Miracle-dz/UniFAR-FTUs huggingface dataset:
Deciphering the Action of Neuraminidase in Glioblastoma Models

Glioblastoma (GBM) contains cancer stem cells (CSC) that are resistant to treatment. GBM CSC expresses glycolipids recognized by the A2B5 antibody. A2B5, induced by the enzyme ST8 alpha-N-acetyl-neuraminide alpha-2,8-sialyl transferase 3 (ST8Sia3), plays a crucial role in the proliferation, migration, clonogenicity and tumorigenesis of GBM CSC. Our aim was to characterize the resulting effects of neuraminidase that removes A2B5 in order to target GBM CSC. To this end, we set up a GBM organotypic slice model; quantified A2B5 expression by flow cytometry in U87-MG, U87-ST8Sia3 and GBM CSC lines, treated or not by neuraminidase; performed RNAseq and DNA methylation profiling; and analyzed the ganglioside expression by liquid chromatography–mass spectrometry in these cell lines, treated or not with neuraminidase. Results demonstrated that neuraminidase decreased A2B5 expression, tumor size and regrowth after surgical removal in the organotypic slice model but did not induce a distinct transcriptomic or epigenetic signature in GBM CSC lines. RNAseq analysis revealed that OLIG2, CHI3L1, TIMP3, TNFAIP2, and TNFAIP6 transcripts were significantly overexpressed in U87-ST8Sia3 compared to U87-MG. RT-qPCR confirmed these results and demonstrated that neuraminidase decreased gene expression in GBM CSC lines. Moreover, neuraminidase drastically reduced ganglioside expression in GBM CSC lines. Neuraminidase, by its pleiotropic action, is an attractive local treatment against GBM.
Robust Adaptive Fault-Tolerant Tracking Control for Uncertain Linear Systems With Actuator Failures Based on the Closed-Loop Reference Model

This paper addresses the problem of robust adaptive fault-tolerant tracking control for a class of linear systems with parameter uncertainty, external disturbance, and actuator faults including loss of effectiveness, outage, and stuck. According to the online estimation information provided by adaptive mechanism, a fault-tolerant compensation controller is constructed for robust tracking of closed-loop reference model systems. Compared with the existing results, by introducing the closed loop reference model which provides the additional degree-of-freedom, the transient performance of the systems can be improved. It is shown that the signals of the resulting adaptive closed-loop systems are bounded and the tracking error converges to zero asymptotically. A simulation example is provided to verify the effectiveness of the proposed fault-tolerant design method.
Cardiff Online Cognitive Assessment in a National Sample: Cross-Sectional Web-Based Study

Background Psychiatric disorders are associated with cognitive impairment. We have developed a web-based, 9-task cognitive battery to measure the core domains affected in people with psychiatric disorders. To date, this assessment has been used to collect data on a clinical sample of participants with psychiatric disorders. Objective The aims of this study were (1) to establish a briefer version of the battery (called the Cardiff Online Cognitive Assessment [CONCA]) that can give a valid measure of cognitive ability (“g”) and (2) to collect normative data and demonstrate CONCA’s application in a health population sample. Methods Based on 6 criteria and data from our previous study, we selected 5 out of the original 9 tasks to include in CONCA. These included 3 core tasks that were sufficient to derive a measure of “g” and 2 optional tasks. Participants from a web-based national cohort study (HealthWise Wales) were invited to complete CONCA. Completion rates, sample characteristics, performance distributions, and associations between cognitive performance and demographic characteristics and mental health measures were examined. Results A total of 3679 participants completed at least one CONCA task, of which 3135 completed all 3 core CONCA tasks. Performance on CONCA was associated with age (B=–0.05, SE 0.002; P<.001), device (tablet computer: B=–0.26, SE 0.05; P<.001; smartphone: B=–0.46, SE 0.05; P<.001), education (degree: B=1.68, SE 0.14; P<.001), depression symptoms (B=–0.04, SE 0.01; P<.001), and anxiety symptoms (B=–0.04, SE 0.01; P<.001). Conclusions CONCA provides a valid measure of “g,” which can be derived using as few as 3 tasks that take no more than 15 minutes. Performance on CONCA showed associations with demographic characteristics in the expected direction and was associated with current depression and anxiety symptoms. The effect of device on cognitive performance is an important consideration for research using web-based assessments.
Var Based on Sma, Ewma and Garch(1,1) Volatility Models

