Since Conceptual Metaphor Theory (CMT) (Lakoff & Johnson, 1980) was introduced, methods of studying conceptual metaphor have kept improving to respond to methodological criticisms. Critical Metaphor Analysis (CMA) proposed by Charteris-Black (2004) has been considered as a “thought-provoking contribution” to metaphor analysis (Deignan, 2005) when approaching metaphor from various perspectives: critical discourse analysis, corpus analysis, pragmatics and cognitive linguistics. CMA is originally applied to one conceptual level in metaphor – domain. However, this paper argues that CMA can be exploited at (...) four conceptual levels in Multi-level View of conceptual metaphor (Kövecses, 2017b) - image schema, domain, frame, and mental space. The combined framework of Critical Metaphor Analysis – CMA (Charteris-Black, 2004) and Multi-level View of conceptual metaphor – MLV (Kövecses, 2017b) can gain deeper insights into ideologies motivating metaphorical concepts for the Vietnam war as well as elucidate the conceptual structure of metaphor via the four levels. Hence, this combination fills the gap of lacking a framework with optimal balance of semantic, pragmatic, cognitive and critical dimensions. It also features the intriguing relationship between ideologies and conceptual structure, i.e., ideologies are embedded in all the four conceptual levels and systematically develop with increasing specificity from image schema to domain, frame and mental space. The focus of this paper is on our argument for an integrated framework of conceptual metaphor and the newspaper articles written by American war correspondents during the Vietnam war are used for illustration of how the integrated framework can help us better understand the conceptual metaphors in the articles. (shrink)

The annotated dataset is an essential requirement to develop an artificial intelligence system effectively and expect the generalization of the predictive models and to avoid overfitting. Lack of the training data is a big barrier so that AI systems can broaden in several domains which have no or missing training data. Building these datasets is a tedious and expensive task and depends on the domains and languages. This is especially a big challenge for low-resource languages. In this paper, we experiment (...) and evaluate many various approaches on sentiment analysis problems so that they can still obtain high performances under limited training data. This paper uses the preprocessing techniques to clean and normalize the data and generate the new samples from the limited training dataset based on many text augmentation techniques such as lexicon substitution, sentence shuffling, back translation, syntax-tree transformation, and embedding mixup. Several experiments have been performed for both well-known machine learning-based classifiers and deep learning models. We compare, analyze, and evaluate the results to indicate the advantage and disadvantage points of the techniques for each approach. The experimental results show that the data augmentation techniques enhance the accuracy of the predictive models; this promises that smart systems can be applied widely in several domains under limited training data. (shrink)

Nowadays, the power systems are getting more and more complicated because of the delays introduced by the communication networks. The existence of the delays usually leads to the degradation and/or instability of power system performance. On account of this point, the traditional load frequency control approach for power system sketches a destabilizing impact and an unacceptable system performance. Therefore, this paper proposes a new LFC based on adaptive integral second-order sliding mode control approach for the large-scale power system with communication (...) delays. First, a new linear matrix inequality is derived to ensure the stability of whole power systems using Lyapunov stability theory. Second, an AISOSMC law is designed to ensure the finite time reachability of the system states. To the best of our knowledge, this is the first time the AISOSMC is designed for LFC of the LSPSwCD. In addition, the report of testing results presents that the suggested LFC based on AISOSMC can not only decrease effectively the frequency variation but also make successfully less in mount of power oscillation/fluctuation in tie-line exchange. (shrink)

Background: This study examined the cyberbullying experience and coping manners of adolescents in urban Vietnam and explored the mediating effect of different support to the associations between cyberbullying and mental health issues.Methods: A cross-sectional study was performed on 484 students at four secondary schools. Cyberbullying experience, coping strategies, psychological problems, and family, peer, and teacher support were obtained. Structural equation modeling was utilized to determine the mediating effects of different support on associations between cyberbullying and psychological problems.Results: There were 11.6 (...) and 28.3% of students who reported that they experienced and observed at least one cyberbullying act in the last 3 months, respectively. Among the victims, only 48.2% tried to stop the perpetrators. Meanwhile, the majority of observers belonged to the “Intervene” group who tried to report cyberbullying acts or help victims. Family support was found to partially mediate associations between cyberbullying experience and observation with levels of psychological problems among adolescents.Conclusion: The 3-month rate of cyberbullying experience and observation among urban adolescents aged 11–14 was low. However, current coping strategies against cyberbullying were not sufficient. Family support is an important factor that should be considered for designing interventions to mitigating the impacts of cyberbullying on the mental health of adolescents. (shrink)

