Miracle-dz/UniFAR-FTUs huggingface dataset:
The HDAC Inhibitor LAQ824 Enhances Epigenetic Reprogramming and In Vitro Development of Porcine SCNT Embryos

Background/Aims: Hypoacetylation caused by aberrant epigenetic nuclear reprogramming results in low efficiency of mammalian somatic cell nuclear transfer (SCNT). Many epigenetic remodeling drugs have been used in attempts to improve in vitro development of porcine SCNT embryos. In this study, we examined the effects of LAQ824, a structurally novel histone acetylase inhibitor, on the nuclear reprogramming and in vitro development of porcine SCNT embryos. Methods: LAQ824 treatment was supplemented during the culture of SCNT embryos. The reprogramming levels were measured by immunofluorescence and quantified by image J software. Relative expression levels of 18 genes were analyzed by quantitative real-time PCR. Results: 100 nM LAQ824 treatment of post-activation SCNT embryos for 24 h significantly improved the subsequent blastocyst formation rate. The LAQ824 treatment enhanced histone 3 lysine 9 (H3K9) levels, histone 4 lysine 12 (H4K12) levels, and reduced global DNA methylation levels as well as anti-5-methylcytosine (5-mC) at the pseudo-pronuclear and 2-cell stages. Furthermore, LAQ824 treatment positively regulated the mRNA expression of genes for histone acetylation (HAT1, HDAC1, 2, 3, and 6), DNA methylation (DNMT1, 3a and 3b), development (Pou5f1, Nanog, Sox2, and GLUT1) and apoptosis (Bax, Bcl2, Caspase 3 and Bak) in blastocysts. Conclusion: Optimum exposure (100 nM for 24 h) to LAQ824 post-activation improved the in vitro development of porcine SCNT embryos by enhancing levels of H3K9 and H4K12, reducing 5-mC, and regulating gene expression.
Feature Reduction for Information Retrieval

A solar energy collector having improved absorptance and emissivity levels comprising: (1) a silver-copper oxide-rhodium oxide solar absorption film, (2) a cerium oxide interlayer and a substrate of quartz, silica glass or metal. The cerium oxide interlayer minimizes agglomeration of the metal particles, maintains a relatively low thermal emittance and improves overall stability.
Tabulation and analysis of questionnaire results of subjective evaluation of seal robot in Japan, U.K., Sweden and Italy

This paper describes research on a "mental commit robot". These robots have a different target audience to industrial robots, one that is not so rigidly dependent on objective measures such as accuracy and speed. The main goal of this research is to explore a new area in robotics, with the emphasis on human-robot interaction. In previous research, we classified robots into four categories, which related to their appearance. We then introduced a robot cat and a robot seal, which we evaluated by interviewing a large group of people. The results showed that physical interaction improved their subjective evaluation of the robots. Moreover, a priori knowledge of a subject has a considerable influence on the subjective interpretation and evaluation of mental commit robots. In this paper, we asked several groups of subjects to evaluate the seal robot known as 'Paro' by answering questionnaires that were given out in exhibitions that were held in four different countries; Japan, U.K., Sweden and Italy. This paper reports the results of statistical analysis of the evaluation data.
Effect Of Magnetic Field On Steady Blood Flow Through An Inclined Circular Tube

The present paper is devoted to study the flow of an incompressible viscous, electrically conducting fluid (blood) in a rigid inclined circular tube in the presence of transverse magnetic field. The blood is considered to be Newtonian fluid. The analytical expression for velocity profile and flow rate are obtained. The velocity profile and flow rate for various values of Hartmann number and inclination angle have been shown graphically. The bluntness appears in velocity profile and this bluntness decrease by increasing magnetic field.
University of Pennsylvania Working Papers in Linguistics Word Building and the Icelandic Noun Phrase Word Building and the Icelandic Noun Phrase Word Building and the Icelandic Noun Phrase

