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)

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 $\bbfR$.

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)

By using multilevel mediation involving 322,589 posts made by 384 musicians over 104 weeks, we simultaneously analyze the short-term and long-term effects of charity-related signaling on sales, with social media engagement as the mediator. Specifically, we compare the effects of charity-related signals with those of two other types of signals: mission-related (i.e., promoting music and commercial products) and non-mission-related (i.e., other posts that do not relate to the other two categories). In the short term, the indirect effect of using charity (...) signaling on sales (through engagement) is positive, though smaller than the effects of mission-related and non-mission related signals. However, in the long term, the indirect effect of regularly using charity-related signaling on sales (through long-term engagement) is greater than for the effects involving the other types of signals. We derive from these findings three main implications for the business ethics literature. First, in the long term, the mutual economic benefits of charity signaling should encourage both entities (i.e., musicians and charities) to go beyond short-term, transactional philanthropy. Second, because it is profitable for musicians to partner with charities in the long-term, our research argues that charities have extensive bargaining power in such co-branding decisions. Third, our research highlights the importance of studying the longitudinal aspects of co-branding decisions involving non-profit organizations; the financial outlook of such decisions could greatly vary depending on the timeframe (i.e., short vs. long). (shrink)

This collection begins with an engaging historical overview of Japanese aesthetics and offers contemporary multidisciplinary and interdisciplinary perspectives on the artistic and aesthetic traditions of Japan and the central themes in Japanese art and aesthetics.

Traditional engineering courses typically approach teaching and problem solving by focusing on the physical dimensions of those problems without consideration of dynamic social and ethical dimensions. As such, projects can fail to consider human rights, community questions and concerns, broader impacts upon society, or otherwise result in inequitable outcomes. And, despite the fact that students in engineering receive training on the Professional Code of Ethics for Engineers, to which they are expected to adhere in practice, many students are unable to (...) recognize and analyze real-life ethical challenges as they arise. Indeed, research has found that students are typically less engaged with ethics—defined as the sensitivity and judgment of microethics and macroethics, sensitivity to diversity, and interest in promoting organizational ethical culture—at the end of their engineering studies than they were at the beginning. As such, many studies have focused on developing and improving the curriculum surrounding ethics through, for instance, exposing students to ethics case studies. However, such ethics courses often present a narrow and simplified view of ethics that students may struggle to integrate with their broader experience as engineers. Thus, there is a critical need to unpack the complexity of ethical behavior amongst engineering students in order to determine how to better foster ethical judgment and behavior. Promoting ethical behavior among engineering students and developing a culture of ethical behavior within institutions have become goals of many engineering programs. Towards this goal, we would like to present an overview of the current scholarship of engineering ethics and propose a theoretical framework of ethical behavior using a review of articles related to engineering ethics from 1997-2020. The review engages in theories across disciplines including philosophy, education, and psychology. In this work-in-progress paper, we present a subset of initial results based on a review of the first 50 articles out of the systematically selected 409 articles from Springer, Engineering Village, and EBSCO-Education Full Text. Preliminary results identify two major kinds of drivers of ethical behavior, namely individual level ethical behavior drivers and institutional drivers. Our preliminary results indicate that a sensitivity to both microethics and macroethics as well as the implicit and explicit understanding of ethics are essential in promoting ethical behavior amongst students. Furthermore, while drivers of ethical behavior at the individual level is important, one should not ignore the roles of the drivers of ethical behavior at the institutional level in promoting a collective ethical culture within organizations. The review also points to a need to focus on increasing students’ macroethical sensitivity to topics such as sustainability and protection of human rights. This research thus addresses the need, driven by existing scholarship, 2 to identify a conceptual framework for explaining how ethical judgment and behavior in engineering can be further promoted. (shrink)

