Benefits Of Management Research Articles

When project outcomes matter: Organizational integration in managing long-term target benefits

We build on the research on managing long-term benefits by focusing on the management of outcomes during project execution through the theoretical lens of organizational integration research. Our research question is as follows: How can organizations arrange integration among organizational levels, functions, and projects to ensure the effective development of project outcomes and long-term target benefits? To address this question, we conducted a single case study with the Finnish Defence Forces (FDF) and four defense system projects as embedded cases. Our study provides new knowledge on project benefits management in three distinct areas: the integration mechanisms connecting projects, executives, and functions throughout project execution; effective information processing mechanisms for managing the development of outcomes; and the rhythmic initiation of new projects based on improved knowledge from ongoing projects. Based on our findings, we develop a model that covers project-to-organization, organization-to-project, and project-to-project interactions.

Restricted Dispersal and Phenotypic Response to Water Depth in a Foundation Seagrass.

Species conservation and management benefit from precise understanding of natural patterns of dispersal and genetic variation. Using recent advances in indirect genetic methods applied to both adult plants and dispersed seeds, we find that the mean seed dispersal in a threatened marine foundation plant (the eelgrass Zostera marina) is approximately 100-200 m. This distance is surprisingly more similar to that of wind-dispersed terrestrial seeds (~10s to 100s of meters) than the passive dispersal of marine propagules via currents (~10s to 100s of kilometres). Because nearshore marine plants like Zostera are commonly distributed across strong selective gradients driven by bathymetry (depth) even within these restricted spatial scales, seeds are capable of dispersing to novel water depths and experiencing profound shifts in light availability, temperature and wave exposure. We documented strong phenotypic variation and genome-wide differentiation among plants separated by approximately the spatial scale of mean realised dispersal. This result suggests genetic isolation by environment in response to depth-related environmental gradients as one plausible explanation for this pattern. The ratio of effective to census size (or Ne/Nc) approximated 0.1%, indicating that a fraction of existing plants provides the genetic variation to allow adaptation to environmental change. Our results suggest that successful conservation of seagrass meadows that can adapt to microspatial and temporal variation in environmental conditions will be low without direct and persistent intervention using large numbers of individuals or a targeted selection of genotypes.

Dapagliflozin mitigates cellular stress and inflammation through PI3K/AKT pathway modulation in cardiomyocytes, aortic endothelial cells, and stem cell-derived β cells

Dapagliflozin (DAPA), a sodium-glucose cotransporter 2 (SGLT2) inhibitor, is well-recognized for its therapeutic benefits in type 2 diabetes (T2D) and cardiovascular diseases. In this comprehensive in vitro study, we investigated DAPA’s effects on cardiomyocytes, aortic endothelial cells (AECs), and stem cell-derived beta cells (SC-β), focusing on its impact on hypertrophy, inflammation, and cellular stress. Our results demonstrate that DAPA effectively attenuates isoproterenol (ISO)-induced hypertrophy in cardiomyocytes, reducing cell size and improving cellular structure. Mechanistically, DAPA mitigates reactive oxygen species (ROS) production and inflammation by activating the AKT pathway, which influences downstream markers of fibrosis, hypertrophy, and inflammation. Additionally, DAPA’s modulation of SGLT2, the Na+/H + exchanger 1 (NHE1), and glucose transporter (GLUT 1) type 1 highlights its critical role in maintaining cellular ion balance and glucose metabolism, providing insights into its cardioprotective mechanisms. In aortic endothelial cells (AECs), DAPA exhibited notable anti-inflammatory properties by restoring AKT and phosphoinositide 3-kinase (PI3K) expression, enhancing mitogen-activated protein kinase (MAPK) activation, and downregulating inflammatory cytokines at both the gene and protein levels. Furthermore, DAPA alleviated tumor necrosis factor (TNFα)-induced inflammation and stress responses while enhancing endothelial nitric oxide synthase (eNOS) expression, suggesting its potential to preserve vascular function and improve endothelial health. Investigating SC-β cells, we found that DAPA enhances insulin functionality without altering cell identity, indicating potential benefits for diabetes management. DAPA also upregulated MAFA, PI3K, and NRF2 expression, positively influencing β-cell function and stress response. Additionally, it attenuated NLRP3 activation in inflammation and reduced NHE1 and glucose-regulated protein GRP78 expression, offering novel insights into its anti-inflammatory and stress-modulating effects. Overall, our findings elucidate the multifaceted therapeutic potential of DAPA across various cellular models, emphasizing its role in mitigating hypertrophy, inflammation, and cellular stress through the activation of the AKT pathway and other signaling cascades. These mechanisms may not only contribute to enhanced cardiac and endothelial function but also underscore DAPA’s potential to address metabolic dysregulation in T2D.Graphical abstract

