Miracle-dz/UniFAR-FTUs huggingface dataset:
c-Src Increases the Sensitivity to TKIs in the EGFR-Mutant Lung Adenocarcinoma

c-Src and the epidermal growth factor receptor (EGFR) are key apical kinases that govern cell responses to microenvironmental cues. How c-Src affects EGFR-related signaling and targeted therapy remains elusive. Initially, caspase-8 phosphorylated at tyrosine 380 by c-Src predominantly enhancing c-Src activation to facilitate metastasis through attaining epithelial-mesenchymal transition (EMT) phenotype in lung adenocarcinoma. Mechanistically, the linkage of c-Src SH2 domain with phosphotyrosine 380 of caspase-8 and SH3 domain with “PDEP” motif of caspase-8 overactivates c-Src as compared with other c-Src-partner proteins. c-Src is incapable of triggering EGFR-related signaling. This is reflected by the levels of phosphotyrosine 1068, 1086, and 1145, which have no impact on c-Src activation. Tyrosine kinase inhibitors (TKIs) suppress EGFR-related signaling to yield cell deaths of lung adenocarcinoma by both necroptosis and intrinsic apoptosis. Given that c-Src activation is frequent in lung adenocarcinoma, blocking c-Src activation through dasatinib can seal the survival-signaling-related phosphotyrosines of EGFR by its SH2 domain, which in turn increases the antitumor activity of TKIs in EGFR-mutant lung adenocarcinoma. Collectively, c-Src inactivation by dasatinib administration sensitizes EGFR-mutant lung adenocarcinoma to TKIs.
Moringa oleifera Supplementation Improves Antioxidant Status and Biochemical Indices by Attenuating Early Pregnancy Stress in Beetal Goats

This study investigated the effects of supplementing different levels of Moringa oleifera leaf powder (MOLP) on antioxidant status and blood biochemical indices during early gestation in Beetal goats. A total of 30 goats were randomly divided into three groups (n = 10) comprising control (basal diet without MOLP), the 1.6% MOLP supplemented group (basal diet + 1.6% MOLP), and the 3.2% MOLP supplemented group (basal diet + 3.2% MOLP). The experiment started 5 days before estrus synchronization and lasted till day 60 of gestation. The MOLP significantly increased plasma flavonoids in 1.6% as well as 3.2% supplemented group on days 40 and 60 of pregnancy, while total phenolic contents were observed to be higher in the 3.2% MOLP supplemented group throughout the experiment in comparison with the control group. The supplementation improved plasma total antioxidant capacity (TAC) by decreasing malondialdehyde (MDA) and total oxidant status (TOS) in contrast to the control group. The activities of superoxide dismutase (SOD) and peroxidase (POD) were enhanced in both supplemented groups, whereas catalase (CAT) activity was noticed to be significantly high in the 3.2% MOLP supplemented group. The protein contents were significantly elevated with 1.6 and 3.2% supplementation levels from day 40 to day 60 of the experiment. Plasma sugar level, carotenoids, progesterone profile, and hydrolytic (protease and amylase) enzymes activities were improved only when supplemented with 3.2% MOLP. The findings suggest that supplementing with 3.2% MOLP provides beneficial effects on early pregnancy stress in Beetal goats.
Genetically Predicted Fibroblast Growth Factor 23 and Major Cardiovascular Diseases, Their Risk Factors, Kidney Function, and Longevity: A Two-Sample Mendelian Randomization Study

