Miracle-dz/UniFAR-FTUs huggingface dataset:
Oncotargets and Therapy Dovepress Dovepress Non-small-cell Lung Cancer Cells Combat Epidermal Growth Factor Receptor Tyrosine Kinase Inhibition through Immediate Adhesion-related Responses

hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms Background: Epidermal growth factor receptor (EGFR) tyrosine kinase inhibitors (TKIs), such as gefitinib, erlotinib, and afatinib, have greatly improved treatment efficacy in non-small cell lung cancer (NSCLC) patients with drug-sensitive EGFR mutations. However, in some TKI responders, the benefits of such targeted therapies are limited by the rapid development of resistance, and strategies to overcome this resistance are urgently needed. Studies of drug resistance in cancer cells typically involve long term in vitro induction to obtain stably acquired drug-resistant cells followed by elucidation of resistance mechanisms, but the immediate responses of cancer cells upon drug treatment have been ignored. The aim of this study was to investigate the immediate responses of NSCLC cells upon treatment with EGFR TKIs. responses as an apoptosis-countering mechanism upon first-time TKI treatment. By gene expression and pathway analysis, adhesion-related pathways were enriched in gefitinib-treated PC9 cells. Pathway inhibition by small-hairpin RNAs or small-molecule drugs revealed that within hours of EGFR TKI treatment, NSCLC cells used adhesion-related responses to combat the drugs. Importantly, we show here that the Src family inhibitor, dasatinib, dramatically inhibits cell adhesion-related response and greatly enhances the cell-killing effects of EGFR TKI (gefitinib for the PC9 cells; afatinib for the H1975 cells) in NSCLC cells, which would otherwise escape the TKI-induced apoptosis. Conclusion: Results from this study indicate that NSCLC cells can employ the adhesion response as a survival pathway to survive under EGFR-targeted therapy. Simultaneous targeting of EGFR signaling and adhesion pathways would further boost the efficacy of EGFR-targeted therapy in NSCLC.
Contention in Multicore Hardware Shared Resources: Understanding of the State of the Art

The real-time systems community has over the years devoted considerable attention to the impact on execution timing that arises from contention on access to hardware shared resources. The relevance of this problem has been accentuated with the arrival of multicore processors. From the state of the art on the subject, there appears to be considerable diversity in the understanding of the problem and in the "approach" to solve it. This sparseness makes it difficult for any reader to form a coherent picture of the problem and solution space. This paper draws a tentative taxonomy in which each known approach to the problem can be categorised based on its specific goals and assumptions.
Benchmark-Driven Automatic Transmoding of 3 D to 2 D Talking Heads

This article presents an approach that automatically refines or simplifies 3D facial animation, including its transformation to 2D graphics, to be displayed at interactive frame rates on heterogeneous devices. Particularly, we detail the preparation of geometry and animation contents, from motion capture or synthesis, that are appropriate for adaptation and conversion, the adaptation and conversion methods themselves, and how they are driven by hardware capabilities extracted from a specific benchmarking tool.
Constraint-Based Recommendation in Tourism: A Multiperspective Case Study

In many business-to-consumer (B2C) e-commerce scenarios, recommender systems (RS) have been shown to be valuable tools both for the online customer and the merchant. Such systems help customers find interesting items in large product assortments, increasing the chance of immediate online purchases and fostering long-term customer loyalty. However, standard technologies from classical RS application domains such as books and movies cannot be directly adopted in the tourism domain. This article presents a case study of a constraint-based RS that was integrated into a travel advisory system for an Austrian spa resort. The study analyzes the system and its environment from three perspectives. First, technological aspects of system development and maintenance are discussed; second, corresponding to the supplier’s view, the end user’s perspective is analyzed based on the findings of a study of the system’s usability and the perceived customer utility. Finally, the effectiveness of the system’s ability to positively affect user behavior is evaluated and discussed. The findings show that constraint-based RS not only help positively influence tourist behavior, but such systems can be built cost-effectively when using appropriate knowledge acquisition and maintenance tools.
A SURVEY OF FUZZY COGNITIVE MAP LEARNING METHODS

There are many techniques that can be used for modeling and analysis of dynamic systems. Generally speaking, they may be divided in to two groups such as quantitative and qualitative techniques [22]. The former one encompasses all quantitative methods that target both well-understood systems, (e.g., mathematical programming techniques of operation research) as well as those that ae less understood, e.g. statistically based data mining methods. The main restrictions of quantitative approaches originate from the fact that they require substantial effort and specialized knowledge from the outside of application domain in order to develop a correct model. In addition, some complex nonlinear systems cannot be modeled in this way. In a nutshell, quantitative modeling in some cases is difficult, costly, or even impossible [1]. The latter, alternative group includes qualitative approaches, which are free from the above restrictions. Modeling dynamic systems with the use of FCMs falls into this group. It is characterized by simplicity of both model representation and its execution. Furthermore, FCMs can easily incorporate human knowledge and adapt to a given domain.
A hybrid actuation scheme of trans-femoral prosthesis for motion adaptation