Lots of effort has been expended in improving volatility models since better forecasts translate in to better pricing of assets and better risk management. However the question as to what model should be used to calculate volatility, there is no unique answer as different volatility models were proposed in the literature and were being used by practitioners. To answer which VaR model adequately capture the market risk, three VaR models are tested on stock indices from Croatia, Serbia, Slovenia and Macedonia. The tested VaR models are: simple moving average with rolling windows of 50, 74 (proposed by Risk Metrics) and 100 days, EWMA using 0,9, 0,94 (proposed by Risk Metrics) and 0,96 as smoothing constant λ and different windows of 50, 74 and 100 days, and GARCH(1,1). VaR models are calculated for a one-day holding period at 95% and 99% coverage of the market risk. These competing models are evaluated on the basis of BLF error statistics. The challenge of this work is to come up with the best and easily implementable approach suitable to Former Yugoslavian stock exchange markets, especially for Macedonian and apply time series models for calculating Value at Risk.
Inferring Evolutionary Timescale of Omsk Hemorrhagic Fever Virus

Until 2020, there were only three original complete genome (CG) nucleotide sequences of Omsk hemorrhagic fever virus (OHFV) in GenBank. For this reason, the evolutionary rate and divergence time assessments reported in the literature were based on the E gene sequences, but notably without temporal signal evaluation, such that their reliability is unclear. As of July 2022, 47 OHFV CG sequences have been published, which enables testing of temporal signal in the data and inferring unbiased and reliable substitution rate and divergence time values. Regression analysis in the TempEst software demonstrated a stronger clocklike behavior in OHFV samples for the complete open reading frame (ORF) data set (R2 = 0.42) than for the E gene data set (R2 = 0.11). Bayesian evaluation of temporal signal indicated very strong evidence, with a log Bayes factor of more than 5, in favor of temporal signal in all data sets. Our results based on the complete ORF sequences showed a more precise OHFV substitution rate (95% highest posterior density (HPD) interval, 9.1 × 10−5–1.8 × 10−4 substitutions per site per year) and tree root height (416–896 years ago) compared with previous assessments. The rate obtained is significantly higher than tick-borne encephalitis virus by at least 3.8-fold. The phylogenetic analysis and past population dynamics reconstruction revealed the declining trend of OHFV genetic diversity, but there was phylogenomic evidence that implicit virus subpopulations evolved locally and underwent an exponential growth phase.
How Does a Minority Opinion Spread? - An Agent-Based Model on the Opposition Between a Silent Majority and a Loud Minority

In this paper, we propose a discrete opinion model in which two beliefs models compete. One opinion is endorsed bythe vast majority of agents, but this majority remains silent and rarely expresses its opinion. Conversely, the other beliefmodel is supported by a small minority that is very committed and does not hesitate to be loud. We observe that a very smallnumber of individuals is necessary for the minority opinion to become the majority. However, the presence of so-called ”inflexible” and ”super propagators” agents can counteract this phenomenon and prevent the loud minority from propagatingits view.
Intraperitoneal Injection of Human Ferritin Heavy Chain Attenuates the Atherosclerotic Process in APOE-Knockout Mice

