Miracle-dz/UniFAR-FTUs huggingface dataset:
She3p Binds to the Rod of Yeast Myosin V and Prevents It from Dimerizing, Forming a Single-headed Motor Complex*

Vertebrate myosin Va is a dimeric processive motor that walks on actin filaments to deliver cargo. In contrast, the two class V myosins in budding yeast, Myo2p and Myo4p, are non-processive (Reck-Peterson, S. L., Tyska, M. J., Novick, P. J., and Mooseker, M. S. (2001) J. Cell Biol. 153, 1121–1126). We previously showed that a chimera with the motor domain of Myo4p on the backbone of vertebrate myosin Va was processive, demonstrating that the Myo4p motor domain has a high duty ratio. Here we examine the properties of a chimera containing the rod and globular tail of Myo4p joined to the motor domain and neck of mouse myosin Va. Surprisingly, the adaptor protein She3p binds to the rod region of Myo4p and forms a homogeneous single-headed myosin-She3p complex, based on sedimentation equilibrium and velocity data. We propose that She3p forms a heterocoiled-coil with Myo4p and is a subunit of the motor. She3p does not affect the maximal actin-activated ATPase in solution or the velocity of movement in an ensemble in vitro motility assay. At the single molecule level, the monomeric myosin-She3p complex showed no processivity. When this construct was dimerized with a leucine zipper, short processive runs were obtained. Robust continuous movement was observed when multiple monomeric myosin-She3p motors were bound to a quantum dot “cargo. ” We propose that continuous transport of mRNA by Myo4p-She3p in yeast is accomplished either by multiple high duty cycle monomers or by molecules that may be dimerized by She2p, the homodimeric downstream binding partner of She3p.
Ferroelectric Field Effect Transistors Based on PZT and IGZO

Ferroelectric field effect transistors (FeFETs) based on lead zirconate titanate (PZT) ferroelectric material and amorphous-indium-gallium-zinc oxide (a-IGZO) were developed and characterized. The PZT material was processed by a sol-gel method and then used as ferroelectric gate. The a-IGZO thin films, having the role of channel semiconductor, were deposited by radio-frequency magnetron sputtering, at a temperature of ~50°C. Characteristics of a typical field effect transistor with SiO2 gate insulator, grown on highly doped silicon, and of the PZT-based FeFET were compared. It was proven that the FeFETs had promising performances in terms of Ion/Ioff ratio (i.e., 106) and IDS retention behavior.
Improving Answer Extraction For Bangali Q/A System Using Anaphora-Cataphora Resolution

Human Computer Interaction (HCI) is a field of study to interact between humans (user) and computers on the design of computer technology. Question Answering (QA) system is one of the parts of HCI and a process of Information Retrieval (IR) in Natural Language Processing (NLP). In this research, it is attempted for a Bangla Question Answering System with simple sentences and experimented the system for both Bangla and English language. And it is tried to perform with semantic and syntactical analysis. Furthermore, for Bangla, a word net is constructed to demonstrate the system process. Our proposed method is a model in which it is easy for users to get most possible exact answer to their question easily and reduces the complexity of using noun instead of pronoun for the requested answer with respect to the given question queries for Bangla. It improves better answer extraction than naive approach.
Role of Process Automation in Quality Management of Enterprises in Perfumery and Cosmetic Industry

Perfumes and cosmetics goods are very important in human life, therefore, the enterprises of this industry pay with attention to the quality management process. Perfumes and cosmetics companies try to automate the processes (manufacture processes and management processes) due to the need to make decent competition in the current market conditions and to provide high quality goods. Automation not offers manufacture and management processes only, but quality management processes also. Quality management processes basically use statistical analysis methods. In this work emphasized the relevance of the automation of quality management processes, especially the automation of statistical data processing. This work has generally review character, but even with this approach it is impossible to compile all the knowledge about the use of AI for automation of management and manufacture processes.
Field Emission from Horizontally Aligned Carbon Nanotubes Deposited on Si Pillars

