bluuebunny/crossref_metadata_2025_split huggingface dataset:
Com_Tracker: a two-phases framework for detecting and tracking community evolution in dynamic social networks
Authors: Dakiche Narimene , Benatchba Karima , Benbouzid-Si Tayeb Fatima , Slimani Yahya , Brahmi Mehdi Anis 
Published: October 2024

Purpose
This paper aims to introduce a novel modularity-based framework, Com_Tracker, designed to detect and track community structures in dynamic social networks without recomputing them from scratch at each snapshot. Despite extensive research in this area, existing approaches either require repetitive computations or fail to capture key community behavioral events, both of which limit the ability to generate timely and actionable insights. Efficiently tracking community structures is crucial for real-time decision-making in rapidly evolving networks, while capturing behavioral events is necessary for understanding deeper community dynamics. This study addresses these limitations by proposing a more efficient and adaptive solution. It aims to answer the following questions: How can we efficiently track community structures without recomputation? How can we detect significant community events over time?

Design/methodology/approach
Com_Tracker models dynamic social networks as a sequence of snapshots. First, it detects the community structure of the initial snapshot using a static community detection algorithm. Then, for each subsequent time step, Com_Tracker updates the community structure based on the previous snapshot, allowing it to track communities and detect their changes over time. The locus-based adjacency encoding scheme is adopted, and Pearson’s correlation guides the construction of neighboring solutions.

Findings
Experiments conducted on various networks demonstrate that Com_Tracker effectively detects community structures and tracks their evolution in dynamic social networks. The results highlight its potential for real-time tracking and provide promising performance outcomes.

Practical implications
Com_Tracker offers valuable insights into community evolution, helping practitioners across fields such as resource management, public security, marketing and public health. By understanding how communities evolve, decision-makers can better allocate resources, enhance targeted strategies and predict future community behaviors, improving overall responsiveness to changes in network dynamics.

Originality/value
Com_Tracker addresses critical gaps in existing research by combining the strengths of modularity maximization with efficient tracking of community changes. Unlike previous methods that either recompute structures or fail to capture behavioral events, Com_Tracker provides an incremental, adaptive framework capable of detecting both community evolution and behavioral changes, enhancing real-world applicability in dynamic environments.
Visual metaphors for collaboration planning in strategy meetings
Authors: Illi Mikko , Gustafsson Robin , Masoodian Masood 
Published: October 2024

PurposeUsing visual metaphors with physical artefacts can improve collaboration planning processes in strategic meetings. The study presented here aims to examine these processes.Design/methodology/approachIn this study, the participants used the LEGO® Serious Play® method in strategic planning meetings. The meetings were video recorded, and a thematic analysis method was applied to produce coded themes and narratives of collaboration planning based on the visual metaphors used in the meetings.FindingsThe study participants built LEGO artefacts representing three primary visual metaphors of collaboration focussing on landscapes, interaction processes and shared goals. The participants began with building landscapes by stacking and connecting LEGO base pieces as surfaces to build on, and to represent separate physical locations and more abstract business concepts. Alternatively, landscapes were built to centre activities around key business stakeholders. In terms of interaction processes, the participants lined up LEGO character pieces to explore communications between product developers, salespersons, customers and external partners. As for shared goals, tower-like high structures were created to represent open discussions, data sharing, prototyping and threats that should be avoided.Originality/valueThis study shows that using visual metaphors with physical artefacts provides an effective method for planning strategic collaboration areas, communications and future goals. Creating and communicating visual metaphors using physical artefacts enhances the creativity and participation of the meeting participants. Our future work will focus on studying the use of physical artefacts other than LEGO pieces in different group meetings contexts to better understand the role of visual metaphors.
A study exploring the adoption of cash IPSAS in the Solomon Islands: the case of the provincial governments
Authors: Oru Marianne , Narayan Anil K. , Rahman Asheq , Fukofuka Peni 
Published: October 2024

Purpose
This study aims to examine the adoption of the cash-basis International Public Sector Accounting Standard (or for short cash IPSAS) within a problematic provincial government institution in the Solomon Islands.

