Research Platform Research Articles

Ideal quadratic nodal point in half-Heusler semimetal LaPtBi

The research focus on topological states in electronic systems has recently expanded from traditional linear dispersions to encompass higher-order dispersions. These higher-order dispersions exhibit unique physical properties, including high topological charge, exotic magnetoresponse, and novel transport behaviors. In this study, we employ first-principles calculations to propose the half-Heusler material LaPtBi as an ideal quadratic nodal point semimetal. Our comprehensive analysis of the band structure reveals an ideal nodal point located precisely at the Fermi level, exhibiting quadratic dispersion in all directions. This finding is supported by symmetry analysis and effective model arguments. Moreover, when the spin-orbit coupling effect is considered, the nodal point transitions from triple to quadruple degeneracy, while maintaining its quadratic dispersion. The material also features multiple prominent arc surface states originating from the nodal point, which are distinctly separated from the bulk bands. This separation facilitates experimental verification. Overall, LaPtBi, with its quadratic nodal point and advantageous properties, serves as an ideal platform for further research. The study of this material is expected to enhance our understanding of higher-order topological states in electronic systems, potentially driving future advancements in the field.

Exploring the impact of microfluidic chip structure on the efficacy of three-dimensional tumor microspheres cultivation.

Three-dimensional (3D) tumor microspheres can simulate the interaction and growth dynamics of tumor cells, and have been used as a new in vitro model for drug screening and tumor biology related research. The scaffold-free culture of 3D tumor microspheres on microfluidic chips has many advantages, including low cost, high throughput, convenience and flexibility. However, it is still unclear how various factors, such as chip structure, influence the culture effect of tumor microspheres. The lack of standardized evaluation and characterization of the culture effect hinders the further optimization and development of chip function. This study presents numerical simulations of multiple parts or processes of the proposed 3D culture chips with two different structural parameters based on computational fluid dynamics (CFD) methods. An evaluation system for tumor microspheres was established. The prediction of the CFD simulation was consistent with the culture results of the chips, reflecting the important role of the structural parameters of the microtrap in the formation of uniform tumor microspheres. Furthermore, the velocity of cell suspension also had a significant impact on the retention of tumor cells. Additionally, the drug screening results of tumor microspheres indicated that tumor microspheres exhibit greater drug resistance, which may be attributed to their size. These results offer valuable insights into the factors that influence the characteristics of tumor microspheres. This research provides a reference and direction for the optimal design and functional evaluation of scaffold-free 3D culture chips, and holds promise for promoting the development of novel drug research platforms.

Design & automation of a small-scale towing tank for flow visualization

Although the towing tank is a standard piece of equipment used to investigate fluid phenomena, it primarily exists as custom-built hardware that takes up a significant footprint. The size, cost, and custom-built nature have heretofore inhibited the production of this equipment in the authors’ context, an African university. This paper presents a small-scale (1000 mm x 200 mm x 200 mm), low-cost (<$1,000) towing tank made using readily available components and basic digital fabrication tools. Other universities on the continent and beyond can hence create this foundational platform for fluid mechanics-related teaching and research. Leveraging an Arduino microcontroller loaded with the GRBL firmware, G-code is sent from the computer to stepper motors to execute movements in two axes. This allows for automation capabilities, controlled towing speeds, and consistent experimental conditions. Validation tests revealed motion accuracy within 1 %. A glitter-based flow visualization approach to measuring surface phenomena is demonstrated here. Experiments conducted successfully visualized relevant flow characteristics generated by bluff bodies being towed in the tank. As the Reynolds number increased within the operating range, wider wakes and larger, more distinct vortices were generated, as expected. This platform can be replicated widely in institutions that may otherwise forego experimentation in fluid mechanics.

Simultaneous electromechanical monitoring in engineered heart tissues using a mesoscale framework.

Engineered heart tissues (EHTs) generated from human induced pluripotent stem cell-derived cardiomyocytes (hiPSC-CMs) represent powerful platforms for human cardiac research, especially in drug testing and disease modeling. Here, we report a flexible, three-dimensional electronic framework that enables real-time, spatiotemporal analysis of electrophysiologic and mechanical signals in EHTs under physiological loading conditions for dynamic, noninvasive, longer-term assessments. These electromechanically monitored EHTs support multisite measurements throughout the tissue under baseline conditions and in response to stimuli. Demonstrations include uses in tracking physiological responses to pharmacologically active agents and in capturing electrophysiological characteristics of reentrant arrhythmias. This platform facilitates precise analysis of signal location and conduction velocity in human cardiomyocyte tissues, as the basis for a broad range of advanced cardiovascular studies.

