Miracle-dz/UniFAR-FTUs huggingface dataset:
Topical Curcumin as Chemoprotector Against Photoproducts Production: The Role of Cyclobutyl Pyrimidine Dimers, 8-Hydroxy2ʹDeoxyguanosine Expression and Epidermal Hyperplasia in Acute and Chronic UVB-Induced Mice

Background Ultraviolet B (UVB) exposure leads to formation of photoproducts leading to cellular damage. Prevention using sunscreen can sometimes be inadequate and can be an economic burden. Recent studies have suggested the photoprotective effect of curcumin. Objective To examine the acute and chronic photoprotective effect of topical curcumin, using cyclobutyl pyrimidine dimers (CPD) and 8-hydroxy2ʹdeoxyguanosine (8-OHdG) expression as markers of DNA-induced damage, and epidermal hyperplasia on UVB-induced mice. Methods Three treatment groups were established. Group A (negative control) consisted of 5 mice, Group B and C were further divided into two categories to assess acute and chronic effects of topical curcumin and UVB radiation. Each consisted of six subgroups of five mice. Subgroup 1; UVB exposure only (positive control) subgroup 2; acetone and UVB exposure, subgroup 3–6; topical curcumin application of 100nM, 1µM, 10µM, and 100µM concentrations, respectively. In Group C, there were two categories that received 3x/week UVB exposure for three weeks which effects were being observed at 24 hours and 10 days after the last exposure. The topical curcumin dose was 2mg/mL/cm2 applied 30 minutes prior to 343mJ/cm2/day UVB irradiation. Skin biopsy was done one hour after the last UVB exposure for immunohistochemical and histopathology examinations. Results Topical curcumin showed a limited yet robust protective effect against CPD and 8-OHdG expression in Group B, while in Group C all concentrations showed significant CPD and 8-OHdG inhibition after 10 days of UVB exposure. The 10µM and 100µM concentrations showed the best epidermal hyperplasia inhibition effect (p<0.05). No significant differences were found in terms in efficacy either in single nor daily application. Conclusion Topical curcumin can prevent the formation of the photoproducts CPD and 8-OHdG and epidermal hyperplasia in both acute and chronic exposure in UVB-induced mice.
Delayless signal smoothing using a median and predictive filter hybrid

Median filters are widely applied in restoring signals that are corrupted by impulsive noise. Using a median filter of length N, impulses of length up to (N-1)/2 samples are filtered away from the signal, but at the same time the signal is delayed by (N-1)/2 samples. Furthermore, median filtering may distort the signal waveform. We present a novel hybrid scheme of using linear predictive filters in cascade with a median filter to compensate the delay caused by median filtering. In addition to canceling the delay, the proposed system relieves signal distortion due to the low-pass characteristics of the polynomial predictive filters used. The scheme is illustrated by an application in modeling of musical instruments where the proposed filter system successfully removes transient disturbances.
Studying Asymmetric Structure in Directed Networks by Overlapping and Non-Overlapping Models

We consider the problem of modeling and estimating communities in directed networks. Models to this problem in the previous literature always assume that the sending clusters and the receiving clusters have non-overlapping property or overlapping property simultaneously. However, previous models cannot model the directed network in which nodes in sending clusters have overlapping property, while nodes in receiving clusters have non-overlapping property, especially for the case when the number of sending clusters is no larger than that of the receiving clusters. This kind of directed network exists in the real world for its randomness, and by the fact that we have little prior knowledge of the community structure for some real-world directed networks. To study the asymmetric structure for such directed networks, we propose a flexible and identifiable Overlapping and Non-overlapping model (ONM). We also provide one model as an extension of ONM to model the directed network, with a variation in node degree. Two spectral clustering algorithms are designed to fit the models. We establish a theoretical guarantee on the estimation consistency for the algorithms under the proposed models. A small scale computer-generated directed networks are designed and conducted to support our theoretical results. Four real-world directed networks are used to illustrate the algorithms, and the results reveal the existence of highly mixed nodes and the asymmetric structure for these networks.
A Study of Hadronic Calibration Schemes for Pion Test Beam Data in the ATLAS Forward Calorimeter

