Current State Of Research Research Articles

Research Progress on Intelligent Control Heading Machine

Background: With the development of society, the demand for underground works, such as to control road traffic and enhance the development of mineral resources, is increasing. Simple human and mechanical resources can no longer meet people's needs. Therefore, the development of the heading machine has advanced the construction of underground engineering and the development of mineral resources, leading to a significant change in tunneling efficiency. However, the increase in the scale of engineering facilities, changes in geological conditions, the reduction in human resources, and other factors, accompanied by the arrival of the era of big data, have prompted the heading machine to become more and more efficient, advanced, and intelligent. Objective: This article aimed to describe the classification, characteristics, and development of existing heading machines. It also takes into account the impact of changing engineering facilities, geological conditions, and limited human resources. The research and development direction of the equipment in intelligent perception, intelligent construction, and safety management is proposed. Methods: In this study, the working principle and related patents of the heading machine have been summarized. The structural characteristics, differences, and application characteristics of the heading machines in different fields are introduced, and the limitations of previous methods have been analyzed. Results: By analyzing and comparing the existing heading machines and summarizing their typical features, the main problems in the development of heading machines have been analyzed and the development trend of heading machines is predicted. Finally, the current research status and future development trends of heading machines and their patents are discussed. Conclusion: The heading machines are divided into two types based on the operation object: tunnel boring machine and ordinary heading machine. Among these, the full-face heading machine is the most widely used, and heading machines with different working faces are the most typical among ordinary heading machines. Currently, the application of intelligence in heading machines has gained widespread traction both domestically and internationally. The future development direction of heading machines must focus on intelligence, ensuring safety and efficiency, lightweight design, and environmental sustainability.

The Use of Lipid-based Nanocarriers to Improve Ovarian Cancer Treatment: An Overview of Recent Developments.

Ovarian cancer poses a formidable health challenge for women globally, necessitating innovative therapeutic approaches. This review provides a succinct summary of the current research status on lipid-based nanocarriers in the context of ovarian cancer treatment. Lipid-based nanocarriers, including liposomes, solid lipid nanoparticles (SLNs), and nanostructured lipid carriers (NLCs), offer a promising solution for delivering anticancer drugs with enhanced therapeutic effectiveness and reduced adverse effects. Their versatility in transporting both hydrophobic and hydrophilic medications makes them well-suited for a diverse range of anticancer drugs. Active targeting techniques like ligand-conjugation and surface modifications have been used to reduce off-target effects and achieve tumour-specific medication delivery. The study explores formulation techniques and adjustments meant to enhance drug stability and encapsulation in these nanocarriers. Encouraging results from clinical trials and preclinical investigations underscore the promise of lipid-based nanocarriers in ovarian cancer treatment, providing optimism for improved patient outcomes. Notwithstanding these advancements, challenges related to clearance, long-term stability, and scalable manufacturing persist. Successfully translating lipidbased nanocarriers into clinical practice requires addressing these hurdles. To sum up, lipidbased nanocarriers are a viable strategy to improve the effectiveness of therapy for ovarian cancer. With their more focused medication administration and lower systemic toxicity, they may completely change the way ovarian cancer is treated and increase patient survival rates. Lipidbased nanocarriers need to be further researched and developed to become a therapeutically viable treatment for ovarian cancer.

Lymph Node Metastasis of Head and Neck Cancer: A Bibliometric Analysis From 2000 to 2022.