We present a mathematical bioeconomic model of a fishery with a variable price. The model describes the time evolution of the resource, the fishing effort and the price which is assumed to vary with respect to supply and demand. The supply is the instantaneous catch while the demand function is assumed to be a monotone decreasing function of price. We show that a generic market price equation (MPE) can be derived and has to be solved to calculate non trivial equilibria (...) of the model. This MPE can have 1, 2 or 3 equilibria. We perform the analysis of local and global stability of equilibria. The MPE is extended to two cases: an age-structured fish population and a fishery with storage of the resource. (shrink)

Vietnam is home to a prospering technology community and numerous enterprises that range from small start-ups to development giants. Virtually all public services are offered online. In fact, the country even has a system for e-residency and “data embassies.” This achievement derives in part from the nation’s transparent and enduring political preferences, but more importantly from Vietnamese law and its regulatory system regarding information, the digital general public, and intellectual property rights (IPR) protection. In this examination of the most pertinent (...) aspects of Vietnam’s digital economy legislation, this study explores the nation’s regulatory structure regarding copyright and patents within the context of digital transformation. The study discusses the relationship between foreign and national regulations in terms of IPR protection and the advancement of digitalization. Research on Vietnamese regulations and the practical application of major patent and copyright regulations has revealed that in many respects, the nation is highly reliant on the effective operation of a broader foreign institutional and legal framework. Thus, in the near future, technological advancement will necessitate the establishment of additional transnational regulatory systems. (shrink)

We consider a fishery model with two sites: (1) a marine protected area (MPA) where fishing is prohibited and (2) an area where the fish population is harvested. We assume that fish can migrate from MPA to fishing area at a very fast time scale and fish spatial organisation can change from small to large clusters of school at a fast time scale. The growth of the fish population and the catch are assumed to occur at a slow time scale. (...) The complete model is a system of five ordinary differential equations with three time scales. We take advantage of the time scales using aggregation of variables methods to derive a reduced model governing the total fish density and fishing effort at the slow time scale. We analyze this aggregated model and show that under some conditions, there exists an equilibrium corresponding to a sustainable fishery. Our results suggest that in small pelagic fisheries the yield is maximum for a fish population distributed among both small and large clusters of school. (shrink)

In this work we consider the problem of the approximate hedging of a contingent claim in the minimum mean square deviation criterion. A theorem on martingale representation in case of discrete time and an application of the result for semi-continuous market model are also given.

Transformer is a neural machine translation model which revolutionizes machine translation. Compared with traditional statistical machine translation models and other neural machine translation models, the recently proposed transformer model radically and fundamentally changes machine translation with its self-attention and cross-attention mechanisms. These mechanisms effectively model token alignments between source and target sentences. It has been reported that the transformer model provides accurate posterior alignments. In this work, we empirically prove the reverse effect, showing that prior alignments help transformer models produce (...) better translations. Experiment results on Vietnamese-English news translation task show not only the positive effect of manually annotated alignments on transformer models but also the surprising outperformance of statistically constructed alignments reinforced with the flexibility of token-type selection over manual alignments in improving transformer models. Statistically constructed word-to-lemma alignments are used to train a word-to-word transformer model. The novel hybrid transformer model improves the baseline transformer model and transformer model trained with manual alignments by 2.53 and 0.79 BLEU, respectively. In addition to BLEU score, we make limited human judgment on translation results. Strong correlation between human and machine judgment confirms our findings. (shrink)

This study aims to determine whether political connections and foreign investments influence the level of Environmental, Social, and Governance (ESG) disclosure among listed firms. To empirically explore these relationships, we utilized a novel dataset of 111 listed manufacturing firms on the HOSE stock exchange in Vietnam, covering the period from 2015 to 2022. Content analysis was conducted to assess the levels of ESG disclosure, while ordered logit and random effect estimators, along with several robustness checks, were applied to quantify the (...) impacts of political connections and foreign investments. Our findings reveal that foreign connections are positively correlated with higher levels of ESG disclosure, whereas politically connected firms are associated with negative impacts and lower levels of ESG disclosure compared to those with foreign connections. These results address the research questions effectively and contribute to the literature by offering an updated view of current ESG practices in Vietnam, an emerging economy with evolving ESG norms. The findings provide both theoretical and practical contributions to the understanding of ESG disclosure, with important implications for policy-makers and business leaders. (shrink)

