Miracle-dz/UniFAR-FTUs huggingface dataset:
Combined treatment with Prunella vulgaris and Radix bupleuri activated the Bax/Bcl-2 and Caspase-3 signal pathways in papillary thyroid carcinoma cells

Abstract To explore the effect of Prunella vulgaris (PV) combined with Radix bupleuri (RB) on apoptosis of papillary thyroid carcinoma cells. Our study was divided into four groups: the control group, the PV group, the RB group, and the PV combined with the RB group. The viability of cells from different treatment groups was assessed by the CCK-8 assay. Cell migration and invasion were assessed by healing wounding and the transwell assay, respectively. Cell apoptosis rate and cell cycle arrest were detected by a flow cytometry assay. The protein expression of Bcl-2, Bax, Caspase-3, CyclinA1, CyclinB1, and CDK1 was detected using a western blot assay. Our results indicated that, compared with the control group, PV combined with RB group could significantly alter the cell morphology, inhibit cell migration and invasion, decrease the number of cells in the G0/G1 phase and increase the number of cells in the G2/M phase, and promote the cell apoptosis. Moreover, PV combined with RB treatment also obviously increased the expression of Bax/Bcl2 and caspase-3 proteins and decreased the expression of Cyclin A1, Cyclin B1, and CDK1 proteins. Overall, our results indicated that PV combined with RB could activate the Bax/Bcl-2 and Caspase-3 signal pathways to induce cell apoptosis in papillary thyroid carcinoma cells; this also provides a new way to treat thyroid cancer.
Relationships between mastery, forgiveness, optimism, and resilience, and PTSD and anxiety during the COVID-19 pandemic

ABSTRACT The COVID-19 pandemic has had devastating emotional consequences. The present study aimed to examine the relationships between personal resources and emotional distress while accounting for COVID-19–related variables. Seven hundred and seventy-seven (N = 777) participants completed demographic, mastery, forgiveness, optimism, resilience, PTSD, and anxiety questionnaires. A stepped hierarchical multiple regression revealed that mastery, forgiveness, cultural group, age, acquaintance with a person who died of COVID-19, and having been infected with COVID-19 contributed significantly to the explained variance in PTSD symptoms. Mastery, forgiveness, optimism, age, and acquaintance with a person who died of COVID-19 contributed significantly to the explained variance in anxiety. However, resilience was not found to significantly contribute to the explained variance in PTSD symptoms or anxiety. This study demonstrates the importance of being aware of both PTSD symptoms and anxiety associated with COVID-19. Thus, it is suggested that therapy programs should pay special attention to mastery and forgiveness as coping resources. In addition, among medical and mental-health personnel awareness should be given to individuals who have been in close acquaintance with those who died of COVID-19, those with COVID-19 risk factors, and those who have been infected. Special attention should also be paid to minority groups as they might tend to experience more emotional distress and trauma symptoms.
Functional analysis of Wolbachia Cid effectors unravels cooperative interactions to target host chromatin during replication

Wolbachia are common bacteria among terrestrial arthropods. These endosymbionts transmitted through the female germline manipulate their host reproduction through several mechanisms whose most prevalent form called Cytoplasmic Incompatibility -CI- is a conditional sterility syndrome eventually favoring the infected progeny. Upon fertilization, the sperm derived from an infected male is only compatible with an egg harboring a compatible Wolbachia strain, this sperm leading otherwise to embryonic death. The Wolbachia Cif factors CidA and CidB responsible for CI and its neutralization function as a Toxin-Antitoxin system in the mosquito host Culex pipiens. However, the mechanism of CidB toxicity and its neutralization by the CidA antitoxin remain unexplored. Using transfected insect cell lines to perform a structure-function analysis of these effectors, we show that both CidA and CidB are chromatin interactors and CidA anchors CidB to the chromatin in a cell-cycle dependent-manner. In absence of CidA, the CidB toxin localizes to its own chromatin microenvironment and acts by preventing S-phase completion, independently of its deubiquitylase -DUB- domain. Experiments with transgenic Drosophila show that CidB DUB domain is required together with CidA during spermatogenesis to stabilize the CidA-CidB complex. Our study defines CidB functional regions and paves the way to elucidate the mechanism of its toxicity.
Transcriptomes reveal microRNAs and mRNAs in different photoperiods influencing cashmere growth in goat