Carbon nanotubes are considered as one of the best candidates to be used as an emission layer in various applications. There are some drawbacks, which limit the wide use of CNT as field emitters. Mainly, it is a non-uniformity of the tips and degradation of emission current due to the nanotubes burning. In this work, we show the simple and cheap method of highly effective CNT cathodes fabrication. Single-walled CNT are located horizontally on the Si pillars made by Bosch process and demonstrate low field emission (emission starts at 100 V with an anode-cathode distance of 3 µm) and sufficient current densities as large as 8.5 A/cm2 at 200 V bias (2000 µm2 emitting area). Additionally, the comparison with vertically aligned the CNT cathodes is shown.
Graph-based Clustering for Multi-objective Evolutionary Algorithm

Multi-objective optimization is a challenging task in artificial intelligence and optimization field, as it deals with multiple conflicting objectives to be optimized. This paper suggests an approach for decomposing a multi-objective optimization problem (MOP) into a number of simple multi-objective optimization sub-problems. The proposed method takes the advantage of nearest neighbor algorithm. it first maps the evolutionary population to a kNN graph then using the local traits of population it divides them into a set of smaller fixed size clusters. These clusters become sub-problems. With the use of these sub-problems it solves MOPs in a collaborative way. Each sub-population is a cluster that receives computational effort separately. Experiments have been conducted to compare the proposed method with state-of-the-art multi-objective evolutionary algorithms, results show the effectiveness and superiority of the proposed method compared to the other ones.
Optimal Direct Yaw Control for Sport Utility Vehicle Using PSO

Nowadays the Sport Utility Vehicle (SUV) become more popular than sedan car around the world even in Malaysia. But, these types of vehicles have weaknesses such as higher center of gravity, heavier, side area and wheel base are larger than sedan car that lead to unstable vehicle handling during critical maneuver. Numerous researchers have proposed their control strategy in order to overcome this problem. However, there are less studies about the Linear Quadratic Integral (LQI) controller especially in the Direct Yaw Control (DYC) system. Therefore, in this paper, the development of the LQI controllers implemented in the DYC is researched and compared with Linear Quadratic Regulator (LQR) and Proportional-Integral-Derivative (PID) controller for the performances evaluation. Each controller optimized using Particle Swarm Optimization (PSO) algorithm and tested on lane change maneuver with interference of external disturbance and different road condition. With the help of PSO algorithm, the LQI controllers not only produce significant improvement in the lane change maneuver but the controller is more precise, faster tuning gains, robust against external disturbance and capable to endurance the maneuver with lower Root Mean Square Error (RMSE) compare with two other controllers.
Trusted Throughput-Efficient Spectrum Sensing Against Intelligent Malicious Behaviors in Cognitive Radio Networks

In this paper, a new model for a smart primary user emulation attacker is proposed and spectrum sensing in the presence of such an attacker, is studied. Markov chain is used to model the primary user and smart attacker activities, simultaneously. Then, we derive closed form expressions for the average probability of detection and false alarm and from there, the effect of the primary user and attacker traffic on a secondary user’s throughput is investigated. In addition, launching attacker in the conventional and proposed smart attacking procedures are compared. The numerical results show in the smart attacking, the deterioration in throughput of the secondary user’s network is considerable and under proper selection of the attacker’s traffic parameters, it may tend toward zero. To combat the harmful impact of smart attacker, we derive a test rule based on the generalized likelihood ratio test to detect the legitimate from smart illegitimate user. Finally, the accuracy of the obtained results are analyzed and verified by simulation results.
Noise Suppression with Apparent Gain Threshold for Cochlear Implants: A Vocoder Simulated Verification

