is to determine the influence of psychological mood on the performance and mental health of athletes during VR training. The study involved representatives of both men's and women's basketball teams ...from universities in China (62 girls and 65 boys, whose average age was 18.2). The participants were divided into 2 groups. Both groups trained regularly, except the experimental group used VR technology, while the control group did not. To study the physical performance of respondents, a complex psychophysiological test was used. The Warwick-Edinburgh Mental Well-Being Scale (WEMWBS) was used to assess the psychological mood and mental health of respondents. The VR training has been proven to increase the psychological attitude of basketball players during the training. Specifically, it has a positive effect on the psychophysiological performance indicators and mental health of athletes.
will be aimed at a comparative study of the impact of VR technology in the training process on the results of basketball players and representatives of other team sports.
Aqueous zinc‐ion batteries have rapidly developed recently as promising energy storage devices in large‐scale energy storage systems owing to their low cost and high safety. Research on suppressing ...zinc dendrite growth has meanwhile attracted widespread attention to improve the lifespan and reversibility of batteries. Herein, design methods for dendrite‐free zinc anodes and their internal mechanisms are reviewed from the perspective of optimizing the host–zinc interface and the zinc–electrolyte interface. Furthermore, a design strategy is proposed to homogenize zinc deposition by regulating the interfacial electric field and ion distribution during zinc nucleation and growth. This Minireview can offer potential directions for the rational design of dendrite‐free zinc anodes employed in aqueous zinc‐ion batteries.
Electrons and ions: Aqueous zinc‐ion batteries are promising candidates for the next‐generation energy storage system. This Minireview summarizes the recent developments in the modification of the host–zinc and the zinc–electrolyte interfaces. Design strategies to fabricate dendrite‐free zinc anodes by optimizing the interfacial electron and ion distribution are discussed.
•We included 62 studies from 17 countries assessing psychological distress of COVID-19.•We found a high psychological burden among medical staff and the general public.•However, the psychological ...distress was significantly higher among patients.•We identified risk factors of psychological burdens to identify high-risk people.•Professional medical services should be allocated to high-risk population.•More self-help materials should be made available for people with milder impact.
The coronavirus disease 2019 (COVID-19) pandemic has caused enormous psychological impact worldwide. We conducted a systematic review and meta-analysis on the psychological and mental impact of COVID-19 among healthcare workers, the general population, and patients with higher COVID-19 risk published between 1 Nov 2019 to 25 May 2020. We conducted literature research using Embase, PubMed, Google scholar and WHO COVID-19 databases. Among the initial search of 9207 studies, 62 studies with 162,639 participants from 17 countries were included in the review. The pooled prevalence of anxiety and depression was 33% (95% confidence interval: 28%-38%) and 28% (23%-32%), respectively. The prevalence of anxiety and depression was the highest among patients with pre-existing conditions and COVID-19 infection (56% 39%-73% and 55% 48%-62%), and it was similar between healthcare workers and the general public. Studies from China, Italy, Turkey, Spain and Iran reported higher-than-pooled prevalence among healthcare workers and the general public. Common risk factors included being women, being nurses, having lower socioeconomic status, having high risks of contracting COVID-19, and social isolation. Protective factors included having sufficient medical resources, up-to-date and accurate information, and taking precautionary measures. In conclusion, psychological interventions targeting high-risk populations with heavy psychological distress are in urgent need.
Demand for energy in day to day life is increasing exponentially. However, existing energy storage technologies like lithium ion batteries cannot stand alone to fulfill future needs. In this regard, ...potassium ion batteries (KIBs) that utilize K ions in their charge storage mechanism have attracted considerable attention due to their unique properties and are therefore established as one of the future battery systems of interest among the scientific community. Nevertheless, the development and identification of appropriate electrode materials is very essential for practical applications. This review features the current development in KIBs electrode and electrolyte materials, the present challenges facing this technology (in the commercial aspect), and future aspects to develop fully functional KIBs. The potassium storage mechanisms, evolution of the KIBs, and the advantages and disadvantages of each category of materials are included. Additionally, various approaches to enhance the electrochemical performances of KIBs are also discussed. This review is not only an amalgamation of different viewpoints in literature, but also contains concise perspectives and strategies. Moreover, the potential emergence of a novel class of K‐based dual ion batteries is also analyzed for the first time.
The development and identification of appropriate electrode and electrolyte materials is very essential for practical potassium ion storage applications. Hence, an understanding of the current development in potassium‐based electrode and electrolyte materials and the present performance challenges is critical.
•Biomass-derived porous carbon is widely used for electrochemical energy storage.•Various activation methods and mechanisms of biomaterials are summarized.•Potential future development and challenges ...of biomass-derived are discussed.
In recent years, the recycling of low-cost and wide-source biomass has caused great concern. The obtained biomass-derived porous carbon (BDPC) is widely used as the electrode material of new energy storage device in the field of electrochemistry due to its unique properties such as large specific surface area, developed pore structure, acid and alkali resistance, excellent conductivity, and adjustable pore size. At the same time, efficient energy storage devices have been gradually developed and upgraded. Various hybrid supercapacitors (sodium ion, potassium ion, lithium ion, zinc ion, etc.) are widely used as new green energy equipment in hybrid power vehicles and portable electronic products. In this review, various activation methods and mechanisms are introduced in detail, and the application and research progress of biomaterials in electrochemical energy storage in the past three years are reviewed. The effects of different activation processing methods on the surface modification and micromachining of the obtained carbon materials on the electrochemical performance are briefly discussed. Finally, this paper summarizes the current research status of biomass-derived porous carbon in energy storage, potential future development directions and current challenges to promote the application of biomass-derived porous carbon materials in various fields, which provide useful insights for further development and utilization of biomass.