Cashmere goat has a typical characteristic in seasonal growth of cashmere. Studies have shown that one of the main factors affecting the cyclical growth of the cashmere is the photoperiod, however, its molecular mechanism remains unclear. Inner Mongolia Arbas cashmere goat was used to reveal the mRNA-microRNA regulatory mechanisms of cashmere growth in different photoperiod. Skin samples from cashmere goats under light control (short photoperiod) and normal conditions (long photoperiod) were collected. Sequencing was performed after RNA extraction. The differentially expressed miRNA and mRNA expression profiles were successfully constructed. We found 56 significantly differentially expressed known mRNAs (P<0.01) and 14 microRNAs (P<0.05). The association analysis of the microRNAs and mRNAs showed that two differentially expressed miRNAs might be targeted by six differentially expressed genes. Targeting relationships of these genes and miRNAs are revealed and verified. In all, the light control technology provides a new way to promote cashmere growth. Our results provide some references in the cashmere growth and development.
Determination of phytochemical content by LC-MS/MS, investigation of antioxidant capacity, and enzyme inhibition effects of nettle (Urtica dioica).

OBJECTIVE Urtica dioica L. Subsp. dioica is an annual or perennial herbaceous plant belonging to the Urticaceae family that has an important place in ethnobotany. This study aimed to investigate the phytochemical content and the inhibition effect on acetylcholinesterase (AChE), which interact with beta-amyloid to promote the deposition of amyloid plaques and paraoxonase (PON1). This plays a role in the regulation of HDL and LDL and an antiatherogenic, and antioxidant capacity of Urtica dioica. MATERIALS AND METHODS Phytochemical content was determined by the liquid chromatography/mass spectrometry (LC-MS/MS), and to assess the enzyme inhibition and antioxidant capacity the spectrophotometer technique was used. The antioxidant capacity of U. dioica extracts (methanol, hexane, and water) was determined by applying 2,2'-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS•+), 2,2-diphenyl-1-picrylhydrazyl (DPPH•+), ferric reducing antioxidant power (FRAP), and cupric ion reducing antioxidant capacity (CUPRAC) methods. RESULTS The methanol extract of the U. dioica exhibited significant inhibition on the AChE (IC50= 0.098 ± 0.011 mg/mL). However, methanol and water extracts of the U. dioica did not exhibit the inhibition effect on PON1. The highest activity for ABTS•+ was in the hexane extract (55.97%), and for DPPH•+ was in the methanol extract (62.42%). Compared to other solvents (hexane and water), the methanol extract of the U. dioica showed the highest activity for FRAP and CUPRAC methods. Results (as absorbance) were 0.302 for CUPRAC and 0.147 for FRAP in the methanol extract of the U. dioica. The acetohydroxamic acid, gallic acid, caffeic acid, ellagic acid, p-hydroxybenzoic acid, and quercetin were qualified and quantified in LC-MS/MS analyses of Urtica dioica extract. CONCLUSIONS U. dioica, which has antioxidant, anti-atherosclerotic and neuroprotective effects, has a natural medicine potential if compared to synthetic drugs used in Alzheimer's patients.
Design and finite element modeling of a novel optical microsystems-based tactile sensor for minimal invasive robotic surgery

Although recently Minimal Invasive Robotic Surgery (MIRS) has been more addressed because of its wide range of benefits, however there are still some limitations in this regard. In order to address the shortcomings of MIRS systems, various types of tactile sensors with different sensing principles have been presented in the last few years. In the present paper a MEMS-based optical sensor, which has been recently proposed by researchers, is investigated using numerical simulation. By this type of sensors real time quantification of both dynamic and statics contact forces between the tissue and surgical instrument would be possible. The presented sensor has one moving part and works based on the intensity modulation principle of optical fibers. It is electrically-passive, MRI-compatible and it is possible to be fabricated using available standard micro fabrication techniques. The behavior of the sensor has been simulated using COMSOL MULTIPHYSICS 3.5 software. Stress analysis is conducted on the sensor to assess the deflection of the moving part of the sensor due to applied force. The optical simulation is then conducted to estimate the power loss due to the moving part deflection. Using FEM modeling, the relation between force and deflection is derived which is necessary for the calibration of the sensor.
The cluster of differentiation 36 (CD36) rs1761667 polymorphism interacts with dietary patterns to affect cardiometabolic risk factors and metabolic syndrome risk in apparently healthy individuals