Introduction Fibroblast growth factor 23 (FGF23), a potential biomarker for kidney function, is related to cardiovascular disease (CVD) and diabetes, although it is unclear whether the relation is causal. This study evaluated the associations of genetically predicted FGF23 with major CVDs, their risk factors, kidney function, and longevity using Mendelian randomization (MR). Methods This is a two-sample MR study using summary statistics from large genome-wide association studies. Primary outcomes included coronary artery disease (CAD), myocardial infarction, heart failure, and atrial fibrillation. Secondary outcomes included cardiovascular risk factors, kidney function, and longevity. We used four single-nucleotide polymorphisms (SNPs) predicting FGF23, excluding rs2769071 in the ABO gene, which likely violates the MR exclusion-restriction assumption. We used inverse-variance weighted (IVW) as the primary statistical method to assess associations of FGF23 with the outcomes. Sensitivity analyses included weighted median (WM) and MR-Egger. We repeated the analyses including all five SNPs. Last, we validated the positive findings from the main analyses in a smaller study, i.e., FinnGen. Results Using IVW, genetically predicted higher FGF23 was inversely associated with risk of CAD [odds ratio (OR): 0.69 per logtransformed FGF23 (pg/ml) increase, 95% confidence interval (CI): 0.52–0.91] and type 2 diabetes mellitus (T2DM) (OR: 0.70, 95% CI: 0.52–0.96), but not with the other outcomes. The WM and MR-Egger estimates were directionally consistent. Conclusion This study suggests that genetically predicted higher FGF23 may be protective against CAD and T2DM. Future studies should explore the underlying mechanisms related to the potential protective effect of FGF23. FGF23 was unlikely a cause of poorer renal function.
SARS-CoV-2 Susceptibility and COVID-19 Mortality Among Older Adults With Cognitive Impairment: Cross-Sectional Analysis From Hospital Records in a Diverse US Metropolitan Area

Introduction: Persistent knowledge gaps exist as to the extent that preexisting cognitive impairment is a risk factor for susceptibility to severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and mortality from the coronavirus disease 2019 (COVID-19). Methods: We conducted a cross-sectional analysis of adults tested for SARS-CoV-2 at a tertiary healthcare system. Cognitive impairment was identified utilizing diagnosis codes (mild cognitive impairment, Alzheimer's disease, vascular, and other dementias) or cognitive impairment-specific medication use. Propensity score (PS) matched analyses were utilized to report odds ratios (OR) and 95% confidence intervals (CI) for association of cognitive impairment with SARS-CoV-2 susceptibility and COVID-19 mortality. Results: Between March-3rd and December-11th, 2020, 179,979 adults were tested, of whom 21,607 (12.0%) tested positive. We identified 6,364 individuals with preexisting cognitive impairment (mean age: 78.5 years, 56.8% females), among whom 843 (13.2%) tested positive and 139 (19.5%) of those hospitalized died. In the pre-PS matched cohort, cognitive impairment was significantly associated with increased SARS-CoV-2 susceptibility (OR, CI: 1.12, 1.04–1.21) and COVID-19 mortality (OR, CI: 2.54, 2.07–3.12). One-to-one matches were identified for 6,192 of 6,364 (97.3%) individuals with prior cognitive impairment and 687 of 712 (96.5%) hospitalized patients with prior cognitive impairment. In the fully balanced post-matched cohort, preexisting cognitive impairment was significantly associated with higher likelihood of SARS-CoV-2 infection (OR, CI: 1.51, 1.35–1.70); however, cognitive impairment did not confer higher risk of COVID-19 mortality (OR, CI: 0.96, 0.73–1.25). Discussion: To mitigate the effects of healthcare catastrophes such as the COVID-19 pandemic, strategies for targeted prevention and risk-stratified comorbidity management are warranted among the vulnerable sub-population living with cognitive impairment.
Case Report: Infection With SARS-CoV-2 in the Presence of High Levels of Vaccine-Induced Neutralizing Antibody Responses

We present a case of SARS-CoV-2 B.1. 525 infection in a healthcare worker despite the presence of highly neutralizing, multivariant-specific antibodies 7 weeks after full vaccination with the mRNA vaccine BNT162b2. We show that the virus replicated to high levels in the upper respiratory tract over the course of several days in the presence of strong antibody responses. The virus was readily propagatable in vitro, demonstrating the potential to transmit to others, bolstered by the fact that several household members were equally infected. This highlights the importance of protective measures even in vaccinated individuals.
Nonlocal Problem for a Third-Order Equation with Multiple Characteristics with General Boundary Conditions

The article considers third-order equations with multiple characteristics with general boundary value conditions and non-local initial data. A regular solution to the problem with known methods is constructed here. The uniqueness of the solution to the problem is proved by the method of energy integrals. This uses the theory of non-negative quadratic forms. The existence of a solution to the problem is proved by reducing the problem to Fredholm integral equations of the second kind. In this case, the method of Green’s function and potential is used.
Rapid Selective Etching of PMMA Residues from Transferred Graphene by Carbon Dioxide

