Hasil untuk "Human evolution"

Chengbo Zheng, Tim Miller, Alina Bialkowski et al.

High stakes decision-making often requires a continuous interplay between evolving evidence and shifting hypotheses, a dynamic that is not well supported by current AI decision support systems. In this paper, we introduce a mixed-initiative framework for AI assisted decision making that is grounded in the data-frame theory of sensemaking and the evaluative AI paradigm. Our approach enables both humans and AI to collaboratively construct, validate, and adapt hypotheses. We demonstrate our framework with an AI-assisted skin cancer diagnosis prototype that leverages a concept bottleneck model to facilitate interpretable interactions and dynamic updates to diagnostic hypotheses.

Ruiqi Wang, Jiyu Guo, Cuiyun Gao et al.

Recently, large language models (LLMs) have been deployed to tackle various software engineering (SE) tasks like code generation, significantly advancing the automation of SE tasks. However, assessing the quality of these LLM-generated code and text remains challenging. The commonly used Pass@k metric necessitates extensive unit tests and configured environments, demands a high labor cost, and is not suitable for evaluating LLM-generated text. Conventional metrics like BLEU, which measure only lexical rather than semantic similarity, have also come under scrutiny. In response, a new trend has emerged to employ LLMs for automated evaluation, known as LLM-as-a-judge. These LLM-as-a-judge methods are claimed to better mimic human assessment than conventional metrics without relying on high-quality reference answers. Nevertheless, their exact human alignment in SE tasks remains unexplored. In this paper, we empirically explore LLM-as-a-judge methods for evaluating SE tasks, focusing on their alignment with human judgments. We select seven LLM-as-a-judge methods that utilize general-purpose LLMs, alongside two LLMs specifically fine-tuned for evaluation. After generating and manually scoring LLM responses on three recent SE datasets of code translation, code generation, and code summarization, we then prompt these methods to evaluate each response. Finally, we compare the scores generated by these methods with human evaluation. The results indicate that output-based methods reach the highest Pearson correlation of 81.32 and 68.51 with human scores in code translation and generation, achieving near-human evaluation, noticeably outperforming ChrF++, one of the best conventional metrics, at 34.23 and 64.92. Such output-based methods prompt LLMs to output judgments directly, and exhibit more balanced score distributions that resemble human score patterns. Finally, we provide...

Zdeněk Vašíček, Petr Skupien

Haploceratids from the Štramberk Limestones represent three genera Haploceras, Hypolissoceras, and Volanites. The most species reach genus is Haploceras. The semi-involute shells of the local haploceratids are almost smooth or only with a specific sculpture bound to the ventral region near the peristome. The whorls tend to be weakly arched or flat. Statistical elaboration of H/D, U/D and B/D values during shell growth shows no significant differences between these values, except perhaps for U/D. The external morphology plays a decisive role in the generic and species identification of haploceratids. It is known that haploceratids form dimorphic pairs, as evidenced by the differently shaped peristomes in addition to the different shell sizes. Dimorphic pairs have been demonstrated as new in the Štramberk material for the pairs Haploceras staszycii (microconch, m) and Haploceras elimatum (macroconch, M), as well as Hypolissoceras carachtheis (m) and Hypolissoceras woehleri (M). Haploceras tithonium and Volanites verrucosus possessed dimorphic pairs but their counterparts have not been found in the Štramberk Limestone. With the exception of Volanites verruciferus, the species described here are of no stratigraphical importance. Their stratigraphic range is from the lower Tithonian to the lower Berriasian.

Vardanyan Zaruhi, Ghazaryan Armine, Virabyan Mane

The formation of pigments in plant tissues, including carotenoids, has been one of the most significant aromorphoses in the history of the origin of organic nature, a supreme result of chemical and then biological evolution. The carotenoids are synthesized in all photosynthetic organisms, some non-photosynthetic organisms. The scientific studies have shown that carotenoids contribute to the prevention of the development of various diseases in the human body. From both a scientific and practical perspective, studies that focus on determining the quantity of carotenoids in certain wild edible plants are highly valuable. It was conducted a study on the carotenoid in the leaves and stems of certain wild edible ten plants growing in the natural environment around the cities of Vanadzor and Stepanavan in the Lori region in Armenia. The differences content of carotenoid distribution between stems and leaves are likely influenced by environmental factots (for example- climate, soil conditions) in Vanadzor and Stepanavan. This analysis can guide both agricultural practices and health-oriented food production.