Lymph node metastasis (LNM) is a significant prognostic factor in head and neck cancer (HNC) patients. To obtain a better understanding of the worldwide prevalence and current research status, the authors conducted a comprehensive bibliometric analysis of literature published from 2000 to 2022. The contributions of institutions, journals, countries or regions, cited literature, keywords, and authors in global publications were concisely summarized using the COOC and VosViewer software tools. The data were extracted from the expansive Web of Science database. A total of 5478 papers were collected for analysis, and the number of publications has exhibited exponential growth over the last 22 years. The United States emerged as the most productive country, closely followed by China. Noteworthy institutions for their high productivity include the Sloan-Kettering Cancer Center, Sun Yat-Sen University, and the University of Texas MD Anderson Cancer Center. The Head & Neck and Oral Oncology journals lead in terms of publication volume. The main areas of research in this field were prognostication, radiotherapy, survival rates, sentinel lymph node biopsy, and the human papillomavirus. In addition, the analysis of author collaboration networks yielded valuable insights into the collaborative relationships within this research domain. Our research has identified the primary characteristics of highly impactful studies on LNM in HNC, providing significant insights into the advancements made in this area of research.

A Review on Research of Prefabricated Building Costs: Exploring Collaborations, Intellectual Basis, and Research Trends

This analysis provides a comprehensive overview of current research regarding prefabricated construction costs, explained under three main categories: collaboration, intellectual basis, and research trends. The collaboration network covers country, institution, and journal distribution. Intellectual basis includes a cited journal, cited reference, and cited author, while research trends cover research category, keyword and keyword cluster analysis, and cited reference cluster. Through bibliometric analysis, we find that this field has garnered significant attention in the academic community and has developed rapidly. China dominates the field of prefabricated construction, with Curtin University, Chongqing University, and Deakin University being the leading research institutions, while Automation in Construction is the most cited journal. Although technology integration is widely regarded as a key means of cost optimization, its high implementation costs and complexity have limited its widespread application. The challenges of technology integration lie in the need to address high capital costs, complex management practices, and the demand for advanced technology integration, which have become significant barriers to the promotion of prefabricated construction. Moreover, current research also focuses on how to enhance risk control and management practices in cost management to promote sustainable development. Future research will focus on green and sustainable technologies, multidisciplinary engineering, energy and fuel, construction technologies to optimize prefabricated construction techniques, advance low-carbon building practices, and improve decision analysis and risk management. The key factors influencing costs include technological factor, policy factors, market and environmental factors, and organizational management. By systematically controlling these factors, cost pressures can be effectively alleviated, construction efficiency improved, and the sustainability of prefabricated buildings enhanced. This study not only provides a comprehensive analysis of the current state and trends in research on the costs of prefabricated construction but also highlights the critical role of technological innovation, policy optimization, and interdisciplinary collaboration in promoting the sustainable development of prefabricated construction globally.

Bipolarity and Antitropicality in Marine Taxa: Understanding the Complexities of Latitudinal Distribution

ABSTRACTAimThis systematic review aims to analyse the current status of research on marine bipolar and antitropical distribution patterns by exploring temporal trends, studied taxa, inconsistencies in definitions and the extent of molecular evidence in bipolar and antitropical species.LocationGlobal marine environments, with a special focus on Polar Regions.Time Period1800s to 2024.Major Taxa StudiedMarine taxa across all phyla, ranging from algae and zooplankton groups to fish and cetaceans.MethodsA systematic literature search was conducted using Scopus, PubMed and Google Scholar databases. Studies were screened for relevant publications of marine taxa displaying bipolar or antitropical distributions, and data were extracted in order to perform a numerical summary of aspects including temporal trends, taxa representation and agreement with this article's standardised definitions. Additional data were gathered from The Arctic Register of Marine Species (ARMS) and The Register of Antarctic Marine Species (RAMS) databases. Distribution data were then extracted to verify the potential bipolarity of species present in both databases.ResultsFrom 221 articles, 665 marine taxa records were extracted, of which 517 records were categorised as antitropical and 148 as bipolar. Molecular evidence existed for 25% of non‐paleontological records. A considerable amount of records (44%) did not match the definitions used in this review. The data taken from ARMS and RAMS revealed 408 shared species, of which 41 species were listed as bipolar by the literature collected in this study.Main ConclusionsMarine bipolarity and antitropicality have been topics of interest since the 1800s, especially between 2008 and 2017. However, the discrepancy between the number of potentially bipolar species in publicly available species databases and literature‐based estimates underscores the need for further research of neglected taxa. Future research should prioritise including molecular evidence, transparent terminology and interdisciplinary approaches to address the complexities of marine disjunct distributions.