The ATLAS forward calorimeters constitute a small though important fraction of the detector's calorimeter system, designed in part to accurately and precisely measure the energy of particles and jets of particles originating from the collisions of high-energy protons at the detector's centre. The application of hadronic weights, a practice common in high-energy calorimetry, provides a means of compensation for the fraction of energy which is deposited by particles in the detector, but which is invisible to the detector due to the nature of hadronic showers. Explored here are various schemes of extracting hadronic weights, as well as the application of such weights, based on pion data from the 2003 ATLAS forward calorimeter test beam. During the collection of test beam data, beams of both pions and electrons of known energy, ranging from 10 to 200 GeV, were fired at specific points of an isolated detector in order to understand its response. The improvement in noise-subtracted energy resolution with respect to the electromagnetic scale results, based on a weighting scheme which takes advantage of the transverse properties of hadronic showers, is shown to be 34.5% at an energy of 200 GeV. In terms of the energy response, it is shown that upon application of hadronic weights for such a weighting scheme, one is able to reconstruct the pion energy to within 5% of its true value for all test beam energies above 40 GeV. It is also shown that hadronic weights can be applied without taking advantage of the tracking information used in the test beam setup, in an effort to show the feasibility of such methods in the analysis of ATLAS collision data. Furthermore, the difficulties present in accurately reconstructing the energy in the high-77 region of the detector due to the presence of the ATLAS beam pipe and the means of compensating for such difficulties are investigated.
On uniqueness of graphs with constant mean curvature

A result due to Serrin assures that a graph with constant mean curvature $H \neq 0$ in Euclidean space $\mathbb{R}^{3}$ cannot keep away a distance $1/|H|$ from its boundary. When the distance is exactly $1/|H|$, then the surface is a hemisphere. Following ideas due to Meeks, in this note we treat the aspect of the equality in the Serrin�s estimate as well as generalizations in other situations and ambient spaces.
Chinese attitudes to plagiarism: a genre analysis of editorial statements on plagiarism cases (1950s-1960s)

ABSTRACT It has been assumed sometimes that plagiarism is traditionally accepted in Confucian-heritage cultures such as China. In this paper we provide evidence to counter such a view. Focusing on a corpus of editorial statements on plagiarism cases published in Chinese journals in the decade of the early 1950s-the early 1960s, we present an integrated genre analysis and discourse analysis of this data. We illuminate 12 rhetorical move types in the focal genre and intertextual links between the genre and two related genres (readers’ disclosure reports and plagiarizers’ apologies) and demonstrate how plagiarism is construed as a transgressive practice and is imbued with the post-revolutionary Communist discourse of its historical period. The implications of the study apply to the academic community in terms of teaching and learning, on the one hand, and publication practices, on the other. We end the paper by emphasizing the importance of employing a contextualized approach to the study of plagiarism and the power of a triangulated genre and discourse analytic approach in the case of both the present research and the investigation of language use in the real-world more generally.
Myeloid-derived suppressor cells in colorectal cancer: prognostic biomarkers and therapeutic targets

Myeloid-derived suppressor cells (MDSCs) are a group of immature myeloid cells, which are expanded in most cancer patients. MDSCs suppress host immune responses, leading to cancer growth and progression. Several studies demonstrated that there was a relationship between levels of MDSCs and tumorigenesis in colorectal cancer (CRC) patients. MDSCs are now being investigated for their role as possible therapeutic targets in cancer treatment. This review summarizes available studies that investigated MDSC expansion in CRC patients, as well as their role in CRC tumorigenesis, prognosis, and targeting. Based on the available studies, there is a possible relationship between high levels of MDSCs and CRC progression. Additionally, targeting MDSCs in CRC patients selectively represents a significant challenge for the development of targeted treatments. Targeting of MDSCs could be exploited in different ways including MDSC depletion, inhibition of MDSC function and recruitment, and enhancing MDSC differentiation. Overall, MDSCs could be exploited as prognostic biomarkers and potential therapeutic targets in CRC.
Ultra-high spectral purity laser derived from weak external distributed perturbation

