Miracle-dz/UniFAR-FTUs huggingface dataset:
Novel thermoelectric performance of 2D 1T- Se2Te and SeTe2 with ultralow lattice thermal conductivity but high carrier mobility

The design and search for efficient thermoelectric materials that can directly convert waste heat into electricity have been of great interest in recent years since they have practical applications in overcoming the challenges of global warming and the energy crisis. In this work, two new two-dimensional 1T-phase group-VI binary compounds Se2Te and SeTe2 with outstanding thermoelectric performances are predicted using first-principles calculations combined with Boltzmann transport theory. The dynamic stability is confirmed based on phonon dispersion. It is found that the spin–orbit coupling effect has a significant impact on the band structure of SeTe2, and induces a transformation from indirect to direct band gap. The electronic and phononic transport properties of the Se2Te and SeTe2 monolayer are calculated and discussed. High carrier mobility (up to 3744.321 and 2295.413 cm2 V−1 S−1 for electron and hole, respectively) is exhibited, suggesting great applications in nanoelectronic devices. Furthermore, the maximum thermoelectric figure of merit zT of SeTe2 for n-type and p-type is 2.88, 1.99 and 5.94, 3.60 at 300 K and 600 K, respectively, which is larger than that of most reported 2D thermoelectric materials. The surprising thermoelectric properties arise from the ultralow lattice thermal conductivity k l (0.25 and 1.89 W m−1 K−1 for SeTe2 and Se2Te at 300 K), and the origin of ultralow lattice thermal conductivity is revealed. The present results suggest that 1T-phase Se2Te and SeTe2 monolayer are promising candidates for thermoelectric applications.
Cardiometabolic Effects of Irisin in Patients with End-Stage Renal Disease on Regular Hemo- or Peritoneal Dialysis

Introduction: Data on the role of irisin in vascular calcification in patients with end-stage renal diseases on regular dialysis are inconsistent, and the underlying mechanisms are not clearly defined. The present study was designed to explore the association of serum irisin with vascular stiffness and with the impact of well-established risk factors. Methods: The clinical study enrolled 52 hemodialysis (HD) and 15 continuous ambulatory peritoneal dialysis (PD) patients with an age of >18 years receiving dialysis therapy for >3 months. Patients who had major pathologies affecting carbohydrate, lipid, and bone metabolism and those who had acute cardiovascular events were excluded. Thirty-seven healthy subjects matched for age and sex served as controls. Routine biochemical parameters were measured in fasting serum samples by standard methods. Serum irisin was determined using the commercial ELISA kit (BioVendor Laboratory Medicine Inc., Brno, Czech Republic). Arterial stiffness parameters – carotid-femoral pulse wave velocity (cf PWV) and augmentation index (Aix) – were measured using applanation tonometry (SphygmoCor System; AtCor Medical, Sydney, Australia). Body composition was assessed by segmental bioelectric impedance (InBody 2.0; Biospace Co. Ltd., Seoul, Korea). Results: It was demonstrated that serum irisin levels were markedly depressed (p < 0.05), while the cf PWV significantly increased (p < 0.05) in HD/PD patients as compared to controls. Serum irisin proved to be independent of serum insulin, glucose, and HOMA-IR. However, it was inversely related to HbA1c (β = −0.544, p = 0.035), iPTH (β = −0.260, p = 0.035), and alkaline phosphatase (r = −0.325, p = 0.007). Furthermore, significant negative relationships were found of irisin to serum triglyceride and indices of body fat mass. Retrospective analysis at a follow-up period of 40 months revealed a direct relationship of irisin to all-cause mortality (p = 0.039). Conclusions: Our study demonstrated that serum irisin levels are reduced in uremic patients on regular HD/PD but failed to establish significant associations of irisin deficiency with vascular stiffness. However, the significant negative relationship of irisin to HbA1c, iPTH, and alkaline phosphatase suggests that it improves insulin sensitivity, inhibits bone resorption, mitigates bone-vascular interaction, and protects vascular function.
The Effect of Serotonin Receptor 5-HT1B on Lateral Inhibition between Spiny Projection Neurons in the Mouse Striatum

