Hasil untuk "Sociology"

Routledge Sociology Classics, Karl Mannheim, T. Parsons

ion. It must never be forgotten that these are both abstractions from the same concrete roles of the same concrete actors. 5 This view is also extensively discussed in Values, Motives and Systems of Action. 6 Ego may for certain purposes be located as an object to himself—but this special case does not affect the above statements. The structure of the social system, II 95

Felix Elwert, Christopher Winship

Fred C. Pampel, P. M. Krueger, Justin T. Denney

R. Perrucci, C. Perrucci, M. Subramaniam

Z. Bauman

C. Taliaferro

C. Mills

Mark S. Granovetter

J. Law, J. Hassard

Daniel Cristóbal Andrade-Girón, Juana Sandivar-Rosas, William Joel Marin-Rodriguez et al.

Cardiovascular disease (CVD) is a major cause of mortality around the world. This underscores the critical need to implement effective predictive tools to inform clinical decision-making. This study aimed to compare the predictive performance of ensemble learning algorithms, including Bagging, Random Forest, Extra Trees, Gradient Boosting, and AdaBoost, when applied to a clinical dataset comprising patients with CVD. The methodology entailed data preprocessing and cross-validation to regulate generalization. The performance of the model was evaluated using a variety of metrics, including accuracy, <i>F</i>1 score, precision, recall, Cohen’s Kappa, and area under the curve (<i>AUC</i>). Among the models evaluated, Bagging demonstrated the best overall performance (accuracy ± SD: 93.36% ± 0.22; <i>F</i>1 score: 0.936; <i>AUC</i>: 0.9686). It also reached the lowest average rank (1.0) in Friedman test and was placed, together with Extra Trees (accuracy ± SD: 90.76% ± 0.18; <i>F</i>1 score: 0.916; <i>AUC</i>: 0.9689), in the superior statistical group (group A) according to Nemenyi post hoc test. The two models demonstrated a high degree of agreement with the actual labels (Kappa: 0.87 and 0.83, respectively), thereby substantiating their reliability in authentic clinical contexts. The findings substantiated the preeminence of aggregation-based ensemble methods in terms of accuracy, stability, and concordance. This underscored the prominence of Bagging and Extra Trees as optimal candidates for cardiovascular diagnostic support systems, where reliability and generalization were paramount.

Sofia Alexandra Cruz, José Soeiro

Jiamin Tang, Jie Jia, Yuan Gao et al.

Abstract Background In the medical field, value co-creation involves patients’ active involvement. By collaborating with service providers, patients can contribute to the creation of more targeted and effective value. Patients’ self-efficacy and behavior are crucial in this process, as their active participation and support can enhance their service experience. This study investigated the impact of chronic disease patients’ self-efficacy and value co-creation behaviors on the outcomes of value co-creation. Methods Relevant data were acquired through a questionnaire survey using statistical methods, such as the t-test, analysis of variance, and stratified linear regression. This approach was used to examine the current conditions and factors influencing value co-creation outcomes among community-dwelling patients with chronic diseases. Additionally, a structural equation model was employed to systematically investigate and validate the impact pathways and mechanisms related to the influence of self-efficacy and value co-creation behaviors on value co-creation outcomes. We also explored the moderating effect of digital health technology application capabilities on the relationship between self-efficacy and value co-creation behaviors. Results Self-efficacy, information search, interactive collaboration, feedback provision, and shared decision-making exert significant positive influences on the value co-creation outcomes among individuals with chronic diseases. The path analysis of the structural equation model indicates that self-efficacy and value co-creation behaviors may directly impact value co-creation outcomes. Concurrently, value co-creation behaviors partially mediate the association between self-efficacy and value co-creation outcomes. Furthermore, the digital health technology application capability exhibits a negative moderating effect in the pathway from self-efficacy to value co-creation behaviors. Conclusions The implementation of health education and social support measures by healthcare institutions and communities may augment patient self-efficacy, facilitate doctor-patient interactions, and promote shared decision-making. These initiatives could enhance the value of chronic disease services and optimize patient experiences. Additionally, healthcare institution managers are encouraged to focus on optimizing internet hospital platforms, organizing digital health training for patients, and bolstering patients’ proficiency in digital health technology applications. This strategy aims to instill a sense of health responsibility among patients with chronic diseases by fostering positive behaviors in interactive collaboration, information search, feedback provision, and other dimensions.

Jichang Yu, Wenjing Chang, Peichao Yu et al.

In recent years, with the rapid development of science and technology, heterogeneous treatment effects have emerged as a focal research topic in statistics, econometrics, and sociology. This paper investigates HTE through semiparametric single-index models based on doubly robust estimation. Departing from conventional approaches, we neither impose boundedness constraints on the link function in single-index models nor restrict its support range. By employing the sieve method to approximate the link function, we achieve simultaneous estimation of both the link function and index parameters. Our study not only establishes the asymptotic properties of the proposed estimator but also systematically evaluates its finite-sample performance through comprehensive simulation studies. Numerical results demonstrate that our method significantly outperforms other commonly used competing estimators. Furthermore, we apply the proposed approach to the National Health and Nutrition Examination Survey dataset to assess the impact of participation in school lunch programs on body mass index.

Avrim Blum, Emily Diana, Kavya Ravichandran et al.

