Miracle-dz/UniFAR-FTUs huggingface dataset:
OTT_A_243040 8233..8243

Zhonghai Wang Wenmin Zhang Jinchuan Fang Ping Xie Miao Miao Hongwen Yang 1Department of Gynecology, Huazhong University of Science and Technology, Shenzhen, Guangdong 518052, People’s Republic of China; 2Women & Children Health Institute Futian Shenzhen, Shenzhen, Guangdong 518017, People’s Republic of China Background: Evidence has been shown that circular RNAs (circRNAs) play a vital role during the development of ovarian cancer. However, the mechanism by which circEXOC6B regulates tumorigenesis of ovarian cancer remains unknown. Thus, this study aimed to investigate the role of circEXOC6B during the progression of ovarian cancer. Materials and Methods: The dual-luciferase reporter system assay was used to determine the interaction between circEXOC6B, miR-421 and RUS1 in ovarian cancer, respectively. CCK8 and colony formatting were used to evaluate cell proliferation. Meanwhile, the expressions of RSU1, PINCH1 and ILK in SKOV3 cells were detected with Western blot. Results: Downregulation of circEXOC6B markedly promoted the proliferation and invasion in A2780 cells. In contrast, upregulation of circEXOC6B significantly inhibited the proliferation and invasion in SKOV3 cells. Moreover, overexpression of circEXOC6B obviously induced the apoptosis of SKOV3 cells. Furthermore, luciferase reporter assay identified that miR-421 was the potential miRNA binding of circEXOC6B, and RUS1 was the potential binding target of miR-421. Mechanism analysis indicated that upregulation of circEXOC6B increased the level of RUS1 by acting as a competitive “sponge” of miR-421. Conclusion: In this study, we found that circEXOC6B suppressed the growth of ovarian cancer cells through upregulating RSU1 partially via sponging miR-421. Therefore, circEXOC6B might be a potential target for the treatment of ovarian cancer.
FROM MARINE ORGANISMS AND PLANTS TO ANTICANCER AGENTS

All ABSTRACT Marine organisms are potential source of drug discovery. Life has originated from the ocean that cover over 70% of the surface of earth and contain highly ecological, chemical, and biological diversity ranging from microorganism to vertebrates. This diversity has been the source of unique chemical compounds, which hold tremendous pharmaceutical potential. Generally drugs are obtained from the various species of bacteria, virus, algae, sponges, fungi etc. Marine flora and fauna, like algae, bacteria, sponges, fungi, seaweeds, corals, diatoms, ascidian etc. are important resources from oceans, accounting for quite 90% of the entire oceanic biomass. They are taxonomically different with huge productive and are pharmacologically active novel chemical signatures and bid an incredible opportunity for discovery of latest anti-cancer molecules. Ocean contain more than 3,00,000 invertebrates and algal species and rich in flora and fauna. Marine pharmacognosy is not a new area, even the early civilization of Japan, China, Greece and India have explored marine life as source of drug. During the past 35-45 years, Numerous novel compounds are isolated from marine organisms having biological activities like anti-inflammatory, anticoagulant, antiviral, antibacterial, anticancer and cardiovascular compounds. The aim of this review is to stipulate the paths of marine natural products discovery and development, with a special specialise in the compounds that successfully reached the market and particularly watching the approaches tackled by the pharmaceutical and cosmetic companies that succeeded in marketing those products. In this review, we summarized the contributions of marine natural products to treat CANCER via modulation of cancer-related factors involving oxidative stress, inflammation, and cell survival.
Dynamic Annotating SRRs from Web Databases using Naïve Bayes

— Web Databases are progressively accessible through HTML source based search engines. The knowledge or data units that are excavated from databases are generally encoded dynamically for the purpose of human browsing. Data units that are dynamically encoded are essential for multiple applications like comparison shopping, web resource rating and for deep web collection. A web user whenever submits a query, he is returned with number of SRRs which are needed to be extracted and collected at one place under their respective semantic labels. In this paper, a survey is conducted on different previous efforts taken to extract the data from multiple SRRs and to annotate them. Also the proposed system enhanced with Naïve Bayes machine learning is discussed which allows to extract the data units from SRRs , assign semantic labels to the extracted data units and to accurately align the data under their respective semantic labels.
The CorA Mg 2 (cid:1) Transporter Does Not Transport Fe 2 (cid:1)

