Cyclic Changes Research Articles

A hybrid model for predicting the carbon price in Beijing: a pilot low-carbon city in China

Beijing is one of the earliest pilot low-carbon cities in China. It was one of the first cities in China to establish a pilot carbon market to achieve this goal. As an emerging market, China’s carbon pricing mechanism is not yet complete. In this context, it is crucial for market managers and companies to predict carbon prices. This study uses a Prophet-EEMD-LSTM model to predict the carbon price in the Beijing carbon market, which significantly improves prediction performance. The advantage of this hybrid model is that it considers the particularities of carbon prices including trends, cyclical changes, and volatility. Considering that the carbon market has multiple complex characteristics, the carbon price is decomposed into multiple simple sequences using the Prophet and EEMD models. These simple sequences were predicted using an LSTM model. The hybrid model outperformed both econometric and single-machine learning models in terms of carbon price prediction. Based on the findings of this study, market managers and companies can take appropriate measures to prevent carbon price risks. These findings are conducive to the smooth operation of the carbon market, thereby providing sustainable support and guidance for the development of low-carbon cities.

Evaluation of the vaginal and urinary microbiota of healthy cycling bitches

BackgroundWhile the urogenital microbiota has recently been characterized in healthy male and female dogs, the influence of sex hormones on the urogenital microbiome of bitches is still unknown. A deeper understanding of the cyclic changes in urinary and vaginal microbiota would allow us to compare the bacterial populations in healthy dogs and assess the impact of the microbiome on various urogenital diseases. Therefore, the aim of this study was to characterize and compare the urogenital microbiota during different phases of the estrous cycle in healthy female dogs. DNA extraction, 16 S rDNA library preparation, sequencing and informatic analysis were performed to determine the vaginal and urinary microbiota in 10 healthy beagle dogs at each phase of the estrous cycle.ResultsThere were no significant differences in alpha and beta diversity of the urinary microbiota across the different cycle phases. Similarly, alpha diversity, richness and evenness of vaginal bacterial populations were not significantly different across the cycle phases. However, there were significant differences in vaginal beta diversity between the different cycle phases, except for between anestrus and diestrus.ConclusionThis study strongly suggests that estrogen influences the abundance of the vaginal microbiota in healthy female dogs, but does not appear to affect the urinary microbiome. Furthermore, our data facilitate a deeper understanding of the native urinary and vaginal microbiota in healthy female dogs.

Design and Control of the Natural Frequency of Brake Discs in the Aspect of the Gray Cast Iron Production Process

The results of research on the influence of the chemical composition of cast iron and its potential changes in the production cycle on the elastic properties and the correctness of numerical simulations of the natural frequency of ventilated brake discs are presented. The tests were carried out for three grades of gray cast iron with flake graphite with a eutectic saturation coefficient ranging from 0.88 to 1.01. A quantitative metallographic assessment of the pearlitic cast iron matrix and graphite precipitates was carried out, and the hardness and compressive/tensile strength of individual cast iron grades were determined, taking into account the limit contents of the alloying elements. Next, ultrasonic tests were performed, and the elastic properties of cast iron were determined. Based on the obtained data, a numerical modal analysis of brake discs was performed, the results of which were compared with the actual values of an FRF frequency analysis. The error of the computer simulations was estimated at approx. 1%, and it was found that the accuracy of the calculations of the first natural frequency did not depend on the dimensions (size) of the discs and the chemical composition of the cast iron from which they were cast. The functional relationships between the chemical composition of cast iron, its strength and elasticity and the first natural frequency of the disc vibrations were determined, and a database of the material parameters of the produced cast iron grades was developed. An implementation example showed the validation of the brake disc design with natural frequency prediction and demonstrated a high convergence of the experimental results with the simulated values. Using I-MR control cards, both the effectiveness of designing and predicting the natural vibrations of brake discs based on the implemented material database as well as the stability of the gray cast iron production and disc casting processes were confirmed.