Noise suppression techniques with low computational complexity and fast parameter tuning procedure are very important for the clinical implementation of cochlear implants (CI) and the postoperative rehabilitation of CI recipients. This study presents an improved noise suppression algorithm based on Mauger's work on perceptually optimized gain function for CI. The relation between the perceptually optimal Wiener parameters and a metric named apparent gain threshold (aGT) is first disclosed by CI vocoded speech perception experiments. Then a gain function based on the aGT is proposed for Wiener filtering. Instead of joint searching for the two parameters (i.e., $\alpha$ and $\boldsymbol{\beta}$) as in Mauger's work, the proposed one requires only searching for the optimal aGT parameter and, as a result, user-dependent optimal parameter tuning could be much more efficient for CI recipients. Speech perception experiments with vocoder simulations in normal-hearing listeners are conducted to evaluate the effectiveness of the proposed method and positive results are obtained, which implies its promising implementation in clinical CI devices.
Membrane Topology and Essential Amino Acid Residues of Phs1, a 3-Hydroxyacyl-CoA Dehydratase Involved in Very Long-chain Fatty Acid Elongation*

Yeast Phs1 is the 3-hydroxyacyl-CoA dehydratase that catalyzes the third reaction of the four-step cycle in the elongation of very long-chain fatty acids (VLCFAs). In yeast, the hydrophobic backbone of sphingolipids, ceramide, consists of a long-chain base and an amide-linked C26 VLCFA. Therefore, defects in VLCFA synthesis would be expected to greatly affect sphingolipid synthesis. In fact, in this study we found that reduced Phs1 levels result in significant impairment of the conversion of ceramide to inositol phosphorylceramide. Phs1 proteins are conserved among eukaryotes, constituting a novel protein family. Phs1 family members exhibit no sequence similarity to other dehydratase families, so their active site sequence and catalytic mechanism have been completely unknown. Here, by mutating 22 residues conserved among Phs1 family members, we identified six amino acid residues important in Phs1 function, two of which (Tyr-149 and Glu-156) are indispensable. We also examined the membrane topology of Phs1 using an N-glycosylation reporter assay. Our results suggest that Phs1 is a membrane-spanning protein that traverses the membrane six times and has an N terminus and C terminus facing the cytosol. The important amino acids are concentrated in or near two of the six proposed transmembrane regions. Thus, we also propose a catalytic mechanism for Phs1 that is not unlike mechanisms used by other hydratases active in lipid synthesis.
Chatting Application Monitoring on Android System and its Detection based on the Correlation Test

Mobile phones are playing an important roles in our modern digital society, which have already replaced the traditional computer in many situations. Nevertheless, the number of malicious software also starts to grow and showed significant impact on our legal use. Among several mobile systems, the Android platform is currently the most widely used and open system, which also makes it a very attractive target for the malicious applications. User privacy is of great interest to many different agents, which becomes of the most valuable target for the malware, and the chatting software naturally become one of the richest information resource target. In this paper, we first investigate the core techniques that are used by the most monitoring softwares. Then we propose several correlation experiments to efficiently detect the those softwares. We developed a monitoring prototype as well as the detecting system, including the mobile phone side and the remote web server side, to simulate the scenario in the real-world environment. The experiment confirmed the efficiency of our approach.
A dual functional origin of transfer in the ICEclc genomic island of Pseudomonas knackmussii B13

Genomic islands (GEIs) are large DNA segments, present in most bacterial genomes, that are most likely acquired via horizontal gene transfer. Here, we study the self‐transfer system of the integrative and conjugative element ICEclc of Pseudomonas knackmussii B13, which stands model for a larger group of ICE/GEI with syntenic core gene organization. Functional screening revealed that unlike conjugative plasmids and other ICEs ICEclc carries two separate origins of transfer, with different sequence context but containing a similar repeat motif. Conjugation experiments with GFP‐labelled ICEclc variants showed that both oriTs are used for transfer and with indistinguishable efficiencies, but that having two oriTs results in an estimated fourfold increase of ICEclc transfer rates in a population compared with having a single oriT. A gene for a relaxase essential for ICEclc transfer was also identified, but in vivo strand exchange assays suggested that the relaxase processes both oriTs in a different manner. This unique dual origin of transfer system might have provided an evolutionary advantage for distribution of ICE, a hypothesis that is supported by the fact that both oriT regions are conserved in several GEIs related to ICEclc.
Protection Against High-Energy Breakdowns in Neutral Beam Systems for Future Fusion Reactors

