Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect and Mechanism of miR-24-3p on Proliferation and Migration in Human Cervical Cancer Cells

This study aimed to investigate the role of miR-24-3p in the proliferation and migration of cervical cancer cells and its mechanism. miR-24-3p inhibitors were used to down-regulate the expression of miR-243p in cervical cancer cells, then MTT Transwell assays and Western blot were used to measure cell proliferation, migration and the protein level of the proliferating cell nuclear antigen. The target genes of miR-24-3p were predicted and then used for function annotation through bioinformatic methods. The relationship between miR-243p and target gene AMOTL2 (angiomotin-like 2) was verified by dual-luciferase reporter system and Western blot, siRNA inhibited AMOTL2 was used to detect its effect on cervical cancer cell migration. Data showed that downregulating miR-24-3p could inhibit the proliferation and migration ability of cervical cancer cells and reduce PCNA protein expression. Its target genes were mainly present in the cell-cell junction component, and were sig-
Noncatalytic hydrogenation of natural rubber latex

Hydrogenation is an important method of chemical modification, which improves the physical, chemical, and thermal properties of diene-based elastomers. Natural rubber latex (NRL) could be hydrogenated to a strictly alternating ethylene–propylene copolymer using diimide generated in an in situ system. The diimide generated using the in situ technique for hydrogenation of NRL was accomplished by thermolysis of p-toluenesulfonyl hydrazide (TSH). A molar ratio of TSH to double bonds equal to 2 : 1 was found to be the optimum ratio to provide a high percentage of hydrogenation. 95% Degree of saturation of NRL was achieved in o-xylene. Hydrogenated products are characterized by FTIR and NMR spectroscopy. The thermal stability of hydrogenated rubber was improved as shown from the results of thermogravimetric analysis. From the differential scanning calorimetry measurement, the glass transition temperature of the hydrogenated product did not appear to change. © 2006 Wiley Periodicals, Inc. J Appl Polym Sci 103: 2885–2895, 2007
The Case for a Job Guarantee Policy in Germany – a political-economic analysis of the potential benefits and obstacles

As a bottom-up approach, a Job Guarantee policy can tackle the issue of unemployment on the macroeconomic, socioeconomic, and individual level in a unique way and promote the social inclusion of the unemployed. This paper aims at analysing the potential obstacles – namely inflationary pressure and financing – of a Job Guarantee policy implementation in the case of Germany. A Job Guarantee’s impact on inflation depends on excess production capacities of economic sectors as well as collective wage bargaining structures. In this regard, this paper concludes that under a correct policy design inflationary pressure is no major obstacle. Strengthening workers’ bargaining power in Germany through a Job Guarantee policy could even contribute to reaching the inflation target and prevent deflation. However, deficiencies of the European institutional setup and the analogous restrictive fiscal mantra at European and national level limit the political scope for financing a Job Guarantee policy. Notwithstanding, a small to medium size Job Guarantee programme – comprising up to all currently unemployed willing to work – is politically and legally feasible.
Fault-Tolerant Reinforcement Learning in Continuous Time

Reinforcement learning (RL) is applicable in a wide number of settings such as robotics and industrial applications. Presently, continuous-time RL methods fail to produce frameworks that are reliable in instances of abrupt systemic failures, actuator faults and random stoppages. To this end, we propose a new framework that enables an RL agent to learn controls that are robust against faults and random stop-pages in worst case scenarios suitable for applications with continuous state and action spaces. We use a path integral (PI) formulation that enables efficient and expedient learning, suitable for numerous practical applications. By constructing a variant of a stochastic game between a player that controls the dynamics ‘controller’ and a player that terminates the game ‘stopper’, we prove theoretical results that transform the problem into an approximation problem of a path integral with no open algorithmic parameters beyond exploration noise.
Integrated biological networks associated with platinum-based chemotherapy response in ovarian cancer