In this paper I explore the different orders of elements found within the Icelandic definite noun phrase where four main patterns are PP. Previous approaches, working under the assumption that the order in (ii) did not exist, focussed on the derivation of (iii) from (i), generally assuming the fronting of the adjective to be a single movement operation. In recent years, however, it has been shown that not only does the order in (ii) exist, but the choice between (i-iii) is not semantically neutral. Hence to account for the order in (ii), I propose that the fronting of the adjective and noun to be a result of two separate movement operations: head movement of N to D and phrasal movement of AP to Spec-DP. I propose that the orders in (ii-iv) are a direct result of D's attractiveness.
Investigation of a Novel Microfluidic Device for Label-Free Ferrohydrodynamic Cell Separation on a Rotating Disk

Negative magnetophoresis is a novel and attractive method for continuous microparticle sorting inside a magnetic medium. In this method, diamagnetic particles are sorted based on their sizes using magnetic buoyancy force and without any labeling process. Although this method provides some attractive features, such as low-cost fabrication and ease of operation, there are some obstacles that adversely affect its performance, especially for biological applications. Most types of magnetic media, such as ferrofluids, are not biocompatible, and the time-consuming process of sample preparation can be threatening to the viability of the cells within the sample. Furthermore, in this method, both the target and non-target particles are affected by the magnetic field, and therefore, a high separation efficiency cannot be achieved. In this paper, to isolate the abnormal cells from the other blood cells, a microfluidic device was designed using numerical simulation. This model utilizes negative magnetophoresis on a rotating disk, and to reduce the exposure time of the cells inside the magnetic medium, a micromixer is embedded in the upstream of the separator which rapidly prepares the sample. In this part, diluted blood sample and ferrofluid are mixed together utilizing magnetic force. Afterward, the separator sorts the cells into multiple outlets using magnetic buoyancy force as well as centrifugal force. The numerical procedure employed in this study shows that the proposed model is able to recover ∼100% of the abnormal cells from a particular outlet for binary and ternary separation of the cells with high throughputs. Although this percentage of separation may be lower in reality, the optimization of the proposed design by the numerical method can avoid trial-and-error during costly and time-consuming experiments. Also, the device proposed in this study reduces the exposure time of the cells inside the ferrofluid to just a few seconds, which can improve cell viability.
Protein Farnesyltransferase Inhibitor (SCH 66336) Abolishes NF-κB Activation Induced by Various Carcinogens and Inflammatory Stimuli Leading to Suppression of NF-κB-regulated Gene Expression and Up-regulation of Apoptosis*

Ras farnesyltransferase inhibitor (FTI) exhibit antiproliferative and antiangiogenic effects through a mechanism that is poorly understood. Because of the known role of Ras in the activation of transcription factor NF-κB and because NF-κB-regulated genes can control cell survival and angiogenesis, we postulated that FTI mediates its effects in part by modulating NF-κB activation. Therefore, in the present study we investigated the effect of FTI, SCH 66336, on NF-κB and NF-κB-regulated gene expression activated by a variety of inflammatory and carcinogenic agents. We demonstrate by DNA-binding assay that NF-κB activation induced by tumor necrosis factor (TNF), phorbol 12-myristate 13-acetate, cigarette smoke, okadaic acid, and H2O2 was completely suppressed by SCH 66336; the suppression was not cell type-specific. This FTI suppressed the activation of IκBα kinase (IKK), thus abrogating the phosphorylation and degradation of IκBα. Additionally, TNF-activated Ras and SCH 66336 inhibited the activation. Also, overexpression of Ras (V12) enhanced TNF-induced NF-κB activation, and adenoviral dominant-negative Ras (N17) suppressed the activation, thus suggesting the critical role of Ras in TNF signaling. SCH 66336 also inhibited the NF-κB-dependent reporter gene expression activated by TNF, TNFR1, TRADD, TRAF2, NIK, and IKK but not that activated by the p65 subunit of NF-κB. The TNF-induced NF-κB-regulated gene products cyclin D1, COX-2, MMP-9, survivin, IAP1, IAP2, XIAP, Bcl-2, Bfl-1/A1, TRAF1, and FLIP were all down-regulated by SCH 66336, which potentiated apoptosis induced by TNF and doxorubicin. Overall, our results indicate that SCH 66336 inhibited activation of NF-κB and NF-κB-regulated gene expressions induced by carcinogens and inflammatory stimuli, which may provide a molecular basis for the ability of SCH 66336 to suppress proliferation and angiogenesis.
So-Called Non-Subsective Adjectives

