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PgpP is a broadly conserved phosphatase required for phosphatidylglycerol lipid synthesis
The cytoplasmic membrane of bacteria is composed of a phospholipid bilayer made up of a diverse set of lipids. Phosphatidylglycerol (PG) is one of the principal constituents and its production is essential for growth in many bacteria. All the enzymes required for PG biogenesis in Escherichia coli have been identified and characterized decades ago. However, it has remained poorly understood how gram-positive bacteria perform the terminal step in the pathway that produces this essential lipid. In E. coli, this reaction is mediated by three functionally redundant phosphatases that convert phosphatidylglycerophosphate (PGP) into PG. Here, we show that homologs of these enzymes in Bacillus subtilis are not required for PG synthesis. Instead, we identified a previously uncharacterized B. subtilis protein, YqeG (renamed PgpP), as an essential enzyme required for the conversion of PGP into PG. Expression of B. subtilis or Staphylococcus aureus PgpP in E. coli lacking all three Pgp enzymes supported the growth of the strain. Furthermore, depletion of PgpP in B. subtilis led to growth arrest, reduced membrane lipid staining, and accumulation of PGP. PgpP is broadly conserved among Firmicutes and Cyanobacteria. Homologs are also present in yeast mitochondria and plant chloroplasts, suggesting that this widely distributed enzyme has an ancient origin. Finally, evidence suggests that PgpP homologs are essential in many gram-positive pathogens and thus the enzyme represents an attractive target for antibiotic development.
Cooperative mechanisms of oxide ion conduction in tellurites with secondary bond interactions and Grotthuss-like processes
Abstract Oxide-ion conducting materials are gaining considerable attention in various applications ranging from oxide fuel cells to oxygen permeation membranes. The oxide ion migration mechanisms are the basis for designing oxide-ion conducting materials. Here, enlightened by proton diffusion in hydrogen-bond networks, we report the coordination polyhedra cooperative mechanism with similar Grotthuss process of oxide ion migration in tellurites. Bi2Te2O7 and Bi2Te4O11 were selected due to their abundance of secondary bonds similar to hydrogen bonds and show high oxide ionic conductivity as mixed electronic and ionic conductors. Neutron total scattering experiments with reverse Monte Carlo simulations indicated that the oxide ion migration in those two tellurites is a synergetic effect of mutual transition between Te-O secondary bonds and covalent bonds assisted by Te-O polyhedra rotation. This detailed investigation of the cooperative mechanism with similar Grotthuss process at the atomic scale provides a direction for optimization and discovering oxide ion conducting materials.
A novel aggregated coefficient ranking based feature selection strategy for enhancing the diagnosis of breast cancer classification using machine learning
Abstract Effective Breast cancer (BC) analysis is crucial for early prognosis, controlling cancer recurrence, timely medical intervention, and determining appropriate treatment procedures. Additionally, it plays a significant role in optimizing mortality rates among women with breast cancer and increasing the average lifespan of patients. This can be achieved by performing effective critical feature analysis of the BC by picking superlative features through significant ranking-based Feature Selection (FS). Various authors have developed strategies relying on single FS, but this approach may not yield excellent results and could lead to various consequences, including time and storage complexity issues, inaccurate results, poor decision-making, and difficult interpretation of models. Therefore, critical data analysis can facilitate the development of a robust ranking methodology for effective feature selection. To solve these problems, this paper suggests a new method called Aggregated Coefficient Ranking-based Feature Selection (ACRFS), which is based on tri chracteristic behavioral criteria. This strategy aims to significantly improve the ranking for an effective Attribute Subset Selection (ASSS). The proposed method utilized computational problem solvers such as chi-square, mutual information, correlation, and rank-dense methods. The work implemented the introduced methodology using Wisconsin-based breast cancer data and applied the Synthetic Minority Oversampling Technique (SMOTE) to the obtained data subset. Later, we employed models such as decision trees, support vector machines, k-nearest neighbors, random forests, stochastic gradient descent, and Gaussian naive bayes to determine the type of cancer. The classification metrics such as accuracy, precision, recall, F1 score, kappa score, and Matthews coefficient were utilized to evaluate the effectiveness of the suggested ACRFS approach. The proposed method has demonstrated superior outcomes with fewer features and a minimal time complexity.
Bubble coalescence principle in saline water
Bubbles present in saline water typically exhibit a prolonged lifetime, making them attractive for various engineering processes. Herein, we unveil a transition from delayed bubble coalescence to rapid bursting within about one millisecond in salty solutions. The key aspect in understanding this transition lies in the combined influences of surface deformation and ion surface excess instead of characterizing the ions alone. Only with a sufficiently deformed region trapped between the colliding bubble and fluid surfaces can the coalescence inhibition effect be maintained to cause the bouncing behavior. Thus, we quantify a consistent upper limit of ion transfer content required for instant coalescence under different salty conditions. Furthermore, we present numerical ranges associated with different bubble behaviors in terms of E o , R e , and W e and determine the critical values to predict bubble dynamics. Our findings shed light on the bubble coalescence principle in saline water and allow access to the regulation of coalescence time based on the requirement of technological applications.
