Miracle-dz/UniFAR-FTUs huggingface dataset:
Comprehensive investigation of alternative splicing and development of a prognostic risk score for prostate cancer based on six-gene signatures

Purpose: To systematically document alternative splicing profiles of prostate cancer in relatively large populations in order to construct a prognostic predictors model for prostate cancer. Methods: Splicing data and clinical information of 495 prostate cancer patients were obtained from The Cancer Genome Atlas (TCGA). The SpliceSeq database was used to extract information regarding splicing events. Multiple bioinformatic tools were used for functional and pathway enrichment analysis as well as for construction of gene interaction networks. Candidate gene expression profiles were verified with clinical samples using QRT-PCR. Results: We detected a total of 44070 alternative splicing events of 10381 genes in prostate cancer. 7 and 14 KEGG pathways were enriched and were associated with overall and recurrence-free survival, respectively. The expression of 396 genes among the 1526 overall survival genes associated alternative splicing events were associated with overall survival. The expression of 483 genes among the 1916 recurrence-free survival genes associated alternative splicing events were associated with recurrence-free survival. Lastly, we constructed the prognosis risk score system based on the expression profiles of six-gene signatures which in combination had an AUC of 0.941 for overall survival associated alternative splicing events, followed by overall survival associated gene expressions with an AUC of 0.794, a recurrence-free survival associated gene expression with an AUC of 0.752 and recurrence-free survival associated alternative splicing events with an AUC of 0.735, indicating its strong ability to predict patient outcome. The expression profile of the six genes was also confirmed in different prostate cell lines and clinic samples. Conclusion: Our comprehensive investigation of alternative splicing not only provided insight into the biological pathways of alternative splicing involved in the development of prostate cancer but also revealed new potential biomarkers for prognosticating as well as novel therapeutic targets for development of prostate cancer treatment.
Removal of copper ions from wastewater by adsorption onto a green adsorbent from winemaking wastes

Copper ion adsorption was studied using an activated carbon from winemaking wastes. The pH, temperature, activated carbon amount, and initial copper concentration were varied based on a full factorial 2k experimental design. Kinetic and thermodynamic studies were also performed. The adsorption kinetics followed a pseudo-second-order model. The adsorption data fit best to the Langmuir isotherm, compared with the Freundlich and Temkin models. The analysis of variance demonstrated that the pH and the activated carbon dosage had the greatest influences on the copper adsorption. The obtained activation energy suggested that the copper adsorption was physisorption. The best fit to a linear correlation was the moving boundary equation, which controls the kinetics of the adsorption of copper ions onto the activated carbon. X-ray photoelectron spectroscopy revealed the existence of different copper species (Cu2+, and Cu+ and/or Cu0) on the surface of the carbonaceous adsorbent after the adsorption, which could suggest a simultaneous reduction process.
1 The relationship between S . aureus and branched-2 chain amino acids content in composite cow milk 3

The early diagnosis of mastitis represents an essential factor for a prompt detection of the animal for further actions. In fact, if not culled, infected cows must be segregated from the milking herd and milked last, or milked with separate milking units. Besides microbiological analysis, the somatic cell count (SCC) commonly used as predictor of intramammary infection, frequently lead to a misclassification of milk samples. To overcome these limitations, more specific biomarkers are continuously evaluated. Total amino acid content increases significantly in mastitic milk compared to normal one. Bovine mastitis can arise as a result of infection of the mammary gland by Staphylococcus aureus. Multiplication of this bacterium within the mammary gland is required for infection to persist. S. aureus requires branched-chain amino acids (BCAAs: isoleucine, leucine, valine) for protein synthesis, branched-chain fatty acids synthesis and environmental adaptation by responding to their availability via transcriptional regulators. The importance of BCAAs for S. aureus physiology necessitates that it either synthesize them or scavenge them from the environment. Increase of BCAAs in composite milk has been postulated to be linked to mammary infection by S. aureus. In the present work, we demonstrated, by a direct ion-pairing reversed-phase method based on the use of the evaporative light-scattering detector (IP-RP-HPLC-ELSD), applied to 65 composite cow milk samples, a correlation between the concentration of isoleucine and leucine and S. aureus load.
OVERVIEW OF THE GEOMETRICAL NON-LINEAR EFFECTS OF BUTTON BPMS AND METHODOLOGY FOR THEIR EFFICIENT SUPPRESSION

