Integrated Management Research Articles

Prevalence of polypharmacy, drug-drug interactions, and inappropriate prescription in elderly patients with urological cancers.

e23312 Background: Around 50% of new cancer diagnoses occur in patients (pts) > 65 years. Older adults tend to have more comorbidities and therefore prescription of several drugs. Polypharmacy (PP) [defined as prescription of > 5 drugs] has been identified as a prognostic factor and might also lead to relevant drug-drug interactions (DDI) and it is also associated in occasions with inappropriate prescriptions (IP). This study aims to determine prevalence of PP, DDI and potential IP in a uro-oncology clinic. Methods: Pts ≥ 70 years with urological tumors consecutively seen in a medical oncology clinic [May 1st- August31st2023] were offered to complete a questionnaire that included questions about drugs regularly taken, doses, frequency, objective of the treatment along with some key epidemiological data. A descriptive analysis of this information was performed to identify PF along with a search for DDI ( DrugDex ®) and IP (STAR/STOPP criteria). Results: 91 pts agreed to participate and 87 complete the questionnaires. Mean age was 76 years (range 70-91) and 84.5% were men; 64%, 31 and 5% had ECOG 0,1 and 2 respectively. The predominant cancer type was bladder (41%), followed by prostate (40%) and kidney cancer (19%). Polypharmacy was identified in 54 pts (62%), with 12 pts (22%) having ≥ 10 drugs prescribed. Two cases (2%) of duplicity of treatment were found (laxative; hypnotic). Ninety-five major and 37 moderate DDI were detected, of which 8 occurred between anticancer drugs (abiraterone, pazopanib, everolimus and carboplatin) and outpatient treatments. An IP analysis is being currently conducted and data will be presented at the meeting. Conclusions: Our study shows a high prevalence of polypharmacy in older adults with urological tumors and a significant rate of drug-drug interactions including interferences with oncological treatments. These results highlight the need for careful reviewing and monitoring the drugs prescribed to our patients in the clinic and calls for strengthen collaborations with pharmacists and nurses to optimize integral management of GU cancer patients.

WITHDRAWN: Research on pipeline corrosion prediction based on RF-PSO-BP Algorithm

The transportation of oil and gas relies heavily on pipelines, and pipeline corrosion is a major factor affecting pipeline reliability. It can lead to pipeline failure and other damage. Pipeline corrosion prediction is of great importance for pipeline integrity management and failure prevention. A physical law intervening RF(Random Forest)-PSO(Particle Swarm Optimization)-BP(Back Propagation Neural Network) algorithm is proposed to predict pipeline corrosion rate. The DeWaard physical model is first fitted to the data, and the fitted physical model predicts pipeline corrosion to form a new feature, which is then combined with the features extracted by the RF algorithm to form a new feature that is used as an input metric for the data-driven model. Secondly, the already constructed features are divided into training set and testing set. The training set is used to train the PSO-BP model, and the test set is used to test the accuracy of the model. The model is evaluated using the metrics such as MAE, MBE, MAPE, and R2. To show the superiority of the proposed model, the proposed model is compared with other models. The results show that the proposed model has some advantages in both feature analysis and corrosion prediction, and it has some theoretical guidance for pipeline protection.

China Anti-Cancer Association Guidelines for the diagnosis, treatment, and follow-up of thymic epithelial tumors (2023).

Thymic epithelial tumors (TETs) are a relatively rare type of thoracic tumors with higher incidence in Asians. The diagnosis and treatment pattern has long been based mainly on clinical experience and expert consensus. In recent years, with an increasing number of TETs detected in physical examinations, there is an urgent need to develop the guidelines that apply to the Chinese population. Thus, we intend to develop a holistic integrative guideline for TETs. Under the leadership of the Chinese Anti-Cancer Association (CACA) Mediastinal Tumor Committee, a multidisciplinary guideline development group was established. Systemic literature review and two rounds of questionnaires regarding key clinical issues were carried out. The grading of recommendations assessment, development and evaluation (GRADE) approach was used to rate the quality of evidence and the strength of recommendations. The CACA guideline provides recommendations for the clinical differential diagnosis of anterior mediastinal lesions, management of asymptomatic small anterior mediastinal nodules, pathological classification and staging systems of TETs, as well as principles of surgery, neoadjuvant and adjuvant therapies, systemic therapies for advanced TETs, and follow-up strategies after surgical resection. This guideline provides holistic integrative management strategies for TETs and would be a useful tool for clinicians on decision-making.