corA encodes the constitutively expressed primary Mg 2 (cid:1) uptake system of most eubacteria and many archaea. Recently, a mutation in corA was reported to make Salmonella enterica serovar Typhimurium markedly resistant to Fe 2 (cid:1) -mediated toxicity. Mechanistically, this was hypothesized to be from an ability of CorA to mediate the inﬂux of Fe 2 (cid:1) . Consequently, we directly examined Fe 2 (cid:1) transport and toxicity in wild-type versus corA cells. As determined by direct transport assay, CorA cannot transport Fe 2 (cid:1) and Fe 2 (cid:1) does not potently inhibit CorA transport of 63 Ni 2 (cid:1) . Mg 2 (cid:1) can, relatively weakly, inhibit Fe 2 (cid:1) uptake, but inhibition is not dependent on the presence of a functional corA allele. Although excess Fe 2 (cid:1) was slightly toxic to S . enterica serovar Typhimurium, we were unable to elicit a signiﬁcant differential sensitivity in a wild-type versus a corA strain. We conclude that CorA does not transport Fe 2 (cid:1) and that the relationship, if any, between iron toxicity and corA is indirect.
Collaborative Approach for Secure Packet Transfer in Wireless Sensor Networks

- Secure data transfer (SDT) in wireless networks is required with minimum overhead. The SDT was done historically through cryptography, authentication, and probability based approaches. Collaborative approach for trust-based packet transfer is new to the wireless sensor network research. In the proposed research, trust value of a node is continuously updated using Sporas formula and repeated trust calculations. The average of these two provides the trust value of a node. The suspicious node will be informed to the neighbor nodes. Further, the neighbor nodes calculate their own trust of a suspicious node using its trust value plus trust factor received from their neighbor. The cooperative and collaborative approaches eliminate the suspicious node from the path quickly and confidently. The results show that the new approach is better than simply using the cooperative way or collaborative approach using Sporas formula.
Line-Drawing Presentation Strategy with an Active-Wheel Mouse After-Recognition-Go Strategy vs. While-Perceiving-Go Strategy

—The objective of this study is to examine presentation strategies for line-drawing recognition by using a finger-tactile interface, i.e., an “ active-wheel mouse ,” which can present slippages to users via users’ fingertip skin. The interface embodies an active wheel being rotatable in any direction, with any speed and for any time-duration. Through the slippage stimuli, the interface can present stroke motions with any direction, velocity and length to users. In this paper, we proposed two kinds of presentation strategies, called an “ after-recognition-go strategy ” and a “ while-perceiving-go strategy ” for single-stroke line-drawings. The former strategy employs an open-loop control scheme with no-feedback, and the latter one does a closed-loop control scheme with online-feedback. Next, the perceptual performances were compared between the two strategies via a psychophysical experiment, in which single-stroke line-drawing consisting of up to three straight-line segments were recognized. In the experiment, the length, direction, and velocity were randomly chosen within 50 - 150 mm, 0 - 359 deg, and 12 - 50 mm/s, respectively. In order to examine performance, we introduced objective and subjective evaluation values. As for the objective evaluation variables, the mean and the variance were calculated for (root mean squared errors (RSMEs) of the motion-related variables such as lengths, angles, and mean-velocities and for RSMEs of the time-durations, while, as for the subjective evaluation variable, questionnaire survey was conducted. As a result of the experiment, in comparison with the while-perceiving-go strategy, the after-recognition-go strategy was recommended for further development of the finger-tactile interface, based on the significant reduction of time-duration and on no mental-fatigue reports in a questionnaire: in the case of for the after-recognition-go strategy, the means and the standard deviations of RSMEs were -19.3 ± 40.7 mm (for length), 5.0 ± 15.9 degree (for angle), and 9.2 ± 22.3 mm/s (for mean-velocity).
ANTIBACTERIAL ACTIVITY OF PSIDIUM GUAJAVA L. LEAVES EXTRACTS AGAINST SOME GRAM-POSITIVE AND GRAM-NEGATIVE BACTERIA