Cytotoxic effects and comparative analysis of Ni ion uptake by osteoarthritic and physiological osteoblasts

Nickel(Ni)-containing materials have been widely used in a wide range of medical applications, including orthopaedics. Despite their excellent properties, there is still a problem with the release of nickel ions into the patient’s body, which can cause changes in the behaviour of surrounding cells and tissues. This study aims to evaluate the effects of Ni on bone cells with an emphasis on the determination of Ni localization in cellular compartments in time. For these purposes, one of the most suitable models for studying the effects induced by metal implants was used—the patient’s osteoarthritic cells. Thanks to this it was possible to simulate the pathophysiological conditions in the patient’s body, as well as to evaluate the response of the cells which come into direct contact with the material after the implantation of the joint replacement. The largest differences in cell viability, proliferation and cell cycle changes occurred between Ni 0.5 mM and 1 mM concentrations. Time-dependent localization of Ni in cells showed that there is a continuous transport of Ni ions between the nucleus and the cytoplasm, as well as between the cell and the environment. Moreover, osteoarthritic osteoblasts showed faster changes in concentration and ability to accumulate more Ni, especially in the nucleus, than physiological osteoblasts. The differences in Ni accumulation process explains the higher sensitivity of patient osteoblasts to Ni and may be crucial in further studies of implant-derived cytotoxic effects.

Effect of acupuncture at "Zhibian" (BL 54) through "Shuidao" (ST 28) on PI3K/AKT/FOXO3a pathway in mice with poor ovarian response

To observe the protective effect of acupuncture at "Zhibian" (BL 54) through "Shuidao (ST 28)" based on the PI3K/AKT/FOXO3a pathway in mice with poor ovarian response (POR), and to explore the possible mechanism of acupuncture in inhibiting ovarian granulosa cells apoptosis in POR. A total of 45 mice with regular estrous cycles were randomly divided into a blank group, a model group and an acupuncture group, with 15 mice in each group. Mice in the model group and the acupuncture group were given triptolide suspension (50 mg•kg-1•d-1) by gavage for 2 weeks to establish POR model. After successful modeling, mice in the acupuncture group were given acupuncture at "Zhibian" (BL 54) through "Shuidao" (ST 28) for 2 weeks, once a day, 20 min each time. Ovulation induction was started the day after the intervention ended, and samples were taken from each group after ovulation induction. Vaginal smears were used to observe changes in the estrous cycle of mice. The number of oocytes retrieved, ovarian wet weight, final body weight, and ovarian index were measured. The levels of anti-Mullerian hormone (AMH), follicle-stimulating hormone (FSH), estradiol (E2), and luteinizing hormone (LH) in serum were detected by ELISA. The morphology of ovarian tissue was observed by HE staining. The apoptosis of ovarian granulosa cells was detected by TUNEL staining. The mRNA expression of PI3K, AKT, and FOXO3a in ovarian tissue was detected by real-time fluorescence quantitative PCR. The protein expression of Bcl-2 associated X protein (BAX), caspase-3, phosphorylated phosphatidylinositol 3-kinase (p-PI3K), and phosphorylated protein kinase B (p-AKT) in ovarian tissue was detected by Western blot. Compared with the blank group, the rate of estrous cycle disorder in the model group was increased (P<0.01); compared with the model group, the rate of estrous cycle disorder in the acupuncture group was decreased (P<0.01). Compared with the blank group, the number of oocytes retrieved, ovarian wet weight, ovarian index, and final body weight in the model group were decreased (P<0.01); compared with the model group, the number of oocytes retrieved, ovarian index, and ovarian wet weight were increased (P<0.01, P<0.05), and there was no significant difference in final body weight (P>0.05) in the acupuncture group. Compared with the blank group, the serum levels of FSH and LH were increased (P<0.01), and the serum levels of AMH and E2 were decreased (P<0.01) in the model group; compared with the model group, the serum levels of FSH and LH were decreased (P<0.01, P<0.05), and the serum levels of AMH and E2 were increased (P<0.01, P<0.05) in the acupuncture group. Compared with the blank group, the number of normal developing follicles in ovarian tissue in the model group was decreased and the morphology was poor, while the number of atretic follicles increased; compared with the model group, the number, morphology, and granulosa cell structure of follicles in the acupuncture group improved to varying degrees, and the number of atretic follicles decreased. Compared with the blank group, the apoptosis rate of ovarian granulosa cells in the model group was increased (P<0.01); compared with the model group, the apoptosis rate of ovarian granulosa cells in the acupuncture group was decreased (P<0.01). Compared with the blank group, the FOXO3a mRNA expression and caspase-3 and BAX protein expression in ovarian tissue in the model group were increased (P<0.01), and the mRNA expression of PI3K and AKT and the protein expression of p-PI3K, p-AKT, and p-FOXO3a in ovarian tissue were decreased (P<0.01); compared with the model group, the mRNA expression of FOXO3a and protein expression of caspase-3 and BAX in ovarian tissue in the acupuncture group were decreased (P<0.05, P<0.01), and the mRNA expression of PI3K and AKT and the protein expression of p-PI3K, p-AKT, and p-FOXO3a in ovarian tissue were increased (P<0.01, P<0.05). Acupuncture at "Zhibian" (BL 54) through "Shuidao" (ST 28) could inhibit ovarian cell apoptosis, and improve ovarian function in POR mice, and its mechanism may be related to the regulation of key factors in the PI3K/AKT/FOXO3a pathway.