The potential of non-clinical guidance alongside e-mental Health to overcome non adherence

Abstract Background Mental health problems account worldwide for over an eighth of the global burden of disease and waiting lists nowadays are commonplace. E-Health has potential to reduce mental illness, whilst waiting for therapy or as a stand alone. A big problem with implementation of E-health in clinical practice is non adherence. Non-clinical guidance could make a difference as compared to the non guidance modus. Our research question is: what factors contribute to the potential of non-clinical guidance in overcoming non adherence for e-mental Health for patients with depressive, anxiety and stress symptoms? Methods We did a qualitative study in a Dutch general practice. The treatment consisted of several modules accompanied by non-clinical guidance by a healthcare assistant. Out of 190 invited patients, 31 patients participated. Eight weeks after being invited, 11 semi-structured interviews were conducted until data saturation. Thematic analysis was used with open, axial and selective coding. Results Three major themes emerged: 1) The patients were satisfied with the non-clinical guidance in almost all aspects: Negative comments arose from an urge for more contact or tailoring. 2) The form of the guidance (e.g. non-clinical; used interface) was subordinate to the amount and tailoring of it. 3) Adherence could further be improved through a more personal introduction, explaining the benefits of certain exercises and more time management. Conclusions The potential of non-clinical guidance in overcoming non adherence for e-mental Health can be improved by further tailoring and increasing the interactivity when needed. Further research is also needed, after the suggested improvements, whether the intervention is effective, compared to a therapist guided and a non guided version. This study needs to be repeated in other clinical settings. Key messages • Non-clinical guidance, alongside e-mental health has potential to help with non adherence, thereby decreasing the burden of waiting lists. • Non-clinical guidance was positively received by patients who received e-mental health, although further tailoring could make online treatment even a larger success.

Papilla Access Tunnel Combined With the Laterally Closed Tunnel: A Technique for Treatment of Deep Gingival Recession in the Anterior Mandible.

Treatment of gingival recession in the anterior mandible is more complex due to unique anatomic features including excessive tension due to frenal and muscle attachments, thin tissue, shallow vestibule, and narrow interdental space. These features are particularly limiting in the presence of deep recession and negatively impact the success most routine soft tissue grafting procedures. The recently proposed laterally closed tunnel combined the benefit of tension management from tunneling rather than incising papillae with lateral closure of deep recession to minimize the need for coronal advancement. This is an effective, although technically demanding procedure. This report presents a method of facilitating tunnel preparation by utilizing superficial papillary access incisions bilaterally in the papilla between the lateral incisor and canine. This papilla has the least tension and most robust interdental volume and blood supply. This incision creates a mini flap that facilitates tunnel dissection and graft placement. Because the mini flap is used for graft insertion, the suturing for lateral closure can be performed before graft insertion. The result is reduced technical difficulty.

The LTAR Croplands Common Experiment at the Gulf Atlantic Coastal Plain.