ABSTRACT: What explains first-person authority? What explains the presumption that an utterance is true when it is a sincere intelligible determinate first-person singular simple present-tense ascription of intentional state? According to Rockney Jacobsen, self-ascriptions each enjoy a presumption of truth because they are systematically reliable. They are systematically reliable because they are typically both truth-assessable and expressive. Such self-ascriptions, if sincere, are certain to be true. This article presents a defence and a critique of Jacobsen's theory. It is argued that (...) the purported prevalence of expressive self-ascriptions is at best contingent. This contingency cannot explain why self-ascriptions are necessarily authoritative.RÉSUMÉ: Comment expliquer l'autorité de la première personne? Comment expliquer la présomption qu'un énoncé est vrai lorsque c'est une attribution d'un état intentionnel, sincère et intelligible, à la première personne du singulier de l'indicatif présent. Selon Rockney Jacobsen, les auto-attributions jouissent d'une présomption de vérité parce qu'elles sont systématiquement fiables. Elles sont systématiquement fiables parce qu'elles ont pour caractéristique d'être à la fois expressives et évaluables en termes de vérité. Si de telles auto-attributions sont sincères, elles sont certainement vraies. Cet article présente une défense et une critique de la théorie deJacobsen. L'auteur soutient que la prétendue prévalence des auto-attributions expressives est au mieux contingente. Cette contingence ne peut pas expliquer pourquoi il est nécessaire que les auto-attributions fassent autorité. (shrink)

This paper provides a detailed account of the normal importance of self-knowledge. I critique two previous accounts, one developed by Bilgrami and the other inspired by Putnam. It is argued that the former conflates self-beliefs with the intentional states that these higher-order beliefs are about, whereas the latter shows only that true beliefs of certain kinds—as opposed to true self-beliefs simpliciter—improve our chances of survival. Self-knowledge is valuable for four reasons. First, it improves our chances of survival because it enables (...) us to assess our intentional states and adjust our behavior. Second, it plays a critical role in effecting cooperation because the efficient pursuit of common goals requires that one communicate to others information about one’s beliefs and desires. Third, it provides protection against psychopathologies such as anxiety and narcissism because it enables the agent to assume responsibility for his thoughts and actions. Fourth, it enhances the agent’s self-confidence and happiness because the less he doubts that his successes are the result of his acting on his attitudes and abilities, the more self-confident and happier he is. I conclude with a discussion of the disadvantages of self-knowledge and the advantages of self-ignorance and self-error. (shrink)

In his recent work, Dretske offers a new account of what it is for a mental state, in particular, a sensory experience, to be conscious. According to Dretske’sproposal, subject S’s experience of object O is conscious if and only if it makes S aware of O. This proposal is argued to be open to only two serious interpretations. The first takes it to mean that S’s experience of O is conscious if and only if it constitutes S’s awareness of O, (...) whereas the second takes it to mean that S’s experience of O is conscious if and only if it causes S’s awareness of O. It is argued that neither is a plausible way to understand the nature of state consciousness, because the constitutive interpretation implausibly denies the existence of unconscious veridical experiences, whereas the causal interpretation implausibly casts S’s veridical experience of O, rather than O or a certain external event involving O, as the relevant cause of S’s awareness of O. (shrink)

In his recent work, Dretske offers a new account of what it is for a mental state, in particular, a sensory experience, to be conscious. According to Dretske’sproposal, subject S’s experience of object O is conscious if and only if it makes S aware of O. This proposal is argued to be open to only two serious interpretations. The first takes it to mean that S’s experience of O is conscious if and only if it constitutes S’s awareness of O, (...) whereas the second takes it to mean that S’s experience of O is conscious if and only if it causes S’s awareness of O. It is argued that neither is a plausible way to understand the nature of state consciousness, because the constitutive interpretation implausibly denies the existence of unconscious veridical experiences, whereas the causal interpretation implausibly casts S’s veridical experience of O, rather than O or a certain external event involving O, as the relevant cause of S’s awareness of O. (shrink)

In a series of closely connected papers, Rosenthal has defended what has come to be known as “the higher-order thought theory of state-consciousness.” According to this theory, a mental state which one instantiates is conscious if and only if one is conscious of being in it in some relevant way, and one’s being conscious of being in the state which is conscious consists in one’s having a contemporaneous thought to the effect that one is in that state. The main aim (...) of this paper is to disarm a Searle-style objection to Rosenthal’s account of state-consciousness, one that takes mentality, in particular intentionality, to presuppose state-consciousness. It is argued that the Searlean attempt to convict Rosenthal’s hypothesis of circularity fails, because the postulation of what Searle called “subjective ontology,” as well as the requirement that there be an uncancelable connection between mode of representation and state-consciousness, is unreasonable. While defending Rosenthal against Searle, this paper also aims to develop a fresh objection to the higher-order thought conception of state-consciousness. (shrink)

