Single Element Research Articles

Using compound stimuli to establish equivalence classes with adults: An extension using different negative comparison compounds

ABSTRACT Equivalence classes are typically established using match to sample (MTS) procedures with single stimuli serving as samples and comparisons. In a recent study, however, equivalence classes were established with samples and comparisons consisting of compound stimuli (i.e., pairs of abstract symbols). One potential problem using compound stimuli during equivalence class formation, however, is that one element may overshadow the other, thereby disrupting class formation. To address this, the current study used two different compound configurations for incorrect (negative) comparisons during MTS. One group of participants was exposed to negative comparison compounds containing stimuli from only one class (referred to as Type 1 trials) while the other group was exposed to negative comparison compounds containing stimuli from both classes (Type 2 trials) along with Type 1 trials. Class formation was assessed with a test block containing single-element-to-single-element, single-element-to-compound, compound-to-single element, and compound-to-compound derived relations trials. A card sorting test with single elements was also conducted. Results showed that class formation was high and equally likely for both groups; therefore, overshadowing did not occur for either group. Thus, Type 2 trials may be unnecessary during class formation with compound stimuli, and their omission would likely increase efficiency of instruction.

Gain and bandwidth enhancement using superstrate loaded 2×2 circular-array antenna for X-Band and RADAR applications

ABSTRACT This article demonstrates the fabrication, and measurements of a corporate offset-fed 2 × 2 array electromagnetically coupled patch (EMCP) circular-antenna based on the Fabry-Perot cavity principle. Single element antenna has a low gain of 6.28 dBi and is enhanced to 13.45dBi by loading the array with a superstrate. The antenna parameters −10 dB fractional bandwidth (FBW) and gain are improved by an air gap with 4-stacked circular patches and 4 stubs in the proposed design. The peak gain of the 2 × 2 array without superstrate was 8.88 dBi at 8.19 GHz, which is enhanced to 13.82 dBi at 9.55 GHz by parasitic loading and superstrate. The FBW of the proposed array antenna was enhanced by arranging four stubs between the 4-circles in the superstrate structure. The −10 dB FBW without stubs was 24.82% (7.62–9.73 GHz) and with stubs it became 38.47% (7.73–11.0 GHz). Adjustment of the height of the superstrate at 2.0 mm not only enhanced the gain and bandwidth but also advancement in the unidirectional radiation patterns. The array is prototyped is measured to validate the reflection coefficients and radiation characteristics and they found an excellent match with simulated results. The suggested array is most suitable for energy launchers in transitions, RADAR, military, satellite, X-band communications, and microwave laboratory applications.

Lie group convolution neural networks with scale-rotation equivariance

The weight-sharing mechanism of convolutional kernels ensures the translation equivariance of convolutional neural networks (CNNs) but not scale and rotation equivariance. This study proposes a SIM(2) Lie group-CNN, which can simultaneously keep scale, rotation, and translation equivariance for image classification tasks. The SIM(2) Lie group-CNN includes a lifting module, a series of group convolution modules, a global pooling layer, and a classification layer. The lifting module transfers the input image from Euclidean space to Lie group space, and the group convolution is parameterized through a fully connected network using the Lie Algebra coefficients of Lie group elements as inputs to achieve scale and rotation equivariance. It is worth noting that the mapping relationship between SIM(2) and its Lie Algebra and the distance measure of SIM(2) are defined explicitly in this paper, thus solving the problem of the metric of features on the space of SIM(2) Lie group, which contrasts with other Lie groups characterized by a single element, such as SO(2). The scale-rotation equivariance of Lie group-CNN is verified, and the best recognition accuracy is achieved on three categories of image datasets. Consequently, the SIM(2) Lie group-CNN can successfully extract geometric features and perform equivariant recognition on images with rotation and scale transformations.

Discovering Multi-Compositional Li-Argyrodite Solid-State Electrolytes via Experimental Active Learning.