Jagmahender Singh Sehrawat, Shubham Thakur

Dental calculus is a creamish-yellow to brownish-black hard crust deposited on teeth, having the dietary micro-remains, biomolecules, oral microbes and the secretions preserved in it over a long period of time. It has served as a valuable source material for research in diverse scientific disciplines such as anthropology, archaeology, microbiology and forensic sciences. The host and microbial DNA extracted and sequenced from dental calculus deposits (DCD) have helped to establish the identity of unknown individuals, and also the use of certain drugs, tobacco products by the individuals of the past as well as contemporary human populations. The entrapped cellular as well as tissue fragments in calculus can help in identification, reconstruction of dietary habits, food practices, manner of death/pathologies the geographical and occupational affinity of ancient human remains. Calculus deposits gleaned from the archaeological or paleontological specimens can be used to assess the shifts in oral microbiota compositions and host-pathogen co-evolution as researchers have found calculus as rich source of oral microbiomes, pathogens, dietary biomolecules, and host DNA. Advancing dental calculus research through validation studies, technological innovations, interdisciplinary collaborations, longitudinal research, and ethical considerations holds promise for its robust forensic anthropological utilizations. The current status of anthropological, archaeological and microbial research involving dental calculus deposits, future challenges, and its forensic anthropological significance are presented in this review article.

Lucie Tungul, Ondrej Hamulak

This paper examines the role of environmental movements in the political dissent of the Baltic states and Czechoslovakia during the 1980s, culminating in the Baltic Chain and the Velvet Revolution of 1989. We explore how severe environmental degradation under Soviet production-oriented policies catalysed these movements, influencing broader political transformations. Starting with Charter 77 and the Baltic Charter, the analysis traces the evolution from local environmental protests to cross-national solidarity. By framing environmental issues as fundamental human rights concerns, activists bridged local ecological crises with broader calls for freedom, making environmentalism a powerful platform for dissent. We argue that the shared environmental mobilisation fostered solidarity across national lines, laying the groundwork for revolutionary shifts and the eventual collapse of the communist regimes in Eastern Europe. The study also addresses the post-1989 legacy of these movements, demonstrating how initial environmental concerns were overshadowed by political and economic transformations during the early 1990s.

Till Hielscher, Lukas Heuer, Frederik Wulle et al.

Predictive planning is a key capability for robots to efficiently and safely navigate populated environments. Particularly in densely crowded scenes, with uncertain human motion predictions, predictive path planning, and control can become expensive to compute in real time due to the curse of dimensionality. With the goal of achieving pro-active and legible robot motion in shared environments, in this paper we present HuMAN-MPC, a computationally efficient algorithm for Human Motion Aware Navigation using fast embedded Model Predictive Control. The approach consists of a novel model predictive control (MPC) formulation that leverages a fast state-of-the-art optimization backend based on a sequential quadratic programming real-time iteration scheme while also providing feasibility monitoring. Our experiments, in simulation and on a fully integrated ROS-based platform, show that the approach achieves great scalability with fast computation times without penalizing path quality and efficiency of the resulting avoidance behavior.

Byunghwee Lee, Rachith Aiyappa, Yong-Yeol Ahn et al.

Beliefs form the foundation of human cognition and decision-making, guiding our actions and social connections. A model encapsulating beliefs and their interrelationships is crucial for understanding their influence on our actions. However, research on belief interplay has often been limited to beliefs related to specific issues and relied heavily on surveys. We propose a method to study the nuanced interplay between thousands of beliefs by leveraging an online user debate data and mapping beliefs onto a neural embedding space constructed using a fine-tuned large language model (LLM). This belief space captures the interconnectedness and polarization of diverse beliefs across social issues. Our findings show that positions within this belief space predict new beliefs of individuals and estimate cognitive dissonance based on the distance between existing and new beliefs. This study demonstrates how LLMs, combined with collective online records of human beliefs, can offer insights into the fundamental principles that govern human belief formation.

