Types Of Relationships Research Articles

PSYCHOLOGICAL TYPES OF PARENTS’ ATTITUDE TOWARDS PUPILS OF SENIOR SCHOOL AGE AS DETERMINANTS OF CHILDREN’S AGGRESSIVENESS (IN A PARADIGM OF ADAPTIVE AND MALADAPTIVE FAMILY RELATIONSHIPS)

Parents’ orientation towards autonomy, collaboration, cooperation and the desire to build relationships with the child on a democratic basis, as a rule, does not cause manifestations of malignant aggressiveness of children. In terms of content, this educational strategy and the type of parental relationships are revealed in such a way: the parent is interested in the child’s affairs and plans, tries to help, empathizes, trusts him/her, respects and encourages him/her, and takes into account the child’s opinion. Cooperation is a psychologically optimal and socially desirable type of parental attitude towards children. Our research has shown that the reluctance or inability of parents to establish positive emotional connections with their children largely determines the nature of manifestations of children’s aggressiveness. We have identified indicators of emotional manifestations of parental attitudes towards children: sympathy-antipathy, acceptance-rejection, respect-disdain, rejection and refusal. In our empirical research we identified some main components of general manifestation of parental love: the interest in our life and the development of the child, the manifestation of responsibility and care, close attention to the child’s interests, problems and attitudes, awareness of his/her uniqueness, unconditional acceptance of him/her as the child is. With a lack of these components in the manifestations of parental attitude towards children, the child begins to consider every request or demand as a duty and show resistance. The role of deprivation of a child’s basic needs, which forms a hostile personality is incapable of establishing trusting relationships, and it has to be emphasized in our further research. We think, that according to the theories of childhood aggressiveness, the child’s desire to establish himself/herself with the help of a universal instrument of superiority, such as direct aggression, is explained by his/her experience of a feeling of inferiority associated with a deficiency of parental love. According to our empirical research, a child’s psychological discomfort is due to a lack of parental love, and it increases the destructive element in his/her person, leading to the formation of low self-esteem, aggressiveness, and a tendency toward auto-aggression. Rejection is the most unfavorable, socially and psychologically unacceptable type of parental attitude, indicative according to the development of destructive manifestations of aggressiveness in the period of childhood for senior pupils.

Exploring Interrelationships Among L2 Writing Subskills: Insights from Cognitive Diagnostic Models

ABSTRACT The purpose of this study was to explore the nature of interactions among second/foreign language (L2) writing subskills. Two types of relationships were investigated: subskill–item and subskill–subskill relationships. To achieve the first purpose, using writing data obtained from the writing essays of 500 English as a foreign language (EFL) students, the fit of the G-DINA model as general cognitive diagnostic model (CDM) was compared against a Wald-selected model (i.e., a model in which different CDMs such as DINA, DINO, A-CDM, LLM, and RRUM were selected for each item). To study cross-subskill impacts, two-way interactions between the subskills were estimated, and lens and scatter plots were checked. Subskill–item relationships showed that the subskills of L2 writing contribute additively and independently to the probability of successful performance. Furthermore, the loglinear analysis revealed that some of the subskills draw information from the other subskills. The plots showed that neglecting inter-subskill relationships would lead to misclassification of students.

Open relationships – challenges and dilemmas

Introduction and objective: Consensual non-monogamy (CNM) refers to various relationship types in which at least one partner, with the other’s consent, forms sexual and/or emotional connections with other people. In open relationships, partners are allowed to engage sexually with others, but emotional intimacy is reserved for the primary relationship, which takes precedence. The aim of this article is to gather the most up-to-date information on open relationships.Material and methods: A review of studies available on the PubMed platform (https://pubmed.ncbi.nlm.nih.gov/) was conducted, including articles with free full-text access that used the keywords: “open relationship”, “CNM” and "Consensual non-monogamy."Brief Description of the State of Knowledge: CNM includes open relationships, polyamory, polyfidelity, and swinging. Interest in open relationships has increased in recent years, with more people expressing curiosity about them than those actively participating. Men, individuals with high cognitive empathy, those less prone to jealousy, and those capable of experiencing compersion—the joy from a partner’s involvement with others—are particularly interested in open relationships. Summary: Research suggests potential benefits of CNM, including greater relationship and sexual satisfaction compared to monogamous arrangements. However, open relationships can also pose challenges such as social stigma, the potential breakdown of the primary relationship, or complications in parenting for those involved. Despite growing interest, CNM and phenomena like compersion remain under-researched, providing an open field for further investigation into their dynamics and impact on individual and relational well-being.