The principal neurons of the striatum, the spiny projection neurons (SPNs), make inhibitory synaptic connections with each other via collaterals of their main axon, forming a local lateral inhibition network. Serotonin, acting via the 5-HT1B receptor, modulates neurotransmitter release from SPN terminals in striatal output nuclei, but the role of 5-HT1B receptors in lateral inhibition among SPNs in the striatum is unknown. Here, we report the effects of 5-HT1B receptor activation on lateral inhibition in the mouse striatum. Whole-cell recordings were made from SPNs in acute brain slices of either sex, while optogenetically activating presynaptic SPNs or fast-spiking interneurons (FSIs). Activation of 5-HT1B receptors significantly reduced the amplitude of IPSCs evoked by optical stimulation of both direct and indirect pathway SPNs. This reduction was blocked by application of a 5-HT1B receptor antagonist. Activation of 5-HT1B receptors did not reduce the amplitude of IPSCs evoked from FSIs. These results suggest a new role for serotonin as a modulator of lateral inhibition among striatal SPNs. The 5-HT1B receptor may, therefore, be a suitable target for future behavioral experiments investigating the currently unknown role of lateral inhibition in the function of the striatum. SIGNIFICANCE STATEMENT We show that stimulation of serotonin receptors reduces the efficacy of lateral inhibition between spiny projection neurons (SPNs), one of the biggest GABAergic sources in the striatum, by activation of the serotonin 5-HT1B receptor. The striatum receives serotonergic input from the dorsal raphe nuclei and is important in behavioral brain functions like learning and action selection. Our findings suggest a new role for serotonin in modulating the dynamics of neural interactions in the striatum, which extends current knowledge of the mechanisms of the behavioral effects of serotonin.
Workplace bullying, burnout, and resilience amongst perioperative nurses in Australia: A descriptive correlational study.

AIM To investigate workplace bullying, and explore correlations between bullying, burnout, and resilience amongst perioperative nurses in Australia. BACKGROUND Workplace bullying in perioperative nursing involves verbal, physical and psychological violence. However, no prior studies have measured Australian perioperative nurses' experiences of workplace bullying nor sought to understand if there is a relationship with burnout, and resilience. METHODS A descriptive correlational study was conducted utilising an online survey incorporating four validated instruments. Descriptive statistics and regression models analysed workplace bullying, burnout, and resilience. RESULTS Over half of perioperative nurses (n = 158/257, 61%) were exposed to workplace bullying. Consequences included fatigue and exhaustion (n = 129/192, 67%), anxiety (n = 123/192, 64%) and sleeplessness (n = 121/192, 63%). Organisational processes (r = 0.458, p<0.001), bullying acts (r = 0.289, p<0.001) and avoidance and withdrawal at work (r = 0.440, p=0.001) increased burnout. Psychosocial distress (r = -0.216, p<0.001) was associated with decreased resilience. CONCLUSIONS Workplace bullying is a persistent issue with negative impacts upon burnout, resilience, and wellbeing. IMPLICATIONS FOR NURSING MANAGEMENT The psychological wellbeing of employees can be prioritised by establishing and maintaining an organisational climate of psychosocial safety. Thereby inhibiting the potential of bullying to manifest and positively influencing employee wellbeing to help promote workplace engagement, productivity, and reduce burnout.
Efficacy of non-invasive brain stimulation interventions in reducing smoking frequency in patients with nicotine dependence: a systematic review and network meta-analysis of randomized controlled trials.

