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Potassium-ion batteries are a compelling technology for large scale energy storage due to their low-cost and good rate performance. However, the development of potassium-ion batteries remains in its infancy, mainly hindered by the lack of suitable cathode materials. Here we show that a previously known frustrated magnet, KFeC 2 O 4 F, could serve as a stable cathode for potassium ion storage, delivering a discharge capacity of ~112 mAh g −1 at 0.2 A g −1 and 94% capacity retention after 2000 cycles. The unprecedented cycling stability is attributed to the rigid framework and the presence of three channels that allow for minimized volume fluctuation when Fe 2+ /Fe 3+ redox reaction occurs. Further, pairing this KFeC 2 O 4 F cathode with a soft carbon anode yields a potassium-ion full cell with an energy density of ~235 Wh kg −1 , impressive rate performance and negligible capacity decay within 200 cycles. This work sheds light on the development of low-cost and high-performance K-based energy storage devices. The abundance and low cost of potassium makes potassium batteries a promising technology for large scale energy storage. Here the authors apply a previously known frustrated magnet, KFeC 2 O 4 F, as the cathode in which the unique structure and Fe 2+ /Fe 3+ redox enable excellent cycling stability.

Megaprojects necessitate collaborative innovation that transcends organizational, departmental, industrial, and regional boundaries, culminating in the formation of innovation networks. Utilizing data from the megaprojects awarded in the 1st to 19th Zhan Tianyou Awards as a foundation, this study employed social network analysis, Ucinet, and ArcGIS to construct both the collaborative innovation network of participating units in megaprojects and the collaborative innovation network of cities involved in megaprojects. The study analyzed the spatiotemporal evolution characteristics and core organizations within the collaborative innovation network of participating units in megaprojects, and discussed the core-periphery structure and spatiotemporal evolution of the collaborative innovation network among cities engaged in megaprojects. ArcGIS and Spass software were employed, along with a negative binomial gravity model, to investigate the role of multidimensional proximity in the construction of collaborative innovation networks among cities for the 1st-5th, 6th-10th, 11th-15th, and 16th-19th sessions of megaprojects. The key conclusions were as follows. (1) Participating units of the railway system occupy core positions in the collaborative innovation networks of participating units and hold absolute ‘power’ in the networks. (2) Nuclear cities in the city collaborative innovation networks appear to transfer from the eastern first-tier cities, Guangzhou and Shenzhen, to the eastern second-tier cities, Taiyuan, Jinan, Hefei, and the central-western second-tier city, Chengdu. (3) Geographical proximity, institutional proximity, cognitive proximity and social proximity all promote cities’ collaborative innovation in megaprojects. This study still has some limitations. First, this study only uses a single measure of proximity and does not measure it from multiple perspectives. Second, this study used the number of megaproject collaborations as the dependent variable, without considering the relationship between network structure and actual innovation outcomes or project performance.

The mechanism of phagophore closure remains unclear due to technical limitations in distinguishing unclosed and closed autophagosomal membranes. Here, we report the HaloTag-LC3 autophagosome completion assay that specifically detects phagophores, nascent autophagosomes, and mature autophagic structures. Using this assay, we identify the endosomal sorting complexes required for transport (ESCRT)-III component CHMP2A as a critical regulator of phagophore closure. During autophagy, CHMP2A translocates to the phagophore and regulates the separation of the inner and outer autophagosomal membranes to form double-membrane autophagosomes. Consistently, inhibition of the AAA-ATPase VPS4 activity impairs autophagosome completion. The ESCRT-mediated membrane abscission appears to be a critical step in forming functional autolysosomes by preventing mislocalization of lysosome-associated membrane glycoprotein 1 to the inner autophagosomal membrane. Collectively, our work reveals a function for the ESCRT machinery in the final step of autophagosome formation and provides a useful tool for quantitative analysis of autophagosome biogenesis and maturation. During autophagy, phagophores elongate to form double-membrane vesicles but the mechanism behind their closure is unknown. Here, the authors develop an autophagy assay and find a role for the endosomal sorting complexes required for transport component CHMP2A as a phagophore closure regulator.

