Miracle-dz/UniFAR-FTUs huggingface dataset:
Andrographolide Inhibits Cholangiocarcinoma Cell Migration by Down-Regulation of Claudin-1 via the p-38 Signaling Pathway

Andrographolide, a bioactive phytochemical from Andrographis paniculata, is emerging as a promising anticancer agent against various cancers. This study aims to investigate anticancer activities of andrographolide against cholangiocarcinoma (CCA) and to understand the underlying mechanism. The anti-proliferative activity of andrographolide was evaluated in a range of cholangiocarcinoma (CCA) cell lines including HuCCA-1, KKU-100, KKU-M213, and RMCCA-1. The anti-migration activity and the corresponding mechanism were studied in highly metastatic KKU-M213 cells. The results indicated that andrographolide significantly inhibited the proliferation of CCA cells with the 50% inhibitory growth concentration (IC50) of ∼120 µM. Andrographolide also inhibited CCA cell migration and invasion. Our further explorations demonstrated that andrographolide decreased the expression of claudin-1, a major tight junction protein, while it up-regulated the expression of Snail, a transcriptional repressor of claudin-1. Moreover, andrographolide induced the phosphorylation of Jun N-terminus kinase (JNK) and p-38 Mitogen-activated protein kinase (MAPK). Treatment with the p-38-specific inhibitor recovered the claudin-1 expression and migration ability of CCA cells. This work demonstrated the potential anticancer effects of andrographolide, indicating that andrographolide could inhibit CCA cell migration via suppression of claudin-1 through the activation of p-38 MAPK signaling pathway. This compound would be useful for development of alternative therapeutic agent for CCA.
The Differences in the Socio-Economic Levels and Blood Vessel Health States in Asian Countries

Recently, studies on the impact of economic growth on health outcomes have generated various conflicting results. In particular, these results get clear with regard to cardiovascular disease (1). Socioeconomic level affects the increase in cardiovascular disease prevalence (2). Nevertheless, the degree of impact of socioeconomic level and cardiovascular disease on study findings can be controlled through statistical or measurement methods. For instance, vascular stiffness measurements such as pulse wave velocity can independently predict the risk of cardiovascular disease (3). Thus, we aimed to investigate the relationship between socioeconomic level, measured based on the gross national income (GNI), which represents the economic level index of a country, and vascular health, by measuring GNI and pulse wave delay time of 10 representative Asian countries. The risk of cardiovascular disease was measured at K corporation in A city, GyeongGi province, Republic of Korea from June to September 2018. We included 1009 (males 505, females 504) individuals from 10 countries (China, India, Japan, Korea, Malaysia, Mongolia, Philippines, Singapore, Thailand, and Vietnam) who were currently living in Korea. The physical characteristics of the participants are detailed in Table 1.
Web Services Explained Solutions And Applications For The Real World

Thank you very much for reading web services explained solutions and applications for the real world. Maybe you have knowledge that, people have search hundreds times for their favorite books like this web services explained solutions and applications for the real world, but end up in malicious downloads. Rather than reading a good book with a cup of coffee in the afternoon, instead they cope with some harmful bugs inside their desktop computer.
Hepatoprotective role of Legalon 70 against hydrogen peroxide in chickens

Objectives: This study aimed at evaluating the effect of Legalon 70, a standard hepatic drug of silymarin, in reducing the toxic effects of hydrogen peroxide (H2O2) in broiler chickens. Methods: Twenty Ross broiler chickens of 30-day old were divided into four groups, Group 1 control, received drinking tap water, Group 2 treated with 0.5% H2O2 in drinking water, Group 3 treated with 0.5% H2O2 and 3 mg/Kg Legalon 70 daily, and Group 4 treated with a single oral dose of 3 mg/Kg Legalon 70 daily. After 4 weeks of the treatment, chickens were killed and the serum collected for the measuring of liver functions parameters, and the liver tissues used for processing the histological examination. Results: The results indicated that H2O2 treatment significantly elevated serum aspartate aminotransferase and alanine aminotransferase, and bilirubin level (direct and total) and decreased level of serum albumin comparing with control group. Treatment with Legalon 70 significantly reversed the H2O2-induced alteration and has positive effects on the liver functions parameters. Results of histopathology of H2O2-treated group showed severe vascular congestion, alveolar damage, and inflammatory cell infiltration, silymarin treatment blocked these changes and reduced the toxic effects of H2O2 toward liver cells. Conclusion: We concluded that silymarin induces the liver function recovery and considered in the treatment of liver injury. Silymarin, a major component of milk thistle, has been used as a hepatoprotector.
Molecular and Morphological Evidence of Hepatotoxicity after Silver Nanoparticle Exposure: A Systematic Review, In Silico, and Ultrastructure Investigation

