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The impact of soil moisture (SM) and vapor pressure deficit (VPD) on gross primary productivity (GPP) variability in ecosystems is a topic of significant interest. Previous studies have predominantly focused on real-time associations between SM, VPD, and carbon uptake, attributing SM as the principal driver of GPP variability due to its direct and indirect effects through VPD. Using an information theory-based process network approach, we discovered that the influence of past VPD, mediated through its effects on SM, emerges as the primary driver of GPP variability across tropical regions. The past VPD conditions influence GPP directly and also affect SM in real-time alongside GPP, which subsequently impacts GPP variability. Examining land-atmosphere feedback using information theory reveals that past VPD conditions influence SM, but not the reverse. These causal structures explain the consistent decline in GPP with increasing VPD trends observed in tropical regions, which are not consistent with SM trends. Our findings emphasize the importance of considering the influence of past VPD mediated by SM when analyzing complex land-vegetation-atmosphere interactions.

Variations in the uptake of atmospheric carbon by vegetation over India, the second-highest contributor to global greening, have enormous implications for climate change mitigation. Global studies conclude that temperature and total water storage (TWS) cause interannual variations of carbon uptake based on the correlation coefficient, which is not a causality measure. Here, we apply a statistically rigorous causality approach, Peter Clark momentary conditional independence, to the monthly observed satellite and station-based gridded dataset of India’s climate and carbon uptake variables. We find no existence of causal connections from TWS to gross primary production (GPP) or net photosynthesis (PSN). Causal relationships exist from precipitation to GPP and PSN. Since shallow-rooted croplands dominate India’s green cover, impacts of precipitation on carbon capture of the the land ecosystem are immediate and not via TWS. Our results identify the key climate drivers of GPP/PSN variability and highlight interactions between water and the carbon cycle in India. Our results also highlight the need for formal causal analysis using climate and earth sciences observations rather than the conventional practices of inferring causality from correlations.

Candida albicans, a ubiquitous commensal fungus that colonizes human mucosal tissues and skin, can become pathogenic, clinically manifesting most commonly as oropharyngeal candidiasis and vulvovaginal candidiasis (VVC). Studies in mice and humans convincingly show that T-helper 17 (Th17)/interleukin 17 (IL-17)–driven immunity is essential to control oral and dermal candidiasis. However, the role of the IL-17 pathway during VVC remains controversial, with conflicting reports from human data and mouse models. Like others, we observed induction of a strong IL-17–related gene signature in the vagina during estrogen-dependent murine VVC. As estrogen increases susceptibility to vaginal colonization and resulting immunopathology, we asked whether estrogen use in the standard VVC model masks a role for the Th17/IL-17 axis. We demonstrate that mice lacking IL-17RA, Act1, or interleukin 22 showed no evidence for altered VVC susceptibility or immunopathology, regardless of estrogen administration. Hence, these data support the emerging consensus that Th17/IL-17 axis signaling is dispensable for the immunopathogenesis of VVC.

Pressure sensing is not a new concept and can be applied by using different transduction mechanisms and manufacturing techniques, including printed electronics approaches. However, very limited efforts have been taken to realise pressure sensors fully using additive manufacturing techniques, especially for personalised guide prosthetics in biomedical applications. In this work, we present a novel, fully printed piezoresistive pressure sensor, which was realised by using Aerosol Jet® Printing (AJP) and Screen Printing. AJ®P was specifically chosen to print silver interconnects on a selective laser sintered (SLS) polyamide board as a customised substrate, while piezoresistive electrodes were manually screen-printed on the top of the interconnects as the sensing layer. The sensor was electromechanically tested, and its response was registered upon the application of given signals, in terms of sensitivity, hysteresis, reproducibility, and time drift. When applying a ramping pressure, the sensor showed two different sensitive regions: (i) a highly sensitive region in the range of 0 to 0.12 MPa with an average sensitivity of 106 Ω/MPa and a low sensitive zone within 0.12 to 1.25 MPa with an average sensitivity of 7.6 Ω/MPa with some indeterminate overlapping regions. Hysteresis was negligible and an electrical resistance deviation of about 14% was observed in time drift experiments. Such performances will satisfy the demands of our application in the biomedical field as a smart prosthetics guide.

