Resource Contention Research Articles

An interpretative qualitative case study of a Compassionate Cities initiative in the United Kingdom: Lessons for implementation in other settings.

Compassionate Cities are a novel approach to health-promotive palliative care that uses a population-based approach to promote health and encourage its citizens to act with confidence to help others during death, dying, or bereavement. This study aimed to provide a critical account of how the leaders of a Compassionate City adopted the initiative and how they experienced its development and implementation. An interpretative qualitative case study was conducted in a newly established Compassionate City in the UK. Data was collected using in-depth interviews, documentary analysis, and non-participatory observations. Reflective thematic analysis was used to analyze the contents of the multiple resources. Five observations, 4 document analyses, and 11 interviews with members of the Compassionate City steering committee were conducted. We identified 4 themes: right model, right people, in the right place, at the right time; building a network of organizations and individuals; building sustainable community capacity to deal with grief, loss, and bereavement; and, embedding and sustaining the Compassionate City initiative. The study also found that cross-cutting factors such as leadership, visibility of work, evaluation, communication, and funding influenced and shaped the key themes when developing and implementing the Compassionate City. This study provides broad insight into the key actions taken by the leaders of a Compassionate City aiming to improve the end-of-life experience of its citizens. We highlight the many challenges and complexities faced by the leaders when translating the concepts of Compassionate Cities into practice and identify key elements to consider for the successful implementation of future initiatives.

Holistic model for business resource and effective social media contents on MSME’S marketing

Business in the 21st century cannot function without social media marketing. The literature n social media marketing, however, is still fragmented and mostly concerned with isolated issues like communication techniques. To describe what constitutes a successful social media marketing strategy, this research uses a qualitative, theory-building technique to develop a conceptual framework. The spectrum of conservatives and progressives, of hierarchies and networks, of total authority and full anarchy may all be found in the realm of social media marketing. This research provides a holistic framework for understanding strategic social media marketing, expanding beyond the confines of conventional marketing theory. The framework also enables business leaders to position their organizations along these four dimensions in a manner that serves their long-term objectives.

Building bridges and the chance to do better tomorrow: global resource sharing moving forward

Purpose The purpose of this paper is to disseminate the American Library Association (ALA) Reference and User Services Association (RUSA) Sharing and Transforming Access to Resources Section (STARS) international interlibrary loan (ILL) Committee 2023 international ILL survey results and findings. The survey evaluates current international resource sharing operations, identifies trends and challenges and recommends promoting services within the global library community. Design/methodology/approach The survey used the Qualtrics platform and included multiple-choice and open-ended questions. The survey questionnaire was built upon the 2019 and 2015 instruments to facilitate longitudinal data analysis and comparison. The committee added new questions related to the COVID-19 pandemic and controlled digital lending (CDL). The survey was distributed to libraries worldwide via multiple channels, in all seven official International Federation of Library Associations and Institutions (IFLA) languages. Qualitative comparative analysis methodology was applied to analyze the survey results. Findings The survey results reveal the challenges and opportunities to engage in international ILL activities. The importance of sharing electronic resource content continues to grow as library collections shift from print to electronic resources. Originality/value The 2023 international ILL survey is the first offered in all seven official IFLA languages and included questions on the topics of COVID-19 and CDL. It contributes to the literature by providing global trends and perspectives on current international resource sharing practices, challenges and opportunities facing the global resource sharing community and recommendations on building bridges to do better in the future.