The Role of Perpetrator Attractiveness and Relationship Dynamics on Perceptions of Adolescent Sexual Grooming

ABSTRACT Sexual grooming, exacerbated by increased internet and social media usage , is a growing concern. Past researchers have found differences in perceptions of sexual grooming based on gender-pairing, perpetrator attractiveness, as well as perpetrator and victim age and gender. Our study extends this research by exploring how the attractiveness of the perpetrator and their relationship to the victim – specifically, whether they are a teacher, religious leader, or family friend – affects perceived grooming severity and recommended legal response. Contrary to expectations, relationship type, but not attractiveness, impacted perceptions. Vignettes involving family friends were perceived as less harmful compared to those involving teachers or religious leaders, highlighting nuanced responses based on the perpetrator’s role. These findings suggest that grooming perceptions are heavily influenced by the nature of the relationship rather than the attractiveness of the perpetrator, indicating a need for policies and educational initiatives that address these complexities to enhance the detection and prevention of sexual grooming.

DGTNet：dynamic graph attention transformer network for traffic flow forecasting

Abstract Graph-based traffic flow prediction plays a crucial role in urban traffic management and planning. In this paper, we propose a novel Dynamic Graph Attention Transformer Network (DGTnet), which is designed to address the issue of inadequately integrating of temporal and spatial dimensions in traditional models. DGTnet maintains temporal continuity while revealing the complex dynamic relationships between key nodes in the urban traffic system, capturing the periodic changes in the rhythm of city life. Specifically, this study adopts adaptive signal decomposition technology to decompose traffic data into multiple intrinsic mode functions (IMFs), effectively capturing the dynamic changes in traffic flow. This decomposition method is key to the implementation of DGTnet dynamic graph construction, enabling the analysis of traffic flow at different time scales, thereby providing a new perspective for traffic flow prediction research. In the traffic prediction module, we comprehensively consider node, edge, and graph structural information, adopting a multi-head self-attention mechanism to achieve direct cross-modeling in both temporal and spatial dimensions. Finally, we introduce a position-wise feed forward network layer to integrate different types of data and capture nonlinear relationships. The experimental results, based on the public transportation network data sets METR_LA, PEMS_BAY, PEMS03 and PEMS07, demonstrate that DGTNet exhibits notable enhancements in three evaluation indicators, namely the Mean Absolute Percentage Error (MAPE), the Root Mean Square Error (RMSE) and the Mean Absolute Error (MAE). The pertinent code has been made available for public access at https://github.com/chenjing0616/DGTNet.

The Impact of Vocabulary Clustering on Facilitating Vocabulary Development Among Saudi EFL Learners

The current study sought to investigate how organizing new vocabulary through semantic, ‎thematic, or unrelated sets could affect the learning process among Saudi EFL learners. The ‎majority of EFL teachers and materials writers seem to introduce and cluster new words according to a ‎particular type of semantic relationship (e.g., vegetables, body organs, car parts, or house parts) or a thematical relationship (e.g., a hotel room reservation, visiting a doctor's clinic, going to the post office, or at the train station). ‎Participants in the current research were 149 EFL students from the Preparatory Year Program (PYP) at Al-Imam Mohammad Ibn Saud Islamic University (IMISIU), Riyadh, Saudi Arabia. The design of this study was a pretest-treatment and posttest-delayed post-test. Two ‎types of clustering of new vocabulary were explored: semantically related sets and semantically ‎unrelated sets, which were constructed to identify how organizing new vocabulary could affect ‎the learning process among Saudi EFL learners. The findings of the study showed that both semantically ‎related (SR) and semantically unrelated (SU) sets ‎ seemed to help in learning new words. Nonetheless, ‎those new words behaved differently one week after the treatment. Moreover, the SR group scored significantly better on both delayed tests than ‎their ‎counterparts. Furthermore, the study's outcomes failed to indicate any interfering effect of ‎teaching and studying semantically relevant terms simultaneously in an actual classroom setting.‎ This study concluded with recommendations for teaching and learning programs to ‎develop ‎students' conceptual understanding of organizing new vocabulary that affects the learning ‎process among Saudi EFL learner’s context.‎