3D Modeling: Insights into the Metabolic Reprogramming of Cholangiocarcinoma Cells.

Developing accurate in vitro models that replicate the in vivo tumor environment is essential for advancing cancer research and therapeutic development. Traditional 2D cell cultures often fail to capture the complex structural and functional heterogeneity of tumors, limiting the translational relevance of findings. In contrast, 3D culture systems, such as spheroids, provide a more physiologically relevant context by replicating key aspects of the tumor microenvironment. This study aimed to compare the metabolism of three intrahepatic cholangiocarcinoma cell lines in 2D and 3D cultures to identify metabolic shifts associated with spheroid formation. Cells were cultured in 2D on adhesion plates and in 3D using ultra-low attachment plates. Metabolic exchange rates were measured using NMR, and intracellular metabolites were analyzed using LC-MS. Significant metabolic differences were observed between 2D and 3D cultures, with notable changes in central carbon and glutathione metabolism in 3D spheroids. The results suggest that 3D cultures, which more closely mimic the in vivo environment, may offer a more accurate platform for cancer research and drug testing.

Artificial Meshed Vessel-Induced Dimensional Breaking Growth of Human Brain Organoids and Multiregional Assembloids.

Brain organoids are widely used to model brain development and diseases. However, a major challenge in their application is the insufficient supply of oxygen and nutrients to the core region, restricting the size and maturation of the organoids. In order to vascularize brain organoids and enhance the nutritional supply to their core areas, two-photon polymerization (TPP) 3D printing is employed to fabricate high-resolution meshed vessels in this study. These vessels made of photoresist with densely distributed micropores with a diameter of 20 μm on the sidewall, are cocultured with brain organoids to facilitate the diffusion of culture medium into the organoids. The vascularized organoids exhibit dimensional breaking growth and enhanced proliferation, reduced hypoxia and apoptosis, suggesting that the 3D-printed meshed vessels partially mimic vascular function to promote the culture of organoids. Furthermore, cortical, striatal and medial ganglionic eminence (MGE) organoids are respectively differentiated to generate Cortico-Striatal-MGE assembloids by 3D-printed vessels. The enhanced migration, projection and excitatory signaling transduction are observed between different brain regional organoids in the assembloids. This study presents an approach using TPP 3D printing to construct vascularized brain organoids and assembloids for enhancing the development and assembly, offering a research model and platform for neurological diseases.

Ginkgo Biloba Bioactive Phytochemicals against Age-Related Diseases: Evidence from a Stepwise, High-Throughput Research Platform.

The seeds of ginkgo biloba L (GB) have been widely used worldwide. This study investigated the bioefficacies of whole GB seed powder (WGP) retaining the full nutrients of ginkgo against aging, atherosclerosis, and fatigue. The experimental results indicated that WGP lowered brain monoamine oxidase and serum malondialdehyde levels, enhanced thymus/spleen indexes, and improved learning ability, and delayed aging in senescent mice. WGP regulated lipid levels and prevented atherosclerosis by reducing triglycerides, lowering low-density lipoprotein cholesterol, increasing high-density lipoprotein cholesterol, and decreasing the atherosclerosis index. WGP improved exercise performance by reducing blood lactate accumulation and extending exhaustive swimming and climbing times, improved energy storage by increasing muscle/liver glycogen levels, and relieved physical fatigue. Network pharmacology analysis revealed 270 potential targets of WGP that play roles in cellular pathways related to inflammation inhibition, metabolism regulation, and anti-cellular senescence, etc. Protein-protein interaction analysis identified 10 hub genes, including FOS, ESR1, MAPK8, and SP1 targets. Molecular docking and molecular dynamics simulations showed that the bioactive compounds of WGP bound well to the targets. This study suggests that WGP exerts prominent health-promoting effects through multiple components, targets, and pathways.

Flexible Single-Crystal Perovskite Photodetectors via Polymer-Controlled Transfer.