Die Annahmequote bei unterschiedlichen Gestaltungsmodellen des betrieblichen Eingliederungsmanagements (BEM)

The acceptance rate for different design models of occupational integration management (OIM) Since the introduction of occupational integration management (OIM) in 2004, various ways of implementing OIM have been developed. A systematic literature analysis was used to search for and compare OIM acceptance rates for different design models. However, only a few publications could be identified, and only some of these gave concrete figures. The majority of the results related to the public sector and showed rates of between 12 % to 58 %. To that extent there is a clear need for research to enable companies to select the optimum model for themselves and to be able to quickly reintegrate OIM beneficiaries into the company. Keywords: operational integration management (OIM) – Acceptance rate – OIM-design – systematic literature analysis

Analytics of AI-Driven B2B Marketing Excellence for Sustainable Firm Performance in the Digital Age: SEM Analysis

This study utilized Structural Equation Modeling to analyze B2B marketing excellence from 260 respondents across various B2B companies in Oman. The study uses a convenient sampling approach to explore the multifaceted relationship between AI-driven strategies and B2B marketing excellence for sustainable firm performance. Furthermore, Smart-PLS is leveraged for its adaptability in handling complex high-order SEM structures. The hypotheses suggest that AI-driven marketing excellence positively correlates with information management, integration, and implementation management systems. Through rigorous analysis, this research sheds light on AI's influence on B2B marketing dynamics, offering valuable policy implications and tangible outcomes for businesses navigating the digital age. The findings render the role AI's role in shaping the future of sustainable B2B marketing excellence.

Documentation Management System with PDF Chat

Abstract:DMS represents the principle of software and hardware solutions that provide many capabilities including data storage, version control, metadata tagging, management and advanced search. These systems are essential tools for businesses, governm ent agencies, schools, doctors, professionals, and individuals looking to improve their information management strategies. By fa cilitating collaboration in the business environment to ensures data integrity and public compliance management, DMS has prov en to be relevant in many ways.DMS represents the principle of software and hardware solutions that provide many capabilities i ncluding data storage, version control, metadata tagging, management and advanced search. These are essential tools for busine sses, government agencies, schools, doctors, professionals, and individuals looking to improve their datas management strategies . To Build this system we have used ReactJS for frontend, NestJS for Backend, for Database we used PostgreSQL and for the PDF chat we used Langchain in Python.

Advancement of Liquid Immersion Cooling for Data Centers

With the increasing processing capabilities of data centers, the demand for advanced cooling has been increased, positioning liquid immersion cooling systems as a focal point due to their effectiveness and environmental benefits. This paper reviews the current state and prospects of liquid immersion cooling technologies for data centers by paper analyzing. The research spans the optimization of cooling technology parameters, material and coolant performance, as well as system level integration and thermal management. The characteristics analysis of liquids and supercritical fluids underscores the significance of coolant selection Innovative cooling network designs have been shown to initiate failures and improve thermal distribution, enhancing data center performance and reliability. Additionally, the interplay between cooling systems and IT systems has been explored for its overall energy efficiency impact. Liquid immersion cooling technology demonstrates vast potential in ensuring safety, enhancing heat exchange efficiency, and meeting the growing needs of future data center development. Nonetheless, a deep understanding of complex fluid dynamics and heat transfer mechanisms remains key to driving technological advantages.

A comprehensive review of Pseudocercospora fruit and leaf spot (angular leaf spot): Current status, advances and future directions for sustainable citrus production

AbstractPseudocercospora fruit and leaf spot (PFLS), also known as angular leaf spot of citrus, is a devastating fungal disease that poses a significant threat to citrus production, profitability and food security in sub‐Saharan Africa and the Arabian Peninsula. In the present review, we explore current knowledge regarding PFLS management initiatives, including cultural practices, chemical control strategies and biological interventions. Furthermore, this review highlights the challenges faced in controlling PFLS and emphasizes the urgent need for sustainable and cost‐effective solutions to combat the disease. We discuss recent advancements and emerging prospects in understanding PFLS, including novel approaches for disease management and the potential for developing resistant citrus cultivars through breeding programmes or genetic modification. By synthesizing existing research findings and identifying gaps in knowledge, this review aims to provide a comprehensive understanding of PFLS and its impact on food security. We emphasize the importance of collaborative efforts, knowledge exchange and developing integrated disease management strategies to control PFLS and mitigate its detrimental effects on citrus production and farmers' livelihoods in affected regions.