DIGITAL PLATFORMS AS A CONDITION FOR INCREASING INNOVATION AND COMPETITIVENESS OF SMALL AND MEDIUM ENTERPRISES IN THE EU

The purpose of the study is to consider the potential of digital platforms as an environment for the formation of new types of relationships to promote the development of innovation and competitiveness of small and medium-sized enterprises in the EU. The main goal of digitalization, as defined in the normative documents of the European Commission, is to improve the use of the potential of information and communication technologies to promote innovation, support economic development and stimulate scientific and technological progress in general, and ultimately contribute to the formation of “smart”, sustainable and inclusive growth of the region’s economy A set of important measures is already being implemented and developed. Among them, the creation of a single digital market, which is considered as a primary goal of the European Commission strategy to ensure guaranteed access to online activities for citizens and businesses in a fair competitive environmen. Measures are being taken to reduce the cost of intercountry shipping of goods purchased online, the prices of which are 3-5 times higher than those for transactions carried out within individual countries. In order to enable the digital transformation of European industry and services, particular attention will be paid to the development of cross-sector, integrated digital platforms and large-scale pilot platforms for experimentation and co-creation with users. We define a digital platform as an organisation that offers digital services facilitating interactions between two or more different but interdependent groups of users (suppliers and individuals) via the Internet and that generate network effects. The following are characteristics of a systemically important digital platform: operating in a majority of EU countries; having significant influence on the internal market, namely the annual turnover of a group of companies; the ability to connect a large number of users with a large number of suppliers of goods (services), namely more than 45 million monthly active users located in the EU, or more than 10,000 commercial users located in the EU in the last financial year); having established economic power and stable income from intermediary services provided in the EU. In the presence of indirect network effects, the volume of demand for the platform's services will depend, among other things, on the price level and the economic model of the ecosystem. Also, when developing the EU draft law on digital markets, the European Commission, while formulating the characteristics of digital ecosystems (large digital platforms), noted the importance of having a plurality of digital services. The concept of a digital ecosystem should not include digital platforms with a single service. The digital nature of the ecosystem allows it to quickly introduce new functions and integrate data across multiple unrelated business lines and markets. These factors allow the ecosystem to avoid the traditional costs associated with rapid business expansion, both vertically (by using its services in new markets) and horizontally (by expanding the “range” of services). The digital platform uses information about the sales of suppliers on its platform to research the market and develop its own line of competing products. In this regard, the company can be accused of promoting its own products in this way. These features of the functioning of digital platforms determine the need to revise the criteria for compliance with the principles of competition. As a result of processing the user habits of citizens, the ecosystem issues a personalized offer. The consequence of this may be price discrimination, when some customers are offered more expensive goods than others, depending on their purchasing power. In this regard, it is proposed to oblige platforms to disclose the principles of such pricing. Disclosure requirements and pricing transparency are effective mechanisms for regulating the existing problem, since they increase consumer awareness, facilitate price comparison and prevent consumers from being misled. However, experts note that disclosure of pricing rules can weaken competition in the market and increase the overall price level. This measure can also lead to a lag in the development of recommendation services in the global market, a violation of commercial secrets, additional costs and a slowdown in the development of digital platforms.

Концептуально-онтологические аспекты множественности предка в информационных моделях «сущность-связь»

The design of information models in the development of automated systems involves constructing entity-relationship models, which define classes of entities and interclass relationships of the ancestor-descendant type, serving as a conceptual and ontological foundation for the subsequent creation of databases. This article explores aspects of representing the semantic constraints of the subject area imposed on relationships between entities in entity-relationship models. A special type of relationship between classes of entities, termed multiple ancestor (MA) relations, is highlighted, where several instances of the ancestor entity may exist for a single instance of the descendant entity. The article analyses the possible semantic constraints that arise in such cases and the anomalies they generate. Based on the introduced concepts of ascending kinship lines and the MA predicate, a formalisation of MA integrity is presented. Examples of formal MA constraints are provided, including positive (requiring the coincidence of ancestor instances), negative (requiring the mismatch of ancestor instances), and mixed. The mutual influence of several MA constraints with partially intersecting lines of ascending kinship is also examined. Finally, the feasibility of implementing MA constraints in relational database models is evaluated.