Significant research has focused on doping third-party elements into representative Li-Argyrodites, which typically consist of a metal cation, a sulfide anion, and a halide. These efforts have generally been limited to doping or substituting a single element at each atomic site in the Argyrodite structure, resulting in, at most, binary combinations at each site. Multi-elemental doping or substitution poses a challenge due to the so-called combinatorial explosion issue. Here, the study reports quaternary and ternary combinations at either the cation or anion sites, optimizing the composition for ambient-temperature ionic conductivity. Managing such a complex multi-compositional system requires artificial intelligence that surpasses human intuition. A particle swarm optimization (PSO) algorithm is employed within an active learning framework to tackle this multi-dimensional optimization problem. Unlike typical active learning approaches that rely on theoretical computational data, the process is driven by experimental data from the synthesis and characterization of a few hundred multi-compositional Argyrodite samples This experimental active learning approach ultimately enables identifying a novel multi-compositional Li-Argyrodite, exhibiting ambient-temperature ionic conductivity of 13.02 mS cm⁻¹ and enhanced cell performance, with the composition Li6.425Ge0.25Si0.375Sb0.375S4.8I1.2.

Highly dispersive multiplexed micromechanical device array for spatially resolved sensing and actuation

The powerful resource of parallelizing simple devices for realizing and enhancing complex operations comes with the drawback of multiple connections for addressing and controlling the individual elements. Here we report on a technological platform where several mechanical resonators can be individually probed and electrically actuated by using dispersive multiplexing within a single electrical channel. We demonstrate room temperature control of the individual device vibrational motion and spatially-resolved readouts. As the single elements have proven to be excellent bolometers and individual nodes for reservoir computing, our platform can be directly employed for single-channel addressing of multiple devices, with immediate applications for far-infrared cameras, spatial light modulators and recurrent neural networks operating at room temperature.

The driving factors, configuration paths and effects of employment polarization under the development of digital economy.

Taking the development of China's digital economy as a background, the article provides an in-depth analysis and summarises the influencing factors of labour force employment polarisation. The study employs provincial panel data from 2010 to 2020, applies fuzzy set qualitative comparative analysis methods, and constructs a fixed-effects model in order to explore the drivers, paths and their effects of employment polarisation. The results of the study show that economic, social and educational environments together have a significant impact on employment polarisation through interactions and synergistic effects; it also identifies four main paths of labour force employment polarisation, which are numerical-social-environment-driven, numerical-educational-environment-driven, numerical-economic-environment-driven, and types driven by other factors; this study also finds that compared to the summed impact of single elements, these grouping pathways have a more significant impact on employment polarisation. These findings not only provide a key perspective for understanding how the digital economy shapes employment polarisation, but also provide an empirical basis and insights for policies based on the findings.

The Role of Single Landscape Elements in Enhancing Landscape Aesthetics and the Sustainable Tourism Experience: A Case Study of Leisure Furniture

The Role of Single Landscape Elements in Enhancing Landscape Aesthetics and the Sustainable Tourism Experience: A Case Study of Leisure Furniture

Learned Multi-aperture Color-coded Optics for Snapshot Hyperspectral Imaging

Learned optics, which incorporate lightweight diffractive optics, coded-aperture modulation, and specialized image-processing neural networks, have recently garnered attention in the field of snapshot hyperspectral imaging (HSI). While conventional methods typically rely on a single lens element paired with an off-the-shelf color sensor, these setups, despite their widespread availability, present inherent limitations. First, the Bayer sensor's spectral response curves are not optimized for HSI applications, limiting spectral fidelity of the reconstruction. Second, single lens designs rely on a single diffractive optical element (DOE) to simultaneously encode spectral information and maintain spatial resolution across all wavelengths, which constrains spectral encoding capabilities. This work investigates a multi-channel lens array combined with aperture-wise color filters, all co-optimized alongside an image reconstruction network. This configuration enables independent spatial encoding and spectral response for each channel, improving optical encoding across both spatial and spectral dimensions. Specifically, we validate that the method achieves over a 5dB improvement in PSNR for spectral reconstruction compared to existing single-diffractive lens and coded-aperture techniques. Experimental validation further confirmed that the method is capable of recovering up to 31 spectral bands within the 429--700 nm range in diverse indoor and outdoor environments.