The bioremediation of heavy metals contaminated soils with macrofungi is a new and promising approach; hence Agaricus bisporus (Large) sing has potentially shown accumulating ability to Cd contamination. This study focused on the tolerance response by A. bisporus to different contents of Cd in the closed cup and the flat stage of fruiting body development. The contents of Cd, soluble protein, sugar, low molecular weight organic acids (LMWOAs), and antioxidant activity were investigated. The bioaccumulation factor and transfer factor results revealed that Cd accumulated in the cap of A. bisporus more than that in the stipe with the highest content being 18.38 mg kg −1 dry weight at the closed cup stage under 414.28 mg kg −1 Cd stress. High Cd content stress increased soluble protein, proline, and malonaldehyde contents at both stages; while higher peroxidase, catalase, ascorbic acid peroxidase activities, and LMWOAs contents were only recorded at the closed cup stage. On the other hand, Superoxide dismutase activities and soluble sugar content showed a complex trend. Overall, these results have successfully established that A. bisporus could resort to modulating its metabolism to avoid the destructive effects of Cd stress and could successfully accumulate Cd in the soil, which is a promising prospect for the remediation of Cd-contaminated soils.

Various mobile technologies and digital health interventions (DHIs) have been developed for type 2 diabetes mellitus (T2DM) management. Strategies are crucial for ensuring the effectiveness of DHIs. However, there is currently a lack of categorization and summarization of the strategies used in DHIs for T2DM. This study aims to (1) identify and categorize the strategies used in DHIs for T2DM management; (2) assess the effectiveness of these DHI strategies; and (3) compare and rank the efficacy of different strategy combinations on glycated hemoglobin A (HbA ) levels, fasting blood glucose (FBG) levels, BMI, and weight loss. Relevant randomized controlled trials (RCTs) were extracted from PubMed, Web of Science, and Scopus databases. Three rounds of screening and selection were conducted. The strategies were identified and categorized based on the principles of behavior change techniques and behavior strategies. The synthesis framework for the assessment of health IT was used to structure the evaluation of the DHI strategies qualitatively. A network meta-analysis was performed to compare the efficacy of different strategy combinations. The data quality was assessed using the Cochrane Risk of Bias tool. A total of 52 RCTs were included, identifying 63 strategies categorized into 19 strategy themes. The most commonly used strategies were guide, monitor, management, and engagement. Most studies reported positive or mixed outcomes for most indicators based on the synthesis framework for the assessment of health IT. Research involving a medium or high number of strategies was found to be more effective than research involving a low number of strategies. Of 52 RCTs, 27 (52%) were included in the network meta-analysis. The strategy combination of communication, engagement, guide, and management was most effective in reducing HbA levels (mean difference [MD] -1.04, 95% CI -1.55 to -0.54), while the strategy combination of guide, management, and monitor was effective in reducing FBG levels (MD -0.96, 95% CI -1.86 to -0.06). The strategy combination of communication, engagement, goal setting, management, and support was most effective for BMI (MD -2.30, 95% CI -3.16 to -1.44) and weight management (MD -6.50, 95% CI -8.82 to -4.18). Several DHI strategy combinations were effective in reducing HbA levels, FBG levels, BMI, and weight in T2DM management. Health care professionals should be encouraged to apply these promising strategy combinations in DHIs during clinical care. Future research should further explore and optimize the design and implementation of strategies. PROSPERO CRD42024544629; https://tinyurl.com/3zp2znxt.

