Reasonable Complexity Research Articles

Using cinema to enhance moral reasoning and cognitive complexity of Amazonian indigenous leaders

ABSTRACT Several research studies acknowledge the pedagogical and ethical potential of cinema, as well as its utility for moral education. With this in mind and utilizing a mixed-method approach, this paper presents the qualitative changes in cognitive complexity and moral reasoning observed in a group of Amazonian indigenous adults after their participation in an intercultural moral education program using film discussions. Participants were nine Shipibo-Konibo, Awajún and Asháninka peoples, with formal education, and familiar with cinema, from the Amazonian region of Ucayali, Peru. To assess cognitive complexity, the McDaniel and Lawrence scale was employed, while moral reasoning was evaluated using the Heinz dilemma. Qualitative content analysis revealed a development in cognitive complexity and moral reasoning among certain participants. The results are discussed with an emphasis on aspects of the program that can be replicated when working with Amazonian indigenous peoples.

Cross-domain coreference modeling in dialogue state tracking with prompt learning

Dialogue state tracking (DST) is to identify user goals from dialogue context and it is an essential component in task-oriented dialogue systems. In multi-domain task-oriented dialogues, a user often refers to the information mentioned in the previous context when the topic is transferred to another domain. Accurate modeling of the cross-domain coreference plays an important role in building qualified DST systems. As far as we know, there is only one work attempting to model the cross-domain coreference phenomenon in DST. However, it still has low efficiency and suffers from the difficulty of handling the complex reasoning over the dialogue context. To tackle these problems, in this paper, we propose a simple but effective DST model, called Coref-DST, to track the cross-domain coreference slots. Instead of predicting the actual values via complex reasoning, Coref-DST directly identifies the coreferred domains and slots from the dialogue context. Moreover, a domain-specific prompt method is proposed to predict all the slot values in a domain simultaneously, so as to better capture the relationship among the slots. The extensive experimental results on the MultiWOZ 2.3 dataset demonstrate that Coref-DST not only outperforms the state-of-the-art DST baselines but also has higher efficiency of training and inference.

Coping With Stressors and General Resistance Resources Used by Individuals Experiencing Homelessness in Minneapolis Tent Camps

Homelessness remains a significant public health issue across the United States, particularly in urban areas. Individuals become and remain homeless for multifaceted and complex reasons that are linked to well-being. The aim of this study was to understand the well-being of persons experiencing homelessness (PEH) and living in tent camps using Aaron Antonovsky’s salutogenic model of health (SMH). To address well-being, we conducted a basic qualitative study with thirty adults over age 18 who self-identified as homeless and living in tent camps within the city of Minneapolis. With a semi-structured interview guide that centered on the SMH, we analyzed data using Johnny Saldaña’s qualitative coding method. Sources of stress themes, including (1) “family trauma” (depression/trauma related to the death of a loved one and drugs, imprisonment, and abuse), (2) “mental health” (depression/trauma related to the death of a loved one, loneliness living in tent camps, substance use, mental illness), and (3) “change and threats” (constant fear of aggression, lack of stability of the tent camp, bad people causing problems, cliques in the camp). Themes of general resistance (GRRs) resources (coping with stress), or GRRs emerged, including (1) “systems knowledge,” (2) “coping strategies,” (3) “sense of community,” (4) “camp stability,” and (5) “human dignity” emerged during data collection and analysis. These findings can inform policy decisions related to increasing services to exit homelessness, funding for sustainable tent camps, and sweeps of tent camps in the city of Minneapolis and beyond.

Evaluation on ChatGPT for Chinese Language Understanding

ABSTRACT ChatGPT has attracted extension attention of academia and industry. This paper aims to evaluate ChatGPT in Chinese language understanding capability on 6 tasks using 11 datasets. Experiments indicate that ChatGPT achieved competitive results in sentiment analysis, summary, and reading comprehension in Chinese, while it is prone to factual errors in closed-book QA. Further, on two more difficult Chinese understanding tasks, that is, idiom fill-in-the-blank and cants understanding, we found that a simple chain-of-thought prompt can improve the accuracy of ChatGPT in complex reasoning. This paper further analyses the possible risks of using ChatGPT based on the results. Finally, we briefly describe the research and development progress of our ChatBIT.