The Readability, Understandability, and Suitability of Online Resources for Ostomy Care.

the purpose of this study was to evaluate the content, readability, understandability, and suitability of online resources for patient specific ostomy care. Retrospective cohort study. Online websites for ostomy care designed for patients. Ostomy care websites designed for patients were identified by querying three online search engines. Content areas were established following assessment of all websites by two reviewers. Readability of each website was determined using the Flesch Reading Ease Test and the Simple Measure of Gobbledygook (SMOG) index. Understandability was measured using the Patient Education Materials Assessment Tool (PEMAT), and suitability was determined using the Suitability Assessment of Materials (SAM). Chi-Square and rank sum tests were used to compare these measures across website type and by number of content areas. Twenty-three websites met inclusion criteria; 26.1% were for-profit, 13% were government, 26.1% were academic, and 34.8% were non-profit. Nineteen content areas were identified including themes related to pouching, bathing, physical activity, managing output, lifestyle, mental health, and eating. The median number of content areas covered was 8.5 [interquartile range (IQR) 4-13]. The most common content areas were changing/emptying a pouching system (82.6% of websites), preventing/managing peristomal skin irritation (78.3%), eating (60.9%), and odor management (60.9%). Less than 27% of websites had content on irrigation, blockage/constipation, and body image. Readability scores using the Flesch Reading Ease (mean 58, IQR 54.7-69.5) and SMOG Index (mean 9.1, IQR 7.6-9.9) correlated to a high-school or "fairly difficult" reading level. The mean PEMAT measuring understandability was 80 (IQR 78.9-84.0). The mean SAM score checking for suitability (literacy demand, graphics, layout and type, learning stimulation and motivation and cultural appropriateness) was 55% (IQR 48.4%-61.3%), indicating "adequate material." A greater number of content areas on the websites were associated with worse readability (SMOG and Flesch Reading Ease scores) than websites presenting fewer content areas (P =.001 & P <.001, respectively). We found significant variability in the content, readability, understandability, and suitability of online materials for ostomy care. Websites with more content areas were associated with worse readability.

Identification and Mining of Functional Components of Polyphenols in Fruits of Malus Germplasm Resources Based on Multivariate Analysis.

Polyphenols are important functional components that have anti-cancer and anti-inflammatory effects. Apple fruit is rich in polyphenols and is one of the dietary sources of polyphenols. The polyphenol components and contents of the peel and pulp of 74 Malus sieversii (Led.) Roem. and 26 Chinese Malus germplasm resources were determined using ultra-high-phase chromatography (UPLC) and liquid chromatography-mass spectrometry (LC-MS). The results showed that 34 components were detected in the peel and 30 in the flesh, and that the polyphenol components and contents of the different germplasm resources were significantly different; the polyphenol content of Malus sieversii (Led.) Roem. was significantly higher than that of the other local varieties, and the polyphenol content in the peel was also higher than that in the flesh. Rutin, quercetin 3-O-arabopyranoside, kaempferol 3-O-rutinoside, and peonidin 3-O-galactoside were detected only in the peel. The total polyphenol content in the peel ranged from 949.76 to 5840.06 mg/kg, and the polyphenol content in the pulp ranged from 367.31 to 5123.10 mg/kg. The cluster analysis of polyphenol components and contents in peel and pulp showed that 100 Malus germplasm resources could be grouped into four categories. Principal component analysis of 34 kinds and 30 kinds of polyphenols in peel and pulp of 100 resources was performed. If the eigenvalue is greater than 1, eight and seven principal components are extracted, respectively. Five Malus resources with high polyphenol content in the peel and pulp were selected: 'XY-77' (peel: 5840.06 mg/kg, pulp: 5123.10 mg/kg; 'LF-09' (peel: 4692.63 mg/kg, pulp: 3729.79 mg/kg); '2012-5' (peel: 4377.61 mg/kg, pulp: 3847.54 mg/kg); '29028' (peel: 5088.05 mg/kg, pulp: 3994.61 mg/kg); and '11-01' (peel: 5154.45 mg/kg, pulp: 3616.15 mg/kg). These results provide us with information regarding the polyphenol composition and content of the wild apple resources and local cultivars. The high polyphenol content resources obtained by screening can be used as raw materials for the extraction of polyphenol components and functional fruit juice processing and can also be used as parents for functional fruit creation and variety breeding.