Silver nanoparticles (AgNPs) have been widely used in a variety of applications in innovative development; consequently, people are more exposed to this particle. Growing concern about toxicity from AgNP exposure has attracted greater attention, while questions about nanosilver-responsive genes and consequences for human health remain unanswered. By considering early detection and prevention of nanotoxicology at the genetic level, this study aimed to identify 1) changes in gene expression levels that could be potential indicators for AgNP toxicity and 2) morphological phenotypes correlating to toxicity of HepG2 cells. To detect possible nanosilver-responsive genes in xenogenic targeted organs, a comprehensive systematic literature review of changes in gene expression in HepG2 cells after AgNP exposure and in silico method, connection up- and down-regulation expression analysis of microarrays (CU-DREAM), were performed. In addition, cells were extracted and processed for transmission electron microscopy to examine ultrastructural alterations. From the Gene Expression Omnibus (GEO) Series database, we selected genes that were up- and down-regulated in AgNPs, but not up- and down-regulated in silver ion exposed cells, as nanosilver-responsive genes. HepG2 cells in the AgNP-treated group showed distinct ultrastructural alterations. Our results suggested potential representative gene data after AgNPs exposure provide insight into assessment and prediction of toxicity from nanosilver exposure.
Validation of Diet History Questionnaire in Assessing Energy and Nutrient Intakes of Iranian Population

Background: This study described validity of Diet History Questionnaire (DHQ) for assessing energy and nutrient intake among Iranian population. Methods: A group of experienced nutritionists translated the DHQ to Farsi language and modified it based on Iranian food habits and cooking methods. We recruited 244 healthy adults with a mean age of 42.83 ± 0.75 yrs. from healthy individuals who were friends or relatives of patients in the Cancer Institute of Iran from April 2011 to February 2012. We used the DHQ to assess dietary intakes through interviews as well as at least four 24-h recalls one in every season. Reliability was estimated by comparing data of DHQ with mean intake from 24-hour recalls using deattenuated and energy-adjusted Spearman correlation coefficients. We classified dietary intakes of two methods into three groups to probe if DHQ correctly allocates subjects into different intake groups compared to reference method. The results are reported as percent of disagreement, adjacent agreement, and complete agreement. Results: Deattenuated spearman correlation ranged from 0.18 for vitamin B12 and fat to 0.60 for sugar. It ranged from 0.13 for pantothenic acid to 0.60 for sugar in men and from 0.07 for fat to 0.58 for sugar in females. The complete agreement of methods ranged from 51% for selenium to 36% for carotene in the entire sample, from 50% for energy to 31% for niacin in males and from 49% for sugar to 27% for vitamin B12 in females. Conclusion: The DHQ is a valid tool for assessing most nutrients intake among Iranian population. In addition, it is a proper instrument in categorizing individuals based on their dietary intakes.
Cinnamomum camphora Leaves Alleviate Allergic Skin Inflammatory Responses In Vitro and In Vivo