Ovarian cancer is a highly lethal gynecologic cancer, partly due to resistance to platinum-based chemotherapy reported among 20-30% of patients. This study aims to elucidate the biological mechanisms underlying chemotherapy resistance, which remain poorly understood. Using mRNA and microRNA sequencing data from high-grade serous ovarian cancer (HGSOC) patients from The Cancer Genome Atlas, we identified transcripts and networks associated with chemotherapy response. In total, 196 differentially expressed mRNAs were enriched for adaptive immunity and translation, and 21 differentially expressed microRNAs were associated with angiogenesis. Moreover, co-expression network analysis identified two mRNA networks associated with chemotherapy response, which were enriched for ubiquitination and lipid metabolism, as well as three associated microRNA networks enriched for lipoprotein transport and oncogenic pathways. In addition, integrative analyses of these sequence datasets revealed potential regulation of the mRNA networks by the associated microRNAs and single nucleotide polymorphisms. Thus, we report novel transcriptional networks and pathways associated with resistance to platinum-based chemotherapy among HGSOC patients. These results aid our understanding of the effector networks and regulators of chemotherapy response, which will improve drug efficacy and identify novel therapeutic targets for ovarian cancer. Highlights mRNA and miRNA transcript networks associated with adjuvant chemotherapy response Integrative omics data analysis identified regulatory miRNAs and eQTLs Protein ubiquitination and immune activation associated with chemosensitivity Increased translation and lipid metabolism may promote chemoresistance
Efficacy of Shakuba Trvalsartan Combined with Trimetazidine in Elderly Patients with Chronic Heart Failure and the Effects of Related Inflammatory Factors*

摘要 目的:探究沙库巴曲缬沙坦联合曲美他嗪治疗老年慢性心力衰竭竭的疗效及相关炎症因子影响。 方法:随机选取 2018年 1 月 ~2019年 10月期间在本院接受治疗的 60例慢性心力衰竭老年患者,将其随机平分为对照组和研究组,每组各 30例,其中对 照组在常规治疗的基础上给予沙库巴曲缬沙坦进行治疗,研究组在对照组的基础上给予曲美他嗪进行治疗,两组患者均连续治 疗 3个月,对比两组治疗总有效率,两组治疗前后的心功能指标,两组治疗前后的炎性因子水平,两组治疗期间的不良反应发生 率。 结果:研究组的治疗总有效率显著高于对照组 (93.33 % vs.76.67 %,P<0.05)。 治疗前,两组的左心室收缩末期内径(left ventricular end-systolic diameter, LVESD)、左心室舒张末期内径(left ventricular end-diastolic diameter,LVEDD)、左心室射血分数 (left ventricular ejection fraction, LVEF)、血浆 N-末端脑钠素前体(N-terminal pro-brain natriuretic peptide,NT-pro BNP)等心功能指 标对比均无统计学差异(P>0.05);治疗后,两组的 LVEDD、LVESD、NT-pro BNP指标均比治疗前显著降低,LVEF水平均比治疗 前显著升高(P<0.05),且研究组更优(P<0.05);治疗前,两组的超敏 C反应蛋白(high-sensitivity C-reactive protein, hs-CRP)、白介 素 6(interleukin 6, IL-6)、IL-1、肿瘤坏死因子 琢(tumor necrosis factor 琢, TNF-琢)等炎性因子水平对比均无统计学差异(P>0.05);治 疗后,两组的上述指标均比治疗前显著降低(P<0.05),且研究组更低(P<0.05);治疗期间,对照组的不良反应发生率 10.0 %(3/30) 与研究组 13.3 %(4/30)之间无显著性差异(P>0.05)。 结论:沙库巴曲缬沙坦联合曲美他嗪治疗老年慢性心力衰竭的效果显著,该 方法可有效改善患者的心功能和炎症因子水平,且不良反应未增加,值得临床推广使用。 关键词:沙库巴曲缬沙坦;曲美他嗪;老年慢性心力衰竭;炎症因子 中图分类号:R541.61 文献标识码:A 文章编号:1673-6273(2020)18-3502-04
Effect of temperature on the build-up and post hydrothermal processing of hydrogen-bonded PVPON/PAA film