The Gulf Atlantic Coastal Plain (GACP) Long-Term Agroecosystem Research (LTAR) Network site is characterized by hot and humid summers with low gradient stream channels surrounded by wetland forests and croplands. Beneath its sandy soils, a confining layer stifles recharge to the deeper aquifer system, so a substantial proportion of streamflow is driven by shallow subsurface baseflow. Agricultural practices in the area consist of forage and livestock production, forestry, and rotational cropping systems dominated by cotton (Gossypium hirsutum) and peanut (Arachis hypogaea). Certain factors impose challenges to the viability of GACP agricultural systems, like changing economics and demographics, as well as pest and disease pressures. The GACP communicates with stakeholders from various backgrounds, who provide their perspectives as agricultural research service scientists execute their research plans. The GACP LTAR common experiment (CE) is carried out via plot- and field-scale studies. The plot-scale CE compares prevailing practices, determined from regional data, with an alternative treatment including winter covers, such as the biofuel feedstock carinata (Brassica carinata, A. Braun), to provide both economic and environmental benefits. The field-scale CE is observational; key variables are monitored for two farms where management practices largely emulate the prevailing treatment. Data collection efforts quantify vegetation, hydrology, soils, and climate data to produce datasets for modeling and statistical analysis. Research teams quantify relationships between land management, environment, and socioeconomic benefits. Ultimately, the GACP LTAR site works to facilitate agricultural system health and wellbeing at local, regional, and national scales by providing long-term science-based solutions.

Leveraging Knowledge Management for Business Success: The Influence of Dynamic Capabilities and Entrepreneurial Competence, Moderated by Government Policy

This study examines the impact of knowledge management on business performance, mediated by dynamic capabilities and entrepreneurial competence, and moderated by government policy. A survey of 156 small and medium-sized enterprises (SMEs) in the Riau Coastal Food sector was conducted, and data were analyzed using Structural Equation Modeling (SEM). The findings reveal that knowledge management positively influences business performance, with dynamic capabilities and entrepreneurial competence acting as key mediators. However, government policy does not significantly moderate this relationship. The study highlights the importance of internal organizational capabilities in enhancing SME performance, suggesting that firms must focus on dynamic capabilities and entrepreneurial competence to maximize the benefits of knowledge management.

Design and Development of a Wearable Device for Multi-Parametric Human Health Monitoring

INTRODUCTION: Wearable technology has emerged as a promising tool for continuous health monitoring, offering potential disease prevention and management benefits. However, existing devices often provide limited physiological data, hindering comprehensive health assessments.OBJECTIVES: This study aims to design and develop a wearable device capable of multi-parametric human health monitoring, focusing on vital indicators such as heart rate, body temperature, and physical activity.METHODS: A modular design approach was employed to integrate multiple biosensors into a compact wearable device. The collected data was processed by a microcontroller and transmitted wirelessly to a server.RESULTS: The developed wearable device demonstrated accurate and reliable measurement of target health parameters, with results comparable to existing prototypes in terms of functional capabilities.CONCLUSION: The proposed wearable device holds significant potential for enhancing personal health management by providing comprehensive and real-time health data. Future research will focus on expanding the device's capabilities, improving battery life, and conducting long-term user trials.

Policy innovation and the sustainable quality management 4.0 framework for integrating sustainable services

Over the past twenty years, service organizations have adopted total quality management to enhance their service quality, significantly impacting business performance, customer satisfaction, and profitability. This study delves into policy development of sustainable quality management theory, benefits, and various service components, while reviewing its implementation in services industries and policy innovation. The concept of Sustainable Quality Management 4.0 (SQM 4.0) integrates sustainable management, traditional quality management, and Quality 4.0 principles to optimize resources, reduce environmental impacts, and enhance decision-making through Industry 4.0, IoT, AI, and big data analytics. The findings offer valuable framework and policy insights for managers and practitioners on quality management and service systems, providing an implementation framework for Sustainable Quality Management in the service sector. The paper outlines comprehensive elements and strategies for implementation as a SQM framework for attaining sustainable quality management in the services industry.

