmas either with a scenario or without a scenario before performing two moral tasks: one consisted in moral judgment (e.g., is it acceptable to sacrifice one person to save five?) and one was related to choice of action (e.g., would you sacrifice one person to save five?). In the condition with a scenario, participants were presented with a story describing the dilemma, its protagonists, their roles, the location and some background details of the situation, before answering to the two moral tasks. In the condition without a scenario, participants were only asked to perform the two moral tasks without any additional contextual elements usually provided by the scenario. Participants’ emotions were also measured before and after completing the two moral tasks.ResultsThe results indicated that the presence of a scenario did not affect moral judgments. However, the presence of a scenario significantly increased utilitarian action choices (i.e., sacrificing one person in the interest of saving a greater number) and this effect was partially mediated by an increase in the perceived plausibility of the sacrificial action. Regarding emotional reaction to dilemmas, no differences were observed between the two conditions, suggesting that emotions are mainly based on the two moral tasks.DiscussionThese findings underscore the value of carefully considering the role of factual and contextual information provided by the scenarios in moral dilemmas.

Unveiling social disparities in later life: Income’s Impact on mortality among the elderly in Italy

Abstract Background Income is an important predictor of adult mortality, as a proxy of living conditions, capability and access to health services. Previous studies show that mortality decreases by increasing income. In Italy, studies at a national level are missing. This study aims to investigate inequalities in mortality by income in Italy. Methods The analysis is based on the integration of the National Population Register (comprising the resident population as of Dec 31, 2018, and deaths in 2019) and the Income Statistical Register (representing perceived income during 2018). This integration enabled the availability of information on age, sex, residence, education, income, and vital status at the individual level for 13 million people aged 65 or above. Individuals were categorized according to their individual disposable income quintiles both before and after disability benefits. Inequalities by income are assessed by mortality rate ratios (MRR) estimated using negative binomial regression models controlling for demographic and socioeconomic features. The study is carried out within the Next Gen EU-funded project “Age-It Ageing well in an ageing society” (PE0000015), NRRF, M4.C2, Intervention 1.3. Results Considering income net of disability benefits, lower income levels are associated with higher mortality rates compared to the highest income level, for both sexes. Inequalities are more marked for men. The highest excess was observed for individuals with the lowest income (male MRR=1.65, 95%CI: 1.6-1.71; female MRR=1.43, 95%CI: 1.38-1.48). The excess decreases with increasing income. Conclusions The observed relationships between income and mortality are crucial for targeting policies to reduce health inequalities and promote the well-being of the elderly, the goal of which should be to improve access to social and health care and develop supportive policies for the most disadvantaged people. Further research will be devoted to the use of household income for individuals. Key messages • For the elderly, lower income levels are associated with higher mortality, with wider disparities in men. • The choice of definition of income is essential for an accurate assessment of the association between income and mortality.

From “Difficult to Find” to “Picking from the Flood”: A Turning Point to the Turning of the Times

Abstract The article exposes the evolution of scholarly information availability and processing in Czechoslovak/Czech information centres and libraries over the past five decades, linked to developments in information and communication technologies, as seen by an active participant. It also reflects the author’s perspective on the peculiarities of the Czech higher education system and the role of key figures in librarianship history.

Evolution of Algorithms and Applications for Unmanned Surface Vehicles in the Context of Small Craft: A Systematic Review

The development of autonomous vessels and unmanned surface vehicles (USVs) has generated great interest in the scientific community due to their potential and advantages for use in various environments and applications. Several literature review papers have been produced from different perspectives, contributing to a better understanding of the topic and to the analysis of advances, challenges, and trends. We hypothesize that the greatest attention has been focused on the development of high-impact applications in the maritime sector. Additionally, we depart from the need to investigate the potential and advances of USVs in fluvial environments, which involve particular operating conditions, where there are different socio-environmental conditions and restrictions in terms of access to conventional energy sources and communication systems. In this sense, the main objective of this work is to study USVs in the particular context of small craft. The search for records was conducted in Scopus and Web of Science databases, covering studies published from 2000 to 16 May 2024. The methodology employed was based on the PRISMA 2020 guidelines, which is a widely recognized protocol that ensures quality and rigor in systematic reviews and bibliometric analyses. To optimize the data collection and selection process, the semaphore technique was additionally implemented, allowing for an efficient categorization of the studies found. This combined methodological approach facilitated a systematic and transparent evaluation of the literature. This study was developed based on three research questions about the evolution of research topics, areas of application, and types of algorithms related to USVs. The study of the evolution of works on USVs was carried out based on the results of the meta-analysis generated with the Bibliometrix tool. The study of applications and developments was carried out based on information obtained from the papers for six study categories: application environment, level of autonomy, application area, algorithm typology, methods, and electronic devices used. For each of the 387 papers identified in the databases, labeling was performed for the 359 screened papers with six study categories according to the availability of information in the title and abstract. In the categories application sector, autonomy level, application area and algorithm type/task, it was identified that most studies are oriented toward the maritime sector, the developments to achieve full autonomy for USVs, the development of designs or algorithms at the modeling and simulation level, and the development and implementation of algorithms for the GNC subsystems. Nevertheless, this research has revealed a much wider range of environments and applications beyond maritime, military, and commercial sectors. In addition, from the mapping of the types of algorithms used in the GNC architecture, the study provides information that can be used to guide the design of the subsystems that enable USV autonomy for civilian use in restricted environments.