In the recruitment process, manually selecting suitable candidates from curriculum vitae (CVs) for a job description (JD) is both time-consuming and expensive. Traditional keyword-based methods struggle to capture skill semantics, prompting the development of more advanced JD-CV matching systems. This paper aims to investigate and construct an ontology-based skills recommendation system, with objectives including creating a skills ontology and developing skills matching methods for JD-CV pairs. The objective of our approach is to enhance the accuracy and contextual relevance of recommendations (...) by utilizing the proposed score. The proposed skills ontology and skills matching strategies are applied to a real dataset in Vietnam. The results of our study can automatically recommend a list of CVs for a given JD. Furthermore, the findings indicate that our proposed model surpasses comparative approaches by a margin of at least 1% to 5%. Overall, the study demonstrates the potential of utilizing ontology-based approaches to offer a practical solution for enhancing hiring practices. (shrink)

Central limit theorem for the functional of jump Markov process. Nguyễn Văn Hữu, Vương Quân Hoàng và Trần Minh Ngọc. Báo cáo: Hội nghị toàn quốc lần thứ III “Xác suất - Thống kê: Nghiên cứu, ứng dụng và giảng dạy” (tr. 34). Ba Vì, Hà Tây, ngày 12-14 tháng 05 năm 2005. Viện Toán học / Trường Đại học Khoa học tự nhiên / Đại học Quốc gia Hà Nội.

Some conditions are given to ensure that for a jump homogeneous Markov process $\{X(t),t\ge 0\}$ the law of the integral functional of the process $T^{-1/2} \int^T_0\varphi(X(t))dt$ converges to the normal law $N(0,\sigma^2)$ as $T\to \infty$, where $\varphi$ is a mapping from the state space $E$ into $\bbfR$.

Grammar logics were introduced by Fariñas del Cerro and Penttonen in 1988 and have been widely studied. In this paper we consider regular grammar logics with converse ( REG c logics) and present sound and complete tableau calculi for the general satisfiability problem of REG c logics and the problem of checking consistency of an ABox w.r.t. a TBox in a REG c logic. Using our calculi we develop ExpTime (optimal) tableau decision procedures for the mentioned problems, to which various (...) optimization techniques can be applied. We also prove a new result that the data complexity of the instance checking problem in REG c logics is coNP-complete. (shrink)

We present optimizations for the modal logic programming system MProlog, including the standard form for resolution cycles, optimized sets of rules used as meta-clauses, optimizations for the version of MProlog without existential modal operators, as well as iterative deepening search and tabulation. Our SLD-resolution calculi for MProlog in a number of modal logics are still strongly complete when resolution cycles are in the standard form and optimized sets of rules are used. We also show that the labelling technique used in (...) our direct approach is relatively better than the Skolemization technique used in the translation approaches for modal logic programming. (shrink)

Despite receiving a great deal of research attention, the effect of corporate philanthropy on shareholder value remains inconclusive. To address this issue, the present paper examines emotionality as an important factor based on which investors infer about the firm’s motive as well as the beneficiary’s worthiness and react accordingly. Consistent with attribution theory, our event study shows that announcements with more emotional expressions are associated with higher cumulative abnormal stock returns and the effect is stronger when investor attention is greater. (...) We further find that the positive interaction effect between emotionality and investor attention is more pronounced for scandal-free firms than for firms with corporate social irresponsibility (CSI). The empirical evidence remains consistent under various robustness tests. The paper concludes with implications for future research and managerial practices. (shrink)