On Optimizing Resources for Real‐Time End‐to‐End Machine Learning in Heterogeneous Edges

ABSTRACTDeploying end‐to‐end ML applications on edge resources becomes a viable solution to achieve performance and data regulations. With the microservice architecture, these applications can scale dynamically, improving service availability under dynamic workloads. However, orchestrating multiple end‐to‐end ML applications within heterogeneous edge environments must deal with numerous challenges while sharing computing resources. Prevalent orchestration tools/frameworks supporting edge ML serving are inefficient in provisioning methods due to constrained resources, diverse resource demands and utilization patterns. In this work, we present a provisioning method to optimize resource utilization for end‐to‐end ML applications on a heterogeneous edge. By profiling all microservices within the application, we estimate scales and allocate them on desired hardware platforms with sufficient resources when considering their runtime utilization patterns. We also provide several practical analyses on runtime monitoring metrics to detect and mitigate resource contentions, guaranteeing performance. The experiments with three real‐world ML applications demonstrate the practicality of our method on a heterogeneous edge cluster of Raspberry Pis and Jetson Developer Kits.

Formation of a Unified Educational Space of the Union State from the Perspective of the Policy of Patriotic Education

Introduction. Awareness of the commonality of geopolitical and civilizational challenges of the Russian Federation and the Republic of Belarus pushes for deepening integration cooperation in different directions. Close attention is paid to the problem of security, interpreted in an expanded way. Its provision correlates with the strengthening of the humanitarian dimension of the Union State, including the formation of a unified educational space. In modern conditions, its correlation with the consolidation of the policy of patriotic education in the integration field is being actualized. The purpose of the article is to identify the specifics of their coupling, taking into account the dynamics of union construction. Materials and Methods. The research is based on the methods of binary comparison, traditional and discourse analysis of official texts. An additional method is a formalized correspondence expert survey. The key materials are normative legal acts of the Russian Federation and the Republic of Belarus, interstate, intergovernmental and integration agreements, information content of the web resources of the Union State. The theoretical and methodological foundations of the research are a new political institutionalism, a multidimensional model of social action, and the paradigm of “political unification”. Results. The article describes the normative foundations of state policy in the field of education and integration guidelines in the cultural and humanitarian plane within the framework of the movement towards the Union educational space. The demanded categories of the axiological plan are revealed, referring to the relationship between education and upbringing. The key lines of discursive practices at the sites of the union institutions are shown. The understanding of the need to adapt education systems to the requirements of the time and the linking of patriotic education with the protection and preservation of common historical memory are emphasized. Discussion and Conclusion. The results of the study and expert assessments suggest the articulation of not only positive changes, but also urgent vectors for improving national approaches and integration solutions. They correspond to the elimination of conflicts, the development and adoption of new documents at the level of the Union State, the implementation of value categories and new areas of unified policy. The results obtained may be of interest to public authorities and union institutions, participants in patriotic education in the territory of the Union State.

Современные угрозы и обоснование изменений в регулировании экономической безопасности региона

The article considers the main approaches of the theory of economic security. The concepts of "ensuring economic security", "managing economic security", "regulating the economic security of the region" are studied. The impacts affecting the adaptive readiness of the regional economic security complex, reflected in the concepts of "threat", "risk", "factor", "challenge" are noted. The expediency of a multi-vector approach to the organization of regulatory impacts of state and municipal government bodies aimed at ensuring the economic security of the country's regions in the context of overcoming modern threats is determined. A thesis is formulated about the place of regulation of regional economic security as an integral link between the systemic federal level of national security and heterogeneous regions of the country. Using the example of Perm Krai, the dynamics of the main indicators of regional economic security and their relationship with similar indicators of the Volga Federal District and the Russian Federation are considered, and an assessment of existing trends is carried out. The analysis of the elaboration of regulatory and legal documents of the Perm Territory using the extrapolation method of processing official statistics information has established the insufficiency of the measures taken to improve strategic planning in the region in the context of taking into account changing factors and conditions of the external environment. Significant deviations of the achieved results in ensuring the economic security of the Perm Territory from the forecast values approved by the strategic planning documents have been revealed, in particular in achieving the planned indicators in the areas of industrial and environmental safety of the region. It is proposed to revise the content of regulatory documents with the corresponding budget and resource content for the timely adaptation of the region to modern threats and challenges. It is recommended to pay special attention to such areas of economic security of the Perm Territory as: technological sovereignty, investment security and environmental protection.