Association between unintentional firearm injury characteristics and deaths in adolescents

BackgroundApproximately 15% of pediatric firearm injuries are unintentional. While demographic characteristics of unintentional firearm injuries have been described, the relationship between injury characteristics and mortality is not well understood. In this study, we identified injury characteristics associated with fatality among unintentional firearm injuries in adolescents.MethodsWe conducted a retrospective (May 2022-May 2023) cross-sectional study of unintentional firearm injuries among adolescents 12–17 years old using the Gun Violence Archive. Variables included victim age and sex, shooter age and sex, injury location, injury circumstance, number of firearms, type of firearm, firearm owner, census region, and shooter relationship to the victim. Logistic regression was used to identify variables associated with fatality.ResultsOf 319 unintentional incidents, 212 (66.5%) were non-fatal and 107 (34.5%) were fatal. Of all shootings, 176 (55.2%) occurred in a residence. A shooter was identified in 256 (80.3%) cases; 43.0% of these were a peer of the victim. The adjusted odds of fatality were higher when a peer was the shooter (aOR 5.38, 95% CI 2.57, 11.80) compared to self-inflicted injury and when the shooting took place in the victim’s residence (aOR 2.87, 95% CI 1.07, 7.88) or another residence (aOR 3.03, 95% CI 1.45, 6.67) versus a public location (Fig. 1).ConclusionsUnintentional firearm injuries were more likely fatal when a peer was the shooter and when the shooting occurred at a residence. This amplifies the importance of safe home firearm storage and exploring other evidence-based approaches to decreasing youth access to firearms.

Revised cross-correlation and time-lag between cosmic ray intensity and solar activity using Chatterjee’s correlation coefficient

This study revisits the cross-correlation between cosmic ray intensity (CRI) and solar activity (SA) by comparing traditional Pearson correlation with Chatterjee’s correlation coefficient. Traditional analyses using Pearson correlation are useful for identifying linear relationships and time lags. However, they may not fully capture more complex interactions in the data. Chatterjee’s correlation coefficient, while sensitive to different types of relationships, including nonlinear ones, provides a complementary perspective on the temporal relationships between CRI and SA. This approach broadens our understanding of potential dependencies, offering additional insights that may not be captured through Pearson correlation alone.The findings reveal that Chatterjee’s correlation complements Pearson’s insights by providing an alternative view of the relationship between cosmic ray intensity (CRI) and solar activity (SA). The results show that Chatterjee’s correlation coefficients are, on average, approximately 45–50% smaller than Pearson’s, which could reflect different sensitivities to the underlying data structure rather than solely indicating a nonlinear component. Additionally, the time lags identified using Chatterjee’s correlation are generally shorter and more consistent across different solar cycles compared to those obtained with Pearson’s correlation, suggesting that CCC may capture temporal patterns in a distinct manner.Further analysis using Dynamic Time Warping (DTW) and Mean Absolute Percentage Error (MAPE) metrics demonstrated that, in more than half of the scenarios considered, alignment based on Chatterjee’s time lags resulted in lower errors and better alignment of the series compared to Pearson’s lags. This indicates that Chatterjee’s method is particularly effective for capturing the immediate and nuanced responses of CRI to SA changes, especially in recent solar cycles.This comprehensive approach provides broader insights into the dynamic interactions between cosmic ray intensity (CRI) and solar activity (SA), highlighting the importance of considering multiple correlation measures, including both linear and nonlinear approaches, in space weather research. The results suggest that Chatterjee’s correlation offers a complementary perspective on these interactions, providing additional details about how SA influences CRI over time, which may not be fully captured by Pearson’s correlation alone.

