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In the majority of devices for measuring the resistance of wires or cables, the supplying voltage is applied via some clamping arrangement. Thus, current enters the bundle of conductors through the side surface of the outside wire. The purpose of this project was to establish the distance from the supplying point after which the current may be considered to be uniform and normal to the cable cross‐section.

When current passes from one wire to another, the crucial parameter is the resistance of the contact region. The paper presents a method by which this region can be identified and relevant resistance measured. A comprehensive simulation was conducted for different types of wires and cables to assess the influence of design parameters on the current distribution and uniformity.

The distance from the current entry point (the clamps) to the position where current density may be considered uniform has been established. This has facilitated estimating recommended positions of voltage taps with reference to current taps.

The look‐up tables and graphs allow adjustments to the position of the taps and/or correction of the measured results.

The original contribution of this paper is in the way the contact region is identified where current passes from one wire to another. Original relationships have been proposed showing the relationship between contact resistance and the design parameters of the cable and mechanical stress.

Al-Qaeda is conventionally portrayed as a monolithic, hierarchical organization whose activities – coordinated by the network's leader Osama bin Laden – are the source of international terrorism today. Al-Qaeda is considered a radical tendency within the broader Islamist Salafi movement, legitimizing its terrorist operations as a global Islamist jihad against Western civilization. Al-Qaeda's terrorist activity today is considered, “blowback” from long finished CIA and western covert operations in Afghanistan.

The conventional wisdom is demonstrably false. After the Cold War, Western connections with al-Qaeda proliferated around the world, challenging mainstream conceptions of al-Qaeda's identity. Western covert operations and military – intelligence connections in strategic regions show that “al-Qaeda” is a network whose raison d’etre and modus operandi are inextricably embedded in a disturbing conglomerate of international Western diplomatic, financial, military and intelligence policies today. US, British, and Western power routinely manipulates al-Qaeda through a complex network of state-regional and human nodes. Such manipulation extended directly to the 9-11 hijackers, and thus to the events of 9-11 itself.11This paper advances an original argument based partially on research in Ahmed (2005), supplemented here with significant new data and analysis. Also see Ahmed (2002).

The purpose of this research was to investigate how VR-mediated sports, as opposed to 2-D screens, affect the emotional and cognitive experiences of fans with the game and its sponsors.

The current study employed a single-factorial experimental design, in which participants were randomly assigned to either watch a soccer game through a VR headset or a 2-D screen. Physiological and self-reported measures were used to measure levels of presence, arousal, attention and memory.

Participants who watched sports through VR experienced a higher level of presence, greater psychophysiological arousal, and exhibited higher levels of attention toward the game. However, they showed lower recognition for in-stadium signage compared to those who watched the game on a 2-D screen.

The results suggest that sports teams can use VR to create a more immersive and engaging experience for fans. Additionally, in-stadium signage advertising may not be as effective in VR sport broadcasting contexts, and sports practitioners may want to explore alternative forms of advertising that are better suited for VR environments.

Methodologically, this study used a combination of self-reported and real-time physiological measures to capture dynamic and spontaneous changes in fans while watching games. Theoretically, this study utilized the Dynamic Human-Centered Communication System Theory to adopt a human-centered approach to understand how VR impacts the experience of sport game viewers.

Given the growing importance of the relationship between customer value co-creation and customer satisfaction, it is essential to assess the implications of this connection from both a managerial and an academic perspective. The literature on this link has grown enormously in recent years. However, there lacks an integrative framework to improve its understanding. Based on the use of bibliometric techniques, the purpose of this article is threefold: firstly, to shed light on the relationship's knowledge structure by identifying the main clusters of topics; secondly, to propose an integrative conceptual framework and finally, to identify future avenues of research.

The authors analyze a database of 133 recent documents dealing with this pairing to address this gap. A bibliometric coupling methodology was used. Additionally, an in-depth analysis of centrality, density and citations for the different clusters identified in the last years was performed. The authors characterize each group in the knowledge map of the relationship.

This bibliometric analysis identified seven thematic clusters. Three of these, with a more transversal nature, have fostered the growth of this literature. The subsequent clusters used theoretical frameworks present in the first three clusters, adapting them to the specific circumstances analyzed, following different patterns of evolution. The authors present the behavior of the citations in each cluster over recent years, analyzing their intellectual base, trends and development potential.

Derived from their findings, an integrative conceptual framework for explaining the knowledge structure of research in value co-creation and the customer satisfaction literature is proposed. The authors identify main topics by clusters and then detect research gaps and propose new research avenues for the future.