During chemical-vapor-deposited graphene transfer onto target substrates, a polymer film coating is necessary to provide a mechanical support. However, the remaining polymer residues after organic solvent rinsing cannot be effectively removed by the empirical thermal annealing in vacuum or forming gas. Little progress has been achieved in the past years, for little is known about the chemical evolution of the polymer macromolecules and their interaction with the environment. Through in situ Raman and infrared spectroscopy studies of PMMA transferred graphene annealed in nitrogen, two main processes are uncovered involving the polymer dehydrogenation below 200 °C and a subsequent depolymerization above 200 °C. Polymeric carbons over the monolayer graphitic carbon are found to constitute a fundamental bottleneck for a thorough etching of PMMA residues. The dehydrogenated polymeric chains consist of active C═C bonding sites that are readily attacked by oxidative gases. The combination of Raman spectroscopy, .
Atomistic Prediction of Sorption Free Energies of Cationic Aromatic Amines on Montmorillonite: A Linear Interaction Energy Method

Molecular dynamics (MD) simulations were performed to calculate free energies of sorption (ΔGsorb) of cationic aromatic amines to Ca-montmorillonite. We applied the linear interaction energy (LIE) method, well-established in the biochemistry field, to derive ΔGsorb. We obtained a mean average error of 0.3 kcal mol–1 within the compound training set and an error of 0.41 kcal mol–1 for a validation test set. We were able to reproduce absolute ΔGsorb values for a variety of compound structures, including the zwitterionic antibiotic oxytetracycline. MD simulations also provided atomistic level insights into the underlying driving forces that modulate sorption. Importantly, our approach provides a compelling alternative to polyparameter linear free energy relationship methods, which have shown limited success in capturing the sorption of ionogenic compounds with polar and/or charged moieties. We conclude that the LIE method can be used as a robust and tractable method to predict ΔGsorb within families of organ.
Virtual Reality and Augmented Reality in Ophthalmology: A Contemporary Prospective

Supplemental Digital Content is available in the text Purpose: Most published systematic reviews have focused on the use of virtual reality (VR)/augmented reality (AR) technology in ophthalmology as it relates to surgical training. To date, this is the first review that investigates the current state of VR/AR technology applied more broadly to the entire field of ophthalmology. Methods: PubMed, Embase, and CINAHL databases were searched systematically from January 2014 through December 1, 2020. Studies that discussed VR and/or AR as it relates to the field of ophthalmology and provided information on the technology used were considered. Abstracts, non–peer-reviewed literature, review articles, studies that reported only qualitative data, and studies without English translations were excluded. Results: A total of 77 studies were included in this review. Of these, 28 evaluated the use of VR/AR in ophthalmic surgical training/assessment and guidance, 7 in clinical training, 23 in diagnosis/screening, and 19 in treatment/therapy. 15 studies used AR, 61 used VR, and 1 used both. Most studies focused on the validity and usability of novel technologies. Conclusions: Ophthalmology is a field of medicine that is well suited for the use of VR/AR. However, further longitudinal studies examining the practical feasibility, efficacy, and safety of such novel technologies, the cost-effectiveness, and medical/legal considerations are still needed. We believe that time will indeed foster further technological advances and lead to widespread use of VR/AR in routine ophthalmic practice.
Risk assessment of malignancy in solitary pulmonary nodules in lung computed tomography: a multivariable predictive model study

Abstract Background: Computed tomography images are easy to misjudge because of their complexity, especially images of solitary pulmonary nodules, of which diagnosis as benign or malignant is extremely important in lung cancer treatment. Therefore, there is an urgent need for a more effective strategy in lung cancer diagnosis. In our study, we aimed to externally validate and revise the Mayo model, and a new model was established. Methods: A total of 1450 patients from three centers with solitary pulmonary nodules who underwent surgery were included in the study and were divided into training, internal validation, and external validation sets (n = 849, 365, and 236, respectively). External verification and recalibration of the Mayo model and establishment of new logistic regression model were performed on the training set. Overall performance of each model was evaluated using area under receiver operating characteristic curve (AUC). Finally, the model validation was completed on the validation data set. Results: The AUC of the Mayo model on the training set was 0.653 (95% confidence interval [CI]: 0.613–0.694). After re-estimation of the coefficients of all covariates included in the original Mayo model, the revised Mayo model achieved an AUC of 0.671 (95% CI: 0.635–0.706). We then developed a new model that achieved a higher AUC of 0.891 (95% CI: 0.865–0.917). It had an AUC of 0.888 (95% CI: 0.842–0.934) on the internal validation set, which was significantly higher than that of the revised Mayo model (AUC: 0.577, 95% CI: 0.509–0.646) and the Mayo model (AUC: 0.609, 95% CI, 0.544–0.675) (P < 0.001). The AUC of the new model was 0.876 (95% CI: 0.831–0.920) on the external verification set, which was higher than the corresponding value of the Mayo model (AUC: 0.705, 95% CI: 0.639–0.772) and revised Mayo model (AUC: 0.706, 95% CI: 0.640–0.772) (P < 0.001). Then the prediction model was presented as a nomogram, which is easier to generalize. Conclusions: After external verification and recalibration of the Mayo model, the results show that they are not suitable for the prediction of malignant pulmonary nodules in the Chinese population. Therefore, a new model was established by a backward stepwise process. The new model was constructed to rapidly discriminate benign from malignant pulmonary nodules, which could achieve accurate diagnosis of potential patients with lung cancer.
Deep Learning for Retinal Image Quality Assessment of Optic Nerve Head Disorders