Background: Iron overload can accelerate the accumulation of lipid oxides and contribute to the progression of atherosclerosis. Ferritin heavy chain (FT-H) exhibits oxidase activity, which inhibits the toxicity of ferrous ions and reduces oxidative damage. We investigated the effect of the intraperitoneal injection of FT-H on the progression of atherosclerosis in APOE-knockout mice (Apo-E(−/−) mice). Methods: All mice were fed on a high-fat diet. After 10 weeks, the mice were divided into an injection group (n = 4) and a control group (n = 4). The injection group was injected intraperitoneally with FT-H (50 mg/kg, once a week), and the control group was treated with PBS buffer (at an equal volume to the injection group, once a week). After 10 weeks of intervention, MRI of the aortas was performed. Then, the animals were sacrificed, and tissues were taken. Hematoxylin–eosin (HE) staining was used for histomorphometry, Masson staining was used to quantify the collagen content in the arteries, Prussian blue staining was used to visualize iron deposition in the arteries, and MRI was used to analyze the structure of the aorta in vivo. Immunohistochemistry was performed to detect the expression of MCP-1, MMP-2, MMP-9, FT-H, FT-L, TfR1, NRF-2 and GPX-4. Results: The serological results showed that the injection group had lower levels of glucose (Glu), triacylglycerol (TG), cholesterol (CHO), low-density lipoprotein-C (LDL-C) and malondialdehyde (MDA) (p = 0.0058, p = 0.0098, p = 0.0019, p = 0.0368 and p = 0.0025, respectively), and their serum ferritin (SF) and superoxide dismutase (SOD) levels were higher (p = 0.0004 and p < 0.0001). The Masson staining and MRI results showed that the injection group had less collagen deposition (p = 0.0226), a larger arterial lumen area and arterial volume (p = 0.0006 and p = 0.0005), thinner arterial wall thickness (p = 0.0013) and a more stable arterial plaque structure (p < 0.0001). The immunohistochemical results showed reduced expression of FT-H, FT-L, TfR1, MMP-2, MMP-9, MCP-1 and NRF-2 in the injection group (p = 0.0054, p = 0.0242, p = 0.0221, p = 0.0477, p = 0.0131, p = 0.0435 and p = 0.0179). Prussian blue staining showed that the area of iron-positive areas in the aortic plaques of the control group was larger than that of injected group. The expression of GPX-4 was lower in the control group than in the injection group (p = 0.016). Conclusions: The intraperitoneal administration of FT-H to Apo-E(−/−) mice resulted in lower blood glucose and lipid levels; reduced iron and iron metabolism protein deposition in the aorta; reduced indices of their ferroptosis, oxidation and inflammatory aggregation; and reduced collagen deposition in the aorta, which delayed the process of aortic atherosclerosis in mice.
An Augmented Cobb-Douglas Production Function Modeling of the Impact of Climate Change on Maize Yields in Ethiopia

Climate change remains a major problem confronting agricultural productivity in Ethiopia. Maize and some other cereal crops are susceptible to climatic parameters. This study analyzed the impacts of some climatic variables on the yields of maize crops in Ethiopia using the 1981-2018 dataset. Maize production in Ethiopia is adversely affected by climate change. The augmented Cobb-Douglas Production function was used for data analyses. The results showed that the parameters of long-season rainfall, short-season rainfall, and mean maximum temperature show a negative sign and are statistically significant (p<0.05). In contrast, the minimum temperature shows a positive sign. In addition, the parameters of the quantity of fertilizer and improved seed used in maize production have a positive and significant impact on the yields of maize (p<0.10). However, the land area's elasticity coefficient shows a negative and statistically significant sign. It was concluded that changes in climatic parameters, such as an increase in short-season and long-season rainfall and an increase in maximum temperature, would reduce maize productivity. Therefore, utilizing effective climate change adaptation measures promises to enhance maize productivity in Ethiopia.
Viscosity solutions to Hamilton-Jacobi-Bellman equations associated with sublinear L\'evy(-type) processes.

Using probabilistic methods we study the existence of viscosity solutions to non-linear integro-differential equations $$\partial_t u(t,x) - \sup_{\alpha \in I} \bigg( b_{\alpha}(x) \cdot \nabla_x u(t,x) + \frac{1}{2} \text{tr}\left(Q_{\alpha}(x) \cdot \nabla^2_x u(t,x)\right) +\int_{y \neq 0} \big(u(t,x+y)-u(t,x)-\nabla_x u(t,x) \cdot h(y) \big) \, \nu_{\alpha}(x,dy) \bigg) = 0$$ with initial condition $u(0,x)= \varphi(x)$; here $(b_{\alpha}(x),Q_{\alpha}(x),\nu_{\alpha}(x,dy))$, $\alpha \in I$, $x \in \mathbb{R}^d$, is a family of L\'evy triplets and $h$ is some truncation function. The solutions, which we construct, are of the form $u(t,x) = T_t \varphi(x)$ for a sublinear Markov semigroup $(T_t)_{t \geq 0}$ with representation $$T_t \varphi(x) = \mathcal{E}^x \varphi(X_t):= \sup_{\mathbb{P} \in \mathfrak{P}_x} \int_{\Omega} \varphi(X_t) \, d\mathbb{P}$$ where $(X_t)_{t \geq 0}$ is a stochastic process and $\mathfrak{P}_x$, $x \in \mathbb{R}^d$, are families of probability measures. The key idea is to exploit the connection between sublinear Markov semigroups and the associated Kolmogorov backward equation. In particular, we obtain new existence and uniqueness results for viscosity solutions to Kolmogorov backward equations associated with L\'evy(-type) processes for sublinear expectations and Feller processes on classical probability spaces.
Fungal Spectrum and Susceptibility Against Nine Antifungal Agents in 525 Deep Fungal Infected Cases