Exploring the multifaceted antitumor activity of axitinib in lung carcinoids

IntroductionLung carcinoids (LCs) are a type of neuroendocrine tumor (NET) that originate in the bronchopulmonary tract. LCs account for 20–25% of all NETs and approximately 1–2% of lung cancers. Given the highly vascularized nature of NETs and their tendency to overexpress vascular growth factor receptors (VEGFR), inhibiting angiogenesis appears as a potential therapeutic target in slowing down tumor growth and spread. This study evaluated the long-term antitumor activity and related mechanisms of axitinib (AXI), a VEGFR-targeting drug, in LC cell lines.MethodsThree LC cell lines (NCI-H727, UMC-11 and NCI-H835) were incubated with their respective EC50 AXI concentrations for 6 days. At the end of the incubation, FACS experiments and Western blot analyses were performed to examine changes in the cell cycle and the activation of apoptosis. Microscopy analyses were added to describe the mechanisms of senescence and mitotic catastrophe when present.ResultsThe primary effect of AXI on LC cell lines is to arrest tumor growth through an indirect DNA damage. Notably, AXI triggers this response in diverse manners among the cell lines, such as inducing senescence or mitotic catastrophe. The drug seems to lose its efficacy when the DNA damage is mitigated, as observed in NCI-H835 cells.ConclusionThe ability of AXI to affect cell viability and proliferation in LC tumor cells highlights its potential as a therapeutic agent. The role of DNA damage and the consequent activation of senescence seem to be a prerequisite for AXI to exert its function.

Red mud/steel slag three-dimensional electrochemical system for the removal of organic pollutant with Na2S2O3 as electrolyte: Contribution of •OHads

The dynamic changes in the iron redox cycle (Fe2+/Fe3+) played a crucial role in the electro-Fenton degradation of organic pollutants. The synthesis of composite particle electrodes RMSSx:y from a mixture of steel slag (SS) and red mud (RM) was applied in a three-dimensional electrochemical system for the remediation of hydrochloric tetracycline (TCH) in wastewater, utilizing Na2S2O3 as an electrolyte. Further, some investigations were conducted to determine the effects of RM/SS, electrolyte, particle electrode dosage, cell voltage, and pH on TCH degradation efficiency. Under optimal conditions such as 8 g/L RMSS5:5 particle electrodes, a cell voltage of 4 V, an initial pH of 3, and 6 mM Na2S2O3 electrolyte, the degradation rate of TCH in wastewater was 98.3 %. Meanwhile, its total organic carbon (TOC) was reduced by 88 % within 60 min. Cyclic experiments with consistently high degradation efficiency demonstrated the stability of the particle electrode RMSS5:5. The practical applicability of RMSS5:5 was further confirmed through its successful treatment of various industrial wastewaters, including dyeing (DW), chemical (CW), and pharmaceutical (PW) effluents, achieving chemical oxygen demand (COD) removal rates of 67.8 %, 67.6 %, and 65.0 % respectively. The enhancement of TCH degradation through the utilization of Na2S2O3 as the electrolyte was primarily attributed to the complexation and reduction effects exerted by S2O32- ions. These effects prevented the leaching and precipitation of iron ions, facilitated the reduction of Fe (III), and consequently enabled •OHads to play a dominant role in the degradation process. These findings demonstrated the potential of RMSS5:5 in efficiently degrading emerging contaminants, thereby offering an innovative approach for utilizing SS and RM as functional materials in electro-Fenton processes.

تأثير لقاح كوفيد -19 على الدورة الشهرية

Background: The implementation of vaccines is a major step in saving humanity from the consequences of COVID-19, and there has become hope for everyone in the world. Menstruation is a key indicator of overall women's health. The COVID-19 vaccination has been associated with changes in the menstrual cycle. Objective: To evaluate the effects of COVID-19 vaccines on the menstrual cycle. Methods: This is a face-to-face interview-based cross-sectional study that recruited 403 vaccinated women with the COVID-19 vaccine who had normal MC before receiving the vaccine for at least six months in Mosul, Iraq, from February 1 to July 31, 2022. We asked the women about their menstrual cycle parameters before and after the vaccination. The results were analyzed statistically. Results: The most frequent age group among study participants was 20–34 years (52.9%). About half of women (58.3%) had received the Pfizer vaccine. 12.2% and 13.65% of women reported significant changes in their menstrual cycle following the first and second doses, respectively. These changes included irregularities in the cycle and modifications in the amount and duration of menses, and the Pfizer vaccine was significantly responsible for these changes. Conclusions: In a small number of women who had a normal menstrual cycle before vaccination, post-Covid-19 vaccination menstrual cycle changes occurred, and the reported changes were not critical. This result can reassure the community about the vaccine's impact on the menstrual cycle.