Design/methodology/approach
An interpretive methodology that uses qualitative data techniques such as interviews and document analysis was used for this study. A total of 30 semi-structured interviews were held in 2022 at both levels of government (national and provincial). Documents included government, social media and historical or archival data. Thematic data analysis, which frames the discussions for this study, was conducted.

Findings
This study illustrates how the integration of the cash IPSAS with a locally designed funding framework called the Provincial Capacity Development Fund (PCDF) has successfully transformed the provincial government financial system, which has led to restoring the problematic image of the provincial government system in the Solomon Islands.

Practical implications
The study provides a practical example of how locally designed, neoliberal accounting tools inspired by new public management (NPM) doctrines can aid the efforts to achieve greater accountability. Policymakers, standard setters and regulators therefore, should promote and enforce an integrated approach to reform, reflecting the localities of developing countries when proposing international best practices such as IPSAS.

Social implications
The study contributes to the discussion on the role of accounting in its wider social context. The paper highlights how accounting as a calculative tool is instrumental in mediating conflict between political rival groups in the Solomon Islands.

Originality/value
This study is original and offers a unique perspective on the broader societal role of the cash IPSAS standard. Its implications are significant in addressing societal changes as a result of colonialism.
Beyond success and failure: learning from execution of corporate entrepreneurial actions
Authors: Osiyevskyy Oleksiy , Babych Tetiana , Biloshapka Vladyslav 
Published: October 2024

Purpose
This article aims to redefine the paradigm of evaluating corporate entrepreneurial actions, moving beyond the simplistic success/failure dichotomy. It underscores the importance of a nuanced understanding of the outcomes of such initiatives, emphasizing the need for organizations to learn from both their successes and failures. The focus is on fostering a learning organization culture, where strategic decision-making is enhanced through a comprehensive analysis of past entrepreneurial endeavors, thus ensuring long-term corporate health and growth.

Design/methodology/approach
The study is based on the analysis of the existing literature and illustrative real-world cases from prominent corporations.

Findings
The findings reveal that understanding the reasons behind the success or failure of strategic initiatives is crucial for sustainable corporate growth. The study highlights that mere success can be misleading without comprehending the underlying factors, just as failure can offer valuable lessons if properly analyzed. The 'Learning from Execution Matrix' facilitates this understanding, aiding corporations in fostering a culture of continuous improvement. The DIRS (Decomposition, Interpretation, Rewarding, Scaling) framework further helps in breaking down and scaling these learnings for broader application within the organization.

Originality/value
This article contributes to the field of strategic entrepreneurship by providing a novel framework for analyzing corporate entrepreneurial actions. The 'Learning from Execution Matrix' and the DIRS framework offer practical, actionable tools for managers and leaders, fostering a culture of learning and strategic adaptation. This approach is original in its emphasis on the nuanced understanding of both successes and failures, making it a valuable guide for corporations seeking sustained growth and innovation in a competitive business environment.
Advancing packaging technology: computational fluid dynamics modeling for capillary underfill encapsulant in multi-chip heterogenous packages
Authors: Azman Muhammad Aqil , Abdullah Mz , Loh Wei Keat , Ooi Chun Keang 
Published: October 2024

Purpose
The purpose of this study is to investigate the dynamics of capillary underfill flow (CUF) in flip-chip packaging, particularly in a multi-chip configuration. The study aims to understand how various parameters, such as chip-to-chip spacing (S12), chip thickness (tc) and others, affect the underfill flow process. By using computational fluid dynamics (CFD) simulations and experimental studies, the goal is to provide insights into understanding the dynamics of CUF in heterogeneous electronic packaging.