Encoding complex speech acts via sentence final particles

Abstract This paper examines the use of the sentence final particle tai (呔) in the Changsha dialect (Xiang Chinese). It is demonstrated that tai encodes complex speech acts: on the one hand, it expresses the speaker’s high degree of certainty about the truth value of the associated proposition p; on the other, it seeks the addressee’s confirmation, via an implicitly entailed biased question, of the truth value of p. In view of the discursive interplay between the speaker and the addressee expressed by tai, the present study adopts a syntax-pragmatics interface approach to the syntax of tai, decomposing the complex speech acts it conveys into three functional projections at the structural level. Two are related to the speaker’s and the addressee’s knowledge/belief in the utterance (i.e., GroundSpkrP and GroundAdrP) and one is responsible for the speaker’s call on the addressee to confirm (i.e., ResponseP). This study contributes to cross-linguistic investigations on the grammatical realization of complex speech acts, an area which remains in its infancy. Tai represents a new type of grammatical strategy for expressing complex speech acts, that is, to encode the speaker’s commitment and the addressee’s engagement via a single lexical element without any particular intonation pattern.

The impact of orientation changes in kindergarten activity rooms in different light climate zones of China on indoor daylighting environment

Kindergarten activity rooms benefit children’s growth and development under good natural indoor lighting conditions. Therefore, it is of great significance to conduct research on the indoor daylighting effects of kindergarten activity rooms under different orientations. However, most of the existing studies are based on the analysis and simulation of fixed orientations and single elements, and lack of comprehensive evaluation and analysis. Based on the above problems, this study utilizes China’s light climate data and daylighting standards for kindergartens, and selects Linzhi, Kunming, Zhengzhou, Hangzhou, and Guiyang as the research locations, and comprehensively evaluates the indoor daylighting effects. The results of the study show that: (1) The daylighting effect of kindergarten activity rooms in China’s different light climate zones varies greatly, mainly affected by the daylighting orientation, and the high-quality daylighting orientations of the five cities mainly focuses on the range of 210°–255°; (2) The value of sDA of the five cities is basically more than 75%, the uniformity of daylighting effects has all achieved good or higher standards; (3) Guiyang is the least affected by glare, with the smallest impact time range, while the other four cities are more serious. This study explores the impact of sDA, illuminance, and DGP in kindergarten activity rooms on children. The results provide a valuable baseline and technical reference for the daylighting design of kindergarten activity rooms.

The genome of the cryopelagic Antarctic bald notothen, Trematomus borchgrevinki.

The Antarctic bald notothen, Trematomus borchgrevinki (family Nototheniidae) occupies a high latitude, ice-laden environment and represents an extreme example of cold-specialization among fishes. We present the first, high quality, chromosome-scale genome of a female T. borchgrevinki individual comprised of 23 putative chromosomes, the largest of which is 65 megabasepairs (Mbp) in length. The total length of the genome 935.13 Mbp, composed of 2,094 scaffolds, with a scaffold N50 of 42.67 Mbp. Annotation yielded 22,192 protein coding genes while 54.75% of the genome was occupied by repetitive elements; an analysis of repeats demonstrated that an expansion occurred in recent time. Conserved synteny analysis revealed that the genome architecture of T. borchgrevinki is largely maintained with other members of the notothenioid clade, although several significant translocations and inversions are present, including the fusion of orthologous chromosomes 8 and 11 into a single element. This genome will serve as a cold-specialized model for comparisons to other members of the notothenioid adaptive radiation.

The driving pathways for the construction of rural e-commerce entrepreneurial ecosystem based on the TOE framework

This research explores the driving pathways for building a high-level rural e-commerce entrepreneurial ecosystem, providing valuable insights for responding to global policies promoting rural entrepreneurship and innovation and accelerating rural industrial development. However, existing studies on the “rural e-commerce entrepreneurial ecosystem” lack in-depth exploration. Based on the CAS (Complex Adaptive System) theory and TOE (Technological, Organizational, and Environmental) framework, we conducted a comprehensive case study across 31 Chinese provinces, focusing on seven key indicators within three dimensions: technology, organization, and environment. Employing the Fuzzy Set Qualitative Comparative Analysis (fsQCA) method, we examined key factors and driving pathways influencing the establishment of successful rural e-commerce entrepreneurial ecosystems in China. The main findings of this study are as follows: (1) The construction of a rural e-commerce entrepreneurial ecosystem is not driven by a single element but is the result of the combined effects of multiple facets and factors. (2) The number of leading agricultural enterprises and the establishment of e-commerce cooperatives are critical factors promoting the high-level construction of rural e-commerce entrepreneurial ecosystems. (3) Typical driving pathways for advancing the construction of rural e-commerce entrepreneurial ecosystems can be categorized into three types: technology-organization-government-driven, organization-environment-driven, and holistic synergy-driven. The research findings are instrumental in guiding the government to formulate systematic policies that support the development of leading agricultural enterprises and e-commerce cooperatives. Additionally, these policies should be tailored to the specific characteristics of different regions to create differentiated driving paths. Implementing these measures can effectively promote rural e-commerce entrepreneurship.