In a series of closely connected papers, Rosenthal has defended what has come to be known as “the higher-order thought theory of state-consciousness.” According to this theory, a mental state which one instantiates is conscious if and only if one is conscious of being in it in some relevant way, and one’s being conscious of being in the state which is conscious consists in one’s having a contemporaneous thought to the effect that one is in that state. The main aim (...) of this paper is to disarm a Searle-style objection to Rosenthal’s account of state-consciousness, one that takes mentality, in particular intentionality, to presuppose state-consciousness. It is argued that the Searlean attempt to convict Rosenthal’s hypothesis of circularity fails, because the postulation of what Searle called “subjective ontology,” as well as the requirement that there be an uncancelable connection between mode of representation and state-consciousness, is unreasonable. While defending Rosenthal against Searle, this paper also aims to develop a fresh objection to the higher-order thought conception of state-consciousness. (shrink)

In his recent book, Why I Am Not a Buddhist, Evan Thompson argues that inter-tradition or cross-cultural philosophical dialogue ought to be governed by cosmopolitan conversational norms that do not subsume any one tradition’s deep commitments under those of any other tradition, but rather bring those commitments into the discussion so that they can be challenged and defended. He argues on this basis for the application of a deeply contextualist and historicist interpretive methodology to Buddhist texts, concepts, and theories in (...) dialogue with philosophy and contemporary cognitive sciences. Buddhist modernism, in eschewing that deeply contextualist and historicist methodology, falls short of those cosmopolitan commitments. We argue that Thompson’s cosmopolitan commitments do not mandate the deeply contextualist and historicist methodology he recommends. As an alternative, we propose a creolizing methodology that finds value in mixing, reinterpreting, and reinventing cultural traditions and other forms of belonging to address the complex problems the world faces. We suggest that such a creolizing methodology can be found in other forms of Buddhist modernism than those Thompson criticizes. We provide, as two examples, the thought of the Chinese monk Taixu and the Vietnamese monk Thich Nhat Hanh. (shrink)

This paper proposes several recurrent neural network-based models for recognizing requisite and effectuation parts in Legal Texts. Firstly, we propose a modification of BiLSTM-CRF model that allows the use of external features to improve the performance of deep learning models in case large annotated corpora are not available. However, this model can only recognize RE parts which are not overlapped. Secondly, we propose two approaches for recognizing overlapping RE parts including the cascading approach which uses the sequence of BiLSTM-CRF models (...) and the unified model approach with the multilayer BiLSTM-CRF model and the multilayer BiLSTM-MLP-CRF model. Experimental results on two Japan law RRE datasets demonstrated advantages of our proposed models. For the Japanese National Pension Law dataset, our approaches obtained an \ score of 93.27% and exhibited a significant improvement compared to previous approaches. For the Japan Civil Code RRE dataset which is written in English, our approaches produced an \ score of 78.24% in recognizing RE parts that exhibited a significant improvement over strong baselines. In addition, using external features and in-domain pre-trained word embeddings also improved the performance of RRE 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)

Vietnam is a communist country. For a Marxist ideologue, “religion is the opium of the masses.” But many communist countries—over the years—have evolved from a strictly atheistic persuasion to a tolerance for religious practices. Except probably in North Korea, this transformation from an atheistic perspective to religious tolerance has become a phenomenon in communist countries like Russia and China.Vietnam did not have that experience. This paper will show that religious pluralism was tolerated, even accepted, in communist Vietnam. I will show (...) how vibrant this religious amalgamation is in Vietnam and demonstrate, as in the case of market economics thriving in communist countries, that Vietnamese communism and religious pluralism can robustly coexist with each other. (shrink)

