Miracle-dz/UniFAR-FTUs huggingface dataset:
Transketolase‐like protein 1 (TKTL1) is required for rapid cell growth and full viability of human tumor cells

Cancer cells display high rates of aerobic glycolysis, a phenomenon known as the Warburg effect. Lactate and pyruvate, the end products of glycolysis, are overproduced by cancer cells even in the presence of oxygen. The pentose phosphate pathway (PPP) allows glucose conversion to ribose for nucleic acid synthesis, glucose degradation to lactate, and regeneration of redox equivalents. The nonoxidative part of the PPP is controlled by transketolase (TKT) enzymes. One TKT isoform, the transketolase‐like protein 1 (TKTL1) is specifically upregulated in different human cancers and its overexpression predicts a poor patient's survival. This finding implicates that an increased TKTL1 expression may activate the PPP leading to enhanced cancer cell growth and survival. To analyze the functional role of TKTL1 in malignant progression, we inhibited TKTL1 by RNAi technologies in human HCT116 colon carcinoma cells. TKTL1 suppression resulted in a significantly slowed cell growth, glucose consumption and lactate production. In TKTL1 knockdown‐cells, the intracellular reactive oxygen species levels were not significantly increased, whereas the sensitivity towards oxidative stress‐induced apoptosis was clearly enhanced. These data provide new clues on the importance of TKTL1 dys‐regulation in tumor cells and indicate that TKTL1 overexpression may be considered not only as a new tumor marker but also as a good target for anticancer therapy. © 2008 Wiley‐Liss, Inc.
Synthesis of off-line robust MPC based on polyhedral invariant set

The online computation efficiency is always an important issue of the robust model predictive control (RMPC), especially for fast systems. For uncertain systems with polytopic description, two synthesis approaches of off-line RMPC are presented. By offline designing several polyhedral invariant sets properly, the online computation of RMPC is only simple algebra calculation, which reduces the online computational burden greatly. Polyhedral invariant set enlarges the feasible region of RMPC compared with the previous designs based on ellipsoidal invariant set. The closed-loop stability and recursive feasibility can be guaranteed.
DC Characteristics of InAlAs/InGaAsSb/InGaAs Double Heterojunction Bipolar Transistors

DC electrical characteristics of a series of InAlAs/InGaAsSb/InGaAs double heterojunction bipolar transistors (DHBTs) that are grown on InP by molecular beam epitaxy are reported and analyzed. The InGaAsSb base of the transistors leads to a type-I base-emitter junction and a type-II base-collector junction, resulting in unique device characteristics, such as low turn-on voltage, low crossover current, and constant current gain over a wide current range. In addition, the DHBTs exhibit rather high current gains despite the use of a heavily doped thick InGaAsSb base layer. This indicates the long minority carrier lifetime of the InGaAsSb material. A high current gain over base sheet resistance ratio is, thus, realized with these novel DHBTs.
Surrogate Biomarkers of HPV Infection in Cervical Neoplasia Screening and Diagnosis

The current prevention of cervical cancer and elimination of its precursors is predicated on the identification of cervical cytologic abnormalities and their histologic confirmation. This strategy, although effective, depends on both sensitivity and specificity of cytology and precise histologic distinction between precursor lesions and their mimics during biopsy interpretation. The effective application of diagnostic criteria is operator dependent and varies as a function of experience and training. However, because human papilloma viruses (HPV) are causative agents and alter the cell cycle in cervical neoplasms, host genes interacting directly or indirectly with HPV oncoproteins have been identified in vitro. Recent research has centered on identifying the host genes upregulated in association with HPV infection, determining their suitability as “surrogate markers” for HPV infection, and using these markers to identify HPV-associated epithelial lesions in tissue or cytologic specimens. This review surveys recent advances in this field, summarizing the advantages and limitations of several candidate biomarkers, including PCNA, Ki-67, cyclin E, p16ink4, MN antigen, carcinoembryonic antigen (CEA), and telomerase in the recognition of preinvasive cervical neoplasia, and discusses their future potential in cervical cancer screening. Based on current studies, the strongest candidates for diagnosis and screening are p16 and cyclin E (squamous) and MN (glandular) biomarkers. As new genes are identified and tested, the concept of biomarkers as tools in primary screening and lesion recognition will continue to mature.
Angiostrongylus vasorum from South America and Europe represent distinct lineages

