Miracle-dz/UniFAR-FTUs huggingface dataset:
The LMO2 oncogene regulates DNA replication in hematopoietic cells

Significance Understanding how cell cycle and cell differentiation are coordinated during normal hematopoiesis will reveal molecular insights in leukemogenesis. LIM-only 2 (LMO2) is a transcriptional regulator that controls the erythroid lineage via activation of an erythroid-specific gene expression program. Here, we uncover an unexpected function for LMO2 in controlling DNA replication via protein–protein interactions with essential DNA replication enzymes. To our knowledge, this work provides the first evidence for a nontranscriptional function of LMO2 that drives the cell cycle at the expense of differentiation in the erythroid lineage and in thymocytes when misexpressed following genetic alterations. We propose that the nontranscriptional control of DNA replication uncovered here for LMO2 may be a more common function of oncogenic transcription factors than previously appreciated. Oncogenic transcription factors are commonly activated in acute leukemias and subvert normal gene expression networks to reprogram hematopoietic progenitors into preleukemic stem cells, as exemplified by LIM-only 2 (LMO2) in T-cell acute lymphoblastic leukemia (T-ALL). Whether or not these oncoproteins interfere with other DNA-dependent processes is largely unexplored. Here, we show that LMO2 is recruited to DNA replication origins by interaction with three essential replication enzymes: DNA polymerase delta (POLD1), DNA primase (PRIM1), and minichromosome 6 (MCM6). Furthermore, tethering LMO2 to synthetic DNA sequences is sufficient to transform these sequences into origins of replication. We next addressed the importance of LMO2 in erythroid and thymocyte development, two lineages in which cell cycle and differentiation are tightly coordinated. Lowering LMO2 levels in erythroid progenitors delays G1-S progression and arrests erythropoietin-dependent cell growth while favoring terminal differentiation. Conversely, ectopic expression in thymocytes induces DNA replication and drives these cells into cell cycle, causing differentiation blockade. Our results define a novel role for LMO2 in directly promoting DNA synthesis and G1-S progression.
Controlled time of arrival feasibility analysis

Previous research studies and operational trials have shown that using the airborne Required Time of Arrival (RTA) function, an aircraft can individually achieve an assigned time to a metering or merge point accurately. This study goes a step further and investigates the application of RTA to a real sequence of arriving aircraft into Melbourne Australia. Assuming that the actual arrival times were Controlled Time of Arrivals (CTAs) assigned to each aircraft, the study examines if the airborne RTA solution would work. Three scenarios were compared: a baseline scenario being the actual flown trajectories in a two hour time-span into Melbourne, a scenario in which the sequential landing slot times of the baseline scenario were assigned as CTAs and a third scenario in which the landing slots could be freely redistributed to the inbound traffic as CTAs. The research found that pressure on the terminal area would sometimes require aircraft to lose more time than possible through the RTA capability. Using linear holding as an additional measure to absorb extensive delays, up to 500NM (5%) of total track reduction and 1300kg (3%) of total fuel consumption could be saved in the scenario with landing slots freely distributed as CTAs, compared to the baseline scenario. Assigning CTAs in an arrival sequence requires the ground system to have an accurate trajectory predictor to propose additional delay measures (path stretching, linear holding) if necessary. Reducing the achievable time window of the aircraft to add control margin to the RTA function, had a negative impact and increased the amount of intervention other than speed control required to solve the sequence. It was concluded that the RTA capability is not a complete solution but merely a tool to assist in managing the increasing complexity of air traffic.
Early Motion for Achilles Tendon Ruptures: Is Surgery Important?

