Hasil untuk "Evolution"

Qiwei Zhang, Yicheng Wang, Jiayuan Wei et al.

Hydrogen energy, as a pivotal secondary energy carrier for the future, plays a core role in achieving global carbon neutrality goals through its green production. Currently, water electrolysis for hydrogen production, particularly alkaline water electrolysis, is regarded as the primary pathway for green hydrogen generation due to its technological maturity and cost‐effectiveness. However, this technology still faces challenges such as low operating current density, high energy consumption, and the difficulty in balancing the activity and stability of nonprecious metal catalysts under high current densities. The design of traditional electrocatalysts has reached a bottleneck, making breakthrough progress difficult. Therefore, this review focuses on internal and external field‐assisted water electrolysis strategies, systematically summarizing the latest research advances in field regulation for enhancing electrocatalytic performance. These strategies provide innovative approaches to addressing the energy efficiency and cost challenges in water electrolysis for hydrogen production, demonstrating the significant potential of field regulation in driving the development of next‐generation, high‐performance, and highly stable water electrolysis technologies.

Xiangmeng Lin, Junyi Zhang, Kai Yuan et al.

Previous studies have shown that terahertz (THz) signals could penetrate hypersonic plasma sheaths. Thus, it is considered to be a potential solution to the “blackout” problem. Nevertheless, although previous studies have systematically revealed the signal transmission characteristics in hypersonic plasma sheaths and the influence of vehicle parameters on the communication performance, the coupling mechanism between the dynamical time-varying plasma sheath flow field and Doppler shift of THz communication signals has rarely been investigated. In this study, a layered medium model was developed to investigate the characteristics and the mechanisms for the Doppler shift in dynamical hypersonic plasma environments. The results revealed that the total Doppler shifts could be up to several megahertz (MHz), in which the Doppler shift yielded by the inhomogeneous flow field of the hypersonic plasma sheath could also reach the magnitude of several MHz. It indicates that the inhomogeneous flow field is an important mechanism for the communication capacity of Doppler shift. The dynamical evolution of the flow field yields the fluctuation of the total Doppler shift. The dynamical Doppler frequency shifts could have serious impacts on the signal demodulation, channel estimation, synchronization, and the communication capacity of the onboard system.

Xinxin Qi, Xinxin Qi, Guohao Liu et al.

Insight into the non-random distribution patterns of species in different regions is a foundational aim of research in community ecology and biogeography. The nestedness pattern, which investigates changes in species composition and abundance, has been widely used in numerous studies. However, studies on the nestedness of benthic diatoms are extremely rare, and consequently little has been mentioned of their assemblage mechanisms. To fill this gap, based on 168 benthic diatom species from 147 sampling sites in the Thousand Island Lake (TIL) catchment, we calculated their nestedness and niche width with the aim of i) analyzing the nestedness of benthic diatoms communities with different attachment abilities in TIL; ii) calculating niche width differences between nested and idiosyncratic species with different attachment abilities; iii) investigating the differences in alpha and beta diversity between nested and idiosyncratic sites; iv) examining whether environmental variables influencing the nestedness of benthic diatom communities are dependent on attachment ability. The results demonstrated a significant nestedness pattern in the benthic diatom metacommunity, and the sampling sites of low attachment species not only exhibited a nestedness pattern, but also with a lower nestedness value compared to the sampling sites of all species. Nested and idiosyncratic species differed in niche width, whereas differences between nested and idiosyncratic species of low attachment species were smaller. Additionally, significant differences in alpha and beta diversity were observed between nested and idiosyncratic sites. Furthermore, it was revealed that the nestedness of benthic diatom metacommunity in our study area were mostly influenced by local environmental variables. Our study contributes to the understanding of the significant nestedness observed in benthic diatom metacommunity in TIL, highlighting its relevance to biodiversity conservation efforts.