Factors Affecting Investment Decisions in Nepali Stock Market: A Systematic Review

The study examines factors influencing investment decisions in the Nepali stock market. It employs a thorough review methodology, drawing on past research across various stock market conditions. By analyzing relevant concepts, findings, and conclusions from these studies, it provides insights specific to the Nepali context. Key factors identified include market environment, investment motives, information availability, third-party opinions, the company's reputation, and herding behavior. The study highlights the importance of aligning investment strategies to achieve both long-term gains and short-term profits. Additionally, it emphasizes the need for diversification by building an investment portfolio to mitigate risks and enhance returns in the Nepali stock market.

Cassava disease detection using a lightweight modified soft attention network.

Cassava is a high-carbohydrate crop that is at risk of viral infections. The production rate and quality of cassava crops are affected by several diseases. However, the manual identification of diseases is challenging and requires considerable time because of the lack of field professionals and the limited availability of clear and distinct information. Consequently, the agricultural management system is seeking an efficient and lightweight method that can be deployable to edged devices for detecting diseases at an early stage. To address these issues and accurately categorize different diseases, a very effective and lightweight framework called CDDNet has been introduced. We used MobileNetV3Small framework as a backbone feature for extracting optimized, discriminating, and distinct features. These features are empirically validated at the early intermediate stage. Additionally, we modified the soft attention module to effectively prioritize the diseased regions and enhance significant cassava plant disease-related features for efficient cassava disease detection. Our proposed method achieved accuracies of 98.95%, 97.03%, and 98.25% on Cassava Image Dataset, Cassava Plant Disease Merged (2019-2020) Dataset, and the newly created Cassava Plant Composite Dataset, respectively. Furthermore, the proposed technique outperforms previous state-of-the-art methods in terms of accuracy, parameter count, and frames per second values, ultimately making the proposed CDDNet the best one for real-time processing. Our findings underscore the importance of a lightweight and efficient technique for cassava disease detection and classification in a real-time environment. Furthermore, we highlight the impact of modified soft attention on model performance. © 2024 The Author(s). Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Rapidly Evolved Genes in Three Reaumuria Transcriptomes and Potential Roles of Pentatricopeptide Repeat Superfamily Proteins in Endangerment of R. trigyna.

Reaumuria genus (Tamaricaceae) is widely distributed across the desert and semi-desert regions of Northern China, playing a crucial role in the restoration and protection of desert ecosystems. Previous studies mainly focused on the physiological responses to environmental stresses; however, due to the limited availability of genomic information, the underlying mechanism of morphological and ecological differences among the Reaumuria species remains poorly understood. In this study, we presented the first catalog of expressed transcripts for R. kaschgarica, a sympatric species of xerophyte R. soongorica. We further performed the pair-wise transcriptome comparison to determine the conserved and divergent genes among R. soongorica, R. kaschgarica, and the relict recretohalophyte R. trigyna. Annotation of the 600 relatively conserved genes revealed that some common genetic modules are employed by the Reaumuria species to confront with salt and drought stresses in arid environment. Among the 250 genes showing strong signs of positive selection, eight pentatricopeptide repeat (PPR) superfamily protein genes were specifically identified, including seven PPR genes in the R. soongorica vs. R. trigyna comparison and one PPR gene in the R. kaschgarica vs. R. trigyna comparison, while the cyclin D3 gene was found in the R. soongorica vs. R. trigyna comparison. These findings suggest that genetic variations in PPR genes may affect the fertility system or compromise the extent of organelle RNA editing in R. trigyna. The present study provides valuable genomic information for R. kaschgarica and preliminarily reveals the conserved genetic bases for the abiotic stress adaptation and interspecific divergent selection in the Reaumuria species. The rapidly evolved PPR and cyclin D3 genes provide new insights on the endangerment of R. trigyna and the leaf length difference among the Reaumuria species.

