Search Results (25)

This paper identifies and critiques the way conceptions of fidelity and reproduction shape contemporary approaches to doctrine. As an interdisciplinary work, I draw tools from adaptation studies, queer theory, and theatrical practice. This allows me to demonstrate how, in recent debates over doctrinal expansion or inclusion, both liberal and conservative approaches operate within the logics of the fidelity urge and reproductive futurism. The result of these commitments is an emphasis on handing on the past to the future. The work of Paleo-Orthodox theologian Thomas Oden, and the recent debates over marriage rites in the Uniting Church in Australia serve as illustrations. In suggesting an alternative, I turn again to the theatrical practices of adaptation to resource new conceptions of fidelity (and, in turn, novelty and transgression) that resist a dichotomy between a stable, unified origin and dependent, derivative copies. In their stead, I connect the bisexual epistemology of Marcella Althaus-Reid to the task of doctrine. Such a move brings the present into focus, resisting the allure of reproduction through a doctrinal agenda of confusion, effusiveness, and obscenity. Doctrine, outside of the fidelity urge, is suggested to be an act of non-competitive adaptation, whose horizon is not bound by the past or beholden to the future but is directed to the needs of the present. Full article

The aim of this study is to explore the multidimensional relationships among factors influencing decision-making processes regarding women’s willingness to marry and childbirth in South Korea with recognizing the context of family development in East Asian cultures. To this end, we employed three different analytical approaches, including classification tree modeling, Cox proportional hazard modeling, and permutation feature importance evaluation. Leveraging longitudinal data specific to Korean women, we highlighted the significance of socio-economic factors in family development dynamics. Our findings revealed that financial stability played a crucial role. Unmarried women’s willingness to marry was influenced by their perspectives on economic stability, while households’ consumption capacity and financial capability determined childbirth decisions and timing. We observed a trend of postponed marriage among women in their marriageable age range, particularly those with stable economic situations, reflecting a prevalent trend of skepticism of marriage in Korean society. Additional findings related to values, cultural factors, and personal happiness also suggested the challenges that discourage younger generations from entering into marriage and starting families in South Korea. By offering insights into these dynamics, our study provides practical implications for addressing the obstacles faced, contributing to a better understanding of family development dynamics. Full article

Through case studies of Chinese–African couples living together with Chinese parents, this paper examines conflict coordination within intergenerational relationships in the same living environment. Among intergenerational families living in China and Africa, intergenerational differences as well as family relationship issues are sometimes inevitable. In addition, different families employ varying methods in order to alleviate intergenerational tension and maintain harmony within the family. Through fieldwork, it was found that there are three types of intergenerational relations: regulation by an intermediary, formal democracy, and excessive participation. Although all three models attempt to balance intergenerational voices and decision-making power, the first two models are generally present in relatively stable family relationships, while the last model consists of relatively negative aspects that actually add fuel to the fire when family conflicts arise. Although young Chinese–African couples and elderly Chinese parents expect family relations to function well, the contradictions brought about by power imbalances not only hurt the parent–child relationship, but more importantly affect the intimate marriage relationship and the upbringing of the children. Full article