Hydrogen-bonded films were prepared by layer-by-layer (LBL) assembly of poly(vinylpyrrolidone) (PVPON) and poly(acrylic acid) (PAA). The effect of temperature on the build-up and post hydrothermal process was studied in detail. It was found that the film's cloudiness was sensitive to the fabrication temperature. Below 20 °C the film was cloudy, while above 25 °C it was transparent. The temperature region from 20–25 °C was a mixed zone, transiting from cloudy to transparent. The thickness growth exhibited different temperature dependencies in the cloudy and transparent temperature regions. In the cloudy temperature region it was 5–6 nm °C−1 per cycle while in the transparent temperature region it was as high as 15–16 nm °C−1. At 50 °C, the film thickness increment of a single deposition step reached to ∼600 nm, which was considered as one of the fastest growth rates in LBL assembly. The post hydrothermal processing of the film was performed in acidic water (pH = 2.0) at temperatures higher than the build-up temperature. As the hydrothermal processing temperature elevated to 90 °C, the Fabry-Perot fringes gradually disappeared and a morphology full of pits formed, like the film that was prepared by layer-by-layer assembly at 50 °C.
Effect of the solvent on improving the recognition properties of surface molecularly imprinted polymers for precise separation of erythromycin

The formation of thin films with imprinting sites that can be accessed more rapidly by target molecules is an improvement in bulk molecular imprinting polymers. To achieve suitable properties for specific application, on the basis of our previous study of bulk erythromycin (ERY) imprinted polymers, we here rationally design, generate and test surface-imprinted polymers specific for ERY. ERY-A surface-imprinted glass fibers (GF-MIPs) were fabricated using glass fibers as the matrix, methacrylic acid (MAA) as the functional monomer, ethyleneglycol dimethacrylate (EGDMA) as the cross-linker and azobis(4-cyanovaleric acid) as the initiator. Then, we specifically studied the effect of the solvent on the recognition performance of the GF-MIPs. 13C-NMR and isothermal titration calorimetry (ITC) measurements were employed to demonstrate that the addition of NH3·H2O can block the interactions between the –COOH group and the tertiary amine on ERY-A. The results of static adsorption and dynamic separation experiments also indicate that an increase of specificity can easily be obtained by mediating the solvent environment, thus satisfying the more stringent requirements of precise separation.
OP-SCAN160121 169..183

Recent behavioral and neuroimaging studies demonstrate that labeling one’s emotional experiences and perceptions alters those states. Here, we used a comprehensive meta-analysis of the neuroimaging literature to systematically explore whether the presence of emotion words in experimental tasks has an impact on the neural representation of emotional experiences and perceptions across studies. Using a database of 386 studies, we assessed brain activity when emotion words (e.g. ‘anger’, ‘disgust’) and more general affect words (e.g. ‘pleasant’, ‘unpleasant’) were present in experimental tasks vs not present. As predicted, when emotion words were present, we observed more frequent activations in regions related to semantic processing. When emotion words were not present, we observed more frequent activations in the amygdala and parahippocampal gyrus, bilaterally. The presence of affect words did not have the same effect on the neural representation of emotional experiences and perceptions, suggesting that our observed effects are specific to emotion words. These findings are consistent with the psychological constructionist prediction that in the absence of accessible emotion concepts, the meaning of affective experiences and perceptions are ambiguous. Findings are also consistent with the regulatory role of ‘affect labeling’. Implications of the role of language in emotion construction and regulation are discussed.
Cluster Validity on Clustering Semantic Structural Documents

-Recently, the amount of XML data is in increasing as electronic document systems adopt XML as the standard format in document exchange. With great increase in online information, XML document clustering takes a critical role in efficient document organization, navigation, and retrieval of a large amount of documents. In order to analyze the information represented in XML documents efficiently, researches on XML document clustering are actively in progress. Clustering a XML document collection is an ambiguous task: A clustering, i. e. a set of XML document groups, depends on the chosen clustering algorithm as well as on the algorithm’s parameter settings. To find the best among several clustering result, it is common practice to evaluate their internal structures with a cluster validity measure. A clustering is considered to be useful to a user if particular structural properties are well developed. Nevertheless, the presence of certain structural properties may not guarantee usefulness from an information retrieval standpoint, say, whether or not the found XML document groups resemble the classification of a human editor. The paper in hand investigates this point: Based on already classified XML document collections we generate clustering and compare the predicted quality to their real quality. Our analysis includes the classical cluster validity measures from Dunn and Davies-Bouldin as well as the new proposed measuring WGV (within-group-variance) and BGV (between-group-variance) combining the distance measure with the μ membership within the cluster.
AN ASSESMENT OF MICROFINANCE INSTITUTIONS CAPACITY ON IMPROVING SMALL AND MEDIUM SCALED ENTERPRISES. A CASE STUDY OF DAR ES SALAAM REGION

