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This paper reviews the transformative shifts within China’s photovoltaic (PV) industry against the backdrop of a global pivot from fossil fuels to renewable energies, a transition underscored by the pressing demands of climate change mitigation. By systematically analyzing existing literature, this study captures the rapid advancements and dominant role of China in the global PV market, spurred by robust governmental support and technological innovation. It also identifies persistent challenges such as technological gaps, supply chain instability, and evolving regulatory frameworks. Key findings highlight the industry’s significant contributions to national energy security and its pivotal role in achieving China’s carbon neutrality goals. This research underscores the critical importance of the PV industry in steering global sustainable energy policies and practices.

The healthy development of community elderly care service is very important. Studying the quality evaluation of community elderly care services and establishing a complete, scientific, and objective community elderly care service method can establish the online reputation of enterprises and help elderly users obtain cost-effective elderly care services. This is very important for healthy development. This paper puts forward a new evaluation model for the quality of community elderly care service. The evaluation method based on the model is designed, the quality evaluation model is constructed, and the community evaluation system is developed. From the aspects of requirement analysis, design, implementation, and testing, the specific implementation process of the system is described. This paper puts forward a community evaluation model which accords with the clustering model: community elderly care service quality evaluation method. AIS-OR mathematical modeling is carried out. Under the guidance of the model, the secondary indicators are analyzed and determined, and the mathematical model of indicator evaluation is constructed. We use text mining technology and emotion analysis to determine the relationship between comment emotion and community elderly care service quality online and build a quality emotion feature library. The naive Bayesian algorithm is used to classify the online evaluation of the service quality of community elderly care services, which verified by experiments and completed the design and development of the community elderly care service quality evaluation system based on the project needs.

Soft magnetic materials with stable permeability up to hundreds of megahertz (MHz) are urgently needed for integrated transformers and inductors, which are crucial in the more-than-Moore era. However, traditional frequency-stable soft magnetic ferrites suffer from low saturation magnetization and temperature instability, making them unsuitable for integrated circuits. Herein, we fabricate a frequency-stable soft magnetic composite featuring a magnetic vortex structure via cold-sintering, where ultrafine FeSiAl particles are magnetically isolated and covalently bonded by Al 2 SiO 5 /SiO 2 /Fe 2 (MoO 4 ) 3 multilayered heterostructure. This construction results in an ultrastable permeability of 13 up to 1 gigahertz (GHz), relatively large saturation magnetization of 105 Am 2 /kg and low coercivity of 48 A/m, which we ascribe to the elimination of domain walls associated with almost uniform single-vortex structures, as observed by Lorentz transmission electron microscopy and reconstructed by micromagnetic simulation. Moreover, the ultimate compressive strength has been simultaneously increased up to 337.1 MPa attributed to the epitaxially grown interfaces between particles. This study deepens our understanding on the characteristics of magnetic vortices and provides alternative concept for designing integrated magnetic devices. The development of higher frequency transformers and inductors requires soft magnetic materials with stable permeability up to GHz frequencies, however, such soft magnetic materials are current lacking. Here Bai et al demonstrate a soft magnetic composite featuring isolated magnetic vortices, which endow the material with a stable permeability over a GHz range of frequency.