Combining multiomics to analyze the molecular mechanism of hair follicle cycle change in cashmere goats from Inner Mongolia

Combining multiomics to analyze the molecular mechanism of hair follicle cycle change in cashmere goats from Inner Mongolia

ATR, CHK1 and WEE1 inhibitors cause homologous recombination repair deficiency to induce synthetic lethality with PARP inhibitors.

PARP inhibitors (PARPi) are effective in homologous recombination repair (HRR) defective (HRD) cancers. To (re)sensitise HRR proficient (HRP) tumours to PARPi combinations with other drugs are being explored. Our aim was to determine the mechanism underpinning the sensitisation to PARPi by inhibitors of cell cycle checkpoint kinases ATR, CHK1 and WEE1. A panel of HRD and HRP cells (including matched BRCA1 or 2 mutant and corrected pairs) and ovarian cancer ascites cells were used. Rucaparib (PARPi) induced replication stress (RS) and HRR (immunofluorescence microscopy for γH2AX and RAD51 foci, respectively), cell cycle changes (flow cytometry), activation of ATR, CHK1 and WEE1 (Western Blot for pCHK1S345, pCHK1S296 and pCDK1Y15, respectively) and cytotoxicity (colony formation assay) was determined, followed by investigations of the impact on all of these parameters by inhibitors of ATR (VE-821, 1 µM), CHK1 (PF-477736, 50 nM) and WEE1 (MK-1775, 100 nM). Rucaparib induced RS (3 to10-fold), S-phase accumulation (2-fold) and ATR, CHK1 and WEE1 activation (up to 3-fold), and VE-821, PF-477736 and MK-1775 inhibited their targets and abrogated these rucaparib-induced cell cycle changes in HRP and HRD cells. Rucaparib activated HRR in HRP cells only and was (60-1,000x) more cytotoxic to HRD cells. VE-821, PF-477736 and MK-1775 blocked HRR and sensitised HRP but not HRD cells and primary ovarian ascites to rucaparib. Our data indicate that, rather than acting via abrogation of cell cycle checkpoints, ATR, CHK1 and WEE1 inhibitors cause an HRD phenotype and hence "induced synthetic lethality" with PARPi.

O-266 Multi-omics landscape of uterine fluid-derived extracellular vesicles across the menstrual cycle

