Different Types Of Relationships Research Articles

INTERGENERATIONAL BONDS ACROSS THE EARLY YEARS OF MARRIAGE

Abstract As adults embark upon marriage, forming their own new nuclear families, they often remain connected to their families of origin. Nevertheless, spouses’ relationships with their parents and in-laws are likely to change across the early years of marriage. Given that empirical studies to date are typically limited to only a couple of measurement occasions, however, the stability and impact of such changes are unclear. Using Repeated Measures Latent Class Analyses, the present study addresses this gap by identifying classes of spouses (N=375 dyads) experiencing different types of relationships with their parents and in-laws across the first 9 years of marriage. Further, correlates and consequences of spouses’ longitudinal sentiment profiles were also examined. Three sentiment profiles (i.e., Mostly Helpful, Mostly Ambivalent, Mostly Indifferent, Mostly Difficult) emerged when looking at spouse’s sentiments toward their own parents and for husbands’ sentiments towards their in-laws, whereas 4 profiles (i.e., Mostly Helpful, Mostly Ambivalent, Mostly Indifferent, Mostly Difficult) were found for wives’ sentiments towards their in-laws. Mostly Ambivalent sentiment profiles showed the least stability, and spouses showed significantly higher odds of being in the Mostly Ambivalent class if they were living in a multigenerational household and if the wife was a 2nd generation immigrant. Spouses whose marriages dissolved showed significantly higher odds of being in the Mostly Indifferent, Mostly Ambivalent, and Mostly Difficult classes, compared to the Mostly Helpful class. These results provide an important starting point for future research aiming to understand how intergenerational bonds may promote or hinder successful marriages.

SOCIAL RELATIONSHIPS AND DUAL FUNCTIONALITY IN LATER LIFE

Abstract Longer lives are often accompanied by greater risk of cognitive and physical impairments, but we investigate whether social relationships reduce the risk of those impairments. We examine dual functionality – the absence of both dementia and activities of daily living impairments – and draw upon stress process and social integration theories to examine the impact of positive and negative dimensions of relationship quality with friends and family to better understand how social factors may affect how long people maintain both their physical and cognitive functioning in later life. We use nationally representative panel data from the Health and Retirement Study (2006-2016, N=6,985) and Weibull accelerated failure-time models. Higher strain with family members and with friends was associated with a loss of dual functionality at earlier ages (Time Ratio = .97 [95% CI: .95, .99] and TR = .96 [CI: .94, .98], respectively). Greater social support from family members was beneficial, related to a longer time as dual functional (TR = 1.04, CI: 1.02, 1.06); however, more support from friends was related to loss of dual functionality at earlier ages (TR = .98, CI: .96, .99). Findings reveal the implications of social support and strain in different types of relationships for dual functionality.

Quantitative stock portfolio optimization by multi-task learning risk and return

Selecting profitable stocks for investments is a challenging task. Recent research has made significant progress on stock ranking prediction to select top-ranked stocks for portfolio optimization. However, the stocks are only ranked by predicted stock return, ignoring the stock price volatility risk — a critical aspect for stock selection and investments. Moreover, they preliminarily attempted to capture the effects of related stocks from a singular relation, disregarding the rich information regarding multiple spillover effects from related stocks and the distinctions in effects among various relations. Thus, we propose a risk and return multi-task learning model with a heterogeneous graph attention network (HGA-MT) to predict stock ranking for portfolio optimization. First, to aggregate the multiple spillover effects of related stocks, we introduce graph convolutional networks to fuse the effects of related stocks in each relation and design an attention network to allocate varying weights to different types of relationships. Second, we use a multi-task learning paradigm to learn stock return and volatility risks jointly. The stock ranking results are calculated by simultaneously considering the risk and return. Thus, Top-K ranked stocks are recommended in the portfolio for the next trading day to achieve higher and more stable profits. Extensive experiments prove that HGA-MT outperforms previous state-of-the-art methods in stock ranking and backtesting trading evaluation tasks.