Design and characterization of a circular ring monopole antenna and its MIMO configuration for sub-6 GHz, sub-7 GHz and mm-wave 5G applications

Abstract In this paper, a circular ring monopole antenna, along with its MIMO configuration for sub-6 GHz, sub-7 GHz and mm-wave 5G applications is presented. The single element spans a wide range of frequencies in the sub-6 GHz and mm-wave regions, including a triple-band covering 1.9–6 GHz, 23.3–33.5 GHz, and a super-wide band starting from 37.5 GHz. A two-element MIMO antenna, derived from the single element, has been developed to operate in both frequency regions. It meets the -10 dB criterion with a bandwidth of 4.8 GHz (3.2 to 7.3 GHz) in the sub-6 GHz/sub-7 GHz spectrum. Additionally, the antenna exhibits a super-wide band in the mm-wave region starting at 30.4 GHz. The design covers key bands such as n78, LTE band 46, n96, 39 GHz band, 41 GHz band and more, assigned for 5G sub-6 GHz, sub-7 GHz and mm-wave applications. Improved isolation from 12 dB to 18.5 dB is achieved through a simple decoupling line structure between elements. The proposed MIMO antenna (75 × 56.4 × 1.52 mm³) exhibits a peak gain of 9.8 dBi, high isolation (18.5 dB), low envelope correlation coefficient (ECC <0.016 ), high diversity gain (DG > 9.995), and efficiency (< 97%).

A versatile conformal circularly polarized quad-element antenna for X-band applications

This article presents a flexible four-element antenna for X-band applications. The proposed antenna covers the spectrum ranging from 10.6 to 11.9 GHz, including a significant portion of the X-band. The single antenna element comprises a modified E-shaped radiating patch, which is fed by a unique feeding structure consisting of a 50-Ω feeding strip connected with two rectangular stubs on both sides. All antenna elements are printed on a flexible felt 60 mm × 60 mm × 1 mm (2.12 λ × 2.12 λ × 0.035 λ at 10.6 GHz) substrate. The proposed antenna exhibits circular polarization over the desired bans of operation with an axial ratio (< 3 dB) bandwidth of 1.2 GHz, which is significant for X-band applications. The designed antenna is manufactured and practically tested. Both simulated and measured results agree well with each other, ensuring the optimal performance of the antenna. Moreover, the antenna achieves a maximum gain of up to 8 dBi in the desired band of operation. Further MIMO parameters, including envelope correlation coefficient (ECC), diversity gain (DG), channel capacity loss (CCL), and mean effective gain (MEG), are calculated to validate the MIMO performance. Finally, a conformal analysis was carried out to study the robustness of the antenna in various bending scenarios. Results show that the antenna reported in this article is the correct choice for conformal X-band MIMO applications.

Third-order geometric stiffness formulation for improved mesh convergence of thin and wide spatial beams in the generalized strain beam formulation

AbstractThis paper presents the stiffness formulation of a beam element with the relevant third-order nonlinear geometric effects for relatively wide and thin rectangular beams, in particular when loaded in the plane and simultaneously deformed out of the plane. The element is initially straight in its undeformed configuration. The formulation is based on Timoshenko beam theory with nonuniform torsion and Wagner effects. The derivation is carried out by means of the Hellinger–Reissner variational principle with custom interpolation functions. The element is incorporated into the generalized strain beam formulation for multibody systems. Numerical simulations of precision flexure mechanisms show that the use of a single third-order element per flexible member can already yield adequate performance, at a significant reduction of the necessary degrees of freedom and the computation time, compared with using multiple second-order elements in the generalized strain beam formulation.