Antibacterial efficiency of Psidium guajava L. leaves extracts in different solvents (methanol, ethanol and aqueous) were studied against seven different bacterial strains, including four gram-positive ( Micrococcus luteus , Bacillus subtilis , Staphylococcus aureus and Streptococcus sp.) and three gram-negative bacterial strains ( Escherichia coli , Pseudomonas aeruginosa and Salmonella typhimurium ) using agar well diffusion assay (AWDA) method. In the present study, aqueous extract gave the highest yield percentage as compared to methanol as well as ethanol extracts. The patterns of inhibition varied with the solvent as well as the tested microorganisms. The results showed that M. luteus among the gram-positive and E. coli among the gram-negative were highly susceptible as compared to other tested organisms. The methanol extract of P. guajava was the most effective as the widest inhibitory zone was observed as compared to the ethanol and aqueous extracts. The minimum inhibitory concentrations (MIC) as well as the minimum bactericidal concentration (MBC) of the crude leaves extracts were determined for the various organisms which ranged between 12.5 to 100 mg/ml. The remarkable antibacterial activity of the leaves extracts against tested gram-positive and gram-negative bacteria suggests that the P. guajava plant leaves could be a possible source of novel broad spectrum drug for treating infectious diseases.
of Birmingham A qualitative study examining the illness narrative master plots of people with head and neck cancer

: Background: There is a need to understand the common plots (master plots) of illness narratives for people who are treated for cancer. Improved insight would enhance therapeutic relationships and help reduce stress for health care professionals (HCPs). Aim: Identify and reﬁne the most supported narrative master plots, which convey meaning for the tellers’ lived experience from diagnosis to a year post-treatment for a group of Head and Neck Cancer (H&NC) patients. Method: A purposive sample of individuals with H&NC using a single qualitative interview was undertaken. A narrative analysis was used. Results: Eighteen people (57.8 years, six female and 12 male) with H&NC participated. The average time since treatment began was 10 months. Five master plots were identiﬁed: (1) The responsive and reﬂective narrative, (2) The frail narrative, (3) The recovery narrative, (4) The survive or die narrative and (5) The personal project narrative. Discussion: The identiﬁcation of narrative master plots of people with H&NC enables HCPs to understand and prepare for the di ﬀ erent stories and reactions presented to them. This is important to prevent people’s reactions being labelled in restrictive ways. The implications of recognising the di ﬀ erent experiences are discussed further within the manuscript. Research is needed to build on these ﬁndings to promote better patient-centred care in practice.
ResponseProduction and Clonal Expansion in a Th1 g Induction in Postdifferentiation IFN-B k T Cell-Intrinsic Requirement for NF-Mark

NF- (cid:1) B/Rel transcription factors are linked to innate immune responses and APC activation. Whether and how the induction of NF- (cid:1) B signaling in normal CD4 (cid:3) T cells regulates effector function are not well-understood. The liberation of NF- (cid:1) B dimers from inhibitors of (cid:1) B (I (cid:1) Bs) constitutes a central checkpoint for physiologic regulation of most forms of NF- (cid:1) B. To investigate the role of NF- (cid:1) B induction in effector T cell responses, we targeted inhibition of the NF- (cid:1) B/Rel pathway speciﬁcally to T cells. The Th1 response in vivo is dramatically weakened when T cells defective in their NF- (cid:1) B induction (referred to as I (cid:1) B (cid:4) ( (cid:5) N) transgenic cells) are activated by a normal APC population. Analyses in vivo, and IL-12-supplemented T cell cultures in vitro, reveal that the mechanism underlying this T cell-intrinsic requirement for NF- (cid:1) B involves activation of the IFN- (cid:2) gene in addition to clonal expansion efﬁciency. The role of NF- (cid:1) B in IFN- (cid:2) gene expression includes a modest decrease in Stat4 activation, T box expressed in T cell levels, and differentiation efﬁciency along with a more prominent postdifferentiation step. Further, induced expression of Bcl-3, a trans -activating I (cid:1) B-like protein, is decreased in T cells as a consequence
IN TECHNOLOGY

-The under-utilization of the scarce spectrum triggered the need for opportunistic spectrum sharing among mobile radio users recently. Cognitive radio (CR) is considered as a promising candidate to be employed in such systems as they are aware of their operating environments and can be trained to dynamically and autonomously adjust its radio operating parameters accordingly. The capability of the cognitive radio to sense, learn, and adapt to the radio environment provides new opportunities for spectrum users. The objective of this study is to design and analyze a more reliable cognitive radio network that is able to establish a virtual wireless link before the actual communication starts. In spectrum detection schemes, the secondary user will be allocated a channel if and only if there is free accessible channel in the primary users’ band. In this paper we design a system model for the cognitive radio network and develop a virtual wireless link selection (VWLS) algorithm for cognitive radio networks. The VWLS algorithm is then analyzed and computer simulated to show the impact of the virtual link on the throughput of the network. By demonstrating the throughput improvement of the cognitive radio network (CRN) with the help of the newly developed algorithm, we can prove that the reliability can also be enhanced.
REDUCTION OF MICROFLORA AND FREQUENCY OF SPROUTING IN GAMMA IRRADIATED POTATOES

