Management Frames Research Articles

High precision accelerator for our hybrid model of the redshift space power spectrum

Abstract Upcoming Large Scale Structure surveys aim to achieve an unprecedented level of precision in measuring galaxy clustering. However, accurately modelling these statistics may require theoretical templates that go beyond two-loop order perturbation theory, especially for achieving precision at smaller scales. In our previous work, we introduced a hybrid model for the redshift space power spectrum of galaxies. This model combines two-loop order templates with N-body simulations to capture the influence of scale-independent parameters on the galaxy power spectrum. However, the impact of scale-dependent parameters was addressed by precomputing a set of input statistics derived from computationally expensive N-body simulations. As a result, exploring the scale-dependent parameter space was not feasible in this approach. To address this challenge, we present an accelerated methodology that utilizes Gaussian processes, a machine learning technique, to emulate these input statistics. Our emulators exhibit remarkable accuracy, achieving reliable results with just 13 N-body simulations for training. Our emulators can reproduce the set of statistics we are interested in with less than 0.1% error in the parameter space within 5σ of the Planck ΛCDM predictions, specifically for scales around k > 0.1 h Mpc−1. Following the training of our emulators, we can predict all inputs for our hybrid model in approximately 0.2 seconds at a specified redshift. Given that performing 13 N-body simulations is a manageable task, our present methodology enables us to construct efficient and highly accurate models of the galaxy power spectra within a manageable time frame.

Competencies for sustainable financial and economic management: Their impact on human capital development and national security

The relevance of the study is determined by the orientation of modern society towards the strategy of sustainable development. The advent of the era of “globalization through sustainable development” is accompanied by the strengthening of “old” threats and the emergence of “new” ones. According to the article, the sustainability viewpoint systemically links the social, economic, and environmental domains into a dynamic, long-term view, which is the fundamental contribution of the perspective to the examination of security challenges. It also signifies a paradigm change in how public administration functions when analyzing security risks at the state and federal levels. Competences for sustainable financial and economic management are considered in frames of sustainable public management, implying, in particular, positive impact on human capital and contributing to national security through ESG paradigm implementation.

(Sensor Division Early Career Award) Portable Diagnostics for Cancer Management at Printed Strips

Point-of-care testing (PoC) is revolutionizing the healthcare sector improving patient care in daily hospital practice and allowing reaching even remote areas. In the frame of cancer management, the design and validation of PoC enabling the non-invasive, rapid detection of cancer markers is urgently required to implement liquid biopsy. However, despite substantial advances in sensing technologies, the development, preparation, and use of self-testing devices is still confined to specialist laboratories and users. Decentralized analytical devices will enormously impact daily lives, enabling people to analyze diverse clinical, environmental, and food samples, evaluate them and make predictions to improve quality of life, particularly in remote, resource-scarce areas. In recent years, paper-based analytical tools have attracted a great deal of attention; the well-known properties of paper, such as abundance, affordability, lightness, and biodegradability, combined with features of printed electrochemical sensors, have enabled the development of sustainable devices that drive (bio)sensors beyond the state of the art. Their blindness toward colored/turbid matrices (i.e., blood, soil), their portability, and the capacity of paper to autonomously filter/purge/react with target species make such devices powerful in establishing point-of-need tools for use by non-specialists. Depending on analytical requisites, different types of paper (filter, office) and configurations (1D, 2D, 3D) can be adopted. Focusing on stable blood-based markers with high-specificity, such as miRNAs, is of crucial importance. A wide overview regarding application ranging from DNA to miRNA detection will be provided, with the aim in showing the potentialities of portable electrochemical biosensors for improving society involvement in monitoring circulating nucleic acids associated to diverse conditions, i.e. cancer, Alzheimer’s disease, HIV.

Bleach: From WiFi probe-request signatures to MAC association

Smartphones or similar WiFi-enabled devices regularly discover nearby access points by broadcasting management frames known as probe-requests. Probe-request frames relay, as information, the MAC addresses of sending devices, which act as the device identifiers. To protect the user’s privacy and location, probe-requests use a randomized MAC address generated according to the MAC address randomization protocol. Unfortunately, MAC randomization greatly limits any studies on trajectory inference, flow estimation, crowd counting, etc. To overcome this limitation while respecting users’ privacy, we propose Bleach, a novel, efficient, and comprehensive approach allowing randomized MAC addresses to device association from probe-requests. Bleach models the frame association as a resolution of MAC conflicts in small time intervals. We use time and frame content-based signatures to resolve and associate MACs inside a conflict. We propose a novel MAC association algorithm involving logistic regression using signatures and our introduced time metric. To the best of our knowledge, this is the first work that formulates the probe-request association problem as a generic resolution of conflicts and benchmarks the association concerning several datasets. Our results show that Bleach outperforms the state-of-the-art schemes in terms of accuracy (as high as 99%) and robustness to a wide range of input probe-request datasets.