Source–Sink Structural Coupling Within Forest-Clustered Landscapes Drives Headstream Quality Dynamics in Mountainous Sub-Watersheds: A Case Study in Chongqing, China

Water environment quality is profoundly driven by a series of landscape characteristics. However, current knowledge is limited to the independent response of water quality to single landscape elements; this has led to poor knowledge of the potential role of structural coupling within landscapes in driving water quality changes, especially in those agroforestry-mixed mountainous watersheds with highly embedded forest-clustered landscapes and abundant headstreams. Given this fact, this study aims to evaluate whether and how the source–sink coupling structure of forest-clustered landscapes systematically drives headstream quality dynamics. We first systematically assessed the association pattern of source and sink structures within forest-clustered landscapes, and then innovatively proposed and constructed a functional framework of source–sink coupling structure of landscapes across 112 agroforestry-mixed mountainous sub-watersheds in Chongqing, China. On this basis, we further evaluated the driving pattern and predictive performance of the source–sink coupling structure of landscapes behind headstream quality dynamics. We report three findings: (1) headstream quality varied across agroforestry-mixed sub-watersheds, mapping out the source–sink structures and functions of landscapes; (2) there was significant functional coordination between source–sink structures of the forest-clustered landscapes, which significantly drove headstream quality dynamics; (3) the structural positioning and differences of the forest-clustered landscapes along the multivariate functional axes directly corresponded to and predicted headstream quality status. These findings together highlight a key logic that the response of water quality dynamics to landscapes is essentially that to the functional coupling between the source–sink structures of landscapes, rather than the simple combination of a single landscape contribution. This is the first study on the landscape–runoff association from the perspective of source–sink structural coupling, which helps to deepen understanding of the correlation mechanism between water dynamics and landscape systems, and provides a new functional dimension to the development of future landscape ecological management strategies from a local to a global scale.

A Quantified Methodology for Evaluating Engineering Sustainability: Ecological Footprint Measurement Modeling

With the gradual increase in public awareness of ecological environmental protection, how to manage the increasingly tight supply of natural ecological energy and resources and the more evident greenhouse effect, how to properly treat and deal with the relationship between people, engineering and the ecological environment during the construction phase of engineering projects as well as how to evaluate the degree of environmental friendliness and sustainable development ability of engineering projects will become an urgent issue. Stakeholders in engineering projects must seriously consider these vital issues. Existing studies on the evaluation of engineering–ecology sustainable development capacity mainly focus on the regional and industry levels, with less research focusing on the sustainability of individual engineering projects; furthermore, they are primarily concentrated on the qualitative evaluation perspective. In order to refine these shortcomings, based on the viewpoint of the ecosystem of construction projects, this paper integrates the concept of whole life cycle with the ecological footprint measurement model and defines the notion of the ecological footprint of the whole life cycle of construction projects. Subsequently taking the above concept as the foundation and making the ecological footprint of various activities throughout the life cycle of a construction project a specific study object, the research establishes the ecological footprint measurement model of the whole life cycle of the project, and comprehensively evaluates the impacts on the surrounding environment, which include the consumption of energy resources, CO2 and the absorption of solid wastes across the whole life cycle of the project. We then measure the sustainable development ability of engineering projects by comparing the ecological footprint with the ecological carrying capacity of a certain surrounding region. Finally, the practicability and reliability of the model is verified through the example’s application. Thus, the results of the study have significant theoretical and practical implications: (1) the introduction of the ecological footprint addresses the gap about the quantitative evaluation of the sustainability of individual engineering projects from a micro perspective; (2) it compensates for the shortcomings of other evaluation methods that only evaluate a single element, such as only CO2, resources, energy or solid waste and so on; and (3) stakeholders can use the measured model to quantitatively assess the sustainability of new projects or urban renewal projects, providing strong support for project feasibility studies and project-establishment.

The Importance of the Skin Syndrome in the Primary Diagnosis of Connective Tissue Diseases in Children: Case Report