The Budget Management Supported by the Government Sector to Systemic Private Schools, Nakhon Ratchasima Province

Background and Aims: Budgetary management of educational institutions focuses on management independence. This makes it flexible, transparent, and auditable. By adhering to management principles that focus on achievement and operating results. Budget management in this way also places importance on profiting from the educational institution's assets. Including generating income from various services to support efficient management and maximum educational benefits. This results in better quality for learners. The objective of this research is to study and compare the level of opinions of personnel towards budget management supported by the government sector of private schools in the system, Nakhon Ratchasima Province. Classified according to position and duty education level and experience in budget operations In addition, the objective is to study guidelines for managing budgets supported by the government sector of private schools in Nakhon Ratchasima Province. Methodology: The sample group used in the research was personnel from private schools in the system. In Nakhon Ratchasima Province, a total of 354 people, were obtained by stratified random sampling. The research instrument consisted of a questionnaire using a 5-level rating scale, with an IOC value between 0.80 - 1.00 and a confidence value equal to 0.72. In addition, a structured interview was used. To collect additional information data analysis uses a variety of statistics including: Finding frequency, percentage, mean, standard deviation, t-test, F-test, and testing differences between groups using Scheffe's method. (Scheffé's Method) to compare data in cases where there are many groups. Results: The results of the research found that (1) budget management supported by the government sector of private schools in the system of Nakhon Ratchasima Province Overall is at a high level. When considering each area, it was found that budget management in all areas was at a high level. (2) Results of comparative analysis of budget management supported by the government sector of private schools in the system, Nakhon Ratchasima Province. Classified by position and experience in budget work. Found that there was no difference but when classified according to educational level, it was found that there was a statistically significant difference at the .05 level. (3) Guidelines for managing budgets supported by the government sector of private schools in the system, Nakhon Ratchasima Province found that educational institutions have effective ways to organize and manage budgets. Emphasis is placed on budget allocation that takes into account output and cost of output. There is a procurement system that is orderly, concise, transparent, and can be audited. Moreover, complete accounting documents are used. And there is a continuous internal audit. To manage the budget according to the principles of good management. Conclusion: The research results found that Budget management in private schools in Nakhon Ratchasima Province has been significantly improved thanks to government support which helps to enhance excellence in every aspect. It also emphasizes the importance of consistent policy and strict adherence to procedures in budget allocation. Focusing on work efficiency and responsibility in using resources in a worthwhile and effective manner.

Literature Review: Data Management, Data Analytics, and Business Intelligence for Organization

This study was conducted to examine the functions of data management, data analytics, and business intelligence across various organizational sectors. A literature review was performed to gain a broader understanding of the topic, utilizing research backgrounds from different countries, with ten studies selected for review from multiple sources. The results indicate that efficient data management, combined with robust analytical capabilities and business intelligence tools, is crucial for modern organizations seeking to achieve operational excellence and strategic growth. By implementing the appropriate measures, organizations can maximize the benefits of data management, data analytics, and business intelligence in attaining their strategic objectives.

Fertigungsprozessanalyse eines mittels Innenhochdruck-Umformung hergestellten Bauteils

Abstract Series manufacturers in the field of hydroforming do not always have the necessary database for predictive maintenance, especially for the production of complex hydroformed components. Small and medium-sized companies in particular often lack the resources to acquire, process and profitably utilize these data sets under production conditions. The IHU processes that occur in practice are usually highly complex, both in terms of geometry and against the background of additional process steps (punching, plunging). This results in large amounts of data and complex data analyses, which are reflected in the data processing costs. A data analysis is to be carried out on the basis of a complex hydroforming process and its additional benefit for quality management and predictive maintenance is to be explained.

Predicting biohydrogen production from dark fermentation of organic waste biomass using multilayer perceptron artificial neural network (MLP–ANN)

The focus on sustainable energy has increased interest in biohydrogen production through dark fermentation of organic waste biomass, offering dual benefits of energy production and waste management. Optimizing this process is challenging due to complex interactions among substrate composition, microbial consortia, and fermentation parameters. A multilayer perceptron artificial neural network model was developed to predict biohydrogen yield from organic waste. The model, trained on 180 data points from 35 studies, uses inputs, such as substrate type, inoculum type, concentration, pH, and temperature, with hydrogen yield as the output. The multilayer perceptron artificial neural network model achieved high accuracy, with a root mean square error of 0.3838, a mean absolute percentage error of 0.1938, and a coefficient of determination of 0.8381. These results demonstrate the model's effectiveness in predicting biohydrogen production, providing a valuable tool for optimizing the fermentation process and advancing sustainable energy solutions.