Abstract Study question Do extracellular vesicles (EVs) mirror the cyclic physiological changes in endometrial tissue, reflecting the endometrial maturation along the entire menstrual cycle? Summary answer Multi-omics data highlights the importance of EVs during the mid-secretory phase and EVs cargo reflects the state of the tissue throughout the menstrual cycle. What is known already Extracellular vesicles isolated from uterine fluid (UF) during the mid-secretory phase have been characterized for their pivotal role in embryo-maternal communication, particularly in the context of microRNAs (miRNAs) and mRNA. EVs have been posited as potential biomarkers in a minimally invasive liquid biopsy approach for assessing endometrial receptivity, hopefully replacing the endometrial tissue biopsy-based testing. However, the dynamics of EVs and their cargo throughout the distinct phases of the menstrual cycle remain unknown. This is the first study to elucidate UF-EV content throughout the maturation of the endometrium. Study design, size, duration Whole-exome RNA and small-RNA sequencing was performed on 15 paired samples, comprising UF and endometrial biopsy (EB), obtained from healthy female subjects across the menstrual cycle. This initial dataset was expanded with 35 additional UF samples. Cumulatively, the analysis encompassed samples (EB and UF) across the menstrual cycle’s four distinct phases: proliferative (n = 10), early-secretory (ES) (n = 17), mid-secretory (MS) (n = 20), and late-secretory (LS) (n = 18). Additionally, 20 UF-EV samples were used for flow cytometry surface proteome analysis. Participants/materials, setting, methods Participants were excluded when infertility-associated conditions were found and included when they had at least one child born, with no hormonal medications used for three months before the sampling. EVs were extracted from UF with size-exclusion chromatography (SEC) and subsequently with glycosaminoglycan-based precipitation. The EVs were characterized with nanoparticle tracking analysis, western blot, transmission electron microscopy and flow-cytometry surface proteome analysis (MACSPlex) for 37 surface markers. Single-end RNA and small-RNA sequencing were performed on NextSeq1000. Main results and the role of chance The transcriptome, miRNome, and protein surface markers of UF-EVs were characterized throughout the menstrual cycle. Transcriptome profiling was performed in comparison to the preceding phase. During the ES phase, 5,507 differentially expressed genes (DEGs) were observed, most of them being downregulated and associated with G-coupled-protein signaling, while in the MS phase, 867 DEGs were identified associated with nucleosome assembly and cell differentiation. Interestingly in the LS phase, the histone genes associated with nucleosome assembly were upregulated compared to MS, highlighting that histone dynamics change corresponding to the menstrual cycle. The exploration of gene ontology revealed consistent enrichment of genes related to extracellular vesicles in UF-EV and EBs across the menstrual cycle. The miRNA analysis of UF-EVs and EB showed significant overlap in miRNA expression level especially in the MS phase. Furthermore, we found 16 unique miRNAs in the mid-secretory phase whose targets were associated with embryo morphogenesis and cell adhesion. MACSPlex analysis revealed that CD9 and CD63, canonical EV markers, were significantly abundant during the MS phase, indicative of an enriched secretion of EVs during the preparation of the endometrium for embryo implantation. These insights underscore that the cargo of UF-EVs reflects the dynamic changes in the endometrial tissue. Limitations, reasons for caution The research on UF-EVs faced notable challenges due to the irregular and non-standardized collection methods of UF in gynecological practice. This variability in UF collection introduces potential confounding factors. The study also operated with a limited sample size, underscoring the need for further validation. Wider implications of the findings Our study indicates that the UF-EVs reflect the menstrual cycle-related molecular changes and UF-EV analysis could be potentially used to follow the menstrual cycle-related molecular processes in the uterine environment. Trial registration number not applicable

P-775 What is the potential of cervicovaginal mucus as a biomarker for identifying the fertile window and the effectiveness of AI-enhanced prediction for scalability and accessibility?

Abstract Study question What is the potential of cervicovaginal mucus as a biomarker for identifying the fertile window and the effectiveness of AI-enhanced prediction for scalability and accessibility? Summary answer Cervicovaginal mucus is a reliable biomarker for the fertile window. AI Foundation models show promise in enhancing this method’s scalability and predictability. What is known already The timing of ovulation corrosponds to the fertile window. Although modern methods of ovulation detections yield high accuracies, they often require the purchase of sensors/equipment which creates a barrier to those in low-resource settings. Natural fertility awareness based methods, such as CVM monitoring, eliminate this problem, but there are limited recent large-scale studies validating cyclical CVM changes. Digitising CVM monitoring could remove the subjectivity of the interpretation of symptoms. Despite the advances of AI in other FABM areas, limited work has been done on computer vision models for CVM evaluation, which could revolutionise accessibility and scalability, particularly in low-resource settings. Study design, size, duration The study involved analysis of self-reported CVM characteristics data from over 57,000 individuals; largest sample size used in any study investigating the use of CVM as a biomarker. Furthermore, a dataset of CVM images were collected from the public survey and labeled manually (n = 13). The study included retrospective and pilot components, employing statistical analyses like ANOVA, chi-squared, and Spearman correlation, and AI techniques like zero-shot learning for binary segmentation of CVM from smartphone-captured images Participants/materials, setting, methods Self-reported CVM data was obtained from a fertility tracking app and analysed using ANOVA and chi-squared tests to identify and validate findings of cyclical variations, and correlation with lifestyle data. Zero-shot learning was employed using foundation models. An ethically-reviewed survey was generated to collect images for subsequent model training Images from the survey were segmented using the Grounding DINO and the SAM. The surface area and elasticity extracted are used to determine the fertility score. Main results and the role of chance In individuals with 28-day cycles, CVM showed significantly higher quality during the ovulatory phase, marked by increased elasticity (p = 0.00001), amount (p = 0.00001)), and lubricative texture (p &amp;lt; 0.0001), when compared to both the follicular and luteal phases. However, variations in individuals with longer, irregular cycles of over 35 days length, were less pronounced. Age was found to significant positive correlation with overall CVM quality (r = 0.06, p &amp;lt; 0.0001), while no significant correlations were observed with smoking (r = 0.11, p = 0.23), alcohol consumption (r = 0.13, p = 0.17), or BMI (r = 0.006, p = 0.41)). Zero-shot learning for segmentation showed improved accuracy in detecting and extracting CVM from images, with precision of 0.867 and F1 score of 0.929, highlighting the model’s ability to correctly distinguish between CVM patterns corresponding to fertile and infertile status. The intersection over union score suggested consistent model performance. Overall, CVM emerged as a scalable fertility biomarker in typical menstrual cycles, with AI models showing potential for enhancing prediction accuracy and scalability. Limitations, reasons for caution The study’s limitations include its reliance on self-reported CVM data and the potential bias in the foundation models as there was no fine-tuning, due to a small dataset (n = 13). Additionally, the effectiveness of CVM as a biomarker in irregular menstrual cycles and subfertility requires further exploration. Wider implications of the findings Automated analysis of CVM can be a low-cost, scalable (potentially to millions, via mobile application), non-invasive method for fertility awareness. Our findings highlight the potential of AI in empowering fertility awareness, especially in low-resource settings with little access to reproductive healthcare, thus contributing to global health equity. Trial registration number n/a