The potato ( Solanum tuberosum ) is an important food crop, grown largely as a carbohydrate staple and also for industrial purposes. Of the various physiological factors which affect potato storage, sprouting is the most obvious manifestation of deterioration. In the present study potatoes were irradiated at 0.05, 0.10, 0.15 kGy to inhibit sprouting and evaluate microflora. The experimental and control group of potatoes were analyzed for the microbial load and growth of sprouts. The remarkable reduction in bioburden was noted when potatoes were subjected to 0.15kGy irradiation. The irradiated potatoes showed less viable microbial count than the non-radiated ones even after three weeks of irradiation. This study indicated that higher irradiation levels proved to be most effective in retarding the sprouting of potatoes stored at ambient conditions and enhancing the shelf life up to 14 days.
A Genomic Screen for Yeast vma (Vacuolar Membrane ATPase) Mutants

V-ATPases acidify multiple organelles, and yeast mutants lacking V-ATPase activity exhibit a distinctive set of growth defects. To better understand the requirements for organelle acidification and the basis of these growth phenotypes, ~4700 yeast deletion mutants were screened for growth defects at pH 7.5 in 60 mM CaCl 2 . In addition to 13 of 16 mutants lacking known V-ATPase subunits or assembly factors, 50 additional mutants were identified. Sixteen of these also grew poorly in non-fermentable carbon sources, like the known V-ATPase mutants, and were analyzed further. The cwh36 ∆ mutant exhibited the strongest phenotype; this mutation proved to disrupt a previously uncharacterized V-ATPase subunit. A small subset of the mutations implicated in vacuolar protein sorting, vps34 ∆ , vps15 ∆ , vps45 ∆ , and vps16 ∆ , caused both Vma- growth phenotypes and lower V-ATPase activity in isolated vacuoles, as did the shp1 ∆ mutation, implicated in both protein sorting and regulation of the Glc7p protein phosphatase. These proteins may regulate V-ATPase targeting and/or activity. Eight mutants showed a Vma- growth phenotype but no apparent defect in vacuolar acidification. Like V-ATPase-deficient mutants, most of these mutants rely on calcineurin for growth, particularly at high pH. A requirement for constitutive calcineurin activation may be the predominant physiological basis of the Vma- growth phenotype.
Inhibition of H-ms Oncogene Transformation of NIH3T3 Cells by Protease Inhibitors1

The protease inhibitors antipain, leupeptin, Â«,-antitrvpsin,and . -ami-nocaproic acid were found to inhibit transformation of NIH3T3 cells after transfection with an activated H-nu oncogene. Inhibition of focus formation by protease inhibitors was concentration dependent and maximal at 50% of control values. Transfection of a gene for neomycin resistance was not affected by protease inhibitors. Antipain was inactive if present only during the first 2 days of the gene transfer protocol or only during the final 10 days of the experiment. However, the full effect was observed when antipain was added at the subculture step on day 3 and during the subsequent cell proliferation. If cells were not subcultured, the yield of the foci per Â«Â¿gofDNA was sharply reduced and addition of antipain did not further suppress the transformation rate. Subculture of NIH3T3 cells 3 days after transfection at lower cell densities resulted in higher transformation efficiency. The results suggest that transformation of NIH3T3 cells by a single mutated oncogene may involve multiple stages including cell proliferation and that part of this process is susceptible to inhibition by protease inhibitors.
fibre type, Zebrafish, Prdm1 Prdm1a and miR-499 act sequentially to restrict Sox6 activity to the fast-twitch muscle lineage