In this study, we investigated the therapeutic potential of Cinnamomum camphora leaves on allergic skin inflammation such as atopic dermatitis. We evaluated the effects of C. camphora leaves on human adult low-calcium high-temperature keratinocytes and atopic dermatitis mice. C. camphora leaves inhibited Macrophage-derived chemokine (an inflammatory chemokine) production in interferon-γ (10 ng/mL) stimulated Human adult low-calcium high-temperature keratinocytes in a dose dependent manner. C. camphora leaves suppressed the phosphorylation of janus kinase signal transducer and activator of transcription 1. C. camphora leaves also suppressed the phosphorylation of extracellular signal-regulated kinase 1/2, a central signaling molecule in the inflammation process. These results suggest that C. camphora leaves exhibits anti-inflammatory effect via the phosphorylation of signal transducer and activator of transcription 1 and extracellular signal-regulated kinase 1/2. To study the advanced effects of C. camphora leaves on atopic dermatitis, we induced experimental atopic dermatitis in mice by applying 2,4-dinitrochlorobenzene. The group treated with C. camphora leaves (100 mg/kg) showed remarkable improvement of atopic dermatitis symptoms: reduced serum immunoglobulin E levels, smaller lymph nodes with reduced thickness and length, decreased ear edema, and reduced levels of inflammatory cell infiltration in the ears. Interestingly, the effects of C. camphora leaves on atopic dermatitis symptoms were stronger than those of hydrocort cream, a positive control. Taken together, C. camphora leaves showed alleviating effects on the inflammatory chemokine production in vitro and atopic dermatitis symptoms in vivo . These results suggest that C. camphora leaves help in the treatment of allergic inflammation such as atopic dermatitis.
Investigating the Prevalence of Sleep Disorder and the Impact of Sweet Almond on the Quality of Sleep in Students of Tehran, Iran

Background: Insomnia is an important problem in medical sciences students and has implications for their educational progress. The current study aimed to estimate the prevalence of sleep disorders and investigating the impact of sweet almond on quality of sleep in students of the Tehran University of Medical Sciences (TUMS), Tehran, Iran who live in dormitories. Methods: This is a before-after study conducted in 2017. At first, using the ISI questionnaire prevalence of sleep disorders was determined. Sweet almond was the study intervention. Each day, 10 almonds were given to 446 students for 14 d. At the end of the second week, again ISI questionnaire was filled. SPSS was used to analyze data. The McNemar, Wilcoxson Signed Ranks, and Repeated Measures tests were used. Results: Out of 442 participants, 217 (49.1%) were female. Before intervention, 343 (77.6%) had insomnia and 99 (22.4%) had normal sleep. After intervention, 306 (69.2%) had insomnia and 136 (30.8%) had normal sleep. Having sweet almond for two weeks is associated with reducing insomnia (P<0.05). Investigating the almond impact in different categories also showed that it has a reducing impact on severe, mild, weak and normal sleep categories (P<0.05). Conclusion: Sweet almond has impacts on quality of sleep of those students of the TUMS that are living in dormitories. Intervention programs to improve quality of sleep are necessary and with regard to the high prevalence of insomnia, students must be protected, guided and consulted.
MiR-195-5p Promotes Cardiomyocyte Hypertrophy by Targeting MFN2 and FBXW7

Cardiac hypertrophy mainly predicts heart failure and is highly linked with sudden loss of lives. MicroRNAs (miRNAs) play essential roles in the development of cardiac hypertrophy through binding to corresponding mRNA targets. In this study, in order to investigate the roles of two mature forms of miRNA-195, miR-195-3p, and miR-195-5p, in vitro and in vivo models of cardiac hypertrophy were established by applying angiotensin II (Ang II) to H9c2 cardiomyocytes and infusing chronic Ang II to mice, respectively. We found that miR-195-5p was evidently equally upregulated in the in vitro and in vivo studies of cardiac hypertrophy induced by Ang II. High expressed miR-195-5p could adequately promote hypertrophy, whereas the suppression of miR-195-5p prevented hypertrophy of H9c2 cardiomyocytes under Ang II treatment. Furthermore, the luciferase reporter system demonstrated that MFN2 and FBWX7 were target genes of miR-195-5p, which negatively regulated the expression of these two genes in H9c2 cells. By contrast, in both models, expression of miR-195-3p was only slightly changed without statistical significance. In addition, we observed a trend towards decreased expression of hypertrophic markers by overexpressing miR-195-3p in AngII-treated H9c2 cardiomyocytes in vitro. Taken together, our study indicates that miR-195-5p promotes cardiac hypertrophy via targeting MFN2 and FBXW7 and may provide promising therapeutic strategies for interfering cardiac hypertrophy.
Transcriptome Analysis Reveals the Effect of Long Intergenic Noncoding RNAs on Pig Muscle Growth and Fat Deposition