The interpretation of adjective-noun pairs plays a crucial role in tasks such as recognizing textual entailment. Formal semantics often places adjectives into a taxonomy which should dictate adjectives’ entailment behavior when placed in adjective-noun compounds. However, we show experimentally that the behavior of subsective adjectives (e.g. red ) ver-sus non-subsective adjectives (e.g. fake ) is not as cut and dry as often assumed. For example, inferences are not always symmetric: while ID is generally considered to be mutually exclu-sive with fake ID , fake ID is considered to entail ID . We discuss the implications of these ﬁndings for automated natural language understanding.
Relationship Between Hip and Knee Kinematics in Athletic Women During Cutting Maneuvers: A Possible Link to Noncontact Anterior Cruciate Ligament Injury and Prevention

Imwalle, LE, Myer, GD, Ford, KR, and Hewett, TE, Relationship between hip and knee kinematics in athletic women during cutting maneuvers: a possible link to noncontact anterior cruciate ligament injury and prevention. J Strength Cond Res 23(8): 2223-2230, 2009-The purposes of this study were to compare lower-extremity kinematics during a 45° and 90° cutting maneuver and to examine the relationships between lower-extremity rotations during these maneuvers. The hypotheses tested were that greater internal hip and knee rotation angles would be observed during the cutting maneuver at a 90° angle (90° cut) compared with the maneuver performed at a 45° angle (45° cut) and that the increased internal hip and knee rotation would be related to increased knee abduction measures. Nineteen athletes from women's soccer teams (17.6 ± 2.1 yr, 165.6 ± 8.2 cm, 60.2 ± 5.6 kg) were instructed to jump across a line and cut at the appropriate angle (either 45° or 90° side-step cut) and in the appropriate direction. Lower-extremity kinematic measures were taken at peak force during the stance phase. Hip internal rotation and knee internal rotation (p = 0.008) were increased during the 90° cut compared with the 45° cut. Mean hip flexion (p < 0.001) was also greater in the 90° cut. The only significant predictor of knee abduction during both tasks was hip adduction (R = 0.49). The findings indicate that the mechanisms underlying increased knee abduction measures in athletic women during cutting tasks were primarily coronal plane motions at the hip. Trunk and hip focused strength neuromuscular training may improve the ability of athletic women to increase control of lower-extremity alignment. Therefore, these women may decrease dangerous knee loads that result from increased hip adduction during dynamic tasks, thus decreasing anterior cruciate ligament injury risk.
On drive-by-download attacks and malware classification

This paper provides a review and discussion on categorisation of malware and evaluation of techniques used by previous research in classifying malware into families. AI techniques used in previous research together with proposed solutions are discussed; some research questions identified and our future research direction is highlighted. Unsupervised algorithms provide higher speed clustering of malware as time is not invested in labelling malware samples. Algorithms based on supervised learning tent to provide higher accuracy as they use labelled data in their learning stage. Unfortunately due to the vast amount of unlabelled malware released daily, supervised learning for classification of malware is infeasible. The key aspect identified is the lack of attempt at integrating unsupervised learning with semisupervised learning to categorise malware.
Reordering Program Statements for Improving Readability

In order to understand source code, humans sometimes execute the program in their mind. When they illustrate the program execution in their mind, it is necessary to memorize what values all the variables are along with the execution. If there are many variables in the program, it is hard to their memorization. However, it is possible to ease to memorize them by shortening the distance between the definition of a variable and its reference if they are separated in the source code. This paper proposes a technique reordering statements in a module by considering how far the definition of a variable is from its references. We applied the proposed technique to a Java OSS and collected human evaluations for the reordered methods. As a result, we could confirm that the reordered methods had better readability than their originals. Moreover, we obtained some knowledge of human consideration about the order of statements.
An Economic View on Human Language Technology Evaluation