Background Comparisons of surgically and nonsurgically treated Achilles tendon ruptures have demonstrated that those treated with surgery allow earlier motion and tend to show superior results. However, early motion enhances tendon healing with or without surgery and may be the important factor in optimizing outcomes in patients with Achilles tendon rupture. Hypothesis There is no difference in the outcome of acute Achilles tendon rupture treated nonoperatively or operatively if controlled early motion is allowed as part of the rehabilitation program. Study Design Randomized, controlled clinical trial; Level of evidence, 1. Methods Patients with acute rupture of the Achilles tendon were randomized to surgery or no surgery, with both groups receiving early motion controlled in a removable orthosis, progressing to full weightbearing at 8 weeks from treatment. Both groups were followed prospectively for 12 months with measurements of range of motion, calf circumference, and the Musculoskeletal Functional Assessment Instrument (MFAI) outcome score; any reruptures and any complications were noted. Results Both groups were comparable for age and sex. There were no significant differences between the 2 groups in plantar flexion, dorsiflexion, calf circumference, or the MFAI scores measured at 2, 8, 12, 26, or 52 weeks. One patient in each group was noncompliant and required surgical rerepair of the tendon. There were no differences in complications and a similar low number of reruptures in both groups. Conclusion This study supports early motion as an acceptable form of rehabilitation in both surgically and nonsurgically treated patients with comparable functional results and a low rerupture rate. There appears to be no difference between the 2 groups, suggesting that controlled early motion is the important part of treatment of ruptured Achilles tendon.
Trichloroethylene mineralization in a fixed-film bioreactor using a pure culture expressing constitutively toluene ortho -monooxygenase.

An aerobic, single-pass, fixed-film bioreactor was designed for the continuous degradation and mineralization of gas-phase trichloroethylene (TCE). A pure culture of Burkholderia cepacia PR1(23)(TOM(23C)), a Tn5transposon mutant of B. cepacia G4 that constitutively expresses the TCE-degrading enzyme, toluene ortho-monooxygenase (TOM), was immobilized on sintered glass (SIRANtrade mark carriers) and activated carbon. The inert open-pore structures of the sintered glass and the strongly, TCE-absorbing activated carbon provide a large surface area for biofilm development (2-8 mg total cellular protein/mL carrier with glucose minimal medium that lacks chloride ions). At gas-phase TCE concentrations ranging from 0.04 to 2.42 mg/L of air and 0.1 L/min of air flow, initial maximum TCE degradation rates of 0.007-0.715 nmol/(min mg protein) (equivalent to 8.6-392.3 mg TCE/L of reactor/day) were obtained. Using chloride ion generation as the indicator of TCE mineralization, the bioreactor with activated carbon mineralized an average of 6.9-10.3 mg TCE/L of reactor/day at 0.242 mg/L TCE concentration with 0.1 L/min of air flow for 38-40 days. Although these rates of TCE degradation and mineralization are two- to 200-fold higher than reported values, TOM was inactivated in the sintered-glass bioreactor at a rate that increased with increasing TCE concentration (e.g., in approximately 2 days at 0.242 mg/L and <1 day at 2.42 mg/L), although the biofilter could be operated for longer periods at lower TCE concentrations. Using an oxygen probe and phenol as the substrate, the activity of TOM in the effluent cells of the bioreactor was monitored; the loss of TOM activity of the effluent cells corroborated the decrease in the TCE degradation and mineralization rates in the bioreactor. Repeated starving of the cells was found to restore TOM activity in the bioreactor with activated carbon and extended TCE mineralization by approximately 34%. (c) 1997 John Wiley & Sons, Inc. Biotechnol Bioeng 55: 674-685, 1997.
Asymptotic Behavior of Solutions to Half-Linear q-Difference Equations

and Applied Analysis 3 Next we present auxiliary statements which play important roles in proving the main results. Define F : 0,∞ → R by F x Φ x/q−1/q −Φ 1−1/x and h : Φ −∞ q ,∞ → R by h x x 1 − q1−α [ 1 − ( 1 ( q − 1 ) Φ−1 x )1−α] . 2.1 For y : q0 → R \ {0} define the operator L by L [ y ] t Φ ( y ( q2t ) qy ( qt ) − 1 q ) −Φ ( 1 − y t
No evidence of major transcriptional changes in the brain of mice exposed to 1800 MHz GSM signal