Structure, agency and local climate governance: how do individual actors exploit local contexts to shape policymaking in smaller cities and towns?

ABSTRACT Previous studies stress that structural conditions influence local climate action, but often neglect the role of agency in policymaking. Drawing on fieldwork in 11 German towns, we show how municipal managers frame climate-related policies in different ways to gain local support for action. Although these framings are influenced by each town’s socio-economic, demographic and political conditions, as well as its vulnerability to climate threats, they nonetheless highlight the importance of individuals in policymaking. We then present a two-dimensional framework to inform future research into structure and agency in local governance, whilst cautioning that undertaking such studies can be difficult.

대학 진로지도 질 관리를 위한 영국 사례 분석

[Purpose] The purpose of this study was to derive implications for Korea by analyzing in depth the background, development process, and contents of quality management of university career guidance in the UK.
 [Methods] We analyzed literature such as UK career guidance policies and government-published data related to quality management of university career guidance, and selected an analysis framework based on the career guidance quality management frame of Hooley & Rice (2019).
 [Results] University career guidance quality management in the UK has established a system and implementation capacity for career guidance quality management in six areas: policy, organization, process, human resources, performance, and consumption, and is continuing its efforts.
 [Conclusion] In order for college career guidance in Korea to provide universal career opportunities for all students, it is necessary to discuss the perspective of approaching career guidance quality management, and a plan should be prepared to advance it in the long run.

Managing quality assurance at community colleges in Ontario, Canada: experiences and perspectives of front-line quality managers

PurposeThis paper aims to examine the roles of quality managers at community colleges, their experiences balancing accountability and improvement and their insights into the future of quality assurance.Design/methodology/approachThis phenomenological, qualitative study used semi-structured interviews with eight community college quality managers to investigate their roles, experiences and perspectives. A reflexive thematic approach was used to analyze the interview data.FindingsFour themes were identified from participant responses: quality managers frame and enable program quality, quality managers drive program change, quality managers cultivate a culture of quality and quality managers seek system change. The findings illustrate the roles played by quality managers as they work to improve college education at program, institution and system-wide levels.Research limitations/implicationsThe decision of participants to accept the recruitment invitation might reflect particular attitudes, perspectives or experiences.Practical implicationsQuality assurance has emerged as a key mechanism for ensuring postsecondary programs are current, relevant and meeting the evolving needs of students and employers. This study advances the understanding of how quality assurance processes play out at the operational level and explores the experiences of quality managers as they navigate various quality tensions.Originality/valueQuality managers play key roles in leading, evaluating and influencing quality assurance processes in postsecondary education yet they are underrepresented in the literature. The findings of this study shed new light on the aspirational and influential roles they play in advancing quality assurance.

Exploring how retail and logistics service provider managers make sense of sustainability in last mile delivery

PurposeAn increasing number of last mile deliveries (LMDs) pose many sustainability challenges that retailers and logistics service providers (LSPs) can address. Using cognitive frames (CFs) as a lens, this study explored how retail and LSP managers make sense of sustainable LMDs.Design/methodology/approachThe methodological approach used is a multiple embedded case study. The data were obtained from interviews with retailers and LSPs, supplemented with secondary data for triangulation.FindingsThe findings present the operational aspects of LMDs that managers associate with sustainability and indicate that retail and LSP managers frame sustainability primarily as emission reduction. Managers indicate an externalization of responsibility and a compartmentalization of the supply chain, in which social sustainability is not associated with the last mile. Most managers indicate hierarchical CFs regarding sustainability, in which sustainability is an important topic but is subordinate to economic interests.Practical implicationsCollaboration between retailers, LSPs and other stakeholders is viewed as challenging but could alleviate some of the sustainability shortcomings and aid in the paradoxical framing and inclusion of social issues.Originality/valueA conceptualization of managerial CFs for sustainable LMDs, together with empirical frame indicators and three propositions, is presented, providing novel insights into how paradoxical CFs could make LMDs more sustainable. This approach illuminates the possibilities for how to untangle the operational manifestations of managerial framing and adds to the empirical exploration of CFs in supply chain management.