Abstract Several studies have examined the association between CD36 rs1761667 polymorphism with cardiometabolic risk factors and metabolic syndrome (MetS). This study aimed to investigate the interactions between rs1761667 polymorphism and dietary patterns on the cardiometabolic risk factors and the risk of MetS in apparently healthy individuals aged 20–70 years. Food consumption data were acquired using a validated semi-quantitative FFQ. Dietary patterns were identified by factor analysis. CD36 rs1761667 was genotyped by PCR-restriction fragment length polymorphism. The gene–diet interaction was detected by the general linear model or logistic regression. Significant or marginally significant interactions were observed between healthy dietary pattern (HDP) and CD36 rs1761667 on weight (P = 0·006), BMI (P = 0·009), waist circumference (P = 0·005), hip circumference (P = 0·06), body muscle percentage (P = 0·02), body fat percentage (P = 0·09), TAG-glucose index (P = 0·057), atherogenic index of plasma (P = 0·07), the risk of MetS (P = 0·02), risk of abdominal obesity (P = 0·02) and elevated blood pressure (P = 0·07). Besides, a gene–diet interaction was detected between the traditional dietary pattern and rs1761667 variants on odds of hypertriglyceridaemia (P = 0·02). The adherence to HDP was associated with a lower weight, BMI and higher odds of HDL-cholesterol only in A-allele carriers. In conclusion, adherence to HDP (a diet with high fibre, fish and dairy products) can be more effective on some cardiometabolic risk factors and risk of MetS components in the A-allele carrier than the GG genotype of rs1761667 polymorphism. However, future studies are required to shed light on this issue.
Inter-ELM filaments and turbulent transport in the Mega-Amp Spherical Tokamak

Results on edge turbulence in periods separating edge localised modes (ELMs), i.e. inter-ELM periods, in Mega-Amp Spherical Tokamak (MAST) are presented. It is shown through combined measurements of fast camera images and reciprocating Langmuir probes that filamentary structures contribute to transport during these periods. Analysis of Dα light emission reveals that inter-ELM filaments are the lowest amplitude fluctuations in the MAST scrape-off layer (SOL) relative to L-mode and ELM filaments. Physical properties such as size, density and mode numbers have also been characterized, along with measurements of the spatio-temporal evolution: inter-ELM filaments are found to rotate in the vicinity of the last closed flux surface and propagate radially outwards. Motion of these filaments is found to depend strongly on plasma density such that with increasing density, there is an enhancement of the radial transport manifested by an increased number of filaments which leave the edge and travel faster into the SOL. Camera images show that intermittent fluctuations in ion saturation current signals correspond to inter-ELM filaments passing the probe. Measured radial e-folding lengths indicate larger decay lengths at higher densities. Similar trends are also obtained in simulations of a filament propagating radially and losing particles on ion parallel loss timescales. Finally, a discussion is presented on how the radial velocity and Isat measurements reported in this paper are used to test the velocity scalings predicted by different theories.
RNA Editing Enzyme ADAR1 Suppresses the Mobility of Cancer Cells via ARPIN

Deamination of adenine or cytosine in RNA, called RNA editing, is a constitutively active and common modification. The primary role of RNA editing is tagging RNA right after its synthesis so that the endogenous RNA is recognized as self and distinguished from exogenous RNA, such as viral RNA. In addition to this primary function, the direct or indirect effects on gene expression can be utilized in cancer where a high level of RNA editing activity persists. This report identified actin-related protein 2/3 complex inhibitor (ARPIN) as a target of ADAR1 in breast cancer cells. Our comparative RNA sequencing analysis in MCF7 cells revealed that the expression of ARPIN was decreased upon ADAR1 depletion with altered editing on its 3’UTR. However, the expression changes of ARPIN were not dependent on 3’UTR editing but relied on three microRNAs acting on ARPIN. As a result, we found that the migration and invasion of cancer cells were profoundly increased by ADAR1 depletion, and this cellular phenotype was reversed by the exogenous ARPIN expression. Altogether, our data suggest that ADAR1 suppresses breast cancer cell mobility via the upregulation of ARPIN.
Detection of the THz waves from the 5m distance