A Review of Value Realization and Rural Revitalization of Eco-Products: Insights for Agroforestry Ecosystem in Karst Desertification Control

Amid global rural decline, the main approach to rural revitalization (RR) is to transform rural ecological resources into development advantages by means of ecological product value realization (EPVR). The fragility of the karst ecological environment limits the development of the karst countryside, and agroforestry is an important way to achieve the ecological protection and economic development of the karst countryside. At present, research on EPVR and RR is rapidly developing. Although there is an increasing number of publications on EPVR and RR separately, the literature on their comprehensive analysis is lacking, and how the karst agroforestry ecosystem can be improved is unclear. The objective of this is to provide an overview of the current research status and challenges of EPVR and RR in order to optimize agroforestry ecosystems in karst desertification control (KDC). This paper systematically analyzed 263 relevant articles on EPVR and RR, and the results are as follows: (1) The number of studies increased exponentially after 2017. The research has primarily focused on the relationship between EPVR and RR, as well as the EPVR and the formation mechanisms of the eco-industry and value accounting of eco-products, which account for 95.53% of the total literature. China has published the most research in this area. At the intercontinental scale, this research is mainly concentrated in East Asia, Europe, and North America. (2) The main progress and landmark achievements in the research on EPVR and RR are summarized. Four key scientific questions that need to be addressed in the future are presented. (3) The above information highlights the three key areas for improving the agroforestry ecosystem in karst desertification control (KDC): the value accounting of eco-products, EPVR, and RR. This study found that EPVR and RR can improve the karst agroforestry ecosystem and further promote rural development, providing significant insights for the overall revitalization of rural areas worldwide and the scientific control of karst desertification.

Scientific landscape of oxidative stress in sarcopenia: from bibliometric analysis to hotspots review

ObjectiveSarcopenia is a significant healthcare challenge in the aging population. Oxidative stress (OS) is acknowledged to play a pivotal role in the pathological progression of sarcopenia. Numerous studies have demonstrated that mitigating or eliminating OS can ameliorate the pathological manifestations associated with sarcopenia. However, current clinical antioxidant therapies often fall short of anticipated outcomes. This bibliometric analysis aims to delineate prevailing research trends, thematic emphases, focal points, and developmental trajectories within the domain of OS in sarcopenia, while also endeavoring to explore prospective anti-oxidative stress strategies for future clinical interventions.MethodsRelevant publications were retrieved from the Web of Science (WOS) Core Collection database for the period 2000-2024. Citespace was employed for retrieving and analyzing trends and emerging topics.ResultsIn the field of OS in sarcopenia, the number of publications has significantly increased from 2000 to 2024. The United States and China are the primary contributors to global publication output. The most productive research institution is INRAE. The most prolific author is Holly Van Remmen from the United States, while the most frequently cited author is Cruz-Jentoft AJ from Spain. Experimental Gerontology is the journal with the highest volume of published articles, whereas the Journal of Gerontology Series A: Biological Sciences and Medical Sciences holds the record for the highest number of citations. The research keywords in this field can be categorized into eight domains: “Physiology and anatomy”, “Physiological mechanisms”, “Pathology associations”, “Experimental studies”, “Nutrition and metabolism”, “Sports and physical activities”, “Age” and “Oxidation and antioxidation”. Moreover, recent years have seen the emergence of “TNF-α,” “insulin resistance”, “mitochondrial autophagy”, “signal pathways”, and “mechanisms” as focal points in the realm of OS in sarcopenia, encompassing related fundamental research and clinical translation.ConclusionThis bibliometric and visualization provides a comprehensive analysis of the global research landscape in the field of OS in sarcopenia, identifies priorities, summarizes the current research status and suggests possible future research priorities. In addition, in order to benefit more sarcopenia patients, strengthening cooperation and communication between institutions and research teams is the key to the future development of this field. Given the expectation that research on OS in sarcopenia will remain a prominent area of interest in the future, this article could serve as a valuable resource for scholars seeking to shape future studies through an understanding of influential scholarly contributions and key research findings.Systematic review registrationhttps://www.crd.york.ac.uk, identifier CRD42024528628.