Building Trust, Fostering Agency, Sharing Power: Interracial Feminist Co-Mentoring as a Strategy for Dismantling White Supremacy in Higher Education

Despite institutional claims to value increased racial diversity in higher education, Black women in faculty roles perpetually navigate oppressive cultures across all institutional types. The ability to build and foster mutually beneficial interracial mentoring relationships is vitally important to move beyond performative diversity and build truly inclusive organizations. In this project, we sought to interrogate our own interracial feminist co-mentoring relationship to identify guiding principles for others engaged in these types of relationships. As a Black woman and a white 1 1 In opposition to APA guidelines, we do not capitalize white as a racial category or identity. We do capitalize Black, as a form of “rejecting the standard grammatical norm as a means to acknowledge and reject the grammatical representation of power capitalization brings to the term ‘white’” (Huber, 2010, p. 93). woman, we employed duoethnography to analyze the realities of our interracial mentoring relationship and to develop a conceptual framework of interracial feminist co-mentoring. This study emphasized the transformative opportunities that can occur through experiences of social exchange and reciprocity within interracial feminist co-mentoring relationships. We argue for critical evaluation of existing mentorship models to include (a) a recognition of the historical and contemporary factors that inhibit Black women’s ability to build and foster relationships with white women and (b) explicit ways white women can foster trust within interracial co-mentorships that facilitate true agency and shared power. Through this intentional exploration of our relationship, we make space for true divestment in internalized white supremacy for both Black and white women and movement toward dismantling white supremacy culture in mentoring relationships throughout higher education.

Binge eating, social media disorder and attachment in adolescence: Gender differences in the mediating role of alexithymia

IntroductionThere is a need for research investigating factors accounting for binge eating (BE) and social media disorder (SMD) in adolescence. ObjectiveDespite studies suggesting the role of both attachment and alexithymia in these disorders, there has been no investigation into the mediating role of alexithymia in the pathways linking the different types of attachment relationships to both BE and SMD. MethodsA total of 423 Italian adolescents (32.2% males, Mage=16.88) completed self-report questionnaires investigating attachment, alexithymia, binge eating, and social media disorder levels. Hypotheses were tested with Structural Equation Modelling including multigroup analyses. ResultsAlmost all the variables showed relationships with each other. BE was explained by attachment to the mother and peers in both genders, but the mediating effect of alexithymia was significant only among girls. SMD was explained only by attachment to peers among boys but by attachment to the parents among girls. Moreover, among girls, the role of attachment to the father in SMD was fully mediated by alexithymia levels. ConclusionsAttachment and alexithymia are two explaining variables associated with BE and SMD in adolescence. However, differentiating between attachment relationships appears crucial to reaching a nuanced understanding of the dynamics underlying both BE and SMD.

Bone to implant surface contact as a criterion for immediate implant placement with simultaneous sinus augmentation in the upper molars interradicular bone: A radiological CBCT study

Objectives: The aim of this study is to determine which type of vertical relationship (between molar apices and the sinus floor) is correlated with the most favorable bone to implant contact (BIC). Methods: The CBCT database of the Faculty of Dental Medicine was used for datasets. For each dataset, a prosthetically-driven virtual implant placement was placed in the remaining interradicular bone. Potential BIC was measured using two different implant macrogeometries (straight and tapered). Results: The study included 20 maxillary molars with divergent root anatomy: 90% of the molars had a type II vertical relationship with the sinus floor, while only 10% had type III. Mean pBIC surface for second molars was significantly higher for straight implants compared to tapered implants. However, no significant differences in BIC% means between straight and tapered implants for any of the comparisons was found. Conclusions: Implant macrogeometry was found to have an impact on achieving higher pBIC values in certain situations, such as for second molars and type II relationship with the sinus floor. The study highlights the need for incorporating 3D software analysis in pre-operative surgical planning.