Lipoic acid-boronophenylalanine-derived multifunctional vesicles for cancer chemoradiotherapy
Sphingosine kinase 1 promotes M2 macrophage infiltration and enhances glioma cell migration via the JAK2/STAT3 pathway
Discrete coordination nanochains based on photoluminescent dyes reveal intrachain exciton migration dynamics
First detection and phylogenetic analysis of Trypanosoma species in European wolves and bears: discovery of novel haplotypes
The misalignment of incentives in academic publishing and implications for journal reform
For most researchers, academic publishing serves two goals that are often misaligned—knowledge dissemination and establishing scientific credentials. While both goals can encourage research with significant depth and scope, the latter can also pressure scholars to maximize publication metrics. Commercial publishing companies have capitalized on the centrality of publishing to the scientific enterprises of knowledge dissemination and academic recognition to extract large profits from academia by leveraging unpaid services from reviewers, creating financial barriers to research dissemination, and imposing substantial fees for open access. We present a set of perspectives exploring alternative models for communicating and disseminating scientific research. Acknowledging that the success of new publishing models depends on their impact on existing approaches for assigning academic credit that often prioritize prestigious publications and metrics such as citations and impact factors, we also provide various viewpoints on reforming academic evaluation.
NAPTUNE: nucleic acids and protein biomarkers testing via ultra-sensitive nucleases escalation
Multi-slotted airfoil design for enhanced aerodynamic performance and economic efficiency
Abstract Recently, slotted airfoils have been introduced as a passive flow control approach. The slotted airfoil method resulted in stall delay and enhanced the lift coefficient. The single-slot airfoil is unable to delay stall if the flow is injected downstream of the separation point at the stall angle of attack. A multi-slot airfoil ensures air is injected along the airfoil suction side, delaying stalls over a large range of AOA. The current study focuses on enhancing wind turbine blades’ efficiency by utilizing a novel multi-slot NACA23012C airfoil design as a passive control approach. A numerical study of the optimal grid number was carried out, followed by validating the numerical model with previous experimental results in the literature. The numerical study is followed by a study of the effect of the number of airfoil slots: one, two, three, four, five, and six. The characteristics of the flow field were analyzed to explain the benefit of applying multi-slotted on the aerodynamic performance of an airfoil with a high AOA at Reynolds number 2.74 × 105. The findings showed a significant improvement in the lift coefficient values and the delayed stall AOA for multi-slot airfoils compared to the clean and single-slot airfoils. Increasing the slots number is effective up to four slots. The four-slot airfoil improved lift by 15.8%, and the two slots achieved a 22.31% CL/CD increase. Future work could optimize slot geometry, validate findings experimentally, and study dynamic and 3D effects.
No gender differences in attraction to young partners: A study of 4,500 blind dates
In mixed-gender couples, men are older than women on average. Scholars and laypeople presume that this arrangement reflects mirrored preferences such that men desire younger partners and women desire older partners. Nevertheless, relevant published data on in-person romantic evaluations—that is, studies where adults interact in person and report their initial attraction to each other—are nearly nonexistent. We examined the association of a partner’s age with romantic desire ( N = 9,084 dyadic reports) among N = 6,262 blind daters who used a matchmaking service in hopes of finding a long-term partner. Preregistered tests revealed that people were (slightly) attracted to younger partners on average—and this association did not differ by gender. Conclusions were identical if we examined a) age difference from one’s own age, and b) a dataset limited to women 40-and-under and mixed-gender dates. Furthermore, participant’s self-reported “upper-age limits” played no meaningful role: Participants had a modest preference for youth overall, but it did not matter whether the partner’s age fell below or above this personal maximum. We discuss the implications of the nonexistent initial-attraction gender difference for the age difference in mixed-gender couples.
Suppressing recurrence in Sonic Hedgehog subgroup medulloblastoma using the OLIG2 inhibitor CT-179
Impact of geriatric nutritional risk index and diabetes mellitus on prognosis in ischaemic heart failure with reduced ejection fraction
Managing protected areas takes a village
The autophagy component LC3 regulates lymphocyte adhesion via LFA1 transport in response to outside-in signaling
Repetitive stability study of remdesivir/cyclodextrin complex on the international space station
Abstract Stability assessment of drugs in space is particularly important for future missions. In space there are multiple factors, such as the variability of the conditions (radiation, microgravity, vacuum etc.) that could affect the reliability and reproducibility of the data. Therefore, we investigated the stability of an anti-Covid drug formulation, Remdesivir (RDV) sulfobutylether-beta-cyclodextrin (SBECD) complex, in two separate flight experiments on the International Space Station (ISS). While HPLC/MS studies revealed no degradation of the cyclodextrin excipient in any of the samples investigated in both missions, RDV purity analysis of the RDV/SBECD complex after the first mission revealed different stabilities and altered degradation in space and on Earth. This latter interesting finding was not supported by the second mission, where no differences in the drug stabilities were identified. This anomaly highlighted the importance of standardization together with increased control of the variable parameters during the entire space missions and the terrestrial control experiments.
Carbonate fluorapatite coatings on phillipsite represent a significant sink of phosphorus in abyssal plains of the western Pacific Ocean
As an essential micronutrient, phosphorus plays a key role in oceanic biogeochemistry, with its cycling intimately connected to the global carbon cycle and climate change. Authigenic carbonate fluorapatite (CFA) has been suggested to represent a significant phosphorus sink in the deep ocean, but its formation mechanisms in oceanic low-productivity settings remain poorly constrained. Applying X-ray absorption near edge structure, transmission electron microscopy, and laser ablation inductively coupled plasma mass spectrometer analyses, we report a unique mineral assemblage where CFA crystals coat phillipsite in abyssal sediments of the East Mariana Basin and the Philippine Sea. This finding suggests that phillipsite provides an ideal microenvironment for CFA formation due to its ability to release calcium cations and its strong adsorption capacity for phosphate anions. The feasibility of such a mechanism was confirmed by long-term (10 mo) laboratory experiments. Furthermore, the CFA forming in the sediment of abyssal plains is found to be enriched in rare earth elements (REE). The previously unrecognized mechanism of CFA formation may therefore not only contribute to the cycling of phosphorus in oceanic low-productivity environments but may also represent a significant sink of REE.