Ganna Pletnyova

The article suggest to identify the principal types of descriptions of gender violence and their role in shaping the female characters of the historical novel «Man eaters» by the Ukrainian writer Zinaida Tulub, as well as to trace the influence of social and gender issues on the stylistic structure of the novel. Attention is drawn to the reflection of the theme of violence and its evolution in the history of Ukrainian literature. Attention is focused on the writer’s critical view of women’s fate in the Polish-Lithuanian Commonwealth, the Ottoman Empire, and the Tsardom of Muscovy of the 17th century. The following types of gender-based violence are systematized: rape, murder and abduction of children, human trafficking, everyday violence, religious control over women, etc. The author has recorded the main stylistic means used by Zinaida Tulub when depicting gender violence in the novel (landscapes, symbolic images, similes, etc.). The article offers a comparative analysis of two central female characters in the novel who are victims of these forms of gender violence: the Ukrainian peasant Horpyna Korzh, who finds herself in captivity in a Tatar village, and the Tatar peasant Medzhe, who is kidnapped by Ukrainian Cossacks. The parallel development of these female characters in the novel allows us to draw conclusions about the universality of this violence. An attempt is made to consider Zinaida Tulub’s works in the context of women’s prose in the 19th and at the beginning of the 20th centuries. Delving into the inner state of female characters experiencing deep emotional catastrophes is one of the characteristics of this prose. The appeal to the facts of the writer’s biography makes it possible to offer a feminist understanding of the work’s issues from the point of view of modern humanities. The article emphasizes the relevance of the study of gender violence in contemporary literary studies.

Qide Jin, Yeping Wang, Kun Zhang et al.

Abstract Daphnia can avoid predation by sensing fish kairomones and producing inducible defenses by altering the phenotype. In this study, the results showed that the morphological and life‐history strategies of two Daphnia species (Daphnia pulex and Daphnia sinensis) exposed to Aristichthys nobilis kairomones. In the presence of fish kairomones, the two Daphnia species exhibited significantly smaller body length at maturity, smaller body length of offspring at the 10th instar, and longer relative tail spine of offspring. Nevertheless, other morphological and life‐history traits of the two Daphnia species differed. D. pulex showed a significantly longer relative tail spine length and earlier age at maturity after exposure to fish kairomones. The total offspring number of D. sinensis exposed to fish kairomones was significantly higher than that of the control group, whereas that of D. pulex was significantly lower. These results suggest that the two Daphnia species have different inducible defense strategies (e.g., morphological and life‐history traits) during prolonged exposure to A. nobilis kairomones, and their offspring also develop morphological defenses to avoid predation. It will provide reference for further exploring the adaptive evolution of Daphnia morphology and life‐history traits in the presence of planktivorous fish.

Muhammad Hussain

This paper implements a systematic methodological approach to review the evolution of YOLO variants. Each variant is dissected by examining its internal architectural composition, providing a thorough understanding of its structural components. Subsequently, the review highlights key architectural innovations introduced in each variant, shedding light on the incremental refinements. The review includes benchmarked performance metrics, offering a quantitative measure of each variant’s capabilities. The paper further presents the performance of YOLO variants across a diverse range of domains, manifesting their real-world impact. This structured approach ensures a comprehensive examination of YOLOs journey, methodically communicating its internal advancements and benchmarked performance before delving into domain applications. It is envisioned, the incorporation of concepts such as federated learning can introduce a collaborative training paradigm, where YOLO models benefit from training across multiple edge devices, enhancing privacy, adaptability, and generalisation.

