Explore the Functional Connectivity between Brain Regions during a Chemistry Working Memory Task.

Previous studies have rarely examined how temporal dynamic patterns, event-related coherence, and phase-locking are related to each other. This study assessed reaction-time-sorted spectral perturbation and event-related spectral perturbation in order to examine the temporal dynamic patterns in the frontal midline (F), central parietal (CP), and occipital (O) regions during a chemistry working memory task at theta, alpha, and beta frequencies. Furthermore, the functional connectivity between F-CP, CP-O, and F-O were assessed by component event-related coherence (ERCoh) and component phase-locking (PL) at different frequency bands. In addition, this study examined whether the temporal dynamic patterns are consistent with the functional connectivity patterns across different frequencies and time courses. Component ERCoh/PL measured the interactions between different independent components decomposed from the scalp EEG, mixtures of time courses of activities arising from different brain, and artifactual sources. The results indicate that the O and CP regions' temporal dynamic patterns are similar to each other. Furthermore, pronounced component ERCoh/PL patterns were found to exist between the O and CP regions across each stimulus and probe presentation, in both theta and alpha frequencies. The consistent theta component ERCoh/PL between the F and O regions was found at the first stimulus and after probe presentation. These findings demonstrate that temporal dynamic patterns at different regions are in accordance with the functional connectivity patterns. Such coordinated and robust EEG temporal dynamics and component ERCoh/PL patterns suggest that these brain regions' neurons work together both to induce similar event-related spectral perturbation and to synchronize or desynchronize simultaneously in order to swiftly accomplish a particular goal. The possible mechanisms for such distinct component phase-locking and coherence patterns were also further discussed

Metastatic carcinoma of the urinary bladder in a 67-year-old female with underlying triple primary cancers

AbstractDue to progressive ageing of our population and increasing cancer incidence rates, more and more patients are presenting with multiple primary cancers. Here we describe a case of metastatic carcinoma involving the urinary bladder with underlying triple primary adenocarcinoma in a female adult.A 67-year-old Taiwanese female presented to our institution in November 1997 with gastric signet ring cell carcinoma, pT2N0M0, status post subtotal gastrectomy. In February 2003 she was diagnosed with left breast invasive lobular carcinoma status post modified radical mastectomy, pT2N2M0. Further examination in January 2005 revealed proximal transverse colon cancer, Dukes' C2, with status post right hemicolectomy. She achieved disease-free status from all three malignancies after surgical resection and adjuvant chemotherapy for breast and colon cancers sequentially. In November 2011, she complained about sudden onset of gross hematuria for several days. Diagnostic cystoscopy showed a mass lesion over her urinary bladder. Cystoscope-assisted biopsy showed metastatic poorly differentiated adenocarcinoma with signet ring appearance. Herein we have discussed the pathologic role in the diagnosis of metastatic tumor involving a patient with multiple primary cancers. We also explored the epidemiologic risk and potential causal mechanism of patients with multiple primary cancers

Development of an indirect method of microalgal lipid quantification using a lysochrome dye, Nile red

Earlier studies showed that the lipophilic dye, Nile red (9-diethylamino 5H-benzo[α]phenoxazine-5-one) can be used to measure the lipid content of microalgae by cellular in vivo fluorescence. It was observed that a higher amount of lipid present in lipid droplets of microalgal cells would result in higher degree of emitted fluorescent light. In this present study, the feasibility of using Nile red, a fluorescent dye specific for intracellular lipid droplets, as an indirect method of lipid quantifications was investigated. Following cellular staining of different microalgal species with nile red, the in vivo fluorescence of the whole cell was visualized by fluorescence microscopy (excitation: 450 to 590 nm and emission: 520 nm). Intensity of the relative in vivo fluorescence was measured using a fluorescence spectrophotometer at excitation and emission wavelengths of 485 and 590 nm, respectively. Lipid content was determined gravimetrically and the fluorescence of the extract was measured using the microemulsion method at emission and excitation wavelengths of 540 and 617 nm. The equivalent oil content of the extracted lipid was correlated to the fluorescence of pure olive oil using the microemulsion method. Cellular in vivo fluorescence of stained cells (ex: 485 nm and em: 590 nm), fluorescence of extracted lipid (ex: 540 nm and em: 617 nm) and gravimetrically determined lipid were linearly correlated. This suggests that Nile red can serve as a vital stain which allows a relatively rapid method of determining the lipid content of microalgal samples and is as good as the gravimetric method used for lipid determination, eliminating the requirement for the toxic solvents and timeconsuming manipulations.Keywords: Nile red, microalgae, lipid, fluorescenc

THE EFFECTS OF FUNGAL MEDIUM ON HATCHING RATE OF BITING MIDGE

The little black mosquitos, Forcipomyia taiwana, bite human and become one of the most annoying pests in Taiwan. Recently, the population of F. taiwana increases and invades urban and countryside. In order to effectively prevent the harassment of F. taiwana, develop control strategy is urgent and necessary. Our study found that the fungal medium influenced the length and width of the F. taiwana eggs. It also significantly decreased the hatching rate of F. taiwana. Besides, this artificial diet was more non-toxic and environment-friendly than general chemical pesticides. Thus, this study provided critical information to develop potentially useful bait of F. taiwana in the future

rSeqTU—A Machine-Learning Based R Package for Prediction of Bacterial Transcription Units