BACKGROUND AND AIMS Nicotine is a highly addictive substance in tobacco products that dysregulates several neurotransmitters in the brain and impairs executive function. Non-invasive brain stimulation (NIBS) methods such as repetitive transcranial magnetic stimulation (rTMS) and transcranial direct current stimulation (tDCS) are promising treatments for nicotine dependence. We investigated the efficacy and acceptability of NIBS in managing smoking cessation through a systematic review and network meta-analysis (NMA). METHODS We conducted a systematic review to identify randomized controlled trials (RCTs) that investigated the efficacy of NIBS for smoking cessation. All pairwise meta-analyses and NMA procedures were conducted using random-effects and frequentist models. The co-primary outcomes were (1) the change in number of cigarettes smoked per day (change in frequency of smoking) in patients with nicotine dependence after NIBS and (2) acceptability (the dropout rate). The effect sizes for co-primary outcomes of change in frequency of smoking and acceptability were assessed according to standardized mean difference (SMD) and odds ratio, respectively. RESULTS Twelve RCTs with 710 participants (mean age: 44.2 years, 31.2% female) were included. Compared with the sham control, 10-Hz rTMS over the left dorsolateral prefrontal cortex (DLPFC) was associated with the largest changes in smoking frequency [SMD = -1.22, 95% confidence interval (95% CI) = -1.77 to -0.66]. The 2-mA bifrontal tDCS (SMD = -0.97, 95% CI = -1.32 to -0.62) and 10-Hz deep rTMS over the bilateral DLPFC with cue provocation (SMD = -0.77, 95% CI = -1.20 to -0.34) were associated with a significantly larger decrease in smoking frequency versus the sham. None of the investigated NIBSs was associated with dropout rates significantly different from those of the sham control groups. CONCLUSION Prefrontal non-invasive brain stimulation interventions appear to reduce the number of cigarettes smoked with good acceptability.
A Stackelberg Game-Theoretic Exploration Rendering Robustness and Optimality for Performance Improvement of Fuzzy Mechanical Systems

We consider mechanical systems with uncertainty. The uncertainty may be time varying. The bound of the uncertainty is described by its fuzzy characteristics. To design a feasible control, we start with a robust phase, which renders a control scheme that guarantees the system performance regardless of the actual value of the uncertainty. This robust phase is then followed by an optimal phase. There are design parameters in the control, which can be fine-tuned. We proposed multiple performance objectives. The goal of the choice of the control design parameters is to minimize the performance objectives. However, since these objectives are nonconciliating (meaning one’s minimum is not the other one’s minimum), we invoke the Stackelberg strategy for the optimal parameters. The game strategy mimics two players: one is the leader and one is the follower. Through the interplay between the two players, we show how to select the design parameters. The design procedure in both robust and optimal phases is demonstrated by a coupled inverted pendulum system.
Complete Genome Sequence of Escherichia coli Sequence Type 1193 Isolate AVS0096, Recovered from River Water in Switzerland

Escherichia coli sequence type 1193 (ST1193) is an important cause of multidrug-resistant extraintestinal infections. Here, we report the complete genome sequence of strain AVS0096, isolated from river water in Switzerland in 2020. The genome consists of a chromosome (4.9 Mbp), a multidrug resistance plasmid (101 kb), and two small plasmids. ABSTRACT Escherichia coli sequence type 1193 (ST1193) is an important cause of multidrug-resistant extraintestinal infections. Here, we report the complete genome sequence of strain AVS0096, isolated from river water in Switzerland in 2020. The genome consists of a chromosome (4.9 Mbp), a multidrug resistance plasmid (101 kb), and two small plasmids.
Microbial Metal Resistance within Structured Environments Is Inversely Related to Environmental Pore Size