This paper describes an overview of the geometric nonlinear effects common to beam position monitors (BPMs) installed in the accelerators and a methodology to correct for these effects. A typical characteristic curve of a pick-up is linear within a limited range from the BPM origin. At larger offsets the non-linearity of the curve is more pronounced and gets worse if the button diameter is small with respect to the beam pipe diameter. The general real-time linearization methods usually utilize linear correction combined with a simplistic polynomial, which may lead to inaccuracies in their limited application. We have developed amore rigorous methodology to suppress the non-linear effects of the BPMs through electromagnetic (EM) simulations and 2D fitting approximations. The focus is mainly on standard button pickups for the electron (ALBA) and proton machines (LHC).
X 3-Miner : mining patterns from an XML database

An XML enabled framework for the representation of association rules in databases was first presented in [4]. In Frequent Structure Mining (FSM), one of the popular approaches is to use graph matching that use data structures such as the adjacency matrix [7] or adjacency list [8]. Another approach represents semistructured tree-like structures using a string representation, which is more space efficient and relatively easy for manipulation [10]. However, with XML, mining association rules are faced with more challenges due to the inherent flexibilities in both structure and semantics, such as: 1) more complicated hierarchical data structure; 2) ordered data context; and 3) much bigger data size. To tackle these challenges, we propose an approach, X3-Miner, that efficiently extracts patterns from a large XML data set, and overcomes the challenges by: (1) exploring the use of a model validating approach in deducing the number of candidates generated by taking into account the semantics embedded in the tree-like structure in an XML database and obtain only valid candidates out of the XML database; (2) minimising I/O overhead by intersecting XML database with the frequent 1-itemset. This results in a frequent 1-itemset XML tree. The algorithm also progressively trims infrequent k-itemsets that contain infrequent (k-1)-itemsets; (3) extending the notion of string representation of a tree structure proposed in [10] to xstring for describing an XML document without loss of both structure and semantics. Such an extension enables an easier traversal of the tree-structured XML data during our model-validating candidate generation. Our experiments with both synthetic and real-life data sets demonstrate the effectiveness of the proposed model-validating approach in mining XML data.
ICT Development of Community in Rural Areas

Information Communication Technology (ICT) is no longer limited to urban population, but it has become increasingly relevant to the rural population. The use of ICT is evident through availability of ICT services for all in Malaysia’s rural areas. The internet in particular is gaining influences in the lives of rural communities in many aspects such as socially, educationally or economically is moving towards digitization. The establishment of ICT centers in rural areas has accelerated the adaptation of ICT in rural areas. Therefore, in general, this article will discuss the importance of ICT usage for rural community, and the government initiatives toward enhancing the ICT usage especially in the telecentre. The significance of having telecentres function as the centre for ICT excellence in rural areas. The telecentre provides ICT facilities such as internet and computer training room for use by rural community. Moreover, the establishment of telecentre is aiming for ICT awareness among the rural; one of the government initiatives.
Summarizing Spontaneous Speech Using General Text Properties

In this paper we describe and analyze the performance of a speech summarization prototype based in classical text summarization techniques, mainly lexical chains. We show that shallow text-oriented techniques are robust enough to identify relevant information and basic units of content in spontaneous speech. Moreover, the performance recovering the most relevant segments does not drop when the input is highly noisy, as in automatic tran-
Efficient Retinal Image Compression Based on Modified Huffman Algorithm