This paper analyses some general issues about human language technology evaluation, focusing on economic aspects. It first provides a scientific rationale for the need to organize evaluation in the form of campaigns, by relating this need to some basic characteristics of human language technologies, namely that they involve learning to process information in a way which reproduces human capabilities. It then reviews the benefits and constraints of these evaluation campaigns. Borrowing concepts from the field of economics, it also provides an analysis of the economic incentives to organize evaluation campaigns. It entails from this analysis that fitting evaluation campaigns to the needs of scientific research requires a strong implication in term of research policy and public funding.
Factored Symmetries for Merge-and-Shrink Abstractions

Merge-and-shrink heuristics crucially rely on effective reduction techniques, such as bisimulation-based shrinking, to avoid the combinatorial explosion of abstractions. We propose the concept of factored symmetries for merge-and-shrink abstractions based on the established concept of symmetry reduction for state-space search. We investigate under which conditions factored symmetry reduction yields perfect heuristics and discuss the relationship to bisimulation. We also devise practical merging strategies based on this concept and experimentally validate their utility.
Potential for Enhancement of Aerobic Biological Removal of Recalcitrant Organic Matter in Bleached Pulp Mill Effluents

Increasingly stringent effluent quality limits for bleached kraft pulp mills pose a great challenge to mill wastewater system managers since these limits can require levels of chemical oxygen demand (COD) removal efficiency rarely reported for biological treatment of these types of effluents. The present study was therefore undertaken to better understand the nature of recalcitrant COD in bleached kraft pulp effluents that persists through the biological treatment system. Bleaching effluents from a Brazilian eucalypt bleached kraft pulp mill were collected and treated in a bench-scale sequencing batch reactor. Organic matter in raw and treated effluents was characterized before and after separation into low and high molecular mass fractions. Biological treatment removed 71% of the COD, with 83% removal of the low molecular mass COD but only 36% removal of the high molecular mass COD. Microorganisms capable of degrading the recalcitrant COD were isolated from enrichment cultures of the original activated sludge fed on fractions of the bleaching effluent that presented low biodegradabilities. Use of a microbial consortium composed of ten of these isolates to treat the biologically treated effluent removed a further 12% of the effluent COD, all from the high molecular mass fraction. Results of this research indicate that microorganisms with potential for degrading recalcitrant COD are present in activated sludge, but that these are not metabolically active during normal activated sludge treatment of mill effluents. The use of biological selectors in the treatment system to promote growth of such microorganisms may enhance removal of recalcitrant organic matter.
Serial Combination of Rules and Statistics: A Case Study in Czech Tagging

A hybrid system is described which combines the strength of manual rule-writing and statistical learning, obtaining results superior to both methods if applied separately. The combination of a rule-based system and a statistical one is not parallel but serial: the rule-based system performing partial disambiguation with recall close to 100% is applied first, and a trigram HMM tagger runs on its results. An experiment in Czech tagging has been performed with encouraging results.
A Novel Prototype Tool for Intelligent Software Project Scheduling and Staffing Enhanced with Personality Factors

Software project managers are often faced with challenges when trying to effectively staff and schedule projects. Incorrectly planning and estimating the execution of tasks frequently causes software projects to be delivered late and/or over budget, whereas not selecting the appropriate developers to carry out tasks may produce lower-quality, defective software products. To combat these challenges, this paper presents IntelliSPM -- a tool aiming to support software project management activities consisting of several optimization mechanisms borrowed from the area of Computational Intelligence. The tool takes into account technical aspects but also significant human factors, which have been found to play a crucial role in software quality and developer productivity. The purpose of IntelliSPM is to offer suggestions to project managers containing a set of possible project schedules and staffing strategies that minimizes duration and maximizes resource usage. Several simulated and real-world projects were used during the validation process, with results showing that IntelliSPM is capable of providing that much-needed practical benefit to software companies to improve various aspects of development, such as performance and job satisfaction, whilst keeping within the general objectives and particular constraints of each software project.
A Moment‐Adjusted Imputation Method for Measurement Error Models