Political Public Relations and Image Management

Purpose: The general objective of the study was to explore political public relations and image management.
 Methodology: The study adopted a desktop research methodology. Desk research refers to secondary data or that which can be collected without fieldwork. Desk research is basically involved in collecting data from existing resources hence it is often considered a low cost technique as compared to field research, as the main cost is involved in executive’s time, telephone charges and directories. Thus, the study relied on already published studies, reports and statistics. This secondary data was easily accessed through the online journals and library.
 Findings: The findings reveal that there exists a contextual and methodological gap relating to political public relations. Preliminary empirical review revealed crucial insights into the multifaceted nature of political communication and its influence on public perceptions and reputations. It emphasizes the significance of strategic communication in effectively managing image and reputation, highlighting the benefits of proactive strategies like media relations, crisis management, and message framing. Additionally, authenticity and transparency emerge as pivotal factors in political image management, fostering trust and credibility among constituents. Furthermore, the study stresses the importance of adapting communication strategies to evolving media landscapes and audience preferences, advocating for innovation and audience-centric approaches. Lastly, ethical and responsible communication practices are deemed essential for maintaining trust and legitimacy, emphasizing the need for honesty, transparency, and respect for diverse perspectives. Overall, by understanding the complexities of political communication dynamics and embracing ethical and audience-centric approaches, political entities can successfully navigate image management challenges and cultivate positive relationships with stakeholders.
 Unique Contribution to Theory, Practice and Policy: The Agenda Setting theory, Attribution theory and Social Identity theory may be used to anchor future studies on political public relations and image management. The recommendations for political actors in managing their image encompass adopting a strategic communication approach that aligns with organizational goals and values, prioritizing transparency and authenticity to build trust among constituents, establishing a crisis communication plan to address crises effectively, integrating social media strategies responsibly to engage with followers and counter negative narratives, investing in personal branding efforts to connect with voters on a personal level, and prioritizing stakeholder engagement to demonstrate responsiveness and inclusivity. These recommendations underscore the significance of strategic planning, transparent communication, crisis preparedness, social media engagement, personal branding, and stakeholder collaboration in political public relations and image management, ultimately aiming to enhance communication effectiveness and cultivate a positive public image.

Big Data Security on Hadoop Open Source Frame for Healthcare Data Management using One-Time-Pad Encryption Algorithm

The study elicited knowledge about the factors associated with one-time pad encryption/decryption with big data in healthcare; formulate an assembled algorithms model for one-time pad encryption; design and implement the system and evaluating the system performance with the view implementing big data security on Hadoop open-source framework for healthcare data. Literature was sourced to investigate the factors associated with healthcare security attacks and various consequences of breach of data. An assembled algorithm model was formulated using mathematical theory of one-time pad encryption and a model was designed using Universal Modelling Language (UML) and implemented using python programming language, Distributed File System of Hadoop, Yet Another Resource Negotiator called YARN; encryption time and decryption time was adopted for the performance metrics deployed for the evaluation of the developed system. The result showed that as the size of the files increased, the encryption/decryption time keeps increasing as well. While carryout the algorithm evaluation, two different values (file sizes) were used for testing on the Hadoop framework.Securing the healthcare (Ebola) big-data, it was observed that OTP encryption/decryption performed better compared to AES encryption/decryption in term of computational processing time of the healthcare big-data considered. Considering before/after downloading, it was observed that there was need for authentication for another level of security towards securing healthcare records on HDFS. The study concluded that, big data analytics on Hadoop is ideal for today’s big healthcare data and also that One Time Pad encryption algorithm is sufficient to provide needed big healthcare data security.

Towards Multi-user Access Fairness in Reconfigurable Intelligent Surface Assisted Wireless Networks

Reconfigurable intelligent surface (RIS) provides additional physical channels to existing wireless network infrastructure and has attracted intensive research attention to enhance the communication capacity and extend additional user accommodation. Existing RIS researches mainly focus on optimizing the physical-layer channel utilization, and have yet to consider the multi-user fairness of the medium access process when involving the RIS channel. This article shows that RIS can lead to severely unbalanced access opportunities among RIS-assisted users and others from the experimental analysis. Specifically, we demonstrate that due to the capture effect and unbalanced receiving rate of management frames, RIS-assisted users can have unfair competitive priorities to normal users without RIS resources. To overcome such unfair access issues, we propose a novel antiunfair algorithm that allows equal access opportunities for all kinds of users in a RIS-assisted network. Specifically, we optimize the management frames' modulation and coding scheme (MCS) selections to fight against unexpected bias to balance the access opportunities. We have conducted an experimental evaluation with a practical RIS system showing that the proposed antiunfair algorithm can significantly alleviate the fairness problem without compromising the network performance.