Research on the Current Situation and Sustainable Development Measures for Urban–Rural Water Supply Integration in Yunnan Province, China

Urban–Rural Water supply integration is one of the effective ways to address rural drinking water safety issues. With the rapid economic development and urbanization, the gap between urban and rural water supply has become increasingly evident, and rural areas face severe challenges such as insufficient water sources and substandard water quality. Yunnan Province, due to its unique topography and natural environment, encounters numerous difficulties in promoting the construction and development of urban–rural water supply integration, and there is a severe lack of research specifically focused on sustainable development measures for urban–rural water supply integration in Yunnan Province. In light of this, this paper first reviews the current research status on urban–rural water supply integration both domestically and internationally, pointing out that existing studies mainly focus on optimizing urban water supply systems, addressing rural drinking water safety issues, and exploring water supply management models. It then analyzes the challenges faced by Yunnan Province in advancing urban–rural water supply integration, including limitations in engineering construction, inadequate operation and maintenance, complex and variable water source conditions, and insufficient public awareness of water conservation. In response to these issues, a series of sustainable development measures are proposed, including revitalizing existing assets, enhancing construction planning and quality, promoting water pricing reforms, upgrading the technical system for drinking water safety assurance, and advancing the information technology construction of urban–rural water supply integration, with the aim of providing references and insights for the sustainable development of urban–rural water supply integration in Yunnan Province and other regions.

A review of finite control set model predictive control for linear machines

AbstractLinear machines (LMs) have become excellent candidates for linear motion applications due to their abilities of generating thrust without any transmissions, and have been widely adopted in transportation, industries etc. Among the numerous control methods of LM drive systems, finite control set model predictive control (FCS‐MPC) method has been given special attention due to its clear concept, fast response performance, and ability to handle constrained multivariate non‐linear control problems. It is widely used to improve the performance and efficiency of overall LM drive systems. Firstly, based on the three elements of FCS‐MPC, the advantages and shortcomings of the FCS‐MPC method in applications are fully investigated. The research status in FCS‐MPC has been summarised, such as multistep MPC, parameters robustness improvement, fast optimisation, and multi‐vector MPC. Then, the key issues in FCS‐MPC such as delay compensation, parameters design, and stability analysis are discussed, and their typical research methods and current research status are explained. Finally, the future development trends of FCS‐MPC in LM drive systems are discussed.

Assessing the Impact of Anthropogenic CO2 on Marine Carbonate Chemistry: Trends, Implications, and Future Implications of Ocean Acidification

Abstract. This paper investigates the impact of human-caused CO2 emissions on marine carbonate chemistry, with particular attention being given to current trends and implications of ocean acidification as well as projected future projections for its effects. The study provides insight into the chemical processes underlying ocean acidification, its historical and modern progressions, as well as its biological impacts on organisms such as corals, mollusks and plankton. Furthermore, this report assesses the larger implications for marine ecosystems and fisheries as well as valuing ecosystem services that have been negatively impacted by acidification. Methodical approaches, including in situ observations, laboratory experiments and predictive modeling are discussed here to illustrate the current status of research. This paper also considers mitigation and adaptation strategies such as carbon capture and storage, enhancing ecosystem resilience enhancement measures and international policy measures as mitigation and adaptation strategies. By drawing together findings from diverse disciplines, this study seeks to identify research gaps as well as prioritize areas for further investigation, stressing the importance of joint efforts against ocean acidification.