To analyze possible effects of microwaves on gene expression, mice were exposed to global system for mobile communication (GSM) 1800 MHz signal for 1 h at a whole body SAR of 1.1 W/kg. Gene expression was studied in the whole brain, where the average SAR was 0.2 W/kg, by expression microarrays containing over 22,600 probe sets. Comparison of data from sham and exposed animals showed no significant difference in gene expression modulation. However, when less stringent constraints were adopted to analyze microarray results, 75 genes were found to be modulated following exposure. Forty‐two probes showed fold changes ranging from 1.5 to 2.8, whereas 33 were down‐regulated from 0.67‐ to 0.29‐fold changes, but these differences in gene expression were not confirmed by real‐time PCR. Under these specific limited conditions, no consistent indication of gene expression modulation in whole mouse brain was found associated to GSM 1800 MHz exposure. Bioelectromagnetics 29:312–323, 2008. © 2008 Wiley‐Liss, Inc.
QT interval, general mortality and the role of echocardiographic parameters of left ventricular hypertrophy: Results from the prospective, population-based CARLA study

Background There is convincing evidence of an association between the QT interval on electrocardiograms and general mortality. However, results are inconclusive regarding the extent to which this association depends on ventricular mass and size. Methods Data were obtained from the prospective, population-based CARLA study, with a mean follow-up of 8.8 years, after exclusion of subjects with atrial fibrillation (919 men, 797 women aged 45–83 years remained eligible). Echocardiographic parameters were left ventricular mass index, left ventricular diastolic dimension index, diastolic interventricular septum thickness, diastolic left ventricular posterior wall and the relative left ventricular wall thickness. Heart rate-corrected QT interval (QTc) was measured with standard 12-lead electrocardiograms using the MEANS algorithm. The association between QTc and survival was modelled using Cox-regression models (crude- and covariate-adjusted). Values were standardized by dividing the QTc by the standard deviation. The association between QTc and survival was assessed in terms of tertiles of echocardiographic parameters. Results In covariate-adjusted models, QTc was associated with general mortality (hazard ratio (HR): 1.19; 95% confidence interval (CI): 1.03, 1.38). Compared with higher tertiles, subjects in the lowest tertile of left ventricular mass index (HR=1.73, 95% CI: 1.26, 2.36) showed the strongest association with general mortality, which was also true for the lowest tertile of diastolic left ventricular posterior wall thickness (HR=1.49, 95% CI: 1.10, 2.02). Conclusion In the general population, the association between QTc and general mortality is strongest in subjects with low left ventricular mass index and diastolic thickness of the left ventricular posterior wall, thus the prognostic value of QTc needs to be interpreted with regard to these echocardiographic parameters.
Production Scheduling of Agile Manufacturing Based on Multi-agents

In the analysis of agile manufacturing environment and the characteristics of the production scheduling control method. This paper utilizes Multi-Agents technology to production scheduling system and builds a rapid response and intelligence agile manufacturing system. This paper utilizes Multi-Agents' ability to achieve the task decomposition. Then this paper makes use of consultation and multi-attributes decision mechanism of contract net to solve the scheduling problem in task allocation and coordination of agile manufacturing. The experimental result shows that the system is effective and efficient.
Inheritance of the lysozyme inhibitor Ivy was an important evolutionary step by Yersinia pestis to avoid the host innate immune response.

BACKGROUND Yersinia pestis (the plague bacillus) and its ancestor, Yersinia pseudotuberculosis (which causes self-limited bowel disease), encode putative homologues of the periplasmic lysozyme inhibitor Ivy and the membrane-bound lysozyme inhibitor MliC. The involvement of both inhibitors in virulence remains subject to debate. METHODS Mutants lacking ivy and/or mliC were generated. We evaluated the mutants' ability to counter lysozyme, grow in serum, and/or counter leukocytes; to produce disease in wild-type, neutropenic, or lysozyme-deficient rodents; and to induce host inflammation. RESULTS MliC was not required for lysozyme resistance and the development of plague. Deletion of ivy decreased Y. pestis' ability to counter lysozyme and polymorphonuclear neutrophils, but it did not affect the bacterium's ability to grow in serum or resist macrophages. Y. pestis lacking Ivy had attenuated virulence, unless animals were neutropenic or lysozyme deficient. The Ivy mutant induced inflammation to a degree similar to that of the parental strain. Last, Y. pseudotuberculosis did not require Ivy to counter lysozyme and for virulence. CONCLUSIONS Ivy is required to counter lysozyme during infection, but its role as a virulence factor is species dependent. Our study also shows that a gene that is not necessary for the virulence of an ancestral bacterium may become essential in the emergence of a new pathogen.
A novel manifold learning for dimensionality reduction and classification with hyperspectral image

