bluuebunny/crossref_metadata_2025_split huggingface dataset:
Two cases of dissimilation in Palestinian Arabic and their theoretical implications
Authors: Davis Stuart , Abo Mokh Noor 
Published: February 2025

Abstract
In-depth analyses of specific cases of consonantal dissimilation are rare in the literature on
Arabic phonology. This chapter examines two instances of consonantal dissimilation that occur in two different
Palestinian varieties: the depharyngealization of emphatic fricatives when occurring before back velars in a rural
variety and the dissimilation of a prefixal glottal stop to [h] when it precedes a root glottal stop in an urban
variety. Our examination focuses on the detailed descriptive patterns and offers an analysis referencing feature
geometry and rule ordering. Theoretical implications concern the general nature of dissimilation (Bennett 2013; Payne 2017) and the role
of abstract features in Arabic dialectal phonology especially regarding the historic uvular
*
q that can merge with [k] in rural Palestinian and with [ʔ] in urban Palestinian
Arabic while still having a phonology that is distinct from the sounds with which they merge.
Enhancing Hemmaberg Pilgrimage Route as a Heritage Destination
Authors: Kailos Pavlos , Vanneste Dominique 
Published: February 2025

Summary
This case study examines the Hemmaberg Pilgrimage route, situated within the UNESCO Global Geopark of Karavanke/Karawanken, spanning the Austria-Slovenia border. The broader area of the Geopark faces economic and demographic challenges. Despite its richness in geological diversity and cultural heritage, the lack of awareness of the area’s tourism potential and absence of a solid tourism plan hinder its path towards sustainable tourism success. Through a series of interviews with local stakeholders and experts in heritage and culture, as well as the use of secondary data, this case study outlines how merely preserving heritage value is not enough to ensure regeneration in this rural area, especially due to its remoteness. Via a specific model used for tourism management, it is established that the Hemmaberg route has great potential to attract tourists but must enhance various aspects of Hardware, Software and Orgware to become a successful pilgrimage route. These aspects include improving accessibility, tourist appeal and experiences while involving multiple stakeholders in heritage preservation and promotion. As the cave of worship of the patron saint of the area, St. Rosalia, was recently restored after a rockfall in 2015, now is the perfect time to chart a path towards sustainable tourism success for this pilgrimage site.

Information
© The Authors 2025
Development of extensible, durable and linear core-spun yarn sensor for smart textile applications
Authors: Xie Juan , Zhao Jing , Huang Gang , Qian Yao , Guo Changsheng , Liu Pengbi , Lin Guichun , Yuan Yayi 
Published: February 2025

Abstract
In recent years, fiber- and fabric-based strain sensors have demonstrated potential for achieving high sensitivity and large working sensing ranges. However, they are associated with difficulties due to unsatisfactory repeatability and poor wearing comfort. Here, we report a novel design of a flexible and extensible strain sensor with a core-sheath structure, where a conductive blended fiber assembles wrap around a flexible Spandex core filament. Compared to our previous conductive blended yarn, the elastic core-spun conductive yarn in this study enables an increased strain sensing range from 3% to approximately 16%, while guarantees excellent stability and durability during 100 stretching cycles and high linearity (goodness-of-fit > 0.97). Due to these enhanced performance attributes, the prepared elastic yarn strain sensor effectively recognizes gesture language when being fixed on a glove and presents remarkable advantages in detecting and monitoring joint activities (finger, elbow, knee, and neck).
Carrier transport and electronic defects in gallium oxide studied by photoconductivity techniques
Authors: Reynolds Steve , Nicol David , Smith Matthew , Nandi Arpit , Vanjali Sai Charan , Kuball Martin , Massabuau Fabien 
Published: February 2025

Abstract
Two complementary localised density of states spectroscopies, Modulated Photo-Conductivity (MPC) and the Constant Photocurrent Method (CPM) are applied to Ga2O3 thin films and are shown to be sensitive to carrier traps above and below the Fermi level, respectively. These techniques measure the film directly, without requiring a Schottky or p-n junction, which may offer advantages over conventional techniques in the study of high-resistivity or semi-insulating materials. The benefits of a higher-resolution MPC analysis are demonstrated.
Metallic Glass from the Point of View of Molecular Entropy Theory
Authors: Solunov Hristo Al. 
Published: February 2025

Abstract
The molecular entropy theory describes the glass transition as a cooperative molecular process. In theories’ equations, all thermodynamic and kinetic quantities of glass formation are expressed using molecular parameters. Two key molecular parameters are the size of the cooperative cluster and the average potential barriers per kinetic unit within the cluster. Equations has been established to measure the temperature dependence of both parameters The product of these two parameters defines the temperature dependence of the activation energy, which governs relaxation times, viscosity, and diffusion in glass formation. We found that, for all glass-forming substances, including metallic glass, the glass transition temperature is strictly proportional to the activation energy of the cooperative cluster at this temperature. Furthermore, we demonstrate that the size of the cooperative cluster at the glass transition temperature serves as molecular basis of the dynamic fragility (steepness) index.
Engineering the mechanical and X-ray attenuation properties of gelatine composite hydrogels with a potential for tissue mimicking materials
Authors: Tankovski Georgi , Georgieva Veselina , Traikova Nikoleta , Exner Ginka 
Published: February 2025

