Miracle-dz/UniFAR-FTUs huggingface dataset:
Ordered nanostructures written directly by laser interference

We present a simplified method to employ laser interference lithography for the fabrication of ordered nanostructures. Neither resist, nor an elaborate fabrication process was needed. Four-beam interference patterns generated in this work included periodic arrays of holes in GaAs, covered with SiO2 bubbles, and they were directly written into the sample. The diameters of the smallest holes were less than 30 nm. We propose a model to interpret the results.
Organizing activity of Fgf8 on the anterior telencephalon

The anterior part of the embryonic telencephalon gives rise to several brain regions that are important for animal behavior, including the frontal cortex (FC) and the olfactory bulb. The FC plays an important role in decision‐making behaviors, such as social and cognitive behavior, and the olfactory bulb is involved in olfaction. Here, we show the organizing activity of fibroblast growth factor 8 (Fgf8) in the regionalization of the anterior telencephalon, specifically the FC and the olfactory bulb. Misexpression of Fgf8 in the most anterior part of the mouse telencephalon at embryonic day 11.5 (E11.5) by ex utero electroporation resulted in a lateral shift of dorsal FC subdivision markers and a lateral expansion of the dorsomedial part of the FC, the future anterior cingulate and prelimbic cortex. Fgf8‐transfected brains had lacked ventral FC, including the future orbital cortex, which was replaced by the expanded olfactory bulb. The olfactory region occupied a larger area of the FC when transfection efficiency of Fgf8 was higher. These results suggest that Fgf8 regulates the proportions of the FC and olfactory bulb in the anterior telencephalon and has a medializing effect on the formation of FC subdivisions.
Design, Synthesis, and Cytotoxicity Evaluation of Novel Griseofulvin Analogues with Improved Water Solubility

Griseofulvin 1 is an important antifungal agent that has recently received attention due to its antiproliferative activity in mammalian cancer cells. Study of SAR of some griseofulvin analogues has led to the identification of 2′-benzyloxy griseofulvin 3, a more potent analogue which retards tumor growth through inhibition of centrosomal clustering. However, similar to griseofulvin 1, compound 3 exhibited poor aqueous solubility. In order to improve the poor water solubility, six new griseofulvin analogues 5–10 were synthesized and tested for their antiproliferative activity and water solubility. The semicarbazone 9 and aminoguanidine 10 analogues were the most potent against HCT116 and MCF-7 cell lines. In combination studies, compound 9 was found to exert synergistic effects with tamoxifen and 5-fluorouracil against MCF-7 and HCT116 cells proliferation, respectively. The flow cytometric analysis of effect of 9 on cell cycle progression revealed G2/M arrest in HCT116. In addition, compound 9 induced apoptosis in MCF-7 cells. Finally, all synthesized analogues revealed higher water solubility than griseofulvin 1 and benzyloxy analogue 3 in pH 1.2 and 6.8 buffer solutions.
Open-end human–robot interaction from the dynamical systems perspective: mutual adaptation and incremental learning

In this paper, we experimentally investigated the open-end interaction generated by the mutual adaptation between humans and robot. Its essential characteristic, incremental learning, is examined using the dynamical systems approach. Our research concentrated on the navigation system of a specially developed humanoid robot called Robovie and seven human subjects whose eyes were covered, making them dependent on the robot for directions. We used the usual feed-forward neural network (FFNN) without recursive connections and the recurrent neural network (RNN) for the robot control. Although the performances obtained with both the RNN and the FFNN improved in the early stages of learning, as the subject changed the operation by learning on its own, all performances gradually became unstable and failed. Next, we used a 'consolidation-learning algorithm' as a model of the hippocampus in the brain. In this method, the RNN was trained by both new data and the rehearsal outputs of the RNN not to damage the contents of current memory. The proposed method enabled the robot to improve performance even when learning continued for a long time (open-end). The dynamical systems analysis of RNNs supports these differences and also showed that the collaboration scheme was developed dynamically along with succeeding phase transitions.
Super-resolution of pulsed multipath channels for delay spread characterization