Key parameters and major components in wearable electronics

The revolutionary influence of wearable electronics on health monitoring is highlighted in this research. It explores the critical dimensions and components of wearable electronics. It investigates how sensors may be integrated for noninvasive techniques like sweat analysis to analyze biochemical indicators like glucose and electrolyte levels and vital signs in real-time. The research emphasizes how crucial it is to consider user comfort, data security, device sensitivity, and stability while creating wearable health monitoring. It concludes with the promise of these devices to support large-scale health research and individualized health management. It also addresses the difficulties in sensor integration, data accuracy, and power management.

Comparative Evaluation of In-vitro Bioefficacy of Microbial Bioagents and Novel Chemical Compounds against Fusarium oxysporum f.sp. Cubense

The Assam and North-eastern regions of India recognized as diverse repositories of wild and cultivated banana cultivars, confront a significant threat to banana varieties, Malbhog due to Fusarium wilt disease caused by Fusarium oxysporum f.sp. cubense (Foc). This study investigates the in-vitro bioefficacy of indigenous bioagents and new-generation chemical compounds against Foc to develop an integrated module subsequently, in line with the worldwide pursuit of environmentally conscientious and high-performance agricultural practices.In this study, four bioagents viz., Bacillus vallismortis, Bacillus amyloliquefaciens, Trichoderma harzianum, and Talaromyces pinophilus were screened in-vitro against Foc revealed the highest efficacy of B. vallismortis with 68.22 % mycelial growth inhibition of Foc followed by B. amyloliquifaciens with (60.05%) and the least inhibition was exhibited by T.pinophilus with (50.05%).To identify new generation chemical compounds, namely Propiconazole, Azoxystrobin, Tebuconazole + Trifloxystrobin were tested with a standard check Carbendazim wherein all the chemicals significantly inhibited the mycelial growth of the pathogen over control with Tebuconazole + Trifloxystrobin combination fungicide showing highest percent inhibition of 94% at 0.1% concentration followed by Carbendazim at 0.1%. Our study has identified potential microbial strains and chemical fungicides which can be further explored for the development and exploration of bio-fungicide and chemical fungicide-based biointensive integrated management of Fusarium wilt menace in malbhog banana in the region.

Relation of changes in ABC pathway compliance status to clinical outcomes in patients with atrial fibrillation: A report from the COOL-AF registry.

The Atrial fibrillation Better Care (ABC) pathway provides a framework for holistic care management of atrial fibrillation (AF) patients. This study aimed to determine the impact of changes in compliance to ABC pathway management on clinical outcomes. This is a prospective multicenter AF registry. Patients with non-valvular AF were enrolled and follow-up for 3 years. Baseline and follow-up compliance to the ABC pathway was assessed. The main outcomes were all-cause death, ischemic stroke/systemic embolism (SSE), major bleeding, and heart failure. There studied 3096 patients (mean age 67.6±11.1 years, 41.8% female). Patients were categorized into 4 groups: Group 1: ABC compliant at baseline and 1 year [n=1022 (33.0%)]; Group 2: ABC non-compliant at baseline but compliant at 1 year [n=307 (9.9%)]; Group 3: ABC compliant at baseline and non-compliant at 1 year [n=312 (10.1%)]; and Group 4: ABC non-compliant at baseline and also at 1 year [n=1455 (47.0%)]. The incidence rates (95% confidence intervals, CI) of the composite outcome for Group 1 to 4 were 5.56 (4.54-6.74), 7.42 (5.35-10.03), 9.74 (7.31-12.70), and 11.57 (10.28-12.97), respectively. With Group 1 as a reference, Group 2-4 had hazard ratios (95% CI) of the composite outcome of 1.32 (0.92-1.89), 1.75 (1.26-2.43), and 2.07 (1.65-2.59), respectively. Re-evaluation of compliance status of the ABC pathway management is needed to optimize integrated care management and improve clinical outcomes. AF patients who were ABC pathway compliant at baseline and also at follow-up had the best clinical outcomes.