WANG Sili, ZHANG Ling, YANG Heng, LIU Wei

[Purpose/Significance] Deep learning for language modeling is one of the major methods and advanced technologies to enhance language intelligence of machines at present, which has become an indispensable important technical means for automatic processing and analysis of data resources, and intelligent mining of information and knowledge. However, there are still some difficulties in using deep learning for language modeling for technology development and application service in the library and information science (LIS) field. Therefore, this study systematically reviews and reveals the research progress, technical principles, and development methods of deep learning for language modeling, with the aim at providing reliable theoretical basis and feasible methodological paths for the deep understanding and application of deep learning for language modeling for librarians and fellow practitioners. [Method/Process] The data used in this study were collected from the WOS core database, CNKI literature database, arXiv preprint repository, GitHub open-source software hosting platform and the open resources on the Internet. Based on these data, this paper first systematically investigates the background, basic feature representation algorithms, and representative application development tools of deep learning for language modeling, reveals their dynamic evolution and technical principles, and analyzes the advantages and disadvantages and applicability of each algorithm model and development tool. Second, an in-depth analysis of the possible challenging problems faced by the development and application of deep learning for language modeling was performed, and two strategic approaches to expand their application capabilities were put forward. [Results/Conclusions] The important challenges faced by the application and development of deep learning for language modeling include numerous parameters and difficulties to adjust accuracy, relying on a large amount of accurate training data, difficulties in making changes, and the intellectual property and information security issues. In the future, we will start from two aspects of specific domains and feature engineering to expand and improve the application capabilities of deep learning for language modeling. Specifically, we focus on consideration of the collection and preparation of domain data, selection of model architecture, participation of domain experts, and optimization for specific tasks, in order to ensure that the data source of the model is more reliable and secure, and the application effect is more accurate and practical. Moreover, the strategic methods for feature engineering to expand the application capabilities of deep learning for language modeling include selecting appropriate features, feature pre-processing, feature selection, and feature dimensionality reduction. These strategies can help improve the performance and efficiency of deep learning for language models, making them more suitable for specific tasks or domains. To sum up, LIS institutions should leverage the deep learning for language modeling related technologies, guided by the needs of scientific research and social development, and based on advantages of existing literature data resources and knowledge services; they should carry out innovative professional or vertical domain intelligent knowledge management and application service, and develop technology and systems with independent intellectual property rights, which is their long-term sustainable development path.

Jie Yu, Yawen Dai, Zhenbao Zhang et al.

Abstract Rational construction of carbon‐based materials with high‐efficiency bifunctionality and low cost as the substitute of precious metal catalyst shows a highly practical value for rechargeable Zn‐air batteries (ZABs) yet it still remains challenging. Herein, this study employs a simple mixing‐calcination strategy to fabricate a high‐performance bifunctional composite catalyst composed of N‐doped graphitic carbon encapsulating Co nanoparticles (Co@NrC). Benefiting from the core‐shell architectural and compositional advantages of favorable electronic configuration, more exposed active sites, sufficient electric conductivity, rich defects, and excellent charge transport, the optimal Co@NrC hybrid (Co@NrC‐0.3) presents outstanding catalytic activity and stability toward oxygen‐related electrochemical reactions (oxygen reduction and evolution reactions, i.e., ORR and OER), with a low potential gap of 0.766 V. Besides, the rechargeable liquid ZAB assembled with this hybrid electrocatalyst delivers a high peak power density of 168 mW cm−2, a small initial discharge‐charge potential gap of 0.45 V at 10 mA cm−2, and a good rate performance. Furthermore, a relatively large power density of 108 mW cm−2 is also obtained with the Co@NrC‐0.3‐based flexible solid‐state ZAB, which can well power LED lights. Such work offers insights in developing excellent bifunctional electrocatalysts for both OER and ORR and highlights their potential applications in metal‐air batteries and other energy‐conversion/storage devices.

Manoj Myneni, K.R. Rajagopal

Despite the tremendous impact that a good constitutive relation for the response of arterial tissues can have with regard to advances in cardiovascular science and medicine, and notwithstanding the intense effort to put a felicitous constitutive relation into place, no reliable constitutive relation is available in the literature. In this review article, we provide a brief survey and assessment of the evolution of constitutive relations that have been developed to describe the response of arterial tissues, their inadequacies, and the various quintessential aspects of the response that need to be taken into consideration. We then fashion a nonlinear constitutive relation to describe an inhomogeneous anisotropic compressible viscoelastic solid, which while being grossly inadequate to describe the tissue in its entirety, makes it evident that what one ought to strive for is not in capturing the complexity of tissues, but rather the development of a simple global measure that can be a reliable predictor of the onset of tissue disease, and tissue damage and failure.

Woranop Sukparangsi, Elena Morganti, Molly Lowndes et al.

By constructing an evolutionary trajectory of the cyclostome-gnathostome Pou5 gene family and comparing the structural and phenotypic protein variations, the authors uncover the origin of functional characteristics for the pluripotency factor Oct4.