1 Moral Reasoning in Individuals with Agenesis of the Corpus Callosum

Objective:Previous research has demonstrated that individuals with Agenesis of the Corpus Callosum (AgCC), the congenital absence of all or part of the corpus callosum, exhibit a pattern of cognitive and psychosocial deficits, even with a FSIQ in the normal range (FSIQ > 80; Brown & Paul, 2019). This includes a core deficit in their complex reasoning and novel problem-solving (Brown & Paul, 2019), with secondary deficits in capacity to imagine complex emotional/cognitive consequences of potential actions involving others (Young et al, 2019), deficits in emotionperception (Symington et at., 2010, Bridgman et al 2014), and difficulty with cognitively processing emotions within the context of social interactions (Anderson et al., 2017). This constellation of deficits is likely to also impact moral reasoning. While previous research has demonstrated differences in moral reasoning among other neuropsychological populations such as those with ventromedial prefrontal damage (Moretto et al., 2010) and frontotemporal dementia (Gleichgerrcht et al., 2011), there is no research reported regarding moral judgements in AgCC. This study employed the Moral Dilemmas Scale (Greene, 2001) to compare the moral judgements of persons with AgCC to neurotypical controls. It was predicted that individuals with AgCC would be less contextually nuanced than neurotypical controls in responding to moral dilemmas.Participants and Methods:Results consist of data derived from 57 neurotypical control participants (ages 23 to 64 years) recruited from MTurk Cloud and 19 AgCC participants (ages 23 to 77 years) with normal-range FSIQ (>80) drawn from the individuals with AgCC involved with the Human Brain and Cognition Lab at the Travis Research Institute. All participants completed an online version of the Moral Dilemmas Scale (Greene, 2001). The scale consists of 25 dilemmas, of which 11 are considered high-conflict, 7 low-conflict and 7 impersonal. Participants were instructed to read each dilemma and rate whether they found the action to be “appropriate” or not. The high-conflict dilemmas share a similar structure in which responses reflect either a utilitarian or deontological judgement.Results:“Approve” responses to each of the 3 categories of dilemma were separately tallied for each individual and subjected to a 2group ANOVA. Results revealed the control group produced a significantly higher rate of “appropriate” responses to high-conflict dilemmas than did the individuals with AgCC (F=8.17, p = .006, n2 =.113). However, no significant differences were found among the two groups for results on low (n2 = .013) and impersonal (n2 = .003) dilemmas alone. Furthermore, a X2 analysis of responses to each high conflict dilemma revealed a significant difference in 5 out of the 11 such that more persons with AgCC gave a deontological judgement.Conclusions:Results suggested that adults with AgCC respond similarly to neurotypical controls with respect to the low conflict orimpersonal dilemmas. However, with respect to high conflict dilemmas, compared to controls they tend to respond in a more deontological than utilitarian basis - that is, based on general principles without contextual nuance. These findings are consistent with the conclusion of Renteria-Vasquez et al. (2021) that persons with AgCC have difficulty imagining the wider implications of present information.

Measures to Promote Energy Prosumer in Photovoltaic Solar Energy

In the process of implementing and trying various measures to achieve carbon neutrality around the world, Korea is also presenting various policies to advance to a low-carbon economy. Energy prosumer is a consumer who produces electricity directly and sells surplus electricity after consumption through an electric power company. Currently, advanced countries such as the U.S. and Germany are developing various business models beyond the initial energy prosumer model. However, in Korea, it is difficult for individuals to directly participate in the electricity market and buy and sell electricity due to policy limitations and complex reasons. In addition to these problems, low electricity bills and relatively high solar power prices are factors that hinder energy prosumers. Basically, in order for energy prosumers to be activated, the unit price of solar power must be lower than the unit price of electricity bill. In addition, an electricity market must be formed in which individuals can freely trade, and policies and legislation must be prepared to support them. If such a step is prepared to revitalize energy prosumers, energy self-sufficiency will be possible and a new energy industry will be established. Ultimately, decentralized resource systems such as smart grids are activated, enabling carbon neutrality. As the unit price of solar power in Korea has fallen and electricity bills are on the rise, energy prosumer’s prospects are positive. If the electricity bill system is implemented first through restructuring of the electricity industry, it will be possible to establish the energy prosumer system in Korea while trying to develop various energy prosumer business models and transaction methods.