The large-sized perovskite single-crystal sheet (SCS) serves as the ideal research platform for perovskite photodetectors due to its outstanding carrier photophysics, pronounced geometric aspect ratio, and ultrahigh material utilization rate. However, its performance in flexible device applications is relatively lackluster due to the rigid and brittle nature of the three-dimensional cubic lattices. In this work, the indium tin oxide (ITO)-based multimillimeter-sized MAPbBr3 SCS is transformed into MAPbI3 SCS via ion exchange strategy. Significantly, we proposed and implemented a polymer-controlled transfer strategy─utilizing the dichloromethane (DCM) solution of poly(methyl methacrylate) (PMMA)─to nondestructively transfer the whole perovskite SCS off the ITO substrates and subsequently adhere it onto a flexible polyethylene terephthalate (PET) substrate of interdigital electrode, thereby fabricating a lateral-structured photodetector with a PMMA-SCS-Au-PET multilayer configuration. The tight self-encapsulation between the top PMMA membrane and the bottom PET substrate imparts excellent waterproof stability and concurrently excellent mechanical flexibility to these devices; additionally, the MAPbI3 device exhibits comprehensively superior performance to the MAPbBr3 one. This work represents a proactive attempt and exploration of the high-performance advancement of large-sized SCS photodetectors, undoubtedly introducing novel momentum and solutions to this domain.

A review of resistance–capacitance thermal network model in urban building energy simulations

With the increasing population and urbanization promotion, energy consumption and carbon emissions have increased, and concern for inefficient energy use and deteriorating urban environments is growing. The prediction of building energy consumption and environmental evaluation, especially at large scales, are considered to be a major challenge confronting the research community. An outstanding strategy for mitigating energy consumption and carbon emissions resides in the field of energy modeling. As a simplified building energy modeling model, resistance–capacitance (RC) network model has the applications in fast predicting building energy consumption. Notably, in recent years, there has been an evident absence of thorough review endeavors related to RC model for urban building energy loads and climate. This review systematically explores the application of low-order models and reduction methods for urban or regional energy simulation starting from the typical RC model for building. In summation, the challenges associated with employing this model for urban building energy loads and climate can be succinctly summarized as follows: the absence of a unified platform for RC modeling; insufficient readily applicable urban datasets; the need for modeling tools that facilitate cross-platform analyses in conjunction with existing Geographic Information Systems (GIS) and urban thermal environment simulation research platforms, and the essential requirement for seamless integration with other complementary modules.

AVaTER: Fusing Audio, Visual, and Textual Modalities Using Cross-Modal Attention for Emotion Recognition.

Multimodal emotion classification (MEC) involves analyzing and identifying human emotions by integrating data from multiple sources, such as audio, video, and text. This approach leverages the complementary strengths of each modality to enhance the accuracy and robustness of emotion recognition systems. However, one significant challenge is effectively integrating these diverse data sources, each with unique characteristics and levels of noise. Additionally, the scarcity of large, annotated multimodal datasets in Bangla limits the training and evaluation of models. In this work, we unveiled a pioneering multimodal Bangla dataset, MAViT-Bangla (Multimodal Audio Video Text Bangla dataset). This dataset, comprising 1002 samples across audio, video, and text modalities, is a unique resource for emotion recognition studies in the Bangla language. It features emotional categories such as anger, fear, joy, and sadness, providing a comprehensive platform for research. Additionally, we developed a framework for audio, video and textual emotion recognition (i.e., AVaTER) that employs a cross-modal attention mechanism among unimodal features. This mechanism fosters the interaction and fusion of features from different modalities, enhancing the model's ability to capture nuanced emotional cues. The effectiveness of this approach was demonstrated by achieving an F1-score of 0.64, a significant improvement over unimodal methods.

Women’s Vocalization in the First and Second Stages of Labour: A Scoping Review Protocol

Taking into account the growing increase in the political and social interest in childbirth, it is critical to identify and explore the instruments that allow and enhance its humanization today. The use of vocalization seems to be a powerful and empowering tool for a positive birthing experience when used by women in labour. A scoping review will be developed to map the evidence and knowledge about women’s vocalization in the first and second stages of labour using the Joanna Briggs Institute methodology. The search will be carried out on the Web of Science, EBSCOhost Research Platform (selecting Academic Search Complete, MedicLatina, Cinahl plus with full text, Medline with full text), Willey Online Library, PubMed and Scopus. The National Register of Theses and Dissertations and the Open Scientific Repository of Portugal will also be taken into account. Three reviewers will conduct data analysis, extraction and synthesis independently. The outcomes pretend to be a source for identifying the use of vocalization by women in labour, in order to guide further research on the subject. This study was prospectively registered with the Open Science Framework on the 21 May 2024, with registration number DOI 10.17605/OSF.IO/Z58F4.