Design/methodology/approach
The paper introduces a CFD analysis and experimental study on CUF in a multi-chip configuration, aiming to understand underfill flow dynamics. A 3D geometry models of multi-chip arrangement are created using computer-aided design (CAD) software. After that, the CAD models are meshed and simulated in Ansys Fluent using incompressible and non-Newtonian fluid properties. The study maintains S12 of 2.86 and tc of 22.29 between experimental and simulation data for results validation. Next, a various of S12 values (1.14, 2.86, 5.71, 8.57, 14.29 and 20) which focus on tc of 22.29 have been investigated. Further studies have been conduct using S12 of 5.71 and tc of 8.00, 14.29 and 22.29.

Findings
Results show a strong correlation between simulation and experiment which validate the correctness and robustness of simulation. Further parameter’s studies using simulation for various of S12 indicated that higher S12 values lead to faster flow. This effect is due to large underfill weight from reservoir able to flow into S12 region which contributed to higher mass momentum movement. Furthermore, the effect of various of tc shows that the thicker the chip the faster the underfill to flow in S12 region.

Research limitations/implications
The intentional exclusion of solder bump pattern arrangements from the experiment and simulation may limit the study's ability to fully understand the impact of solder bump patterns on underfill flow. Therefore, more parameters can be investigated such as solder bump pattern, underfill weight and dispense pattern in the future using CFD.

Practical implications
The manuscript provides a comprehensive examination of the contributions of CFD to the advancement of knowledge regarding CUF phenomena in heterogeneous electronic packaging assemblies. Moreover, it delineates the utilization of CFD methodologies to assess the influence of chip-to-chip spacing (S12) and the thickness of the chip (tc) on the underfill flow characteristics.

Originality/value
This paper fulfills an identified need of computational fluid dynamics method to study capillary underfill flow dynamics in heterogenous electronic packaging.
Context dependence of grassland plant response to arbuscular mycorrhizal fungi: The influence of plant successional status and soil resources
Authors: Bryant Reb L. , Bever James D. 
Published: October 2024

Abstract

Many of the disturbance‐sensitive, late successional plant species in grasslands respond to arbuscular mycorrhizal (AM) fungi more positively via growth and establishment than plants that readily establish in disturbed areas (i.e. early successional species). Inoculation with AM fungi can therefore aid the establishment of late successional species in disturbed areas. If the differential benefit of AM fungi to late versus early successional plants is context‐dependent, however, this advantage could be diminished in high phosphorus (P) post‐agricultural soils or in future climates with altered precipitation.

In this greenhouse experiment, we tested if late successional plant species are less plastic in their reliance on AM fungi than early successional plants by growing 17 plant species of different successional status (9 early and 8 late successional) in full factorial combinations of inoculated or uninoculated with AM fungi, with ambient or high P levels, and with low or high levels of water.

AM fungi positively affected the biomass of the 17 grassland plant species, but across all environments, late successional plant species generally responded more positively to AM fungi than early successional plants species.

AM fungal growth promotion and change in below‐ground biomass allocation was generally diminished with P fertilizer across all plant species, and while there was significant variation among plant species in the sensitivity of AM fungal responsiveness to P fertilization, this differential sensitivity was not predicted by plant successional status.

The role of AM fungi in plant growth promotion was not generally altered by variation in watering, however late successional plant species allocated a greater proportion of their biomass below‐ground in response to AM fungi in low versus high water conditions.

Synthesis. Overall greater responsiveness to arbuscular mycorrhizal (AM) fungi by late successional species is consistent with an important role of AM fungi in plant succession, even while AM fungi are less impactful overall in high P soils. However, the increase in responsiveness of below‐ground allocation of late successional species to AM fungi in low water conditions suggests that successional dynamics may be more dependent on AM fungi in future climates that feature greater propensity for drought.
Comparing the success and failure of the Murray–Darling Basin Plan's water recovery programs
Authors: Wheeler Sarah Ann 
Published: October 2024