Gyrfalcon Disease Ecology: A Survey Across Western Alaska

ABSTRACT The Gyrfalcon (Falco rusticolus) is a top avian predator, an Arctic specialist, and among the bird species most vulnerable to climate change. This vulnerability is driven by their narrow ecological niche, limited or lack of southward migration, and circumpolar distribution where the most rapid climatic changes are occurring. Climatic and habitat changes may alter Gyrfalcon disease ecology due to changes in vector distributions, host ranges, and pathogen life cycles. Warmer Arctic temperatures and accompanying landscape changes may also alter the Gyrfalcon’s prey base, and dietary habits can influence transmission of pathogens. To better understand disease ecology in Gyrfalcons, we compared pathogen prevalence across varying time periods at three study sites in Alaska—the Seward Peninsula (2014–2022), the Alaska Peninsula (2021–2022), and the Yukon–Kuskokwim Delta (2008–2013). We collected Gyrfalcon whole blood, thin blood films, cloacal swabs, and fecal samples for serology, haemoparasite assays, microbiological cultures, and fecal tests for parasites. An aliquot of whole blood preserved on filter paper or in Longmire solution was kept for molecular diagnosis of haemoparasites. Serology revealed high exposure to Salmonella (77%), low seroprevalence of avian influenza antibodies (1.5%), exposure to falcon adenovirus type 1 in hatch-year Gyrfalcons (1.3%), and the first report of a Leucocytozoon spp. blood parasite in a Gyrfalcon. We found no antibodies indicative of prior exposure to avian paramyxovirus, West Nile virus, or Chlamydia. One nestling and one hatch-year bird sampled (2 of 12) on the Seward Peninsula exhibited oral plaques from capillarids (Eucoelus spp.) in contrast to those trapped in the Izembek National Wildlife Refuge on the Alaska Peninsula (0 of 6).

Isostructural phase transition and dielectric reversibility in a cobalt thiocyanate complex incorporating an organic-inorganic hybrid compound: (C5H7N2)2[Co(NCS)]4

In this study, a novel inorganic-organic hybrid crystalline material (C5H7N2)2[Co(NCS)4] (compound 1) was obtained by adopting the natural evaporation method using cobalt(II) chloride hexahydrate, ammonium thiocyanate, and 4-aminopyridine as raw materials. The structure and properties of the compounds were characterized by variable-temperature infrared spectroscopy, single-crystal X-ray diffraction (XRD), thermogravimetric analysis (TGA), powder XRD, differential scanning calorimetry (DSC), and dielectric tests. The results revealed P21/c as the space group of compound 1, wherein one-dimensional chains and a two-dimensional mesh structure were formed via combined hydrogen bonding and π···π interactions between the cobalt thiocyanate complex and the protonated 4-aminopyridine, exhibiting noticeable telescopic motions with changes in temperature. The DSC results showed that the compound generated a reversible phase-transition thermal energy peak near 240 K, with the reversible dielectric cycling changes being consistent with the thermal energy changes. This finding highlighted the isostructural phase transition and dielectric reversibility attributes of the herein synthesized compounds, accentuating their multifunctionality and excellent electrochemical properties.