Maximilian Schweinsberg, Fabian Gösser, Ralph Tollrian

Abstract Corals have evolved a variety of stress responses to changing conditions, many of which have been the subject of scientific research. However, polyp bailout has not received widespread scientific attention, despite being described more than 80 years ago. Polyp bailout is a drastic response to acute stress in which coral colonies break down, with individual and patches of polyps detaching from the colony and the calcareous skeleton Polyps retain their symbiotic partners, have dispersal ability, and may undergo secondary settlement and calcification. Polyp bailout has been described worldwide in a variety of anthozoan species, especially in Scleractinia. It can be induced by multiple natural stressors, but also artificially. Little is known about the evolutionary and ecological potential and consequences of breaking down modularity, the dispersal ability, and reattachment of polyps resulting from polyp bailout. It has been shown that polyp bailout can be used as a model system, with promise for implementation in various research topics. To date, there has been no compilation of knowledge on polyp bailout, which prompted us to review this interesting stress response and provide a basis to discuss research topics and priorities for the future.

Gustavo Campillo-García, Oscar Flores-Villela, Brett Oliver Butler et al.

The spiny lizard genus Sceloporus was described by Wiegmann in 1828, with S. torquatus posteriorly designated as the type species. The taxonomic history of S. torquatus is complicated, as it has been confused with other taxa by numerous authors. Many modern systematics works have been published on Sceloporus, but none have included all five recognized S. torquatus subspecies: S. t. torquatus, S. t. melanogaster, S. t. binocularis, S. t. mikeprestoni, and S. t. madrensis. Additionally, there is previous evidence for at least one unnamed taxon. The present study is the first taxonomic revision of the enigmatic S. torquatus based on molecular phylogenies using combined molecular data from 12S, ND4 and RAG1 genes, and Maximum Likelihood and Bayesian inference phylogenetic methods. This work includes the most extensive sampling across the entire distribution, as well as divergence time estimates and environmental niche modelling, which combined offer a spatio-temporal framework for understanding the evolution of the species. Additionally, a series of morphological characters are analyzed to identify significant differences between lineages consistently recovered in the molecular phylogenies. Using this integrative approach, evidence is presented for eight lineages within the S. torquatus complex, five of which correspond to previously recognized subspecies and three represent unnamed taxa masked by morphological conservatism. Finally, to maintain taxonomic stability a lectotype and paralectoype are designated for S. torquatus, and certain taxonomic changes are suggested in order to reflect the phylogenetic relationships within the S. torquatus complex.

André Cidrim, Luca Salasnich, Tommaso Macrì

We investigate the quench dynamics of a two-component Bose mixture and study the onset of modulational instability, which leads the system far from equilibrium. Analogous to the single-component counterpart, this phenomenon results in the creation of trains of bright solitons. We provide an analytical estimate of the number of solitons at long times after the quench for each of the two components based on the most unstable mode of the Bogoliubov spectrum, which agrees well with our simulations for quenches to the weak attractive regime when the two components possess equal intraspecies interactions and loss rates. We also explain the significantly different soliton dynamics in a realistic experimental homonuclear potassium mixture in terms of different intraspecies interaction and loss rates. We investigate the quench dynamics of the particle number of each component estimating the characteristic time for the appearance of modulational instability for a variety of interaction strengths and loss rates. Finally we evaluate the influence of the beyond-mean-field contribution, which is crucial for the ground-state properties of the mixture, in the quench dynamics for both the evolution of the particle number and the radial width of the mixture. In particular, even for quenches to strongly attractive effective interactions we do not observe the dynamical formation of solitonic droplets.

Issam Hasni, Antoine Jarry, Benjamin Quelard et al.