 RACE (Ambion) following the manufacturer’s protocol. Fragments of differing size were amplified by PCR from BAC DNA (BX537340.15) and cloned into a Gateway 5 (cid:2) entry vector p5E-MCS (Kwan et al., 2007). Reporter constructs were generated by site-specific recombination with pME-EGFP or pME-mCherry, p3E-sv40 and pDestTol2pA. The 3 kb sox6 3 (cid:2) UTR was identified by 3 (cid:2)  RACE, amplified from genomic DNA and cloned into the sox6:EGFP tol2 vector replacing SV40 10 August 2011 SUMMARY Sox6 has been proposed to play a conserved role in vertebrate skeletal muscle fibre type specification. In zebrafish, sox6 transcription is repressed in slow-twitch progenitors by the Prdm1a transcription factor. Here we identify sox6 cis-regulatory sequences that drive fast-twitch-specific expression in a Prdm1a-dependent manner. We show that sox6 transcription subsequently becomes derepressed in slow-twitch fibres, whereas Sox6 protein remains restricted to fast-twitch fibres. We find that translational repression of sox6 is mediated by miR-499, the slow-twitch-specific expression of which is in turn controlled by Prdm1a, forming a regulatory loop that initiates and maintains
A 4 GHz Single-to-Differential Cross-Coupled Variable-Gain Transimpedance Ampliﬁer for Optical Communication

: This letter presents an inductorless transimpedance ampliﬁer (TIA) for visible light communication, using the UMC 40 nm CMOS process. It consists of a single-to-differential input stage with a modiﬁed cross-coupled regulated cascode design, followed by a modiﬁed f T -doubler mid-stage with a combined active inductor and capacitive degeneration design for bandwidth-enhancement and differential output. The mid-stage also has an attached common-mode feedback (CMFB) circuit. Both the input and mid-stages have gain-varying and peaking-varying functions. It has a measured gain range of 37.5–58.7 dB Ω and 4.15 GHz bandwidth using a 0.5 pF capacitive load. The gain range results in an input dynamic range of 33.2 µ A–1.46 mA. Its input referred noise current is 10.7 pA/ √ Hz , core DC power consumption is 7.84 mW from a V DDTIA of 1.6 V and core area is 39 µ m × 26 µ m.
Analyzing Human Emotion From Facial Expression Based On Eigen Face Approach

: The technique of Facial recognition makes it easy to use a person’s facial images to validate him in a secure system such as passport verification, criminal identification and for other authentication purposes. First, in order to detect the expression of human face, it is required to detect and recognize facial details such as eye, nose, lips, mouth etc. movements using an adequate classifier for expression recognition. In this work subtle facial expression recognition that uses Eigen face approach and Euclidean distance classifier. The proposed method uses certain techniques in pre-processing the image such as image lighting compensation, cropping the skin block region, converting the RGB image to grey scale image, and other noise removal techniques. PCA has been used for reducing the high dimensionality of the Eigen space of the image and then by projecting the test image upon the Eigen space. Different expression such as joy, sorrow, anger, disgust, sad and indifference can be identified using the Eigen face method. The Euclidean distance is calculated between the test image and mean of the Eigen faces of the training dataset and then the expressions are classified. The analysis of the simulation indicates the importance of the proposed work.
Towards the Reproducibility of Using Dynamic Loop Scheduling Techniques in Scientiﬁc Applications

—Reproducibility of the execution of scientiﬁc appli- cations on parallel and distributed systems is a growing interest, underlying the trustworthiness of the experiments and the conclusions derived from experiments. Dynamic loop scheduling (DLS) techniques are an effective approach towards performance improvement of scientiﬁc applications via load balancing. These techniques address algorithmic and systemic sources of load imbalance by dynamically assigning tasks to processing elements. The DLS techniques have demonstrated their effectiveness when applied in real applications. Complementing native experiments, simulation is a powerful tool for studying the behavior of parallel and distributed applications. This work is a comprehensive reproducibility study of experiments using DLS techniques published in earlier literature to verify their implementations into SimGrid-MSG [1]. The reproducibility study is carried out by comparing the performance of the SimGrid-MSG-based experiments with those reported in [2]. In earlier work [3] it was shown that a very detailed degree of information regarding the experiments to be reproduced is essential for successful reproducibilty. This work concentrates on the reproducibility of experiments with variable application behaviour and high degree of parallelism . It is shown that reproducing measurements of applications with high variance is challenging, albeit feasible and useful. The success of the present reproducibility study denotes the fact that the implementation of the DLS techniques in SimGrid-MSG is veriﬁed for the considered applications and systems. Thus, it enables well-founded future research using the DLS techniques in simulation.