Background Although the prognostic outcomes of liver cancer (LC) cases have improved with the advancement in diagnostic technology and treatment methods, the transferability and recurrence of HCC and the 5-year and 10-year survival rates of patients have remained unsatisfactory. As a result, there is a need for more accurate diagnostic indicators that can detect liver cancer early, effectively improving the prognosis of patients. Whole-genome sequencing (WGS) revealed that circ-ZEB1 and PIK3CA are highly expressed in HCC tissues, whereas miR-199a-3p is significantly downregulated in HCC. Multiple databases search and biological analysis revealed that elevated expression of circ-ZEB1 and PIK3CA was related to poor prognosis of HCC. In vitro and in vivo studies revealed that upregulated levels of PIK3CA and circ-ZEB1 were closely associated with HCC proliferation and apoptosis. Based on these results, we believe that circ-ZEB1 and PIK3CA could be used as biomarkers to diagnose and treat patients with HCC. More importantly, circ-ZEB1 can promotes the expression of PIK3CA by silencing miR-199a-3p and affecting the progression of HCC. Methods and results Postoperative specimens from 56 patients with HCC who had not undergone chemotherapy from 2015 to 2018 were collected from the Department of Hepatobiliary Surgery, Second Affiliated Hospital of Nanchang University. WGS revealed differential expression of genes in HCC. Furthermore, RT-qPCR detected the expression of circ-ZEB1, miR-199a-3p, and PIK3CA in HCC tissues. MTT, EdU, and plate cloning experiments were conducted to detect cell proliferation, whereas flow cytometry analysis was used to detect apoptosis. FISH was used to co-localize circ-ZEB1 and miR-199a-3p, and biotin-coupled probe pull-down assay was used to detect the specific binding of circ-ZEB1 and miR-199a-3p. The dual-luciferase report assay detected the association of miR-199a-3p with PIK3CA. Western blotting was used to study the expression of PIK3CA protein. Circ-ZEB1 and PIK3CA were upregulated in HCC and predicted a poor prognosis. MiR-199a-3p showed low expression in HCC, whereas downregulation of circ-ZEB1 reduced HCC cell proliferation and promoted cell apoptosis. MiR-199a-3p blocked the effect of circ-ZEB1 on HCC. Circ-ZEB1 served as a biomarker of HCC. Circ-ZEB1 promoted the expression of PIK3CA by silencing miR-199a-3p to affect the progress of HCC. Conclusions Circ-ZEB1 promoted the expression of PIK3CA by depleting miR-199a-3p, thereby affecting HCC proliferation and apoptosis.

Many proteins and signaling pathways participate in anti-viral host responses. Long non-coding RNAs (lncRNAs), a subset of non-coding RNAs greater than 200 nucleotides in length, have been recently described as critical regulators in viral infections. Accumulating research indicates that lncRNAs are important in the development and progression of infectious diseases. LncRNAs are not only involved in anti-viral responses, but in many different virus-host interactions, some of which may be beneficial to the virus. Here we review the current knowledge regarding host and viral lncRNAs and their roles in viral infections. In addition, the potential of using lncRNAs as diagnostic biomarkers is discussed.

White Bear Lake, Minnesota, has lost a large amount of water due to excessive groundwater extraction. Using a general nested spatial hedonic pricing model, this paper identifies and evaluates the impact of water loss in the lake on lakeshore properties. In addition to providing a quantitative estimate of property value loss, the results show that the marginal loss intensifies as water level persistently declines further. The findings of this study alert emerging urban areas to the negative externalities of failing to balance the tasks of meeting increased water demand as well as achieving sustainable water use.

Blood vessels are a key target for cancer therapy. Compared with the healthy vasculature, tumor blood vessels are extremely immature, highly permeable, and deficient in pericytes. The aberrantly vascularized tumor microenvironment is characterized by hypoxia, low pH, high interstitial pressure, and immunosuppression. The efficacy of chemotherapy, radiotherapy, and immunotherapy is affected by abnormal blood vessels. Some anti-angiogenic drugs show vascular normalization effects in addition to targeting angiogenesis. Reversing the abnormal state of blood vessels creates a normal microenvironment, essential for various cancer treatments, specifically immunotherapy. In addition, immune cells and molecules are involved in the regulation of angiogenesis. Therefore, combining vascular normalization with immunotherapy may increase the efficacy of immunotherapy and reduce the risk of adverse reactions. In this review, we discussed the structure, function, and formation of abnormal vessels. In addition, we elaborated on the role of the immunosuppressive microenvironment in the formation of abnormal vessels. Finally, we described the clinical challenges associated with the combination of immunotherapy with vascular normalization, and highlighted future research directions in this therapeutic area.