Background Deep fungal infection has become an important cause of infection and death in hospitalized patients, and this has worsened with increasing antifungal drug resistance. Objective A 3-year retrospective study was conducted to investigate the clinical characteristics, pathogen spectrum, and drug resistance of deep fungal infection in a regional hospital of Guangzhou, China. Methods Non-duplicate fungi isolates recovered from blood and other sterile body fluids of in-patients of the clinical department were identified using biochemical tests of pure culture with the API20C AUX and CHROMagar medium. Antifungal susceptibilities were determined by Sensititre YeastOne® panel trays. Results In this study, 525 patients (283 female, 242 male) with deep fungal infection were included, half of them were elderly patients (≥60 years) (54.67%, n=286). A total of 605 non-repetitive fungi were finally isolated from sterile samples, of which urine specimens accounted for 66.12% (n=400). Surgery, ICU, and internal medicine were the top three departments that fungi were frequently detected. The mainly isolated fungal species were Candida albicans (43.97%, n=266), Candida glabrata (20.00%, n=121), and Candida tropicalis (17.02%, n=103), which contributed to over 80% of fungal infection. The susceptibility of the Candida spp. to echinocandins, 5-fluorocytosine, and amphotericin B remained above 95%, while C. glabrata and C. tropicalis to itraconazole were about 95%, and the dose-dependent susceptibility of C. glabrata to fluconazole was more than 90%. The echinocandins had no antifungal activity against Trichosporon asahi in vitro (MIC90>8 μg/mL), but azole drugs were good, especially voriconazole and itraconazole (MIC90 = 0.25 μg/mL). Conclusion The main causative agents of fungal infection were still the genus of Candida. Echinocandins were the first choice for clinical therapy of Candida infection, followed with 5-fluorocytosine and amphotericin B. Azole antifungal agents should be used with caution in Candida glabrata and Candida tropicalis infections.
Integrated Collection of Patient-Reported Outcomes and Experiences in Children with Kidney and Hematological Diseases: A Pilot Study

We aimed to explore the feasibility and potential relevance of integrated electronic collection of patient-reported outcome and experience measures (PROM and PREM) in children with special healthcare needs (CSHCN) by using the example of children with kidney and hematological diseases. We performed a cross-sectional, single-center study of children <18 years of age. Children (≥10 years) and their parents received Generic PedsQL Core Scale 4.0 and custom PREM surveys to their email addresses via the REDCap platform, and the results were integrated into the hospital’s electronic health records system. A total of 192 patients (98 with kidney diseases and 94 with hematological diseases) were enrolled. The overall response rate was 51%, and the median time for completion of each proxy questionnaire was approximately three minutes. The lowest PROM scores were observed in the emotional and school functioning dimensions. More favorable experiences in the diagnosis establishment process were associated with higher scores in physical, social, school functioning, and total PROM scores. A better evaluation of the hospital’s environment was associated with higher social functioning, while better information provision correlated with higher physical functioning and total PROM scores. Our data indicates that integrated electronic collection of PROMs and PREMs in the population of CSHCN is feasible, but efforts to increase the response rate are needed. The associations between PROMs and PREMs suggest that future studies exploring targeted interventions at the healthcare service level to improve subjective patient outcomes are needed.
Magnetic damping in poly-crystalline Co25Fe75: Ferromagnetic resonance vs. spin wave propagation experiments