Ultra-high spectral purity lasers are of considerable research interests in numerous fields such as coherent optical communication, microwave photonics, distributed optical fiber sensing, gravitational wave detection, optical clock, and so on. Herein, to deeply purify laser spectrum with compact size under normal condition, we propose a novel and practical idea to effectively suppress the spontaneous radiation of the laser cavity through weak external distributed perturbation. Sub-sequently, a laser configuration consisting of a main lasing cavity and an external distributed feedback cavity is proposed. The feedback signal with continuous spatio-temporal phase transition controlled by a distributed feedback structure is injected into the main cavity, which can deeply suppress the coupling rate from the spontaneous radiation to the stimulated emission and extremely purify the laser spectrum. Eventually, an ultra-narrow linewidth on-chip laser system with a side mode suppression ratio greater than 80 dB, an output linewidth of 10 Hz, and a relative intensity noise less than -150 dB/Hz is successfully obtained under normal conditions. The proposed concept in this work provides a new perspective for extreme regulation of laser parameters by using weak external distributed perturbation, which can be val-id for various gain-type lasers with wide wavelength bands. Ultra-high from weak external distributed perturbation.
Genetic Algorithm-Based Human Mental Stress Detection and Alerting in Internet of Things

Healthcare is one of the emerging application fields in the Internet of Things (IoT). Stress is a heightened psycho-physiological condition of the human that occurs in response to major objects or events. Stress factors are environmental elements that lead to stress. A person's emotional well-being can be negatively impacted by long-term exposure to several stresses affecting at the same time, which can cause chronic health issues. To avoid strain problems, it is vital to recognize them in their early stages, which can only be done through regular stress monitoring. Wearable gadgets offer constant and real information collecting, which aids in experiencing an increase. An investigation of stress discovery using detecting devices and deep learning-based is implemented in this work. This proposed work investigates stress detection techniques that are utilized with detecting hardware, for example, electroencephalography (EEG), photoplethysmography (PPG), and the Galvanic skin reaction (GSR) as well as in various conditions including traveling and learning. A genetic algorithm is utilized to separate the features, and the ECNN-LSTM is utilized to classify the given information by utilizing the DEAP dataset. Before that, preprocessing strategies are proposed for eliminating artifacts in the signal. Then, the stress that is beyond the threshold value is reached the emergency/alert state; in that case, an expert who predicts the mental stress sends the report to the patient/doctor through the Internet. Finally, the performance is evaluated and compared with the traditional approaches in terms of accuracy, f1-score, precision, and recall.
The atoms of operator-valued free convolutions

Suppose that X1 and X2 are two selfadjoint random variables that are freely independent over an operator algebra B. We describe the possible operator atoms of the distribution of X1+X2 and, using linearization, we determine the possible eigenvalues of an arbitrary polynomial p(X1,X2) in case B=C.
Effective Dimensionality Reduction Based Clustering in Gene Data

Clustering high dimensional data presents a major challenge. Some of the challenges are many irrelevant dimensions may mask clusters. Distance measure becomes meaningless due to equi-distance and some clusters may exist only in some subspaces. It may be difficult in modeling the precise relationship between many number of feature variables and object variables. So to improve the accuracy and efficiency of the clustering, effective clustering approaches are taken and clustering can be done for the dimensional data. Micro array data now a day provides a new opportunities and challenges for data mining. So Micro array data is taken as the high dimensional data and the dimension is been reduced by using techniques of dimension reduction. Density based clustering for gene expression data is been made and Dimensionality reduction based clustering is also been made for gene data. In the Noise removal Dimensionality reduction clustering outperforms Density Based clustering In clustering gene expression data it contains noisy data, irrelevant data, missing data proper preprocessing is made by using k nearest neighbor and clustering by using K-MEANS produced an effective clustering. Independent component analysis (ICA) is been taken to reduce the dimension by taking only the informative genes. ICA to reduce the dimensions may seriously gain the quality and reliability of clustering results. ICA+KMEANS clustering give the best accuracy when compared DBSCAN which is the density based Clustering.
Contenido de fenoles totales, flavonoides y capacidad antioxidante de tres especies endémicas del género Miconia del departamento de Ayacucho – 2019