A critical part of Automated Material Handling Systems (AMHS) is the task allocation and dispatching strategy employed. In order to better understand and investigate this component, we here present an extensive experimental evaluation of three different approaches with randomly generated, as well as custom designed, environment configurations. While previous studies typically focused on use cases based on highly constrained navigation capabilities (e.g., overhead hoist transport systems), our evaluation is built around highly mobile, free-ranging vehicles, i.e., Autonomous Mobile Robots (AMR) that are gaining popularity in a broad range of applications. Consequently, our experiments are conducted using a microscopic agent-based simulation, instead of the more common discrete-event simulation model. Dispatching methods often are built around the assumption of the asynchronous evaluation of an event-based model, i.e., vehicles trigger a cascade of individual dispatching decisions, e.g., when reaching intersections. We find that this does not translate very well to a fleet of highly mobile systems that can change direction at any time. With this in mind, we present formulations of well known dispatching approaches that are better suited for a synchronous evaluation of the dispatching decisions. The formulations are based on the Stable Marriage Problem (SMP) and the Linear Sum Assignment Problem (LSAP). We use matching and assignment algorithms to compute the actual dispatching decisions. The selected algorithms are evaluated in a multi-agent simulation environment. To integrate a centralised fleet management, a digital twin concept is proposed and implemented. By this approach, the fleet management is independent of the implementation of the specific agents, allowing to quickly adapt to other simulation-based or real application scenarios. For the experimental evaluation, two new performance measures related to the efficiency of a material handling system are proposed, Travel Efficiency and Throughput Effort. The experimental evaluation indicates that reassignment mechanisms in the dispatching method can help to increase the overall efficiency of the fleet. We did not find significant differences in absolute performance in terms of throughput rate. Additionally, the difference in performance between SMP- and LSAP-based dispatching with reassignment seems negligible. We conclude with a discussion, where we consider potential confounding factors and relate the findings to previously reported results found in the literature. Full article

Applying a sociocultural approach and poststructural feminist theories as its framework, this study analyzed interviews with nine Vietnamese marriage immigrant women in Taiwan to explore their employment experiences in the process of crossing national and cultural boundaries. These low-skilled women labored to accumulate essential capital and struggled to be workers in demand. They accepted the improved employment quality that was affected by gendered racialization. Stable employment empowered these women, and some even divorced to achieve personal autonomy. The results of this study suggest that employment was significant for the daily lives of these immigrant women. Obviously, their prior socialization in Vietnam and the life experiences and economic structure in Taiwan interacted to contribute to these women’s work experiences, and they continually developed agency and a voice to create their positions and life meanings by participating in the Taiwanese labor market. This study recommends further investigation of marriage immigrant women’s identities and voices in the workplace and their expression of sexuality and femininity in employment. Full article

This paper studies the integration of data collection and offloading for maritime Internet of Things (IoT) systems with multiple unmanned aerial vehicles (UAVs). In the considered multi-UAV maritime IoT system, the UAVs act as the aerial base stations to complete the missions of data collection from buoys and data offloading to the offshore base station (OBS). In this case, the UAVs need to adaptively select the mission mode between data collection and data offloading according to the network resources and mission requirements. In this paper, we aimed to minimize the completion time of data collection and offloading missions for all UAVs by jointly optimizing the UAV trajectories, mission mode selection, transmit power of buoys, and association relationships between the UAVs and buoy/OBS. In order to solve the mixed-integer non-convex minimization problem, we first designed a multi-agent deep reinforcement learning algorithm based on a hybrid discrete and continuous action space to preliminarily obtain the UAV trajectories, mission mode selection, and the transmit power of buoys. Then, we propose an algorithm based on the stable marriage problem to determine the buoy–UAV and UAV–OBS association relationships. Finally, the simulation results show that the proposed algorithms can effectively shorten the total mission completion time of data collection and offloading for the multi-UAV-assisted maritime IoT system. Full article

Identifying users across social media has practical applications in many research areas, such as user behavior prediction, commercial recommendation systems, and information retrieval. In this paper, we propose a multiple salient features-based user identification across social media (MSF-UI), which extracts and fuses the rich redundant features contained in user display name, network topology, and published content. According to the differences between users’ different features, a multi-module calculation method is used to obtain the similarity between various redundant features. Finally, the bidirectional stable marriage matching algorithm is used for user identification across social media. Experimental results show that: (1) Compared with single-attribute features, the multi-dimensional information generated by users is integrated to optimize the universality of user identification; (2) Compared with baseline methods such as ranking-based cross-matching (RCM) and random forest confirmation algorithm based on stable marriage matching (RFCA-SMM), this method can effectively improve precision rate, recall rate, and comprehensive evaluation index (F1). Full article