Conventional trans-femoral (TF) prosthesis adopts body-powered actuation manner, in which flexion and extension of knee joint rely on the movement of residual limb and body weight of amputee and is controlled by adjustable damping force output by pneumatic or hydraulic cylinder mounted on the TF prosthesis. This manner, however, suffers from the deficiency of driving torque when carrying out some special motions. On the other hand, external-powered TF prosthesis actuated mainly by eletrical motor, can obtain high performance in knee joint control, whereas high energy-consumption as well as large stiffness and inertia limite its practial applications. In our research, a hybrid actuation scheme combing magneto-rheological (MR) damper augmented with a DC motor, is proposed to improve the motion adaptation for TF prosthesis. Hybrid actuation scheme has been validated on a virtual prototype of TF prosthesis. The experimental results show the significant improvement that can be achieved with hybrid actuation over an actuation system with MR damper alone when carrying out the over-barrier task.
EEG Correlates of Ten Positive Emotions

Compared with the well documented neurophysiological findings on negative emotions, much less is known about positive emotions. In the present study, we explored the EEG correlates of ten different positive emotions (joy, gratitude, serenity, interest, hope, pride, amusement, inspiration, awe, and love). A group of 20 participants were invited to watch 30 short film clips with their EEGs simultaneously recorded. Distinct topographical patterns for different positive emotions were found for the correlation coefficients between the subjective ratings on the ten positive emotions per film clip and the corresponding EEG spectral powers in different frequency bands. Based on the similarities of the participants’ ratings on the ten positive emotions, these emotions were further clustered into three representative clusters, as ‘encouragement’ for awe, gratitude, hope, inspiration, pride, ‘playfulness’ for amusement, joy, interest, and ‘harmony’ for love, serenity. Using the EEG spectral powers as features, both the binary classification on the higher and lower ratings on these positive emotions and the binary classification between the three positive emotion clusters, achieved accuracies of approximately 80% and above. To our knowledge, our study provides the first piece of evidence on the EEG correlates of different positive emotions.
Gene expression profiling and mechanism study of neural stem cells response to surface chemistry

To declare the mechanisms of neural stem cells (NSCs) in response to material surface chemistry, NSCs were exposed to the self-assemble monolayers of alkanethiolates on gold surfaces terminated with amine (NH2), hydroxyl (OH) and methyl (CH3) for analysis. The morphological responses of NSCs were recorded; the gene expression profilings were detected by genechips; the gene expressions data of NSCs responded to different chemical groups were declared through the gene ontology term and pathway analyses. It showed that cells behaved dissimilar on the three chemical groups, the adhesion, proliferation and migration were easier on the NH2 and OH groups; the gene expressions of NSCs were induced differently, either, involved in several functional processes and signaling pathways. CH3 group induced genes enriched much in chemistry reactions and death processes, whereas many genes of cellular nucleotide metabolism were down-regulated. NH2 group induced NSCs to express many genes of receptors on membrane, and participated in cellular signal transduction of cell adhesion and interactions, or associated with axon growth. OH group was similar to NH2 group to induce the membrane response, but it also down regulated metabolism of cells. Therefore, it declared the chemical groups affected NSCs through inner way and the NH2, OH and CH3 groups triggered the cellular gene expression in different signaling pathways.
Adaptive persuasive messages in an e-commerce setting: the use of persuasion profiles

Technologies that are intentionally designed to change a person’s attitude or behaviors are emergent. Designers of these technologies frequently use implementations of influence strategies to increase the effectiveness of their systems. In this paper we argue that there are large individual differences in users responses to implementations of influence strategies, and as such persuasive technologies would benefit from adapting to these differences. We detail how designers of persuasive technologies could use persuasion profiles to adapt to differences in individual susceptibility to different influence strategies. To evaluate the notion of persuasion profiles we build an adaptive persuasive system in an ecommerce setting and test this system against a non-adaptive counterpart. We describe how — using Bayesian learning — designers can implement adaptive persuasive technologies. To our knowledge this is the first implementation and evaluation of a working persuasive system that utilizes dynamically created persuasion profiles to increase its effectiveness. We show increased revenues for the system that utilizes persuasion profiles. Finally, we discuss the limitations of the presented evaluation and give suggestions for future research efforts.
Klebsiella pneumoniae subsp. pneumoniae–bacteriophage combination from the caecal effluent of a healthy woman