Supplemental Digital Content is available in the text Abstract Deep learning (DL)-based retinal image quality assessment (RIQA) algorithms have been gaining popularity, as a solution to reduce the frequency of diagnostically unusable images. Most existing RIQA tools target retinal conditions, with a dearth of studies looking into RIQA models for optic nerve head (ONH) disorders. The recent success of DL systems in detecting ONH abnormalities on color fundus images prompts the development of tailored RIQA algorithms for these specific conditions. In this review, we discuss recent progress in DL-based RIQA models in general and the need for RIQA models tailored for ONH disorders. Finally, we propose suggestions for such models in the future.
Shear and Extensional Rheology of Polystyrene Melts and Solutions with the Same Number of Entanglements

We investigate the nonlinear shear and uniaxial extensional rheology of entangled polystyrene (PS) melts and solutions having the same number Z of entanglements, hence identical linear viscoelasticity. While experiments in extensional flows confirm that PS melts and solutions with the same Z behave differently, respective transient and steady data in simple shear over the largest possible range of rheometric shear rates (corresponding to Rouse−Weissenberg numbers from 0.01 to 40) demonstrate that melts and solutions exhibit identical behavior. Whereas the differences between melts and solutions in elongational flows are due to alignment-induced friction reduction (more effective in melts than in solutions), in shear flows they disappear since the rotational component reduces monomeric alignment substantially. Recent molecular dynamics simulations of entangled polymers show that rotation induces molecular tumbling at high shear rates, and here a tube-based model involving tumbling effects is proposed in or.
Structure and Optical Properties of Cu-doped SnS Thin Films Prepared by PLD

Cu doped Sn S thin films were grown on the glass substrates by pulsed laser deposition.The targets were pressed by the mixture of Sn S and Cu2 S powder( Cu and Sn molar ratios were 0%,2. 5%,5%,7. 5%,and 10%,respectively). The effects of Cu doping content on the microstructural,morphological,optical and electrical properties of Sn S thin films were studied by X-ray diffraction( XRD),laser Raman spectrometry,atomic force microscopy( AFM),ultraviolet-visiblenear infrared spectrophotometer( UV-Vis-NIR),and Keithley 4200-SCS semiconductor parameter analyzer. The results show that the films grow preferentially oriented in( 111) plane,and Sn S∶ 5% Cu film has the excellent crystalline and Raman characteristic peaks. With the increasing of Cu doping content,the average particle sizes of the films increase. The absorption coefficient of the film in the visible region is the order of 105cm- 1for different Cu doping content. The direct band gap of Sn S∶5% Cu film is 2. 23 e V,and the ratio of photo-conductivity to dark-conductivity is 2. 59. Finally,pSn S∶ Cu / n-Zn S heterojuction device was fabricated on the glass substrate. The device exhibits good rectifying behaviors in dark and under illumination,and weak photovoltaic properties.
Numerical Simulation of an Axisymmetric Compound Droplet by Three-Fluid Front-Tracking Method