SUMMARY Angiostrongylus vasorum is a nematode parasite of sylvan and domestic species of the family Canidae. It has a broad but patchy distribution worldwide, and there is evidence for geographical spread and increasing incidence of infection in recent years. While historically Angiostrongylus-like nematodes identified in dogs and foxes have been described as A. vasorum in Europe and Angiocaulus raillieti in South America, more recent taxonomic revision has amalgamated these into a single species, A. vasorum. Here we report, for the first time, the molecular characterization of isolates of A. vasorum from Germany, Portugal, Denmark and the United Kingdom on the basis of the mitochondrial COI gene and the second ribosomal internal transcribed spacer. When compared with isolates from Brazil, sequence analysis revealed 2 distinct genotypes. Estimated rates of evolution based on COI sequences for both nematode and host are consistent with the hypothesis that the presence of A. vasorum in South America is a result of an ancient evolutionary event. Angiostrongylus vasorum in South America potentially represents a separate species to that observed in Europe.
Comparative expression analysis of Septin 14 in testes of infertile men with normal spermatogenesis and spermatogenic failure

Background: Septins are an evolutionary conserved group of GTP-binding and filament-forming proteins that have diverse cellular roles. An increasing body of data implicates the septin family in the pathogenesis of diverse states including cancers, neurodegeneration, and male infertility. Objective: The objective of the study was to evaluate the expression pattern of Septin14 in testis tissue of men with and without spermatogenic failure. Materials and Methods: The samples retrieved accessible random between infertile men who underwent diagnostic testicular biopsy in Royan institute. 10 infertile men with obstructive azoospermia and normal spermatogenesis and 20 infertile men with non-obstructive azoospermia were recruited for real-time reverse transcription (RT)-PCR analysis of the testicular tissue. Total RNA was extracted with trizol reagent. Results: Comparison of the mRNA level of septin14 revealed that in tissues with partial (n=10) or complete spermatogenesis (n=10), the expression of septin 14 was significantly higher than sertoli cell only tissues. Conclusion: The testicular tissues of men with hypospermatogenesis, maturation arrest and sertoli cell only had lower levels of septin 14 transcripts than normal men. These data indicates that Septin 14 expression level is critical for human spermatogenesis.
Human enhancer of filamentation 1, a novel p130cas-like docking protein, associates with focal adhesion kinase and induces pseudohyphal growth in Saccharomyces cerevisiae

Budding in Saccharomyces cerevisiae follows a genetically programmed pattern of cell division which can be regulated by external signals. On the basis of the known functional conservation between a number of mammalian oncogenes and antioncogenes with genes in the yeast budding pathway, we used enhancement of pseudohyphal budding in S. cerevisiae by human proteins expressed from a HeLa cDNA library as a morphological screen to identify candidate genes that coordinate cellular signaling and morphology. In this report, we describe the isolation and characterization of human enhancer of filamentation 1 (HEF1), an SH3-domain-containing protein that is similar in structure to pl30cas, a recently identified docking protein that is a substrate for phosphorylation by a number of oncogenic tyrosine kinases. In contrast to p130cas, the expression of HEF1 appears to be tissue specific. Further, whereas p130cas is localized predominantly at focal adhesions, immunofluorescence indicates that HEF1 localizes to both the cell periphery and the cell nucleus and is differently localized in fibroblasts and epithelial cells, suggesting a more complex role in cell signalling. Through immunoprecipitation and two-hybrid analysis, we demonstrate a direct physical interaction between HEF1 and p130cas, as well as an interaction of the SH3 domain of HEF1 with two discrete proline-rich regions of focal adhesion kinase. Finally, we demonstrate that as with p130cas, transformation with the oncogene v-abl results in an increase in tyrosine phosphorylation on HEF1, mediated by a direct association between HEF1 and v-Abl. We anticipate that HEF1 may prove to be an important linking element between extracellular signalling and regulation of the cytoskeleton.
A One-Way Packet Duplication Metric