AbstractThe Murray–Darling Basin (MDB) Plan is held up by some as an exemplar for world‐leading water policy, whilst others have called it a failure. Total proposed recovery was to return 3200 GL of consumptive (e.g. namely irrigation) water use to non‐consumptive (e.g. environmental) use in the MDB, making it one of the largest planned reallocations of water resources in the world. As of June 2023, over AUD$13 billion was committed financially from the Australian government to Basin water reform, with AUD$7.7 billion spent to date on water recovery programs. The implementation of the Plan has been mired in controversy, and it missed its first water recovery targets that had been set for 2024, requiring substantial legislation amendments. This study provides a qualitative policy overview comparison of the success and failure of the two main water recovery programs implemented—buyback of water entitlements from willing sellers and subsidising irrigation infrastructure (on and off‐farm) projects. It concludes that contrary to the popular view held by many, the buyback water recovery program has been a success—achieving the majority of the water recovered to date, at the least cost, with the least negative externalities—in comparison to infrastructure programs.Points for practitioners
Assessing success and failure of MDB water recovery programs requires establishing effectiveness, efficiency and equity criteria. Greater work on the benefits of water reallocation downstream and cultural water is needed.
A comparison of MDB buyback water recovery programs with irrigation infrastructure programs found higher net benefits for buyback programs.
Use first‐best policy to address each water policy objective, not one policy aimed at addressing multi‐objectives.
Overall, the Plan.s overall success is still to be determined, given the difficulty in judging environmental outcome success that is intrinsically linked with other external factors.
Follow which leader? Spatial mimicry and broad‐based equity‐ and profit‐sharing plans
Authors: Birkhead Colin , Hand Mark C. 
Published: October 2024

AbstractOrganizations have both local and nationally prominent peers from which they can model their human resource management practices. How does a focal organization reconcile the influence of smaller, spatially proximate peer organizations with the influence of prominent, distant organizations? We develop the concept of spatial mimetic gravity to estimate the mimetic pressures a focal organization feels from its geographically proximate and distant peers. We examine the population of craft beer brewers in the United States between 2013 and 2019 and find that the propensity to offer a stock ownership or profit‐sharing plan is a function of a focal brewery's spatial proximity to its peers and their prominence. We help explain why some firms offer broad‐based equity‐sharing and profit‐sharing plans and others do not. In doing so, we argue that organizational spatial mimicry is best understood from a gravity approach, adding a field‐level explanation to previously individually focused theory about organizational choices.
Surface‐engineered bacteria in drug development
Authors: Dahlsson Leitao Charles , Ståhl Stefan , Löfblom John 
Published: October 2024

AbstractBacterial surface display in combination with fluorescence‐activated cell sorting is a versatile and robust system and an interesting alternative approach to phage display for the generation of therapeutic affinity proteins. The system enables real‐time monitoring and sorting of cell populations, which presents unique possibilities for drug development. It has been used to develop several affibody molecules currently being evaluated preclinically for the treatment and diagnosis of, for example, cancer and neurodegenerative diseases. Additionally, it can be implemented in other areas of drug design, such as for mapping epitopes and evolving enzyme specificities.
Development of an accelerometer‐based wearable sensor approach for alcohol consumption detection
Authors: Bush Nicholas J. , Cushnie Adriana K. , Sinclair Madison , Ahmed Huda , Schorn Rachel , Xie Tongzhen , Boissoneault Jeff 
Published: October 2024