We studied the stable marriage problem with dynamic preferences. The dynamic preference model allows the agent to change its preferences at any time, which may cause instability in a matching. However, preference changing in SMP instances does not necessarily break all pairs of an existing match. Sometimes, only a few couples want to change their partners, while others choose to stay with their current partners; this motivates us to find stable matching on a new instance by updating an existing match rather than restarting the matching process from scratch. By using the update mechanism, we try to minimize the revision cost when rematching occurs. The challenge when updating a matching is that a cyclic process may exist, and stable matching is never achieved. Our proposed mechanism can update a match and avoid the cyclic process. Full article

Scholars have assumed that as gender revolutions are completed and societies achieve advanced levels of gender egalitarianism, married persons become happier, and marriages become stable. This study investigates how the norms about gender roles are associated with marital instability. The analysis is based on two propositions: (1) marital dissolution is an outcome of two rather distinct processes, deterioration of marital quality and formation of a decision to leave a marriage, and (2) the antithesis of advanced gender egalitarianism is a set of lingering male breadwinner norms, not gender inequality often manifested by working women performing second shifts. The data are from 68 national surveys conducted in 2002 and 2012 through ISSP coordination, and the sample of person-level analysis is restricted to ages 30–49, supposedly in the life cycle stages of family formation and expansion. The norms of gender roles are classified into four types: traditional norm, prescribing gendered division of labor; lingering male breadwinner norm, emphasizing men as the primary breadwinners while allowing flexibility of women’s roles; super woman norm, prescribing women to perform double roles; and egalitarian norm, emphasizing equal sharing of roles. At the country level, aggregate variables were constructed by calculating the percentage of adults who held each type of norm. The results strongly support the prediction that the male breadwinner norm at the societal level is detrimental to marital quality, while persons holding the egalitarian norm are most satisfied with their family lives. Full article

In high-income, low-fertility (HILF) settings, the mother’s partner is a key provider of childcare. However, it is not clear how mothers without partners draw on other sources of support to raise children. This paper reports the findings from a survey of 1532 women in the United Kingdom and the United States, in which women described who provided childcare for a focal child and how frequently they did so. We use multivariate Bayesian regression models to explore the drivers of support from partners, maternal kin, and other allomothers, as well as the potential impact of allomothering on women’s fertility. Relative to mothers who are in a stable first marriage or cohabitation, mothers who are unpartnered rely more heavily on fewer maternal kin, use more paid help, and have networks which include more non-kin helpers. Repartnered mothers received less help from their partners in the UK and less help from maternal kin in both countries, which US mothers compensated for by relying on other helpers. While repartnered mothers had higher age-adjusted fertility than women in a first partnership, allomaternal support was not clearly related to the mother’s fertility. These findings demonstrate the importance of partners but also of allomothering more broadly in HILF settings. Full article

Deployment of unmanned aerial vehicles (UAVs) as aerial base stations (ABSs) has been considered to be a feasible solution to provide network coverage in scenarios where the conventional terrestrial network is overloaded or inaccessible due to an emergency situation. This article studies the problem of optimal placement of the UAVs as ABSs to enable network connectivity for the users in such a scenario. The main contributions of this work include a less complex approach to optimally position the UAVs and to assign user equipment (UE) to each ABS, such that the total spectral efficiency (TSE) of the network is maximized, while maintaining a minimum QoS requirement for the UEs. The main advantage of the proposed approach is that it only requires the knowledge of UE and ABS locations and statistical channel state information. The optimal 2-dimensional (2D) positions of the ABSs and the UE assignments are found using K-means clustering and a stable marriage approach, considering the characteristics of the air-to-ground propagation channels, the impact of co-channel interference from other ABSs, and the energy constraints of the ABSs. Two approaches are proposed to find the optimal altitudes of the ABSs, using search space constrained exhaustive search and particle swarm optimization (PSO). The numerical results show that the PSO-based approach results in higher TSE compared to the exhaustive search-based approach in dense networks, consuming similar amount of energy for ABS movements. Both approaches lead up to approximately 8-fold energy savings compared to ABS placement using naive exhaustive search. Full article