Domination of Managerial and Technical Frames—How the Circular Economy Is Reported in Finnish Business

AbstractOur research combines two research fields—the circular economy (CE) and sustainability reporting. Previous CE literature has focused on economic and environmental aspects, while the focus on social aspects has been rare. In the field of sustainability reporting, research on CE reporting is lacking. We address this gap. Our data consist of 32 sustainability reports from large Finnish companies. We applied frame analysis to the reports and found that CE reporting varies from none to moderate. Furthermore, we identified three different frames of CE reporting: CE management, technical CE and social CE. The management and technical frames dominate our data. This study contributes to the prior literature on CE reporting by showing how CE is positively framed in sustainability reports but lacks indications of the systematic change that is considered the core of CE in its previous conceptualisations. To achieve strong sustainability, companies urgently need to change the ways in which they operate.

Supporting Operational Tree Marking Activities through Airborne LiDAR Data in the Frame of Sustainable Forest Management

Implementing adaptation and mitigation strategies in forest management constitutes a primary tool for climate change mitigation. To the best of our knowledge, very little research so far has examined light detection and ranging (LiDAR) technology as a decision tool for operational cut-tree marking. This study focused on investigating the potential of airborne LiDAR data in enhancing operational tree marking in a dense, multi-layered forest over complex terrain for actively supporting long-term sustainable forest management. A detailed tree registry and density maps were produced and evaluated for their accuracy using field data. The derived information was subsequently employed to estimate additional tree parameters (e.g., biomass and tree-sequestrated carbon). An integrated methodology was finally proposed using the developed products for supporting the time- and effort-efficient operational cut-tree marking. The results showcased the low detection ability (R2 = 0.15–0.20) of the trees with low DBH (i.e., regeneration and understory trees), while the dominant trees were accurately detected (R2 = 0.61). The stem biomass was accurately estimated, presenting an R2 of 0.67. Overall, despite some products’ low accuracy, their full and efficient exploitability within the aforementioned proposed methodology has been endeavored with the aim of actively contributing to long-term sustainable forest management.

Climate Change as Represented in Corporate Social Responsibility Reports of American and Chinese Energy Giants: A Critical Frame Analysis Perspective

Adopting a critical frame analysis perspective, this study investigates how American and Chinese energy giants represent and frame climate change in their corporate social responsibility reports, and reveals the respective underlying motivations and ideologies. The results show that the eight energy giants all recognized climate change, barely diagnosed its causes, slightly interpreted its impacts, but placed heavy emphasis on their solutions. They divert responsibility and criticism, through representing themselves as a victim and solver rather than a contributor. The frames identified in both corpora include Emission Management frame, Techno-optimism frame, Countermeasures frame, and Stakeholder Engagement frame, with common and distinct characteristics across the two corpora. The analysis of representations and frames exposes shared motivations such as greenwashing, legitimacy, and stakeholder engagement. However, these motivations indicate distinct ideologies, with American energy giants’ ideological denial, a subtle form of climate denialism, and Chinese energy giants’ green growth ideology, striving for a green, low-carbon development while reducing emissions.

Developing System of Indicators Estimating Bankruptcy Possibility for Public Catering Organizations within the Frames of Crisis Management

Developing the optimum crisis strategy depends mainly on the quality of analytical base, which is built in the process of finance analysis and diagnostics of organization bankruptcy. It is connected with organizations of public catering as well. Today issues of shaping the optimum set of indicators to estimate bankruptcy possibility have not been clarified so far. Thus the necessity of investigations in the field is stipulated by debatable nature of accounting for sectoral peculiarities in the current assessment methods. The goal of the research is to identify specific features of building the system of indicators for estimating bankruptcy possibility in public catering organizations. Such research methods as comparative analysis, statistic analysis, correlation analysis, bench-marking, classification and ranking were used, as well as the modified method of hierarchy analysis. As a result of the research academic and practical recommendations were put forward dealing with developing the system of indicators for estimating bankruptcy possibility in public catering organizations. The authors came to the conclusion that the optimum system of indicators for estimating bankruptcy possibility could foster the development of efficient strategy of crisis management.