Public sentiment regarding climate change in the United States is starkly divided, with the Republicans and Democrats holding markedly different views. Given the inherent connection between the water crisis and climate change, this research aimed to investigate the interplay between the residents’ beliefs about the impact of climate change on water supply unpredictability, their political identity, and their willingness to adopt direct and indirect potable water reuse. The Bayesian Mindsponge Framework (BMF) analytics was conducted on a dataset of 1,831 water (...) users in the arid region of Albuquerque, New Mexico. The findings reveal a complicated interplay among examined factors. Specifically, we discovered a positive association between the belief in the impacts of climate change and the willingness to adopt potable water reuse among non-Republican water users. In contrast, Republican water users exhibit a negative association between climate change belief and willingness to adopt potable water reuse. Interestingly, despite this, Republicans generally show a higher overall willingness to adopt potable water reuse compared to non-Republicans. These findings suggest that contextual factors in Albuquerque, New Mexico, in which challenges of aridity and economic dependence on water resources are pronounced, might be important aspects contributing to the Republican’s high willingness to adopt potable water reuse. Also, the current climate change communication strategy with the Republicans might not be appropriate, and it should be tailored to align with the Republicans’ beliefs and persuade them better. (shrink)

This article is a review and critical evaluation of the New Testament expressions that speak about the faith of Jesus beginning with the much discussed pistis Iesou Christou 'faith of/in Jesus Christ'. It is divided into three parts: (1) statistics of the New Testament expressions regarding the faith of Jesus, (2) historico-exegetical considerations of pistis Iesou Christou as 'faith of Jesus Christ' or 'faith in Jesus Christ', and (3) other key phrases that imply the faith of Christ. This leads to (...) the concluding reflections that underline, among other points, the importance and relevance of recalling the biblical meaning of the term pistis as faith and faithfulness, so as to break the impasse in the debate over the New Testament evidence regarding the faith of Jesus. Precisely in this biblico-theological perspective it is preferable to speak not so much about the faith that Jesus had, as about the fact that, in his radical self-emptying, he has lived our faith (as one of us), so that through our living in faith we can participate in his faith.(Italian). Copyright of Miscellanea Francescana is the property of Pontificia Facolta Teologica S. Bonaventura and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (shrink)

Growing numbers of women in militaries worldwide, coupled with vast segments of women within war-affected populations globally, raise questions about gender as it structures trauma exposure, posttraumatic stress disorder, and other mental health consequences of war. In this study, we investigate the gendered associations between early-life wartime stress exposures and PTSD symptoms in older adulthood using data from the 2018 Vietnam Health and Aging Study, a unique data set documenting multiple dimensions of health and wartime stress exposures within a sample (...) of older adults who occupied diverse roles during the American war in Vietnam. Our results indicate that the severity of recent PTSD symptoms is significantly and positively associated with the severity of wartime stress exposure among both men and women. Vietnamese men’s social positions, particularly their predominance in combat, exposed them to more numerous war-related stressors. However, Vietnamese women experience a greater PTSD penalty associated with some wartime stress exposures, likely due to the burden of protecting family in wartime and incorporation into military and paramilitary roles with lesser preparation, training, and support than men. We conclude that women who survive major wars, both as soldiers and civilians, bear a significant burden of armed conflict’s lasting toll upon mental health. (shrink)

English proficiency is increasingly crucial in Vietnam’s globalized landscape, with standardized tests like IELTS serving as key indicators of language ability. However, effectively translating international test scores to local grading systems remains a challenge. This study aimed to establish a reliable conversion method between IELTS scores and end-of-term grades for high school students in Vung Tau, Vietnam. Utilizing a quantitative, correlational design, we analyzed data from 371 students in grade 10 at Le Quy Don specialized school. Data sources included mock (...) IELTS scores administered by The Forum and official end-of-term grades. Pearson correlation and linear regression analyses were employed to examine the relationship between the variables. A significant positive correlation (r =0.432,p < 0.01) was found between IELTS scores and end-of-term grades. Linear regression analysis yielded a statistically significant model (End-of-term grade = 0.501 × IELTS + 5.843) for predicting grades based on IELTS scores. A conversion table was developed to provide a practical reference for educators. This study provides a valuable tool for bridging the gap between IELTS scores and academic performance in a Vietnamese educational context. The conversion table can inform educational decision-making regarding student placement, targeted support, and curriculum development, ultimately enhancing the understanding of English proficiency expectations for students and educators alike. (shrink)