Revolutionizing Pharmacy Benefit Management: Cost-Reduction through Artificial Intelligence and Data Analytics in Healthcare

Pharmacy Benefit Managers (PBMs) are third party companies that function as intermediaries between insurance providers and pharmaceutical manufacturers. PBMs create formularies, negotiate rebates (discounts paid by a drug manufacturer to a PBM) with manufacturers, process claims, create pharmacy networks, review drug utilization, and occasionally manage mail-order specialty pharmacies. [1] Pharmacy benefit management (PBM) is important for keeping prescription drug costs under control. But the problem is that drug prices keep going up, which makes things tough for the healthcare industry. In this article, we look at how fancy technology like artificial intelligence (AI) and data analysis can help PBM find new ways to save money. By using advanced technology to study a large amount of information, PBMs can find patterns and make educated guesses about how to best use medications. Artificial intelligence makes this even more advanced by helping to quickly find and stop fraud, personalize medication plans, and predict costs more accurately. Remember this: AI and data analytics are being used to make pharmacy benefit programs work better. This helps save money and makes things better for patients. We look at how machine learning models can predict patient adherence, how natural language processing (NLP) can improve medication reviews, and how blockchain technology can keep supply chains transparent and secure. Real-world examples show how these technologies are already making a difference, such as cutting down on administrative work, reducing drug waste, and getting the most out of drug utilization. As more healthcare systems start using these advanced tools, it’s becoming clear that continual innovation and the inclusion of AI and data-driven methods are essential. This article highlights the importance of staying updated with the ever-changing ways of controlling prescription drug expenses by using new technology. For pharmacy benefit managers (PBMs) focused on offering the best value and working effectively despite increasing healthcare costs, adopting these advancements is not just a good choice, it's necessary.

The effect of exercise training in people with pre-dialysis chronic kidney disease: a systematic review with meta-analysis.

Chronic kidney disease (CKD) is a global health issue with high mortality and economic costs. Exercise has potential benefits for pre-dialysis CKD management. This review examines the impact of exercise on CKD patients not on dialysis, focusing on improvement in various health parameters. Findings aim to inform the role of exercise in pre-dialysis CKD care. A systematic search of MEDLINE, EMBASE, the Cochrane Library of Controlled Trials, CINAHL, and SPORTDiscus, up to August 31, 2023, used key terms relating to pre-dialysis CKD and exercise. We pooled randomized controlled trials (RCTs) comparing exercise with usual care and conducted meta-analyses based on a random effects inverse variance model with the effect measure of mean difference. Of 1162 identified studies, 37 RCTs met the inclusion criteria including 1248 participants. Significant improvements were identified for peak VO2, mean difference [MD] (2.66mL/kg/min; 95% confidence interval [CI] 1.48, 3.83; p < 0.00001); the 6-min walk (MD 58.83m; 95% CI 35.26, 82.41; p < 0.00001), timed up and go (standardised mean difference -0.35; 95% CI -0.54, -0.15; p = 0.0006), 2-min step (MD 57.48 steps; 95% CI 27.80, 87.16; p = 0.0001), and sit to stand tests (MD 4.55 repetitions; 95% CI 1.49, 7.60; p = 0.004); short form [SF]-36 general health (MD 4.26; 95% CI 0.04, 8.47; p = 0.05); SF-36 mental component summary (MD 1.84; 95% CI 0.18, 3.51; p = 0.03); estimated glomerular filtration rate (MD 2.19mL/min/1.73 m2; 95% CI 0.97, 3.50; p = 0.001); serum cystatin-C (MD -0.06mg/L; 95% CI -0.11, -0.02; p = 0.004); resting heart rate (MD -1.97 bpm; 95% CI -3.84, -0.11; p = 0.04); triglycerides (MD -12.97mg/dL; 95% CI -17.30, -8.63; p < 0.00001); glycosylated haemoglobin (MD -0.25%; 95% CI -0.50, -0.01; p = 0.04); waist circumference (MD -3.12cm; 95% CI -4.37, -1.86; p < 0.00001); and interleukin-6 (MD -2.24pg/mL; 95% CI -3.87. -0.61; p = 0.007). Analysis revealed improvements in aerobic capacity, functional ability, quality of life, estimated glomerular filtration rate, serum cystatin-C, resting heart rate, waist circumference, triglyceride, glycosylated haemoglobin, and interleukin-6 levels.