Alessandra Chappuis, Guillaume Bellegarda, Auke Ijspeert

Quadruped robots are showing impressive abilities to navigate the real world. If they are to become more integrated into society, social trust in interactions with humans will become increasingly important. Additionally, robots will need to be adaptable to different humans based on individual preferences. In this work, we study the social interaction task of learning optimal handshakes for quadruped robots based on user preferences. While maintaining balance on three legs, we parameterize handshakes with a Central Pattern Generator consisting of an amplitude, frequency, stiffness, and duration. Through 10 binary choices between handshakes, we learn a belief model to fit individual preferences for 25 different subjects. Our results show that this is an effective strategy, with 76% of users feeling happy with their identified optimal handshake parameters, and 20% feeling neutral. Moreover, compared with random and test handshakes, the optimized handshakes have significantly decreased errors in amplitude and frequency, lower Dynamic Time Warping scores, and improved energy efficiency, all of which indicate robot synchronization to the user's preferences. Video results can be found at https://youtu.be/elvPv8mq1KM .

Francisca Elda Batista-Dantas, Christiane Yumi Ozaki, Kelly Gomes Santana et al.

IntroductionPathogenesis of cutaneous leishmaniases involves parasite growth, persistent inflammation, and likely participation of lipoproteins (LP). The cholesteryl ester transfer protein (CETP), involved in LP remodeling, has been shown to participate in the inflammatory response and the evolution of infectious conditions. MethodsWe evaluated the impact of the presence of CETP on infection by Leishmania (L.) amazonensis in an experimental model of cutaneous leishmaniasis using C57BL6/J mice transgenic for human CETP (CETP), having as control their littermates that do not express the protein, wild-type (WT) mice. The progression of the lesion after infection in the footpad was monitored for 12 weeks. Two groups of animals were formed to collect the plantar pad in the 4th and 12th week post-infection. ResultsThe lesion increased from the 3rd week onwards, in both groups, with a gradual decrease from the 10th week onwards in the CETP group compared to the WT group, showing a reduction in parasitism and an improvement in the healing process, a reduction in CD68+ cells, and an increase in CD163+ and CD206, characterizing a population of M2 macrophages. A reduction in ARG1+ cells and an increase in INOS+ cells were observed. During infection, the LP profile showed an increase in triglycerides in the VLDL fraction in the CETP group at 12 weeks. Gene expression revealed a decrease in the CD36 receptor in the CETP group at 12 weeks, correlating with healing and parasite reduction. In vitro, macrophages derived from bone marrow cells from CETP mice showed lower parasite load at 48 h and, a reduction in arginase activity at 4 h accompanied by increased NO production at 4 and 24 h compared to WT macrophages, corroborating the in vivo findings.DiscussionThe data indicate that the presence of CETP plays an important role in resolving Leishmania (L.) amazonensis infection, reducing parasitism, and modulating the inflammatory response in controlling infection and tissue repair.

Kyle Michael Schwing, Jonathan Pitt

We propose a set of metrics, based upon the four flows theory of the communicative constitution of organizations, to evaluate the emergence of organization in a social network. Using an agent-based model (ABM), we validate that our metrics chart the evolution of partial organizations as the population progresses from complete dissociation to unified allegiance. Our metrics allow the evaluation of organizational strength much more efficiently than previous, context-specific methods. The simulation produces other results consistent with human society, such as stable heterogeneity of structures and organizational figureheads, further validating our results. The ABM of emergent organization incorporates only widely-observed cognitive behaviors and the recognition by agents of group membership, without any cooperation among the agents. The four flows are produced solely by agents biasing their limited communication resources in favor of allies. While reaffirming the centrality of communication patterns to organization, we thus also challenge the minimal conditions required to produce organizing behavior and complex social structures.

Davide Ferrari, Andrea Pupa, Alberto Signoretti et al.