A transcription unit (TU) is composed of one or multiple adjacent genes on the same strand that are co-transcribed in mostly prokaryotes. Accurate identification of TUs is a crucial first step to delineate the transcriptional regulatory networks and elucidate the dynamic regulatory mechanisms encoded in various prokaryotic genomes. Many genomic features, for example, gene intergenic distance, and transcriptomic features including continuous and stable RNA-seq reads count signals, have been collected from a large amount of experimental data and integrated into classification techniques to computationally predict genome-wide TUs. Although some tools and web servers are able to predict TUs based on bacterial RNA-seq data and genome sequences, there is a need to have an improved machine learning prediction approach and a better comprehensive pipeline handling QC, TU prediction, and TU visualization. To enable users to efficiently perform TU identification on their local computers or high-performance clusters and provide a more accurate prediction, we develop an R package, named rSeqTU. rSeqTU uses a random forest algorithm to select essential features describing TUs and then uses support vector machine (SVM) to build TU prediction models. rSeqTU (available at https://s18692001.github.io/rSeqTU/) has six computational functionalities including read quality control, read mapping, training set generation, random forest-based feature selection, TU prediction, and TU visualization

Various criteria in the evaluation of biomedical named entity recognition

BACKGROUND: Text mining in the biomedical domain is receiving increasing attention. A key component of this process is named entity recognition (NER). Generally speaking, two annotated corpora, GENIA and GENETAG, are most frequently used for training and testing biomedical named entity recognition (Bio-NER) systems. JNLPBA and BioCreAtIvE are two major Bio-NER tasks using these corpora. Both tasks take different approaches to corpus annotation and use different matching criteria to evaluate system performance. This paper details these differences and describes alternative criteria. We then examine the impact of different criteria and annotation schemes on system performance by retesting systems participated in the above two tasks. RESULTS: To analyze the difference between JNLPBA's and BioCreAtIvE's evaluation, we conduct Experiment 1 to evaluate the top four JNLPBA systems using BioCreAtIvE's classification scheme. We then compare them with the top four BioCreAtIvE systems. Among them, three systems participated in both tasks, and each has an F-score lower on JNLPBA than on BioCreAtIvE. In Experiment 2, we apply hypothesis testing and correlation coefficient to find alternatives to BioCreAtIvE's evaluation scheme. It shows that right-match and left-match criteria have no significant difference with BioCreAtIvE. In Experiment 3, we propose a customized relaxed-match criterion that uses right match and merges JNLPBA's five NE classes into two, which achieves an F-score of 81.5%. In Experiment 4, we evaluate a range of five matching criteria from loose to strict on the top JNLPBA system and examine the percentage of false negatives. Our experiment gives the relative change in precision, recall and F-score as matching criteria are relaxed. CONCLUSION: In many applications, biomedical NEs could have several acceptable tags, which might just differ in their left or right boundaries. However, most corpora annotate only one of them. In our experiment, we found that right match and left match can be appropriate alternatives to JNLPBA and BioCreAtIvE's matching criteria. In addition, our relaxed-match criterion demonstrates that users can define their own relaxed criteria that correspond more realistically to their application requirements

Shorter GT repeat polymorphism in the heme oxygenase-1 gene promoter has protective effect on ischemic stroke in dyslipidemia patients

<p>Abstract</p> <p>Background</p> <p>The microsatellite polymorphism of heme oxygenase (HO)-1 gene promoter has been shown to be associated with the susceptibility to ischemic event, including coronary artery disease (CAD), myocardial infarction, and peripheral vascular disease. We aimed to examine whether the length of (GT)_nrepeats in HO-1 gene promoter is associated with ischemic stroke in people with CAD risk factors, especially low level of HDL.</p> <p>Methods</p> <p>A total of 183 consecutive firstever ischemic stroke inpatients and 164 non-stroke patients were screened for the length of (GT)_nrepeats in HO-1 promoter. The long (L) and short (S) genotype are defined as the averaged repeat number >26 and ≦26, respectively.</p> <p>Results</p> <p>Stroke patients tended to have more proportions of hypertension, diabetics and genotype L, than those of genotype S. Patients with genotype L of HO-1 gene promoter have higher stroke risk in comparison with genotype S especially in dyslipidemia individuals. The significant differences on stroke risk in multivariate odds ratios were found especially in people with low HDL-C levels.</p> <p>Conclusions</p> <p>Subjects carrying longer (GT)_nrepeats in HO-1 gene promoter may have greater susceptibility to develop cerebral ischemic only in the presence of low HDL-C, suggesting the protective effects in HO-1 genotype S in the process of ischemic stroke, particularly in subjects with poor HDL-C status.</p