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Soil fertility differences due to tillage methods modulate maize yield formation at different planting densities
A hybrid data assimilation method based on real-time Ensemble Kalman filtering and KNN for COVID-19 prediction
An android can show the facial expressions of complex emotions
Abstract Trust and rapport are essential abilities for human–robot interaction. Producing emotional expressions in the robots’ faces is an effective way for that purpose. Androids can show human-like facial expressions of basic emotions. However, whether androids can show the facial expression of complex emotions remains unknown. In this experiment, we investigated the android Nikola’s ability to produce 22 dynamic facial expressions of complex emotions. For each video, 240 international participants (120 Japanese, 120 German) rated the emotions expressed by Nikola. For 13 complex emotions (i.e., amusement, appal, awe, boredom, contentment, coyness, hatred, hesitation, moral disgust, not face, pain, sleepiness, suspicion), participants of both samples rated the target emotion above the mean of other non-target emotions. Four emotions (bitterness, confusion, pride, relief) were rated above mean by one sample. For twelve of these emotions, target emotions were among the highest ranked. The results suggest that androids can produce the facial expressions of a wide range of complex emotions, which can facilitate human–robot interactions.
EEG reveals brain network alterations in chronic aphasia during natural speech listening
Evaluation of snow-drifting influencing factors and susceptibility of transportation infrastructure lines
SMC translocation is unaffected by an excess of nucleoid associated proteins in vivo
A combined recombinase polymerase amplification CRISPR/Cas12a assay for detection of Fusarium oxysporum f. sp. cubense tropical race 4
Enhancing predictive accuracy for urinary tract infections post-pediatric pyeloplasty with explainable AI: an ensemble TabNet approach
Alterations in genes associated with cytosolic RNA sensing in whole blood are associated with coronary microvascular disease in SLE
Abstract Systemic lupus erythematosus (SLE) patients are 90% women and over three times more likely to die of cardiovascular disease than women in the general population. Chest pain with no obstructive cardiac disease is associated with coronary microvascular disease (CMD), where narrowing of the small blood vessels can lead to ischemia, and frequently reported by SLE patients. Using whole blood RNA samples, we asked whether gene signatures discriminate SLE patients with coronary microvascular dysfunction (CMD) on cardiac MRI (n = 4) from those without (n = 7) and whether any signaling pathway is linked to the underlying pathobiology of SLE CMD. RNA-seq analysis revealed 143 differentially expressed (DE) genes between the SLE and healthy control (HC) groups, with virus defense and interferon (IFN) signaling being the key pathways identified as enriched in SLE as expected. We next conducted a comparative analysis of genes differentially expressed in SLE–CMD and SLE–non-CMD relative to HC samples. Our analysis highlighted differences in IFN signaling, RNA sensing and ADP-ribosylation pathways between SLE–CMD and SLE–non-CMD. This is the first study to investigate possible gene signatures associating with CMD in SLE, and our data strongly suggests that distinct molecular mechanisms underly vascular changes in CMD and non-CMD involvement in SLE.
A disproportionality analysis of FDA adverse event reporting system events for misoprostol
Abstract Misoprostol was originally used to treat gastric ulcers, and has been widely used in abortion, cervical maturation, induced labour and postpartum hemorrhage. But there are still many undetected adverse events (AEs). The purpose of this study was to provide a comprehensive overview of the safety of misoprostol. Adverse events related to misoprostol were collected from the FDA Adverse Event Reporting System (FAERS) database from the first quarter of 2004 to the second quarter of 2024. This study used proportional disequilibrium methods such as reporting odds ratio (ROR), proportional reporting ratio (PRR), Bayesian confidence propagation neural network (BCPNN), and empirical Bayes geometric mean (EBGM) to detect AEs. After analyzing 17,427,762 adverse event reports, a total of 2032 adverse events reports related to misoprostol were identified, involving 23 system organ classes and 30 preferred terms. The most common AEs were foetal exposure during delivery(n = 201), uterine tachysystole(n = 95), uterine rupture (n = 95), and heart rate decreased (n = 93). Although most AEs complied with the drug instruction, new AEs signals such as congenital aqueductal stenosis and congenital brain damage were also identified. Clinicians should make appropriate evaluation when using misoprostol, closely monitor the indicators of patients, and have appropriate countermeasures for possible adverse events.