The tumor cells frequently rely on glycolysis to produce adenosine 5′-triphosphate (ATP), even when sufficient oxygen is available to allow oxidative phosphorylation (the Warburg effect). In these malignancies, the breakdown of glucose to pyruvate, instead of reaching the mitochondria, is transformed to lactate by an enzyme called lactate dehydrogenase (LDH) and then expelled by the cells, further fuelling the tumour microenvironment (TME). LDH facilitates the translation of pyruvate to lactate, hence replenishing the required NAD + equivalents for the ongoing glycolysis process. Having a pivotal role in cancer cells’ prognosis and survival, and affecting the TME. To date, no inhibitors have yet been approved against the LDH. However, numerous clinical trials are ongoing, and results are yet to be awaited. Considering the existing gap, we present herein a high-throughput virtual screening (HTVS) approach to identify new compounds that effectively inhibit LDH activity. We generated the pharmacophore model based on 28 LDH enzyme inhibitors from previous literature. The model was used to screen 500,000 ligands in addition to their molecular docking and drug-likeness filtering. The analysis led to the identification of 5 hits, which were further subjected to the MD simulations. Further considering the outcome of molecular dynamics results, we selected ligands 15 and 422 to corroborate their anticancer potential via inhibiting the LDH enzyme. The biological validation revealed that both ligands, 15 and 422, possess IC 50 values of 147.34 and 206.35 nM, respectively, against LDH. The anticancer potential analysis of DU-145 and PC-3 also established their anticancer properties, and both compounds were found to marginally elevate oxidative stress, change mitochondrial membrane potential, and induce apoptosis in DU-145 cells.

Candida albicans is an opportunistic fungal pathogen responsible for superficial and life-threatening infections in humans. During mucosal infection, C. albicans undergoes a morphological transition from yeast to invasive filamentous hyphae that secrete candidalysin, a 31-amino-acid peptide toxin required for virulence. Candidalysin damages epithelial cell plasma membranes and stimulates the activating protein 1 (AP-1) transcription factor c-Fos (via p38–mitogen-activated protein kinase [MAPK]), and the MAPK phosphatase MKP1 (via extracellular signal-regulated kinases 1 and 2 [ERK1/2]–MAPK), which trigger and regulate proinflammatory cytokine responses, respectively. The candidalysin toxin resides as a discrete cryptic sequence within a larger 271-amino-acid parental preproprotein, Ece1p. Here, we demonstrate that kexin-like proteinases, but not secreted aspartyl proteinases, initiate a two-step posttranslational processing of Ece1p to produce candidalysin. Kex2p-mediated proteolysis of Ece1p after Arg61 and Arg93, but not after other processing sites within Ece1p, is required to generate immature candidalysin from Ece1p, followed by Kex1p-mediated removal of a carboxyl arginine residue to generate mature candidalysin. C. albicans strains harboring mutations of Arg61 and/or Arg93 did not secrete candidalysin, were unable to induce epithelial damage and inflammatory responses in vitro , and showed attenuated virulence in vivo in a murine model of oropharyngeal candidiasis. These observations identify enzymatic processing of C. albicans Ece1p by kexin-like proteinases as crucial steps required for candidalysin production and fungal pathogenicity. IMPORTANCE Candida albicans is an opportunistic fungal pathogen that causes mucosal infection in millions of individuals worldwide. Successful infection requires the secretion of candidalysin, the first cytolytic peptide toxin identified in any human fungal pathogen. Candidalysin is derived from its parent protein Ece1p. Here, we identify two key amino acids within Ece1p vital for processing and production of candidalysin. Mutations of these residues render C. albicans incapable of causing epithelial damage and markedly reduce mucosal infection in vivo . Importantly, candidalysin production requires two individual enzymatic events. The first involves processing of Ece1p by Kex2p, yielding immature candidalysin, which is then further processed by Kex1p to produce the mature toxin. These observations identify important steps for C. albicans pathogenicity at mucosal surfaces. Candida albicans is an opportunistic fungal pathogen that causes mucosal infection in millions of individuals worldwide. Successful infection requires the secretion of candidalysin, the first cytolytic peptide toxin identified in any human fungal pathogen. Candidalysin is derived from its parent protein Ece1p. Here, we identify two key amino acids within Ece1p vital for processing and production of candidalysin. Mutations of these residues render C. albicans incapable of causing epithelial damage and markedly reduce mucosal infection in vivo . Importantly, candidalysin production requires two individual enzymatic events. The first involves processing of Ece1p by Kex2p, yielding immature candidalysin, which is then further processed by Kex1p to produce the mature toxin. These observations identify important steps for C. albicans pathogenicity at mucosal surfaces.

