[Spatiotemporal Differentiation of Carbon Budget and Carbon Compensation Zoning Based on the Plan for Major Function-oriented Zones：A Case Study of Counties in the Yellow River Basin].

Exploring the spatiotemporal differentiation of the carbon budget and clarifying the zoning of carbon compensation based on the perspective of the main function-oriented zones is of great significance for promoting regional low-carbon development and achieving the "dual carbon" goal. This study was conducted using 550 counties in the Yellow River Basin as the basic unit, and based on the concentration index to examine the spatial distribution characteristics of carbon emissions and carbon absorptions in the main function-oriented zones of the Yellow River Basin, a four-dimensional benchmark framework for carbon compensation zoning was constructed by total scale, economic contribution, ecological carrying capacity, and land development intensity. The SOM-K-means algorithm was used to establish a differentiated carbon compensation zoning scheme. The results showed that： ① The carbon emissions and carbon absorptions and their growth trends of the main function-oriented zones in the Yellow River Basin were in line with the positioning of the main functional area, and the significant space-time distribution characteristics of the concentration level of carbon emissions and carbon absorptions were shown. ② Significant regional differences exist in the four attributes of total carbon emissions scale, economic contribution, ecological carrying capacity, and land development intensity. The overall scale of carbon emissions showed a growth trend, with obvious comparative advantages in the midstream and downstream. The overall comparative advantage of economic contribution increased first and then decreased, with the midstream and downstream being the attribute advantage areas of economic contribution. The overall ecological carrying capacity had been improved, and the upstream had obvious advantages in ecological carrying properties. The advantageous areas for land development were mainly concentrated in the midstream and downstream； in particular, the comparative advantage index in the midstream was showing a rapid upward trend. ③ Moreover, there were 287 compensated areas, 78 balanced areas, and 185 payment areas in the Yellow River Basin. Eleven types of carbon compensation zones were finally formed by combining the comparative advantage index of four types of attributes with the plan for main function-oriented zones, and corresponding low-carbon development strategies were proposed for each type of zone.

GLT-1 downregulation in hippocampal astrocytes induced by type 2 diabetes contributes to postoperative cognitive dysfunction in adult mice.

AIMS: Type 2 diabetes mellitus (T2DM) is related to an increased risk of postoperative cognitive dysfunction (POCD), which may be caused by neuronal hyperexcitability. Astrocyte glutamate transporter 1 (GLT-1) plays a crucial role in regulating neuron excitability. We investigated if T2DM would magnify the increased neuronal excitability induced by anesthesia/surgery (A/S) and lead to POCD in young adult mice, and if so, determined whether these effects were associated with GLT-1 expression. METHODS: T2DM model was induced by high fat diet (HFD) and injecting STZ. Then, we evaluated the spatial learning and memory of T2DM mice after A/S with the novel object recognition test (NORT) and object location test (OLT). Western blotting and immunofluorescence were used to analyze the expression levels of GLT-1 and neuronal excitability. Oxidative stress reaction and neuronal apoptosis were detected with SOD2 expression, MMP level, and Tunel staining. Hippocampal functional synaptic plasticity was assessed with long-term potentiation (LTP). In the intervention study, we overexpressed hippocampal astrocyte GLT-1 in GFAP-Cre mice. Besides, AAV-Camkllα-hM4Di-mCherry was injected to inhibit neuronal hyperexcitability in CA1 region. RESULTS: Our study found T2DM but not A/S reduced GLT-1 expression in hippocampal astrocytes. Interestingly, GLT-1 deficiency alone couldn't lead to cognitive decline, but the downregulation of GLT-1 in T2DM mice obviously enhanced increased hippocampal glutamatergic neuron excitability induced by A/S. The hyperexcitability caused neuronal apoptosis and cognitive impairment. Overexpression of GLT-1 rescued postoperative cognitive dysfunction, glutamatergic neuron hyperexcitability, oxidative stress reaction, and apoptosis in hippocampus. Moreover, chemogenetic inhibition of hippocampal glutamatergic neurons reduced oxidative stress and apoptosis and alleviated postoperative cognitive dysfunction. CONCLUSIONS: These findings suggest that the adult mice with type 2 diabetes are at an increased risk of developing POCD, perhaps due to the downregulation of GLT-1 in hippocampal astrocytes, which enhances increased glutamatergic neuron excitability induced by A/S and leads to oxidative stress reaction, and neuronal apoptosis.

Tandem mass spectral metabolic profiling of 54 actinobacterial strains and their 459 mutants.