AbstractBackgroundAlcohol is a commonly used substance associated with significant public health consequences. Treatment is often stigmatized and limited with regard to both access and affordability, demonstrating the need for innovations in alcohol treatment. Accelerometer sensors can detect drinking without user input and are widely incorporated into wearable devices, increasing accessibility and affordability.MethodsWe compared a distributional and random forest classification approach to detect and evaluate sensor‐based drinking data. Data were collected at a local state fair (n = 194), where participants drank water at specified intervals interspersed with confounding behaviors (e.g., touching nose, rubbing forehead, or yawning) while wearing an Android‐based smartwatch for 10 min. Participants were randomized to receive one of three drinking container shapes: pint, martini, or wine.ResultsThe random forest model achieved an overall testing accuracy of 93% (sensitivity = 0.32; specificity = 0.99; positive predictive value = 0.74). The distributional algorithm achieved an overall accuracy of 95% (sensitivity = 0.76; specificity = 0.97; positive predictive value = 0.72). The distributional algorithm had a significantly greater accuracy (t(193) = 7.73, p < 0.001, d = 0.56) and sensitivity (t(193) = 24.5, p < 0.001, d = 1.76). Equivalency testing demonstrated significant equivalency to the ground truth for sip duration (tlower(193) = 16.92, p < 0.001; tupper(193) = −9.85, p < 0.001) and between‐sip interval (tlower(193) = 1.72, p = 0.044; thigher(193) = −3.96, p < 0.001). However, the random forest did not have significant equivalency to the ground truth for between‐sip interval (tlower(193) = 1.98, p = 0.025; thigher(193) = 0.160, p = 0.564).ConclusionsOverall, the results indicated that consumer‐grade smartwatches can be utilized to detect and measure alcohol use behavior using machine learning and distributional algorithms. This work provides the methodological foundation for future research to analyze the behavioral pharmacology of alcohol use and develop accessible just‐in‐time clinical interventions.
Structural transformation without industrialization? Evidence from Tanzanian consumers
Authors: McCullough Ellen B. 
Published: October 2024

AbstractExport‐oriented industrialization was central to many Asian countries' structural transformation processes, but many African countries are bypassing industrialization, and the prospects for competing in global manufacturing markets are poor. Alternative structural transformation pathways all rely on domestic markets, and thus understanding their trajectories requires uncovering consumer preferences. Using detailed household expenditures data from a nationally representative panel survey in Tanzania, I estimate a flexible, stylized consumer demand system. I recover estimates of expenditure elasticities of demand for goods, services, and food in the aggregate, along with price elasticities of demand, identified using within‐household variation in prices and expenditures. I find that, across the expenditures distribution and in both rural and urban areas, consumer preferences are service facing. In particular, I show that (1) consumers sharply increase spending on services relative to goods and food as incomes increase; (2) demand for services in the aggregate is somewhat sensitive to changes in service prices; and (3) food, goods, and services are substitutes for each other. On one hand, a high propensity to consume the types of services that generate large local economic growth multipliers is consistent with driving growth in service sector employment. However, sustained growth in the long run may be limited because these services are low productivity and nontradable, and domestic markets are size constrained.
Procollagen C‐protease enhancer protein promotes glioma growth by activating ERK signaling
Authors: Ma Zhenchao , Huang Daxing , Ru Lixin , Chen Ming 
Published: October 2024

AbstractBackgroundProcollagen C‐proteinase enhancer (PCOLCE) promotes tumor progression in multiple cancers. However, the specific role of PCOLCE in gliomas remains enigmatic. In this study, we focused on analyzing PCOLCE expression and its correlation with clinicopathological parameters in glioma specimens; moreover, we explored the effects of PCOLCE in glioma proliferation in vitro and in vivo.MethodsA tissue microarray containing 159 human glioma specimens was pressed to explore the correlation between PCOLCE expression and the survival of glioma patients. Cell Counting Kit‐8 (CCK8), colony formation, and immunoblot assays were used to detect the role of PCOLCE on cell proliferation in glioma. Furthermore, the in vivo role of PCOLCE was investigated using a subcutaneous glioma xenograft model.ResultsThe expression of PCOLCE was higher in grade III and IV gliomas than in grade I and II gliomas. High PCOLCE expression was related to a remarkably worse prognosis in glioma patients. Additionally, PCOLCE downregulation impeded glioma cell proliferation. Furthermore, PCOLCE knockdown markedly abrogated p‐ERK expression in glioma cells, whereas, it negligibly influenced p38 and JNK signaling.ConclusionsThese results indicate that PCOLCE is a feasible prognostic biomarker for glioma, and PCOLCE‐induced activation of ERK signaling may be a pro‐growth mechanism in glioma cells.