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[Objective] To optimizing the pattern of territorial space development and coordinating the pattern of production-living-ecological space is the key task and fundamental way to achieve sustainable development in the future. [Methods] Based on the land use in Yunnan Province and combined with the natural and social development factors, the MOP-PLUS coupling model was used to simulate the changes of production-living-ecological space and its effects under three scenarios of economic priority, ecological priority and collaborative development in 2030. [Results] (1) Under the three scenarios, the economic benefit increased by 40.29%, 32.10% and 34.79%, the ecological benefit decreased by 0.89%, 0 (unchanged) and 0.06%, the average habitat quality decreased by 0.78%, 0.38% and 0.43%, and the average spatial conflict intensity increased by 2.79%, decreased by 1.21% and decreased by 2.32%. (2) Living space increased and ecological space decreased in the three scenarios. Production space only increased slightly in the economic priority scenario. In all cases, living space encroached on production space, and then production space plagued ecological space. The expansion of living space showed a trend of encroaching from the center to the periphery. (3) Habitat quality decreased to some extent under different development scenarios, and spatial conflicts could be balanced by optimizing spatial layout. Compared with other scenarios, the growth of economic benefits in the collaborative development scenario was moderate, the variation range of habitat quality was relatively balanced, and the intensity of spatial conflicts decreased the most, which was in line with the multiple goals of ecological protection, economic development and social progress. [Conclusion] The simulation-effect-optimization feedback regulation mechanism formed in this paper can be combined with different scales and objectives to carry out land use change simulation and effect analysis, and provide a basis for decision-making of territorial space allocation.

Metastasis is the major cause of treatment failure in patients with prostate adenocarcinoma (PRAD). Diverse programmed cell death (PCD) patterns play an important role in tumor metastasis and hold promise as predictive indicators for PRAD metastasis. Using the LASSO Cox regression method, we developed PCD score (PCDS) based on differentially expressed genes (DEGs) associated with PCD. Clinical correlation, external validation, functional enrichment analysis, mutation landscape analysis, tumor immune environment analysis, and immunotherapy analysis were conducted. The role of Prostaglandin D2 Synthase (PTGDS) in PRAD was examined through in vitro experiments, single-cell, and Mendelian randomization (MR) analysis. PCDS is elevated in patients with higher Gleason scores, higher T stage, biochemical recurrence (BCR), and higher prostate-specific antigen (PSA) levels. Individuals with higher PCDS are prone to metastasis, metastasis after BCR, BCR, and castration resistance. Moreover, PRAD patients with low PCDS responded positively to immunotherapy. Random forest analysis and Mendelian randomization analysis identified PTGDS as the top gene associated with PRAD metastasis and in vitro experiments revealed that PTGDS was considerably downregulated in PRAD cells against normal prostate cells. Furthermore, the overexpression of PTGDS was found to suppress the migration, invasion, proliferationof DU145 and LNCaP cells. To sum up, PCDS may be a useful biomarker for forecasting the possibility of metastasis, recurrence, castration resistance, and the efficacy of immunotherapy in PRAD patients. Additionally, PTGDS was identified as a viable therapeutic target for the management of PRAD. [ABSTRACT FROM AUTHOR]

As an efficient and environmental‐friendly strategy, electrocatalytic oxidation can realize biomass lignin valorization by cleaving its aryl ether bonds to produce value‐added chemicals. However, the complex and polymerized structure of lignin presents challenges in terms of reactant adsorption on the catalyst surface, which hinders further refinement. Herein, NiCo‐based metal‐organic frameworks (MOFs) are employed as the electrocatalyst to enhance the adsorption of reactant molecules through π‐π interaction. More importantly, lattice strain is introduced into the MOFs via curved ligand doping, which enables tuning of the d‐band center of metal active sites to align with the reaction intermediates, leading to stronger adsorption and higher electrocatalytic activity toward bond cleavage within lignin model compounds and native lignin. When 2′‐phenoxyacetophenone is utilized as the model compound, high yields of phenol (76.3%) and acetophenone (21.7%) are achieved, and the conversion rate of the reactants reaches 97%. Following pre‐oxidation of extracted poplar lignin, >10 kinds of phenolic compounds are received using the as‐designed MOFs electrocatalyst, providing ≈12.48% of the monomer, including guaiacol, vanillin, eugenol, etc., and p‐hydroxybenzoic acid dominates all the products. This work presents a promising and deliberately designed electrocatalyst for realizing lignin valorization, making significant strides for the sustainability of this biomass resource. [ABSTRACT FROM AUTHOR]