METAVERSE: MODEL CRIMINAL CODE

The Scientific and Technical Revolution 5.0 and WEB 3.0 technologies create conditions for the renovation of various forms of social relations with the use of virtual and augmented reality technologies in the metaverse. According to the proposed theory, the legal regulation of social relations in the metaverse requires the development of a comprehensive electronic jurisdiction based on the latest basic legislation. The formation of legal regulation of the metaverse is a prerequisite for the need to form an electronic jurisdiction of the metaverse, which will include sectoral Metaverse Codes. The metaverse, as the electronic society of the future, does not yet have clear legal boundaries, and the task of scholars is to predict and outline with sufficient certainty the future contours of legal authority for virtual environments. Today, discussions in the scientific community about the feasibility and necessity of legal regulation of the metaverse often revolve around several key issues. First, there is the question of what legal framework should be applied in the metaverse and how conflicts between different legal systems should be resolved. Second, there is a debate about whether current regulatory bodies in the physical world have the capacity to effectively regulate the metaverse through existing laws and regulations. Third, there is the question of how to deal with offences committed in the virtual environment, and whether they should be dealt with under existing tort or criminal law, or whether a separate cross-border electronic jurisdiction should be created. The regulation of social relations in the metaverse should focus on one central goal: to clearly define the status of electronic entities, subjects and objects, to establish their rights, duties and responsibilities, and to define the different types of relations between virtual entities, subjects and objects within a given metaverse, as well as between different metaverses within an electronic jurisdiction and in a cross-border context. An essential component of the Metaverse Electronic Jurisdiction is a Metaverse Model Criminal Code that will outline the norms and offences applicable to analogue, hybrid and electronic jurisdictions. This code will define the types of socially harmful acts or crimes and the corresponding criminal penalties that will be applied within the metaverse. The formation of the electronic jurisdiction of the metaverse and the development of a Metaverse Model Criminal Code is a current scientific and legal issue.

Cognitive empathy mediates the relationship between gray matter volume size of dorsomedial prefrontal cortex and social network size: A voxel-based morphometry study

Social networks are an important factor in developing and maintaining social relationships. The social brain network comprises brain regions that differ in terms of their location, structure, and functioning, and these differences tend to vary among individuals with different social network sizes. However, it remains unknown how social cognitive abilities such as empathy can affect social network size. The goal of our study was to examine the relationship between brain regions in the social brain network, empathy, and individual social network size by using the Social Network Index, which measures social network diversity, size, and complexity by assessing 12 different types of relationships. We performed voxel-based morphometry and mediation analyses using data from questionnaires and structural magnetic resonance imaging data in a sample of 204 young adults. Our findings showed that the gray matter volume of the dorsomedial prefrontal cortex (dmPFC) was inversely associated with social network size and cognitive empathy mediated this association, suggesting that decreased gray matter volume in the dmPFC is associated with greater utilization of cognitive empathy, which, in turn, seems to increase social network size. A potential mechanism explaining this inverse relationship could be cognitive pruning, a phenomenon that occurs in the brain between early adolescence and adulthood, but future longitudinal studies are needed. In conclusion, our findings provide information about the neurocognitive mechanisms involved in the formation and maintenance of social networks.

The Joys and Stresses of Social Relationships and the Effect on Resiliency During the COVID-19 Pandemic: A National Survey of U.S. Older Adults.

The coronavirus disease 2019 pandemic placed unprecedented stress on older adults. Resiliency could mitigate deleterious effects of pandemic stressors. We described trends in resilience among U.S. adults aged 50-80 years approximately one and a half years after the onset of the pandemic, compared with before the pandemic, and evaluated associations between relationships and resilience. Data were from the National Poll on Healthy Aging (N = 2,100) in August 2021. Respondents rated their resiliency as compared with before the pandemic (more, about the same, or less) and different types of relationships (spouse/partner, friends, and neighbors) as sources of joy and/or stress during the pandemic (a lot, some, very little, and not at all). Multinomial logistic regressions (complete-case analysis) estimated the relationships between each joyful and stressful relationships and resiliency. Most participants reported feeling as resilient as before the pandemic (70.6%) with 14.5% feeling less resilient. More women than men felt less resilient than before the pandemic (16.7% vs 12.8%, p = .006). Feeling a lot of stress from one's spouse or neighbors was associated with increased likelihood of feeling less resilient than before the pandemic (odds ratio [OR] = 3.7; 95% confidence interval [CI]: 1.8, 7.7 and OR = 4.5; 95% CI: 1.5, 13.9, respectively), which was stronger among women (OR = 15.1; 95% CI: 4.8, 45.6) than men (OR = 1.03; 95% CI: 0.4, 2.7). Social relationships may have been more important for women than for men in supporting resiliency during the pandemic. Understanding patterns of resiliency can help to inform policymaking and support the well-being of older adults.