Assessing the Quality, Content, and Readability of Online Patient Resources on Viscosupplementation

Assessing the Quality, Content, and Readability of Online Patient Resources on Viscosupplementation

Improving Cloud Database Performance Using Storage Technologies

Cloud databases have become indispensable for modern applications due to their scalability, flexibility, and cost-effectiveness. However, optimizing performance in cloud environments can be challenging due to factors such as network latency, data distribution, and resource contention. This paper explores various storage technologies and techniques that can significantly enhance cloud database performance. We delve into the characteristics of different storage types, including solid-state drives (SSDs), hard disk drives (HDDs), and object storage, and discuss their suitability for various workloads. Additionally, we examine caching mechanisms, data compression, and deduplication strategies that can optimize data access and reduce storage costs. Furthermore, we explore the impact of database architecture choices, such as distributed databases and inmemory databases, on performance. We also discuss the importance of effective query optimization and indexing techniques. By understanding and implementing these storage technologies and techniques, organizations can achieve substantial improvements in cloud database performance, leading to better user experiences and increased application efficiency

The technology of organizing methodical online support during the fundamental training of future physics teachers at a pedagogical university

The article substantiates the didactic expediency of the technology of organizing methodical online support during the fundamental training of future physics teachers at a pedagogical university. The technology of organizing methodical online support during the fundamental training of future physics teachers at a pedagogical university is interpreted as a step-by-step process of creating an integrated environment of information and educational resources, software and technical and telecommunication tools, rules for their administration and use, which provide opportunities for interactive cooperation during training and independent work. The stages of the technology of organizing methodical online support during the fundamental training of future physics teachers at a pedagogical university are defined and characterized: preparatory-target, projective-motivational, activity-implementation and analytical-reflective stages. The preparatory-target stage guides the teacher to set a clear goal - to develop electronic resources (distance courses/online platforms/teacher's personal website) for learning educational components or their in-depth study, organization of project, research activities, finds out what he/she hopes to achieve with the help of such learning tools, the goal and the result are compared. The projective-motivational stage determines the design of the methods of presentation of the content of electronic resources, the number of pages, what should be displayed on the pages and in what way, what will motivate future physics teachers to study, which methods of presentation of educational material should be better used for motivational purposes, which materials will help students methodologically to learn the educational material better. The activity-implementation stage reflects the direct process of creating electronic resources: selection and testing of the functionality of software and technical tools, integration into the online platform (Google Sites, Google Classroom, etc.), video conferencing capabilities (Google Meet, Zoom, Skype, Instagram resources, etc.), use of possibilities of communication in chats and messengers. The analytical-reflective stage involves the implementation of a thorough analysis of the content and functionality of the developed electronic resources of methodical online support during the fundamental training of future physics teachers at a pedagogical university, as well as the evaluation of the learning results, achieved by the students, joint reflection of the teacher and students. It has been proven that the creation of a technology for the organization of methodical online support in the process of fundamental training of future physics teachers at a pedagogical university is an integration of personal-oriented and resource-oriented technology, which makes it possible for students to master the knowledge system, acquire practical skills, and form an information cultures during distance learning of educational components

E-CARGO-based dynamic weight offload strategy with resource contention mitigation for edge networks