Abstract
The ability to engineer the properties of gelatine composite hydrogels with low-budget fillers, as potential tissue-mimicking materials in computed tomography, CT, is demonstrated. Composites with different distilled water/glycerol ratios, gelatine concentration of 0.08 g/ml and two fillers (collagen and eggshells powder, 0.08 g/ml) were prepared. Hounsfield units were measured as a function of the tube voltage and compared to biological tissues. The mechanical performance was also investigated. The results indicate that the composites successfully mimic liver, heart and muscle tissues in CT as well as trabecular bones. The mechanical performance allows the use of all composites as free standing tissue mimicking materials and they show a potential to be used as multimodal materials in CT and Ultrasound elastography for heart tissue replacement.
Stability of stochastic T-S fuzzy systems via dynamic event-triggered control
Authors: Zhang Yali , Liu Linna , Pan Chenglong , Zhou Shuaibo 
Published: February 2025

Abstract
This paper aims to examine the practical input-to-state stability (p-ISS) of stochastic T-S fuzzy systems (T-SFS) with parameter uncertainty by employing dynamic event-triggered control (DETC). In order to reduce the frequency of triggering events and the number of messages transmitted, we propose a DETC scheme, which introduces the waiting time to avoid Zeno behaviour and further saves communication resources. Additionally, within the DETC approach, LMI-based criteria are formulated to guarantee p-ISS for nonlinear stochastic T-SFS.
Control method of global interconnection of substation GIS equipment under repeated deduction
Authors: Li Dawei , Chen Jian , Lin Zhiyong , Zhao Shaojie , Guo Chunlan 
Published: February 2025

Abstract
To realize the overall control of substation GIS equipment from the overall perspective, research on the global interconnection control method of substation GIS equipment under repeated deduction is proposed. Considering that the core goal of the control of substation GIS equipment is to ensure that the health status of the substation reaches the optimal level, the twin assessment index system of substation health status is constructed, and based on this, a global interconnection model of substation GIS equipment is designed based on introducing FIS technology. In the control phase, the inner loop control and outer loop control are adopted to adjust the control parameters and output the optimal control in combination with the health status output of the whole area interconnection model of the substation GIS equipment. In the test results, the active power output of the design method is significantly higher than that of the control group and shows a higher stability.
Electricity demand forecasting in Zhangjiajie under the background of “dual carbon”
Authors: Ren Lang , Li Jiaxi , Zeng Ting , Wen Ming 
Published: February 2025

Abstract
Electricity demand forecasting is an important foundation for guiding energy planning. The proposal of the “dual carbon” policy has an impact on economic development, energy structure, and electricity demand, which traditional research has not considered. This work proposes a method for predicting electricity demand under the “dual carbon” background. Firstly, the main influencing factors of electricity demand under a “dual carbon” background are analyzed. Afterwards, the relationship between economy, energy, and carbon emissions is analyzed, and based on macro development trends, major economic indicators such as industrial structure are predicted. On this basis, combined with policy constraints such as energy consumption and carbon emission intensity, and considering the energy consumption structure, a method for predicting the total electricity consumption of the whole society under the background of “dual carbon” is proposed. The maximum load forecasting method is proposed based on the analysis of the maximum utilization hours of the load. The proposed method is applied to Zhangjiajie, providing methodological guidance for the analysis of the city’s economic development, the prediction of electricity consumption for the whole society, and the prediction of maximum load.
Two-tier optimal dispatch strategy for a park distribution network with electric vehicles with dynamic tariffs
Authors: Wang Junwei , Li Jianguo 
Published: February 2025

Abstract
In this paper, the optimal scheduling problem of active distribution networks after electric vehicle (EV) access is investigated, and a two-layer optimal scheduling strategy for an EV-containing park distribution network with dynamic tariffs is proposed. The upper-layer model takes the minimisation of EV charging and discharging cost and load variance as the objectives, and updates the charging and discharging states with the tariff, and particle swarm solves the optimal charging and discharging power curves and inputs them into the lower-layer model; the lower-layer distribution model takes the economic cost of the distribution network, the three-phase imbalance, the load variance, and the discard rate as the objectives, and adopts the multi-objective dung-beetle algorithm for solving the problem. The dynamic tariff of each phase is input into the upper layer model, and the up and down cycles are iterated until relatively stable. The results show that the two-layer optimal dispatch model with EVs proposed in this paper can not only optimise the charging and discharging cost and load difference of EVs in the upper layer, but also improve the four optimisation objectives of the lower distribution network, taking into account the optimisation of both the upper and lower layers, and the simulation results validate the effectiveness of the scheduling strategy.
Analysis of the influence of airflow wind angle and wind speed on the flow field distribution characteristics near double I-string composite insulators in transmission lines
Authors: Li Yanru , Liu Kang , Wang Yihu 
Published: February 2025