Natural products encompass a diverse range of compounds with high impact applications in consumer care, agriculture and most notably, therapeutics. However, despite the expansive chemical repertoire indicated in genomic information of microbes, only a small subset can be obtained under laboratory conditions. To increase accessible chemical space and realize Nature's full chemical potential, a multi-pronged genetic- and cultivation-based strategy has been employed to activate and upregulate natural product biosyntheses in native and heterologous strains. This data descriptor documents a characterized collection of 2,138 liquid chromatography-tandem mass spectrometry (LC/MS-MS) spectra of fermentation extracts from 54 native actinobacterial strains collected from soil and marine environments in Singapore, and their 459 activated mutants in 3 to 5 media. A total of 743 unique metabolites have been identified, with the activated mutants demonstrating an approximately 2-fold expansion in accessible chemical space over wild type strains. Interrogating this expanded chemical diversity with cheminformatic tools can provide direction for the discovery of novel natural products with desirable functional activity.

Decoding the Biomimetic Mineralization of Metal-Organic Frameworks in Water.

This study unveils the "green" metal-organic framework (MOF) structuring mechanism by decoding proton transfer in water during ZIF-8 synthesis. Combining in situ small- to wide-angle X-ray scattering, multiscale simulations, and quantum calculations, we reveal that the ZIF-8 early-stage nucleation and crystallization process in aqueous solution unfolds in three distinct stages. In stage I, imidazole ligands replace water in zinc-water cages, triggering an "acidity flip" that promotes proton transfer. This leads to the assembly of structures from single zinc ions to 3D amorphous cluster nuclei. In stage II, amorphous nuclei undergo a critical transformation, evolving into crystalline nuclei and subsequently forming mesoscale-ordered structures and crystallites. The process proceeds until the amorphous precursors are completely consumed, with the transformation kinetics governed by an energy barrier that determines the rate-limiting step. In stage III, stable crystallite nanoparticles form in solution, characterized by a temperature-dependent thermal equilibrium of molecular interactions at the crystal-solution interface. Beyond these core advancements, we explore the influence of encapsulated pepsin and nonencapsulated lysozyme on ZIF-8 formation, finding that their amino acid proton transfer capacity and concentration influence the resulting biomolecule-MOF composite's shape and encapsulation efficiency. The findings contribute to understanding the molecular mechanisms behind biomimetic mineralization and have potential implications for engineering proteins within amorphous MOF nuclei as protein embryo growth sites.

The dose-response relationship of vortioxetine on major depressive disorder: an umbrella review.

Vortioxetine is a novel multimodal antidepressant, but its precise efficacy and dose-response relationship for treating different symptoms in major depressive disorder (MDD) is still unclear. This umbrella review aims to assess the effectiveness, tolerability, and dose-response relationship of vortioxetine across a comprehensive range of clinical features in adults with MDD, including cognition, depression, anxiety, quality of life, and side effects. We meticulously searched eight electronic databases and included systematic reviews (SRs) and meta-analyses (MAs) of vortioxetine. The methodological quality of each included SR was independently assessed using the AMSTAR2 tool. To evaluate the credibility of the evidence, we utilized the GRADE framework and the Ioannidis criteria. In total, 35 SRs with 278 MAs met the inclusion criteria and based on these studies we performed 56 MAs of interest. While vortioxetine has been consistently shown to have positive effects on various domains, the evidence regarding cognitive performance and depression symptoms is notably robust compared to placebo, despite of relatively overall low quality of evidence. Finally, a dose-response relationship was observed across all categories within the treatment range of 5-20 mg/d and a dosage of vortioxetine 20 mg/d is recommended for adult MDD patients to achieve full functional recovery.

Using convolutional neural network denoising to reduce ambiguity in X-ray coherent diffraction imaging.

The inherent ambiguity in reconstructed images from coherent diffraction imaging (CDI) poses an intrinsic challenge, as images derived from the same dataset under varying initial conditions often display inconsistencies. This study introduces a method that employs the Noise2Noise approach combined with neural networks to effectively mitigate these ambiguities. We applied this methodology to hundreds of ambiguous reconstructed images retrieved from a single diffraction pattern using a conventional retrieval algorithm. Our results demonstrate that ambiguous features in these reconstructions are effectively treated as inter-reconstruction noise and are significantly reduced. The post-Noise2Noise treated images closely approximate the average and singular value decomposition analysis of various reconstructions, providing consistent and reliable reconstructions.

Binding structures of SERF1a with NT17-polyQ peptides of huntingtin exon 1 revealed by SEC-SWAXS, NMR and molecular simulation.