We report on the investigation of the magnetic damping of a 10 nm thin, poly-crystalline Co25Fe75 film grown by molecular beam epitaxy. Ferromagnetic resonance (FMR) measurements reveal a low intrinsic magnetic damping αintFMR=(1.5±0.1)×10−3. In contrast, in patterned micrometer wide stripes, spin wave (SW) propagation experiments performed by time resolved scanning magneto-optical Kerr microscopy yield attenuation lengths on the order of 5–8 μm. From this quantity, we deduce an effective magnetic SW damping αeffSW, exp =(3.9±0.3)×10−3. For the system studied, this significant difference between both damping parameters is attributed to the non-negligible extrinsic contributions (local inhomogeneities and two-magnon scattering) to the magnetic losses which manifest themselves as a distinct inhomogeneous FMR linewidth broadening. This explanation is supported by micromagnetic simulations. Our findings prove that poly-crystalline Co25Fe75 represents a promising binary 3d transition metal alloy to be employed in magnonic devices with much longer SW attenuation lengths compared to other metallic systems.We report on the investigation of the magnetic damping of a 10 nm thin, poly-crystalline Co25Fe75 film grown by molecular beam epitaxy. Ferromagnetic resonance (FMR) measurements reveal a low intrinsic magnetic damping αintFMR=(1.5±0.1)×10−3. In contrast, in patterned micrometer wide stripes, spin wave (SW) propagation experiments performed by time resolved scanning magneto-optical Kerr microscopy yield attenuation lengths on the order of 5–8 μm. From this quantity, we deduce an effective magnetic SW damping αeffSW, exp =(3.9±0.3)×10−3. For the system studied, this significant difference between both damping parameters is attributed to the non-negligible extrinsic contributions (local inhomogeneities and two-magnon scattering) to the magnetic losses which manifest themselves as a distinct inhomogeneous FMR linewidth broadening. This explanation is supported by micromagnetic simulations. Our findings prove that poly-crystalline Co25Fe75 represents a promising binary 3d transition metal alloy to be employ.
Economic Evaluation Alongside a Randomized Controlled Trial of Mindfulness-Based Cognitive Therapy in Healthy Adults

Purpose This study aimed to conduct an economic evaluation of mindfulness-based cognitive therapy (MBCT) in healthy participants by performing cost-utility analysis (CUA) and cost-benefit analysis (CBA). Patients and Methods CUA was carried out from a healthcare sector perspective and CBA was from the employer’s perspective in parallel with a randomized controlled trial. Of the 90 healthy participants, 50 met the inclusion criteria and were randomized to the MBCT group (n = 25) or wait-list control group (n = 25). In the CUA, intervention costs and healthcare costs were included, while the mean difference in the change in quality-adjusted life years (QALYs) between the baseline and 16-week follow-up was used as an indicator of effect. Incremental cost-effectiveness ratio (ICER) was produced, and uncertainty was addressed using non-parametric bootstrapping with 5000 replications. In the CBA, the change in productivity losses was reflected as a benefit, while the costs included intervention and healthcare costs. The net monetary benefit was calculated, and uncertainty was handled with 5000 bootstrapping. Healthcare costs were measured with the self-report Health Service Use Inventory. The purchasing power parity in 2019 was used for currency conversion. Results In the CUA, incremental costs and QALYs were estimated at JPY 19,700 (USD 189) and 0.011, respectively. The ICER then became JPY 1,799,435 (USD 17,252). The probability of MBCT being cost-effective was 92.2% at the threshold of 30,000 UK pounds per QALY. The CBA revealed that MBCT resulted in increased costs (JPY 24,180) and improved work productivity (JPY 130,640), with a net monetary benefit of JPY 106,460 (USD 1021). The probability of the net monetary benefit being positive was 69.6%. Conclusion The results suggested that MBCT may be more cost-effective from a healthcare sector perspective and may be cost-beneficial from the employer’s perspective.
Differential Association of Sex Hormones with Metabolic Parameters and Body Composition in Men and Women from the United States

Sex hormones impact body composition. Data on the specific impact of each hormone on different body depots in men and women are scarce. The aim of this study is to evaluate the association between testosterone, estradiol and body fat distribution in the general population. This is a population-based cross-sectional study based on data from the 2013–2016 cycles of the National Health and Nutrition Examination Survey. Dual energy X-ray absorptiometry (DXA) and liquid chromatography tandem mass spectrometry were performed on participants aged 18–59 years to evaluate body composition and sex hormone levels, respectively. Weighted multivariable linear regression analyses were performed to evaluate the association between these parameters after adjustment for potential confounders. A total of 6655 participants (3309 males and 3346 females) was included in the analysis. Men with lower testosterone levels were older, had a higher body mass index (BMI) and had a generally unfavorable metabolic profile, while no specific trends were found in women. Among men, testosterone was positively associated with lean body mass and was negatively associated with fat mass and the android/gynoid (A/G) ratio, while an opposite trend was found for estradiol. Among women, testosterone did not impact body composition, while estradiol levels were positively associated with lean mass and were negatively associated with fat mass. Our results support the notion that the impact of different sex hormones on specific fat depots varies substantially between men and women.