Rainfall Erosivity over Brazil: A Large National Database

Rainfall erosivity (RE) represents the potential of rainfall to cause soil erosion, and understanding its impact is essential for the adoption of soil and water conservation practices. Although several studies have estimated RE for Brazil, currently, no single reliable and easily accessible database exists for the country. To fill this gap, this work aimed to review the research and generate a rainfall erosivity database for Brazil. Data were gathered from studies that determined rainfall erosivity from observed rainfall records and synthetic rainfall series. Monthly and annual rainfall erosivity values were organized on a spreadsheet and in the shapefile format. In total, 54 studies from 1990 to 2023 were analyzed, resulting in the compilation of 5516 erosivity values for Brazil, of which 6.3% were pluviographic, and 93.7% were synthetic. The regions with the highest availability of information were the Northeast (35.6%), Southeast (30.1%), South (19.9%), Central-West (7.7%), and North (6.7%). The database, which can be accessed on the Mendeley Data platform, can aid professionals and researchers in adopting public policies and carrying out studies aimed at environmental conservation and management basin development.

Influencer marketing effectiveness: A meta-analytic review

AbstractInfluencer marketing significantly impacts consumer behavior and decision-making. However, identifying the drivers of influencer marketing effectiveness and conditions that enhance their impact remains challenging. This meta-analysis, which synthesizes 1,531 effect sizes from 251 papers, assesses influencer marketing effectiveness by examining its antecedents, mediators, and moderators. Building on the persuasion knowledge model to develop and test a framework, we identify post, follower, and influencer characteristics as key antecedents impacting both non-transactional (i.e., attitude, behavioral engagement, and purchase intention) and transactional (i.e., purchase behavior and sales) marketing outcomes. For non-transactional outcomes, follower characteristics (social identity) have the strongest effects on consumer attitudes and behavioral engagement, while post characteristics (informational value and hedonic value) exert stronger effects on purchase intention. For transactional outcomes, influencer characteristics (influencer communication) have the strongest effects on purchase behavior. These antecedents also affect marketing outcomes indirectly through persuasion knowledge and source credibility. Moderation results indicate that direct and indirect effects of antecedents depend on social media types (i.e., nature of connection and usage) and product types (i.e., information availability and status-signaling capability). These results consolidate and advance the literature and offer insights into enhancing the effectiveness of influencer marketing.

Interpretation of geological heritage on nature trails and geotrails in Geopark Banská Štiavnica and their online information availability

The inherent link between the mining history and culture in the region of Banská Štiavnica (Slovakia) and the unique geological and morphological heritage offers significant potential for the development of geotourism and educational trails, thus presenting the heritage to a wide spectrum of visitors. In recent years, online availability of information about such trails has become very important for the digital society that uses the internet and social networks daily. This article focuses on the development and online information availability of geotrails located in the territory of the first Slovak geopark, Banská Štiavnica Geopark. Results show that there are very few geoscience-based trails with limited online information available. By investing in effective on-site heritage interpretation and proper online promotion, the territory can become a premier geotourism destination.

Host plant suitability for the biological performance of Tetranychus urticae Koch and its predator, Phytoseiulus persimilis Athias-Henriot

The life table parameters provide the most extensive information on the biological features of pests and natural enemies, facilitating the potential employment of biological agents in pest management programs. This study investigated how cucumber, strawberry, eggplant, and tomato plants influence the reproduction and life-table parameters of Tetranychus urticae Koch and its predator, Phytoseiulus persimilis Athias-Henriot under laboratory conditions. It also explored the relationship between these parameters and leaf trichome density and the levels of polyphenol compounds. The mites’ biological properties varied based on the morphological and chemical differences in host plant leaves. Both T. urticae and P. persimilis exhibited higher development and reproduction rates on strawberry and cucumber leaves compared to eggplant and tomato plants. Eggplant leaves had the highest polyphenol content (3826.99 mg/kg), followed by tomato leaves (2406.86 mg/kg). The lowest total amount of polyphenol compounds was (704.34 mg/kg) and (273.743 mg/kg) in strawberry and cucumber leaves, respectively. The life table parameters of P. persimilis significantly differed when it fed on T. urticae that had been reared on strawberry, cucumber, eggplant, and tomato leaves. Overall, the results showed that the net (R0) and gross (GRR) reproductive rates were reduced when the predator preyed T. urticae that had been reared on eggplant and tomato leaves. Consequently, the intrinsic (rm) and finite (λ) rates of increase were affected. As a result, the performance of P. persimilis was negatively affected on these plants. The availability of information on the biological performance of P. persimilis is necessary for promoting biological control implementation.