Two-category Model Research Articles

Factors impacting fertility anxiety among Chinese young women with marital status differences

BackgroundChina's societal and cultural significance placed on female fertility and the changing roles of women can lead to fertility anxiety in both married and unmarried women. This anxiety is shaped by factors such as social media use, intergroup emotions, fertility risk perceptions, and national policies. This study examines the interplay of these factors in understanding fertility anxiety among Chinese women. MethodsThis study surveyed 607 young Chinese women using the Fertility Anxiety Scale developed by Zhang and Zhao. Mplus software was used for latent class analysis of respondents' fertility anxiety. A three-step approach with multinomial logistic regression was used to explore factors influencing fertility anxiety among married and unmarried women. ResultsThe latent class analysis supported a two-category model: “high fertility anxiety” (65.70 % married, 53.70 % unmarried) and “low fertility anxiety” (34.30 % married, 46.30 % unmarried). Multinomial logistic regression showed that increased social media usage intensity and perception of health-family risks correlated with higher fertility anxiety in both married and unmarried women. Among unmarried women, intergroup emotions and perceptions of occupational-economic risks also influenced fertility anxiety. Attention to national policies did not significantly impact fertility anxiety among young women. ConclusionThis study sheds light on the complex interplay of societal and individual factors in shaping fertility anxiety among young Chinese women. It underscores the enduring cultural significance placed on female fertility and the evolving roles of women in modern China. Regardless of their marital status, both married and unmarried women experience fertility anxiety, highlighting the pervasiveness of this concern.

High care and low overprotection from both paternal and maternal parents predict a secure attachment style with a partner among perinatal Japanese women

This study aimed to determine how paternal and maternal parenting before adolescence affects adult attachment to a partner during the perinatal period, using three different models of attachment. We used the Parental Bonding Instrument (PBI) and the Relationship Questionnaire (RQ) to examine perceived parenting practices and adult attachment styles, respectively. The participants included 4586 Japanese women who were pregnant or who had given birth, up until one month after childbirth. We performed structural equation modeling analysis between PBI and RQ scores with three different category models, including the four-category model (secure, fearful, preoccupied, and dismissive attachment) as Model 1, the two-category model (model of the self and others) as Model 2, and the single-category model (total attachment style) as Model 3. Models 1 and 2 showed a good fit. Both path models showed a significant association between adult attachment style and perceived paternal and maternal parenting before adolescence, where high care and low overprotection from both paternal and maternal parents predicted adult attachment. Our findings indicate that attachment styles are best described using the four-category and two-category models, and suggest that both paternal and maternal overprotection and care influence adult attachment with a partner during the perinatal period.

Pterygium Screening and Lesion Area Segmentation Based on Deep Learning.

A two-category model and a segmentation model of pterygium were proposed to assist ophthalmologists in establishing the diagnosis of ophthalmic diseases. A total of 367 normal anterior segment images and 367 pterygium anterior segment images were collected at the Affiliated Eye Hospital of Nanjing Medical University. AlexNet, VGG16, ResNet18, and ResNet50 models were used to train the two-category pterygium models. A total of 150 normal and 150 pterygium anterior segment images were used to test the models, and the results were compared. The main evaluation indicators, including sensitivity, specificity, area under the curve, kappa value, and receiver operator characteristic curves of the four models, were compared. Simultaneously, 367 pterygium anterior segment images were used to train two improved pterygium segmentation models based on PSPNet. A total of 150 pterygium images were used to test the models, and the results were compared with those of the other four segmentation models. The main evaluation indicators included mean intersection over union (MIOU), IOU, mean average precision (MPA), and PA. Among the two-category models of pterygium, the best diagnostic result was obtained using the VGG16 model. The diagnostic accuracy, kappa value, diagnostic sensitivity of pterygium, diagnostic specificity of pterygium, and F1-score were 99%, 98%, 98.67%, 99.33%, and 99%, respectively. Among the pterygium segmentation models, the double phase-fusion PSPNet model had the best results, with MIOU, IOU, MPA, and PA of 86.57%, 78.1%, 92.3%, and 86.96%, respectively. This study designed a pterygium two-category model and a pterygium segmentation model for the images of the normal anterior and pterygium anterior segments, which could help patients self-screen easily and assist ophthalmologists in establishing the diagnosis of ophthalmic diseases and marking the actual scope of surgery.

Expertise and Non-binary Bodies: Sex, Gender and the Case of Dutee Chand

How do institutions respond to expert contests over epistemologies of sex and gender? In this article, I consider how epistemological ascendancy in debates over the regulation of women athletes with high testosterone is established within a legal setting. Approaching regulation as an institutional act that defines forms of embodied difference, the legitimacy of which may be called into question, I show how sexed bodies are enacted through and as part of determinations of expertise. I focus on proceedings from 2015 when the Court of Arbitration for Sport was asked to decide whether an Indian sprinter, Dutee Chand, could compete as a female athlete. Despite acknowledging that sexed bodies are unruly, the court ultimately endorsed the use of testosterone as seemingly essential to women’s athletic performance, thereby reasserting a two-category model of biological difference. The legitimacy of these regulatory efforts was established through the concurrent narrowing of expertise and the body, a process that is also revealed to be gendered.

No Association between Genetic Polymorphisms in IGF-I and IGFBP-3 and Prostate Cancer

No Association between Genetic Polymorphisms in IGF-I and IGFBP-3 and Prostate Cancer

Estimating population change with a two-category shift-share model

Shift-share analysis is an accounting procedure that identifies three separate effects for regional employment change. But the analysis is ordinarily restricted to only one category: usually, industry employment. This paper presents a new shift-share model that simultaneously addresses both occupation employment and industry employment. Community-level occupation-in-industry employment effects (both mix and competitive) occurring in the 1980s are then used to estimate population change in the 1990s. Separate estimates are given for two data sets comprised of different-sized non-metropolitan U.S. communities – small towns and micropolitan centers. This expanded two-category model is shown to generate estimates that are clearly superior to those of the traditional one-category model.

Two-category Model of Task Allocation with Application to Ant Societies

In many network models of interacting units such as cells or insects, the coupling coefficients between units are independent of the state of the units. Here we analyze the temporal behavior of units that can switch between two ‘category’ states according to rules that involve category-dependent coupling coefficients. The behaviors of the category populations resulting from the asynchronous random updating of units are first classified according to the signs of the coupling coefficients using numerical simulations. They range from isolated fixed points to lines of fixed points and stochastic attractors. These behaviors are then explained analytically using iterated function systems and birth–death jump processes. The main inspiration for our work comes from studies of non-hierarchical task allocation in, e.g., harvester ant colonies where temporal fluctuations in the numbers of ants engaged in various tasks occur as circumstances require and depend on interactions between ants. We identify interaction types that produce quick recovery from perturbations to an asymptotic behavior whose characteristics are function of the coupling coefficients between ants as well as between ants and their environment. We also compute analytically the probability density of the population numbers, and show that perturbations in our model decay twice as fast as in a model with random switching dynamics. A subset of the interaction types between ants yields intrinsic stochastic asymptotic behaviors which could account for some of the experimentally observed fluctuations. Such noisy trajectories are shown to be random walks with state-dependent biases in the ‘category population’ phase space. With an external stimulus, the parameters of the category-switching rules become time-dependent. Depending on the growth rate of the stimulus in comparison to its population-dependent decay rate, the dynamics may qualitatively differ from the case without stimulus. Our simple two-category model provides a framework for understanding the rich variety of behaviors in network dynamics with state-dependent coupling coefficients, and especially in task allocation processes with many tasks.