Medical image diagnosis acts an important role recently to protect the life and cure illnesses and therefore practice of medical images is radically improved. Developing technological developments to meet up the memory needs of everyday life looks not to satisfy the necessity of storage as data storage is proportionally improving. Image compression is the crucial solution to satisfy the storage necessities. The prior work presented a numerous compression methods dependent upon Region of Interest (ROI). In this work, an efficient retinal image compression method based on modified Huffman method is presented. The proposed method is designed for improving the storage efficiency and high security. First, the Pre-processing is performed by using Adaptive median filter. To separate out ROI from the preprocessed image, segmentation is performed using Improved Adaptive Fuzzy C-means Clustering. The separated ROI/non-ROI regions are compressed by using Integer Multi Wavelet Transform and Set Partitioning in Hierarchical Trees algorithms respectively. Further, threshold improved zero tree wavelet algorithm is applied on the whole image, and then modified Huffman encoding is performed to obtain compressed image for transmission. The proposed method is tested using a Local database which is collected from local hospitals. The proposed method is a suitable medical image compression with the expected image quality based on the experiments. It’s found that the proposed method yields slightly better CR, PSNR and MSE values compared to existing methods.
Vitexin induces G 2 / M ‐ phase arrest and apoptosis via Akt / mTOR signaling pathway in human glioblastoma cells

Glioblastoma is a common primary brain tumor with aggressive malignancy, which results in poor outcomes, short survival time and high mortality. Vitexin, an active ingredient from natural products, has been reported to inhibit cell growth and induce cell apoptosis in various cancer cell lines including hepatocellular carcinoma, oral and esophageal cancer. To the best of the authors knowledge, the present study was the first to investigate anticancer effects of vitexin on human glioblastoma cells and potential underlying mechanisms. The present study demonstrated that vitexin inhibited cell viability in a doseand time-dependent manner. In the present study, vitexin induced G2/M cell cycle arrest, as demonstrated by flow cytometry. Induction of cell apoptosis following vitexin treatment, was further indicated by observation of morphological alterations, flow cytometry analysis and detection of cleaved‐poly (ADP-ribose) polymerase. The present study also demonstrated that vitexin inhibited RAC-alpha serine/threonine-protein kinase (Akt)/mechanistic target of rapamycin kinase (mTOR) signaling in human glioblastoma cells. Collectively, the results of the present study demonstrated that vitexin induced G2/M cell cycle arrest and apoptosis by inhibiting Akt/mTOR signaling in human glioblastoma cells. Vitexin may in the future be used as a therapeutic agent for treatment of malignant glioblastoma.
Optimal pension funding for sophisticated managers

We consider the optimal management of a deﬁned beneﬁt stochastic pension plan where the participants have diﬀerent rates of time preference. The fund manager invests in a portfolio with risky assets and one riskless asset. Its main objective is to select the amortization rate and the investment strategy minimizing both the contribution rate risk and the solvency risk. The problem is formulated as an optimal control problem with non-constant rate of discount and is solved analytically by means of the dynamic programming approach and the technical interest rate is selected in order to keep stable the fund evolution within prescribed targets. A numerical illustration shows a comparative of the stability of the fund assets and the rate of contribution for a convex combination of exponential functions as discount function and for the constant discount case.
Chaos , Solitons & Fractals Nonlinear Science , and Nonequilibrium and Complex Phenomena

Cooperation has been studied in the context of game evolutionary theory by assuming that individuals play always the same game. Here we consider a mixture of two games G1 and G2. In each interaction of two individuals, they can play the games G1 or G2 with probabilities w and 1 w, respectively. We define the evolutionary model and study the cooperation evolution in a well-mixed population and in a cycle. We show that in the well-mixed population the evolution is equivalent to the evolution given by the average game. In a cycle, we show that the intensity of selection plays an important role in the promotion or inhibition of cooperation, depending on the games that are mixed. 2013 Elsevier Ltd. All rights reserved.
Model of network video retrieval of dynamic Bayesian network optimization for the mobile terminal