Introduction: Migraine, as a complex neurological disease, brings heavy burden to patients and society. Despite the availability of established therapies, existing medications have limited efficacy. Thus, we aimed to find the drug targets that improve the prognosis of migraine. Method: We used Mendelian Randomization (MR) and Summary-data-based MR (SMR) analyses to study possible drug targets of migraine by summary statistics from FinnGen cohorts (nCase = 44,616, nControl = 367,565), with further replication in UK Biobank (nCase = 26,052, nControl = 487,214). Genetic instruments were obtained from eQTLGen and UKB-PPP to verify the drug targets at the gene expression and protein levels. The additional analyses including Bayesian co-localization, the heterogeneity in dependent instruments(HEIDI), Linkage Disequilibrium Score(LDSC), bidirectional MR, multivariate MR(MVMR), heterogeneity test, horizontal pleiotropy test, and Steiger filtering were implemented to consolidate the findings further. Lastly, drug prediction analysis and phenome-wide association study(PheWAS) were employed to imply the possibility of drug targets for future clinical applications. Result: The MR analysis of eQTL data showed that four drug targets (PROCR, GSTM4, SLC4A1, and TNFRSF10A) were significantly associated with migraine risk in both the FinnGen and UK Biobank cohorts. However, only GSTM4 exhibited consistent effect directions across the two outcomes(Discovery cohort: OR(95%CI) = 0.94(0.93–0.96); p = 2.70e − 10; Replication cohort: OR(95%CI) = 0.93(0.91–0.94); p = 4.21e − 17). Furthermore, GSTM4 passed the SMR at p < 0.05 and HEIDI test at p > 0.05 at both the gene expression and protein levels. The protein-level MR analysis revealed a strong correlation between genetically predicted GSTM4 with a lower incidence of migraine and its subtypes(Overall migraine: OR(95%CI) = 0.91(0.87–0.95); p = 6.98e-05; Migraine with aura(MA): OR(95%CI) = 0.90(0.85–0.96); p = 2.54e-03; Migraine without aura(MO): OR(95%CI) = 0.90(0.83–0.96); p = 2.87e-03), indicating a strong co-localization relationship (PPH4 = 0.86). Further analyses provided additional validation for the possibility of GSTM4 as a migraine treatment target. Conclusion: This study identifies GSTM4 as a potential druggable gene and promising therapeutic target for migraine. [ABSTRACT FROM AUTHOR]

In view of the low accuracy of the theoretical empirical formula of axial force at the double-sided high-speed rotor end of the traditional air circulation machine, the numerical calculation takes a long time,this paper establishes a narrow gap calculation domain geometric model including double-sided high-speed rotor,and checks the accuracy of the model through experiments. On the basis of axial aerodynamic generation,the axial force is compared and calculated by theoretical formula method and CFD numerical calculation method.Based on the numerical simulation results of axial force, the calculation formula of axial force on the back side of the existing wheel is partially corrected, and a new set of axial aerodynamic calculation formula suitable for air flotation ACM is proposed,and the results show that the minimum error at the compressor end is reduced from 59% to 13% of the original formula, the maximum error is reduced from 261% to 75% of the original formula, the minimum error at the turbine end is reduced from 63% to 2% of the original formula,and the maximum error is reduced from 98% to 8% of the original formula. The new calculation method greatly reduces the error value of the axial force and aims to solve the problem that plagues the engineering side of how to accurately calculate the pneumatic axial force. [ABSTRACT FROM AUTHOR]

Objective: The purpose of this study was to investigate whether the combination of abnormal systemic immune-inflammation index (SII) levels and hyperglycemia increased the risk of cognitive function decline and reduced survival rate in the United States. Methods: This cross-sectional study used data from the National Health and Nutrition Examination Survey (NHANES) database from 2011–2014 and enrolled 1,447 participants aged 60 years or older. Restricted cubic splines (RCS), linear regression and kaplan-meier(KM) curve were employed to explore the combined effects of abnormal SII and hyperglycemia on cognitive function and survival rate, and subgroup analysis was also conducted. Results: The RCS analysis revealed an inverted U-shaped relationship between lgSII levels and cognitive function. Linear regression analysis indicated that neither abnormal SII nor diabetes alone significantly contributed to the decline in cognitive function compared to participants with normal SII levels and blood glucose. However, when abnormal SII coexisted with diabetes (but not prediabetes), it resulted to a significant decline in cognitive function. After adjusting for various confounding factors, these results remained significant in Delayed Word Recall (β:-0.76, P<0.05) and Digit Symbol Substitution tests (β:-5.02, P<0.05). Nevertheless, these results showed marginal significance in Total Word Recall test as well as Animal Fluency test. Among all subgroup analyses performed, participants with both abnormal SII levels and diabetes exhibited the greatest decline in cognitive function compared to those with only diabetes. Furthermore, KM curve demonstrated that the combination of abnormal SII levels and diabetes decreased survival rate among participants. Conclusion: The findings suggest that the impact of diabetes on cognitive function/survival rate is correlated with SII levels, indicating that their combination enhances predictive power. [ABSTRACT FROM AUTHOR]