Tipping Points in Overturning Circulation Mediated by Ocean Mixing and the Configuration and Magnitude of the Hydrological Cycle: A Simple Model

Abstract In the modern ocean, the transformation of light surface waters to dense deep waters primarily occurs in the Atlantic basin rather than in the North Pacific or Southern Oceans. The reasons for this remain unclear, as both models and paleoclimatic observations suggest that sinking can sometimes occur in the Pacific. We present a six-box model of overturning that combines insights from a number of previous studies. A key determinant of the overturning configuration in our model is whether the Antarctic Intermediate Waters are denser than the northern subpolar waters, something that depends on the magnitude and configuration of atmospheric freshwater transport. For the modern ocean, we find that although the interbasin atmospheric freshwater flux suppresses Pacific sinking, the poleward atmospheric freshwater flux out of the subtropics enhances it. When atmospheric temperatures are held fixed, North Pacific overturning can strengthen with either increases or decreases in the hydrological cycle, as well as under reversal of the interbasin freshwater flux. Tipping-point behavior, where small changes in the hydrological cycle may cause the dominant location of densification of light waters to switch between basins and the magnitude of overturning within a basin to exhibit large jumps, is seen in both transient and equilibrium states. This behavior is modulated by parameters such as the poorly constrained lateral diffusive mixing coefficient. If hydrological cycle amplitude is varied consistently with global temperature, northern polar amplification is necessary for the Atlantic overturning to collapse. Certain qualitative insights incorporated in the model can be validated using a fully coupled climate model. Significance Statement Currently, the global overturning circulation involves the conversion of waters lighter than Antarctic Intermediate Water to deep waters denser than Antarctic Intermediate Water primarily in the North Atlantic, rather than in the North Pacific or Southern Oceans. Many different factors have been invoked to explain this configuration, with atmospheric freshwater transport, basin geometry, lateral mixing, and Southern Ocean winds playing major roles. This paper develops a simple theory that combines previous theories, presents the intriguing idea that alternate configurations might be possible, and identifies multiple possible tipping points between these states.

Cadmium isotope evidence for near-modern bio-productivity in the early Cambrian ocean

The Ediacaran–Cambrian transition was one of the major transitions in Earth's history, with mass extinctions and radiation of animals. This event has been linked with perturbations in ocean geochemistry, including redox conditions and the oxygenation of Earth's surface environments. Here we present a highly resolved cadmium isotope record (δ114Cd) from shales deposited in a deep-water environment covering the Late Ediacaran to Cambrian Stage 4. Our δ114Cd data vary from −0.70 to +0.35 ‰ and demonstrate the importance of local redox-dependent burial phases on bulk sediment Cd isotope compositions, which are superimposed on global-scale changes in the Cd cycle. The heaviest Cd isotope composition recorded in the early Cambrian Liuchapo Formation is similar to the modern deep ocean, implying a broad similarity in global Cd cycling, perhaps involving similar organic-Cd burial rates. The provision of bio-limiting nutrients by continental weathering with rising oxygen concentrations in Earth's surface environments could have expanded the habitable area of the ocean and contributed to animal diversification.

20th century climate warming and human disturbance triggered high aquatic production and strong water-column mixing in maar Lake Xiaolongwan, northeastern China

Lake ecosystems in northeastern (NE) China are sensitive to global environmental change, and are currently under threats of eutrophication and hypolimnetic anoxia. However, the lack of long-term records of lake production and anoxia in this region makes it difficult to discriminate the impacts of recent anthropogenic activity on lake ecosystems from natural ecosystem variability. This study investigates varved sediments from remote maar Lake Xiaolongwan, NE China and reconstructs high-resolution changes in lake primary production, anoxia, nutrient cycling and catchment processes over the past 1500 years using hyperspectral imaging inferred sedimentary total chlorophyll-a and bacteriopheophytin-a (Bphe-a), combined with sedimentary iron and phosphorus fractions data. Results show that, prior to discernible human impacts in this area from ~600 CE to 1900 CE, lake primary production was higher during warm periods and reduced during cold periods. Bphe-a records show that hypolimnetic anoxia persisted regardless of temperature variability. Cluster analysis suggests that lake algal communities and biogeochemical conditions in the twentieth-century warm period are unprecedented and significantly different from any other time over the past 1500 years. This pheonmenon mostly results from global warming and stronger local catchment disturbance in the early 1900s, combined with atmospheric pollution after the 1950s. Human-driven climate warming has caused stronger seasonal mixing (due to shortened ice-cover duration) and overall better oxygenation in the lake. This study demonstrates clear anthropogenic impacts to lake ecosytems in a relatively pristine region in NE China. We anticipate that our findings will have implications for understanding the status of aquatic ecosystems in NE China under future interacting stressors of anthropogenic climate warming and pollution.

BRD4 plays an antiaging role in the senescence of renal tubular epithelial cells.