Evaluating the association between lipidome and female reproductive diseases through comprehensive Mendelian randomization analyses
Secure channel estimation model for cognitive radio network physical layer security using two-level shared key authentication
Abstract Physical Layer Security (PLS) in Cognitive Radio Networks (CRN) improves the confidentiality, availability, and integrity of the external communication between the devices/ users. The security models for sensing and beamforming reduce the impact of adversaries such as eavesdroppers in the signal processing layer. To such an extent, this article introduces a Secure Channel Estimation Model (SCEM) using Channel State Information (CSI) and Deep Learning (DL) to improve the PLS. In this proposed model, the CSI is exploited to evaluate the channel utilization and actual capacity availability throughout the allocation intervals. The change in channel capacity and utilization augments the need for security through 2-level key shared authentication. The deep learning algorithm verifies the authentication completeness for maximum channel capacity utilization irrespective of adversary interference. This verification follows mutual authentication between the primary and secondary users sharing the maximum capacity channel with high secrecy. The learning monitors the outage secrecy rates to verify failed allocations such that the replacement for allocation is pursued. Thus, the physical layer security between different user categories is administered through maximum CSI exploitation with high beamforming abilities. The proposed model leverages the secrecy rate by 10.77% and the probability of detection by 15.01% and reduces the interference rate by 11.07% for the varying transmit powers.
Identification of a binding site for small molecule inhibitors targeting human TRPM4
Abstract Transient receptor potential (TRP) melastatin 4 (TRPM4) protein is a calcium-activated monovalent cation channel associated with various genetic and cardiovascular disorders. The anthranilic acid derivative NBA is a potent and specific TRPM4 inhibitor, but its binding site in TRPM4 has been unknown, although this information is crucial for drug development targeting TRPM4. We determine three cryo-EM structures of full-length human TRPM4 embedded in native lipid nanodiscs without inhibitor, bound to NBA, and an anthranilic acid derivative, IBA. We found that the small molecules NBA and IBA were bound in a pocket formed between the S3, S4, and TRP helices and the S4-S5 linker of TRPM4. Our structural data and results from patch clamp experiments enable validation of a binding site for small molecule inhibitors, paving the way for further drug development targeting TRPM4.
Structural insights into human topoisomerase 3β DNA and RNA catalysis and nucleic acid gate dynamics
Abstract Type IA topoisomerases (TopoIAs) are present in all living organisms. They resolve DNA/RNA catenanes, knots and supercoils by breaking and rejoining single-stranded DNA/RNA segments and allowing the passage of another nucleic acid segment through the break. Topoisomerase III-β (TOP3B), the only RNA topoisomerase in metazoans, promotes R-loop disassembly and translation of mRNAs. Defects in TOP3B lead to severe neurological diseases. We present a series of cryo-EM structures of human TOP3B with its cofactor TDRD3 during cleavage and rejoining of DNA or RNA, thus elucidating the roles of divalent metal ions and key enzyme residues in each step of the catalytic cycle. We also obtained the structure of an open-gate configuration that addresses the long-standing question of the strand-passage mechanism. Our studies reveal how TOP3B catalyzes both DNA and RNA relaxation, while TOP3A acts only on DNA.
New links between auxin and starch
Molecular ferroelectric self-assembled interlayer for efficient perovskite solar cells
Explicit relation between thin film chromatography and column chromatography conditions from statistics and machine learning
Optimizing the growth conditions of superconducting MoSi thin films for single photon detection
Abstract We investigate the growth of amorphous MoSi thin films using magnetron co-sputtering and optimize the growth conditions with respect to crystal structure and superconducting properties (e.g., critical temperature $$T_{\text {c}}$$ ). The deposition pressure, Mo:Si stoichiometry and substrate temperature are systematically varied to achieve a transition temperature of 8.4(3) K for films with a thickness of 17.7(8) nm and 6.2(9) K for a 4.3(4) nm thick film. For Mo concentrations above 81% the crystalline phase $$\hbox {Mo}_\text {3}$$ Mo 3 Si is observed in grazing incidence X-ray diffraction measurements. The same phase appears when the working pressure during deposition is reduced below 3. $$1 \times 10^{\text {-3}}\hspace{1.66656pt}$$ 1 × 10 -3 mbar and when the substrate temperature during deposition is increased above $$100\hspace{1.66656pt}^{\circ } $$ C. By choosing a sufficient Si concentration and optimum deposition pressure we identify deposition conditions that ensure a homogeneous amorphous growth of the superconducting thin film. We then fabricate superconducting nanowire single-photon detectors which exhibit an unitary internal efficiency to single photons at an operational temperature of 1.2 K while simultaneously having a dark count rate below 1 Hz. Our results establish the link between MoSi film deposition, morphology and the performance of SSPD.