With the widespread use of Mobile Edge Computing (MEC) in smart manufacturing systems in Industrial Internet of Things (IIoT) and 5G networks, determining how to efficiently offload computing tasks has become a hot research area. The Role-Based Collaboration (RBC) Environments-Classes, Agents, Roles, Groups, and Objects (E-CARGO) model is introduced to comprehensively manage MEC servers and user computation tasks in edge network environments, thereby improving the effectiveness and performance of task offloading in smart manufacturing systems. To begin with, latency and energy consumption are important indicators for evaluating the offloading effect. A pre-allocation algorithm based on user latency tolerance is proposed to dynamically adjust the latency-energy consumption weighting factor to optimize system resource allocation for real-time adjustment of offloading decisions. Second, the Group Role Assignment of Agent Role Conflicts (GRACAR) model based on E-CARGO is extended, along with a dynamic weighting of the GRACAR (GRACAR-DW) model and formal modeling. By introducing resource contention constraints, the resource contention caused by excessive task data offloading to the same MEC server is proactively mitigated. Finally, a Gurobi solution based on Mixed-Integer Linear Programming (MILP) is developed to help validate and synthesize the proposed model. Simulation results show that the strategy considerably enhances the MEC system's overall performance in terms of latency and energy consumption while also providing new ideas and technological support for offloading decisions in edge networks.

Ideas of Collaboration and Convergence in Education: to the Essence of Concepts

Artificial intelligence, distance and hybrid formats, Internet challenges that create the opportunity to search for original ideas in the educational space, actualize such resource contents as collaboration and convergence, which create opportunities for improving education as a complex phenomenon of challenges and opportunities, meanings and values in a changing world. The purpose of the article. To methodologically substantiate and theoretically develop a model of education based on the ideas of two innovative paradigms – collaboration and convergence, to reveal their essential resource characteristics in relation to the phenomenon of “education”. Methodology. The basis of the methodology of the model developed by us is the ideas of the scientific school of L. I. Novikova, N. L. Selivanova, P. V. Stepanov, T. A. Romm, M. V. Shakurova. The systemic and interdisciplinary approaches formed the basis for the selection of the content and types of educational activities in the organization and implementation of the educational process. “Collaboration” and “convergence” as pedagogical phenomena of the interdisciplinary approach constitute the methodological integral core of the model, which is characterized by organization, openness, internal activity, dynamism and integration, and promising cooperation. Results. The analysis of sources allowed us to reveal the essence of the concepts: “collaboration” and “convergence”. In the course of the study, we established two facts: on the one hand, collaboration and convergence are tools and mechanisms for improving the organization of education; on the other hand, the synthesis of ideas of collaboration and convergence – create conditions for the value and semantic space in improving and enriching the phenomenon of modern education. Conclusion. The author’s contribution consists in the theoretical and methodological substantiation and development of a model based on the ideas of collaboration and convergence in education, its essential characteristics are given. The presentation and meaning of the organization of the education process based on the ideas of convergence and collaboration are expanded, 10 characteristics are developed that combine these two phenomena in the education process for the effective achievement of the goal.

Realistic Cost to Execute Practical Quantum Circuits using Direct Clifford+T Lattice Surgery Compilation

We report a resource estimation pipeline that explicitly compiles quantum circuits expressed using the Clifford+T gate set into a surface code lattice surgery instruction set. The cadence of magic state requests from the compiled circuit enables the optimization of magic state distillation and storage requirements in a post-hoc analysis. To compile logical circuits into lattice surgery operations, we build upon the open-source Lattice Surgery Compiler. The revised compiler operates in two stages: the first translates logical gates into an abstract, layout-independent instruction set; the second compiles these into local lattice surgery instructions that are allocated to hardware tiles according to a specified resource layout. The second stage retains logical parallelism while avoiding resource contention in the fault-tolerant layer, aiding realism. Additionally, users can specify dedicated tiles at which magic states are replenished, enabling resource costs from the logical computation to be considered independently from magic state distillation and storage. We demonstrate the applicability of our pipeline to large, practical quantum circuits by providing resource estimates for the ground state estimation of molecules. We find that variable magic state consumption rates in real circuits can cause the resource costs of magic state storage to dominate unless production is varied to suit.