Conversational artificial intelligence (chatGPT™) in the management of complex colorectal cancer patients: early experience.

In 2022 chatGPT™ (OpenAI, San Francisco) was introduced to the public. The complex reasoning and the natural language processing (NLP) ability of the AI platform has generated much excitement about the potential applications. This study conducted a preliminary analysis of the chatGPT™'s ability to formulate a management plan in accordance with oncological principles for patients with colorectal cancer. Colorectal cancer cases discussed in the multidisciplinary tumor (MDT) board at a single tertiary institution between September 2022 and January 2023 were prospectively collected. The treatment recommendations made by the chatGPT™ for Stage IV, recurrent, synchronous colorectal cancer were analysed for adherence to oncological principles. The recommendations by chatGPT™ were compared with the decision plans made by the MDT. In all cases, the chatGPT™ was able to adhere to oncological principles. The recommendations in all 30 cases factored in the patient's overall health and functional status. The oncological management recommendation concordance rate between chatGPT™ and the MDT was 86.7%. This study shows a high concordance rate of the chatGPT™'s recommendations with that given by the MDT in the management of complex colorectal patients. This will need to be verified in a larger prospective study.

Multi-ontology embeddings approach on human-aligned multi-ontologies representation for gene-disease associations prediction

ObjectivesKnowledge graphs and ontologies in the biomedical domain provide rich contextual knowledge for a variety of challenges. Employing that for knowledge-driven NLP tasks such as gene-disease association prediction represents a promising way to increase the predictive power of a model. MethodsWe investigated the power of infusing the embedding of two aligned ontologies as prior knowledge to the NLP models. We evaluated the performance of different models on some large-scale gene-disease association datasets and compared it with a model without incorporating contextualized knowledge (BERT). ResultsThe experiments demonstrated that the knowledge-infused model slightly outperforms BERT by creating a small number of bridges. Thus, indicating that incorporating cross-references across ontologies can enhance the performance of base models without the need for more complex and costly training. However, further research is needed to explore the generalizability of the model. We expected that adding more bridges would bring further improvement based on the trend we observed in the experiments. In addition, the use of state-of-the-art knowledge graph embedding methods on a joint graph from connecting OGG and DOID with bridges also yielded promising results. ConclusionOur work shows that allowing language models to leverage structured knowledge from ontologies does come with clear advantages in the performance. Besides, the annotation stage brought out in this paper is constrained in reasonable complexity.

Embodied Theories of Knowledge and the Evil Eye in the Roman World

This article aims at enriching current interpretations of the Evil Eye in the Roman world by applying embodied theories of knowledge to the social environments that triggered this belief. In general terms, religious belief is grounded on representational processes of the body and of its surrounding environment; these, together, organize specific mental reference-systems. In other words, actual experience is encoded in a mental frame that may later be used to make plausible explanations of a given situation. The psychosomatic feeling of envy (the Evil Eye was often conceptualized as an emotion) that the individual experienced at a given situation was processed into a complex socio-cultural reasoning that included 1) the identification and description of the pain suffered by the envious person (including the idea that the whole colour of their skin became bluish – livor); 2) the monitoring of one’s own moral conduct in the situation that triggered the feeling of envy; 3) the association of envy with a whole system of beliefs of mystical harm that could affect others; and 4) the possibility of restraining it. This experience fed the variety of cognitive strategies that individuals then elaborated in order to externalize their responsibility towards random misfortune.

Extending the description logic [formula omitted] with threshold concepts induced by concept measures