Spatiotemporal Relationship Between Land Subsidence and Ecological Environmental Quality in Shenfu Mining Area, Loess Plateau, China

The exploitation of coal resources has caused problems such as ground deformation, affecting the ecological environment. Spatiotemporal varying characteristics between land subsidence and ecological environmental quality (EEQ) are an important research hotspot. Using the SBAS-InSAR method, 64 Sentinel-1 images were utilized to monitor land subsidence in the Shenfu mining area, one of China’s largest coal source regions. And the remote sensing ecological index (RSEI) was used to monitor and evaluate EEQ of the Shenfu mining area. Global and local spatial autocorrelation methods were used to assess the spatial aggregation degree and change patterns over time. Spatial Econometric Models were employed to explore the impacts of land subsidence on EEQ. The results showed the following: (1) The average RSEI values in the Shenfu mining area were 0.531, 0.488, and 0.523 in 2016, 2018, and 2020, respectively; there was a slight downward trend in EEQ. The permanent scatter (PS) point deformation rate ranged from −353.40 mm/year to +246.24 mm/year, with average deformation rates of 0.1642, 0.2181, and 0.2490 mm/year, respectively. (2) There was a significant correlation and spatial agglomeration effect between land surface subsidence and EEQ. Low–high, high–low, and low–low clusters were the main types of relationships, indicating that land subsidence primarily has a negative spatial impact on the ecological environment. (3) The relationship between land subsidence and EEQ varied spatially in the Shenfu mining area at 500 × 500 grid units. This research can provide scientific guidance for disaster prevention and sustainable development in mining areas by considering long-term differences in ecological environmental quality and its correlation with land subsidence.

Revealing host genome–microbiome networks underlying feed efficiency in dairy cows

Ruminants have the ability to digest human-inedible plant materials, due to the symbiotic relationship with the rumen microbiota. Rumen microbes supply short chain fatty acids, amino acids, and vitamins to dairy cows that are used for maintenance, growth, and lactation functions. The main goal of this study was to investigate gene-microbiome networks underlying feed efficiency traits by integrating genotypic, microbial, and phenotypic data from lactating dairy cows. Data consisted of dry matter intake (DMI), net energy secreted in milk, and residual feed intake (RFI) records, SNP genotype, and 16S rRNA rumen microbial abundances from 448 mid-lactation Holstein cows. We first assessed marginal associations between genotypes and phenotypic and microbial traits through genomic scans, and then, in regions with multiple significant hits, we assessed gene-microbiome-phenotype networks using causal structural learning algorithms. We found significant regions co-localizing the rumen microbiome and feed efficiency traits. Interestingly, we found three types of network relationships: (1) the cow genome directly affects both rumen microbial abundances and feed efficiency traits; (2) the cow genome (Chr3: 116.5 Mb) indirectly affects RFI, mediated by the abundance of Syntrophococcus, Prevotella, and an unknown genus of Class Bacilli; and (3) the cow genome (Chr7: 52.8 Mb and Chr11: 6.1–6.2 Mb) affects the abundance of Rikenellaceae RC9 gut group mediated by DMI. Our findings shed light on how the host genome acts directly and indirectly on the rumen microbiome and feed efficiency traits and the potential benefits of the inclusion of specific microbes in selection indexes or as correlated traits in breeding programs. Overall, the multistep approach described here, combining whole-genome scans and causal network reconstruction, allows us to reveal the relationship between genome and microbiome underlying dairy cow feed efficiency.

Summer evapotranspiration-cloud feedbacks in land-atmosphere interactions over Europe

AbstractLand-atmosphere (L-A) feedbacks are important for understanding regional climate functioning. However, the accurate quantification of feedback strength is challenging due to complex, nonlinear interactions and varying background atmospheric conditions. In particular, the role of cloud water in the terrestrial water cycle is often ignored or simplified in previous L-A feedback studies, which overlook the relationship between evapotranspiration (ET) and cloud water (TQC). This study diagnoses the interactions between $$\:ET$$, $$\:TQC$$ and its dynamics ($$\:\varDelta\:TQC/\varDelta\:t$$) under different atmospheric conditions by conducting correlation and a novel scaling analysis, based on a coupled regional climate model simulation. Contrasting correlation relationships between $$\:ET$$, $$\:TQC$$ and $$\:\varDelta\:TQC/\varDelta\:t$$ were identified, indicating the positive feedback between $$\:ET$$ and the dynamics in cloud water. Two types of positive scaling relationships between $$\:ET$$ and $$\:\varDelta\:TQC/\varDelta\:t$$ were identified by K-means clustering. The analysis shows a contrasting north-south distribution of the scaling relationship that is similar to the spatial distribution of energy-limited and water-limited $$\:ET$$ regimes, highlighting the role of ET regimes in modulating the $$\:ET$$ - $$\:\varDelta\:TQC/\varDelta\:t$$ scaling relationships. Moreover, the feedback strength and scaling relationship are affected by atmospheric moisture flux dynamics, providing remote moisture sources and altering dry/wet conditions. Our results highlight the role of cloud water in the atmospheric part of the L-A process chain and reveal the effect of different atmospheric conditions on L-A interactions based on the new analysis framework.