Case law retrieval is the task of locating truly relevant legal cases given an input query case. Unlike information retrieval for general texts, this task is more complex with two phases (legal case retrieval and legal case entailment) and much harder due to a number of reasons. First, both the query and candidate cases are long documents consisting of several paragraphs. This makes it difficult to model with representation learning that usually has restriction on input length. Second, the concept of (...) relevancy in this domain is defined based on the legal relation that goes beyond the lexical or topical relevance. This is a real challenge because normal text matching will not work. Third, building a large and accurate legal case dataset requires a lot of effort and expertise. This is obviously an obstacle to creating enough data for training deep retrieval models. In this paper, we propose a novel approach called supporting model that can deal with both phases. The underlying idea is the case–case supporting relation and the paragraph–paragraph as well as the decision-paragraph matching strategy. In addition, we propose a method to automatically create a large weak-labeling dataset to overcome the lack of data. The experiments showed that our solution has achieved the state-of-the-art results for both case retrieval and case entailment phases. (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)

Food security is one of the major concerns in the Philippines. Although livestock and poultry production accounts for a significant proportion of the country’s agricultural output, smallholder households are still vulnerable to food insecurity. The current study aims to examine how livestock production and selling difficulties affect smallholder households’ food-insecure conditions. For this objective, Bayesian Mindsponge Framework (BMF) analytics was employed on a dataset of the Food and Agriculture Organization’s Data in Emergencies Monitoring (DIEM) system. We found that production and (...) selling difficulties significantly adversely affect food insecurity in the Philippines. However, their effects vary according to the severity of food insecurity. In particular, production and selling difficulties affect the households’ likelihood of eating less healthy and nutritious food equally. However, the production difficulties have more negligible impacts on the possibility of skipping meals and even ambiguous impacts on the likelihood of not eating for a whole day compared to the effects of selling difficulties. Moreover, we also found that the market plays a crucial role in facilitating not only livestock trading but also livestock production (e.g., purchase of feed and medicines). Based on these findings, we suggest that the livestock market needs to be expanded and regulated to maintain the balancing prices between livestock products and products and services used for livestock production, and facilitate the product-exchanging mechanism. (shrink)

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)

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.

Products made from animal fur and skin have been a major part of human civilization. However, in modern society, the unsustainable consumption of these products – often considered luxury goods – has many negative environmental impacts. This study explores how people’s perceptions of biodiversity affect their attitudes and behaviors toward consumption. To investigate the information process deeper, we add the moderation of beliefs about biodiversity loss. Following the Bayesian Mindsponge Framework (BMF) analytics, we use mindsponge-based reasoning for constructing conceptual models (...) and employ Bayesian analysis aided by Markov Chain Monte Carlo (MCMC) algorithms on a dataset of 535 Vietnamese urban residents. The results show that people’s preference for using products made from animal skin/fur is negatively associated with perceived consequences of biodiversity loss when they believe biodiversity loss is real and a major problem. In contrast, if urban residents believe biodiversity loss is unreal or not a significant issue, the association between perceived consequences of biodiversity loss and personal preference happens in the opposite direction. The same effects of biodiversity loss perception on people’s possession of skin/fur products was not found, indicating a more complex information process on behaviors compared to attitudes. Nevertheless, in the scenario that people believe biodiversity loss is not a significant issue, the higher the perceived consequences of biodiversity loss are, the greater number of animal-based products they likely own. Our results suggest that policymakers should not neglect the factor of personal belief besides knowledge and awareness in environmental campaigns. (shrink)