ABSTRACT Key-frame extraction is a key technique of video retrieval. In view of the low accuracy of currently traditional key-frame extraction algorithm, and low recall level and accuracy of video retrieval, a kind of model of network video retrieval of dynamic Bayesian network optimization for the mobile terminal was put forward. First of all, the study of dynamic Bayesian network optimization algorithm was conducted, and by using a Bayesian algorithm, the real data were used as the characteristic of the center of clustering, then the condensed coarsening and the condensed refining that are two important processes for network video retrieval model algorithm were improved, used to replace the top core set obtained in the original coarsening process, thereby designing a kind of new dynamic Bayesian network optimization algorithm, so as to realize the rapid and accurate positioning of the top core set, which can decrease the number of condensed layer and simplify the computational complexity of the algorithm. Then, the improved network video retrieval model algorithm was applied to the key-frame extraction of the video. The experimental results show that the proposed algorithm can more effectively extract key frames of video compared with the original algorithm.
y URINARY TRACT INFECTION IN PREGNANT WOMEN ATTENDING ANTENATAL CLINIC OF TIKUR ANBESSA SPECIALIZED HOSPITAL

Urinary tract infection (UTI) is a common complication of pregnancy. In the majority of the patients, infection appears to be confined to thc lower urinary tract. It may be asymptomatic (asymptomatic bacteriuria), or symptomatic (acute cystitis). All pregnant women, therefore, should have their urine cultured at t heir first visit tot he clinic. T he aim 0 f this study w as to detelmine the prevalence of UTI in pregnant women attending antenatal clinic of T ASH, Addis Ababa, Ethiopia, and to analyze the antimicrobial susceptibility pattern of bacterial uropathogens. A cross-sectional study was conducted on urine specimens collccted from pregnant women attending antenatal clinic of T ASH. Four hundred fourteen pregnant women comprising asymptomatic pregnant women (n=369) and symptomatic prcgnant women (n=4S) were investigated for urinary tract infection from January to March 200S. The age ranges of both groups were 18-44 years, with mean age of 27.1 and 2S.1 years in asymptomatic group and in symptomatic group respectively. Bacteriological screening of mid-stream urine specimen revealed that 3 91}69 (10.6%) and 9/45 (20%) had significant bacteriuria in asymptomatic and symptomatic group, respectively. Thc difference was not statistically significant (p>0.05). The overall prevalence 0 furinary tract infection was 4 8/414 (11.6%). Symptoms did not associate with the prevalence of symptomatic urinary tract infection. Prevalence of urinary tract infection was significantly associated with past history of urinary tract and maternal educational level (p <0.05). Maternal age, marital status, family monthly income, parity, duration of pregnancy, gestational diabetes mellitus and urologic disease or structural 1 functional abnollllalities of urinary tract had no significant association with the prevalence of urinary tract infection during pregnancy. Using urinc culture as gold standard, the sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) of pyuria in detecting urinary tract infection were 70.8%, 87.2%, 42%, and 9S.6% in overall subjects. The bacterial pathogens isolated were predominantly E. coli 22 (44%), followed by S. aurells 10 (20%), coagulase-negative staphylococci 8 (16%), and K. plleulJlolliae 4 (8%). Others found in small numbers included Envil1ia spp. , P. lJIirabilis, P. aemgillosa, A. baulJlallllllii, Ellterococcus spp. , and non-Group A B-hemolytic streptococcus accounting for (2%), each. T he l' ates 0 f susceptibility 0 ft he G ramnegatives to antibacterial agents tested ranged from 30-93.3%. Among the Gram-negative more than 65% of the isolates were sensitive to amoxicillin + clavulanic acid (70%), trimethoprim + sulphamethoxazole (73.3%), chloramphenicol (83.3%), nitrofurantoin (87.7%), gentamicin
Iterative Energy Shaping of a Ball – Dribbling Robot

This paper deals with the problem of controlling a ball–dribbling robotic system. In particular, a novel hybrid controller which combines elements of passivity and iterative learning control theories has been developed. Numerical simulations have been performed to prove the validity of the proposed solution. Results confirmed the effectiveness of the developed methodology.
DELAY OF RETURN OF PASSAGE OF GAS AS INDICATOR OF DURATION OF POSTOPERATIVE ILEUS