A sample of caecal effluent was obtained from a female patient who had undergone a routine colonoscopic examination. Bacteria were isolated anaerobically from the sample, and screened against the remaining filtered caecal effluent in an attempt to isolate bacteriophages (phages). A lytic phage, named KLPN1, was isolated on a strain identified as Klebsiella pneumoniae subsp. pneumoniae (capsular type K2, rmpA+). This Siphoviridae phage presents a rosette-like tail tip and exhibits depolymerase activity, as demonstrated by the formation of plaque-surrounding haloes that increased in size over the course of incubation. When screened against a panel of clinical isolates of K. pneumoniae subsp. pneumoniae, phage KLPN1 was shown to infect and lyse capsular type K2 strains, though it did not exhibit depolymerase activity on such hosts. The genome of KLPN1 was determined to be 49,037 bp (50.53 %GC) in length, encompassing 73 predicted ORFs, of which 23 represented genes associated with structure, host recognition, packaging, DNA replication and cell lysis. On the basis of sequence analyses, phages KLPN1 (GenBank: KR262148) and 1513 (a member of the family Siphoviridae, GenBank: KP658157) were found to be two new members of the genus “Kp36likevirus. ”
Phrase-based clause extraction for open information extraction system

Recent development of variety and volume of information circulating in the Internet has prompted the emergence of a new paradigm in information extraction, namely the Open Information Extraction (Open IE). An evaluation of several existing Open IE systems shows a good performance on precision. However, improvement is still needed to boost the recall. A relation between entity pair in simple sentence is detected easier by the Open IE system rather than in complex sentence. In this paper, we propose a clause extraction approach employing phrase feature and requiring no learning, focusing on the entity pair. The proposed approach needs less computational cost than the previous work that employing deep parse feature or requiring learning. The experimental result shows that by extracting simpler clause, the performance of Open IE system increases. The average of best F-measure achieved in the evaluation on three benchmark datasets is 0.62, outperforms the previous work.
Optimizing power and user association for energy saving in load-coupled cooperative LTE

We consider an energy minimization problem for cooperative LTE networks. To reduce energy consumption, we investigate how to jointly optimize the transmit power and the association between cells and user equipments (UEs), by taking into consideration joint transmission (JT), one of the coordinated multipoint (CoMP) techniques. We formulate the optimization problem mathematically. For solving the problem, a dynamic power allocation algorithm that adjusts the transmit power of all cells, and an algorithm for optimizing the cell-UE association, are proposed. The two algorithms are iteratively used in an algorithmic framework to enhance the energy performance. Numerically, the proposed algorithms can lead to lower energy consumption than the optimal energy setting in the non-JT case. In comparison to fixed power allocation in JT, the proposed dynamic power allocation algorithm is able to significantly reduce the energy consumption.
Optimal controllers for hybrid systems: stability and piecewise linear explicit form

We propose a procedure for synthesizing piecewise linear optimal controllers for hybrid systems and investigate conditions for closed-loop stability. Hybrid systems are modeled in discrete-time within the mixed logical dynamical framework, or, equivalently, as piecewise affine systems. A stabilizing controller is obtained by designing a model predictive controller, which is based on the minimization of a weighted 1//spl infin/-norm of the tracking error and the input trajectories over a finite horizon. The control law is obtained by solving a mixed-integer linear program (MILP) which depends on the current state. Although efficient branch and bound algorithms exist to solve MILPs, these are known to be NP-hard problems, which may prevent their online solution if the sampling-time is too small for the available computation power. Rather than solving the MILP online, we propose a different approach where all the computation is moved off line, by solving a multiparametric MILP. As the resulting control law is piecewise affine, online computation is drastically reduced to a simple linear function evaluation. An example of piecewise linear optimal control of a heat exchange system shows the potential of the method.
Detection of Chlamydia trachomatis and Mycoplasma hominis, genitalium and Ureaplasma urealyticum by polymerase chain reaction in patients with sterile pyuria.

PURPOSE Chlamydia trachomatis and Mycoplasma hominis, Mycoplasma genitalium, and Ureaplasma urealyticum are associated with various diseases of the urogenital tract, but they are usually not detected by routine microbiological diagnosis. To determine the occurrence of Chlamydia trachomatis, Mycoplasma hominis, Mycoplasma genitalium, and Ureaplasma urealyticum in patients with sterile pyuria. MATERIAL/METHODS Sterile pyuria urine samples collected during the period from February 2006 to April 2007 were tested by polymerase chain reaction (PCR) for the presence of C. trachomatis, M. hominis, M. genitalium, and U. urealyticum using specific primers for each species. A total of 200 sterile pyuria samples selected from about 2400 urine samples attending the genitourinary clinic at Al-Shifa hospital, Gaza, during the period February 2006 to April 2007 and were analyzed for routine urine examination and cultured on MacConkey agar, blood agar, and sabouraud agar to detect the presence of bacteria and Candida. The 200 samples (96 male, 104 female; aged >or=18 years) containing more than 10 leukocytes / HPF and negative for culture (showing no significant growth after 24 hr) were tested by PCR for C. trachomatis and M. hominis, M. genitalium, and U. urealyticum. RESULTS C. trachomatis was detected in 20 samples (10%), U. urealyticum in 10 samples (5%), M. hominis in 6 samples (3%) and M. genitalium in 2 samples (1%). The difference in occurrence of C. trachomatis was statistically insignificant between males and females (P=0.509), but it was significant (P=0.008) for U. urealyticum. M. hominis was detected only in samples collected from female patients. On the other hand, M. genitalium was detected only in men. CONCLUSION PCR testing of sterile pyuria showed a significant number of C. trachomatis, Mycoplasma, and Ureaplasma infections. Consequently, PCR is recommended for the detection of those microorganisms in the urine samples of sterile pyuria patients.
Classification method of multi-class on C4.5 algorithm for fish diseases