Market crises amplify fear, disrupting rational decision-making of stock investment. This study examines the relationship between investors’ information priorities—such as intuition, company performance, technical analysis, and other factors—and their fear responses (freeze, flight, and hiding) during market crashes. Using the Bayesian Mindsponge Framework (BMF) to analyze data from 1,526 investors in China and Vietnam, the findings reveal complex dynamics. We found positive associations between investors’ prioritization of social influence and intuition for investment decision-making with being freeze (i.e., not knowing what (...) to do with the owned stock), between prioritization of professionals’ evaluation and intuition with fleeing (i.e. giving up stock investment permanently), and between prioritization of professionals’ evaluation and social influence with hiding (i.e., stopping investing in stock for a while). In contrast, prioritization of companies’ performance metrics (e.g., net profit, debt, etc.) was negatively associated with being freeze, fleeing, and hiding. Meanwhile, prioritization of professionals’ evaluation, technical analysis, and liquidity was negatively associated with being freeze, fleeing, and hiding, respectively. The study highlights the importance of disseminating transparent, accurate information through government and media channels, along with implementing financial education programs, to promote rational investment decisions and reduce fear-driven behaviors. (shrink)

Studying the psychology behind the purchase of eco-friendly products and second-hand items can offer valuable insights to promote sustainable consumer behavior. This paper examines factors influencing Italian consumers’ willingness to pay regarding bio-based clothing and second-hand items. Drawing from data collected from 402 Italian participants, we examine how motivations and socio-demographic factors are associated with willingness to pay in the context of sustainable fashion. Our findings reveal that motivations related to environmental concerns are positively associated with consumers’ willingness to pay (...) higher premiums for bio-based clothing. Higher income and education levels are also associated with the willingness to pay higher premiums. Meanwhile, motivation related to vintage appeal is associated with lower desired discounts for second-hand items, particularly among older consumers. Gender differences also influence discount preferences, with men seeking larger discounts on second-hand clothing compared to women. By providing insights into Italian consumers’ sustainable fashion choices, this study offers implications for businesses, policymakers, and researchers aiming to promote eco-conscious consumption and sustainability in the fashion industry. (shrink)

Parental influence plays a crucial role in shaping children’s behaviors. While several studies have examined parents’ roles in fostering children’s sustainable habits, they often treat parental influence as a single construct, overlooking the distinct roles of fathers and mothers, as well as the influence of cultural values and norms. This study explores the distinct roles of Chinese fathers and mothers in shaping children’s waste reusing and recycling behaviors. Using Bayesian Mindsponge Framework analytics, the study analyzed responses from 516 children and (...) their corresponding caregivers (either fathers or mothers) from 23 elementary summer schools across five major urban cities in China. The analysis revealed that mothers were central agents of influence, with their recycling behavior and mother-child engagement showing positive and highly reliable associations with children’s waste reusing and recycling practices. The impact of mothers’ recycling behaviors was further amplified by children’s frequency of perceiving their mother’s waste reusing and recycling actions. Meanwhile, fathers’ direct engagement and role modeling (when their actions were frequently perceived by their children) also positively influenced children’s behaviors. Still, these effects were less reliable than those of mothers. These findings suggest that policymakers and educators should design interventions that leverage mothers’ natural role as influencers while actively encouraging greater involvement from fathers in environmental education. (shrink)

Should climate activists be optimistic or pessimistic about the climate crisis and their efforts to confront it? This paper analyses common narratives in the climate movement through the lens of the philosophical traditions of optimism and pessimism, arguing for three points. Firstly, most dominant narratives within the climate movement resemble philosophical optimism through their commitment to political progress and inherent value of climate action. Secondly, optimistic narratives within the climate movement should be rejected, as climate optimism places an overwhelming mental (...) burden on climate activists and drives the climate movement towards bad responses to the inefficacy problem. Finally, the paper sketches pessimism as a better framework that can act as a moral source for climate activists. (shrink)

This article aims at conceptualising the notion of embarrassment as a negativistic figure of thought that takes the experience of one’s own non-sovereignty as a starting point and emphasises an engagement with situations of not-knowing. This consideration is clarified in discussion with the figure of Socrates or with the philosophical attitude of Socrates. Because the negativistic thrust of the conceptualisation undertaken is reminiscent of irony, the paper then addresses the question of what distinguishes embarrassment understood as a figure of thought (...) from irony. For this purpose, Kierkegaard’s reading of Socratic irony is drawn upon. It is shown that irony is inherently a negativism, which in the last consequence aims at a retention of rights; but this is exactly what embarrassment avoids, because, as the article shows, it is not a negativism of strength, but of weakness. (shrink)