Abstract
In strong wind environments, changes in airflow patterns can affect the degree of deflection of insulator skirts. Deflection or tearing of composite insulator skirts can reduce their insulation performance. This article takes the double I-string composite insulator of the 330 kV transmission line as the research object. The wind angles are set as 0°, 16°, 30°, 60°, and 90°. The wind speeds are set as 5m/s, 10m/s, 20m/s, 30m/s, and 40m/s. The simulation results show that under the 0° windward angle condition, the upstream insulator completely blocks the airflow. The flow state near the double I-string changes with the variation of airflow velocity. The flow states on the high, medium, and low voltage sides of the upstream and downstream insulators are different. In future research, it may be considered to analyze the impact of airflow on the long-term performance of insulators and provide a reference for the optimization of insulator umbrella skirt structures.
Dynamically emergent correlations in bosons via quantum resetting
Authors: Kulkarni Manas , Majumdar Satya N , Sabhapandit Sanjib 
Published: February 2025

Abstract
We study the nonequilibrium stationary state (NESS) induced by quantum resetting of a system of $N$ noninteracting bosons in a harmonic trap. Our protocol consists of preparing initially the system in the ground state of a harmonic oscillator centered at $+a$, followed by a rapid quench where the center is shifted to $-a$ and the system is allowed to evolve unitarily up to a random Poissonian time $\tau$ distributed via $r\, e^{-r \tau}$. Then the trap center is reset to $+a$ again and the system is assumed to cool instantaneously to the initial ground state. The system is again allowed to evolve unitarily in the trap centered at $-a$ up to a random time, and the procedure is repeated. Under repeated resetting, the system reaches a NESS where the positions of bosons get {\em strongly correlated} due to simultaneous resetting induced by the trap. We fully characterize the steady state by analytically computing several physical observables&#xD;such as the average density, extreme value statistics, order and gap statistics, and also the distribution of the number of particles in a region $[-L,L]$, known as the full counting statistics (FCS). In particular, we show that in the large $N$ limit, the scaling function describing the FCS exhibits a striking feature: it is supported over a nontrivial finite interval, and moreover is discontinuous at an interior point of the support. Our results are supported by numerical simulations. This is a rare example of a strongly correlated quantum many-body NESS where various observables can be exactly computed.
Essential Concepts and Measures in Organizational Network Analysis
Authors: Emery Cécile , Halgin Daniel S , Li Zexi (Flavia) , Zhao Xiwen 
Published: February 2025

Abstract
This chapter introduces the foundational concepts necessary for understanding organizational networks and their analysis, as explored in the book. This chapter delves into key network concepts such as nodes and ties, elucidating how social connections form the fabric of organizations. Through this introduction to social network analysis, readers gain insights into graph representation and statistical measures for analyzing network properties. The chapter outlines the practical utility of these tools in uncovering hidden patterns and extracting valuable insights from organizational networks. By mastering these fundamental principles, readers can navigate the complexities of social structures and interpret subsequent chapters effectively.
Mitigating Collaboration Overload to Improve Workforce Well-Being at Johnson & Johnson
Authors: Martin Cody , Hoffman Michael , Kofford Clint 
Published: February 2025

Abstract
A trend of increasingly collaborative activities accelerated during the transition to remote and hybrid work, overloading employees and straining employee sentiment and well-being. This case study delves into how Johnson & Johnson applied different methodologies, including active and passive organization network analysis (ONA), employee experience data, and performance data, to investigate employee well-being and collaborative overload. The chapter describes how researchers strategically moved from a general diagnostic sentiment survey to a more targeted design using passive ONA and then finally to an even more precise and comprehensive method applying active ONA. The case highlights specific methods, measures, and insights applied to improve well-being by better balancing collaborative demands.
Advancing Human Resources Practice by Adopting a Social Network Perspective
Authors: Downes Patrick 
Published: February 2025

Abstract
Human resources (HR) research has traditionally focused on how to manage individual employees with diverse characteristics, personalities, and human capital. The emerging social network perspective on HR complements this focus on individual characteristics by calling attention to the social context within which employees are embedded. This perspective changes our understanding of HR practices and why they are valuable to organizations. This chapter reviews research across a wide variety of HR functions to reveal how they have (or can be) advanced by adopting a social network perspective. In doing so, it provides examples of how organizations might make HR practices more relational in order to build a more efficient and flexible workforce.
Network Drivers of Employee Innovation
Authors: Grosser Travis J , Cui Ziyue 
Published: February 2025