We report on technical aspects connected with detection of the terahertz (THz) waves reflected from a small target which is situated at the distance of 5 meters. Details of experimental setup are presented. An optical parametric oscillator (OPO) was used as a THz nanosecond pulses radiation source and a hot-electron bolometer (HEB) was applied for pulse detection. A method of spectrum calculation from experimental data is described. Measured reflectance spectra of few materials are presented with explanation of the origin of water vapor hole burning in the reflectance spectrum.
Pulsating Jet Impingement Heat Transfer Enhancement

This article presents results from a numerical study of pulsating jet impingement heat transfer. The motivation is to seek conditions offering a significant enhancement compared to steady flow impingement drying. The CFD software package FLUENT was used for simulating slot-type pulsating jet impingement flows with confinement. The parameter study included velocity amplitude ratio, mean jet velocity, and pulsation frequency. The distance from nozzle exit to surface was three times the hydraulic diameter of the nozzle. The Reynolds number based on the nozzle hydraulic diameter and jet temperature was 2,460 with a mean jet velocity of 30 m/s, which is the base case of the numerical experiments. Results showed that time-averaged surface heat transfer increased with increasing velocity amplitude for the same mean jet velocity. Large velocity amplitudes helped enhance heat transfer by two mechanisms: high jet velocity during the positive cycle and strong recirculating flows during the negative cycle. For the cases with different mean jet velocities but the same maximum velocity, time-averaged surface heat flux decreased with decreasing mean jet velocity. As for the effects of pulsation frequency, with high-velocity amplitude ratio, time-averaged surface heat fluxes were at the same level regardless of frequency. However, at low-velocity amplitude ratio, high frequency caused stronger recirculating flows resulting in greater heat transfer compared to the cases with a lower frequency.
Conservative or non-conservative strategy to advance breeding generation? A case study in Eucalyptus benthamii using spatial variation and competition model

Abstract The greatest challenge faced when breeding populations of forest species is to achieve the right equilibrium among genetic gain and no loss of the effective population size. Thus this study aims to define the best thinning strategy to compose a seed orchard of Eucalyptus benthamii to obtain genetic gain maintaining the effective population size. The population of E. benthamii studied consisted of 28 open-pollinated progenies. The diameter at breast height (DBH) and height (H) parameters were determined three years after planting. Measurement data were analyzed and compared using four different mathematical models (with and without competition effect and spatial variation). Strategies considering genetic gain and effective population size were simulated considering the number of families, the number of individuals between families, and the total number of individuals. The mathematical model accounting for the competition effect had the best fit for DBH whereas the model accounting for the environmental variation effect presented the best fit for H. The ranking of BLUPs grouped the families into three clusters (best, intermediate/average, worst/poor families). The strategy that maintains 40 % of the individuals, generates a genetic gain of 13 % in DBH and 8 % in total height while maintaining an effective population size greater than 92 for booth traits.
Bioconvection effect in the Carreau nanofluid with Cattaneo–Christov heat flux using stagnation point flow in the entropy generation: Micromachines level study

Abstract The addition of gyrotactic microbes in the nanoparticles is essential to embellish the thermal efficiency of many systems such as microbial fuel cells, bacteria-powered micro-mixers, micro-volumes like microfluidics devices, enzyme biosensor, and chip-shaped microdevices like bio-microsystems. This analysis investigates the second law analysis in the bioconvection flow of a Carreau nanoliquid through a convectively stretching surface. The heat transports characteristics encountered with Cattaneo–Christove heat flux and thermal radiation. The Buongiorno model is used for nanoliquid, which comprises the Brownian motion and thermophoretic. The appropriate transformation is invoked to change the system of the partial differential equation into ordinary differential equations. Afterward, these equations are classified analytically with the help of the homotopy analysis method. The influence of numerous physical variables is interpreted and elaborated via graphs. The tabular result shows the numerical consequences of different physical flow parameters. It is examined that a more significant Weissenber number We {\rm{We}} results in deprecation in the velocity field. It is appraised that the temperature profile reduces to augment the value of thermal relaxation time. Justification of the current work has existed through previous publishing results. The utilization of Carreau nanoparticles in the shear rate-dependent viscous fluid is of significant importance due to their potential to improve heat and mass transmission.
May thermal imaging be useful in early diagnosis of lower extremities chronic venous disease?