We develop a three-fluid front-tracking method in order to simulate the motion of an axisymmetry compound droplet, which consists of three immis- cible fluids separated by two different interfaces. The two interfaces of the com- pound droplet are represented by two different sets of the front-tracking elements immersed on the Eulerian grid mesh, where the velocities and the pressure are calculated. The density and viscosity profiles with jumps at the interfaces are suc- cessfully determined from the location and the connection information of the front- tracking elements. The motion of a compound droplet is simulated on axisymmetric cylindrical coordinates. The results show that the three-fluid front tracking method works appropriately for the motion of a compound droplet. Stability of a spherical compound droplet is examined numerically and the stable position is found from the simulations.
Comparison of [

Introduction The low sensitivity of [18F]-fluorodeoxyglucose ([18F]-FDG) for the diagnosis of gastric cancer limits its application. In this study, we aimed to investigate the potential advantage of [68 Ga]Ga-FAPI-04 over [18F]-FDG in the evaluation of gastric cancer. Methods This was a bicentric retrospective analysis of a prospective parent study (clinical trial: HS-KY-2020–826 (Huashan Hospital) and DF-2020–102 (Shanghai East Hospital)). Thirty-eight patients with gastric cancer (31 with adenocarcinoma and 7 with signet ring cell carcinoma) were included in this study. All of the participants underwent [68 Ga]Ga-FAPI-04 and [18F]-FDG imaging by positron emission tomography (PET)/computed tomography (CT) or PET/magnetic resonance (MR). The scans were interpreted by two experienced nuclear medicine physicians, and the maximum standardized uptake value (SUVmax) was calculated. Histopathological findings obtained from biopsy or resected surgical specimens were used as a reference for the final diagnosis. Results For the detection of primary gastric cancer, the sensitivities of [68 Ga]Ga-FAPI-04 PET and [18F]-FDG PET were 100% (38/38) and 82% (31/38), respectively (P = 0.016). Four cases of adenocarcinoma and three cases of signet ring cell carcinoma were missed by [18F]-FDG PET. The mean SUVmax of [68 Ga]Ga-FAPI-04 in tumours greater than 4 cm (11.0 ± 4.5) was higher than that in tumours less than 4 cm (4.5 ± 3.2) (P = 0.0015). The mean SUVmax of [68 Ga]Ga-FAPI-04 was higher in T2–4 tumours (9.7 ± 4.4) than in T1 tumours (3.1 ± 1.5) (P = 0.0002). For the detection of metastatic lesions, the sensitivities of [68 Ga]Ga-FAPI-04 PET and [18F]-FDG PET in 10 patients with regional lymph node metastasis and distant metastasis were 6/10 and 5/10, respectively. Conclusion In this selected cohort, [68 Ga]Ga-FAPI-04 PET had a superior detection rate than [18F]-FDG PET for primary gastric cancer. [68 Ga]Ga-FAPI-04 PET could provide better performance with regard to gastric cancer diagnosis and staging. Prospective clinical trials are warranted.
Preliminary studies on the anti-inflammatory effects of Swertia chirata in albino rats

Aqueous suspension of total xanthones of Swertia chirata in 5% gum acacia was prepared from the aerial parts of the plant. Its anti-inflammatory effects were investigated in albino rats at a dose level of 50 mg/kg body weight (oral route) against Carrageenin, 5-HT, Dextran, Bradykinin and PGE1 induced hind paw oedema. Schirata exhibited significant antiinflam -matory activity against 5-HT and bradykinin. Mean changes in paw volume revealed the efficacy of the drug against phlogistic agents in the following order: 5-HT>Carrageenin> Bradykinin>Dextran>PGE1. Anti-inflammatory effects of Schirata was found less effective when compared with standard anti-inflammatory drugs like phenylbutazole (50 mg/kg, i.p) and betamethasone (0.5 mg/kg, i.p) in experimental models of acute and subacute inflammation.
The Effects of Virtual Reality News on Learning about Climate Change

ABSTRACT Promoting public knowledge about climate is important for garnering support for climate-change policy, and researchers have begun to study the effectiveness of new technologies as learning tools. News organizations are increasingly producing immersive journalism, including virtual reality (VR) and augmented reality (AR), and this study tests whether VR news can be an effective tool for learning about climate change. Based on results from a controlled, in-person laboratory experiment comparing an immersive VR news story to 360°-video and text-with-images versions, we find no main effects on the learning outcomes. However, we do find indirect effects on cognitive elaboration, which are conditional on preexisting knowledge about climate change. Results are discussed in light of their implications for theory about learning in multimedia environments, as well as their implications for the science of science communication.