Bone marrow lesion (BML) volume is a potential biomarker of knee osteoarthritis (KOA) as it is associated with cartilage degeneration and pain. However, segmenting and quantifying the BML volume is challenging due to the small size, low contrast, and various positions where the BML may occur. It is also time-consuming to delineate BMLs manually. In this paper, we proposed a fully automatic segmentation method for BMLs without requiring human intervention. The model takes intermediate weighted fat-suppressed (IWFS) magnetic resonance (MR) images as input, and the output BML masks are evaluated using both regular 2D Dice similarity coefficient (DSC) of the slice-level area metric and 3D DSC of the subject-level volume metric. On a dataset with 300 subjects, each subject has a sequence of 36 IWFS MR images approximately. We randomly separated the dataset into training, validation, and testing sets with a 70%/15%/15% split at the subject level. Since not every subject or image has a BML, we excluded the images without a BML in each subset. The ground truth of the BML was labeled by trained medical staff using a semi-automatic tool. Compared with the ground truth, the proposed segmentation method achieved a Pearson's correlation coefficient of 0.98 between the manually measured volumes and automatically segmented volumes, a 2D DSC of 0.68, and a 3D DSC of 0.60 on the testing set. Although the DSC result is not high, the high correlation of 0.98 indicates that the automatically measured BML volume is strongly correlated with the manually measured BML volume, which shows the potential to use the proposed method as an automatic measurement tool for the BML biomarker to facilitate the assessment of knee OA progression. [ABSTRACT FROM AUTHOR]

Remote ischemic postconditioning (RIPostC) alleviates brain ischemic injury through several pathways, including endoplasmic reticulum (ER) stress modulation. Sarco endoplasmic reticulum Ca2+‐ATPase(SERCA2) which plays vital role in calcium homeostasis regulation could modulate ER stress logically. This study aimed to investigate whether RIPostC exerts its neuroprotective effect by reducing ER stress mediated by SERCA2. Male SD rats underwent transient middle cerebral artery occlusion (tMCAO) for 2 h followed by reperfusion, with the RIPostC group undergoing 3 cycles of bilateral femoral artery clamping and reperfusion at the beginning of reperfusion. Stroke outcome was assessed based on infarct volume and neurological function evaluation. Protein levels of SERCA2 and other ER stress markers were measured using Western blotting, immunofluorescence, and immunohistochemistry techniques. Compared to the sham group, we observed that RIPostC can effectively reduce cerebral infarct volume after I/R (34.55%: 21.03%; p =.004) and improve neurological function deficit (9.67:12.5; p =.029). Additionally, RIPostC increased SERCA2 protein expression and decreased the protein level of glucose‐regulated protein 78 (GRP78), phosphorylation of eukaryotic translation initiation factor 2α (p‐eIF2α) and CCAAT/EBP homologous protein (CHOP). Furthermore, B‐cell lymphoma‐2 (Bcl‐2) expression was increased, while Bcl‐2‐associated X protein (Bax) and cleaved‐caspase‐3 was decreased in response to application of RIPostC. Our results suggest that RIPostC improves the prognosis of tMCAO rats, possibly by inhibiting the ER stress mediated by SERCA2, facilitating apoptosis downregulation. The significance of this study is to provide a theoretical basis for further exploring the protective mechanism of ischemic stroke by RIPostC. Research Highlights: Our results suggest that RIPostC improves the prognosis of tMCAO rats, possibly by inhibiting the ER stress mediated by SERCA2, facilitating apoptosis downregulation, thus achieving a neuroprotective effect. [ABSTRACT FROM AUTHOR]

Purpose: This study aimed to investigate the antioxidative and neuroprotective effects of DJ-1 in mitigating retinal ganglion cell (RGC) damage induced by high glucose (HG)., Methods: A diabetic mouse model and an HG-induced R28 cell model were employed for loss- and gain-of-function experiments. The expression levels of apoptosis and oxidative stress-related factors, including Bax, Bcl-2, caspase3, Catalase, MnSOD, GCLC, Cyto c, and GPx-1/2, were assessed in both animal and cell models using Western blotting. Retinal structure and function were evaluated through HE staining, electroretinogram, and RGC counting. Mitochondrial function and apoptosis were determined using JC-1 and TUNEL staining, and reactive oxygen species (ROS) measurement., Results: In the mouse model, hyperglycemia resulted in reduced retinal DJ-1 expression, retinal structural and functional damage, disrupted redox protein profiles, and mitochondrial dysfunction. Elevated glucose levels induced mitochondrial impairment, ROS generation, abnormal protein expression, and apoptosis in R28 cells. Augmenting DJ-1 expression demonstrated a restoration of mitochondrial homeostasis and alleviated diabetes-induced morphological and functional impairments both in vivo and in vitro ., Conclusion: This study provides novel insights into the regulatory role of DJ-1 in mitochondrial dynamics, suggesting a potential avenue for enhancing RGC survival in diabetic retinopathy., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2024 Peng, Li, Ma, Sun and Chen.)