Leakage detection of an acoustic emission pipeline based on an improved transformer network

Pipeline leakage detection is an integral part of pipeline integrity management. Combining AE (Acoustic Emission) with deep learning is currently the most commonly used method for pipeline leakage detection. However, this approach is usually applicable only to specific situations and requires powerful signal analysis and computational capabilities. To address these issues, this paper proposes an improved Transformer network model for diagnosing faults associated with abnormal working conditions in acoustic emission pipelines. First, the method utilizes the temporal properties of the GRU and the positional coding of the Transformer to capture and feature extract the data point sequence position information to suppress redundant information, and introduces the largest pooling layer into the Transformer model to alleviate the overfitting phenomenon. Second, while retaining the original attention learning mechanism and identity path in the original DRSN, a new soft threshold function is introduced to replace the ReLU activation function with a new threshold function, and a new soft threshold module and adaptive slope module are designed to construct the improved residual shrinkage unit (ASB-STRSBU), which is used to adaptively set the optimal threshold. Finally, pipeline leakage is classified. The experimental results show that the NDRSN model is able to make full use of global and local information when considering leakage signals and can automatically learn and acquire the important parameters of the input features in the spatial and channel domains. By optimizing the GRU improved Transformer network recognition model, the method significantly reduces the model training time and computational resource consumption while maintaining high leakage recognition accuracy. The average accuracy reached 93.97%. This indicates that the method has good robustness in acoustic emission pipeline leakage detection.

Development and Validation of Avena Integrated Management (AIM): A Bioeconomic Decision Support Tool for Wild Oat Management in Australian Grain Production Systems

Abstract Wild oat is a long-standing weed problem in Australian grain cropping systems, potentially reducing the yield and quality of winter grain crops significantly. The effective management of wild oat requires an integrated approach of diverse control techniques that suit specific crops and cropping situations. This research aimed to construct and validate a bioeconomic model that enables the simulation and integration of weed control technologies for wild oat in grain production systems. The Avena spp. integrated management (AIM) model was developed with a simple interface to provide outputs of biological and economic data (crop yields, weed control costs, emerged weeds, weed seedbank, gross margins) on wild oat management data in a cropping rotation. Uniquely, the AIM was validated against real-world data on wild oat management in a wheat and sorghum cropping rotation, where the model was able to reproduce the patterns of wild oat population changes as influenced by weed control and agronomic practices. Correlation coefficients for 12 comparison scenarios ranged between 0.55 and 0.96. With accurate parameterization, AIM is thus able to make useful predictions on the effectiveness of individual and integrated weed management tactics for wild oat control in grain cropping systems.

Tungiasis among children in Kenya is associated with poor nutrition status, absenteeism, poor school performance and high impact on quality of life.

Tungiasis is a highly neglected tropical skin disease caused by the sand flea, Tunga penetrans. The flea burrows into the skin inducing a strong inflammatory response, leading to pain and mobility restrictions with potential impacts on quality of life. Few countries implement control efforts and there are few data on the impact of the disease to support policy decisions. We conducted a survey to determine the impact of tungiasis among primary school children across nine counties of Kenya. A total of 10,600 pupils aged 8 to 14 years were randomly selected from 97 primary schools and examined for tungiasis. For 81 cases and 578 randomly selected controls, anthropometric measurements were made, and school attendance and exam scores were collected from school records. Of those with tungiasis, 73 were interviewed regarding their quality of life using a tungiasis-specific instrument. Mixed effect ordered logistic and linear models were used to assess associations between disease status and impact variables. Compared to uninfected pupils, those with tungiasis had lower weight-for-age z-scores (adjusted β -0.41, 95% CI: -0.75-0.06, p = 0.020), missed more days of school the previous term (adjusted Incidence Rate Ratio: 1.49, 95% CI: 1.01-2.21, p = 0.046) and were less likely to receive a high score in mathematics (aOR 0.18, 95% CI: 0.08-0.40, p<0.001) and other subjects. Pupils with severe disease (clinical score >10) were four times more likely to experience severe pain than those with mild disease (OR 3.96, 95% CI: 1.35-11.64, p = 0.012) and a higher impact on their quality of life than those with mild disease (aOR 3.57, 95% CI: 1.17-10.8, p = 0.025) when adjusted for covariates. This study has demonstrated tungiasis has a considerable impact on children's lives and academic achievement. This indicates the need for integrated disease management for school-aged children to protect their physical and cognitive development and their future prospects.

Inland navigation and land use interact to impact European freshwater biodiversity.