Hyperspectral remote sensing image (HSI) consists of hundreds of bands that contain rich space, radiation and spectral information. The high-dimensional data can also lead to the course of dimensionality problem making it difficult to be used effectively. In this paper, we proposed a manifold learning algorithm to reduce the dimensionality for HSI data. For high dimensional datasets with continuous variables, it is often the case that the data points are arranged along with low dimensional structures, named manifolds, in the high dimensional space. Manifold learning aims to identifying those special low dimensional structures for subsequent usage such as classification or regression. However, many manifold learning algorithms perform an eigenvector analysis on a data similarity matrix whose size is N∗N, where N is the number of data points. The memory complexity of the analysis is at least O(N2) that is not feasible for a regular computer to compute or storage for very large datasets. To solve this problem, we used statistical sampling methods to sample a subset of data points as landmarks. A skeleton of the manifold was then identified based on the landmarks. The remaining data points were then inserted into the skeleton by Locally Linear Embedding (LLE). We tested our algorithm on AVIRIS Salinas-A data set. The experimental results showed that the HSI dataset could be reduced to a lower-dimensional space for land use classification with good performance, and the main structure was preserved well.
An automatic filtering algorithm in the domain WT coefficient's maxima

This paper presents a method, which can automatically implement the Mallat's filtering algorithm in WT (wavelet transform) coefficient's maxima domain. It can automatically find the maxima which corresponding to the same edges through all the scales (which we called the same edge maxima (SE-maxima) in this paper), and can be applied in many field for signal's automatic detection and de-noising. Also, it makes it possible for real time implementation for edge detecting based on WT coefficient maxima
Do crude oil price changes affect economic growth of India , Pakistan and Bangladesh ?

This paper analyzes empirically the effect of crude oil price change on the economic growth of Indian-Subcontinent (India, Pakistan and Bangladesh). We use a multivariate Vector Autoregressive analysis followed by Wald Granger causality test and Impulse Response Function (IRF). Wald Granger causality test results show that only India’s economic growth is significantly affected when crude oil price decreases. Impact of crude oil price increase is insignificantly negative for all three countries during first year. In second year, impact is negative but smaller than first year for India, negative but larger for Bangladesh and positive for Pakistan.
Linked data on the web (LDOW2008)

The Web is increasingly understood as a global information space consisting not just of linked documents, but also of Linked Data. More than just a vision, the resulting Web of Data has been brought into being by the maturing of the Semantic Web technology stack, and by the publication of an increasing number of datasets according to the principles of Linked Data. The Linked Data on the Web (LDOW2008) workshop brings together researchers and practitioners working on all aspects of Linked Data. The workshop provides a forum to present the state of the art in the field and to discuss ongoing and future research challenges. In this workshop summary we will outline the technical context in which Linked Data is situated, describe developments in the past year through initiatives such as the Linking Open Data community project, and look ahead to the workshop itself.
Design, synthesis and biological activity of 1H-indene-2-carboxamides as multi-targeted anti-Alzheimer agents