Point-of-Care Testing for the Detection of MicroRNAs: Towards Liquid Biopsy on a Chip.

Point-of-care (PoC) testing is revolutionizing the healthcare sector improving patient care in daily hospital practice and allowing reaching even remote geographical areas. In the frame of cancer management, the design and validation of PoC enabling the non-invasive, rapid detection of cancer markers is urgently required to implement liquid biopsy in clinical practice. Therefore, focusing on stable blood-based markers with high-specificity, such as microRNAs, is of crucial importance. In this work, we highlight the potential impact of circulating microRNAs detection on cancer management and the crucial role of PoC testing devices, especially for low-income countries. A detailed discussion about the challenges that should be faced to promote the technological transfer and clinical use of these tools has been added, to provide the readers with a complete overview of potentialities and current limitations.

Point‐of‐Care Testing for the Detection of MicroRNAs: Towards Liquid Biopsy on a Chip

AbstractPoint‐of‐care (PoC) testing is revolutionizing the healthcare sector improving patient care in daily hospital practice and allowing reaching even remote geographical areas. In the frame of cancer management, the design and validation of PoC enabling the non‐invasive, rapid detection of cancer markers is urgently required to implement liquid biopsy in clinical practice. Therefore, focusing on stable blood‐based markers with high‐specificity, such as microRNAs, is of crucial importance. In this work, we highlight the potential impact of circulating microRNAs detection on cancer management and the crucial role of PoC testing devices, especially for low‐income countries. A detailed discussion about the challenges that should be faced to promote the technological transfer and clinical use of these tools has been added, to provide the readers with a complete overview of potentialities and current limitations.

Artificially applied late-terminal drought stress in the field differentially affects Ramularia leaf spot disease in winter barley

Ramularia leaf spot disease (RLS) is one of the most dominating fungal diseases in barley. The disease typically appears late in the season after flowering and results in a rapid loss of photosynthetic leaf area. A recent decline in fungicide efficacy and a lack of RLS-resistant cultivars hamper effective control. Global warming will provoke increasing droughts which influence host plant physiology and probably affect outbreak and severity of RLS. Relatively little is known about genetic resistance to RLS in winter barley and about the influence of various weather conditions and climate change on RLS pathogenesis. Hence, we evaluated severity of RLS on 15 winter barley genotypes under persistent late-terminal drought stress or controlled irrigation, respectively, in a field rainout shelter. Over three consecutive years, we observed reproducible differences in quantitative RLS field resistance of the used cultivars and variable suppression of RLS under drought. Our results support a function of drought in suppression of RLS in winter barley, but also reveal strong year effects even under semi-controlled rainout shelter conditions. Data may be relevant for genotype selection in breeding programmes for RLS resistance and for farmers in the frame of integrated disease management under a changing climate.Graphical abstract

IMAGE AS AN EDUCATIONAL COMPONENT OF PERSONNEL POLICY IN PUBLIC MANAGEMENT BODIES: HUMANITARIAN ASPECT

The article considers image within the concept of employer branding in public management bodies, in frames of New Public Management. It is shown that the attractiveness of the brand of a particular government body is a key factor for quality staffing and provides an additional advantage in the labor market, however, the lack of linkage between the training and development of public management bodies employees and employer value proposition leads to the absence of the effect of involvement and, accordingly, the leakage of employees to the private sector. Based on the analysis of theoretical provisions both in NPM and business HR-management, as well as some case studies, it is shown that importance of image as an educational component of HR policy in public management bodies is especially evident.

Tools for Ground-Truth-Free Passive Client Density Mapping in MAC-Randomized Outdoor WiFi Networks.

In the past few years, data privacy legislation has hampered the ability of WiFi network operators to count and map client activity for commercial and security purposes. Indeed, since client device MAC devices are now randomized at each transmission, aggregating client activity using management frames such as Probe Requests, as has been common practice in the past, becomes problematic. Recently, researchers have demonstrated that, statistically, client counts are roughly proportional to raw Probe Request counts, thus somewhat alleviating the client counting problem, even if, in most cases, ground truth measurements from alternate sensors such as cameras are necessary to establish this proportionality. Nevertheless, localizing randomized MAC clients at a network site is currently an unsolved problem. In this work, we propose a set of nine tools for extending the proportionality between client counts and Probe Requests to the mapping of client densities in real-world outdoor WiFi networks without the need for ground truth measurements. The purpose of the proposed toolkit is to transform raw, randomized MAC Probe Request counts into a density map calibrated to an estimated number of clients at each position.