Intelligent robots play a crucial role in enhancing efficiency, reducing costs, and improving safety in the logistics industry. However, traditional path planning methods often struggle to adapt to ...dynamic environments, leading to issues such as collisions and conflicts. This study aims to address the challenges of path planning and control for logistics robots in complex environments.
The proposed method integrates information from different perception modalities to achieve more accurate path planning and obstacle avoidance control, thereby enhancing the autonomy and reliability of logistics robots. Firstly, a 3D convolutional neural network (CNN) is employed to learn the feature representation of objects in the environment for object recognition. Next, long short-term memory (LSTM) is used to model spatio-temporal features and predict the behavior and trajectory of dynamic obstacles. This enables the robot to accurately predict the future position of obstacles in complex environments, reducing collision risks. Finally, the Dijkstra algorithm is applied for path planning and control decisions to ensure the robot selects the optimal path in various scenarios.
Experimental results demonstrate the effectiveness of the proposed method in terms of path planning accuracy and obstacle avoidance performance. The method outperforms traditional approaches, showing significant improvements in both aspects.
The intelligent path planning and control scheme presented in this paper enhances the practicality of logistics robots in complex environments, thereby promoting efficiency and safety in the logistics industry.
Hydrogen and oxygen evolution reactions (HER and OER) are important for many electrochemical systems. Besides traditional noble-metal-based catalysts, carbon-based materials have been found to be ...effective for catalyzing these reactions. Various carbon structures doped with heteroatoms (N, S, P, B, and transition metals) and graphitic-layer-encapsulated metal and compound particles have shown good activities toward HER and OER at universal pHs. In this Perspective, recent research on the development of carbon-based electrocatalysts for HER and OER, as well as their challenges and opportunities are discussed.
The rapid growth in nuclear industries such as uranium ores mining, nuclear energy generation, spent-fuel treatment and nuclear weapon manufacture has caused a legacy of uranium contamination in the ...aquatic environment, which poses a potential threat to the ecological environment and human health. The safe and effective disposal of uranium-contaminated water has thus been an urgent requirement. For decades, various materials have been shown to be capable for removing uranium from aqueous solution by adsorption technique, namely inorganic materials (e.g., clay minerals, metal oxides, mesoporous silica), organic polymers (e.g., resins, cellulose, chitosan), carbon family materials (e.g., mesoporous carbon, carbon nanotubes, graphene oxides), and porous framework materials (e.g., covalent organic frameworks, metal-organic frameworks). In this review, we provide a systematic and comprehensive overview of the researches conducted from 2005 to 2018 for uranium removal from aqueous solution by these emerging materials. The different approaches in the determination of the adsorption mechanisms between uranium and adsorbents are also briefly summarized, involving macroscopic experimental approaches, microscopic spectroscopic and computational approaches. Finally, we discuss the current limitations and propose future research perspectives in hopes of inspiring more dramatic advancements in the material and environment remediation fields.
Recently, carbon fiber-reinforced polymers (CFRPs) are widely used in the transportation, aerospace, and chemical industries. In order to complete reliable connection with other materials, ...hole-making performance about CFRP must be systematically studied. While as the typical difficult-to-cut material, tool wear will be very serious in the CFRP cutting process, which will directly influence the change of cutting force, and the larger of the cutting force will lead to the occurrence and propagation of delamination of the holes. In this paper, to accurately predict cutting forces in helical milling of CFRP, a mechanistic cutting forces model considering the fiber cutting angle is established according to cutting principle of helical milling. Based on experimental data, cutting force coefficients are identified according to unidirectional CFRP using average-based method and fitted by response surface methodology (RSM). The results show that the new established force model with the cutting force coefficients can improve the accuracy of the cutting forces, thus achieving an accurate estimate of cutting forces in helical milling of carbon fiber-reinforced polymers.
Systemic immune-inflammation index (SII) has been suggested to be effective to reflect the inflammatory status and thus may be an underlying biomarker for prognosis prediction. This hypothesis has ...been demonstrated in meta-analyses on several cancer types. However, there was no study to confirm the prognostic roles of SII for gynecological and breast cancers, which was the goal of our study.
PubMed, EMBASE, and Cochrane Library databases were searched to collect the articles exploring the associations of SII with prognostic outcomes overall survival (OS), disease-free survival (DFS), progression-free survival (PFS), lymph node metastasis (LNM), and lymphovascular invasion (LVI) in gynecological and breast cancers. The prognostic value of SII was estimated by hazard ratio (HR) or relative risk (RR) with 95% confidence interval (CI).
Nine articles involving 2724 patients in 11 datasets were included. Meta-analysis showed that a high SII index was significantly associated with poor OS (HR = 2.12, 95% CI, 1.61-2.79, P < 0.001), DFS/PFS (HR = 2.28, 95% CI 1.52-3.41, P < 0.001) and an increased risk for LNM (RR = 1.34, 95% CI 1.20-1.50, P < 0.001) in patients with gynecological and breast cancers. Subgroup analysis confirmed the prognostic role of SII for OS was applicable to all cancer types, but the association with DFS/PFS and LNM was only significant for ovarian cancer and breast cancer, especially triple-negative breast cancer. No significant association was detected between SII and LVI.
High SII may be a promising indicator for the prediction of poor prognosis in patients with gynecological and breast cancers, especially ovarian cancer and triple-negative breast cancer.
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