For frequency selective channels, the delay spread is one measure for the channel distortion. This channel characterization is possible by either a CW frequency sweep, which gives directly the transfer function, or by sounding the channel with pulses which results in the impulse response. When the sounding pulse becomes a chirp-type waveform, the two approaches are distinguished more by implementation rather than by concept. Simple rectangular pulses can be used for partial, but usually sufficient, channel characterization. In this paper, the process is described for resolving impulse response components into bins smaller than the duration of the sounding pulse and smaller than the reciprocal of the channel bandwidth. From such "super-resolution", the delay spread can be established accurately even when it is much less than the sounding pulse duration, allowing longer, higher-energy pulses to be used for channel characterization. The process is demonstrated by generating the super-resolved real-only impulse responses from the real-only responses of an experimental multipath channel. Two algorithms are presented and compared, These are subtractive deconvolution where a loop gain of unity is shown to be stable; and a modified inverse filter technique, in which the modification caters for the spectral zeros of the sounding pulse. The experiments demonstrate explicitly how receiving antennas can be used to control the amount of multipath channel degradation.
DAF-16 Target Genes That Control C. elegans Life-Span and Metabolism

Signaling from the DAF-2/insulin receptor to the DAF-16/FOXO transcription factor controls longevity, metabolism, and development in disparate phyla. To identify genes that mediate the conserved biological outputs of daf-2/insulin-like signaling, we usedcomparative genomics to identify 17 orthologous genes from Caenorhabditis and Drosophila, each of which bears a DAF-16 binding site in the promoter region. One-third of these DAF-16 downstream candidate genes were regulatedby daf-2/insulin-like signaling in C. elegans, and RNA interference inactivation of the candidates showed that many of these genes mediate distinct aspects of daf-16 function, including longevity, metabolism, anddevelopment.
IJCNLP-2017 Task 3: Review Opinion Diversification (RevOpiD-2017)

Unlike Entity Disambiguation in web search results, Opinion Disambiguation is a relatively unexplored topic. RevOpiD shared task at IJCNLP-2107 aimed to attract attention towards this research problem. In this paper, we summarize the first run of this task and introduce a new dataset that we have annotated for the purpose of evaluating Opinion Mining, Summarization and Disambiguation methods.
Evidential Network for Target Identification ⋆

This paper proposes a model of evidential network based on Hybrid Dezert-Smarandache theory (DSmH) to improve target identification of multi-sensors. In the classification simulation, we compared the results obtained at the Target Type node and Foe-Ally node in evidential network by using DempsterShafer theory (DS) and using DSmH. The comparisons show that, when we use DSmH in the evidential network, we can assign more Basic Belief Assignments (BBA) to the focal element the target belongs to. Experiments confirm that the model of evidential network using DSmH is better than the one using DS.
A Novel Miniature Band-Notched Wing-Shaped Monopole Ultrawideband Antenna

A small band-notched monopole ultrawideband (UWB) antenna is proposed in this letter. In this antenna, the band-reject is achieved by attaching a strip to the hollow center of a wing-shaped monopole. The height and width of the strip are dependent on the center frequency of the notch band. The proposed antenna is printed on a very small (11<formula formulatype="inline"> <tex Notation="TeX">$\,\times\,$</tex></formula>15 mm<formula formulatype="inline"> <tex Notation="TeX">$^2$</tex></formula>) substrate. The measured results reveal that the proposed antenna offers a wide bandwidth covering 5–15 GHz with a notched band covering a 6.7–7.1-GHz IEEE INSAT/super-extended C-band frequency. The proposed antenna shows very narrow and accurate band rejection.
A single immunization with a minute dose of a lentiviral vector‐based vaccine is highly effective at eliciting protective humoral immunity against West Nile virus