Interactions between cells and their structured environments are poorly understood but have significant implications for organismal success in both natural and nonnatural settings. This work used a multidisciplinary approach to develop laboratory models with which the influence of a key parameter of environmental structure—pore size—on cell activities can be dissected. ABSTRACT The physical environments in which microorganisms naturally reside rarely have homogeneous structure, and changes in their porous architecture may have effects on microbial activities that are not typically captured in conventional laboratory studies. In this study, to investigate the influence of environmental structure on microbial responses to stress, we constructed structured environments with different pore properties (determined by X-ray computed tomography). First, using glass beads in different arrangements and inoculated with the soil yeast Saitozyma podzolica, increases in the average equivalent spherical diameters (ESD) of a structure’s porous architecture led to decreased survival of the yeast under a toxic metal challenge with lead nitrate. This relationship was reproduced when yeasts were introduced into additively manufactured lattice structures, comprising regular arrays with ESDs comparable to those of the bead structures. The pore ESD dependency of metal resistance was not attributable to differences in cell density in microenvironments delimited by different pore sizes, supporting the inference that pore size specifically was the important parameter in determining survival of stress. These findings highlight the importance of the physical architecture of an organism’s immediate environment for its response to environmental perturbation, while offering new tools for investigating these interactions in the laboratory. IMPORTANCE Interactions between cells and their structured environments are poorly understood but have significant implications for organismal success in both natural and nonnatural settings. This work used a multidisciplinary approach to develop laboratory models with which the influence of a key parameter of environmental structure—pore size—on cell activities can be dissected. Using these new methods in tandem with additive manufacturing, we demonstrated that resistance of yeast soil isolates to stress (from a common metal pollutant) is inversely related to pore size of their environment. This has important ramifications for understanding how microorganisms respond to stress in different environments. The findings also establish new pathways for resolving the effects of physical environment on microbial activity, enabling important understanding that is not readily attainable with traditional bulk sampling and analysis approaches.
Alterations of Cytochrome P450–Mediated Drug Metabolism during Liver Repair and Regeneration after Acetaminophen-Induced Liver Injury in Mice

Acetaminophen (APAP)-induced liver injury (AILI) is the leading cause of acute liver failure in the United States, but its impact on metabolism, therapeutic efficacy, and adverse drug reactions (ADRs) of co- and/or subsequent administered drugs are not fully investigated. The current work explored this field with a focus on the AILI-mediated alterations of cytochrome P450–mediated drug metabolism. Various levels of liver injury were induced in mice by treatment with APAP at 0, 200, 400, and 600 mg/kg. Severity of liver damage was determined at 24, 48, 72, and 96 hours by plasma levels of alanine aminotransferase (ALT), aspartate aminotransferase (AST), microRNA miR122, and tissue staining. The expression and activities of CYP3A11, 1A2, 2B10, 2C29, and 2E1 were measured. Sedation efficacy and ADRs of midazolam, a CYP3A substrate, were monitored after APAP treatment. ALT, AST, and miR122 increased at 24 hours after APAP treatment with all APAP doses, whereas only groups treated with 200 and 400 mg/kg recovered back to normal levels at 72 and 96 hours. The expression and activity of the cytochromes P450 significantly decreased at 24 hours with all APAP doses but only recovered back to normal at 72 and 96 hours with 200 and 400, but not 600, mg/kg of APAP. The alterations of cytochrome P450 activities resulted in altered sedation efficacy and ADRs of midazolam, which were corrected by dose justification of midazolam. Overall, this work illustrated a low cytochrome P450 expression window after AILI, which can decrease drug metabolism and negatively impact drug efficacy and ADRs. SIGNIFICANCE STATEMENT The data generated in the mouse model demonstrated that expression and activities of cytochrome P450 enzymes and correlated drug efficacy and ADRs are altered during the time course of liver repair and regeneration after liver is injured by treatment with APAP. Dose justifications based on predicted changes of cytochrome P450 activities can achieve desired therapeutic efficacy and avoid ADRs. The generated data provide fundamental knowledge for translational research to drug treatment for patients during liver recovery and regeneration who have experienced AILI.
Quantifying the compressibility of complex networks