Academia is a competitive environment. Early Career Researchers (ECRs) are limited in experience and resources and especially need achievements to secure and expand their careers. To help with these issues, this book offers a new approach for conducting research using the combination of mindsponge innovative thinking and Bayesian analytics. This is not just another analytics book. 1. A new perspective on psychological processes: Mindsponge is a novel approach for examining the human mind’s information processing mechanism. This conceptual framework is used (...) to construct models in studies. The framework is highly flexible and widely applicable for many different types of information processes. The mindsponge approach can help researchers discover interesting ideas or even formulate their very own theories when investigating psychosocial phenomena. This approach brings a fresh wind to the current landscape of social sciences and humanities (SSH). 2. Easy-to-follow analysis protocol: The Bayesian Mindsponge Framework (BMF analytics) is useful in terms of computing and visualizing power but also easy to learn and apply. Contrary to being intimidating, the Bayesian analytics section of this book is presented in a reader-friendly manner with a detailed yet clear step-by-step procedure. Examples are from published BMF articles, allowing readers to immediately practice the method and quickly create their own applications. With educational purposes in mind, the book is very suitable for ECRs who are looking to innovate their research methods. 3. Advocating for low-cost, high-quality research: Doing science can be very costly. Mindsponge innovative thinking and BMF analytics help produce impactful studies using openly available data on online repositories. This is based on the authors’ previous works and experiences. The book presents examples of employing the open R package bayesvl on secondary data from different sources. With less financial constraints, researchers can have more freedom of thought to pursue their curiosity and creativity. ECRs in low- and middle-income countries may find this aspect crucial in their careers. 4. Support and collaboration: The authors share their insights from experiences in the academic publishing system to help readers get through the processes of manuscript writing and peer-reviewing more easily. The authors are also ready to support other researchers with further inquiries and collaboration opportunities at the following website, mindsponge(dot)info. This book is for: a) ECRs whose only abundant resources are their innovation capacity and strength of will; b) Researchers in SSH who want to explore a novel approach to thinking and study conducting; c) Low- and middle-income countries’ researchers looking for a cost-effective research protocol; and, d) Innovative thinkers who want to turn their interesting thoughts into good publications. (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)

Climate change has become one of the most pressing problems that can threaten the existence and development of humans around the globe. Almost all climate scientists have agreed that climate change is happening and is caused mainly by greenhouse gas emissions induced by anthropogenic activities. However, some groups still deny this fact or do not believe that climate change results from human activities. This essay discusses the causes, significance, and skeptical arguments of climate change denialism, as well as the roles (...) of scientists and science communication in addressing the issues. Through this essay, we call for the active participation of scientists in science communication activities with the public, the opening of new science communication sectors specified for climate change, and more attention to social sciences and humanities in addressing climate change issues. (shrink)

We present an argument-based formalism of contract dispute resolution following a modern view that the court would resolve a contract dispute by enforcing an interpretation of contract that reasonably represents the mutual intention of contract parties. Legal doctrines provide principles, rules and guidelines for the court to objectively arrive at such an interpretation. In this paper, we establish the appropriateness of the formalism by applying it to resolve disputes about performance relief with the legal doctrines of impossibility and frustration of (...) purpose in common laws of contract. The formalism is based on modular argumentation, a recently proposed extension of assumption-based argumentation for modelling contract dispute resolution. (shrink)

Legal text retrieval serves as a key component in a wide range of legal text processing tasks such as legal question answering, legal case entailment, and statute law retrieval. The performance of legal text retrieval depends, to a large extent, on the representation of text, both query and legal documents. Based on good representations, a legal text retrieval model can effectively match the query to its relevant documents. Because legal documents often contain long articles and only some parts are relevant (...) to queries, it is quite a challenge for existing models to represent such documents. In this paper, we study the use of attentive neural network-based text representation for statute law document retrieval. We propose a general approach using deep neural networks with attention mechanisms. Based on it, we develop two hierarchical architectures with sparse attention to represent long sentences and articles, and we name them Attentive CNN and Paraformer. The methods are evaluated on datasets of different sizes and characteristics in English, Japanese, and Vietnamese. Experimental results show that: (i) Attentive neural methods substantially outperform non-neural methods in terms of retrieval performance across datasets and languages; (ii) Pretrained transformer-based models achieve better accuracy on small datasets at the cost of high computational complexity while lighter weight Attentive CNN achieves better accuracy on large datasets; and (iii) Our proposed Paraformer outperforms state-of-the-art methods on COLIEE dataset, achieving the highest recall and F2 scores in the top-N retrieval task. (shrink)

Business Ethics, the Environment &Responsibility, Volume 31, Issue 4, Page 904-922, October 2022.