Construction of a knowledge graph for breast cancer diagnosis based on Chinese electronic medical records: development and usability study

BackgroundElectronic medical records (EMRs) contain a wealth of information related to breast cancer diagnosis and treatment. Extracting relevant features from these medical records and constructing a knowledge graph can significantly contribute to an efficient data analysis and decision support system for breast cancer diagnosis.MethodsAn approach was proposed to develop a workflow for effectively extracting breast cancer-related features from Chinese breast cancer mammography reports and constructing a knowledge graph for breast cancer diagnosis. Firstly, the concept layer of the knowledge graph for breast cancer diagnosis was constructed based on breast cancer diagnosis and treatment guidelines, along with insights from clinical experts. .Next, a BiLSTM-Highway-CRF model was designed to extract the mammography features, which formed the data layer of the knowledge graph. Finally, the knowledge graph was constructed by combining the concept layer and the data layer in a Neo4j graph data platform, and then applied in visualization analysis, semantic query and computer assisted diagnosis.ResultsMammographic features were extracted from a total of 1171 mammography examination reports. The overall extraction performance of the model achieved an accuracy rate of 97.16%, a recall rate of 98.06%, and a F1 score of 97.61%. Additionally, 47,660 relationships between entities were identified based on the four different types of relationships defined in the concept layer. The knowledge graph for breast cancer diagnosis was constructed after inputting mammographic features and relationships into the Neo4j graph data platform. The model was assessed from the concept layer, data layer, and application layer perspectives, and showed promising results.ConclusionsThe proposed workflow is applicable for constructing knowledge graphs for breast cancer diagnosis based on Chinese EMRs. This study serves as a reference for the rapid design, construction, and application of knowledge graphs for diagnosis and treatment of other diseases. Furthermore, it offers a potential solution to address the issues of limited data sharing and format inconsistencies present in Chinese EMR data.

Support given by health professionals before and after a patient's death to relatives involved in general palliative care at home in Sweden: Findings from the Swedish Register of Palliative Care.

General palliative care (PC) is provided more at home, leading to increased involvement of relatives. Although support for relatives is a fundamental component of PC, there are deficiencies in the support provided to relatives when general PC is provided at home. This study aimed to describe the support provided by health professionals before and after a patient's death to relatives involved in general PC at home. A cross-sectional register study was implemented, with data from the Swedish Register of Palliative care. The sample consisted of 160 completed surveys from relatives who had been involved in general PC at home, with 160 related surveys answered by health professionals. Only the questions about support to relatives were used from the surveys. The findings showed that although many relatives appear to receive support in general PC at home, not all relatives receive optimal support before or after a patient's death. The findings also indicated differences in whether relatives received some support before and after a patient's death depending on the type of relative. There were also differences in responses between health professionals and relatives regarding if relatives received counseling from a doctor about whether the patient was dying. There is potential for improvements regarding support for relatives, especially after a patient's death, which has been confirmed in previous studies. The differences in whether relatives received support before and after a patient's death depending on the type of relative highlight the need for future research on how to support different types of relatives before and after a patient's death when general PC is provided at home.

An analytic strategy for data processing of multimode networks

Complex network data structures are considered to capture the richness of social phenomena and real-life data settings. Multipartite networks are an example in which various scenarios are represented by different types of relations, actors, or modes. Within this context, the present contribution aims at discussing an analytic strategy for simplifying multipartite networks in which different sets of nodes are linked. By considering the connection of multimode networks and hypergraphs as theoretical concepts, a three-step procedure is introduced to simplify, normalize, and filter network data structures. Thus, a model-based approach is introduced for derived bipartite weighted networks in order to extract statistically significant links. The usefulness of the strategy is demonstrated in handling two application fields, that is, intranational student mobility in higher education and research collaboration in European framework programs. Finally, both examples are explored using community detection algorithms to determine the presence of groups by mixing up different modes.