Muscle growth and fat deposition are the two important biological processes in the development of pigs which are closely related to the pig production performance. Long intergenic noncoding RNAs (lincRNAs), with lack of coding potential and the length of at least 200nt, have been extensively studied to play important roles in many biological processes. However, the importance and molecular regulation mechanism of lincRNAs in the process of muscle growth and fat deposition in pigs are still to be further studied comprehensively. In our study, we used the data, including liver, abdominal fat, and longissimus dorsi muscle of 240 days' age of two F2 full-sib female individuals from the white Duroc and Erhualian crossbreed, to identify 581 putative lincRNAs associated with pig muscle growth and fat deposition. The 581 putative lincRNAs shared many common features with other mammalian lincRNAs, such as fewer exons, lower expression levels, and shorter transcript lengths. Cross-tissue comparisons showed that many transcripts were tissue-specific and were involved in the important biological processes in their corresponding tissues. Gene ontology and pathway analysis revealed that many potential target genes (PTGs) of putative lincRNAs were involved in pig muscle growth and fat deposition-related processes, including muscle cell proliferation, lipid metabolism, and fatty acid degradation. In Quantitative Trait Locus (QTLs) analysis, some PTGs were screened from putative lincRNAs, MRPL12 is associated with muscle growth, GCGR and SLC25A10 were associated with fat deposition, and PPP3CA, DPYD, and FGGY were related not only to muscle growth but also to fat deposition. Therefore, it implied that these lincRNAs might participate in the biological processes related to muscle growth or fat deposition through homeostatic regulation of PTGs, but the detailed molecular regulatory mechanisms still needed to be further explored. This study lays the molecular foundation for the in-depth study of the role of lincRNAs in the pig muscle growth and fat deposition and further provides the new molecular markers for understanding the complex biological mechanisms of pig muscle growth and fat deposition.
A study of the phonetic detail used in lexical tasks during infancy

In speech perception tasks young infants show remarkable sensitivity to fine phonetic detail. Despite this impressive ability demonstrated at early ages, studies of word learning in young toddlers indicate that they have difficulty learning similar-sounding words. This evidence suggests that infants may not be using this speech-perception ability as they begin to learn words. The studies in this thesis were designed to test how infants' speech-perception skills are used in the early stages of word learning. Using a simple habituation procedure, we have shown in earlier work that 14-month-old infants, but not younger infants, are able to learn the association between novel nonsense words and objects (Werker, Cohen, Lloyd, Casasola, & Stager, 1998). The current series of experiments used this simple habituation procedure to test whether infants use minimally contrastive phonetic detail in the very early stages of word learning. In this thesis, I show that 14-month-old infants, who are on the cusp of word learning, while still able to discriminate phonetically-similar words in a speech perception task, do not incorporate minimally contrastive phonetic detail when first forming word-object associations. Infants of 8 months of age do, however, appear to use fine phonetic detail in a similar task. Taken together, these results suggest a decline in the phonetic detail used by infants as they move from processing speech to learning words. I hypothesize that this decline may occur as infants move from treating the task as one of speech perception to treating the task as one of word learning.
Towards to Reasonable Decision Basis in Automatic Bone X-Ray Image Classification: A Weakly-Supervised Approach

A weakly-supervised framework is proposed that cannot only make class inference but also provides reasonable decision basis in bone X-ray images. We implement it in three stages progressively: (1) design a classification network and use positive class activation map (PCAM) for attention location; (2) generate masks from attention maps and lead the model to make classification prediction from the activation areas; (3) label lesions in very few images and guide the model to learn simultaneously. We test the proposed method on a bone X-ray dataset. Results show that it achieves significant improvements in lesion location.
Event Detection using Images of Temporal Word Patterns