El género Miconia consta de aproximadamente 700 especies distribuidas en las regiones tropicales y subtropicales de las Américas y es el más representativo de la familia Melastomataceae. Diferentes especies de Miconia se usan ampliamente en la medicina popular como agentes antiinflamatorios, para el tratamiento de enfermedades infecciosas. En la región de Ayacucho, se han reconocido tres especies endémicas M. ayacuchanensis Wurdack, M. lachnoclada Wurdack y M. madisonii Wurdack, recolectadas en la seja de la selva del Valle del Río Apurímac, Ene y Mantaro. El presente trabajo de investigación tuvo como objetivo cuantificar el contenido de fenoles totales, flavonoides y determinar la capacidad antioxidante de tres especies endémicas del género Miconia del departamento de Ayacucho. La cuantificación de fenoles totales (FT) se realizó por el método Folin – Ciocalteau, la cuantificación de flavonoides se realizó utilizando el reactivo de tricloruro de aluminio y la actividad antioxidante se realizó por el método DPPH. Las tres especies de Miconia presentaron triterpenos y compuestos fenólicos, como los flavonoides, quinonas y cumarinas. El extracto de las hojas de M. ayacuchanensis presentó el mayor contenido de FT, con un valor de 362,7 ± 0,7 mgAG/g, seguido por los extractos de las hojas M. lachnoclada y las hojas de M. madisonii, con valores de 340,8 ± 0,3 y 319,9. ±. 0,9 mgAG/g, respectivamente. El extracto de las hojas de M. ayacuchanensis presentó el mayor contenido de flavonoides con un valor de 55,0 ± 0,4 mgERu/g, seguido por los extractos de las hojas de M. lachnoclada y las hojas de M. madisonii con valores de 50,7 ± 0,3 y 44,3 ± 0,3.mgERu/g, respectivamente. El extracto de las hojas de M. ayacuchanensis presentó mayor actividad antioxidante a la concentración de 100. µg/mL con un valor de 91,8 ± 0,2%; aunque estadísticamente menor al Trolox (p<0,05), que presentó una actividad antioxidante de 94,9 ± 0,2%. También M. lachnoclada y M. madisonii presentaron alta actividad antioxidante con valores de 81,3 ± 3,4% y 79,2 ± 2,0%, respectivamente. Se concluye que las hojas de las tres de especies de Miconia endémicas del departamento de Ayacucho presentan alto contenido de compuestos fenólicos y alta actividad antioxidante.
Human Interleukin-1β Profile and Self-Reported Pain Monitoring Using Clear Aligners with or without Acceleration Techniques: A Case Report and Investigational Study

Introduction There is a growing demand for more aesthetic, comfortable, and faster orthodontic treatments, and clear aligners emerged as a solution to fulfill this need. However, the effectiveness of clear aligners to treat complex malocclusions is yet contentious. The use of acceleration methods could improve the efficacy of clear aligners by stimulating cells' mechanobiology through numerous pathways, but this hypothesis is still poorly explored. Objective We aimed to monitor the release profile of an inflammatory marker-the interleukin-1β-and to evaluate its relationship with self-reported pain scores with and without the use of acceleration techniques during an orthodontic treatment requiring difficult tooth movements with clear aligners. Case Report. Here, we report a case of a 46-year-old female patient who presented functional and aesthetic complaints. Intraoral examination revealed a diminished overjet and overbite, rotation of teeth 45 and 24, absence of teeth 25, 35, and 36, buccolingual dislocation of tooth 21, a tendency to a Class III malocclusion, and a 2 mm left deviation of the lower midline. This study is divided into three stimulation phases: no stimulation, mechanical vibration stimulation, and photobiomodulation. Interleukin-1β levels in gingival crevicular fluid samples from the pressure side of six selected teeth were evaluated at four time points after the orthodontic treatment onset. Pain monitoring in those teeth was performed using a visual analogue scale at the same time points. Results Interleukin-1β protein production peaked 24 h after treatment onset. Complex movements were associated with increased self-reported pain. Conclusion Clear aligners show limitations in solving complex tooth movements, even when combined with acceleration. The development of customized and programmable stimulation microdevices integrated into “smart aligners,” which could be designed to specifically stimulate the direction of movement and stimulation parameters and could constitute a solution to optimize the orthodontic tooth movement with clear aligners.
The Parsimonious Gompertzian Mortality Parameters: Evidence From Advanced Actuarial Numerical Estimation Technique