This paper introduces a novel method to control the operation of the active suspension system. In this research, a quarter-dynamic model is used to simulate the vehicle’s vibrations. Besides, the sliding mode-PID-integrated algorithm with five state variables is proposed to be used. This is a completely original and novel algorithm. The process of establishing the control algorithm is clearly described. The simulation is performed by the MATLAB software. The results of the paper have shown the advantages of the sliding mode-PID (...) algorithm used in this research. Accordingly, the displacement and acceleration of the sprung mass were significantly reduced when this algorithm was used. The maximum and average values of the displacement of the sprung mass are only 1.31% and 1.29%, respectively, compared with the situation of the vehicle using a passive suspension. Similarly, the value of the acceleration is 6.98% and 2.94%, respectively. In addition, the phenomenon of “chattering” has also been significantly reduced when using this controller. In the future, some more complex algorithms can be proposed. (shrink)

In this paper we study automated reasoning in the modal logic CPDLreg which is a combination of CPDL (Propositional Dynamic Logic with Converse) and REGc (Regular Grammar Logic with Converse). The logic CPDL is widely used in many areas, including program verification, theory of action and change, and knowledge representation. On the other hand, the logic REGc is applicable in reasoning about epistemic states and ontologies (via Description Logics). The modal logic CPDLreg can serve as a technical foundation for reasoning (...) about agency. Even very rich multi-agent logics can be embedded into CPDLreg via a suitable translation. Therefore, CPDLreg can serve as a test bed to implement and possibly verify new ideas without providing specific automated reasoning techniques for the logic in question. This process can to a large extent be automated. The idea of embedding various logics into CPDLreg is illustrated on a rather advanced logic TEAMLOGK designed to specify teamwork in multi-agent systems. Apart from defining informational and motivational attitudes of groups of agents, TEAMLOGK allows for grading agents' beliefs, goals and intentions. The current paper is a companion to our paper (Dunin-Kęplicz et al., 2010a). The main contribution are proofs of soundness and completeness of the tableau calculus for CPDLreg provided in (Dunin-Kęplicz et al., 2010a). (shrink)

We give complete sequent-like tableau systems for the modal logics KB, KDB, K5, and KD5. Analytic cut rules are used to obtain the completeness. Our systems have the analytic superformula property and can thus give a decision procedure. Using the systems, we prove the Craig interpolation lemma for the mentioned logics.

For centuries, fiction—particularly fables—has seamlessly combined storytelling, moral lessons, and societal reflections to engage readers on both emotional and intellectual levels. Despite extensive research on the benefits of reading and the emotional responses it evokes, a critical gap remains in understanding what drives readers to form deep emotional connections with specific works. This study seeks to identify the characteristics of a book that foster such connections. Using Bayesian Mindsponge Framework analytics, we analyzed a dataset of 129 Amazon reviews of Wild (...) Wise Weird, a collection of 42 fables that intertwine traditional storytelling with contemporary sensibilities, offering life lessons, humor, and social commentary. Of these reviews, approximately 66% expressed love for the book. The findings reveal that readers who describe the book as unique, whimsical, quirky, or innovative are more likely to express affection for it. Similarly, readers who are drawn to the book’s illustrations and characters tend to form stronger emotional connections. The cultural richness and representativeness of the book also emerged as significant factors in fostering readers’ love. The book successfully captures and conveys the depth, charm, and moral essence of Vietnamese culture to a global audience. Readers have expressed heartfelt gratitude after engaging with the book, underscoring its success in fostering meaningful emotional connections. Thus, insights from this analysis offer actionable recommendations for stakeholders in the literary ecosystem, from authors and publishers to marketers, to enhance readers’ emotional attachment and commitment to books. (shrink)

