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The primary objective of this paper is to delve into the underlying driving forces behind changes in the ecological environment. To achieve this, the paper not only analyzes the multifaceted social, economic, and natural aspects of the composite ecosystem but also develops an ecological environment change evaluation model employing the topological hierarchy-entropy weight method. This model serves as a valuable tool for assessing trends and determining the drivers of ecological change. As a case study, the paper focuses on Gaoqiao Town, located in Yan’an City, Shaanxi Province. It involves a meticulous process of processing multi-year remote sensing images of the study area,as well as image cropping to extract and decode natural index data. Additionally, the paper utilizes social and economic data alongside survey data from annual reports published by local governments within the study area. These datasets are then subjected to the proposed model to evaluate ecological changes in the region. The results show that the modelling approach introduced in this paper effectively captures the ecological changes and their underlying causes in the selected areas, and can provide valuable references for government departments to formulate wise ecological environmental protection and management policies.

Objective: The objective of this study is to investigate the aggressive infiltration of glioblastoma into adjacent brain tissue, considering its challenging prognosis. Initially classified as an intergenic non-coding RNA, we aim to elucidate the functional implications of LINC01138 in glioblastoma. Method: Glioma grading was performed utilizing H&E staining, which unveiled distinct nuclear morphology in high-grade gliomas. The downregulation of LINC01138 in glioma tissues was corroborated through qRT-PCR and gel electrophoresis, concurrently identifying two previously unrecognized LINC01138 isoforms. Expression profiling of all four LINC01138 isoforms was executed in glioma cell lines (A172, SHG-44, U251, U87-MG). The impact of LINC01138 overexpression in U87-MG and U251 cells was evaluated for cell proliferation, migration, and invasion through cell counting, CCK-8 analysis, and Transwell assays. Furthermore, the suppression of LINC01138 in SHG-44 cells substantiated its involvement in fostering tumor malignancy. Transcriptome sequencing revealed the inhibitory influence of LINC01138 on IGF1 expression. These findings contribute to an enriched comprehension of glioma biology by exploring the engagement of LINC01138 through diverse methodologies, thereby elucidating its potential therapeutic significance. Results: Our investigation elucidates the intricate involvement of LINC01138 in gliomas. High-grade gliomas are characterized by elevated cell density and distinctive nuclear features. LINC01138 demonstrates a substantial downregulation in glioma tissues, with the identification of two novel isoforms. The expression of all four LINC01138 isoforms is notably diminished in both glioma tissues and cell lines. Elevated expression of LINC01138 demonstrates inhibitory effects on tumor cell proliferation, migration, and invasion, while its downregulation exacerbates malignancy. The regulatory function of LINC01138 as a repressor of IGF1 expression was elucidated through transcriptome sequencing. Conclusion: The LINC01138 isoforms display notable tumor-suppressive effects, suggesting a promising potential for impeding glioma progression.

Abstract Inorganic sulfide solid-state electrolytes, especially Li6PS5X (X = Cl, Br, I), are considered viable materials for developing all-solid-state batteries because of their high ionic conductivity and low cost. However, this class of solid-state electrolytes suffers from structural and chemical instability in humid air environments and a lack of compatibility with layered oxide positive electrode active materials. To circumvent these issues, here, we propose Li6+xMxAs1-xS5I (M=Si, Sn) as sulfide solid electrolytes. When the Li6+xSixAs1-xS5I (x = 0.8) is tested in combination with a Li-In negative electrode and Ti2S-based positive electrode at 30 °C and 30 MPa, the Li-ion lab-scale Swagelok cells demonstrate long cycle life of almost 62500 cycles at 2.44 mA cm−2, decent power performance (up to 24.45 mA cm−2) and areal capacity of 9.26 mAh cm−2 at 0.53 mA cm−2.

Abstract Cancer cells consistently utilize the unfolded protein response (UPR) to encounter the abnormal endoplasmic reticulum (ER) stress induced by the accumulation of misfolded proteins. Extreme activation of the UPR could also provoke maladaptive cell death. Previous reports have shown that NRF2 antioxidant signaling is activated by UPR and serves as noncanonical pathway to defense and reduce excessive ROS levels during ER stress. However, the mechanisms of regulating NRF2 signaling upon ER stress in glioblastoma have not been fully elucidated. Here we identify that SMURF1 protects against ER stress and facilitates glioblastoma cell survival by rewiring KEAP1-NRF2 pathway. We show that ER stress induces SMURF1 degradation. Knockdown of SMURF1 upregulates IRE1 and PERK signaling in the UPR pathway and prevents ER-associated protein degradation (ERAD) activity, leading to cell apoptosis. Importantly, SMURF1 overexpression activates NRF2 signaling to reduce ROS levels and alleviate UPR-mediated cell death. Mechanistically, SMURF1 interacts with and ubiquitinates KEAP1 for its degradation (NRF2 negative regulator), resulting in NRF2 nuclear import. Moreover, SMURF1 loss reduces glioblastoma cell proliferation and growth in subcutaneously implanted nude mice xenografts. Taken together, SMURF1 rewires KEAP1-NRF2 pathway to confer resistance to ER stress inducers and protect glioblastoma cell survival. ER stress and SMURF1 modulation may provide promising therapeutic targets for the treatment of glioblastoma.

