Miracle-dz/UniFAR-FTUs huggingface dataset:
The Autophagy Marker LC3 Is Processed during the Sperm Capacitation and the Acrosome Reaction and Translocates to the Acrosome Where It Colocalizes with the Acrosomal Membranes in Horse Spermatozoa

Despite its importance in somatic cells and during spermatogenesis, little is known about the role that autophagy may play in ejaculated spermatozoa. Our aim was to investigate whether the molecular components of autophagy, such as microtubule-associated protein 1 light chain 3 (LC3), are activated in stallion spermatozoa during the capacitation and acrosome reaction and if this activation could modulate these biological processes. To analyze the autophagy turnover, LC3I and LC3II proteins were assessed by western blotting, and the ratio between both proteins (LC3II/LC3I) was calculated. In somatic cells, this ratio indicates that autophagy has been activated and similar LC3 processing has been described in mammalian spermatozoa. The subcellular localization of autophagy-related proteins was assessed by immunofluorescence with specific antibodies that recognized Atg16, Beclin-1, and LC3. The colocalization of acrosomal membranes (PNA) and LC3 was studied by confocal microcopy, and the acrosome reacted cells were quantified by flow cytometry. The incubation of stallion sperm in capacitating conditions (BWW; 3 h) significantly increased LC3 processing. This increment was three to four times higher after the induction of the acrosome reaction in these cells. LC3 was mainly expressed in the head in mature ejaculated sperm showing a clear redistribution from the post-acrosomal region to the acrosome upon the incubation of sperm in capacitating conditions (BWW, 3 h). After the induction of the acrosome reaction, LC3 colocalized with the acrosome or the apical plasmalemma membranes in the head of the stallion spermatozoa. The inhibition or activation of autophagy-related pathways in the presence of autophagy activators (STF-62247) or inhibitors (E-64d, chloroquine) significantly increased LC3 processing and increased the percent of acrosome reacted cells, whereas 3-methyladenine almost completely inhibited LC3 processing and the acrosome reaction. In conclusion, we found that sperm capacitation and acrosome reaction could be regulated by autophagy components in sperm cells ex vivo by processes that might be independent of the intraluminal pH of the acrosome and dependent of LC3 lipidation. It can be speculated that, in stallion sperm, a form of noncanonical autophagy utilizes some components of autophagy machinery to facilitate the acrosome reaction.
Transcriptome Analysis Revealed Potential Neuro-Immune Interaction in Papillary Thyroid Carcinoma Tissues

Background: A recent study reported that papillary thyroid carcinoma (PTC) was associated with increased adrenergic nerve density. Meanwhile, emerging evidence suggested that tumor-innervating nerves might play a role in shaping the tumor microenvironment. We aimed to explore the potential interaction between neuronal markers and tumor microenvironmental signatures through a transcriptomic approach. Methods: mRNA sequencing was conducted using five pairs of PTC and adjacent normal tissues. The Gene Set Variation Analysis (GSVA) was performed to calculate enrichment scores of gene sets related to tumor-infiltrating immune cells and the tumor microenvironment. The potential interaction was tested using the expression levels of a series of neuronal markers and gene set enrichment scores. Results: PTC tissues were associated with increased enrichment scores of CD8 T cells, cancer-associated fibroblasts, mast cells, and checkpoint molecules. The neuronal marker for cholinergic neurons was positively correlated with CD8 T cell activation, while markers for serotonergic and dopaminergic neurons showed an inverse correlation. Conclusion: Distinct neuronal markers exerted different correlations with tumor microenvironmental signatures. Tumor-innervating nerves might play a role in the formation of the PTC microenvironment.
CCD photometric search for peculiar stars in open clusters III. NGC 2439, NGC 3960, NGC 6134, NGC 6192 and NGC 6451 ?

In total, more than 550 objects within the fields of five open clusters were investigated in order to find classical chemically peculiar stars. One bona-fide CP candidate was detected in each of the open clusters NGC 3960, NGC 6192 and NGC 6451. All three objects seem to be members of the corresponding cluster, taking the results from our photometry as well as from the literature. For NGC 6192 and NGC 6451 we found widely different interstellar reddening values and therefore distances and ages in the literature. From an analysis of published Johnson UBVRI photometry, we were able to rule out a rather old age for NGC 6451. This is also supported by the finding of one peculiar object in this cluster with spectral type of about A2. Five variable objects within the field of NGC 6134 were detected. The variability exceeds 10 times (or typically 0.03 mag) the standard deviation of the weighted individual measurements. But since our observations were obtained mostly within one hour (typical integration times of five minutes per filter) on several nights within 45 days, no light curves could be derived. For this cluster, some Am candidates were reported for which we were not able to detect a significant positive $\Delta a$-value.
Structural and multiferroic properties of Bi1−xInxFeO3 (0 ≤ x ≤ 0.20) nanoparticles