The background of the research is to analyze data derived from an elucidation of catfish and carp diseases in Kediri, East Java, Indonesia. The research shows that data about fish's disease history have not been used effectively because it is only be collected. Data about fish's symptom history used by fish trainer only present the number of fish that get disease. Data about fish's history should be also optimized to discover the relationship among fish's disease. Thus, anticipation about disease that always attack fish could be prevented earlier. The research is done to understand the relationship history among fish's disease. Then the accuracy of relationship quality is measured to acquire the quality of data properly so it can be worked to identify fish's disease. Data relationship quality among fish's disease symptoms should be understood to know how is the accuracy of datum classification obtained. A proper method is required to extract information from data obtained. There are many data-mining classification algorithms such as CART, CHAID, Rain Forest, and C4.5. But, the C4.5 algorithm is appropriate for this research used to form decision tree for data quality assessed from accurate performance of some multi-class fish diseases. This research uses 1120 data involving six diseases. The data were obtained from Agriculture Board (fishery subdivision) of Kediri Regency. The result shows that C4.5 algorithm is well to do for both a low and high accuracy class at 55.3 and 88.4 percent.
Limit Order Markets and Microstructure Noise

We numerically solve a model with endogenous information acquisition in a limit order market. The asset has a common value; in addition, each trader has a private value for it. Traders randomly arrive at the market, after choosing whether to purchase information about the common value. They may either post prices or accept posted prices. If a trader’s order has not executed, he randomly reenters the market, and may change his previous order. The model is thus a dynamic stochastic game with asymmetric information. Agents with no intrinsic benefit from trade have the highest value for information and also tend to supply liquidity. Agents’ incentives to acquire information and their subsequent equilibrium trading behavior changes systematically with the underlying volatility of the asset. In equilibrium, asymmetric information creates a “volatility multiplier”: prices are more volatile than the fundamental value of the asset. This eect increases when the fundamental volatility of the asset is higher, due to a change in the composition of trader types in the market at a given time. Further, changes in the microstructure noise (i.e., the dierence between the transaction price and the fundamental value) are negatively correlated with changes in the fundamental value itself. This implies that asset betas estimated from high-frequency data will be incorrect. Thus, microstructure noise and other variables correlated with it may spuriously appear to explain cross-sectional asset prices. Finally, we show that the microstructure noise itself has positive autocorrelation.
Multi-step Redox Systems with NIR-Fluorescence Based on 4H-Imidazoles

A new class of 4H-imidazoles was synthesized starting from fused-ring aromatic dinitriles. Strong bathochromic shifts of the longest wavelength absorptions were observed in the corresponding UV/vis spectra due to a conversion of the merocyanine chromophores into cyanines/(aza)oxonoles upon protonation/deprotonation of the 4H-imidazoles. Novel boratetraazapentalenes were synthesized via a cyclization reaction with boron trifluoride. These mesoionic species bearing a cyanine chromophore not only show NIR-fluorescence, they also participate as part of a quasi-reversible multi-step redox system. Large calculated semiquinone formation constants KSEM (3x1010 to 5x1011) indicate a high thermodynamic stability of the corresponding radical anions (SEM).
The End of the Virtual

The End of the Virtual Digital methods may be contrasted with what has come to be known as virtual methods, a currently dominant approach to the study of the Internet. Virtual methods, rooted in the U.K. Virtual Society? program (1997-2002), sought to ground cyberspace by demonstrating how it was hardly a realm apart. Whereas virtual methods have made great strides, they rely on methods imported from the humanities and the social sciences. Do the methods have to change, owing to the specificity of the medium and its objects? With the end of the virtual, Richard Rogers proposes that Internet research may be put to new uses, given an emphasis on natively digital as opposed to digitized methods. How to capture and analyze hyperlinks, tags, search engine results, archived websites, and other digital objects? What may one learn from how online devices make use of the objects, and how may such uses be repurposed for social and cultural research? Ultimately, Rogers proposes a research practice that grounds claims about cultural change and societal conditions in online dynamics.