Lentiviral vectors, due to their capacity to transduce non‐dividing cells, have become precious and worldwide used gene transfer systems. Their ability to efficiently and stably transduce dendritic cells (DCs) has led to their successful use as vaccination vectors for eliciting strong, specific and protective cellular immune responses mostly in anti‐tumoral but also in anti‐viral applications. However, the ability of lentiviral vectors to elicit an antibody‐based protective immunity has, to date, not been evaluated. In the present study, we evaluated the potential of a lentiviral vector‐based vaccine to elicit humoral immunity against West Nile virus (WNV). WNV is a mosquito‐borne flavivirus that emerged in North America and causes encephalitis in humans, birds and horses. Neutralizing anti‐WNV antibodies have been shown to be crucial for protection against WNV encephalitis.
Multiuser MIMO Scheme for Enhanced 3GPP HSDPA

We compare the achievable throughput of space-time multiple access (STMA) scheme versus that of time division multiple access multiple-input multipleoutput (TDMA-MIMO) schemes, illustrated in the third generation partnership project (3GPP) MIMO technical report (TR). These schemes have been proposed to improve 3GPP high speed downlink packet access (HSDPA) channel by employing multiple antennas at both the transmitter and receiver. Our comparisons are focused on the performance in a multiuser environment, which is recently considered using the multiuser scheduling based on TDMA in both the single-input single-output (SISO) and the MIMO schemes for HSDPA. Motivated by those observations, we propose the hybrid STMA (H-STMA) scheme, in which the multiuser scheduling is operated in TDMA or STMA mode depending on the number of loaded users in the system. H-STMA is shown to outperform both TDMA-MIMO and STMA under HSDPA channel parameters. Moreover, we find that it has two practical advantages: the significant reduction of the receiver complexity and the required feedback amount.
Rigid vs. flapping: The effects of kinematic formulations in force determination of a free flying Flapping Wing Micro Air Vehicle

Several studies have focused on deriving kinematic formulations of simulated flapping wing micro air vehicles (FWMAV). However, very few used real-life flight data and none have compared the predicted aerodynamic forces and moments across different kinematic formulation principles. Hence, the present study compares and assesses the quality of simple equations of motion against complex multi-body formulations using real flight data. In particular, the position and attitude of an autonomous flying FWMAV was logged by an external high resolution visual tracking system. States were reconstructed using flight path reconstruction techniques and were used as inputs for the determination of the aerodynamic forces and moments that acted on the FWMAV. Two kinematic models of a 4 wing FWMAV were derived and used to compute the aerodynamic forces and moments: 1) simple Newton-Euler formulation of rigid aircraft equations of motion; 2) complex 5 body kinematic model using D'Alembert's principle. The results are presented for trimmed flight, as well as for system identification maneuvers characterized by doublet inputs on the rudder and elevator. These results show the difference between both formulations and indicate that rigid body kinematic forms can be used for FWMAV aerodynamic system identification, with the advantageous use in control design of iterative versions of ornithopters, showing an average correlation of 0.98 (out of 1) with more complex formulations. Multi-body kinematics, on the other hand, despite more time-expensive to derive, capture more contributions of the different FWMAV structures as well as the internal forces and moments (like driving motor torque), thus being more suitable for simulation and robust control of complex ornithopters.
New methods to suppress EMI noises in motor drive systems

New methods are studied that can suppress EMI noises, especially the common-mode current produced in motor drive systems. One is a packaging technique that forms power converters using a four-layer printed power circuit board. The other is a method based on the generation mechanism of the common-mode current which was developed from experimental analyses. It is proved by experiments that the former can effectively control the common-mode current, including radiated emissions, and the latter can suppress it without any compensators between the inverter and the motor.
Thin-film transistors on a-Si:H