Abstract
Organizational innovation is a social phenomenon that requires the talent and coordination of multiple individuals to successfully enact. The increasing appreciation of the social aspect of innovation in recent decades led to an explosion of research on the relationship between social networks and innovation. The purpose of this chapter is to review that research. The chapter concentrates primarily on research that has examined the relationship between the social network characteristics of individual employees and individual-level innovation outcomes (i.e., idea generation, idea evaluation, idea implementation, and “overall” innovation performance). The review identifies (a) the primary network drivers of innovation outcomes, (b) the antecedents to social network characteristics that reliably drive innovation, and (c) the factors that enable employees to enhance the return they receive from their networks. The chapter concludes with a discussion of three future directions that have the potential to significantly advance practice.
Strategies for Creating Adaptive Space to Support Innovation at General Motors
Authors: Arena Michael 
Published: February 2025

Abstract
Amplified by disruptive technologies, most companies are challenged to achieve accelerated innovation, creativity, and agility to stay competitive. This reality is no less true for the iconic General Motors (GM); the hundred-year-old manufacturing giant was challenged to “self-disrupt” into a more nimble mobility company, pioneering autonomous and electric inventions while maintaining the mass production capabilities required to keep the lights on. Organizations, including GM, need to apply social and organizational network principles and practices to help accelerate entrepreneurial initiatives through intentional collaboration designed to empower the discovery of new ideas, develop those ideas rapidly, diffuse their adoption into the core operation, and thoughtfully disrupt the status quo. This case shares how GM applied organizational network analysis to reveal, develop, and leverage deliberate connections to cultivate adaptive space where the future of mobility could be invented and scaled.
Managing Internal and External Networks for Team Effectiveness
Authors: Maupin Cynthia , Park Semin 
Published: February 2025

Abstract
The ability to effectively leverage teams is critical for organizational success. One of the most important factors determining whether teams can capitalize on their full potential is whether they have the right social relationships, helping them coordinate internal and external team processes. This chapter describes how internal and external team networks influence team processes and performance. Moreover, it explains why teams must effectively manage their social connections such that they balance their internal networks (i.e., the social relationships among team members) and external networks (i.e., team leaders’ or team members’ social connections outside the team) to promote optimal team functioning and achieve success. Through a comprehensive exploration of these themes, we aim to equip leaders and teams with the knowledge and strategies needed to thrive in the networked organizations of the future.
Social Networks and Organizational Change Implementation
Authors: Vardaman James M , Zhou Feigu 
Published: February 2025

Abstract
Organizational change is an omnipresent part of modern organizational life but is often resisted by those tasked with its implementation. Social network applications can be a powerful tool for managers seeking to overcome resistance and successfully implement change. This chapter offers a review of the scholarly research on the role of social networks in organizational change implementation. The themes in the literature provide insight into how practicing managers can leverage social networks to foster effective implementation. These findings are ideal for use by scholar-practitioners or those who use research to solve practical problems and enable effective change implementation in their organizations. In reviewing the literature, several directions for future study emerged, including network contagion, gaining a multilevel understanding, and the role of differential network content. This chapter provides research-based insights for those tasked with bringing about change in their organizations.
Mayo Clinic’s Exploration of Barriers to Women in Leadership
Authors: Decker-Tonnesen Patrick , Zehner Deb , Bhagra Anjali 
Published: February 2025

Abstract
Mayo Clinic conducted an active organizational network analysis to provide novel insights into promoting inclusion, particularly in women’s advancement into leadership positions. Findings revealed gender disparities in network dynamics, with men often in central positions while women remained on the periphery of the network despite their contributions. This analysis also revealed challenges related to workload management, work–life balance, and obstacles new employees face in forming professional connections. Lessons learned underscore the importance of proactive strategies for addressing gender disparities, mitigating work challenges, and supporting new hires. This case illustrates Mayo Clinic’s commitment to equity and diversity in healthcare, utilizing network analysis to foster an engaged and inclusive environment in line with its mission and values.
Noise-Induced Randomization in Regression Discontinuity Designs
Authors: Eckles Dean , Ignatiadis Nikolaos , Wager Stefan , Wu Han 
Published: February 2025

Abstract
Regression discontinuity designs assess causal effects in settings where treatment is determined by whether an observed running variable crosses a prespecified threshold. Here we propose a new approach to identification, estimation, and inference in regression discontinuity designs that uses knowledge about exogenous noise (e.g., measurement error) in the running variable. In our strategy, we weight treated and control units to balance a latent variable of which the running variable is a noisy measure. Our approach is driven by effective randomization provided by the noise in the running variable, and complements standard formal analyses that appeal to continuity arguments while ignoring the stochastic nature of the assignment mechanism.