This study aimed to examine the capacity of microfinance institutions towards improving the performance of Small and Medium Enterprises in Dar es Salaam City. In particular it intended to determine the extent to which MSEs have been benefiting from the MFIs services, identify the types of services that MSEs have been receiving from MFIs, examine the pre-requisites to be met by the MSEs in order to get services from the MFIs and lastly it was aimed to examine the MFIs needs towards enhancement of MSEs performance. The study adopted a mixed method approach in carrying out the study. Data were collected from a range of sources by using different data collection techniques. Primary data were collected through the use of questionnaires whereby the secondary data were collected through documentation review. The data collected from the respondents are presented in chapter four. The results show that there is huge potential demand for support services which is not adequately met by the existing Micro finance institutions framework. The institutional framework for supporting SMEs was found to be constrained by inadequate financial and human resource capacity as reflected in the stringent conditions imposed on SMEs and strategies adopted to promote service delivery. The study concludes that microfinance institutions in Dar es Salaam have inadequate capacity that can help to improve the performance of SMEs. Therefore there is a need to strengthen level of awareness about what services are provided by MFIs for better development of Small and Medium Enterprises in Dar es Salaam city.
Scrutinizing the issues and challenges faced by postgraduate students: An effort to design specific programs to inculcate research culture

This paper presents issues and challenges faced by postgraduate research students who are enrolled in Master and Ph.D programs at the Faculty of Administrative Science & Policy Studies (FSPPP), Universiti Teknologi MARA, Selangor. The aim of this study is to explore students’ feedback and evaluation pertaining to their research progress, issues and challenges which lead to the implementation and construction of a specific program to support them in their research work. A qualitative approach using verbal and written interviews involving 16 research students was undertaken within a two-month period (October – November 2015) and their feedback was analyzed. The findings of this study reveal that more than half of the respondents indicated that ‘academic writing’ is their main issue and challenge throughout their period of study. The respondents claimed that they have difficulties in conveying their ideas into writing, restructuring sentences, building research arguments and lack of writing skills. Aside from academic writing, the respondents stated that ‘individual problems’, ‘personal problems’, ‘research method and techniques’ and ‘supervision’ are among the main issues and challenges that they encounter during their study. Further, the respondents provided suggestions and expectations to the faculty to assist them in their research. Following the inquiry on issues and challenges as well as suggestions, the faculty has taken a number of initiatives to support the research students. One of the remarkable initiatives is the implementation of the Graduate Researches in Print (GRiP) program to assist students in academic writing with an effective support group among their peers. The faculty has also implemented a number of workshops and seminars at the faculty level. The research students were strongly encouraged to attend programs, seminars and workshops organized by the Institute of Graduate Study (IGS), libraries and others. This study concludes that exploring students’ feedback on the issues and challenges as well as their suggestions and expectations is an effective way to design and implement initiatives and programs to support and assist them in their research journey. This can be considered as one of the best initiatives taken by the faculty to support research students, boost research culture and continuously encourage students to produce sound and quality research.
Impact of Parent-Adult Relationship on Self-Esteem and Academic Achievement among University Students

The term parent-adult relationship refers to the unique and enduring bond between a caregiver and his or her adult child. To understand the parent-adult relationship, we must look at the ways that parents and adults interact with one another physically, emotionally, and socially. Many psychologists believe that he relationships between parents and adults are very important in determining who we become and how we relate to others and the world.
The association between red cell distribution width to total calcium ratio and syntax score in patients with acute coronary syndrome