Gain-enhanced suspended optomechanical system with tunable dissipative coupling strength

Active cavity optomechanical system provides an invaluable physical platform for cavity optomechanics research, particularly those involving dissipative coupling, which holds significant potential for advancing the field of quantum physics. In our previous work, an active levitated optomechanical system was established for the first time [Nat. Phys 19, 414 (2023)10.1038/s41567-022-01857-9]. Here we report a gain-enhanced suspended optomechanical system based on the dissipative coupling between the SiN membrane and the intracavity laser. This system has a high dissipative coupling strength which is widely tunable through simple mechanical adjustments. Moreover, the influence of pumping power and the propagation distance of the free-space beam on the maximum effective dissipative coupling strength is comprehensively investigated. Based on the numerical discussion, we propose effective methods to enhance the dissipative coupling experimentally. The active suspended cavity optomechanical system has great potential in realizing the cooling of the membrane to the quantum ground state or heating the membrane to produce phonon lasers, which can be applied to such cutting-edge fields as quantum precision measurements, macroscopic quantum state, and information transmission and processing.

Tunable Hybrid Hydrogels of Alginate and Cell-Derived dECM to Study the Impact of Matrix Alterations on Epithelial-to-Mesenchymal Transition.

Epithelial-to-mesenchymal transition (EMT) is crucial for tumor progression, being linked to alterations in the extracellular matrix (ECM). Understanding the ECM's role in EMT can uncover new therapeutic targets, yet replicating these interactions in vitro remains challenging. It is shown that hybrid hydrogels of alginate (ALG) and cell-derived decellularized ECM (dECM), with independently tunable composition and stiffness, are useful 3D-models to explore the impact of the breast tumor matrix on EMT. Soft RGD-ALG hydrogels (200Pa), used as neutral bulk material, supported mammary epithelial cells morphogenesis without spontaneous EMT, allowing to define the gene, protein, and biochemical profiles of cells at different TGFβ1-induced EMT states. To mimic the breast tumor composition, dECM from TGFβ1-activated fibroblasts (adECM) are generated, which shows upregulation of tumor-associated proteins compared to ndECM from normal fibroblasts. Using hybrid adECM-ALG hydrogels, it is shown that the presence of adECM induces partial EMT in normal epithelial cells, and amplifes TGF-β1 effects compared to ALG and ndECM-ALG. Increasing the hydrogel stiffness to tumor-like levels (2.5kPa) have a synergistic effect, promoting a more evident EMT. These findings shed light on the complex interplay between matrix composition and stiffness in EMT, underscoring the utility of dECM-ALG hydrogels as a valuable in vitro platform for cancer research.

Fermi Rubik’s Cube in High-pressure Induced Chlorine-riched Compounds

Abstract In the quasi-free electron model, which is widely used in modern solid-state physics, the Fermi surface spreads into a sphere in the Brillouin zone, i.e., the Fermi Sphere. The Fermi Sphere exists widely in metal systems, no matter whether the crystal is in a body-center cubic, face-center cubic, or hexagonal close-packed lattice. Here, we report a class of compounds stabilized at high pressure with a Rubik's cubic Fermi surface, in which the representative example is P m-3n-CaCl3. Our quantum-mechanical variable- composition evolutionary simulations predicted the thermal stabilities of CaCl3, and the tight-binding model revealed its unique Fermi surface originates from the quasi-one- dimensional interaction, structural symmetric protection, and particle-hole symmetry breaking. Furthermore, by its flat and steep band structure, CaCl3 has a huge span of effective mass from 9.08×103 me (super-heavy) to 5.13×10-4 me on the Fermi level, which supplies an interesting platform for quasiparticle research.

Establishment of a reverse genetics system for virulent systemic feline calicivirus using circular polymerase extension reaction

SummaryFeline caliciviruses can cause oral and upper respiratory tract infections in cats. However, a virulent and systemic feline calicivirus (VS-FCV) variant implicated in multisystem lesions and death in cats has emerged recently. To date, the mechanism underlying virulence variations in VS-FCV remains unclear. The aim of the present study was to provide a tool for exploring genetic variation in VS-FCV, by constructing an infectious clone of VS-FCV SH/2014. First, a full-length cDNA molecular clone of VS-FCV SH/2014 strain, which contains an Xba I recognition site generated by mutating one base (A→T) as a genetic marker, was constructed using the circular polymerase extension reaction (CPER) method. Second, the full-length cDNA clone was introduced into Crandell-Rees feline kidney cells using liposomes to rescue recombinant VS-FCV SH/2014 (rVS-FCV SH/2014). Third, the rescued viruses were identified by real-time PCR, immunofluorescence assay, western blotting, and electron microscopy. The full-length cDNA molecular clone of the VS-FCV SH/2014 strain was successfully constructed and that rVS-FCV SH/2014 could be rescued efficiently. rVS-FCV SH/2014 had the expected genetic markers and morphology and growth characteristics similar to those of the parental virus. The reverse genetics system provides a research platform for future studies on VS-FCV genetic variation and pathogenesis.