Summary Studies of clinical characteristics frequently measure covariates with a single observation. This may be a mismeasured version of the “true” phenomenon due to sources of variability like biological fluctuations and device error. Descriptive analyses and outcome models that are based on mismeasured data generally will not reflect the corresponding analyses based on the “true” covariate. Many statistical methods are available to adjust for measurement error. Imputation methods like regression calibration and moment reconstruction are easily implemented but are not always adequate. Sophisticated methods have been proposed for specific applications like density estimation, logistic regression, and survival analysis. However, it is frequently infeasible for an analyst to adjust each analysis separately, especially in preliminary studies where resources are limited. We propose an imputation approach called moment‐adjusted imputation that is flexible and relatively automatic. Like other imputation methods, it can be used to adjust a variety of analyses quickly, and it performs well under a broad range of circumstances. We illustrate the method via simulation and apply it to a study of systolic blood pressure and health outcomes in patients hospitalized with acute heart failure.
Binge Drinking, Antisocial and Unlawful Behaviours, and Beverage Types

This paper examines evidence from Australia on the factors associated with binge drinking and several alcohol-related antisocial and unlawful behaviours. In particular, to quantify the negative externalities of excessive alcohol consumption by product type, our primary focus is the link with eleven types of alcoholic beverages. We also examine the role of binge drinking in increasing the likelihood for engaging in these antisocial and unlawful behaviours. We use individual-level data from a national representative survey and a multivariate probit model that allows unobservable factors for all negative behaviours to be correlated. Potential misclassification in the self-reported consumption data is accounted for. Results provide valuable evidence for more effective alcohol taxation as a tool for correcting differentiated negative externalities by beverage type.
Reliability evaluation of multivalued logic circuits via probabilistic transfer matrices

This paper is concerned with reliability evaluation for logic networks. The proposed approach is based on the notation of probabilistic transfer matrices (PTM), which is extended from binary to multivalued gates and circuits. The presented approach models all sources of uncertainty in the multivalued circuits, including faulty gates, noisy signals and unreliable interconnections, in order to derive the overall reliability of a given multivalued circuit.
A IEEE802.11 Rate Control Scheme for Streaming Media Transmission over Wireless Mesh Network

This paper proposes a simplified model to describe distance node interference in IEEE802.11 based Wireless Mesh Network (WMN). An Interference Range based Rate Control (IRRC) scheme to resist interference from distant terminals based on interference level adjustment is presented, which builds tradeoff between custom FER and transmission rate according to current estimated interference level. Simulation results demonstrate effectiveness of our proposed schemes.
Extracting Pathlets From Weak Tracking Data ∗

We present a novel framework for extracting “pathlets” from tracking data. A pathlet is defined as a motion region that contains tracks having the same origin and destination in the scene and that are temporally correlated. The proposed method requires only weak tracking data (multiple fragmented tracks per target). We employ a probabilistic state space representation to construct a Markovian transition model and estimate the scene entry/exit locations. The resulting model is treated as a set of vertices in a graph and a similarity matrix is built which describes broader nonlocal relationships between states. A Spectral Clustering approach is then used to automatically extract the pathlets of the scene. We present experimental results from scenes of varying difficulty and compare against other approaches.
Draft Genome Sequence of Bacillus mycoides M2E15, a Strain Isolated from the Endosphere of Potato

ABSTRACT We present the draft genome sequence of Bacillus mycoides M2E15, a bacterium isolated from potato endosphere. Analysis of the 6.08-Mbp draft genome sequence identified 6,386 protein-encoding sequences, including potential plant growth promoting genes. Specifically, genes for proteins involved in phosphate utilization, iron acquisition, and bacteriocin production were identified.