Background. Timely verification of the clinical diagnosis of connective tissue diseases in children based on the onset of the earliest symptoms, including skin manifestations, and timely initiation of treatment can prevent the development of irreversible complications, increase the life expectancy of patients and its quality. The aim of the study. To analyze the nature of skin manifestations as a marker of the onset connective tissue disorders, such as systemic lupus erythematosus (SLE), localized scleroderma (morphea), juvenile dermatomyositis (JDM), juvenile polyarteritis nodosa (PAN), systemic juvenile idiopathic arthritis (SJIA), and the timing of the main clinical diagnosis from the moment of manifestation of connective tissue disorders. To clearly demonstrate the importance of skin syndrome in the timeliness of clinical diagnosis, a clinical case is presented. Methods. Analysis of medical records and prospective observation of 47 patients aged up to 17 years 11 months with an established diagnosis of connective tissue diseases and the presence of skin syndrome at the onset of the disease. Results. Among patients with SLE, only 20.0% of children had skin syndrome only in the form of butterfly rash, and other skin manifestations were noted in 80.0% of patients. The period from the onset of skin syndrome to diagnosis was 8.0 ± 2.1 months. In 57.2% of patients with morphea, skin syndrome was detected exclusively in the form of single or multiple elements, and in 42.8% there was a combination of a pathognomonic morphological element with alopecia and scleroderma. The average time to make a clinical diagnosis of morphea from the onset of the skin syndrome was 11.0 ± 1.9 months. In all patients with JDM, skin manifestations were characterized by polymorphism (papules and Gottron’s sign, heliotrope rash, palmar capillaritis, livedo reticularis, cheilitis). The diagnosis was made 14.0 ± 3.2 months from the onset of skin syndrome. In patients with documented PAN, skin manifestations debuted in the form of erythema, areas of necrosis, palmar capillaritis, livedo reticularis, and cheilitis. The period from the onset of skin syndrome to clinical diagnosis was 6.0 ± 2.4 months. Among patients with SJIA, skin syndrome was represented by a maculopapular rash associated with fever and its regression when body temperature normalized. The period until clinical diagnosis was made from the onset of the skin syndrome was 2.0 ± 1.1 months. Conclusion. In most cases, the skin syndrome in patients at the onset of the disease was characterized by polymorphism and diversity of elements with the involvement of the vascular component. At the same time, the time from the debut of connective tissue disease in the form of the appearance of skin syndrome to the clinical diagnosis varied in the range from 2 to 14 months.

The operationalization of bilingual linguistic experience and its relationship with executive function

Research of the relation between linguistic experiences and the executive function have been a hot topic in the field of psycholinguistics for over two decades. Considerable body of studies have provided both supporting and challenging evidence for the existence of such relation. The final answer about the relation between the linguistic experiences and the executive function has not been obtained yet, due to reconsiderations of the established methodological approaches and new theories still being developed, which challenge the validity of earlier findings. This article is an attempt to summarize and explain current trends in this line of studies, specifically focusing on the issue of operationalization of linguistic experiences. Bilingualism and multilingualism are complex constructs, composed of multiple elements that can have unique, independent effects on cognition, including language proficiency, manner and duration of language acquisition, current tendencies of language use. Earlier studies had a tendency to focus on a single element of language experience for categorical distinction between monolinguals and bilinguals, converging the great variability in the latter under a single category. Each element of linguistic experience has to be accounted for and carefully operationalized in a way that would allow reasonable comparison between different research on the topic. In addition to exploring the effects of various elements of linguistic experiences on cognitive control, interactions between those experiences also demand attention, which have been largely overlooked. Finally, each study has to be backed up by a solid theoretical background, which was argued to be a problem for the research of the relation between the linguistic experiences and the executive function, but has great potential for resolving the inconsistencies in research findings. Not all experiences with languages require effortful cognitive processing and adaptations, and even if some might, a comprehensive theory is required to explain how cognitive adaptations for language use can be generalized for other domains of cognition.

High-entropy sulfides enhancing adsorption and catalytic conversion of lithium polysulfides for lithium-sulfur batteries

Lithium-sulfur (Li-S) batteries with high energy density suffer from the soluble lithium polysulfide species. Traditional metal sulfides containing a single metal element used as electrocatalysts for Li-S batteries commonly have limited catalytic abilities to improve battery performance. Herein, based on the Hume-Rothery rule and solvothermal method, the high-entropy sulfide NiCoCuTiVSx derived from Co9S8 was designed and synthesized, to realize the combination of small local strain and excellent catalytic performance. With all five metal elements (Ni, Co, Cu, Ti, and V) capable of chemical interactions with soluble polysulfides, NiCoCuTiVSx exhibited strong chemical confinement of polysulfides and promoted fast kinetics for polysulfides conversion. Consequently, the S/NiCoCuTiVSx cathode can maintain a high discharge capacity of 968.9 mA h g−1 after 200 cycles at 0.5 C and its capacity retention is 1.3 times higher than that of S/Co9S8. The improved cycle stability can be attributed to the synergistic effect originating from the multiple metal elements, coupled with the reduced nucleation and activation barriers of Li2S. The present work opens a path to explore novel electrocatalyst materials based on high entropy materials for the achievement of advanced Li-S batteries.