In applications of AI systems where exact definitions of the important notions of the application domain are hard to come by, the use of traditional logic-based knowledge representation languages such as Description Logics may lead to very large and unintuitive definitions, and high complexity of reasoning. To overcome this problem, we define new concept constructors that allow us to define concepts in an approximate way. To be more precise, we present a family τEL(m) of extensions of the lightweight Description Logic EL that use threshold constructors for this purpose. To define the semantics of these constructors we employ graded membership functions m, which for each individual in an interpretation and concept yield a number in the interval [0,1] expressing the degree to which the individual belongs to the concept in the interpretation. Threshold concepts C⋈t for ⋈∈{<,≤,>,≥} then collect all the individuals that belong to C with degree ⋈t. The logic τEL(m) extends EL with threshold concepts whose semantics is defined relative to a function m. To construct appropriate graded membership functions, we show how concept measures ∼ (which are graded generalizations of subsumption or equivalence between concepts) can be used to define graded membership functions m∼. Then we introduce a large class of concept measures, called simi-d, for which the logics τEL(m∼) have good algorithmic properties. Basically, we show that reasoning in τEL(m∼) is NP/coNP-complete without TBox, PSpace-complete w.r.t. acyclic TBoxes, and ExpTime-complete w.r.t. general TBoxes. The exception is the instance problem, which is already PSpace-complete without TBox w.r.t. combined complexity. While the upper bounds hold for all elements of simi-d, we could prove some of the hardness results only for a subclass of simi-d. This article considerably improves on and generalizes results we have shown in three previous conference papers and it provides detailed proofs of all our results.

Language models and psychological sciences.

Large language models (LLMs) are demonstrating impressive performance on many reasoning and problem-solving tasks from cognitive psychology. When tested, their accuracy is often on par with average neurotypical adults, challenging long-standing critiques of associative models. Here we analyse recent findings at the intersection of LLMs and cognitive science. Here we discuss how modern LLMs resurrect associationist principles, with abilities like long-distance associations enabling complex reasoning. While limitations remain in areas like causal cognition and planning, phenomena like emergence suggest room for growth. Providing examples and increasing the dimensions of the network are methods that further improve LLM abilities, mirroring facilitation effects in human cognition. Analysis of LLMs errors provides insight into human cognitive biases. Overall, we argue LLMs represent a promising development for cognitive modelling, enabling new explorations of the mechanisms underlying intelligence and reasoning from an associationist point of view. Carefully evaluating LLMs with the tools of cognitive psychology will further understand the building blocks of the human mind.

Tailoring of exercise and dietary interventions to adverse effects and existing comorbidities in patients with ovarian cancer receiving chemotherapy: a clinical vignettes study among expert physical therapists and dietitians

Purpose This study aims to capture the complex clinical reasoning process during tailoring of exercise and dietary interventions to adverse effects and comorbidities of patients with ovarian cancer receiving chemotherapy. Methods Clinical vignettes were presented to expert physical therapists (n = 4) and dietitians (n = 3). Using the think aloud method, these experts were asked to verbalize their clinical reasoning on how they would tailor the intervention to adverse effects of ovarian cancer and its treatment and comorbidities. Clinical reasoning steps were categorized in questions raised to obtain additional information; anticipated answers; and actions to be taken. Questions and actions were labeled according to the evidence-based practice model. Results Questions to obtain additional information were frequently related to the patients’ capacities, safety or the etiology of health issues. Various hypothetical answers were proposed which led to different actions. Suggested actions by the experts included extensive monitoring of symptoms and parameters, specific adaptations to the exercise protocol and dietary-related patient education. Conclusions Our study obtained insight into the complex process of clinical reasoning, in which a variety of patient-related variables are used to tailor interventions. This insight can be useful for description and fidelity assessment of interventions and training of healthcare professionals.

Cephalopod behaviour

Underlying all animal behaviors, from the simplest reflexive reactions to the more complex cognitive reasoning and social interaction, are nervous systems uniquely adapted to bodies, environments, and challenges of different animal species. Coleoid cephalopods - octopuses, squid, and cuttlefish - are widely recognized as the most behaviorally complex invertebrates and provide exciting opportunities for studying the neural control of behaviour. These unusual molluscs evolved over 400 million years ago from slow-moving armored forms to active predators of coastal and open ocean ecosystems. In this primer we will discuss how, during cephalopod evolution, the relatively simple ganglion-based molluscan nervous system has been extensively transformed to control the complex bodies and process extensive visual, tactile, and chemical sensory inputs, and summarize some recent findings about their fascinating behaviors.