Characterizing teacher‐perceived and student‐perceived teacher–student relationship types and associations with student functioning in students with special educational needs: A cross‐sectional study using latent profile analyses

Characterizing teacher‐perceived and student‐perceived teacher–student relationship types and associations with student functioning in students with special educational needs: A cross‐sectional study using latent profile analyses

Enhancing constructive communication in the digital age through “textual healing,” a mindfulness app

Texting has become a primary mode of communication across relationship types, particularly amongst women, despite its vulnerability to miscommunication and associated social consequences. Whereas there is a robust literature on the mechanics and the importance of constructive communication, little is known about how these findings generalize to text-based forms of communication. Using a sample of 71 Black women between the ages of 18–29, the present study examined how the content of text messages changed in response to a short mindfulness-based intervention delivered via a smartphone application. Findings revealed that these women used the intervention to modify maladaptive communication to be more constructive, as well as to enhance neutral communication. They were also less likely to send maladaptive messages after composing them and going through the intervention. In addition to emphasizing the relevance of existing communication theories to text-based communication, this study highlights the potential for the phone to be used as a vehicle for mindful communication amongst a variety of relationship types despite its potential for misuse.

Workplace Romance: A Research on Flight Attendants in Aviation Industry

The aim of this research is to examine different aspects of workplace romance experienced by flight attendants in the aviation industry. Qualitative research method was used to examine the research subject in depth. The research was guided by using the phenomenology design, which is one of the qualitative research designs. The sample of the research was determined according to purposeful sampling and saturation point methods. In this context, the sample of the research consists of 11 flight attendants working in different airline companies in Turkey. Online interview method was used as a data collection tool. The data obtained was subjected to content analysis using MAXQDA 24 qualitative data analysis program with an inductive and descriptive approach. As a result of the content analysis, the research findings were collected under five themes. These themes include: factors affecting workplace romance, factors obstructing workplace romance, types of romantic relationships at workplace, results of workplace romance and management of workplace romance. According to the findings, the reasons why male and female employees have romantic relationships at work differ; It has been observed that different romantic relationships emerge depending on the position of the partners and the reasons for the relationship, and that workplace romance have positive and negative results individually/organizationally. It is thought that the research results will contribute to the literature on the concept of workplace romance and organizational behavior in the aviation industry.

Hypergraph convolutional networks with multi-ordering relations for cross-document event coreference resolution

Recognizing the coreference relationship between different event mentions in the text (i.e., event coreference resolution) is an important task in natural language processing. It helps to understand the association between various events in the text, and plays an important role in information extraction, question answering systems, and reading comprehension. Existing research has made progress in improving the performance of event coreference resolution, but there are also some shortcomings. For example, most of the existing methods analyze the event data in the document in a serial processing mode, without considering the complex relationship between events, and it is difficult to mine the deep semantics of events. To solve these problems, this paper proposes a cross-document event co-reference resolution method (HGCN-ECR) based on hypergraph convolutional neural networks. Firstly, the BiLSTM-CRF model was used to label the semantic role of the events extracted from a number of documents. According to the labeling results, the trigger words and non-trigger words of the event were determined, and the multi-document event hypergraph was constructed around the event trigger words. Then hypergraph convolutional neural networks are used to learn higher-order semantic information in multi-document event hypergraphs, and multi-head attention mechanisms are introduced to understand the hidden features of different event relationship types by treating each event relationship as a set of separate attention mechanisms. Finally, the feed-forward neural network and the average link clustering method are used to calculate the coreference score of events and complete the coreference event clustering, and the cross-document event coreference resolution is realized. The experimental results show that the cross-document event co-reference resolution method is superior to the baseline model.