Significance Real-world networks are complex, comprising vast webs of interconnected elements performing a diverse array of social and biological functions. Common among many networks, however, is the pressure to be efficiently compressed—either in the brain or in the genetic code. But just as files on a computer can be compressed to differing degrees, what makes one network more compressible than another? To answer this question, we adapt tools from information theory to quantify the compressibility of a network. Studying real-world and model networks, we find that hierarchical organization—with tight clustering and heterogeneous degrees—increases compressibility, enabling compressed representations across scales. Generally, our framework provides an information-theoretic method for investigating the interplay between network structure and compression. Many complex networks depend upon biological entities for their preservation. Such entities, from human cognition to evolution, must first encode and then replicate those networks under marked resource constraints. Networks that survive are those that are amenable to constrained encoding—or, in other words, are compressible. But how compressible is a network? And what features make one network more compressible than another? Here, we answer these questions by modeling networks as information sources before compressing them using rate-distortion theory. Each network yields a unique rate-distortion curve, which specifies the minimal amount of information that remains at a given scale of description. A natural definition then emerges for the compressibility of a network: the amount of information that can be removed via compression, averaged across all scales. Analyzing an array of real and model networks, we demonstrate that compressibility increases with two common network properties: transitivity (or clustering) and degree heterogeneity. These results indicate that hierarchical organization—which is characterized by modular structure and heterogeneous degrees—facilitates compression in complex networks. Generally, our framework sheds light on the interplay between a network’s structure and its capacity to be compressed, enabling investigations into the role of compression in shaping real-world networks.
Remote manipulation of magnetic nanoparticles using magnetic field gradient to promote cancer cell death

The manipulation of magnetic nanoparticles (MNPs) using an external magnetic field, has been successfully demonstrated in various biomedical applications. Some have utilised this non-invasive external stimulus and there is an potential to build on this platform. The focus of this study is to understand the manipulation of MNPs by a time-varying static magnetic field and how, at different frequencies and displacement, this can alter cellular function. Here we explore, using numerical modeling, the physical mechanism which underlies this process, and we discuss potential improvements for its use in biomedical applications. From our data and other related studies, we infer that such phenomenon largely depends on the magnetic field gradient, magnetic susceptibility and size of the MNPs, magnet array oscillating frequency, viscosity of the medium surrounding MNPs, and distance between the magnetic field source and MNPs. Additionally, we demonstrate cytotoxicity in neuroblastoma (SH-SY5Y) and hepatocellular carcinoma (HepG2) cells in vitro induced by MNPs exposed to a magnetic field gradient and oscillating at various frequencies and displacement amplitudes. Even though this technique reliably produces MNP endocytosis and/or cytotoxicity, a better understanding is required to develop this system for precision manipulation of MNPs, ex vivo.
α-Amylase and dipeptidyl peptidase-4 (DPP-4) inhibitory effects of Melicope latifolia bark extracts and identification of bioactive constituents using in vitro and in silico approaches

Abstract Context Melicope latifolia (DC.) T. G. Hartley (Rutaceae) was reported to contain various phytochemicals including coumarins, flavonoids, and acetophenones. Objective This study investigates the antidiabetic and antioxidant effects of M. latifolia bark extracts, fractions, and isolated constituents. Materials and methods Melicope latifolia extracts (hexane, chloroform, and methanol), fractions, and isolated constituents with varying concentrations (0.078–10 mg/mL) were subjected to in vitro α-amylase and dipeptidyl peptidase-4 (DPP-4) inhibitory assay. Molecular docking was performed to study the binding mechanism of active compounds towards α-amylase and DPP-4 enzymes. The antioxidant activity of M. latifolia fractions and compounds were determined by 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging and β-carotene bleaching assays. Results Melicope latifolia chloroform extract showed the highest antidiabetic activity (α-amylase IC50: 1464.32 μg/mL; DPP-4 IC50: 221.58 μg/mL). Fractionation of chloroform extract yielded four major fractions (CF1–CF4) whereby CF3 showed the highest antidiabetic activity (α-amylase IC50: 397.68 μg/mL; DPP-4 IC50: 37.16 μg/mL) and resulted in β-sitosterol (1), halfordin (2), methyl p-coumarate (3), and protocatechuic acid (4). Isolation of compounds 2–4 from the species and their DPP-4 inhibitory were reported for the first time. Compound 2 showed the highest α-amylase (IC50: 197.53 μM) and β-carotene (88.48%) inhibition, and formed the highest number of molecular interactions with critical amino acid residues of α-amylase. The highest DPP-4 inhibition was exhibited by compound 3 (IC50: 911.44 μM). Discussion and conclusions The in vitro and in silico analyses indicated the potential of M. latifolia as an alternative source of α-amylase and DPP-4 inhibitors. Further pharmacological studies on the compounds are recommended.