Background The intricate association between nutrition and osteoporosis has garnered increasing attention, and approximately 3000 articles have been published in the past 20 years. However, there are currently very few comprehensive reviews on the development of this field. It is very necessary to retrospectively analyze the related articles and summarize the research hotspots, depth, and directions. Objectives This study aimed to quantitatively analyze, visually review and comment on the articles published in the field of osteoporosis and nutrition based on the bibliometric methods, providing new insights for future research. Methods The related articles published from 2004 to 2024 were retrieved from the Web of Science Core Collection (WOSCC). CiteSpace 6.1R2 software was used to conduct collaborative network analysis of annual publication volume, author patterns, country/region contributions, institutional affiliations, journal publications, highly cited literature, and keyword clustering. Results A total of 2138 articles were assessed, revealing a consistent upward trend in published works in this domain, with the majority originating from the United States (564 papers). Seoul National University was identified as the most prolific institution (56 papers). Geng Bin was the most prolific author. Research hotspots included bone density, postmenopausal women, vitamin D, hip fractures, etc. Research subjects included physical activity, sarcopenia, calcium intake, machine learning, etc. Recent research trends indicate that cross-sectional study was more and the quality of life, muscle, and zinc are receiving attention in studies. Conclusions Future research should continue to explore better methods for measuring bone density, investigating indicators for predicting fracture risk, exploring the relationship between various nutrients and substances with osteoporosis at a deeper level, and bolstering management strategies for male osteoporosis. Researchers should conduct longitudinal or interventional studies, and further improving the overall quality of life of patients with osteoporosis.

Identifying teachers’ perceptions for integrating ICT into teaching and learning processes through the implementation of One Laptop Per Child (OLPC) program in primary schools of Rwanda was the main target of this study. The study employed qualitative approach where thirty primary schools’ teachers participated into this study through interviews and group discussions designed for the research questions. Questions and discussions were related to benefits of ICT in education; requirements to integrate ICT into teaching and learning practices; challenges hindering the implementation of OLPC program and the contributions of different stakeholders for implementing OLPC program in primary schools of Rwanda. Through thematic analysis of data, the program was found to be influential to teachers, learners and stakeholders of primary schools in Rwanda. In order to be fruitful, the integration of ICT through implementation of OLPC program requires to help teachers to acquire skills related to Technological Pedagogical Content Knowledge (TPACK). The study also suggested different solutions and strategies related to all identified challenges.

Ovarian cancer (OV) is a common type of carcinoma in females. Many studies have reported that ferroptosis is associated with the prognosis of OV patients. However, the mechanism by which this occurs is not well understood. We utilized Genotype-Tissue Expression (GTEx) and The Cancer Genome Atlas (TCGA) to identify ferroptosis-related genes in OV. In the present study, we applied Cox regression analysis to select hub genes and used the least absolute shrinkage and selection operator to construct a prognosis prediction model with mRNA expression profiles and clinical data from TCGA. A series of analyses for this signature was performed in TCGA. We then verified the identified signature using International Cancer Genome Consortium (ICGC) data. After a series of analyses, we identified six hub genes (DNAJB6, RB1, VIMP/ SELENOS, STEAP3, BACH1, and ALOX12) that were then used to construct a model using a training data set. The model was then tested using a validation data set and was found to have high sensitivity and specificity. The identified ferroptosis-related hub genes might play a critical role in the mechanism of OV development. The gene signature we identified may be useful for future clinical applications.

Background Multiple myeloma (MM) is a heterogeneous disease with different patterns of clonal evolution and a complex tumor microenvironment, representing a challenge for clinicians and pathologists to understand and dissect the contribution and impact of polyclonality on tumor progression. Methods In this study, we established a global cell ecological landscape of the bone marrow (BM) from MM patients, combining single-cell RNA sequencing and single-molecule long-read genome sequencing data. Results The malignant mutation event was localized to the tumor cell clusters with shared mutation of ANK1 and IFITM2 in all malignant subpopulations of all MM patients. Therefore, these two variants occur in the early stage of malignant clonal origin to mediate the malignant transformation of proplasmacytes or plasmacytes to MM cells. Tumor cell stemness index score and pseudo-sequential clonal evolution analysis can be used to divide the evolution model of MM into two clonal origins: types I and IX. Notably, clonal evolution and the tumor microenvironment showed an interactive relationship, in which the evolution process is not only selected by but also reacts to the microenvironment; thus, vesicle secretion enriches immune cells with malignant-labeled mRNA for depletion. Interestingly, microenvironmental modification exhibited significant heterogeneity among patients. Conclusions This characterization of the malignant clonal evolution pattern of MM at the single-cell level provides a theoretical basis and scientific evidence for a personalized precision therapy strategy and further development of a potential new adjuvant strategy combining epigenetic agent and immune checkpoint blockade.