The new industrial settings are characterized by the presence of human and robots that work in close proximity, cooperating in performing the required job. Such a collaboration, however, requires to pay attention to many aspects. Firstly, it is crucial to enable a communication between this two actors that is natural and efficient. Secondly, the robot behavior must always be compliant with the safety regulations, ensuring always a safe collaboration. In this paper, we propose a framework that enables multi-channel communication between humans and robots by leveraging multimodal fusion of voice and gesture commands while always respecting safety regulations. The framework is validated through a comparative experiment, demonstrating that, thanks to multimodal communication, the robot can extract valuable information for performing the required task and additionally, with the safety layer, the robot can scale its speed to ensure the operator's safety.

Margarita V. Brovkina, Margaret A. Chapman, Matthew L. Holding et al.

Abstract Background The radiation of mammals at the extinction of the dinosaurs produced a plethora of new forms—as diverse as bats, dolphins, and elephants—in only 10–20 million years. Behind the scenes, adaptation to new niches is accompanied by extensive innovation in large families of genes that allow animals to contact the environment, including chemosensors, xenobiotic enzymes, and immune and barrier proteins. Genes in these “outward-looking” families are allelically diverse among humans and exhibit tissue-specific and sometimes stochastic expression. Results Here, we show that these tandem arrays of outward-looking genes occupy AT-biased isochores and comprise the “tissue-specific” gene class that lack CpG islands in their promoters. Models of mammalian genome evolution have not incorporated the sharply different functions and transcriptional patterns of genes in AT- versus GC-biased regions. To examine the relationship between gene family expansion, sequence content, and allelic diversity, we use population genetic data and comparative analysis. First, we find that AT bias can emerge during evolutionary expansion of gene families in cis. Second, human genes in AT-biased isochores or with GC-poor promoters experience relatively low rates of de novo point mutation today but are enriched for non-synonymous variants. Finally, we find that isochores containing gene clusters exhibit low rates of recombination. Conclusions Our analyses suggest that tolerance of non-synonymous variation and low recombination are two forces that have produced the depletion of GC bases in outward-facing gene arrays. In turn, high AT content exerts a profound effect on their chromatin organization and transcriptional regulation.

Vitalii Zakharov, Uliana Levko

The article discusses the specifics of students’ work on portrait stories in practical and laboratory classes in TV journalism. The study of the peculiarities of creating materials in the stated genre is considered in the context of European integration processes within the media and education. The authors relied on theoretical research by scholars who focused on analyzing portrait interviews and television stories. The purpose of the study was to outline the technologies for creating one’s own media product in the context of European values, including respect for human dignity, freedom, as well as democracy. The scientific problem is considered in two dimensions. Firstly, future TV journalists themselves are guided by the values outlined above. Secondly, the characters in the TV stories «work» to strengthen and implement values by reflecting on topics from their personal and public lives. One of the authors’ tasks was to demonstrate a two-sided media production approach. Another task is to highlight the technologies of creating a portrait story in view of the challenges that require adaptation and reconsideration of the experience of the Ukrainian school of TV journalism. An important point in mastering the topic is to analyze the achievements of media professionals since the 1990s. A critical analysis of samples of portrait interviews and TV stories from different periods helps to comprehend the evolution of the genres. However, the value framework of media content during this period has been humanism. Therefore, it is primarily about direct articulation and focus on the values that unite the European community. Implementing the educational potential of television, students find and show heroes with whom the viewer already shares values or discovers new horizons in their worldview. The cooperation of students and teachers in its multi-stage nature covers the entire process of creating a portrait TV story, which is outlined in the article.

Weiming Xie, Jianwei Sun, Leicheng Guo et al.