Inland navigation in Europe is proposed to increase in the coming years, being promoted as a low-carbon form of transport. However, we currently lack knowledge on how this would impact biodiversity at large scales and interact with existing stressors. Here we addressed this knowledge gap by analysing fish and macroinvertebrate community time series across large European rivers comprising 19,592 observations from 4,049 sampling sites spanning the past 32 years. We found ship traffic to be associated with biodiversity declines, that is, loss of fish and macroinvertebrate taxonomic richness, diversity and trait richness. Ship traffic was also associated with increases in taxonomic evenness, which, in concert with richness decreases, was attributed to losses in rare taxa. Ship traffic was especially harmful for benthic taxa and those preferring slow flows. These effects often depended on local land use and riparian degradation. In fish, negative impacts of shipping were highest in urban and agricultural landscapes. Regarding navigation infrastructure, the negative impact of channelization on macroinvertebrates was evident only when riparian degradation was also high. Our results demonstrate the risk of increasing inland navigation on freshwater biodiversity. Integrative waterway management accounting for riparian habitats and landscape characteristics could help to mitigate these impacts.

Forest policy in Nordic countries: Expert opinions on future needs, uncertainties, and recommendations

There are broad calls in national and international forest policy processes for basing decision-making on the best obtainable scientific knowledge. Simultaneously, there is also a need to accommodate plural values and objectives people and society in general have associated with forests. An essential step for building an evidence base that accommodates pluralistic understandings is to capture informant views on forest policies and the alternatives they offer to better prepare for future scenarios. This article draws on research experts’ views in Finland, Sweden, Norway, and Denmark, gathered from interviews between February and May 2023. An existing gap to bridge is understanding to what extent such views differ or correlate across the study countries. By systematizing on the similarities and differences in opinions, we develop a synopsis of future needs and uncertainties in policies across the studied countries, concluding with recommendations for determining the use of Nordic forests. Despite divergence in personal views and uncertainties about the future, most respondents saw a need for inclusive policymaking, policy coherence and integration, and changes in forest management. We find that strengthening evidence-basis, stakeholder participation, adaptive governance, and integrative forest management are challenges for future policy making.

РИЗИКИ ЯКОСТІ АУДИТОРСЬКИХ ПОСЛУГ

Introduction. Today, more than a million subjects of economic activity in the world are certified according to the ISO 9001 standard - quality management system. The quality management system (QMS) is an integral part of management that follows both market norms and business rules. The practice of implementing QMS, along with the optimistic results of quality improvements, reveals the debatable aspects of such processes. Problem Statement. The International Quality Management Standards application (which is one of the main audit reform directions in Ukraine) is today complicated both by the active pace of the mentioned processes (insufficient time for the unification of quality policies and procedures) and the difficulty of international regulatory practical application policies and procedures regarding audit quality. Subjects quite often postpone their orders for conducting a mandatory audit during the period of martial law, which leads to the emergence of quality control risks. Purpose – coverage of modern trends in the audit quality risks identification and assessment, justification for an audit firm of an alternative internal quality management system as an integral operational management component, that will enable the systematic approach formation to conduct a competitive audit. Methods. General scientific and special methods are used: analysis, synthesis, grouping, description, comparison, theoretical generalization and abstract-logical. Results. The complex nature of quality risks in modern audit conditions, their impact on the validity, reliability and persuasiveness of the auditor's opinion is revealed. The quality risk is investigated based on a comprehensive risk assessment in terms of the audit company's “quality management system” components. Common errors of auditing companies in the quality management system organization, the significance of their impact on compliance with norms and goals of audit quality are given. Based on the conceptual rules and principles of the International Quality Management Standards, alternative components of the “Quality Management System” for the audit company, their structural and logical connections with the identification of the functional role are proposed. Based on the international practice of risk-oriented management, methodical approaches to the identification and risk assessment are proposed, alternatives for internal regulation and specified processes documentation are revealed. Conclusions. The quality management system does not have a simple cycle, its effectiveness lies in systemic regulatory and internal management development. The internal audit of the QMS cannot fulfill its function by declarative decisions only. Due to the established communication with the auditors, interest in the demand for his role, the person responsible for the company's QMS should raise his competence' level, work with quality risks “in advance”. Issues of audit quality risk management highlighted in the article are quite new and require the methodological and practical principles formation of regulation and conceptually unified mechanisms for the implementation of such processes by audit companies.