With growing global concerns about water scarcity and environmental sustainability, understanding the factors influencing individual water conservation behaviors is crucial. This study utilizes the Bayesian Mindsponge Framework (BMF) analytics to investigate the relationship between concerns of local issues and water conservation behaviors in a sample of 1831 residents in Albuquerque, New Mexico, USA. New Mexico is an arid region of which 90% faced severe drought driven by the most significant wildfire in state history and some of the driest months ever (...) recorded in 2022. The results show a positive association between the drought or water scarcity concern and the number of water conservation behaviors adopted. Likewise, the positive association between the concern about population growth and development and water conservation behaviors is also observed. However, further examination is needed due to the weak reliability of this relationship. In contrast, negative associations between concerns about water quality and water bills with water conservation behaviors are also identified. Based on these findings, the study discusses the potential of building the eco-surplus culture by improving information dissemination of water-saving methods and existing water-related issues in the local areas. (shrink)

Marine and coastal ecosystems are crucial in maintaining human livelihood, facilitating social development, and reducing climate change impacts. Studies have examined how the benefit perception of aquatic ecosystems, knowledge, and emotion about climate change affect peoples’ support for marine protection. However, their interaction effects remain understudied. The current study explores the intricate interaction effect of the benefit perception of aquatic ecosystems, knowledge, and worry about climate change on marine protection support. Bayesian Mindsponge Framework (BMF) analytics was employed on a dataset (...) of 709 stakeholders from 42 countries generated by MaCoBioS—a research project funded by the European Commission Horizon 2020. The statistical analysis shows that the impacts of benefit perception of ocean ecosystems, knowledge, and worry about climate change on marine protection support vary due to their interactions. Specifically, when stakeholders perceive ocean ecosystems to have little utility in mitigating climate change, greater climate change knowledge and concern are associated with a higher level of marine protection support. Nevertheless, in the scenarios where stakeholders perceive the benefits of ocean ecosystems, the effect of climate change knowledge becomes conditional on the worry level. If stakeholders are concerned about climate change, those with a greater level of climate change knowledge will associate with a higher level of marine protection support. Otherwise, greater climate change knowledge will result in lower support. These findings highlight emotion’s importance in directing climate change knowledge’s effect on marine protection support. Linking people’s “objects of care” to the consequences of climate change can help improve climate change communication effectiveness. (shrink)

Community and stakeholder support for marine and coastal ecosystem conservation policies is crucial. However, extant multinational studies on climate change-related factors that constrain stakeholders’ willingness to protect the ocean are limited. Therefore, the dataset from 709 marine stakeholders across 42 countries, part of the MaCoBioS project funded by the European Commission, was analyzed using the Bayesian Mindsponge Framework (BMF) method to fill the knowledge gap. The findings reveal that for individuals who think society is doing too much to address climate (...) change, new technologies can solve climate change. Responses to climate change can damage the country’s economy and might not be productive in supporting actions protecting the ocean. Based on the study results, we recommend policymakers raise awareness among individuals engaged in marine and coastal ecosystems about the crucial role of marine protection in combating climate change, taking into account the limitations of technology in solving climate change problems and the inadequacy of current efforts. The findings also provide insights for enhancing the effectiveness of awareness and knowledge-raising campaigns, conservation programs, and eco-surplus culture-building agenda. (shrink)

Pacific Conservation Biology has officially published the manuscript. The article can be accessed using the following DOI:10.1071/PC23044.

The rapidly declining biosphere integrity, representing one of the core planetary boundaries, is alarming. One of the most widely accepted measures to halt the rate of biodiversity loss is to maintain and expand protected areas that are effectively managed. However, it requires substantial finance derived from nature-based tourism, specifically visitors from urban areas. Using the Bayesian Mindsponge Framework (BMF) on 535 Vietnamese urban residents, the current study examined how their biodiversity loss perceptions can affect their willingness to pay for the (...) entrance fee and conservation in protected areas. We found that perceived environmental degradation, loss of economic growth, loss of nature-based recreation opportunity, and loss of knowledge as consequences of biodiversity loss has indirect effects on paying willingness through the mediation of the attitude towards conservation. Especially, the perceived knowledge loss also has a direct positive influence on the willingness to pay for the entrance fee and conservation. In contrast, perceived loss of health is negatively associated with the attitude towards conservation. Based on these findings, we suggest that building an eco-surplus culture among urban residents can be a promising way to generate more finance from nature-based tourism for conservation in protected areas and ease the domestic government's and international organizations' funding allocations problems. (shrink)