Efforts in obtaining distribution function which reasonably models life table functions have always constituted a major challenge in mortality construction and attempts with many estimating functions have not solved the problem. Numerous distribution functions have been experimented for this purpose but do not seem to be of interest because they are not parsimonious in actuarial representation and consequently could not adequately describe mortality table data. In order to overcome this problem, it is possible to estimate parameters by adopting less sophisticated mortality distribution functions. In traditional mortality models like Gompertz function, mortality rate increases exponentially as ages advance chronologically. The parametric estimation is meant to produce an estimated value of μx. This work aims to estimate the Gompertzian mortality model parameters from a new numerical perspective. We present a parametrization that focuses on actuarial information based on Gompertzian mortality from indirect approach. The paper intends to develop an acceptable level of approximating the Gompertz model parameters for mortality rates. The objectives are to estimate (i) the level of mortality at initial age (ii) the rate of mortality increase across ages (iii) construct the modal age at death and (iv) the ageing rate. In order to compute the parameters, a numerical method that is more advanced than the traditional methods is adopted to demonstrate that the Gompertz model describes the behaviour of mortality trajectory with all its actuarial parameters.
The effect of Mn-doping on dielectric properties of titanate nanowires

Mn-doped titanate nanowires (TNWs) with system of MnxTi3-xO7 (Na0.96H1.04∙3.42H2O) (where x = 0, 0.05, 0.10, 0.20, and 0.30) were fabricated a hydrothermal route at 130 °C for 24 h. The products were investigated by X-ray diffraction (XRD), scanning electron microscopy (SEM), and UV-vis spectroscopy. The nanowires were an average diameter of about 10–50 nm and an average range length of micrometer scales. The dielectric relaxation in the MnxTi3-xO7 (Na0.96H1.04∙3.42H2O) system was determined by LCR Meter in difference frequency (102–106 Hz) at various temperatures. The Mn-doped TNWs samples showed a giant dielectric exhibit with a dielectric constant of about 104 at 30 °C and 1 kHz. They all have a Debye-like relaxation based on the Maxwell-Wagner polarization. The dielectric constant of Mn-doped TNWs significantly increased with increasing doping levels.
Blood Eosinophils and Exhaled Nitric Oxide: Surrogate Biomarkers of Airway Eosinophilia in Stable COPD and Exacerbation

In recent years, tremendous efforts have been devoted to characterizing the inflammatory processes in chronic obstructive pulmonary disease (COPD) in order to provide more personalized treatment for COPD patients. While it has proved difficult to identify COPD-specific inflammatory pathways, the distinction between eosinophilic and non-eosinophilic airway inflammation has gained clinical relevance. Evidence has shown that sputum eosinophil counts are increased in a subset of COPD patients and that these patients are more responsive to oral or inhaled corticosteroid therapy. Due to feasibility issues associated with sputum cell profiling in daily clinical practice, peripheral blood eosinophil counts and fractional exhaled nitric oxide levels have been evaluated as surrogate biomarkers for assessing the extent of airway eosinophilia in COPD patients, both in stable disease and acute exacerbations. The diagnostic value of these markers is not equivalent and depends heavily on the patient’s condition at the time of sample collection. Additionally, the sensitivity and specificity of these tests may be influenced by the patient’s maintenance treatment. Overall, eosinophilic COPD may represent a distinct disease phenotype that needs to be further investigated in terms of prognosis and treatment outcomes.