Proponents of temporal neutrality have challenged the intuitive appeal of future-bias: The intuitive appeal of future-bias is limited to a set of isolated cases that involve only hedonic and self-regarding goods and harms. They suggest that we should treat future-bias as irrational in self-regarding hedonic cases too, or at least not treat the intuitive appeal as evidence for future-bias's permissibility, since hedonic and non-hedonic cases are relevantly similar. This paper defends the rationality of future-bias against this concern. Firstly, hedonic goods (...) and harms mostly concern well-being at a time, while the proposed non-hedonic goods concern lifetime goodness. This is a relevant structural difference between hedonic and non-hedonic goods and harms that warrant different attitude patterns, including the applicability of future-bias. Secondly, the degree of idealisation required to make intuitions favour temporal neutrality obscures the weight of intuitions to a level that makes it unreliable as evidence against the permissibility of future-bias. As temporal neutralists need this degree of idealisation of their cases, the argument fails. In summary, we can keep using intuitive support as evidence for future-bias's rationality, at least when it comes to hedonic goods, but to some extent for its general permissibility. (shrink)

Philosoph:innen versuchen zunehmend zu erklären, warum die Struktur unseres Lebens normativ bedeutsam ist. Eine beliebte Erklärung, die von Dorsey (2015), Rosati (2013), Glasgow (2013), Kauppinnen (2012) und Velleman (1991) vertreten wird, ist die Narrativitäts-These: Was der Struktur unseres Lebens normative Bedeutung verleiht, sind die narrativen Relationen zwischen Lebensabschnitten, die verschiedene Teile des Lebens einer Person zu etwas Sinnhaftem verbinden. Sie fügen einem Leben einen Wert hinzu, der nicht auf momentanes Wohlbefinden reduziert werden kann. Da die narrative Lebensstruktur normative Bedeutung hat, (...) ist ein Leben mit narrativen Relationen wertvoller als ein Leben ohne diese Beziehungen, da es mehr Sinnhaftigkeit erlangt. Mit anderen Worten: Unter sonst gleichen Bedingungen sollten wir unser Leben als Geschichte leben. In diesem Beitrag wird argumentiert, dass die Narrativitäts-These falsch ist. Weder ist ein Leben besser, wenn es eine Geschichte erzählt, noch müssen wir unser Leben als eine Geschichte leben. Ich zeige drei Fälle, in denen wir intuitiv nicht der Narrativitäts-These folgen sollten, und gebe anschließend eine systematische Erklärung, warum narrative Beziehungen zwischen Lebensabschnitten normativ nicht bedeutsam sind: Es ist rational, uns von unserer Vergangenheit abzukoppeln und vergangenen Ereignissen und Lebensabschnitten keine normative Bedeutung beizumessen. Ich schließe mit einer Diskussion über Verdrängung und narrative Fehlschlüsse über wichtige Teile unserer Vergangenheit und wie wir uns vor beidem schützen können. (shrink)

This research proposes a modified metaheuristic optimization algorithm, named as improved stochastic fractal search, which is formed based on the integration of the quasiopposition-based learning and chaotic local search schemes into the original SFS algorithm for solving the optimal capacitor placement in radial distribution networks. The test problem involves the determination of the optimal number, location, and size of fixed and switched capacitors at different loading conditions so that the network total yearly cost is minimized with simultaneous fulfillment of operating (...) constraints. Also, the hourly on/off scheduling plans of switched shunt capacitors considering a modified cost objective function are obtained. The proposed ISFS algorithm has been tested on two IEEE 69-bus and 119-bus RDNs and a practical 152-bus RDN. For clarifying the effectiveness and validation of the ISFS, the simulated results have been compared with those of other previously utilized solution approaches in the literature as well as the original SFS. From result comparison, the proposed ISFS outperforms other previous approaches regarding solution quality and statistical performance for the compared cases, especially in the complex and large-scale networks. Notably, compared with the original SFS, the proposed ISFS shows a significantly better performance in all the tested cases. (shrink)

Recent significant changes in technology such as Artificial Intelligence and big data analysis have a wide impact in many areas of human societies, not least in education. Advances in efficien...