Screening of Maize Inbred Lines Under Artificial Epiphytotic for Their Reaction to Grey Leaf Spot (&amp;lt;i&amp;gt;Cercospora zeae-maydis&amp;lt;/i&amp;gt;)

Maize (Zea mays L) is one of the most widely cultivated crops and it is the basis for food security in many developing countries in Africa, and is an important food crop in Ethiopia. Despite of, its importance the crop it is affected by many biotic stresses such as pest and diseases attack. Grey leaf spot, caused by Cercospora Zeae maydis is the most important foliar disease of maize. The disease is characterized by relatively rapid leaf necrosis and premature death of foliage which eventually reduces grain yield. Development of host resistance to this disease can provide an important component of integrated disease management; which is the most effective and practical method of managing maize disease. The study was conducted to evaluate the reaction of maize inbred lines to GLS in the main cropping season during 2020. The inbred lines were obtained from Bako National Maize Research Center, breeding program, and it was arranged using alpha-lattice design with two replications. The inbred lines were evaluated in GLS screening field under artificial inoculation at Bako West Shewa, Ethiopia. Plot based Disease severity scores (1-5 scale) was used to assess at ten days intervals from disease onset to maturity. All the inbred lines showed disease symptom during the season, but the intensity of the diseases differed significantly at (P&amp;lt;0.05) among the inbred lines. Out of 72 genotypes screened for GLS, 20 inbred lines viz. BKL002, BKLOO4, CML 165, MBRC5BCF108-2-3-1, TZMI746, TZMI719, TZMI733, CML547, CML543, CML536, CZLQ1, CZLQ2, CML511, ILO&amp;apos;00E-5-5-3-1-1, 30H83-7-1-3-1-1-1-1, TZMI750, TZMI763, 30H83-7-1-2-1-1-1-#-#, DE-38-Z-126-3-2-2-2-1-1-#, TZMI407-short-#-#-# were identified to be resistant whereas TZMI746 and CML536 inbred lines are suitable candidates for utilization in both grain yield and GLS resistance, thus recommended for inclusion in hybrid development programs.

Analyzing Sustainable Design in Post-Pandemic Business Space Planning from Consumer Perspective

The pandemic brought transformations in daily life and societal structures. It has impacted the design and planning of commercial spaces. Commercial spaces, serving as the direct interface with consumers, have played a more pivotal role recently. Consumer viewpoints and demands have been changed beyond comfort and convenience to mitigate concerns related to sustainable development and health. From the consumer perspective, we explored the key factors for the sustainable design of commercial spaces in the post-pandemic era. Kansei engineering, factor analysis, and the Kano model were used to identify dimensions, namely safety and comfort, community engagement and sustainability, environmental conservation and resource efficiency, as well as technological integration and waste management. Consumers expect commercial spaces to provide safety measures, adequate ventilation, hygiene and cleanliness, green landscapes, personalized services, and social distancing arrangements to create a pleasant and secure environment. Additionally, they are concerned about whether commercial spaces actively engage with the community, promote sustainable development, and prioritize energy efficiency. The result contributes to the optimization and sustainable development of commercial spaces. By comprehending consumer perspectives, companies can overcome the challenges of the post-pandemic era, innovate in the design of commercial spaces, and create business environments that are more appealing and aligned with consumer expectations.

Impacts of a Commercially Available Horticultural Oil Biopesticide (EF-400) on the Tomato-Phytophthora infestans Pathosystem.

Biopesticide fungicides are naturally derived compounds that offer protection from plant diseases through various modes of action, including antimicrobial activity and upregulation of defense responses in host plants. These plant protectants provide a sustainable and safe alternative to conventional pesticides in integrated disease management programs and are especially salient in the management of high-risk and economically important diseases such as late blight of tomato and potato, for which host resistance options are limited. In this study, a commercially available biopesticide, EF400 comprised of clove (8.2%), rosemary (8.1%), and peppermint oils (6.7%) (Anjon AG, Corcoran, CA), was investigated for its effects on the Phytophthora infestans-tomato pathosystem. Specifically, we evaluated the impact of EF400 on P. infestans growth in culture, disease symptoms in planta, and activation of host defenses through monitoring transcript accumulation of defense-related genes. The application timing and use rate of EF400 were further investigated for managing tomato late blight. EF400 delayed the onset of tomato late blight symptoms, although not as effectively as the copper hydroxide fungicide Champ WG (Nufarm Americas Inc., Alsip, IL). Pathogen mycelial growth and sporangial quantity on late blight-susceptible tomato leaves were significantly reduced with EF400. The biopesticide also had an enhancing or suppressing effect on the transcript accumulation of three defense-related genes: Pin2, PR1a, and PR1b. Our work in exploring a commercially available horticultural oil biopesticide meaningfully contributed to the essential knowledge base for optimizing recommendations for the management of tomato late blight.