When a packet is sent from one host to the other, one normally expects that exactly one copy of the packet that was sent arrives at the destination. It is, however, possible that a packet is either lost or that multiple copies arrive. In earlier work a metric for packet loss has been defined. This metric quantifies the case where a packet that is sent, does not arrive at its destination within a reasonable time. In this memo, a metric for another case is defined: a packet is sent, but multiple copies arrive. The document also discusses streams and methods to summarize the results of streams.
Texture Content-Based Image Retrieval for Necktie Pattern

By analyzing the character of necktie pattern and integrating image retrieval technology, a new approach to texture content-based image retrieval for necktie pattern is proposed in this paper. On the base of pattern extraction by color separation, Gabor wavelet transformation is used to extract pattern's eigenvector, an improved multiple-angle rotate-invariant similarity definition is presented. The experiment results are satisfying.
Echo Planar Diffusion-Weighted Imaging: Possibilities and Considerations with 12- and 32-Channel Head Coils

Interest in clinical brain magnetic resonance imaging using 32-channel head coils for signal reception continues to increase. The present investigation assesses possibilities for improving diffusion-weighted image quality using a 32-channel in comparison to a conventional 12-channel coil. The utility of single-shot (ss) and an approach to readout-segmented (rs) echo planar imaging (EPI) are examined using both head coils. Substantial image quality improvements are found with rs-EPI. Imaging with a 32-channel head coil allows for implementation of greater parallel imaging acceleration factors or acquisition of scans at a higher resolution. Specifically, higher resolution imaging with rs-EPI can be achieved by increasing the number of readout segments without increasing echo-spacing or echo time to the degree necessary with ss-EPI — a factor resulting in increased susceptibility artifact and reduced signal-to-noise with the latter.
Mesh Based Clustering without Stopping Criterion

Clustering in data mining is a discovery process that groups a set of data such that the intra-cluster similarity is maximized and the inter-cluster similarity is minimized. Existing clustering algorithms, such as K-means, are designed to find clusters but these algorithms can break down if the choice of parameters in the static model is incorrect with respect to the data set being clustered, or if the model is not adequate to capture the characteristics of clusters. Furthermore, most of these algorithms break down when the data consists of clusters that are of diverse shapes, densities and sizes. In this paper, a novel clustering algorithm has been presented that clusters the data set in O(n) time taking O(n) space and that too without specifying the stopping criteria with respect to data set to be clustered (unlike done in k-means to explicitly specify the value of k). The algorithm first normalizes the data set, and then a proper mesh has to be designed to include the whole data set. Then all the points in a data set are assigned different box numbers and then these boxes are clustered instead of the real points. The algorithm doesn't use any distance measure to cluster points like Euclidean distance. Apart from independent clustering algorithm, it can be used for the upper bound of the "to be clusters" in other algorithms like k-means, isodata etc.
Assessment of Appearance Match by Visual Observation and Clinical Colorimetry

Judgments of appearance matching by means of the visual criteria established by the United States Public Health Service (USPHS) and by means of an extended visual rating scale were determined for composite resin veneer restorations and their comparison teeth. Using a colorimeter of 45°/0° geometry and the CIELAB color order system, we used the color of the restorations and comparison teeth to calculate a color difference for every visual rating. Statistically significant relationships were found between each of the two visual rating systems and the color differences. The average CIELAB color difference of those ratings judged a match by the USPHS criteria was found to be 3. 7. However, the overlap in ranges of the color differences for those comparisons rated matches and mismatches indicates the importance of other factors in appearance matching, such as translucency and the effects of other surrounding visual stimuli. The extended visual rating scale offers no advantages to the more broadly defined criteria established by the USPHS.
Fully content-based movie recommender system with feature extraction using neural network