Building digital literacy through exploration and curation of emerging technologies

People readily consume an ever-growing range of emerging technologies while largely unaware of their lack of control over the impact that such networking, devices, data, and processes have on their lives. Since college-educated people are huge consumers of digital products and are expected to participate in networked learning, it is critical to foster student development of an expanded understanding of digital literacy. To address this challenge, we have created instructional materials for instructor and student use of the internationally known repository, “Fabric” of Digital Life (https://fabricofdigitallife.com/). This research comes as the result of collaboration between the University of Minnesota’s Emerging Technology Research Collaboratory (ETRC, https://etrc.umn.edu/), a research group for investigating emerging technologies, and Fabric of Digital Life (https://fabricofdigitallife.com/) and its affiliated Decimal Research Lab at Ontario Tech University. Together, functioning as a collaborative in support of networked learning, we invite and facilitate research on building student digital literacy through examination, contribution, and/or curation of collections regarding emerging technologies. From Spring 2019 to the present, 13 instructors and associated students across nine institutions have developed and are using a set of instructional materials for student exploration and/or curation of collections in this repository. This paper documents initial instructor discussion and study of student development of digital literacy as a result of use and/or curation of Fabric collections on emerging technologies and the discourses surrounding them. We are beginning to study the abilities that students draw upon when exploring the collections and when determining which artifacts might be included in current collections as well as new collections that might be developed. Collaborative interaction with the editorial team at Ontario Tech University not only enhanced the repository content and development of instructional resources, it also further evolved the metadata for Fabric for external users and the public. At its core, this research examines the potential development of digital literacy through the act of exploring and curating collections on emerging technologies. Critical to this core is the networked learning collaborative in place to foster and support this work.

Anatomizing Deep Learning Inference in Web Browsers

Web applications have increasingly adopted Deep Learning (DL) through in-browser inference , wherein DL inference performs directly within Web browsers. The actual performance of in-browser inference and its impacts on the quality of experience ( QoE ) remain unexplored, and urgently require new QoE measurements beyond traditional ones, e.g., mainly focusing on page load time. To bridge this gap, we make the first comprehensive performance measurement of in-browser inference to date. Our approach proposes new metrics to measure in-browser inference: responsiveness, smoothness, and inference accuracy. Our extensive analysis involves 9 representative DL models across Web browsers of 50 popular PC devices and 20 mobile devices. The results reveal that in-browser inference exhibits a substantial latency gap, averaging 16.9 times slower on CPU and 4.9 times slower on GPU compared to native inference on PC devices. The gap on mobile CPU and mobile GPU is 15.8 times and 7.8 times, respectively. Furthermore, we identify contributing factors to such latency gap, including underutilized hardware instruction sets, inherent overhead in the runtime environment, resource contention within the browser, and inefficiencies in software libraries and GPU abstractions. Additionally, in-browser inference imposes significant memory demands, at times exceeding 334.6 times the size of the DL models themselves, partly attributable to suboptimal memory management. We also observe that in-browser inference leads to a significant 67.2% increase in the time it takes for GUI components to render within Web browsers, significantly affecting the overall user QoE of Web applications reliant on this technology.

Developing an Educational Resource Aimed at Improving Adolescent Digital Health Literacy: Using Co-Design as Research Methodology.