Coastal protection is crucial to human development since the ocean has many values associated with the economy, ecosystem, and culture. However, most ocean protecting efforts are currently ineffective due to the burdens of finance, lack of appropriate management, and international cooperation regimes. For aiding bottom-up initiatives for ocean protection support, this study employed the Mindsponge Theory to examine how the public’s perceived economic and cultural values influence their willingness to support actions to protect the ocean. Analyzing the European-Union-Horizon-2020-funded dataset of (...) 709 respondents from 42 countries, we discovered that perceived economic values have negative effects on the tendency of ocean protection supports (i.e., food, transportation, renewable energy, oil and gas, and recreation). In contrast, certain perceived cultural values can help increase the willingness to do so (i.e., mental well-being and sense of identity). However, the effects of perceived cultural values are only moderately reliable. These findings suggest that designing cultural information delivery campaigns can help promote coastal reserve supports, such as fundraisings and preserving the oceans from the community. (shrink)

Extant literature suggests a positive correlation between social trust (also called generalized trust) and life satisfaction. However, the psychological pathways underlying this relationship can be complex. Using the Bayesian Mindsponge Framework (BMF), we examined the influence of social trust in a high-violence environment. Employing Bayesian analysis on a sample of 1237 adults in Cali, Colombia, we found that in a linear relationship, generalized trust is positively associated with life satisfaction. However, in a model including the interactions between trust and education (...) level as well as between trust and socioeconomic status, generalized trust is found to be negatively associated with life satisfaction. In this non-linear relationship, both education level and socioeconomic status have moderating effects against the negative association between generalized trust and life satisfaction. In other words, less educated people living in worse socioeconomic conditions are more likely to have lower life satisfaction when they have higher levels of social trust. In contrast, highly educated people living in better socioeconomic conditions are more likely to have higher life satisfaction when they have higher levels of social trust. Due to the facilitating function of trust in information processing, lowering the rigor of the filtering system in a high-violence social environment will likely put an individual at risk. Based on our findings, we suggest that policymakers should consider the impacts of social contexts when advocating for increasing social trust. We also recommend that researchers carefully examine the psychological mechanism underlying an observed association before making suggestions for policymaking. (shrink)

The issue of climate change poses an important problem that requires immediate collaboration from everyone, including individuals, governments, and businesses. While consumption culture constitutes a significant proportion of greenhouse gas emissions, most of these emissions are caused by the consumption of the wealthiest. In this article, we will explore the challenges that consumer culture has exacerbated regarding climate change and propose that transitioning to a simpler and more sustainable lifestyle could be an effective solution in the fight against climate change. (...) Such transitions can be leveraged through the inspiration of celebrities (e.g., Keanu Reeves, Chow Yun-fat, Kristen Bell, Leonardo DiCaprio) that pursue simple, non-glamorous lifestyles that do not promote excessive consumerism. (shrink)

Climate change, primarily driven by human activities, is becoming one of the most urgent global challenges of our time. Despite lingering doubts about climate change in some research documents, strong consensus within the scientific community still affirms that global surface temperatures have risen in recent decades. Over the past decade, significant efforts have been made by humans to address the climate change crisis, resulting in certain impacts in combating climate change and raising awareness about its consequences. However, the question remains: (...) Are we heading in the right direction to effectively address this crisis, or do we need to reconsider our approach? This essay will examine some of major achievements in the fight against climate change, the increasing awareness of its impacts, the escalating severity of the climate crisis, and whether our actions are on the right track or require reevaluation. (shrink)

Extant literature suggests a positive correlation between social trust (also called generalized trust) and life satisfaction. However, the psychological pathways underlying this relationship can be complex. Using the Bayesian Mindsponge Framework (BMF), we examined the influence of social trust in a high-violence environment. Employing Bayesian analysis on a sample of 1237 adults in Cali, Colombia, we found that in a linear relationship, generalized trust is positively associated with life satisfaction. However, in a model including the interactions between trust and education (...) level as well as between trust and socioeconomic status, generalized trust is found to be negatively associated with life satisfaction. In this non-linear relationship, both education level and socioeconomic status have moderating effects against the negative association between generalized trust and life satisfaction. In other words, less educated people living in worse socioeconomic conditions are more likely to have lower life satisfaction when they have higher levels of social trust. In contrast, highly educated people living in better socioeconomic conditions are more likely to have higher life satisfaction when they have higher levels of social trust. Due to the facilitating function of trust in information processing, lowering the rigor of the filtering system in a high-violence social environment will likely put an individual at risk. Based on our findings, we suggest that policymakers should consider the impacts of social contexts when advocating for increasing social trust. We also recommend that researchers carefully examine the psychological mechanism underlying an observed association before making suggestions for policymaking. (shrink)