The phenomenon of attachment and feeding of unfed ticks (ixodoidea) on fed and feeding specimens of the same or different species: terminological issues

The feeding by unfed ticks on engorged or feeding specimens of the same (or different) species has been repeatedly documented in laboratory colonies of ticks of the subfamily Ixodoidea. We review the lack of terminological consistency in descriptions of this phenomenon, especially in Russian-language papers. The term “cannibalism” is clearly inapplicable, since it necessarily involves the destruction of the victim by way of consumption (which concerns only specimens of the same species), whereas the tick specimens used as a source for feeding by other ticks typically remain viable. “Homovampirism” (омовампиризм), which is found exclusively in the Russian-language literature, is also unsuitable, “vampirism” being a folkloric word and as such inappropriate for use in the scientific literature. The term “kleptoparasitism”, which appears to reflect the specificity of this phenomenon, is vague and covers many different types of relationships between living organisms. “Hyperparasitism” appears to be the most fitting name for this phenomenon widely used now by acarologists. When using this term, it would be necessary to specify whether the parasitism is conspecific or heterospecific.

Types of fiber and gut microbiota composition and diversity among arab females

ObjectivesDietary fiber is recognizedas an important nutrient for gut health. However, research on the relations of different types of fibers (soluble and insoluble) to the human microbiota health is limited. This study aimed to identify whether higher habitual intake of soluble and/or insoluble fiber have a different influence on the composition, diversity, and abundance of microbiota. MethodsWe examined the fecal microbial composition of 92 healthy females aged 18 and above using the novel shotgun metagenomics sequencing technique. The habitual fiber intake was determined using the Saudi food frequency questionnaire. Pearson’s correlation was used for the correlations between total, soluble, and insoluble fiber and gut microbiota. α- and β-diversities were applied to acquire the distinctions in the relative abundances of bacterial taxa. ResultsOur findings show that higher dietary fiber, particularly insoluble fiber, was significantly correlated with the abundances of Bacteroides_u_s, Bacteroides uniformis, and Lactobacillus acidophilus (r = 0.26, 0.29, 0.26, p-value < 0.05, respectively). Non-significant difference was noted in the microbial α-diversity and β-diversity in low and high soluble/insoluble dietary fiber. ConclusionsCurrent findings suggest that insoluble dietary-fiber intake is favorably correlated with the health of the human gut microbiota. However, further investigations are necessary to identify the effect of types of fiber on the specific species identified in this study.

Productive practices in Andean rural areas and their relationship to extractive markets (Atacama Desert, northern Chile, 1915–2019)

AbstractExtractivism has marked the history of Latin America whose operations are in rural territories inhabited mainly by indigenous populations. Mining has had a remarkable expansion in rural territories of the Andes. Critical studies of these processes have focused on the disruptive aspects and conflict between companies, local populations, and States. However, mining has also been intertwined with the territories based on contradictory relationships at different timescales. To examine this issue, we carried out a historical reconstruction of the productive practices of the Caspana community indigenous (northern Chile) and their different forms of connection with mining development. We combine diverse data sources and methodological approaches: oral histories obtained from ethnography, censuses, explorers’ records, and academic literature. We identify different types of relationships over time, according to the different forms of indigenous participation in the extractive markets and the deployment and rearrangement of diverse economic strategies by the indigenous population.