Abstract Histopathology plays a great role in diagnosing various diseases, which is considered as a golden standard for tumor identification. The tissue constituents must be stained by visible labels for microscopic analysis by medical experts. However, this process is time‐consuming, labor‐intensive, and expensive, which requires rapid pathological approaches for diagnosis in the operating room. Here, we present an easy‐to‐process and high‐performance perovskite biological probes for rapid and visual pathological diagnosis of glioma. Perovskite quantum dots can be encapsulated by the copolymer into nanocrystals (PNCs) with a diameter of 100 nm, which is modified with chlorotoxin to achieve the specific recognition of glioma. Benefiting from the super photoluminescence quantum yield (above 93%) of EVA@PNCs aqueous solution, the glioma can be clearly imaged and captured via a smartphone under the excitation of a handheld UV lamp. To demonstrate the visualization and efficiency of PNC probes, different malignant grades of brain tumor sections can be distinguished in no more than 5 min. This strategy provides a general auxiliary diagnosis platform for achieving the histopathology analysis near the operating bed, which is currently not feasible with standard histochemical staining methods.

Summary: Flexible perovskite solar cells (PSCs) are highly promising photovoltaic technologies due to the prospect of integration with wearable devices. However, conventional encapsulation strategies for flexible devices often cause secondary damage to the perovskite crystals, which affects device performance. Here, we present self-encapsulated flexible PSCs realized by lamination technology. The conversion of perovskite crystals is achieved by the diffusion of lead iodide and ammonium halide under the effect of temperature and pressure. In addition, the hydrogen bonding of the introduced polyacrylamide enhances the connections of the integral device while improving the crystal quality. The self-encapsulated flexible PSCs achieve an outstanding photovoltaic conversion efficiency of 22.33%, and comprehensive stability tests are conducted based on wearable device application scenarios to verify the feasibility. Finally, 25 cm2 wearable perovskite modules are successfully applied into the neuro-assisted wearable devices.

This study summarizes the engineering design and calculation methods of micropiles and proposes a pile length optimization model based on numerical simulation software. Based on the proposed micropile calculation method and optimization method, a specific analysis of a project example was carried out, and a series of calculations, such as micropile design calculation and pile length optimization for the project, was completed. The results show that the miniature pile length optimization model based on numerical simulation finite difference method improves the previous method by automating the optimization process through fast modeling, automatic creation of optimization commands, and output and analysis of optimization results, and realizes the optimization of pile length using numerical simulation, which improves the efficiency of the optimization of the pile length under the premise of guaranteeing accuracy, and achieves the unity of both efficiency and accuracy. The feasibility of this optimization process is proved by engineering examples. The engineering practicability of the micropile design calculation method and optimization method proposed in this study is proved through practice. It provides a reference value for the initial fast and flexible management of small landslides.

Background Lumbar disc herniation is one of the most common causes of low back pain, and the number of cases has been increasing year by year in recent years. High-quality guidelines can standardize clinical diagnosis and treatment behaviors and improve medical quality, and screening and formulating high-quality guidelines are of great significance for standardizing the clinical practice of lumbar intervertebral disc herniation. Objective To systematically evaluate the methodological quality of clinical practice guidelines and expert consensus for lumbar intervertebral disc herniation, and to analyze the high-quality guidelines and consensus recommendations, in order to provide reference for the prevention and treatment of lumbar intervertebral disc herniation. Methods Clinical practice guidelines and expert consensus on lumbar intervertebral disc herniation were searched from the establishment of each database to October 31, 2023. At the same time, Dangdang.com and others were manually searched to obtain the guidelines for lumbar intervertebral disc herniation published in the form of monographs. After the consistency evaluation was passed by two researchers, the methodological quality of the included guidelines and consensus was evaluated using the AGREE Ⅱ tool, and the high-quality guidelines and consensus recommendations were analyzed. Results A total of 15 guidelines and consensus were included, and the final recommendation level of 9 guidelines was B (can be recommended after modification), and 6 guidelines and consensus were C (not recommended for the time being). Recommendations mainly include bed rest, medication, surgical treatment, etc. Conclusion The methodological quality of the clinical practice guidelines and expert consensus for lumbar intervertebral disc herniation needs to be further improved, and some treatment methods are controversial, and the recommendations of the guidelines need to be further improved and unified to optimize clinical practice.