1. Taylor CED, Rosenthal RO, Taylor-Robinson D. Serological response of patients with non-gonococcal urethritis to causative organism of contagious equine metritis 1977. Lancet 1979; i: 700-01. occurred, and in several cases both modes of infection may have been operating simultaneously. We also noted mild and asymptomatic infections with persistent excretion of hxmophili in the genital discharges or urine. Mixed infections with other STD agents (especially Trichomonas vaginalis) are not rare and some strains were isolated from post-gonorrhaeal urethritis.
The Mixed Forms – A Generalization and Comparative Case Study on the ETRE Systems of China and the EU Kristianstad

There is a lack of applicable model for understanding stability affected by combination of incentive and direct control for an economic regulation within mixed-forms. The research on stability of an economic regulation has mostly been focused on incentive or direct control in a U-form or M-form dominated organization. Therefore, the purpose of this study has been to discover a universal model for explaining stability affected by combination theory, leading to high mixed-form organizations performance. This dissertation illustrates the relative theories bound to the research topic and moves one step forward into hierarchies, the U-form dominated and M-form dominated mixed forms. And this dissertation puts forward a hypothesis on how to lead an economic regulation to more stable. The suggested theory was empirically tested in a case study and received strong support. The conclusion of the conducted research is that an economic regulation governed by an M-form dominated organization with stronger incentive and less direct control is more stable than a U-form dominated organization with weaker incentive and more direct control.
Exact Soft-Covering Exponent Semih Yagli

This work establishes the exact exponent for the soft-covering phenomenon of a memoryless channel under the total variation metric. The exponent, established herein, is a strict improvement (in both directions) on bounds found in the literature. This complements the recent literature establishing the exact exponent under the relative entropy metric; however, the proof techniques have significant differences, neither bound trivially implies the other. This result implies new and improved bounds for various problems that use soft-covering as their achievability argument, including new lower bounds for the resolvability exponent and the secrecy exponent in the wiretap channel.
Part II : The Contribution of HRM to Corporate Entrepreneurship : a review and agenda for future research

How to cite this article : -------------------------------------------------------------------------------------------------------------------James C. Hayton et al., « Entrepreneurship: a review and agenda for future research », M@n@gement 2013/4 (Vol. 16), p. 381-409. DOI 10.3917/mana.164. 0381 --------------------------------------------------------------------------------------------------------------------
THE NON-OPERATOR LANDOWNER AND AGROFORESTRY : AN ANALYSIS OF FACTORS ASSOCIATED WITH INTEREST IN AGROFORESTRY PRACTICES

Land tenure has long been considered a critical factor in determining the adoption and long-term maintenance of agroforestry practices. Empirical evidence from tropical countries has consistently shown that secure land tenure is positively associated with agroforestry adoption. In the US, more than 40 percent of the private land employed in agriculture is farmed by someone other than the owner. Given the clear importance of land tenure in agroforestry decisions overseas and the magnitude of non-operator landownership in the US, there has been surprisingly little focus on land tenure in the temperate agroforestry literature. Using data from a 1999 survey in Missouri, this study seeks to provide insight into factors associated with non-operator landowner interest in agroforestry. Results suggest that differences in farming orientation affect interest in agroforestry. Closer ties to farming, stronger financial motivations for landownership, and higher proportion of land planted to row crops were negatively related to interest in agroforestry among non-operator landowners. On the other hand, environmental or recreational motivations for landownership and contacts with natural resource professionals were positively associated with interest in agroforestry. These results, consistent with earlier qualitative research suggesting that farm operators who have a strong “conventional farming identity” were less interested in agroforestry, point to a divide between landowners for whom environmental and recreational values play an important role in ownership motivation and those for whom financial considerations take precedence. The findings imply that agroforestry development programs in the US should take non-operator landowners and their farming and ownership orientations into account when designing research and outreach efforts.