English/Spanish Relatives and Their Relative Information Structure: A View from Language Contact in Puerto Rico

The goal of this paper is to analyse the impact of Main Clause Phenomena (MCP) such as Negative Preposing (NPr) in four types of relative clauses, namely definite restrictive, indefinite restrictive, non-restrictive and kind-defining relative clauses, establishing a contrast between English and Spanish and discussing the interconnection of the two languages in a language contact situation such as the one observed in Puerto Rico. To this end, I have carried out an experiment with monolingual native speakers of the two languages (control groups), where they have to judge the grammaticality/acceptability of the different types of relatives when NPr takes place. In addition, the same task is carried out by a bilingual group of Puerto Ricans (PR). The main purpose was to detect any interference of one language upon the other one regarding the licensing conditions of NPr in relative clauses. The main empirical result shows that English makes a distinction in terms of acceptability between types of relatives with NPr, whereas in Spanish NPr is licensed in all types of relatives, and this situation seems to be mimicked in the language contact situation in Puerto Rico, though some crucial differences are detected which suggest that PR bilinguals have an integrated I-language (sensu López 2020). The results support the idea that there are two big groups of relatives, namely asserted (very similar to root clauses) and non-asserted relatives. The latter include definite restrictive relatives, whereas the former include non-restrictive relatives, kind-defining relatives and indefinite restrictive relatives. Based on discourse-feature inheritance, intervention and the projection of a factive operator in non-asserted relatives (subject to parametric variation), I argue that the PR results show that when processing one specific language they may apply a syntactic rule of the other language, which I take to support the integrationist view of bilingualism.

Comparing the Substitution of Nuclear Energy or Renewable Energy for Fossil Fuels between the United States and Africa

This study explores the differences in energy consumption between the highly economically developed United States and economically underdeveloped Africa. This study conducted the parameter estimation and equilibrium analysis of a Lotka–Volterra model to investigate the short-term and long-term relations of different types of energy, respectively. The parameter estimation results show that nuclear energy consumption increases the consumption of fossil fuels in the United States but decreases fossil fuel consumption in Africa. This implies that Africa can replace fossil fuels with nuclear energy in the short run. Given the current state of energy consumption, the results of the equilibrium analysis indicate that the United States’ nuclear and fossil fuel consumption will reach a stable long-term equilibrium. However, Africa will experience significant fluctuations in nuclear and fossil fuel consumption, and both nuclear and fossil fuel consumption will eventually be depleted. The highly economically developed United States arranges energy consumption in an environmentally friendly way and reshapes economies to achieve sustainability, so its long-term energy consumption is more stable than economically underdeveloped Africa. Accuracy analysis results show that the nuclear or renewable energy consumption predicted by the Lotka–Volterra model is more accurate than that of a Bass model since the Lotka–Volterra model considers energy interactions.

Comparative network analysis as a new approach to the editorship profiling task: A case study of the Mishnah and Tosefta from Rabbinic literature

AbstractSocial network analysis of characters in historical works is a popular research methodology in the study of historical literature. This article proposes using this methodology to characterize and comparatively analyze editing styles of similar historical literary works to determine whether they were edited by the same hand. To that end, the study proposes constructing a network of characters for each of the works being studied and to compute standard statistical measures for these networks, thus producing a network-based profile for the editing style of each work, which can be compared to the profiles of various other works. To determine the effectiveness of this new approach, it was tested on two similar works from the realm of Rabbinic literature—the Mishnah and the Tosefta. Our findings show that despite the abundant structural, thematic, and linguistic similarities of the works, their network-based profiles demonstrated clear differences between them with respect to various parameters, like the degree of connectivity, density, and centrality of the networks and their communities, and also with respect to the usage of different types of relationships in each network. These differences are reflected in the network features of the works, rather than in their texts, and so it would be difficult to identify them using direct stylometric analysis on the texts of the works, especially given the stylistic and thematic similarity between them. The approach presented in this article forms a basis for developing automatic classifiers to identify different editors and editing styles based on works’ network-based profiles.

Meta-path infomax joint structure enhancement for multiplex network representation learning