<i>Legionella pneumophila</i> is a facultative intracellular pathogen found in aquatic environments as planktonic cells within biofilms and as intracellular parasites of free-living amoebae such as <i>Acanthamoeba castellanii</i>. This pathogen bypasses the elimination mechanism to replicate within amoebae; however, not all amoeba species support the growth of <i>L. pneumophila</i>. <i>Willaertia magna</i> C2c Maky, a non-pathogenic amoeba, was previously demonstrated to possess the ability to eliminate the <i>L. pneumophila</i> strain Paris. Here, we study the intracellular behaviour of three <i>L. pneumophila</i> strains (Paris, Philadelphia, and Lens) within <i>W. magna</i> C2c Maky and compare this strain to <i>A. castellanii</i> and <i>W. magna</i> Z503, which are used as controls. We observe the intracellular growth of strain Lens within <i>W. magna</i> Z503 and <i>A. castellanii</i> at 22 &#176;C and 37 &#176;C. Strain Paris grows within <i>A. castellanii</i> at any temperature, while it only grows at 22 &#176;C within <i>W. magna</i> Z503. Strain Philadelphia proliferates only within <i>A. castellanii</i> at 37 &#176;C. Within <i>W. magna</i> C2c Maky, none of the three legionella strains exhibit intracellular growth. Additionally, the ability of <i>W. magna</i> C2c Maky to decrease the number of internalized <i>L. pneumophila</i> is confirmed. These results support the idea that <i>W. magna</i> C2c Maky possesses unique behaviour in regard to <i>L. pneumophila</i> strains.

Eleftheria Polychronidou, Ilias Kalamaras, Andreas Agathangelidis et al.

Abstract Background Although the etiology of chronic lymphocytic leukemia (CLL), the most common type of adult leukemia, is still unclear, strong evidence implicates antigen involvement in disease ontogeny and evolution. Primary and 3D structure analysis has been utilised in order to discover indications of antigenic pressure. The latter has been mostly based on the 3D models of the clonotypic B cell receptor immunoglobulin (BcR IG) amino acid sequences. Therefore, their accuracy is directly dependent on the quality of the model construction algorithms and the specific methods used to compare the ensuing models. Thus far, reliable and robust methods that can group the IG 3D models based on their structural characteristics are missing. Results Here we propose a novel method for clustering a set of proteins based on their 3D structure focusing on 3D structures of BcR IG from a large series of patients with CLL. The method combines techniques from the areas of bioinformatics, 3D object recognition and machine learning. The clustering procedure is based on the extraction of 3D descriptors, encoding various properties of the local and global geometrical structure of the proteins. The descriptors are extracted from aligned pairs of proteins. A combination of individual 3D descriptors is also used as an additional method. The comparison of the automatically generated clusters to manual annotation by experts shows an increased accuracy when using the 3D descriptors compared to plain bioinformatics-based comparison. The accuracy is increased even more when using the combination of 3D descriptors. Conclusions The experimental results verify that the use of 3D descriptors commonly used for 3D object recognition can be effectively applied to distinguishing structural differences of proteins. The proposed approach can be applied to provide hints for the existence of structural groups in a large set of unannotated BcR IG protein files in both CLL and, by logical extension, other contexts where it is relevant to characterize BcR IG structural similarity. The method does not present any limitations in application and can be extended to other types of proteins.

Narcis BRANDUSESCU

First, I introduce the concept of government investment expenditure in the context of macroeconomic evolution of last decade (2008 – 2017). We had a terrible crisis in the beginning of analysed period of time prolonged into stagnation and a solid economic growth in last years. Based on Eurostat statistics database I will aggregate the data into eloquent charts to explain the evolution of the government investment expenditure between 2008 and 2017. Beyond those charts we can draw pertinent conclusions related to the synergic role of government investment expenditure in establishing a sustainable economic growth we all benefit from.

Boucher Yann G.

The formal identification between a two-mode waveguide and a system of two mutually coupled single-mode waveguides stems from the symmetries of the evolution operator. When the gap tends to zero, the super-modes of the coupled system merge continuously into the modes of the multimode waveguide. For modelling purposes, it is very tempting to extend the analogy to three-mode waveguides (and beyond). But not without some precautions…

Florian eLanz, Véronique eMoret, Eric Michel Rouiller et al.