Introduction to the Debate on Pioneers of Capitalism

On 30 June 2023, the Centre for Urban History at the University of Antwerp, the Posthumus Institute, and the Antwerp Interdisciplinary Platform for Research into Inequality hosted a workshop dedicated to Pioneers of Capitalism. The Netherlands 1000-1800, a book by Maarten Prak and Jan Luiten van Zanden published by Princeton University Press in 2022. Participants in the workshop were challenged to reflect on the broader geographical applicability of the ‘coordinated market’ variety of capitalism that Prak and Van Zanden see emerging in the Dutch Republic after the Fall of Antwerp in 1585. Both during the workshop and in this special issue, the participants engaged in a lively, stimulating discussion with the authors of Pioneers in Capitalism.

Conquerors of poverty – a case study of Colombo slum dwellers

PurposeWhile extensive research has explored poverty in various dimensions, there remains a notable dearth of studies focusing on success stories of slum dwellers overcoming adversity. This research seeks to address this gap by investigating the strategies employed by individuals to transcend poverty. Moreover, it evaluates the practicality and effectiveness of existing theories in real-world contexts through careful interpretation.Design/methodology/approachData were gathered from two distinct cases through comprehensive, in-depth interviews. These narratives were subjected to scrutiny employing the Description Analysis Interpretation method. Subsequent interpretation and theoretical exploration were guided by Bourdieu’s class theory. The overarching goal was to shed light on the remarkable journeys of specific slum residents who surpassed the constraints of poverty. This endeavor not only highlighted the practical efficacy of these theories but also underscored their relevance in illuminating real-world scenarios through interpretation.FindingsThe findings underscore the capacity of slum dwellers to rise above poverty, thereby emphasizing the practical utility of specific theories aimed at poverty alleviation in elucidating their experiences. Notably, social capital, a cornerstone of Bourdieu’s class theory, emerges as equally pivotal as economic capital in shaping individuals' trajectories.Research limitations/implicationsThe study’s scope is confined to narratives within the Colombo slums, offering a platform for future researchers to extend their investigations beyond this context. By employing alternative methodologies and exploring diverse geographical regions, scholars can broaden their understanding of poverty alleviation strategies and their applicability across varied socioeconomic landscapes. This calls for wider research for comprehensive exploration and comprehension of poverty dynamics beyond singular locales.Practical implicationsThe study provides invaluable insights for policymakers, governmental bodies and nongovernmental organizations, urging them to reconsider and reformulate policies, educational strategies and community development programs tailored to the needs of slum dwellers and their children. These insights offer a pathway toward more effective interventions aimed at fostering sustainable upliftment within these marginalized communities.Originality/valueThis research fills a critical gap in poverty literature by exploring success stories of slum dwellers overcoming adversity, an area often overlooked. It uniquely investigates the strategies these individuals employ to transcend poverty, offering fresh insights into the practical application of poverty alleviation theories. Utilizing Bourdieu’s class theory, the study highlights the importance of both social and economic capital in these success narratives. By focusing on real-life experiences, it underscores the relevance and utility of these theories in real-world contexts, enriching the theoretical discourse and providing valuable perspectives for policymakers and practitioners.

Promoting Collaborative Scholarship During the COVID-19 Pandemic Through an Innovative COVID-19 Data Explorer and Repository at Yale School of Medicine: Development and Usability Study.