Abstract The aim of this study was to design new molecules and evaluate their anticholinesterase and amyloid beta (Aβ1–42) inhibition activities as multifunctional drug candidates for the treatment of Alzheimer’s disease (AD). A series of 5,6-dimethoxy-1H-indene-2-carboxamides (1–22) was synthesized; cholinesterase inhibitory activities of the compounds were measured according to Ellman’s colorimetric assay, while the thioflavin T assay was used for measuring the inhibition of Aβ1–42 aggregation. The results revealed that most compounds showed higher inhibitory activity against BuChE than AChE. Compounds 20 and 21 were found to be the most potent BuChE inhibitors with respective IC50 values of 1.08 and 1.09 μM. Compounds 16, 20, 21 and 22 exhibited remarkable inhibition of Aβ1–42 aggregation. Kinetic analysis showed that the most potent BuChE inhibitor (20) acted as a noncompetitive inhibitor. Docking studies suggested that inhibitor 20 displayed many potential hydrogen-bondings with the PAS of BuChE. These results suggest that compound 20 may be an especially promising multifunctional drug for the prevention and treatment of AD.
Work Environment Stressors-T he l ink be tween emplo yees ’ we l lbe ing and job per fo rmance ?

Background: Employees are the human capital which contributes to the success and development of a company to a great extent. Thus, these days, companies do not see them only as factors of production from the classical perspective, but have started to value them as stakeholders and partners with whom long-term goals are achieved together. Problem Discussion & Purpose: Researchers realized the need of companies to deal with employees, and for that reason, there has been great time and effort spent on studies concerning the relation between job satisfaction and job performance. However, the authors of the thesis came to conclusion that the link between job satisfaction and job performance was still a vague one. Therefore, the thesis is focused on the concept of well-being. The study concentrates on blue-collar workers, and the purpose is to explore and understand the relation between job-related well-being and employees’ job performance in the context of stress caused by following environmental factors: working tools, workload, heat, noise, and safety. Theoretical Framework: The theories used for this study are concerning job performance, well-being, and stress. An emphasis is given on the work environmental stressors, which are working tools, workload, safety, heat, and noise. Methodology: To make this study, the researchers applied qualitative approach and used 8 semi-structured interviews to collect the data. The authors have conducted personal “faceto-face” interviews. All of them were tape-recorded to provide the maximum accuracy of received data. Information was gathered within one company. Conclusion: After conducting research, acquiring empirical findings, and making analysis of data, the thesis authors suggest that there is a link between job performance and jobrelated well-being via the work environment stressors. The authors of the thesis assume that probably the relationship between well-being and performance can look as a “circle-” or “spiral”-like model, where well-being and performance influence each other mutually, however, in different ways at different stages of the model. The influence of well-being on job performance via researched work environment stressors can be either direct or indirect. The study is of a great importance because it gives good insight of seeing well-being as a link to performance which previously was not done by any other research. Being aware of the influence of the environmental factors, managers can better realize how these factors contribute to the performance and well-being of their employees, and find ways how to improve working environment in order to increase workers’ job performance and jobrelated well-being.
A semi-parametric time series approach in modeling hourly electricity loads

In this paper we develop a semi-parametric approach to model nonlinear relationships in serially correlated data. To illustrate the usefulness of this approach, we apply it to a set of hourly electricity load data. This approach takes into consideration the effect of temperature combined with those of time-of-day and type-of-day via nonparametric estimation. In addition, an ARIMA model is used to model the serial correlation in the data. An iterative backfitting algorithm is used to estimate the model. Post-sample forecasting performance is evaluated and comparative results are presented. Copyright © 2006 John Wiley & Sons, Ltd.
Structure of the lethal phage pinhole

Perhaps the simplest of biological timing systems, bacteriophage holins accumulate during the phage morphogenesis period and then trigger to permeabilize the cytoplasmic membrane with lethal holes; thus, terminating the infection cycle. Canonical holins form very large holes that allow nonspecific release of fully-folded proteins, but a recently discovered class of holins, the pinholins, make much smaller holes, or pinholes, that serve only to depolarize the membrane. Here, we interrogate the structure of the prototype pinholin by negative-stain transmission electron-microscopy, cysteine-accessibility, and chemical cross-linking, as well as by computational approaches. Together, the results suggest that the pinholin forms symmetric heptameric structures with the hydrophilic surface of one transmembrane domain lining the surface of a central channel ≈15 Å in diameter. The structural model also suggests a rationale for the prehole state of the pinholin, the persistence of which defines the duration of the viral latent period, and for the sensitivity of the holin timing system to the energized state of the membrane.