Indium (In)-doped BiFeO3 (BFO) nanoparticles were prepared by an ethylene glycol based sol-gel method using the concept of aging for the formation of pure phase crystal structure. The x-ray diffraction patterns reveal the single phase rhombohedral structure for BFO and In-doped BFO nanoparticles and In substitution (0%-20%) at the Bi site does not transform the crystal structure of BiFeO3. The appearance of metal-oxide absorption bands at 555 cm−1 and 439 cm−1 in FTIR spectra confirms the formation of perovskite structure. The doping of In at Bi-site improves the particles surface morphology and reduces the average particles size to around 30 nm which markedly affect the magnetic and electrical properties of these nanoparticles. Saturation magnetization increases from 0.40 emu/gm for BFO nanoparticles to 3.20 emu/gm for 20% In-doped BFO (BFO2) nanoparticles. The coercivity reduces to 78 Oe for BFO2 due to decrease in magnetocrystalline anisotropy. In-doping at Bi-site improves the dielectric properties of.
Psychosocial Adaptation Model on Tuberculosis Clients Using Uncertainty in Illness Theory Approach in Jember

ABSTRACT Introduction: Pulmonary tuberculosis is an infectious disease that has a psychosocial impact on the sufferer. The government program, is still applicable to the treatment and transmission of disease. Objective: This study was to structural models of psychosocial adaptation in patients with tuberculosis (TB) who underwent treatment using the theory of uncertainty in the disease at Jember Health Centre. Methods: The research is included in the explanative survey method using a cross sectional approach. Samples were taken according to the inclusion criteria of 100 respondents. Sampling using simple random sampling technique. The independent variables in this study, among other: sex, age, marital status, duration of treatment, knowledge, expectations, ethnicity, stigma, occupation, family support, communication, education, uncertainty, coping and psychosocial adaptation. Data were collected using structured questionnaires and analyzed using Partial Least Square (PLS). Results: The result of the research showed that: cognitive factor gave significant effect to uncertainty (t statistic 2,686 >1,6), psychological factor did not give significant effect to uncertainty(t statistic 0, 418 <1,6), social factor gave significant influence to uncertainty (t statistic 7, 496 >1,6), factor uncertainty has a significant effect on coping(t statistic 5,572 >1,6), Coping factors have an effect on psychosocial adaptation(t statistic 7, 911 >1,6). This study cognitive knowledge has a direct influence on uncertainty. uncertainty decreases because the knowledge of TB clients increases. TB clients understanding of the information provided by health workers can reduce the worries and confusion. Conclusion: This psychosocial adaptation nursing model has good predictive relevance.
High-efficiency and high-resolution fiber-optic probes for near field imaging and spectroscopy

We demonstrate that fiber-optic probes with an intermediate section followed by a rapidly tapering tip lead to transmission efficiency enhancement of better than four orders-of-magnitude at 60 nm tip diameter and more than five orders-of-magnitude at smaller than 40 nm tip diameter over typical taffy-pulled fiber probes. Our highest resolution probes have a tip diameter of 30 nm with a transmission efficiency of 0.02%, and as an example we image tobacco mosaic virus with a resolution better than 35 nm. The probes are made in a two-step process involving pulling and then etching that permits both high efficiency and control of the mechanical resonance properties. The efficiency is enhanced by reducing the distance that the electromagnetic mode travels in the cut-off mode of the fiber probe. The higher resolution is achieved because sharper tips can be made through the etching process.
On the Large-Sample Bias, Variance, and Mean Squared Error of the Conventional Noncentrality Parameter Estimator of Covariance Structure Models

The conventional noncentrality parameter estimator of covariance structure models, which is currently implemented in widely circulated structural modeling programs (e.g., LISREL, EQS, AMOS, RAMONA), is shown to possess asymptotically potentially large bias, variance, and mean squared error (MSE). A formal expression for its large-sample bias is presented, and its large-sample variance and MSE are quantified. Based on these results, it is suggested that future research needs to develop means of possibly unbiased estimation of the noncentrality parameter, with smaller variance and MSE.
Minimizing NOx emissions from reheating furnaces