IntroductionThis study aimed to explore the mental wellbeing profiles and their related factors among urban young adults in Vietnam.MethodsA cross-sectional study was conducted in Hanoi, which is the capital of Vietnam. There were 356 Vietnamese who completed the Mental Health Inventory-5 questionnaire. The Latent Profile Analysis was used to identify the subgroups of mental wellbeing through five items of the MHI-5 scale as the continuous variable. Multinomial logistic regression was used to determine factors related to subgroups.ResultsThree classes represented three levels (...) of MHI-5 score, which included “Poor mental health,” “Fair mental health,” and “Good mental health,” were, respectively, 14.3, 46.6, and 39.0%. Compared to a low household economy, participants with an average household economy had 2.11 and 4.79 times higher odds of being in a good mental health class relative to fair and poor mental health classes. Respondents with more than two acute symptoms had 3.85 times higher odds of being in a good mental health class relative to a poor mental health class, as compared to those without acute symptoms. Regarding the measurement of the Perceived Social Support Scale, people having support from their family had 1.80 and 2.23 times higher odds of being in classes of fair and good mental health relative to the poor mental health class; and participants having friend support also had 1.87 times higher odds of being in a good mental health class compared with the fair mental health class, as the MSPSS score increased by 1 unit. People with Rosenberg’s self-esteem scale increased by 1 score, those who had 1.17, 1.26, and 1.47 times higher odds of being in a good compared to fair mental health class, fair compared to poor mental health class, and good compared to poor mental health class, respectively.ConclusionOur findings were given to promote a new classification method for mental health screening among the general population. The current findings could be used as evidence to develop policies and plans that focus on encouraging early screening for mental health problems among the general young population in the future. (shrink)

This study aims to predict the shear strength of reinforced concrete deep beams based on artificial neural network using four training algorithms, namely, Levenberg–Marquardt, quasi-Newton method, conjugate gradient, and gradient descent. A database containing 106 results of RC deep beam shear strength tests is collected and used to investigate the performance of the four proposed algorithms. The ANN training phase uses 70% of data, randomly taken from the collected dataset, whereas the remaining 30% of data are used for the algorithms’ (...) evaluation process. The ANN structure consists of an input layer with 9 neurons corresponding to 9 input parameters, a hidden layer of 10 neurons, and an output layer with 1 neuron representing the shear strength of RC deep beams. The performance evaluation of the models is performed using statistical criteria, including the correlation coefficient, root mean square error, mean absolute error, and mean absolute percentage error. The results show that the ANN-CG model has the best prediction performance with R = 0.992, RMSE = 14.02, MAE = 14.24, and MAPE = 6.84. The results of this study show that the ANN-CG model can accurately predict the shear strength of RC deep beams, representing a promising and useful alternative design solution for structural engineers. (shrink)

Motivated by the increasing economic significance of investment advisory industries and the prevalence of wrongdoing in financial planning services, we examine whether, and to what extent, employee misconduct is shaped by their local corruption culture. Using novel data of more than 4.7 million adviser-year observations of financial advisers and the Department of Justice’s data on corruption, we find that financial advisers and advisory firms located in areas with higher levels of corruption are more likely to commit misconduct. These results hold (...) for both individual advisor and firm level analyses and are robust to the use of various fixed effects, model specifications, proxies for corruption and misconduct, and an instrumental variable approach. Using the passage of the Dodd-Frank Whistleblower Provision, which provides incentives for reporting corruption incidences and thereby reduces the incentives for fraud, we find that the relation between local corruption culture and adviser misconduct is attenuated after the provision enacted by the SEC. Overall, our study highlights the externalities of corruption culture on individual ethics and the essential role of whistleblowing laws in reducing corruption-prone norms. (shrink)

Both within the climate movement and in academic circles, it has become common advice to avoid despair. Despair about the climate crisis is the opposite of hope and should be avoided on grounds of both rational aptness and pragmatic considerations. Despair about climate breakdown is only rationally apt if it is impossible for our actions to make a difference. As our actions do make a difference, despair is not a fitting response to climate change). Further, we have pragmatic reasons to (...) avoid despair as it leads to apathy and inaction about climate change. This chapter argues that despair is a rationally apt response to the climate crisis. Despair is a fitting response to the structural features of the climate crisis in terms of fragmentation of agency, making despair an accurate representation of a situation lacking agency. Despair is an important source of moral knowledge about the structure of the climate crisis, which is not automatically outweighed by pragmatic reasons and demanding to avoid despair can lead to affective injustice. The chapter closes with considerations of whether despair really does hinder moral imagination. (shrink)