The potential benefits of extra screening for glycated haemoglobin, total cholesterol and low-density lipoprotein cholesterol on donor health management and retention.

An extra health screening, including glycated haemoglobin (HbA1c), total cholesterol (TC) and low-density lipoprotein cholesterol (LDL-C), was initiated for regular donors aged over 40 in Taiwan in November 2015. This study aimed to determine its benefits on donor health management and retention. A stratified random mail survey was conducted among donors who received HbA1c, TC and LDL-C screening between November 2015 and June 2017 to investigate their awareness of the screening, medical histories and post-screening behaviours. Their subsequent screening results and donation records from 3 years before and after the initial screening were obtained up to December 2021. In total, 2070 donors participated in the mail survey, with participation rates ranging 15.7%-23.2% across study groups. The screening newly detected hyperglycaemia in 1.6% (95% confidence interval [CI]: 1.2%-2.0%) and hyperlipidaemia in 1.0% (95% CI: 0.7%-1.4%) of participants, with 42.7% (95% CI: 40.3%-45.2%) of participants unaware of the screening. Participants with initially abnormal or borderline TC or LDL-C results showed significant decreases in the subsequent screening (all p values<0.05). No difference was found in participants' awareness of the screening. However, those who sought medical consultation or made specific lifestyle changes tended to show greater improvements. Awareness of the screening was associated with increased whole blood donations and donated units. The extra health screening has limited benefits for donor health management without additional interventions, but it may motivate donors to donate more frequently. Raising donors' awareness of the screening is also crucial to maximize its benefits.

Scutellarin alleviated ulcerative colitis through gut microbiota-mediated cAMP/PKA/NF-κB pathway

PurposeUlcerative colitis (UC) is a chronic, non-specific inflammatory condition of the colon, characterized by recurrent episodes and a notable lack of effective pharmacological treatments. Scutellarin, a natural component, exhibits appreciable pharmacological effects and therapeutic potential for various diseases. However, its effects on UC are not fully understood, and the precise mechanisms remain to be deciphered. This study aimed to assess the therapeutic efficacy of scutellarin and elucidate its underlying mechanisms in treating UC. MethodsThis study utilized dextran sulfate sodium (DSS)-induced mice to evaluate the therapeutic potential of scutellarin against UC and to elucidate the mechanisms involving the gut microbiota. An antibiotics cocktail (ABX) and fecal microbiota transplantation (FMT) were also used to determine the mechanistic role of the gut microbiota. An integrative approach combining fecal metabolomics and network pharmacology analysis was used to explore the gut microbiota-directed molecular mechanism. ResultsThe results showed that scutellarin provided various therapeutic benefits in UC management, including alleviating weight loss, slowing disease progression, and reducing inflammatory damage in colon structures. The improved gut microbiota after scutellarin administration contributed to these effects. Fecal metabolome revealed that scutellarin selectively mitigated DSS-induced dysregulation of gut microbiota-derived metabolites, including glycolic acid, γ-aminobutyric acid, glutamate, tryptophan, xanthine, and β-hydroxypyruvate. Network pharmacology analysis, along with in vivo experimental verification, implicated the cAMP/PKA/NF-κB pathway in the action of these metabolites in treating UC, which may be the mechanism responsible for scutellarin's curative effects on UC. ConclusionThis study demonstrates the potential of scutellarin in alleviating UC by activating the cAMP/PKA/NF-κB pathway through gut microbiota-derived metabolites, highlighting scutellarin as a promising therapeutic agent for UC.

A Situational Analysis of Attitudes toward Stray Cats and Preferences and Priorities for Their Management.