Network representation learning has achieved significant success in homogeneous network data analysis in recent years. Nevertheless, they cannot be directly applied in multiplex networks. To overcome the characteristic of heterogeneity in multiplex networks, several emerging methods utilize the concept of meta-path to denote different types of relations and obtain the node representations for each type of meta-path individually. Despite the remarkable progress, there still exist two important issues in the previous approaches. First, the complementary information between different types of meta-paths that may make the representations more discriminative, is rarely investigated. Second, current studies generally learn multiplex node representations based on the original graph structure, while overlooking the latent relations between nodes. To address the aforementioned issues, in this paper, we propose a novel model with Meta-path Infomax joint Structure Enhancement (MISE) for multiplex network representations. Specifically, we first develop a meta-path infomax mechanism, which maximizes the mutual information between local and global meta-path representations, making the node representation contain more complementary information. Additionally, we propose a graph structure learning module that captures the implicit correlations between nodes to construct the latent graph structure. Such structure enhancement is a simple yet surprisingly effective technique to learn high-quality representations. We sufficiently evaluate the performance of our proposal on both supervised and unsupervised downstream tasks. Comprehensive experimental results show that our MISE achieves a promising boost in performance on a variety of real-world datasets for multiplex network representation learning.

Having a Partner or Living with a Partner: Differences in Life Satisfaction and Mental Health

Using longitudinal data from Australia we compare the wellbeing effects of transitions both into and out relationships, using two different measures of wellbeing: life satisfaction and mental health. We distinguish between the formation, and ending of, three different types of relationships across three years: Living-apart-together (LAT), cohabitations, and marriages. For those in LAT relationships, we find they are quite distinct from other ‘single’ people. Starting, or ending, a LAT relationship has a significant impact on an individual’s wellbeing. We also find that transitions into relationships, and transitions out of relationships, do not have equivalent effects. Generally, moving from a relationship to being single had a more significant negative impact on life satisfaction and mental health, than moving into a relationship had a positive impact. These findings suggest that having an intimate partner, even one who is not co-resident, is related to higher levels of wellbeing compared to having no partner.

Cooperating with Different Types of Strangers: The Influence of Guanxi Perception, Trust, and Responsibility.

This study explored people's estimation of cooperative intention when paired with people with different types of relationships, and the mediating roles of trust and responsibility between guanxi perception and the estimation of cooperative intention. We recruited 398 university students from the Greater Bay Area of China to complete two public goods dilemma experiments. Study 1 manipulated the type of partner to be either family member, classmate, and stranger, representing different types of guanxi. Study 2 manipulated the type of partner to be either stranger with intermediary, stranger within ingroup, and complete stranger. In both studies, the mediating roles of trust and responsibility in the relationship between guanxi perception and the estimation of cooperative intention were tested. The results of study 1 showed that the participants' estimation of cooperative intention with a family member was higher than with acquaintances or with strangers. In study 2, the estimation of cooperative intention with stranger with intermediary was higher than with a stranger within one's ingroup or with a complete stranger. Multivariate analysis verified the mediating effects. The results are discussed with reference to why Chinese people treat different types of guanxi distinctly, especially to different types of strangers, and how guanxi perception, trust, and responsibility work together to the influence of the estimation of cooperative intention.

Relational legal consciousness in the one-child nation

AbstractThis article draws from a qualitative study of people's responses to China's population control policies to analyze the relational formation of legal consciousness within and across different types of relationships. It demonstrates that our expectations of others and theirs of us regarding how to respond to law change significantly when we situate ourselves in different types of relationships. The fluid boundaries of relationships in Chinese society also make it essential to think and plan relationally and holistically across different types of relationships to come up with strategies to resist or comply with the law. During this process of relational formation of legal consciousness, law interacts with and reshapes social norms to determine the (un)availability of alternative mechanisms based on the individual's social and financial status.

Working With the Terminally Ill: An Exploration of the Experiences of Psychotherapists in Greece.

The present study explored mental health professionals' experiences of working with terminally ill patients in Greece, how they make sense of their lived experiences of working with the dying, and investigated how they relate to their personal and professional growth. Semi-structured interviews were conducted with five mental health professionals who work or have worked with terminally ill patients in Greece. Their responses were analyzed using Interpretative Phenomenological Analysis (IPA). The main themes that emerged were (1) Emergence of opportunities for growth and transformation; (2) Finding satisfaction and fulfillment; (3) Openly addressing the negative side of challenges; and (4) Tuning into the spiritual side. Overall, the participants emphasized the importance of the different types of relationships these experiences touched upon, and highlighted the effect of their line on work on the relationship with their patients, their relationships with significant others and coworkers, and their relationship with their own selves.