In recent years, movie industry is getting more and more prosperous. There are hundreds of movies released every year. However, it is difficult to notice the releasing of every movie, not to mention actually seeing it. Therefore, movie recommender system has become more and more popular as a research topic. Among a variety of movie recommender systems, content-based methods always ring a bell when it comes to recommending new movies. Content-based method uses the content of the movie as input so that it does not suffer from the “cold-start” problem. In this paper, we propose the Fully Content-based Movie Recommender System (FCMR) to recommend movies to users. The proposed method trains a neural network model, Word2Vec CBOW, with content information (e.g., cast, crew, etc.) as the training data to obtain vector form features of each element, and then take advantage of the linear relationship of learned feature to calculate the similarity between each movie. In the end, the proposed FCMR recommends movies based on the similarity. The experiments are conducted on a massive real world dataset, and the intuition behind our proposed method has been proven by the experiment results.
Metastasis from pancreatic cancer located at the incision line of a mastectomy: a case report and review of literature.

P ancreatic cancer, a highly malignant tumor with a poor progno-sis, frequently metastasizes to regional lymph nodes and liver. Skin involvement is a rare phenomenon that usually involves the umbilical region. Here we present a case of a 65-year-old woman who developed cutaneous metastases from a pancreatic adenocarcinoma at the incision line of a 1-year-old mastectomy. Our report is accompanied by a comprehensive review of the English literature of all cases of nonumbilical cutaneous metastases from pancreatic cancer. status metastases in of lymph radiotherapy multiple Biopsy metastases adenocarcinoma with a morphol-ogy characteristic of pancreatic Immunohistochemical
An update on the pharmacotherapy of neovascular age-related macular degeneration

Introduction: Neovascular age-related macular degeneration (AMD) is currently the most common cause of legal blindness in industrialized countries. The advent of pharmacotherapy with intravitreal VEGF inhibitors has greatly improved outcomes for the treatment of this disease. Areas covered: The present review is divided into two major sections: the period prior to the use of anti-VEGF agents (triamcinolone acetonide, verteporfin photodynamic therapy) and the period following their introduction (pegaptanib sodium, bevacizumab, ranibizumab, aflibercept). The main pharmacological and clinical characteristics of each therapy are summarized. Expert opinion: Monotherapy with anti-VEGF agents is currently the ‘gold standard' for treating neovascular AMD, but, with several drug choices and various different dosing regimens available, there is still wide variability in how individual clinicians manage their patients. Despite improved visual outcomes, there remains a significant unmet need for better treatments as the frequent office visits and injections associated with anti-VEGF therapy are costly and place a significant burden on patients, their family members and physicians.
Theoretical Comparison of a Dual Energy System and Photon Counting Silicon Detector Used for Material Quantification in Spectral CT

Any method using dual energy computed tomography (CT) has to make prior assumptions in order to quantify k-edge contrast agents. This work estimates the mean square error (MSE) in contrast agent quantification employing a method based on assigning each reconstructed voxel a ratio of soft tissue and fat using dual energy CT. The results are compared to the MSE using a photon counting silicon detector with multiple bins. The square root of the MSEs of the quantifications of iodine and gadolinium for an object consisting of soft tissue and fat using the silicon detector and dual energy CT range from below 2% and 1% of the contrast agent content for 100 mg/cm3 of iodine and gadolinium, up to approximately 10% and 13%, and 6% and 4%, for 5 mg/cm3 of iodine and gadolinium, respectively. When adding bone with a voxel volume fraction of 2.2%, the square root of the MSEs of the quantifications of iodine and gadolinium using dual energy CT increases to 25% and 6%, respectively, for 5 mg/cm3 of contrast agent. In conclusion, results indicate that the noise levels of the material quantification using the silicon detector are higher than the noise levels using a dual energy CT when the composition of the object is known. However, using a dual energy CT increases the risk of model specification error and subsequently a large bias in contrast agent quantification, a problem which does not exist when using a multi-bin CT where the number of energy bins is larger than two.
Preliminary evaluation of a highly automated instrument for the selection of CD34+ cells from mobilized peripheral blood stem cell concentrates