Corresponding author/Sorumlu yazar: Uğur Küçük Address/Adres: Numune Devlet Hastanesi Kardiyoloji Kliniği, Sivas, Türkiye E-mail: drugurkucuk@hotmail.com � Ethics Committee Approval: All procedures in this study involving human participants were performed in accordance with the 1964 Helsinki Declaration and its later amendments. Etik Kurul Onayı: İnsan katılımcıların katıldığı çalışmalardaki tüm prosedürler, 1964 Helsinki Deklarasyonu ve daha sonra yapılan değişiklikler uyarınca gerçekleştirilmiştir. � Conflict of Interest: No conflict of interest was declared by the authors. Çıkar Çatışması: Yazarlar çıkar çatışması bildirmemişlerdir. � Financial Disclosure: The authors declared that this study has received no financial support. Finansal Destek: Yazarlar bu çalışma için finansal destek almadıklarını beyan etmişlerdir. � Published: 9/27/2020 Yayın Tarihi: 27.09. 2020
Adenosine Receptor and Its Downstream Targets, Mod(mdg4) and Hsp70, Work as a Signaling Pathway Modulating Cytotoxic Damage in Drosophila

Adenosine (Ado) is an important signaling molecule involved in stress responses. Studies in mammalian models have shown that Ado regulates signaling mechanisms involved in ‘danger-sensing’ and tissue-protection. Yet, little is known about the role of Ado signaling in Drosophila. In the present study, we observed lower extracellular Ado concentration and suppressed expression of Ado transporters in flies expressing mutant huntingtin protein (mHTT). We altered Ado signaling using genetic tools and found that the overexpression of Ado metabolic enzymes, as well as the suppression of Ado receptor (AdoR) and transporters (ENTs), were able to minimize mHTT-induced mortality. We also identified the downstream targets of the AdoR pathway, the modifier of mdg4 (Mod(mdg4)) and heat-shock protein 70 (Hsp70), which carry out its function. Finally, we showed that a decrease in Ado signaling affect other Drosophila stress reactions, including paraquat and heat-shock treatments. Our study provides important insights into how Ado regulates stress responses in Drosophila.
DISTANCE-BASED CHANGE-POINT DETECTION WITH ENTROPY ESTIMATION

Change-point detection is a problem of ﬁnding time points where stochastic properties of time series suddenly change. This problem has been actively discussed under various contexts in the area of data mining. We introduce a non-parametric method for change-point detection by an entropy estimator. Since our entropy estimator is based on distances between data points, it is applied not only for ordinal vectorial data but also variable length data and non vectorial data. We will demonstrate its validity through numerical experiments with real-world data.
Effects of plant community history, soil legacy and plant diversity on soil microbial communities

Plant and soil microbial diversities are linked through a range of interactions, including the exchange of carbon and nutrients but also herbivory and pathogenic effects. Over time, associations between plant communities and their soil microbiota may strengthen and become more specific, resulting in stronger associations between plant and soil microbial diversity. We tested this hypothesis at the end of a 4‐year field experiment in 48 plots with different plant species compositions established 13 years earlier in a biodiversity experiment in Jena, Germany. We factorially crossed plant community history (old vs. new plant communities) and soil legacy (old vs. new soil) with plant diversity (species richness levels 1, 2, 4 and 8, each with 12 different species compositions). We use the term ‘plant community history’ to refer to the co‐occurrence history of plants in different species compositions in the Jena Experiment. We determined soil bacterial and fungal community composition in terms of operational taxonomic units (OTUs) using 16S rRNA gene and ITS DNA sequencing. Plant community history (old plants) did not affect overall soil community composition but differentially affected bacterial richness and abundances of specific bacterial taxa in association with specific plant species compositions. Soil legacy (old soil) markedly increased soil bacterial richness and evenness and decreased fungal evenness. Soil fungal richness increased with plant species richness, regardless of plant community history or soil legacy, with the strongest difference between plant monocultures and mixtures. Specific plant species compositions and functional groups were associated with specific bacterial and fungal community compositions. Grasses increased fungal richness and evenness and legumes decreased fungal evenness, but bacterial diversity was not affected. Synthesis. Our findings indicate that as experimental ecosystems varying in plant diversity develop over time (2002–2010), plant species associate with specific soil microbial taxa. This can have long‐lasting effects on below‐ground community composition in re‐assembled plant communities, as reflected in strong soil legacy signals still visible after 4 years (2011–2015). Effects of plant community history on soil communities are subtle and may take longer to fully develop.