Daily our central nervous system receives inputs via several sensory modalities, processes them and integrates information in order to produce a suitable behaviour. The amazing part is that such a multisensory integration brings all information into a unified percept. An approach to start investigating this property is to show that perception is better and faster when multimodal stimuli are used as compared to unimodal stimuli. This forms the first part of the present study conducted in a non-human primate’s model (n=2) engaged in a detection sensory-motor task where visual and auditory stimuli were displayed individually or simultaneously. The measured parameters were the reaction time (RT) between stimulus and onset of arm movement, successes and errors percentages, as well as the evolution as a function of time of these parameters with training. As expected, RTs were shorter when the subjects were exposed to combined stimuli. The gains for both subjects were around 20 and 40 msec, as compared with the auditory and visual stimulus alone, respectively. Moreover the number of correct responses increased in response to bimodal stimuli. We interpreted such multisensory advantage through redundant signal effect which decreases perceptual ambiguity, increases speed of stimulus detection and improves performance accuracy.The second part of the study presents single unit recordings derived from the premotor cortex (PM) of the same subjects during the sensory-motor task. Response patterns to sensory/multisensory stimulation are documented and specific type proportions are reported. Characterization of bimodal neurons indicates a mechanism of audio-visual integration possibly through a decrease of inhibition. Nevertheless the neural processing leading to faster motor response from PM as a polysensory association cortical area remains still unclear.

Iguchi Kei'ichiro, Yamamoto Gunji, Kon Takeshi et al.

<p>Abstract</p> <p>Background</p> <p><it>Carassius auratus </it>is a primary freshwater fish with bisexual diploid and unisexual gynogenetic triploid lineages. It is distributed widely in Eurasia and is especially common in East Asia. Although several genetic studies have been conducted on <it>C. auratus</it>, they have not provided clear phylogenetic and evolutionary descriptions of this fish, probably due to selection bias in sampling sites and the DNA regions analysed. As the first step in clarifying the evolutionary entity of the world's <it>Carassius </it>fishes, we attempted to clarify the phylogeny of <it>C. auratus </it>populations distributed in East Asia.</p> <p>Results</p> <p>We conducted a detailed analysis of a large dataset of mitochondrial gene sequences [<it>CR</it>, 323 bp, 672 sequences (528 sequenced + 144 downloaded); <it>CR </it>+ <it>ND4 </it>+ <it>ND5 </it>+ <it>cyt b</it>, 4669 bp in total, 53 sequences] obtained from <it>C. auratus </it>in East Asia. Our phylogeographic analysis revealed two superlineages, one distributed mainly among the Japanese main islands and the other in various regions in and around the Eurasian continent, including the Ryukyus and Taiwan. The two superlineages include seven lineages with high regional specificity that are composed of endemic populations indigenous to each region. The divergence time of the seven lineages was estimated to be 0.2 million years ago (Mya) by a fossil-based method and 1.0-1.9 Mya by the molecular clock method. The antiquity and endemism of these lineages suggest that they are native to their respective regions, although some seem to have been affected by the artificial introduction of <it>C. auratus </it>belonging to other lineages. Triploids of <it>C. auratus </it>did not form a monophyletic lineage but were clustered mostly with sympatric diploids.</p> <p>Conclusions</p> <p>The results of the present study revealed the existence of two superlineages of <it>C. auratus </it>in East Asia that include seven lineages endemic to each of the seven regions examined. The lack of substantial genetic separation between triploids and diploids indicates that triploids are not composed of a single independent lineage. The ancient origins and evolutionary uniqueness of the seven lineages warrant their conservation. An overall phylogenetic framework obtained from the present study will be of use for estimating the phylogenetic relationships of <it>Carassius </it>fishes on the Eurasian continent.</p>

Jiří Bílý

The document discusses the development of legal systems within the early Christian Church, starting from its initial informal guidelines to more structured canonical laws influenced by Roman civil law. It highlights the evolution of church law from the Didache in the first century to more complex legal texts in subsequent centuries, focusing on regulations for church governance, liturgical practices, and moral conduct. The transition from persecution to the Church's integration into the Roman government under Constantine significantly transformed its legal framework, emphasizing discipline within the community and the Church's growing hierarchical structure.