Cell selection is an important part of manufacturing cellular therapies. A new highly automated instrument, the CliniMACS Prodigy (Miltenyi Biotec), was evaluated for the selection of CD34+ cells from mobilized peripheral blood stem cell (PBSC) concentrates using monoclonal antibodies conjugated to paramagnetic particles.
Secure Encrypted Relational Data with using K-Nn Classification Bhaskar

With the recent quality of cloud computing, users currently have the chance to source their information, in encrypted kind, still because the data processing tasks to the cloud. Since the info on the cloud is in encrypted kind, existing privacy-preserving classification techniques aren't applicable. During this paper, we tend to target resolution the classification drawback over encrypted information. Above all, we tend to propose a secure k-NN classifier over encrypted information within the cloud. The projected protocol protects the confidentiality of knowledge, privacy of user’s input question and hides the info access patterns. The k-Nearest Neighbors formula could be a non-parametric methodology used for classification and regression. In each cases, the input consists of the k nearest coaching examples within the feature area. The output depends on whether or not k-NN is employed for classification or regression in k-NN classification, the output could be a category membership. Associate in nursing object is assessed by a majority vote of its neighbors. To the simplest of our information, our work is that the initial to develop a secure k-NN classifier over encrypted information beneath the semi-honest model. Also, we tend to through empirical observation analyze the potency of our projected protocol employing a real-world dataset beneath totally different parameter settings.
Adaptive multistage detection for DS-CDMA systems in multipath fading channels

We propose an adaptive multistage detection scheme with low complexity for direct-sequence code-division multiple-access (DS-CDMA) systems in the presence of flat and frequency-selective fading. The first stage consists of a blind adaptive multiuser detector based on the linear constrained minimum variance (LCMV) criterion. The interference cancellation (IC) occurs in the second stage. The performance of the proposed iterative detector over both flat and frequency-selective fading channels is investigated and compared to the single-user bound. In all cases, the proposed iterative receiver is shown to offer a substantial performance improvement and a large gain in user capacity relative to the standard LCMV. In flat fading channels, our results show that the performance of the proposed detector is very close to the single-user bound. On the other hand, the performance of the iterative receiver over frequency-selective channels is noted to be in the order of 1 dB far from the single-user bound.
Characteristics of EYFP-actin and visualization of actin dynamics during ATP depletion and repletion.

Disruption of the actin cytoskeleton in proximal tubule cells is a key pathophysiological factor in acute renal failure. To investigate dynamic alterations of the actin cytoskeleton in live proximal tubule cells, LLC-PK(10) cells were transfected with an enhanced yellow fluorescence protein (EYFP)-actin construct, and a clone with stable EYFP-actin expression was established. Confluent live cells were studied by confocal microscopy under physiological conditions or during ATP depletion of up to 60 min. Immunoblots of stable transfected LLC-PK(10) cells confirmed the presence of EYFP-actin, accounting for 5% of total actin. EYFP-actin predominantly incorporated in stress fibers, i.e., cortical and microvillar actin as shown by excellent colocalization with Texas red phalloidin. Homogeneous cytosolic distribution of EYFP-actin indicated colocalization with G-actin as well. Beyond previous findings, we observed differential subcellular disassembly of F-actin structures: stress fibers tagged with EYFP-actin underwent rapid and complete disruption, whereas cortical and microvillar actin disassembled at slower rates. In parallel, ATP depletion induced the formation of perinuclear EYFP-actin aggregates that colocalized with F-actin. During ATP depletion the G-actin fraction of EYFP-actin substantially decreased while endogenous and EYFP-F-actin increased. During intracellular ATP repletion, after 30 min of ATP depletion, there was a high degree of agreement between F-actin formation from EYFP-actin and endogenous actin. Our data indicate that EYFP-actin did not alter the characteristics of the endogenous actin cytoskeleton or the morphology of LLC-PK(10) cells. Furthermore, EYFP-actin is a suitable probe to study the spatial and temporal dynamics of actin cytoskeleton alterations in live proximal tubule cells during ATP depletion and ATP repletion.