A comparison has been made of the characteristics of nitride and oxide MOSFET's fabricated with thin films of amorphous silicon. Published data indicate that Si3N4-Si:H thin film devices are superior to the oxide devices. Accumulation-mode MOSFET's were fabricated in which the drain current arises from electric-field induced accumulation of electrons (majority carriers) at the a-Si:H-insulator interface. Hydrogenated amorphous silicon layers were deposited at 230°C by glow-discharge plasma decomposition in silane. The deposition conditions were found to be critical, and in the present study the films were grown on an electrically grounded substrate with RF power of 1 W applied to the counter electrode. The a-Si:H was deposited onto silicon nitride and silicon dioxide layers of 100-500-nm thickness, and thin-film transistors were fabricated with the inverted MOS configuration. Devices were tested with on/off drain current ratios greater than 104for a gate voltage swing of 0 to 12 V and drain-current saturation for source-drain voltages of less than 12 V. The properties of MOSFET's on a-Si:H are discussed with a comparison of the silicon-nitride-a-Si: H and silicon-dioxide-a-Si:H interfaces and an evaluation of doped active layers. The transistors on silicon dioxide are as good as any reported to date on silicon nitride.
A prospective study of body size during childhood and early adulthood and the incidence of endometriosis.

BACKGROUND An inverse association between adult body mass index (BMI) and risk of endometriosis has frequently been reported. However, the association between body size during childhood and early adulthood and endometriosis is not as well documented. METHODS Using data collected from the Nurses' Health Study II, a prospective cohort study of premenopausal US nurses, that began in 1989, we have attempted to clarify this relationship. Data are updated every 2 years with follow-up for these analyses through 2001. In 1989 women recalled their body size at ages 5, 10 and 20 years using a validated 9-level figure drawing. RESULTS During 831 910 person-years of follow-up, 1817 cases of self-reported laparoscopically-confirmed endometriosis were observed among women with no past infertility. After adjusting for age, birthweight, age at menarche, parity, oral contraceptive use and adult BMI, we observed a significant reduction in the incidence of endometriosis with increasing body size for all time periods. The relative risks (RRs) comparing the smallest and largest figure sizes to the middle category during childhood (ages 5-10) were 1.18 (95% confidence interval 1.02-1.36) and 0.82 (0.66-1.02), P-trend = 0.0002. At age 20, the RRs for the same comparisons were 1.32 (1.06-1.65) and 0.87 (0.74-1.03), P-trend = 0.04. Additional adjustment by menstrual cycle length and regularity yielded similar associations. The associations were stronger among nulliparous women than among parous women, although not all differences were statistically significant. CONCLUSION In this large cohort of premenopausal women, there was evidence of a persistent inverse association between childhood and early adulthood body size and incidence of laparoscopically confirmed endometriosis, independent of adult BMI and menstrual cycle characteristics.
A Mechanism for Early Detecting DDOS Attacks Based on M/G/R PS Queue

When service system is under DDoS attacks, it is important to detect anomaly signature at starting time of attack for timely applying prevention solutions. However, early DDoS detection is difficult task because the velocity of DDoS attacks is very high. This paper proposes a DDoS attack detection method by modeling service system as M/G/R PS queue and calculating monitoring parameters based on the model in odder to early detect symptom of DDoS attacks. The proposed method is validated by experimental system and it gives good results.
The impact of electronically-enabled supply chains on channel relationships and firm performance

IV TABLE OF CONTENTS VI LIST OF TABLES X LIST OF FIGURES XII CHAPTER 1: INTRODUCTION 1 1.1 BACKGROUND OF THE STUDY 1 1.2 WHAT IS SUPPLY CHAIN MANAGEMENT? 4 1.2. 1 Definition of supply chain (SC) 4 1.2. 2 Definition of supply chain management (SCM) 5 1.3 THE ORGANISATIONAL SCOPE OF SCM 7 1.4 SIGNIFICANCE OF THE STUDY 10 1.5 RESEARCH OBJECTIVES 12 1.6 RESEARCH QUESTIONS AND HYPOTHESES 13 1.7 OVERVIEW OF RESEARCH METHODOLOGY 14 1.8 OUTLINE OF REMAINING CHAPTERS 14 1.9 SUMMARY 17 CHAPTER 2: LITERATURE REVIEW – CHANNEL RELATIONSHIPS AND INFORMATION TECHNOLOGY 18 2.
DYNAMICS OF PLATFORM-BASED NETWORKS DURING ARCHITECTURAL SHIFTS IN VIDEO GAMES: THEORY AND EVIDENCE