Technological State and Optimization Analysis of High-Rise Glass Curtain Wall Cleaning Robots

Abstract. With the proliferation of high-rise buildings in urban areas, glass curtain walls are widely used due to their excellent light transmittance and modern appearance. However, these glass curtain walls are prone to accumulating dust, rain stains, and other dirt during use, affecting their aesthetics and transparency, thus requiring regular cleaning. Traditional manual cleaning methods are inefficient and pose significant safety risks. Consequently, high-rise glass curtain wall cleaning robot technology has become a research hotspot. This paper reviews the current research status of high-rise glass curtain wall cleaning robots, which provides a detailed analysis of four main adhesion methods (magnetic adhesion, thrust adhesion, vacuum negative pressure adhesion, and bionic adhesion), four main motion modes (legged, wheeled, tracked, and external assistance), and two main cleaning methods (physical and chemical). For path planning, this paper explores the application status and challenges of regular scanning, random walking, sensor feedback dynamic planning, and bionic path planning. Through the evaluation of the advantages and disadvantages of existing technologies, this paper identifies the main issues faced by each technology and proposes optimization strategies for adhesion technology, motion modes, cleaning efficiency, and path planning. Future directions include improvements in intelligence and automation, multifunctional integration, energy efficiency enhancement, and human-machine collaboration. This paper aims to provide a comprehensive technological review and constructive suggestions to advance high-rise glass curtain wall cleaning robot technology.

A Review of Current Research and Future Development of Autonomous Driving Technology

Abstract: At present, the automobile industry is undergoing a new round of technological revolution, and autonomous driving technology is also experiencing a period of rapid development, with very active research and technology iteration. Autonomous driving can prevent accidents that occur due to human errors such as inattentiveness and driver fatigue, thereby enhancing road safety. Additionally, autonomous technology helps alleviate traffic congestion and optimize flow by utilizing coordinated driving strategies, such as vehicle-to-vehicle communication (V2V) and vehicle-to-infrastructure communication (V2I), enabling platooning, intelligent rerouting, and other advanced driving techniques. The autonomous driving system can control the vehicle according to the optimal driving strategy, can drive the vehicle in a smoother way, optimize fuel consumption or power use, thereby reducing operating costs and improving travel experience, and has a wide range of application potential and potential social value. This paper summarizes the current research status and development trend of autonomous driving technology, summarizes the current research status of autonomous driving technology from the aspects of environmental perception, machine learning, control execution, etc., while also projecting future directions for the field. Advancements in this technology have the potential to revolutionize transportation, offering significant convenience and transforming daily life. Moreover, it can promote the development of major industries, increase national GDP, affect urban planning and layout, and even improve our living environment and benefit ecological construction.

The Role of Nanoporous Adsorbents in the Circular Economy—Closing the Loop of Critical Materials Recovery

AbstractDue to the increase in the global population, industrialization, and the transition to climate neutrality through low‐emission technologies, the pressure on critical materials (CMs) continues to grow. CMs are defined as materials with a significant risk of supply chain disruption and limited substitutability. In this context, rare‐earth elements, platinum group metals, lithium, and cobalt are particularly crucial for the shift to carbon‐free economy and sustainability. One of the important strategies to endorse the goal of carbon reduction is to promote the recycling of resources. As a solution, effective recovery strategies have been developed, such as solid‐phase separation technologies based on advanced functional sorbents. This perspective article aims to provide a general assessment of the role of porous materials in closing the loop of critical materials recycling. Here, comprehensive insights are provided into recent development, design, and application of porous adsorbents commonly applied in solid‐phase extraction systems. Their current research status and problems related to their future application are also highlighted. This review covers recent advances in porous and hierarchical silica‐based materials, aerogels, covalent organic frameworks, metal–organic frameworks, and carbon‐based adsorbents.