The aberrant fibrillization of huntingtin exon 1 (Httex1) characterized by an expanded polyglutamine (polyQ) tract is a defining feature of Huntington's disease, a neurodegenerative disorder. Recent investigations underscore the involvement of a small EDRK-rich factor 1a (SERF1a) in promoting Httex1 fibrillization through interactions with its N terminus. By establishing an integrated approach with size-exclusion-column-based small- and wide-angle X-ray scattering (SEC-SWAXS), NMR, and molecular simulations using Rosetta, the analysis here reveals a tight binding of two NT17 fragments of Httex1 (comprising the initial 17 amino acids at the N terminus) to the N-terminal region of SERF1a. In contrast, examination of the complex structure of SERF1a with a coiled NT17-polyQ peptide (33 amino acids in total) indicates sparse contacts of the NT17 and polyQ segments with the N-terminal side of SERF1a. Furthermore, the integrated SEC-SWAXS and molecular-simulation analysis suggests that the coiled NT17 segment can transform into a helical conformation when associated with a polyQ segment exhibiting high helical content. Intriguingly, NT17-polyQ peptides with enhanced secondary structures display diminished interactions with SERF1a. This insight into the conformation-dependent binding of NT17 provides clues to a catalytic association mechanism underlying SERF1a's facilitation of Httext1 fibrillization.

Feasibility of a modified hybrid glubran-supported single-proglide technique for access closure during endovascular aneurysm repair.

Objective: This study aimed to evaluate the feasibility of a hybrid Glubran-supported single-Proglide technique for large bore femoral access closure during percutaneous access endovascular aneurysm repair (EVAR). Methods: A retrospective cohort study was performed for all percutaneous EVARs at our center from January 2023 to June 2023. All patients received the hybrid Glubran-supported single-Proglide technique involving a mixture of surgical glue and Lipiodol injection after single suture placement for femoral access closure. Technical success was defined as achieving complete hemostasis without a bailout strategy. Vascular complications and bleeding were defined by Valve Academic Research Consortium-3 (VARC-3) criteria. Vascular access changes and 30-day mortality were recorded. Results: The technique success rate for the entire study population was 100% (55 femoral access in 37 patients; median age: 72; 78% males). The mean sheath size was 20.4 ± 2.3F. The mean manual compression time was 3.5 ± 1.4 min, the mean hemostasis time was 9.0 ± 2.5 min, and the mean procedural time was 103.9 ± 34.7 min. One patient (1.6%) developed an access site infection and recovered conservatively. No VARC-3 vascular complications and access changes were observed. No 30-day mortality happened. Conclusions: The hybrid Glubran-supported single-Proglide technique is feasible for large bore access closure during EVAR and may be a viable alternative; however, larger prospective studies are required to confirm its efficacy.

Relationship between dyadic coping, resilience and fear of childbirth in expectant couples: An actor-partner interdependence model approach.

BACKGROUND: Fear of childbirth is a common concern in pregnant women and their spouses due to the unpredictability of the process and outcome of a delivery, which results in adverse effects on mental health, birth outcomes and family intimacy. However, there is a lack of studies that explore the influencing factors of fear of childbirth among expectant couples from a dyadic perspective. The aim of this study is to explore the correlation of dyadic coping, resilience and fear of childbirth in pregnant couples and to construct an actor-partner interdependence model to verify dyadic effects. METHODS: This cross-sectional survey included 420 couples and was conducted between November 2022 and March 2023 in the obstetric department at two hospitals in China. Convenience sampling and an actor-partner interdependence model was used. FINDINGS: The prevalence of fear of childbirth among pregnant women and their spouses is 37.4 % and 33.1 %, respectively. Women's resilience and dyadic coping had a partner effect on spouses' fear of childbirth, in addition to an actor effect on their own fear of childbirth. Spouses' resilience and dyadic coping had only actor effects on themselves, and no partner effect was found on the pregnant women. CONCLUSION: Women's fear of childbirth was positively associated with spouses' fear of childbirth. Interventions for fear of childbirth should include improving resilience and enhancing dyadic stress support and coping. This study provides empirical evidence for future clinical research and interventions on the psychological status of pregnant women and their partners during pregnancy.

Transmetalation in Surface-Confined Single-Layer Organometallic Networks with Alkynyl-Metal-Alkynyl Linkages.

Transmetalation represents an appealing strategy toward fabricating and tuning functional metal-organic polymers and frameworks for diverse applications. In particular, building two-dimensional metal-organic and organometallic networks affords versatile nanoarchitectures of potential interest for nanodevices and quantum technology. The controlled replacement of embedded metal centers holds promise for exploring versatile material varieties by serial modification and different functionalization. Herein, we introduce a protocol for the modification of a single-layer carbon-metal-based organometallic network via transmetalation. By integrating external Cu atoms into the alkynyl-Ag organometallic network constructed with 1,3,5-triethynylbenzene precursors, we successfully realized in situ its highly regular alkynyl-Cu counterpart on the Ag(111) surface. While maintaining a similar lattice periodicity and pore morphology to the original alkynyl-Ag sheet, the Cu-based network exhibits increased thermal stability, guaranteeing improved robustness for practical implementation.