We studied the evolution of the platform-complementor network in the PC and home video game consoles as video games transitioned from the sixth to the seventh generation. We specifically sought to understand how the network positions of third-party developers combined with relative platform technology differences influenced launches of videogames that play critical roles in the acceptance of game platforms. We found that developers that were more embedded or locked in to single platform technologies were unable to leverage their existing knowledge and routines in new platform settings and hence, were less likely to port or re-launch their existing game titles. Further, developers were more likely to port titles to platforms that were architecturally similar to their previously supported platforms. As platform architectures converged, they afforded even previously embedded developers an opportunity to migrate and support disparate platforms. Theoretical and empirical insights of this study contribute to our understanding of how platform providers and third-party developers respond effectively to architectural shifts that drive convergence. Specifically, as platform firms increasingly deal with architectural shifts, their ability to translate their core platform architectures and standards to new platform settings to leverage their ecosystem of complementors becomes more critical than ever
Amino Acid Availability Modulates Vacuolar H+-ATPase Assembly*

Background: Reversible assembly is a major mode of V-ATPase regulation. Results: Amino acid starvation reversibly increases V-ATPase assembly. Conclusion: Amino acids are a novel regulator of V-ATPase assembly. Significance: Learning how amino acids are sensed and influence cellular physiology is important to understanding the basic processes of cellular homeostasis. The vacuolar H+-ATPase (V-ATPase) is an ATP-dependent proton pump composed of a peripheral ATPase domain (V1) and a membrane-integral proton-translocating domain (V0) and is involved in many normal and disease processes. An important mechanism of regulating V-ATPase activity is reversible assembly of the V1 and V0 domains. Increased assembly in mammalian cells occurs under various conditions and has been shown to involve PI3K. The V-ATPase is necessary for amino acid-induced activation of mechanistic target of rapamycin complex 1 (mTORC1), which is important in controlling cell growth in response to nutrient availability and growth signals. The V-ATPase undergoes amino acid-dependent interactions with the Ragulator complex, which is involved in recruitment of mTORC1 to the lysosomal membrane during amino acid sensing. We hypothesized that changes in the V-ATPase/Ragulator interaction might involve amino acid-dependent changes in V-ATPase assembly. To test this, we measured V-ATPase assembly by cell fractionation in HEK293T cells treated with and without amino acids. V-ATPase assembly increases upon amino acid starvation, and this effect is reversed upon readdition of amino acids. Lysosomes from amino acid-starved cells possess greater V-ATPase-dependent proton transport, indicating that assembled pumps are catalytically active. Amino acid-dependent changes in both V-ATPase assembly and activity are independent of PI3K and mTORC1 activity, indicating the involvement of signaling pathways distinct from those implicated previously in controlling assembly. By contrast, lysosomal neutralization blocks the amino acid-dependent change in assembly and reactivation of mTORC1 after amino acid starvation. These results identify an important new stimulus for controlling V-ATPase assembly.
Preparation of Improved Turkish DataSet for Sentiment Analysis in Social Media

A public dataset, with a variety of properties suitable for sentiment analysis [1], event prediction, trend detection and other text mining applications, is needed in order to be able to successfully perform analysis studies. The vast majority of data on social media is text-based and it is not possible to directly apply machine learning processes into these raw data, since several different processes are required to prepare the data before the implementation of the algorithms. For example, different misspellings of same word enlarge the word vector space unnecessarily, thereby it leads to reduce the success of the algorithm and increase the computational power requirement. This paper presents an improved Turkish dataset with an effective spelling correction algorithm based on Hadoop [2]. The collected data is recorded on the Hadoop Distributed File System and the text based data is processed by MapReduce programming model. This method is suitable for the storage and processing of large sized text based social media data. In this study, movie reviews have been automatically recorded with Apache ManifoldCF (MCF) [3] and data clusters have been created. Various methods compared such as Levenshtein and Fuzzy String Matching have been proposed to create a public dataset from collected data. Experimental results show that the proposed algorithm, which can be used as an open source dataset in sentiment analysis studies, have been performed successfully to the detection and correction of spelling errors.