Adolescence is a key developmental period that affects lifelong health and is impacted by adolescents regularly engaging with digital health information. Adolescents need digital health literacy (DHL) to effectively evaluate the quality and credibility of such information, and to navigate an increasingly complex digital health environment. Few educational resources exist to improve DHL, and few have involved adolescents during design. The co-design approach may hold utility through developing interventions with participants as design partners. This project aimed to explore the co-design approach in developing an educational resource to improve adolescents' DHL. Adolescents (12-17 years old) attended 4 interactive co-design workshops (June 2021-April 2022). Participant perspectives were gathered on DHL and the design of educational resources to improve it. Data generated were analyzed through content analysis to inform educational resource development. In total, 27 participants from diverse backgrounds attended the workshops. Insight was gained into participants' relationship with digital health information, including acceptance of its benefits and relevance, coupled with awareness of misinformation issues, revealing areas of DHL need. Participants provided suggestions for educational resource development that incorporated the most useful aspects of digital formats to develop skills across these domains. The following 4 themes were derived from participant perspectives: ease of access to digital health information, personal and social factors that impacted use, impacts of the plethora of digital information, and anonymity offered by digital sources. Initial participant evaluation of the developed educational resource was largely positive, including useful suggestions for improvement. Co-design elicited and translated authentic adolescent perspectives and design ideas into a functional educational resource. Insight into adolescents' DHL needs generated targeted educational resource content, with engaging formats, designs, and storylines. Co-design holds promise as an important and empowering tool for developing interventions to improve adolescents' DHL.

Exploiting web content semantic features to detect web robots from weblogs

Nowadays, web robots are predominantly used for auto-accessing web content, sharing almost one-third of the total web traffic and often posing threats to various web applications’ security, privacy, and performance. Detecting these robots is essential, and both online and offline methods are employed. One popular offline method is the use of weblog feature-based automated learning. However, this method alone cannot accurately identify web robots that continuously evolve and camouflage. Web content features combined with weblog features are used to detect such robots based on the assumption that human users exhibit specific interests while robots randomly navigate web pages. State-of-the-art web content-based feature methods lack the ability to generate coherent topics, which can confound the performance of classification models. Therefore, we propose a new content semantic feature extraction method that uses the LDA2Vec topic model, combining the strengths of LDA and the Word2Vec model to produce more semantically coherent topics by exploiting website content for a web session. To effectively detect web robots, web resource content semantic features are combined with log-based features in the proposed web robot detection approach. The proposed approach is evaluated in an e-commerce website access logs and content data. The F-score, balanced accuracy, G-mean, and Jaccard similarity are used for performance measures, and the coherence score metric is used to determine the number of topics for a session. Experimental results demonstrate that a combination of weblogs and content semantic features is effective in web robot detection.

Sodium-enriched nectar shapes plant-pollinator interactions in a subalpine meadow.

Many plants have evolved nutrient rewards to attract pollinators to flowers, but most research has focused on the sugar content of floral nectar resources. Concentrations of sodium in floral nectar (a micronutrient in low concentrations in nectar) can vary substantially both among and within co-occurring species. It is hypothesized that sodium concentrations in floral nectar might play an important and underappreciated role in plant-pollinator interactions, especially because many animals, including pollinators, are sodium limited in nature. Yet, the consequences of variation in sodium concentrations in floral nectar remain largely unexplored. Here, we investigate whether enriching floral nectar with sodium influences the composition, diversity, and frequency of plant-pollinator interactions. We experimentally enriched sodium concentrations in four plant species in a subalpine meadow in Colorado, USA. We found that flowers with sodium-enriched nectar received more visits from a greater diversity of pollinators throughout the season. Different pollinator species foraged more frequently on flowers enriched with sodium and showed evidence of other changes to foraging behavior, including greater dietary evenness. These findings are consistent with the "salty nectar hypothesis," providing evidence for the importance of sodium limitation in pollinators and suggesting that even small nectar constituents can shape plant-pollinator interactions.

Analysis and Mitigation of Shared Resource Contention on Heterogeneous Multicore: An Industrial Case Study

Analysis and Mitigation of Shared Resource Contention on Heterogeneous Multicore: An Industrial Case Study