Age-related kidney failure is often induced by a decrease in the bioavailability of tubular epithelial cells in elderly chronic kidney disease (CKD) patients. BRD4, an epigenetic regulator and a member of the bromodomain and extraterminal (BET) protein family, acts as a super-enhancer (SE) organizing and regulating genes expression during embryogenesis and cancer development. But the physiological function of BRD4 in normal cells has been less studied. This study aimed to research certain biological roles of BRD4 in the process of normal cell aging and discuss the potential mechanisms. In this study, we investigated the biological functions of BRD4 proteins in the aging of renal tubular cells. At first, we used a D-galactose (D-gal) and BRD4 inhibitor (Abbv-075) to replicate kidney senescence in vivo. D-gal and Abbv-075 were then used to measure the aging-related changes, such as changes in cell cycle, β-galactosidase activity, cell migration, and p16 protein expression in vitro. At last, we knocked down and over-expressed BRD4 to investigate the aging-related physiological phenomena in renal tubular cells. In vitro, D-gal treatment induced noticeable aging-related changes such as inducing cell apoptosis and cell cycle arrest, increasing β-galactosidase activity as well as up-regulating p16 protein expression in primary human tubular epithelial cells. In the aging mice model, D-gal significantly induced renal function impairment and attenuated BRD4 protein expression. At the same time, the BRD4 inhibitor (Abbv-075) was able to mimic D-gal-induced cell senescence. In vivo, Abbv-075 also decreased kidney function and up-regulated p21 protein expression. When we knocked down the expression of BRD4, the senescence-associated β-galactosidase (SA-β-gal) activity increased dramatically, cell migration was inhibited, and the proportion of cells in the G0/G1 phase increased. Additionally, the knockdown also promoted the expression of the senescence-related proteins p16. When the renal tubular cells were overexpressed with BRD4, cell aging-related indicators were reversed in the D-gal-induced cell aging model. BRD4 appears to have an active role in the aging of renal tubular cells in vivo and in vitro. The findings also suggest that BRD4 inhibitors have potential nephrotoxic effects for oncology treatment. BRD4 may be a potential therapeutic biomarker and drug target for aging-related kidney diseases, which warrants additional studies.

Refined GEDI Level-2A Database Construction: Focused on Gyeonggi Province, Republic of Korea

The Global Ecosystem Dynamics Investigation (GEDI), a full-waveform light detection and ranging system, translated the energy into a continuous waveform and recorded the signals chronologically for enabling geometric analysis of the vertical structure of vegetation. The National Aeronautics and Space Administration has used the land, vegetation, and ice sensor (LVIS) airborne laser altimeter system to measure terrain, tree heights, and vegetation carbon stocks in designated areas. The effectiveness of the collected LVIS data has been proven in mapping forest structures and biomass in tropical and temperate systems. Based on the successful achievements of LVIS, the GEDI aimed to establish a global range of forest data needed to analyze and predict the carbon cycle and climate change. The GEDI was launched aboard the SpaceX-16 in 2018 and successfully attached to the International Space Station (ISS) for a 2-year mission, but now extended until March 2023. Since being mounted on the ISS, GEDI measured over 10 billion cloud-free surface observations within the range of 51.6°N to 51.6°S. In this paper, GEDI mission is introduced, and the process of downloading, refining the GEDI level-2A product focused on Gyeonggi Province is outlined.

Predicted Future Changes in the Mean Seasonal Carbon Cycle Due to Climate Change

Through photosynthesis, forests absorb annually large amounts of atmospheric CO2. However, they also release CO2 back through respiration. These two, opposite in sign, large fluxes determine how much of the carbon is stored or released back into the atmosphere. The mean seasonal cycle (MSC) is an interesting metric that associates phenology and carbon (C) partitioning/allocation analysis within forest stands. Here, we applied the 3D-CMCC-FEM model and analyzed its capability to represent the main C-fluxes, by validating the model against observed data, questioning if the sink/source mean seasonality is influenced under two scenarios of climate change, in five contrasting European forest sites. We found the model has, under current climate conditions, robust predictive abilities in estimating NEE. Model results also predict a consistent reduction in the forest’s capabilities to act as a C-sink under climate change and stand-aging at all sites. Such a reduction is predicted despite the number of annual days as a C-sink in evergreen forests increasing over the years, indicating a consistent downward trend. Similarly, deciduous forests, despite maintaining a relatively stable number of C-sink days throughout the year and over the century, show a reduction in their overall annual C-sink capacity. Overall, both types of forests at all sites show a consistent reduction in their future mitigating potential.