Current cat management approaches are outdated and ineffective, failing to reduce stray cat numbers or related complaints and negatively impacting the job satisfaction and mental health of veterinary, shelter, and municipal staff. We undertook a situational analysis prior to implementing a Community Cat Program based on free sterilization of owned, semi-owned, and unowned cats in the city of Ipswich, Queensland, Australia. The study involved 343 residents in three suburbs in Ipswich, Queensland, Australia with high per capita intake of cats into the receiving shelter and municipal pound. We investigated the prevalence and impacts of free-roaming cats in urban areas, focusing on sightings, associated issues, and community preferences for cat management. Stray cats were observed by many respondents (71%), primarily at private residences (52%) and in alleyways or streets (22%), which caused serious or moderately serious problems for 38% of those who saw stray or wandering cats. Key concerns included the killing of native birds (38%) and animals (35%), noise (33%), and soiling (32%). Actions taken by respondents who saw stray or wandering cats included chasing them away or using deterrents (25%), capturing the cat for removal or calling council (18%) and preventing home entry (14%). Respondents' priorities for the local government management of cats included preventing kittens from being born (94% of respondents) and stopping cats from preying on native animals (91%); reducing disease spread to pets (89%), wildlife (89%), and humans (87%); decreasing stray cat numbers (75%); and preventing cat fights (70%). Respondents favored sterilization (65%) over euthanasia (35%), aligning with the results of previous research. Cat ownership and feeding unowned cats were predictors of management preferences. Only 29% of respondents were satisfied with the current local council management of the problem. Information on the benefits of management by sterilization could further enhance community support.

Self‐supervised vessel trajectory segmentation via learning spatio‐temporal semantics

AbstractThe study of vessel trajectories (VTs) holds significant benefits for marine route management and resource development. VT segmentation serves as a foundation for extracting vessel motion primitives and enables analysis of vessel manoeuvring habits and behavioural intentions. However, existing methods relying on predefined behaviour patterns face high labelling costs, which hinder accurate pattern recognition. This paper proposes a self‐supervised vessel trajectory segmentation method (SS‐VTS), which segments VTs based on their inherent spatio‐temporal semantics. SS‐VTS adaptively divides VTs into cells of optimal size. Then, it extracts split points on different semantic levels from the multi‐dimensional feature sequence of the VTs using self‐supervised learning. Finally, spatio‐temporal distance fusion module is performed on split points to determine change points and obtain VT segments with multiple semantics. Experiments on a real automatic identification system datasets show that SS‐VTS achieves state‐of‐the‐art segmentation results compared to seven baseline methods.

Evaluation of transplant drench and foliar insecticide applications for wireworm (Coleoptera: Elateridae) management in sweetpotato.

The revocation of chlorpyrifos tolerances in 2022 left sweetpotato growers without their most important tool to combat a complex of soil-borne root pests that includes wireworms (Coleoptera: Elateridae). Since then, growers have reported increased root damage despite a rapid pivot to pyrethroid-based management systems to replace mechanically incorporated preplant chlorpyrifos broadcast sprays. Our goal was to evaluate the efficacy of alternative insecticide chemistries and application methods to expand the portfolio of management options for wireworms, specifically Conoderus spp. and Melanotus communis (Gyllenhal). We tested (i) insecticidal transplant water drenches and (ii) a foliar spray program targeting adult elaterids. We found that incorporating insecticides into transplant water reduced wireworm damage when compared to untreated transplant water. Our treatments included a recently registered meta-diamide, broflanilide, which represents a promising path to diversify active ingredients and shift away from an overreliance on preplant and post-directed pyrethroid soil sprays. Foliar spray plots had less damage than plots that did not receive foliar sprays. One benefit of adult-focused management is the availability of effective monitoring tools such as sex pheromones and blacklight trapping. Developing a robust adult monitoring program would enable more precise applications of foliar insecticides versus season-long prophylactic soil sprays targeting larvae. Our results demonstrated a significant benefit to both alternative delivery methods. These management alternatives could expand treatment options beyond traditional preplant and post-directed pyrethroid sprays.