6 1 FINAL SUMMARY 7 1.1 OBJECTIVES 7 1.2 COMPARISON OF THE ACTIVITIES WITH THE WORK ACCOMPLISHED 7 1.2.1 WP1 LABORATORY AND PILOT TRIALS FOR AIR COMBUSTION (WITH LOW NOX BURNERS) 7 1.2.2 WP 2 MODELLING OF NOX IN INDUSTRIAL FURNACES AND FROM BURNERS WITH VALIDATION TRIALS 8 1.2.3 WP 3 MEASUREMENT OF NOX AND OTHER POLLUTANTS AND REVIEW OF NOX ABATEMENT TECHNIQUES 8 1.2.4 WP4 NOX IN OXY-FUEL COMBUSTION 9 1.2.5 WP5 MINIMISING NOX EMISSIONS BY HIGH TEMPERATURE REDUCTION (HTR) 9 1.3 DESCRIPTION OF ACTIVITIES AND DISCUSSION 10 1.3.1 WP1 LABORATORY AND PILOT TRIALS FOR AIR COMBUSTION (WITH LOW NOX BURNERS) 10 1.3.2 WP 2 MODELLING OF NOX IN INDUSTRIAL FURNACES AND FROM BURNERS WITH VALIDATION TRIALS 11 1.3.3 WP 3 MEASUREMENT OF NOX AND OTHER POLLUTANTS AND REVIEW OF NOX ABATEMENT TECHNIQUES 12 1.3.4 WP4 NOX IN OXY-FUEL COMBUSTION 13 1.3. 5 WP5 MINIMISING NOX EMISSIONS BY HIGH TEMPERATURE REDUCTION (HTR) 14 1.4 CONCLUSIONS 15 1.5 EXPLOITATION AND IMPACT OF THE RESULTS 16 2 SCIENTIFIC AND TECHNICAL DESCRIPTION OF THE RESULTS 17 2.1 WP 1 LABORATORY AND PILOT PLANT TRIALS FOR AIR COMBUSTION 17 2.1.1 TASK 1.1. TESTING OF LOW NOX BURNER DESIGNS 17 2.1.2 TASK 1.2. OTHER LOW NOX COMBUSTION TECHNIQUES 36 2.1.3 TASK 1.3 TEST WITH FLAMELESS REGENERATIVE COMBUSTION LOW NOX BURNER (CSM) 39 2.1.4 SUMMARY 48 2.2 WP 2 MODELLING OF NOX IN INDUSTRIAL FURNACES AND FROM BURNERS WITH VALIDATION TRIALS 48 2.2.1 TASK 2.1. INTEGRATING CHEMKIN AND INTERACTIONS WITH CFD 48 2.2.2 TASK 2.2. DEVELOPMENT AND ADAPTATION OF CFD MODEL 50 2.2.3 TASK 2.3. MODELLING FOR NOX REDUCTION STRATEGIES 50 2.2.4 TASK 2.4. MODEL VALIDATION AND REFINEMENT WITH DATA FROM REHEATING FURNACE 50 2.2.5 TASK 2.5. GENERALISED MODEL PREDICTING NOX (TECHINT) 85 2.3 WP 3 MEASUREMENT OF NOX AND OTHER POLLUTANTS AND REVIEW OF NOX ABATEMENT TECHNIQUES 94 2.3.1 TASK 3.1: MEASUREMENT OF NOX CONCENTRATION 94 2.3.2 TASK 3.2: MEASUREMENT OF THE CONCENTRATION OF OTHER POLLUTANTS 96 2.3.3 TASK 3.3: MEASUREMENT OF FLUE GAS CHARACTERISTICS 98 2.3.4 TASK 3.4: NOX ABATEMENT TECHNOLOGY 99 2.4 WP 4 NOX IN OXY-FUEL COMBUSTION 100 2.5 WP 5 MINIMISING NOX EMISSIONS BY HIGH TEMPERATURE REDUCTION /HTR 114 2.5.1 TASK 5.1 INVESTIGATION OF THE PARAMETERS OF HTR 114 2.5.2 TASK 5.2. OPTIMISATION OF HTR USING CFD 120 3 ECONOMIC ANALYSIS AND CONCLUSIONS 130 3.1 OXY-FUEL VERSUS AIR COMBUSTION IN NEW FURNACES 130 3.2 OXY-FUEL REVAMPING OF FURNACES 131 3.3 CONCLUSIONS 132 4 LIST OF FIGURES 134 5 LIST OF TABLES 138 6 LIST OF REFERENCES 140
The spectral evolution of galaxies. I. an observational approach.