Purpose: Complications such as explosive choroidal hemorrhage, residual cortex, and capsule rupture often occur during intraocular surgery combined with penetrating keratoplasty (PKP) due to poor maintenance of the anterior chamber. To address these challenges, we have innovatively utilized a sterile polyethylene instrument cover to temporarily reconstruct the anterior chamber., Methods: In this report, we describe a technique where a 'temporary corneal patch' was created from a sterile instrument cover, using a trephine to ensure a diameter approximately 1-2 mm wider than the corneal bed or perforation. This patch was then sutured into the host corneal bed or the perforation with 10-0 nylon sutures during intraocular surgery combined with PKP. Each case was evaluated for surgical efficacy and complications., Results: We successfully applied this technique in three cases of combined corneal transplantation surgery. In two cases, PKP, phacoemulsification, and intraocular lens implantation were successfully performed. In the third case, PKP, vitrectomy, and other intraocular procedures were performed. No intraoperative or postoperative complications were observed., Conclusion: The use of a sterile polyethylene material as a temporary corneal patch for anterior chamber reconstruction represents a safe, effective, and cost-efficient approach for intraocular surgery combined with PKP or posterior segment surgery as a keratoprosthesis., Competing Interests: Conflicts of Interest: The authors declare no conflict of interest.

We report intriguing continuous-wave quasi-single-mode random lasing in methylammonium lead bromide (CH 3 NH 3 PbBr 3 ) perovskite films synthesized on a patterned sapphire substrate (PSS) under excitation of a 532-nm laser diode. The random laser emission evolves from a typical multi-mode to a quasi-single-mode with increasing pump fluences. The full width at half-maximum of the lasing peak is as narrow as 0.06 nm at ∼547.8 nm, corresponding to a high Q-factor of ∼9000. Such excellent random lasing performance is plausibly ascribed to the exciton resonance in optical absorption at 532 nm and the enhanced optical resonance due to the increased likelihood for randomly scattered light to re-enter the optical loops formed among the perovskite grains by multi-reflection at the perovskite/PSS interfaces. This work demonstrates the promise of single-mode perovskite random lasers by introducing the exciton resonance effect and ingeniously designed periodic nano/micro optical structure.

Background: Clear cell renal cell carcinoma (ccRCC) is a common and lethal urological malignancy for which there are no effective personalized therapeutic strategies. Programmed cell death (PCD) patterns have emerged as critical determinants of clinical prognosis and immunotherapy responses. However, the actual clinical relevance of PCD processes in ccRCC is still poorly understood., Methods: We screened for PCD-related gene pairs through single-sample gene set enrichment analysis (ssGSEA), consensus cluster analysis, and univariate Cox regression analysis. A novel machine learning framework incorporating 12 algorithms and 113 unique combinations were used to develop the cell death-related gene pair score (CDRGPS). Additionally, a radiomic score (Rad&#95;Score) derived from computed tomography (CT) image features was used to classify the CDRGPS status as high or low. Finally, we conclusively verified the function of PRSS23 in ccRCC., Results: The CDRGPS was developed through an integrated machine learning approach that leveraged 113 algorithm combinations. CDRGPS represents an independent prognostic biomarker for overall survival and demonstrated consistent performance between training and external validation cohorts. Moreover, CDRGPS showed better prognostic accuracy compared to seven previously published cell death-related signatures. In addition, patients classified as high-risk by CDRGPS exhibited increased responsiveness to tyrosine kinase inhibitors (TKIs), mammalian Target of Rapamycin (mTOR) inhibitors, and immunotherapy. The Rad&#95;Score demonstrated excellent discrimination for predicting high versus low CDRGPS status, with an area under the curve (AUC) value of 0.813 in the Cancer Imaging Archive (TCIA) database. PRSS23 was identified as a significant factor in the metastasis and immune response of ccRCC, thereby validating experimental in vitro results., Conclusions: CDRGPS is a robust and non-invasive tool that has the potential to improve clinical outcomes and enable personalized medicine in ccRCC patients., Competing Interests: The authors declare no conflict of interest., (© 2024 The Author(s). Published by IMR Press.)