Features of a Systematic Approach to the Prevention of Healthcare-Associated Infections in the Russian Federation and abroad

Relevance. Health care-associated infections (HAIs) are one of the global problems of modern healthcare with a negative trend in the growth of this pathology throughout the world, which is due to a complex of reasons, among which the resistance of pathogens of hospital infections to antimicrobials is important, as well as gaps in organization of epidemiological surveillance due to a number of objective and subjective factors (complication of technologies and expansion of the practice of invasive medical interventions, turnover and shortage of personnel in medical institutions, etc.).The purpose of the work is to study the experience of organizing measures for the prevention of HCAI from the standpoint of a systematic approach in Russia and in foreign countries that have the best practices in this area. The purpose of the work is to study the experience of organizing measures for the prevention of HCAI from the standpoint of a systematic approach in Russia and in foreign countries that have the best practices in this area.The results are based on the study of the basic principles of the system approach, its tools, functional organization and universalization, the use of a comprehensive analysis in relation to different areas of medical activity and types of medical care, the sequence of development and implementation of new methods in Russian and foreign experience in the implementation of epidemiological surveillance for HCAI. Problems in the field of organization and practical implementation of preventive measures to prevent the occurrence of HCAI have been identified, and urgent tasks for improving the epidemiological safety of medical activity have been identified.Conclusion. Differences were noted in approaches to the prevention of HAIs in Russia and abroad, concerning the resource provision of molecular biological monitoring of HAI pathogens, as well as the features of teamwork, targeted communication in medical teams and in explanatory work, as well as the implementation of training programs for relatives to care for patients with HAI. Measures are proposed to increase the commitment of medical personnel and collectives in general, other employees of medical organizations to epidemiologically safe skills in their professional activities, to develop patient education programs for personal prevention of HCAI.

Cellular Senescence in Craniofacial Tissue Regeneration: Inducers, Biomarkers, and Interventions.

Craniofacial defects and dental tissue loss have significant negative impacts on the structure and function of jaws and face, often resulting in psychological issues in patients, emphasizing the urgent need for effective craniofacial tissue reconstruction. Unfortunately, natural regeneration of these tissues is limited. Dental-derived mesenchymal stem cells (MSCs) have emerged as a promising resource for tissue engineering-based therapeutic approaches. However, the clinical outcomes of MSC-based transplantation have not met expectations due to various complex reasons, and cellular senescence is recognized as one of the potential mechanisms contributing to the suboptimal results. The quality of MSC decreases during large-scale in vitro expansion, and it is also influenced by the age and the health status of donors. To address these challenges, extensive efforts have been made to developing strategies to combat senescence in tissue engineering, leveraging on current knowledge of underlying mechanisms. This review aims to elucidate the impact of cell senescence in craniofacial and dental regeneration and provides an overview of state-of-the-art antisenescence strategies. We first discuss the potential factors that trigger cell senescence in craniofacial tissue engineering. Then we describe senescence biomarkers, monitoring methods for senescent MSCs, and their underlying molecular mechanisms. The primary focus of this review is on current strategies to inhibit and alleviate cell senescence in tissue engineering. We summarize the strategies concerning the prevention of cell senescence, senolysis, modulation of the senescent associated secretory phenotype, and reversal of senescent MSCs, offering promising opportunities to overcome the challenges associated with cell senescence in craniofacial tissue engineering.

РИНОК ОВОЧІВ НА СУЧАСНОМУ ЕТАПІ: НОВІ ВИКЛИКИ

The article considers current aspects of functioning the vegetable market of Ukraine, including detailing the assortment and regional structure of production. Its dynamics is clearly divided into periods up to and including 2021 as well as beyond after. The balance of vegetable crops according to the main spheres of their utilization is presented. Their use for food needs is observed, depending on the volume of production and without a particular influence of export and import. The changes that took place in foreign trade in vegetables and contributed to the increase of its negative balance are highlighted. It was a complex of reasons with a permanent and temporary nature, which gradually formed a different market situation. The impact of the war and its consequences on the vegetable sector of our country was separately investigated. Attention was paid to the sharp decrease in production, the increase in prices, the relocation of existing industry enterprises and the emergence of new ones. The critical importance of the southern regions for the food supply of vegetable crops in the open soil and greenhouses for the entire Ukraine has been statistically proven. The positions related to tomatoes, sweet peppers, eggplants, and melon crops became the most vulnerable. The new trends of the market, mainly forced, which are observed during 2022-2023 and will influence its development in the near future, are characterized. Even taking into account the large number of refugees and displaced persons, the needs of our domestic market are not fully satisfied, there remains a high impact of the seasonal factor. High unpredictability and significant risks to the industry due to the impact of the war were noted. However, Ukrainian manufacturers and other market participants should still develop domestic and international activities.