In the present paper, two major new surveys are discussed, taking into account a photometric and a spectrophotometric approach. It is demonstrated that the optical color selection of galaxies is a superior technique for selecting a more homogeneous sample of distant galaxies than other methods such as radio flux density, which is rather arbitrary, or selecting rich clusters of galaxies. The comparison of phenomenological models of spectral evolution with the observed data indicates that the present epoch age for giant elliptical galaxies is much older than 8 Gyr. These models provide an adequate description of the evolution of giant elliptical galaxies with a present epoch age of about 16 Gyr and an exponentially decaying star-formation rate with an e-folding time of about 0.9 Gyr. 76 references.
Elsevier Editorial System(tm) for Applied Catalysis B: Environmental Manuscript Draft Manuscript Number: APCATB-D-14-00895 Title: Optimization and Mechanism Elucidation of the Catalytic Photo-Degradation of the Dyes Eosin Yellow (EY) and Naphthol blue black (NBB) by a Polyaniline-coated Titanium Dio

A polyaniline-coated titanium oxide nanocomposite (PTO) was synthesized, characterized and used in the catalytic photo-degradation of the azo-dyes Eosin Yellow (EY) and Naphthol blue black (NBB). An emphasis was placed on the key parameters governing the degradation process. It was noted that the extent of degradation was higher at lower pH for both dyes. The rate of degradation of both dyes also increased with increasing catalyst dosage and together with Langmuir-Hinselwood models and other second-order kinetic models verified that heterogeneous photocatalysis occurred. The rate of degradation increased with increasing initial dye concentrations and only increased gradually with an increase in UV light intensity in the absence of the catalyst. The optimum operating conditions for the degradation was also predicted using Response Surface Methodology (RSM) analysis as a statistical tool. This analysis revealed that the initial dye concentration, pH and dosage of the catalyst are all significant parameters in the degradation process. The combined effect of pH and initial concentration was antagonistic whilst the combined effect of initial concentration and catalyst dosage and the combined effect of catalyst dosage and pH were both synergistic. The optimum degradation percentages were found to be 99.85 and 99.74 for EY and NBB respectively. These optimum percentage degradations were observed at pH 3.0, initial dye concentration 15 mg L –1 and a catalyst dosage of 1.0 g L –1 . LC-MS data was also used to identify the photodegradation products and to propose a mechanism of photodegradation.
Gyromagnetic ratio and magnetization in Fe/V superlattices

The g-factor, the intrinsic magnetic anisotropy energy (MAE) and the magnetization are determined from high-precision multi-frequency ferromagnetic resonance measurements and SQUID magnetometry. In Fe2/V5 and Fe4/V4 bcc(100) superlattices we find different reduced magnetic moments per Fe atom of 1.14 μB and 1.55 μB assuming theoretically calculated V moments of − 0.67 μB and − 0.35 μB at the interface planes of the two samples. Increased values of the spectroscopic splitting g-factor with respect to bulk Fe are measured. By comparison with theoretical calculations, with the measured MAE and with previous experiments, we conclude that the larger g-values are most likely due to the ferrimagnetic response of the exchange coupled Fe/V layers and not to an enhanced orbital moment in Fe. In addition, we find evidence that the induced magnetic moment of the V atom persists above the Curie temperature in the paramagnetic regime.
Community Integration and Associated Factors 10 Years after Moderate-to-Severe Traumatic Brain Injury

This study evaluated the impact of baseline injury characteristics and one-year functional level on the 10-year community integration outcomes for working-age patients with moderate-to-severe traumatic brain injury (TBI). Patients aged 16–55 and diagnosed with moderate-to-severe TBI within 24 h of injury were eligible for the study. Multivariable hierarchical linear regression was utilized to assess the impact of baseline characteristics and one-year functional measures on the mean Community Integration Questionnaire (CIQ) scores 10 years after injury. Of 133 original study participants, 97 survived 10 years, and 75 were available for this study. The mean total CIQ score changed positively from one to 10 years post-injury, from 18.7 (±5.5) to 19.8 (±4.8) (p = 0.04). The results suggested that age (β = −0.260, p = 0.013), FIM-Cognitive subscale (β = 0.608, p = 0.002), and the bodily pain subscale (BP) (β = 0.277, p = 0.017) of the SF-36 were significantly associated with the mean CIQ scores. In conclusion, this study demonstrated improved community integration from one to 10 years in a sample of working-age patients with moderate-to-severe TBI. The findings also showed that age, cognitive function, and bodily pain were significant predictors of long-term community integration, suggesting post-acute rehabilitation should focus on factors related to long-term risk and protective factors to improve long-term outcomes.
Measuring the effect of Users' Privacy Concerns on the Use of Jakarta Smart City Mobile Application (JAKI)