The simulation of population dynamics and social processes is of great interest in nonlinear systems. Recently, many scholars have paid attention to the possible applications of population dynamics models, such as the competitive Lotka–Volterra equation, in economic, demographic and social sciences. It was found that these models can describe some complex behavioral phenomena such as marital behavior, the stable marriage problem and other demographic processes, possessing chaotic dynamics under certain conditions. However, the introduction of external factors directly into the continuous system can influence its dynamic properties and requires a reformulation of the whole model. Nowadays most of the simulations are performed on digital computers. Thus, it is possible to use special numerical techniques and discrete effects to introduce additional features to the digital models of continuous systems. In this paper we propose a discrete model with controllable phase-space volume based on the competitive Lotka–Volterra equations. This model is obtained through the application of semi-implicit numerical methods with controllable symmetry to the continuous competitive Lotka–Volterra model. The proposed model provides almost linear control of the phase-space volume and, consequently, the quantitative characteristics of simulated behavior, by shifting the symmetry of the underlying finite-difference scheme. We explicitly show the possibility of introducing almost arbitrary law to control the phase-space volume and entropy of the system. The proposed approach is verified through bifurcation, time domain and phase-space volume analysis. Several possible applications of the developed model to the social and demographic problems’ simulation are discussed. The developed discrete model can be broadly used in modern behavioral, demographic and social studies. Full article

The Stable Fixtures problem (Irving and Scott (2007)) is a generalized matching model that nests the well-known Stable Roommates, Stable Marriage, and College Admissions problems as special cases. This paper extends a result of the Stable Roommates problem to demonstrate that a class of homophilic preferences with an appealing psychological interpretation is sufficient to ensure that starting from an arbitrary matching, a decentralized process of allowing the sequential matching of randomly chosen blocking pairs will converge to a pairwise-stable matching with probability one. Strategic implications of this class of preferences are examined and further possible generalizations and directions for future research are discussed. Full article

The term piracy marks a slippery category in early modern England: as a legal denomination, it describes the feats of armed robbery at sea for which pirates were prosecuted but their state-sanctioned counterparts, privateers, were not; in a seaman’s professional life, being a pirate was often a phase rather than a stable marker of self-identification. Like their real-life models, literary pirates are contradictory creatures—they shed their pirate identity as quickly as they have adopted it, are used for veiled socio-political commentary, or trimmed to size in order to fit generic constraints. The slipperiness of the pirate has made him (and sometimes her) an attractive figure for early modern playwrights. I argue that John Fletcher and Philip Massinger appropriate the discursive instability of piratical individuals for their pirate plays. Rather than looking at the ideological and political implications of piracy, I analyze the pirate figures in Fletcher and Massinger’s The Double Marriage (1621) and The Sea Voyage (1622) as well as in Massinger’s The Renegado (1623–1624) and The Unnatural Combat (1624–1625) as literary creations. Alternating between the heroic and the villainous, their pirates are convenient plot devices that are attuned to the evolving generic conventions of the early Stuart stage in general and early Stuart tragicomedy in particular. Full article

Sweat pores on the human fingertip have meaningful patterns that enable individual identification. Although conventional automatic fingerprint identification systems (AFIS) have mainly employed the minutiae features to match fingerprints, there has been minimal research that uses sweat pores to match fingerprints. Recently, high-resolution optical sensors and pore-based fingerprint systems have become available, which motivates research on pore analysis. However, most existing pore-based AFIS methods use the minutia-ridge information and image pixel distribution, which limit their applications. In this context, this paper presents a stable pore matching algorithm which effectively removes both the minutia-ridge and fingerprint-device dependencies. Experimental results show that the proposed pore matching algorithm is more accurate for general fingerprint images and robust under noisy conditions compared with existing methods. The proposed method can be used to improve the performance of AFIS combined with the conventional minutiae-based methods. Since sweat pores can also be observed using various systems, removing of the fingerprint-device dependency will make the pore-based AFIS useful for wide applications including forensic science, which matches the latent fingerprint to the fingerprint image in databases. Full article