Damaged skin cannot prevent harmful bacteria from invading tissues, causing infected wounds and even serious tissue damage. Traditional treatments can not only kill pathogenic bacteria, but also suppress the growth of beneficial bacteria, thus destroying the balance of the damaged skin microbial ecosystem. Here, a living bacterial hydrogel scaffold is reported that accelerates infected wound healing through beneficial bacteria secreting antibacterial substances. Lactobacillus reuteri, a common probiotic, is encapsulated in hydrogel microspheres by emulsion polymerization and further immobilized in a hydrogel network by covalent cross‐linking of methacrylate‐modified hyaluronic acid. Owing to light‐initiated crosslinking, the hydrogel dressing can be generated in situ at the wound site. This hydrogel scaffold not only protects bacteria from immune system attack, but also prevents bacteria from escaping into the local environment, thus avoiding potential threats. Both in vitro and in vivo experiments show that it has excellent ability against harmful bacteria and anti‐inflammatory capabilities, promoting infected wound closure and new tissue regeneration. This work may open up new avenues for the application of living bacteria in the clinical management of infected wounds. A convenient and novel living bacteria hydrogel platform is presented, which not only provides protection for bacteria from the immune system, but also prevents bacteria from escaping into the local environment, avoiding the potential threats. In vitro and in vivo experiments, the platform exhibits excellent ability against harmful bacteria and anti‐inflammatory capabilities, promoting infected wound closure and new tissue regeneration.

Objective To assess perceptions of risk and related factors concerning COVID-19 epidemic among residents in Chongqing city, China. Methods With convenience sampling, a web questionnaire survey was conducted among 476 residents living in Chongqing on February 13rd to 14th in 2020, when citizens just started to get back to work. Results Residents’ estimated perceived risks were (4.63 ± 0.57), (4.19 ± 0.76), (3.23 ± 0.91) and (2.29 ± 0.96) for the infectivity, pathogenicity, lethality and self-rated infection possibility of COVID-19, respectively. Females (OR = 4.234), people with income ≥ 2000 yuan (2000–4999 yuan: OR = 5.052, 5000–9999 yuan: OR = 4.301, ≥ 10,000 yuan: OR = 23.459), the married status (OR = 1.811), the divorced status, widows or widowers (OR = 3.038), people living with families including children (OR = 5.085) or chronic patients (OR = 2.423) had a higher perceived risk level, as well as people who used free media websites (OR = 1.756), community workers (OR = 4.064) or community information platforms (OR = 2.235) as main media information sources. The perceived risk increased by 4.9% for every one-year increase of age. People who used WeChat contacts (OR = 0.196) as the main media information source, reported a lower perceived risk. Conclusion Residents reported a high level of risk perception towards COVID-19 in Chongqing and it was impacted by the population demographic characteristics. Media information sources, including community information platforms and community workers may cause the increase of public risk perceptions.

The entity alignment task aims to match semantically corresponding entities in different knowledge graphs, which is important for knowledge fusion. Traditional graph-based methods often lose information due to insufficient use of attributes and imperfect relationship modeling, which makes it difficult to capture the deep semantic relationship between entities fully. To improve the effect of entity alignment, we propose a new model named ARNM-DAE2A, which strengthens the information aggregation capability of GCN by introducing a dual-attention mechanism to ensure a more balanced and comprehensive structural representation. The model contains the entity structure embedding module, the attribute structure embedding module, the joint alignment module and the relationship-aware neighborhood matching module. The entity structure embedding module optimizes the structure learning capability of GCN by introducing the pairwise attention mechanism. The attribute structural embedding module utilizes GCN to acquire entity attribute information. The joint alignment module weights and fuses the relationship structure information and attribute information as a comprehensive representation of entities. The relationship-aware neighborhood matching module then corrects the noise in the GCN aggregated information by comparing the neighborhood relationships of entity pairs. Experiments conducted on DBP15K and SRPRS datasets illustrate that the proposed ARNM-DAE2A outperforms baselines.