Abstract Introduction: World statistics confirmed that about 40-50% of men and 50-55% of women suffer from chronic venous disease. Currently, the Duplex ultrasound is the leading diagnostic method for chronic venous disease (CVD), but it has some limitations. Therefore, it is important to find a new diagnostic technique that will provide additional parameters, describing not only structural but also early metabolic and functional changes. Materials and Methods: This study aimed to demonstrate the usefulness of the thermal imaging technique in the diagnosis of chronic venous disease. Results were obtained for two groups: 61 patients suffering from the primary chronic venous disease (CVD group) and 30 healthy people (control group). The obtained results compared the thermal imaging parameters to data obtained from the ultrasound examination. Parameters such as the reflux duration and extent of the CEAP classification were correlated with the mean temperature of the limb, the mean temperature of the lesion (determined using two methods), and the thermal range. Based on data obtained during the study, correlation coefficients were calculated for individual parameters. Results: The results obtained show that the mean limb temperature, and especially the mean temperature of a proposed isothermal area, is significantly correlated with the range of reflux. The conducted tests showed the correlation between some thermal and ultrasonic parameters determined by Spearman's coefficient is 0.4 (p < 0.05). Conclusions: Thus, parameters such as the isothermal area and the thermal range may be used as a preliminary quantitative diagnosis, similarly to those derived from the Duplex ultrasound.
Feasible Method for the Assimilation of Satellite-Derived SST with an Ocean Circulation Model

Abstract The surface restoring condition of satellite-derived sea surface temperatures (SSTs) is validated as a feasible assimilation method with an ocean circulation model that incorporates the strongly nonlinear mixed layer model. The restoring treatment is an empirical method for correcting the heat flux in order to pull the predicted SST toward the observed SST; it is referred to as the nudging method in this study. A one-dimensional experiment is conducted to evaluate the skill of the nudging method. The mixed layer model (MLM) used in the experiment is a second-order turbulence closure model that has a strong nonlinearity. The skill of the nudging method is compared with that of an ensemble Kalman filter, which is a statistically optimal method for nonlinear dynamic models. Although the nudging method is statistically suboptimal, the result of the experiment shows that the skill of this method is comparable when using an appropriate restoring time scale. A three-dimensional experiment using an ocean.
Functional aberration of cortical neuronal network induced by Aβ42 oligomer

Alzheimer’s disease (AD) is a multifactorial disorder that affects cognitive functioning, behavior, and neuronal properties. The neuronal dysfunction is primarily responsible for cognitive decline in AD patients, with many causal factors including plaque accumulation of Aβ42. Neural hyperactivity induced by Aβ42 deposition cause abnormalities in neural networks, leading to alterations in synaptic activity and interneuron dysfunction. Even though neuroimaging techniques elucidated the underlying mechanism in the neural connectivity, precise understanding in cellular level is still elusive. Previously, a few multielectrode array studies examined the neuronal network modulation in vitro cultures revealing relevance of ion channels and the chemical modulators in the presence of Aβ42. In this study, we investigated neuronal connectivity and dynamic changes with high density multielectrode array, particularly in relation to network-wide parameter changes over time. By comparing the neuronal network between normal and Aβ42 treated neuronal cultures, it was possible to discover the direct pathological effect of the Aβ42 oligomer altering the network characteristics. The application of graph theory and center of activity trajectory analysis assessed the consolidation and disassociation of neural networks under Aβ42 oligomer exposure over time. This result can enhance our understanding of how neural networks are affected during AD progression.