The military-industrial complex, military operations, and wars are major contributors to exacerbating both climate change and biodiversity crises. However, their environmental impacts are often shadowed due to national security reasons. The current paper aims to go through the devastating impacts of military operations and wars on climate change and biodiversity loss and challenges that hinder the inclusion of military-related activities into environmental crisis mitigation efforts. The information blind spot induced by concerns about national security reasons jeopardizes the efforts to involve (...) the military-industrial complex and military operations in the global climate and biodiversity agendas. Besides that, many military-related challenges, such as specificity of operational requirements and lifecycles, dependence on fossil fuels, complex supply change, inadequate civilian technologies and innovations, and requirements of structural changes, can hinder emission reduction. Meanwhile, wars and conflicts not only threaten to drain all human and material resources available to tackle environmental problems but also inflict long-lasting destructions, pains, and trauma that can lead to hatred and distrust among nations and parties. With the rising hatred and distrust, global agreement and commitment to address climate change and biodiversity will hardly be achieved. Thus, promoting peace is the humanistic and planetary conscience. (shrink)

The three learning modalities in nursing education are classroom meetings, skill laboratory practices, and clinical practice in hospital or community settings. In clinical internships, the collaborative self-directed learning method is highly encouraged among nursing students. The use of information and communication technologies (ICT) in clinical learning supports the implementation of evidence-based nursing and student-centered learning. The current study examines whether the relationship between social influence and ICT using intention is moderated by the daily duration of use and the number of (...) classmates being friends on social media. The Bayesian Mindsponge Framework (BMF) analytics was employed on a dataset of 702 Moroccan nursing students. We found that social influence was positively associated with nursing students’ intention to use ICT for clinical learning during the internship. This positive association was positively moderated by the daily duration of social media usage and negatively moderated by the number of classmates being friends on social media. These findings underscore the potential of using social media platforms to facilitate the incorporation of ICT and social media in nursing education and training. However, the adverse effects of social media on students’ mental well-being also need to be acknowledged and managed appropriately. (shrink)

Food prices are a daily concern in many households’ decision-making, especially when people want to have healthier diets. Employing Bayesian Mindsponge Framework (BMF) analytics on a dataset of 710 Indonesian citizens, we found that people from wealthier households are less likely to have concerns about food prices. However, the degree of health considerations in food consumption was found to moderate against the above association. In other words, people of higher income-based social classes may worry more about food prices if they (...) care more about the health impacts of their food choices. These findings provide more insights for policymakers on the psychological aspects of promoting the balance between finance and health in food consumption. (shrink)

In the trust-health relationship, how trusting other people in society may promote good health is a topic often examined. However, the other direction of influence – how health may affect trust – has not been well explored. In order to investigate this possible effect, we employed Bayesian Mindsponge Framework (BMF) analytics to go deeper into the information processing mechanisms underlying the expressions of trust. Conducting Bayesian analysis on a dataset of 1237 residents from Cali, Colombia, we found that general health (...) status is positively associated with generalized trust, but recent experiences of illnesses/injuries have a negative moderating effect. Personalized trust is largely unchanged across different general health conditions, but the trust level becomes higher with recent experiences of illnesses/injuries. Psychophysiological mechanisms of increasing information filtering intensity toward unfamiliar sources during a vulnerable state of health is a plausible explanation of found patterns in generalized trust. Because established personal relationships are reinforced information channels, personalized trust is not affected as much. Rather, the results suggest that people may rely even more on loved ones when they are in bad health conditions. This exploratory study shows that the trust-health relationship can be examined from a different angle that may provide new insights. (shrink)