Human-inspired autonomous driving: A survey

Autonomous vehicles promise to revolutionize society and improve the daily life of many, making them a coveted aim for a vast research community. To enable complex reasoning in autonomous vehicles, researchers are exploring new methods beyond traditional engineering approaches, in particular the idea of drawing inspiration from the only existing being able to drive: the human. The mental processes behind the human ability to drive can inspire new approaches with the potential to bridge the gap between artificial drivers and human drivers. In this review, we categorize and evaluate existing work on autonomous driving influenced by cognitive science, neuroscience, and psychology. We propose a taxonomy of the various sources of inspiration and identify the potential advantages with respect to traditional approaches. Although these human-inspired methods have not yet reached widespread adoption, we believe they are critical to the future of fully autonomous vehicles.

Document-level Relation Extraction via Separate Relation Representation and Logical Reasoning

Document-level relation extraction (RE) extends the identification of entity/mentions’ relation from the single sentence to the long document. It is more realistic and poses new challenges to relation representation and reasoning skills. In this article, we propose a novel model, SRLR , using S eparate Relation R epresentation and L ogical R easoning considering the indirect relation representation and complex reasoning of evidence sentence problems. Specifically, we first expand the judgment of relational facts from the entity-level to the mention-level, highlighting fine-grained information to capture the relation representation for the entity pair. Second, we propose a logical reasoning module to identify evidence sentences and conduct relational reasoning. Extensive experiments on two publicly available benchmark datasets demonstrate the effectiveness of our proposed SRLR as compared to 19 baseline models. Further ablation study also verifies the effects of the key components.

Prevalence of subclinical abortions in cows due to mycotoxicosis

The article presents data on the distribution and seasonal dynamics of subclinical abortions in cows with mycotoxin poisoning, particularly zearalenone. Subclinical abortion is a common phenomenon among cows in dairy farms and causes significant economic losses due to multiple unsuccessful inseminations, reduced animal productivity, and premature culling. The research aimed to study the seasonal fluctuations of hidden abortions in cows and the influence of the method of keeping in the conditions of feed contamination with microscopic fungi and their toxins. To diagnose hidden abortions, cows were diagnosed with the pregnancy on the 32nd day after insemination. When pregnancy was confirmed, the animals were examined for 92 days. At the same time, if the pregnancy was not confirmed, it was considered that an abortion had occurred. Seasonal fluctuations of subclinical abortions were established - the most significant number (up to 13.6 %) was diagnosed at the end of spring, associated with many animals entering the hunt after the transit period. It is also important that at that time, the number of mycotoxins in feed reached record values, which led to abortions due to toxic effects on the organs of the reproductive system in particular and the body in general. A large number of abortions (11.2 %) in the summer season was also confirmed. At the same time, animals kept free all year received a similar diet containing mycotoxins. At the same time, a concomitant negative factor was temperature shock at this time of year. This whole complex of reasons led to subclinical abortions followed by the resorption of the fetus. Sonographically, areas of reduced echogenicity of the uterus in cows after abortions were detected, which is evidence of the development of subclinical endometritis, confirmed by the uterus's heterogeneous echogenicity. In infertile animals, the presence of follicles with cavities and small yellow bodies that did not extend beyond the surface of the ovary was established sonographically. This indicates a hypofunctional state and impaired folliculogenesis and luteogenesis.

ThoughtSource: A central hub for large language model reasoning data

Large language models (LLMs) such as GPT-4 have recently demonstrated impressive results across a wide range of tasks. LLMs are still limited, however, in that they frequently fail at complex reasoning, their reasoning processes are opaque, they are prone to ‘hallucinate’ facts, and there are concerns about their underlying biases. Letting models verbalize reasoning steps as natural language, a technique known as chain-of-thought prompting, has recently been proposed as a way to address some of these issues. Here we present ThoughtSource, a meta-dataset and software library for chain-of-thought (CoT) reasoning. The goal of ThoughtSource is to improve future artificial intelligence systems by facilitating qualitative understanding of CoTs, enabling empirical evaluations, and providing training data. This first release of ThoughtSource integrates seven scientific/medical, three general-domain and five math word question answering datasets.