The Treynor and Mazuy framework is a widely used return-based model of market timing. However, existing corrections to the regression intercept can be manipulated through derivatives trading. Because they are conceptually flawed, these corrections produce biased performance measures. This paper aims to get back to Henriksson and Merton’s initial idea of option replication to overcome this issue and adapt the market timing model to various kinds of trading strategies and return-generating processes.

This paper proposes a theoretical adjustment based on Merton’s option replication approach adapted to the Treynor and Mazuy specification. The linear and quadratic coefficients of the regression are exploited to assess the cost of the replicating option that yields similar convexity for a passive portfolio. A similar reasoning applies for various timing patterns and in multi-factor models.

The proposed framework induces a potential rebalancing risk and involves the delicate issue of choosing the cheapest option. This paper shows that these issues can be overcome for reasonable tolerance levels. The option replication approach is a workable approach for practical applications.

The adaptation of Merton’s reasoning to the Treynor and Mazuy model has surprisingly never been proposed so far. This paper has the potential to correct for a pervasive bias in the estimation of the performance of a market timer in the context of this very popular quadratic regression setup. Because of the power of the option replication approach, the reasoning is shown to be applicable to multi-factor models, negative timing and market neutral strategies. This paper could fuel empirical studies that would shed new light on the genuine market timing skills of active portfolio managers.

The purpose of this study was to investigate the impact of replacing two different fats on dyslipidemia, glycemic balance and adipose tissue redox status in obese rats.

Obesity was induced by feeding a high-mutton-fat diet during three months. An experimental group (n = 24) was divided into two groups that were fed during one month, 20 per cent of margarine or sardine oil. At Day 30, six rats from each group were sacrificed and the remaining rats were then subjected to a change in diet for one month: margarine was replaced by sardine oil and inversely, and then the rats were sacrificed. Three other groups (n = 6), each fed during two months, 20 per cent of margarine, sardine oil or mutton fat, served as controls.

Substitution of sardine oil by margarine compared to control sardine oil had increased triacylglycerols (TGs), glycosylated hemoglobin (HbA1c) and isoprostanes (IsoPs) values, but decreased thiobarbituric acid reactive substances (TBARS) and superoxide dismutase activity. Replacing margarine by sardine oil compared to control margarine reduced total cholesterol, TG, HbA1c, TBARS and IsoP contents but enhanced glutathione reductase and peroxidase activities. Nevertheless, comparing with the mutton fat, the two substitutions had improved glycemic and lipidic abnormalities and attenuated lipoperoxidation by enhancing enzymatic antioxidant defense. These favorable effects were better when margarine was replaced by sardine oil.

Substituting margarine with sardine oil seems to attenuate beneficial cardiometabolic risk markers associated to obesity and potentiate efficiency adipose tissue against the oxidative stress induced by the obesogenic diet.

The study aims to enhance our understanding of strategizing sustainable palm oil at company level and to bridge the gap between strategy formulation and implementation. In this case-based study, the way a food company is tackling the challenges faced during the promotion and incorporation of sustainable palm oil into core business strategy is explored. By taking a strategy-as-practice approach, this research sheds light on the microlevel activities and the role of formulated plans, implemented actions and engagement in activities.

An ethnographic case study was carried out using participant observation, semi-structured interviews, informal interviews and documentary review.

The findings demonstrate the complexity of implementing a sustainability strategy for a controversial commodity such as palm oil in supply chains. External pressure was one of the most important drivers for taking action regarding environmental and social sustainability issues. Moreover, formulating and implementing supply chain strategies for sustainable palm oil required effective communication and collaboration between different departments within the organization.

Although important insights were obtained through this six-month long ethnographic case study, additional valuable information could have been obtained if the research had been carried out for longer.

The paper includes implications for strategizing sustainability at company level from a strategy-as-practice perspective.

Through this study, a better understanding of the challenges faced from the downstream perspective in sustaining food supply chains can be obtained.

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?

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.

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.

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.

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.

Decisions regarding the termination of organizational members are not only common but also represent difficult actions for managers. Despite their importance and frequency, managers often make or avoid them based on incomplete or faulty decision-making criteria. Previous research suggests that decision-makers are subject to internal influences that play significant roles in their decision-making.

Using a controlled between-groups experimental design, this study, guided by the heuristic-systematic model, tested to what extent decision-makers rely on heuristic cues versus the systematic processing of more relevant information when making termination decisions.

Findings suggest the order in which information is presented influences participants’ decision-making and influences the information-processing structure.

Findings suggest practical considerations for managers, management trainees and others who engage in termination decisions as to potential influencing factors.

This research adds to the understanding of the decision-making process in organizational contexts.