Coastal tidal flats provide valuable ecosystems, but are highly sensitive to tidal dynamics, sea-level rise, and human activities. Tidal inundation depth and frequency are known to affect tidal flat morphodynamics. However, the causes, processes and extent remain uncertain, particularly given the associated changes in sediment availability. In this study, we monitored the hydrodynamics, sediment transport, and morphological changes on two tidal flats in the northern and southern parts of the Yellow River Delta, with contrasting tidal regimes. The data showed that longer inundation periods under diurnal tides gained additional sediment and deposition than under semi-diurnal tides, because of the associated increase in water depth and sediment availability. The wave impact increased at the site with a semi-diurnal tidal regime owing to the lower water depth, where a larger bed shear stress led to tidal flat erosion. These results indicated that the combination of tidal regime and the occurrence of powerful waves played a joint role in controlling bed erosion, sediment availability, and short-term tidal flat evolution. This has implications for coping with delta erosion by enhancing local sediment availability in diurnal tidal regions and restoring vegetation to attenuate waves in semi-diurnal regions of the Yellow River Delta.

Mrinal Rawat, Victor Barres

Agent assistance during human-human customer support spoken interactions requires triggering workflows based on the caller's intent (reason for call). Timeliness of prediction is essential for a good user experience. The goal is for a system to detect the caller's intent at the time the agent would have been able to detect it (Intent Boundary). Some approaches focus on predicting the output offline, i.e. once the full spoken input (e.g. the whole conversational turn) has been processed by the ASR system. This introduces an undesirable latency in the prediction each time the intent could have been detected earlier in the turn. Recent work on voice assistants has used incremental real-time predictions at a word-by-word level to detect intent before the end of a command. Human-directed and machine-directed speech however have very different characteristics. In this work, we propose to apply a method developed in the context of voice-assistant to the problem of online real time caller's intent detection in human-human spoken interactions. We use a dual architecture in which two LSTMs are jointly trained: one predicting the Intent Boundary (IB) and then other predicting the intent class at the IB. We conduct our experiments on our private dataset comprising transcripts of human-human telephone conversations from the telecom customer support domain. We report results analyzing both the accuracy of our system as well as the impact of different architectures on the trade off between overall accuracy and prediction latency.

Ruipeng Lei, Timothy J. C. Tan, Andrea Hernandez Garcia et al.

Lei et al. systematically characterized the epistasis among natural mutations in the neuraminidase of human influenza H3N2 virus, which provide insights into the biophysical constraints that shaped its evolution trajectory over the past half-century.

Michael Petraglia, Nicole Boivin, Eregzen Gelegdorj et al.

Background: The archaeological and ethnographic heritages of Mongolia reflect a multi-millennial continuity of typically mobile-pastoral occupations across sparsely populated, environmentally diverse landscapes, but the threats of modernisation and industrialisation to those heritages are nevertheless present and substantial. The construction of the Erdeneburen Hydroelectric Dam on the Khovd River in western Mongolia is planned to submerge hundreds of archaeological features and jeopardise at least another thousand. Methods: The Mongolian Archaeology Project: Surveying the Steppes, in collaboration with the Mongolian Institute of Archaeology, integrates a variety of digital techniques including GIS (geographic information systems), Machine Learning automated site detection, drone mapping, and Structure-from-Motion LiDAR scanning to document the endangered archaeology. This paper presents the resulting dataset of archaeological features across three different impact zones associated with the dam construction and evaluates the degree of efficacy of the initial data integration strategy through informal partner feedback and self-assessment. Results: While only approximately 20% of the documented sites fall within the planned flood zone, the remaining sites will be subjected to collateral threats such as industrial and infrastructural development that will necessitate extended monitoring, both temporally and spatially. In consideration of these results, this paper argues that a ‘responsive’ mode of heritage disaster intervention can bridge the gap between ‘reactive’ and ‘proactive’ modes, but requires development of an integrated (digital) methodology. Conclusions: The paper concludes by offering a new, more interconnected ‘transmethodology’ that addresses spatiality, sub-sampling, data reuse, and community input across multiple disciplines such as cultural heritage preservation, salvage archaeology, computer vision, and community archaeology. The authors developed this ‘transmethodology’ and the resulting workflows out of a theoretical framework that considers principles of Symmetrical Archaeology, Resilience Humanitarianism, and the CARE standard for inclusive data management (Collective benefit, Authority to control, Responsibility, and Ethics).