Jakarta Kini (JAKI) is a super-app developed by Jakarta Smart City that offers a one-stop service to help citizens connect and communicate with the Government. It is undeniable that the use of mobile applications can indeed facilitate people's activities, but on the other hand, it also poses risks and raises concerns in terms of privacy. The purpose of this study is to assess the impact of users' privacy concerns on their tendency to use the JAKI mobile application. To measure the privacy concern, we conduct an online survey of the users of JAKI. The hypothesis and research model were formulated to assess the users' privacy concerns based on the Mobile Users' Information Privacy Concerns (MUIPC) theory, with additional factors, namely prior privacy experience and awareness, as the antecedents. As a result, we found that MUIPC had a significant effect on negatively influencing the intention to use the JAKI application. Our study contributes as a starting point in exploring privacy research in the context of a smart city in Indonesia. Additionally, this study proved that the IPC scales that were originally designed for English-based countries could also be adapted to Bahasa Indonesia and utilized in the Indonesian context.
Broadband DOA Estimation by Exploiting DFT Extrapolation

This study proposes broadband direction (DOA) estimation through discrete Fourier transform (DFT) extrapolation. We used DFT extrapolation in the lower band and extended the sampled data to reduce the beam width in the spectral domain and improved the accuracy of the estimated DOA. The sampled data with a length of 12 were extrapolated to 36 by the addition of 12-element virtual arrays to 12 real arrays on both sides. The average RMSEs of the estimated DOAs were measured throughout the wide frequency band. To verify the validity of the proposed algorithm, we demonstrated that the RMSE obtained from the broadband DOA estimation for multiple signals of interest (SOIs) was reduced in the extrapolated array. It was demonstrated that the proposed algorithm can broaden the frequency band at which a fixed number of array can estimate the DOA accurately.
Influence diagnostics in heteroscedastic and/or autoregressive nonlinear elliptical models for correlated data

In this paper, we propose nonlinear elliptical models for correlated data with heteroscedastic and/or autoregressive structures. Our aim is to extend the models proposed by Russo et al. 22 by considering a more sophisticated scale structure to deal with variations in data dispersion and/or a possible autocorrelation among measurements taken throughout the same experimental unit. Moreover, to avoid the possible influence of outlying observations or to take into account the non-normal symmetric tails of the data, we assume elliptical contours for the joint distribution of random effects and errors, which allows us to attribute different weights to the observations. We propose an iterative algorithm to obtain the maximum-likelihood estimates for the parameters and derive the local influence curvatures for some specific perturbation schemes. The motivation for this work comes from a pharmacokinetic indomethacin data set, which was analysed previously by Bocheng and Xuping 1 under normality.
A deep learning framework for analyzing cloud characteristics of aggregated convection using cloud‐resolving model simulations

This study introduces a framework to extract the high‐dimensional nonlinear relationships among state variables for aggregated convection. The prototype of such a framework is developed that applies the convolutional neural network models (CNN models) to retrieve the cloud characteristics from cloud‐resolving model (CRM) simulations. CNN model prediction factors are hidden in the high dimensional weighted parameters in each neural network layer. Therefore, we can dig out relevant physics processes by iterating the CNN models' training process and eliminating the features with the physics explanation we can provide at a given stage. Within a few iterations, explainable nonlinear relationships among variables can be provided. We identified that the averaged cloud water path (CWP), the maximum value of CWP in each cloud, and the cloud coverage rate are essential for identifying aggregation. Furthermore, by analyzing the encoded channels of the CNN model, we found a strong relationship between aggregation, cloud peripherals, and fractal dimensions. The results suggest that the important nonlinear cloud characteristics for identifying the aggregation can be captured with the proper adjustment and limitation of the input data to the CNN models. Our framework provides a possibility that we can explore the high dimensional relationship between the physics process with the assistance of the CNN model.
8.4: Perceptual Quality Assessment for Motion Compensated Frame Interpolation

In this paper, a novel nonreference video quality metric is proposed to evaluate motion compensated frame interpolation MCFI methods. Instead of using any exact reference frames, the proposed method estimates appropriate reference regions for every local region of interpolated frames by exploiting temporal correlation in frame interpolated video sequences. Then, the quality of the interpolated frame can be measured accurately by quantifying the image structural similarity between the corresponding local regions. Experimental results demonstrate that the proposed metric shows high correlation with the subjective evaluation of human observers significantly.