Research Progress on Solid-State Electrolytes in Solid-State Lithium Batteries: Classification, Ionic Conductive Mechanism, Interfacial Challenges

Solid-state lithium batteries exhibit high-energy density and exceptional safety performance, thereby enabling an extended driving range for electric vehicles in the future. Solid-state electrolytes (SSEs) are the key materials in solid-state batteries that guarantee the safety performance of the battery. This review assesses the research progress on solid-state electrolytes, including polymers, inorganic compounds (oxides, sulfides, halides), and organic–inorganic composites, the challenges related to solid-state batteries in terms of their interfaces, and the status of industrialization research on solid-state electrolytes. For each kind of solid-state electrolytes, details on the preparation, properties, composition, ionic conductivity, ionic migration mechanism, and structure–activity relationship, are collected. For the challenges faced by solid-state batteries, the high interfacial resistance, the side reactions between solid-state electrolytes and electrodes, and interface instability, are mainly discussed. The current industrialization research status of various solid electrolytes is analyzed in regard to relevant enterprises from different countries. Finally, the potential development directions and prospects of high-energy density solid-state batteries are discussed. This review provides a comprehensive reference for SSE researchers and paves the way for innovative advancements in regard to solid-state lithium batteries.

High-Yield-Related Genes Participate in Mushroom Production

In recent years, the increasing global demand for mushrooms has made the enhancement of mushroom yield a focal point of research. Currently, the primary methods for developing high-yield mushroom varieties include mutation- and hybridization-based breeding. However, due to the long breeding cycles and low predictability associated with these approaches, they no longer meet the demands for high-yield and high-quality varieties in the expansive mushroom market. Modern molecular biology technologies such as RNA interference (RNAi) and gene editing, including via CRISPR-Cas9, can be used to precisely modify target genes, providing a new solution for mushroom breeding. The high-yield genes of mushrooms can be divided into four categories based on existing research results: the genes controlling mycelial growth are very suitable for genetic modification; the genes controlling primordium formation are directly or indirectly regulated by the genes controlling mycelial growth; the genes controlling button germination are more difficult to modify; and the genes controlling fruiting body development can be regulated during the mycelial stage. This article reviews the current research status for the four major categories of high-yield-related genes across the different stages of mushroom growth stages, providing a foundation and scientific basis for using molecular biology to improve mushroom yield and promote the economic development of the global edible-mushroom industry.

The impact of diabetes mellitus on tendon pathology: a review

Diabetes is one of the most common metabolic diseases worldwide, leading to complications, mortality, and significant healthcare expenditures, which impose a substantial social and financial burden globally. A diabetic environment can induce metabolic changes, negatively affecting tendon homeostasis, leading to alterations in biomechanical properties and histopathology. Numerous studies have investigated the mechanisms through which diabetes exerts pathological effects on tendons, including increased free radical production, oxidative stress, inflammatory responses, deposition of advanced glycation end products (AGEs), and microvascular changes. These metabolic changes damages tendon structure, biomechanics, and tendon repair processes. The proliferation of tendon stem cells decreases, apoptosis increases, and abnormal differentiation, along with abnormal expression of myofibroblasts, ultimately lead to insufficient tendon repair, fibrosis, and remodeling. Although researches unveiling the effects of diabetes on tendinopathy, fibrosis or contracture, and tendon injury healing are growing, systematic understanding is still lacking. Therefore, this review summarizes the current research status and provides a comprehensive overview, offering theoretical guidance for future in-depth exploration of the impact of diabetes on tendons and the development of treatments for diabetes-related tendon diseases.