Ambition and risk-taking have been heralded as important ways for marginalized communities to get out of cycles of poverty. As a result, educational messaging often encourages individuals to strengthen their personal resolve and develop characteristics such as discipline and grit to succeed in ambitious ends. However, recent work in philosophy and sociology highlights that this messaging often does more harm than good for students in these situations. We study similar questions using a different epistemic approach and in simple theoretical models -- we provide a quantitative model of decision-making between stable and risky choices in the improving multi-armed bandits framework. We use this model to first study how individuals' "strategies" are affected by their level of grittiness and how this affects their accrued rewards. Then, we study the impact of various interventions, such as increasing grit or providing a financial safety net. Our investigation of rational decision making involves two different formal models of rationality, the competitive ratio between the accrued reward and the optimal reward and Bayesian quantification of uncertainty.

Yu-Cheng Chih, Yong-Hao Hou

Judicial reasoning in criminal judgments typically consists of three elements: Holding , evidentiary considerations, and subsumption. These elements form the logical foundation of judicial decision-making but remain unstructured in court documents, limiting large-scale empirical analysis. In this study, we design annotation guidelines to define and distinguish these reasoning components and construct the first dedicated datasets from Taiwanese High Court and Supreme Court criminal judgments. Using the bilingual large language model ChatGLM2, we fine-tune classifiers for each category. Preliminary experiments demonstrate that the model achieves approximately 80% accuracy, showing that judicial reasoning patterns can be systematically identified by large language models even with relatively small annotated corpora. Our contributions are twofold: (1) the creation of structured annotation rules and datasets for Holding, evidentiary considerations, and subsumption; and (2) the demonstration that such reasoning can be computationally learned. This work lays the foundation for large-scale empirical legal studies and legal sociology, providing new tools to analyze judicial fairness, consistency, and transparency.

P. Caspersz

Armand Fréjuis Akpa, Augustin Foster Chabossou

The introduction of information and communication technology (ICT) has altered the way society operates things. ICT is used in various sectors, including agriculture. It can be used in the agricultural sector to distribute pricing and encourage agricultural commodity exports. The study aims to investigate the effect of ICT on cashew nut export in Benin using an autoregressive distributed lag (ARDL) approach. Data were collected over the period of 31 years (1990–2020) in Benin. The estimated results showed that mobile cellular telephone subscription is negatively and significantly correlated with cashew nut export in the short-run. However, in the long-run, it exhibits a positive and significant correlation. On the other hand, internet usage had no significant effect on cashew nut export in the short-run, but negatively influenced cashew nut export in the long-run. These results suggest that to increase its cashew nut export, the Beninese government should invest in technological infrastructure to improve internet access by reducing the cost of internet and increasing education that will allow farmers to better understand and use ICT.

Rosa del Carmen Castillo Valenzuela, Salvador Ruiz Cerrillo, Serena Brigidi

Objective: to analyze the effectiveness of a promotion and human milk donation program in a virtual group of Mexican women. Material and methods: a non-statistical sampling of 5 Mexican women was used, as a main tool a questionnaire of 37 open-ended questions was applied through the in-depth interview technique. Results: with the 6-month campaign of sensibilization and promotion to the donation inside the virtual group, 12 Mexican women could become active donors, getting 21,595 ml of donated human milk. Conclusions: support and promotional human milk virtual groups in social networks show an effectiveness based on the consolidation of support networks and personal significance.

Subhankar Ghosh, Jayant Gupta, Arun Sharma et al.

Given a set \emph{S} of spatial feature types, its feature instances, a study area, and a neighbor relationship, the goal is to find pairs $<$a region ($r_{g}$), a subset \emph{C} of \emph{S}$>$ such that \emph{C} is a statistically significant regional-colocation pattern in $r_{g}$. This problem is important for applications in various domains including ecology, economics, and sociology. The problem is computationally challenging due to the exponential number of regional colocation patterns and candidate regions. Previously, we proposed a miner \cite{10.1145/3557989.3566158} that finds statistically significant regional colocation patterns. However, the numerous simultaneous statistical inferences raise the risk of false discoveries (also known as the multiple comparisons problem) and carry a high computational cost. We propose a novel algorithm, namely, multiple comparisons regional colocation miner (MultComp-RCM) which uses a Bonferroni correction. Theoretical analysis, experimental evaluation, and case study results show that the proposed method reduces both the false discovery rate and computational cost.

Julien Birgi

This paper revisits the well-known wood-furniture cluster of Jepara (Central Java, Indonesia) with new parameters inspired by the theories of industrial districts and clusters. So far, literature on this production centre, mostly focused on value chain analysis, has failed to explain how it could survive external shocks and rising pressure of global competition, without upgrading. Based on a qualitative analysis encompassing the spatial organization and social structures supporting the productive system, this contribution of geography, sociology, and anthropology to development economics unveils a singular combination of ultraliberal business practices together with conservative social values, expressed in a unique arbourlike morphology. These qualitative results tend to show that, beyond the concept of flexible specialization identified by literature as the core driving force of the cluster, Jepara may be considered as a new avatar of Marshallian district in a context of subaltern globalization. Such findings question the opportunities offered to subaltern towns in emerging economies enrolled in globalization to capitalize their own local social and environmental assets to develop labour-intensive activities capable of adapting an ever-changing deal imposed by external price-driven competition.