The COVID-19 pandemic sparked a surge of research publications spanning epidemiology, basic science, and clinical science. Thanks to the digital revolution, large data sets are now accessible, which also enables real-time epidemic tracking. However, despite this, academic faculty and their trainees have been struggling to access comprehensive clinical data. To tackle this issue, we have devised a clinical data repository that streamlines research processes and promotes interdisciplinary collaboration. This study aimed to present an easily accessible up-to-date database that promotes access to local COVID-19 clinical data, thereby increasing efficiency, streamlining, and democratizing the research enterprise. By providing a robust database, a broad range of researchers (faculty and trainees) and clinicians from different areas of medicine are encouraged to explore and collaborate on novel clinically relevant research questions. A research platform, called the Yale Department of Medicine COVID-19 Explorer and Repository (DOM-CovX), was constructed to house cleaned, highly granular, deidentified, and continually updated data from over 18,000 patients hospitalized with COVID-19 from January 2020 to January 2023, across the Yale New Haven Health System. Data across several key domains were extracted including demographics, past medical history, laboratory values during hospitalization, vital signs, medications, imaging, procedures, and outcomes. Given the time-varying nature of several data domains, summary statistics were constructed to limit the computational size of the database and provide a reasonable data file that the broader research community could use for basic statistical analyses. The initiative also included a front-end user interface, the DOM-CovX Explorer, for simple data visualization of aggregate data. The detailed clinical data sets were made available for researchers after a review board process. As of January 2023, the DOM-CovX Explorer has received 38 requests from different groups of scientists at Yale and the repository has expanded research capability to a diverse group of stakeholders including clinical and research-based faculty and trainees within 15 different surgical and nonsurgical specialties. A dedicated DOM-CovX team guides access and use of the database, which has enhanced interdepartmental collaborations, resulting in the publication of 16 peer-reviewed papers, 2 projects available in preprint servers, and 8 presentations in scientific conferences. Currently, the DOM-CovX Explorer continues to expand and improve its interface. The repository includes up to 3997 variables across 7 different clinical domains, with continued growth in response to researchers' requests and data availability. The DOM-CovX Data Explorer and Repository is a user-friendly tool for analyzing data and accessing a consistently updated, standardized, and large-scale database. Its innovative approach fosters collaboration, diversity of scholarly pursuits, and expands medical education. In addition, it can be applied to other diseases beyond COVID-19.

Revolutionizing Drug Discovery: The Impact of Distinct Designs and Biosensor Integration in Microfluidics-Based Organ-on-a-Chip Technology.

Traditional drug development is a long and expensive process with high rates of failure. This has prompted the pharmaceutical industry to seek more efficient drug development frameworks, driving the emergence of organ-on-a-chip (OOC) based on microfluidic technologies. Unlike traditional animal experiments, OOC systems provide a more accurate simulation of human organ microenvironments and physiological responses, therefore offering a cost-effective and efficient platform for biomedical research, particularly in the development of new medicines. Additionally, OOC systems enable quick and real-time analysis, high-throughput experimentation, and automation. These advantages have shown significant promise in enhancing the drug development process. The success of an OOC system hinges on the integration of specific designs, manufacturing techniques, and biosensors to meet the need for integrated multiparameter datasets. This review focuses on the manufacturing, design, sensing systems, and applications of OOC systems, highlighting their design and sensing capabilities, as well as the technical challenges they currently face.

Preface

We are pleased to present the proceedings of the International Conference on Electronics, Communications, and Intelligent Science (ECIS 2024), held in Changsha, China, from May 24th to 27th, 2024. This conference serves as a platform for academics, researchers, and practitioners to discuss the latest advancements in electronics, communications, and intelligent science. We extend our heartfelt thanks to our guest editors, Professor Yang Yue from Xi’an Jiaotong University and Professor Guan Gui from Nanjing University of Posts and Telecommunications, for their invaluable contributions and work in ensuring the high quality of this publication. Their expertise has been crucial in selecting the research papers presented in this conference. Our gratitude also goes to the Xi’an Jiaotong University, whose support has been instrumental in the successful organization of ECIS 2024. Additionally, we acknowledge the distinguished speakers who have graciously shared their knowledge and insights: Professor Mohammad S. Obaidat, Life Fellow of IEEE, who delivered an enlightening keynote on a new learning automata-based controller placement technique for software-defined network systems; Professor Yang Yue, who discussed high-speed optical communications; Professor Guan Gui, who explored ubiquitous sensing and intelligent identification for 6G wireless communications; and Professor Lei Lei from Nanjing University of Aeronautics and Astronautics, who presented his research on intelligent cooperation theory of unmanned aerial vehicular swarms based on digital twins. We also express our appreciation to the workshop chairs and members, who represent various prestigious institutions, for their efforts in facilitating specialized sessions. Their participation highlights the diversity and richness of the discussions at ECIS 2024. Finally, we thank all the attendees, authors, and reviewers whose active participation and contributions have made this conference a success. We hope that the knowledge shared and the collaborations formed here will continue to drive forward innovations in electronics, communications, and intelligent science. We look forward to your continued engagement in future editions of the conference. The Conference Committee ECIS 2024 List of Conference Committees are available in this Pdf.