Due to extended thermal carrier lifespan, small bandgap, and biocompatibility, tin (Sn)-based perovskite solar cells (PSCs) have garnered attention. Sn-based PSCs (nip-type), however, have performed poorly, mostly because of the careless application of metal oxide electron transport layers (ETLs), which were first created for lead-based PSCs of the nip type. The metal oxides deeper energy levels and oxygen vacancies are too responsible for this underperformance. In order to overcome these problems, we demonstrate a metal chalcogenide ETL, namely Sn(S 0.92 Se 0.08 ) 2 , which prevents the oxidation of Sn 2+ and avoids the desorption of oxygen molecules. The variation of several charge transport layers is thoroughly analyzed in this work, indicating that SnS 2 , TiO 2 , and metal-doped Sn(S 0.92 Se 0.08 ) 2 are viable options to improve the efficiency of the FASnI 3 (Energy gap (E g ) ≈ 1.41electron volt (eV) PSC. With Sn(S 0.92 Se 0.08 ) 2 as ETL and PTAA as Hole transport layer (HTL), the PSC’s performance is maximized and the optimal performance device structure is attained. For our investigation, the optimal device structure is (Au/PTAA/FASnI 3 /Sn(S 0.92 Se 0.08 ) 2 /FTO). We obtain an outstanding optimized value of Power conversion efficiency (PCE) 32.22%, Open circuit voltage (V OC ) 1.2762 V, Fill factor (FF) 81.87%, and Short-circuit current density (J SC ) 30.836 mA.cm − 2 by carefully evaluating and optimizing a number of variables, such as thickness of active layer, ETL and HTL, Acceptor density (N A ), Defect density (N t ) vs. thickness variation, Interface defect (IDD) and temperature variation. These findings provide a viable pathway for enhancing the efficiency of Sn-based PSCs.

Background Airway management is central to anaesthetic practice, with endotracheal intubation pivotal in both elective and emergency settings. Although various assessment tests aim to predict a difficult airway, their predictive performance varies widely. Comparative evaluation is therefore required to identify the most reliable predictor. Objective The study was conducted to compare the two index ratios, the ratio of neck circumference to thyromental distance (RNTMD) and the ratio of neck circumference to inter-incisor gap (RNCIIG), to determine their effectiveness in predicting difficult intubation. Methods This prospective observational study consisted of 118 participants undergoing elective surgeries under general anaesthesia. Measurements of neck circumference, thyromental distance, and inter-incisor gap were recorded preoperatively. RNTMD and RNCIIG were calculated. Ease of intubation was determined using the Intubation Difficulty Scale (IDS). Predictive indices and diagnostic accuracy were calculated for both indices. Results Both parameters were comparable in terms of specificity, positive and negative predictive values, and diagnostic accuracy. The area under the curve, as calculated from the receiver operating characteristic (ROC), was 0.80 for RNCIIG and 0.96 for RNTMD. However, RNCIIG was found to be more sensitive (80%) than RNTMD (69%). Conclusion We conclude that both airway assessment indices, RNCIIG and RNTMD, are effective predictors of a difficult airway. A ratio of two indices provides superior diagnostic accuracy and reliability than when a single parameter is used alone.

Iron nanoparticles are catalytic and reactive materials whose properties depend on their shape and morphology. Here, iron nanoparticles were in-situ grafted on carbon nanogranules (INP-CNGs). Maltene extracted from petroleum vacuum residue and ferrocene have been chosen as carbon and iron source to synthesize INP-CNGs via chemical vapor deposition (CVD) method, which were characterized in detail by various analytical and spectroscopic techniques. Polymethyl methacrylate (PMMA) was synthesized using INP-CNGs and further characterized using various analytical techniques. These nanogranules were found to be stable and attractive for vinyl polymerization as it produced > 85% PMMA with a molecular weight (M w ) of 33,310 g/mol and 1.23 polydispersity index (PDI).

Mucosal epithelial tissues are exposed to high numbers of microbes, including commensal fungi, and are able to distinguish between those that are avirulent and those that cause disease. Epithelial cells have evolved multiple mechanisms to defend against colonization and invasion by Candida species. The interplay between mucosal epithelial tissues and immune cells is key for control and clearance of fungal infections. Our understanding of the mucosal innate host defense system has expanded recently with new studies bringing to light the importance of epithelial cell responses, innate T cells, neutrophils, and other phagocytes during Candida infections. Epithelial tissues release cytokines, host defense peptides, and alarmins during Candida invasion that act in concert to limit fungal proliferation and recruit immune effector cells. The innate T cell/IL-17 axis and recruitment of neutrophils are of central importance in controlling mucosal fungal infections. Here, we review current knowledge of the innate immunity at sites of mucosal Candida infection, with a focus on infections caused by C. albicans.