Detecting events from social media requires to deal with the noisy sequences of user generated text. Previous work typically focuses either on semantic patterns, using e.g. topic models, or on temporal patterns of word usage, e.g. using wavelet analysis. In our study, we propose a novel method to capture the temporal patterns of word usage on social media, by transforming time series of word occurrence frequency into images, and clustering images using features extracted from the images using the convolutional neural network ResNet. These clusters are then ranked by burstiness, identifying the top ranked clusters as detected events. Words in the clusters are also filtered using co-occurrence similarity, in order to identify the most representative words describing the event. We test our approach on one Instagram and one Twitter datasets, and obtain performance of up to 80% precision from the top five detected events on both datasets.
Lipper: Speaker Independent Speech Synthesis Using Multi-View Lipreading

Lipreading is the process of understanding and interpreting speech by observing a speaker’s lip movements. In the past, most of the work in lipreading has been limited to classifying silent videos to a fixed number of text classes. However, this limits the applications of the lipreading since human language cannot be bound to a fixed set of words or languages. The aim of this work is to reconstruct intelligible acoustic speech signals from silent videos from various poses of a person which Lipper has never seen before. Lipper, therefore is a vocabulary and language agnostic, speaker independent and a near real-time model that deals with a variety of poses of a speaker. The model leverages silent video feeds from multiple cameras recording a subject to generate intelligent speech of a speaker. It uses a deep learning based STCNN+BiGRU architecture to achieve this goal. We evaluate speech reconstruction for speaker independent scenarios and demonstrate the speech output by overlaying the audios reconstructed by Lipper on the corresponding videos.
Counterfactual Reasoning in Observational Studies

To identify the appropriate action to take, an intelligent agent must infer the causal effects of every possible action choices. A prominent example is precision medicine that attempts to identify which medical procedure will benefit each individual patient the most. This requires answering counterfactual questions such as: ""Would this patient have lived longer, had she received an alternative treatment? "". In my PhD, I attempt to explore ways to address the challenges associated with causal effect estimation; with a focus on devising methods that enhance performance according to the individual-based measures (as opposed to population-based measures).
Corpus of News Articles Annotated with Article Level Sentiment

Research on sentiment analysis is in its mature status. Studies on this topic have proposed various solutions and datasets to guide machine-learning approaches. However, so far the sentiment scoring is restricted to the level of short textual units such as sentences. Our comparison shows that there is a huge gap between machines and human judges when the task is to determine sentiment scores of a longer text such as a news article. To close this gap, we propose a new human-annotated dataset containing 250 news articles with sentiment labels at article level. Each article is annotated by at least 10 people. The articles are evenly divided into fake and non-fake categories. Our investigation on this corpus shows that fake articles are significantly more sentimental than non-fake ones. The dataset will be made publicly available. Copyright © 2019 for the individual papers by the papers’ authors. Copying permitted for private and academic purposes. This volume is published and copyrighted by its editors. In: A. Aker, D. Albakour, A. Barrón-Cedeño, S. Dori-Hacohen, M. Martinez, J. Stray, S. Tippmann (eds.): Proceedings of the NewsIR’19 Workshop at SIGIR, Paris, France, 25-July-2019, published at http://ceur-ws.org
Learning Generalized Temporal Abstractions across Both Action and Perception

Learning temporal abstractions which are partial solutions to a task and could be reused for other similar or even more complicated tasks is intuitively an ingredient which can help agents to plan, learn and reason efficiently at multiple resolutions of perceptions and time. Just like humans acquire skills and build on top of already existing skills to solve more complicated tasks, AI agents should be able to learn and develop skills continually, hierarchically and incrementally over time. In my research, I aim to answer the following question: How should an agent efficiently represent, learn and use knowledge of the world in continual tasks? My work builds on the options framework, but provides novel extensions driven by this question. We introduce the notion of interest functions. Analogous to temporally extended actions, we propose learning temporally extended perception. The key idea is to learn temporal abstractions unifying both action and perception.