A bibliometric analysis from 2014 to 2024 reveals research hotspots and trends in the immunotherapy for glomerulonephritis

ABSTRACT This study aimed to present an overview of the current status of research and important discoveries about immunotherapy for glomerulonephritis in general using bibliometric analysis. We collected the literature on immunotherapy for glomerulonephritis from the Web of Science (WOS) database for the last 10 years (2014–2024), and we assessed the mapping of knowledge using Citespace. The findings demonstrated that there were 258 articles concerning the immunotherapy for glomerulonephritis, with a faster growth after 2018. The USA, Charite Universitatsmedizin Berlin, and Anders, Hans-Joachim are the nation, organization, and writer with the highest number of publications. The most often cited reference is Rovin BH (2021) as well (5). The best partnerships are formed by prestigious universities and developed countries for glomerulonephritis research on immunotherapy. Three research hotspots in this area are rituximab, adjuvant, and antibody production erythematosus, respectively.

Thiazolopyrimidinium systems with a quaternized nitrogen atom as promising anticancer agents

Thiazolopyrimidinium systems with a quaternized nitrogen atom are attracting increasing attention in the development of new anticancer drugs. Their unique chemical structure and potential biological properties make them promising candidates for the development of effective drugs. In recent years, researches have shown that these compounds have significant activity against various types of tumors due to their ability to interact with cellular targets, disrupting processes critical for the survival and proliferation of tumor cells. This review examines the current state of researches on thiazolopyrimidines, including synthesis, mechanisms of action, and evaluation of their antitumor potential, with an emphasis on the importance of the quaternized nitrogen atom in their biological activity.

Corrigendum to: Current Status of Patent Research on Picking End Effector

An error appeared in the citation of Tables 2 and 3 in the manuscript titled “Current Status of Patent Research on Picking End Effector”, 2024; 18(6): e190523217074 [1]. <p> Original: <p> Li [69] developed a self-triggering apple picking and collecting machine, which consists of five parts: a selftriggering gripper, a telescopic adjustment device, a rotary turntable, a collecting device, and a floor car. The gripper part innovatively adopts a selftriggering gripper design. The invention solves the problem of low apple-picking efficiency and causes less damage to apples. <p> Wang et al. [78] invented an end effector suitable for gripping spherical fruits. The fingers of the bionic human form an effective gripping space through the upper gripping finger, the lower gripping finger, and the auxiliary gripping finger, providing reliable gripping performance. This leads to the avoidance of mechanical damage to the fruit. This device has been found to improve fruit sorting efficiency and reduce labor, but its applicability is not wide enough. <p> Corrected: <p> Li [69] developed a self-triggering apple picking and collecting machine, which consists of five parts: a selftriggering gripper, a telescopic adjustment device, a rotary turntable, a collecting device, and a floor car. The gripper part innovatively adopts a selftriggering gripper design. The invention solves the problem of low apple-picking efficiency and causes less damage to apples (Table 2). <p> Wang et al. [78] invented an end effector suitable for gripping spherical fruits. The fingers of the bionic human form an effective gripping space through the upper gripping finger, the lower gripping finger, and the auxiliary gripping finger, providing reliable gripping performance. This leads to the avoidance of mechanical damage to the fruit. This device has been found to improve fruit sorting efficiency and reduce labor, but its applicability is not wide enough (Table 3). <p> The original article can be found online at https://www.eurekaselect.com/article/131925

Current research status and progress in neuropsychological development of children with congenital heart disease: A review.

Children with congenital heart disease (CHD) are receiving widespread attention for their neuropsychological developmental issues, which include cognitive, adaptive, motor, speech, behavioral, and executive functioning deficits as well as autism spectrum disorders. Timely identification of risk factors influencing neuropsychological development and implementation of appropriate interventions are crucial for enhancing the neuropsychological outcomes of children with CHD, ultimately benefiting the children, their families, and society as a whole. This comprehensive review article aimed to explore the epidemiology, risk factors, assessment methods, and monitoring strategies of neuropsychological development in children with CHD. By providing a detailed examination of these factors, this review serves as a valuable resource for researchers and practitioners in the field, facilitating deeper understanding and more effective management of neuropsychological issues in this vulnerable population.