In this paper, the capacitances of the two-stage bushing that is installed in the 1-MV test bed for neutral beam injectors in the future fusion reactors are calculated by modeling the bushing in a 3-D electrostatic code. One of the modeling results is the stored energy in the bushing, which corresponds to 1/2 CV2. After evaluating the bushing capacitance, a MATLAB/Simulink model is presented to model the possible breakdown in the bushing and between the electrodes in the 1-MV test bed. When a breakdown occurs between anode and cathode, an overcurrent is drawing that can cause damage in the electrode surfaces while an overvoltage takes place when the breakdown happens between the bushing stages. Such damage has been observed experimentally in the past. This paper also presents some of the possible protection against the breakdown in the 1-MV test bed to dissipate the stored energy in order to protect the electrode surfaces and the bushing. The suggested protections presented in this paper are damping resistors, surge arrester individually, and both of them. Also, a coil can be added to the DR either in series or in parallel.
Methodology for Multipath-Component Tracking in Millimeter-Wave Channel Modeling

We describe an extensive channel-measurement campaign, including 325 unique transmitter–receiver configurations, conducted in a lecture room with our 3-D double-directional 60 GHz channel sounder. The receiver was mounted on a mobile robot, with 40 cm spacing between channel acquisitions, enabling the tracking of clustered multipath components in the multidimensional delay-angle space. To mitigate against angle-estimation error and multipath blockage, we introduce a robust tracking algorithm based on the Assignment Problem. For the purpose of validation, the clusters were transformed from the delay-angle space onto a 2-D map of the environment and compared against the locations of cluster-generating reflectors, such as walls and tables. The location errors were typically within 30–50 cm. The clusters identified were then reduced to a stochastic map-based channel model, including reflection loss and dispersion characteristics such as the Ricean K-factor and angular spread. Given the 0.5 ns delay resolution of the channel sounder and angle-estimation error around 2°, the parameters were reported with high fidelity.
Maturity Models of Quality Management System in High-Tech Industry: a Systematic Literature Review

The article discuss issues related with the maturity models of quality management system (QMS) in high-tech industry. The purpose of this paper is to give an insight into methodological issues related with maturity models in QMS domain and to identify the opportunities for future research. A systematic review of literature is chosen as the most efficient and comprehensive approach to explore and synthesize the information about maturity models. Article contain the main steps and key issues from conducted systematic review.
Discretely calibrated regulatory loops controlled by ppGpp partition gene induction across the ‘feast to famine’ gradient in Escherichia coli

Bacteria comprehensively reorganize their global gene expression when faced with starvation. The alarmone ppGpp facilitates this massive response by co‐ordinating the downregulation of genes of the translation apparatus, and the induction of biosynthetic genes and the general stress response. Such a large reorientation requires the activities of multiple regulators, yet the regulatory network downstream of ppGpp remains poorly defined. Transcription profiling during isoleucine depletion, which leads to gradual starvation (over > 100 min), allowed us to identify genes that required ppGpp, Lrp and RpoS for their induction and to deduce the regulon response times. Although the Lrp and RpoS regulons required ppGpp for their activation, they were not induced simultaneously. The data suggest that metabolic genes, i.e. those of the Lrp regulon, require only a low level of ppGpp for their induction. In contrast, the RpoS regulon was induced only when high levels of ppGpp accumulated. We tested several predictions of a model that explains how bacteria allocate transcriptional resources between metabolism and stress response by discretely tuning two regulatory circuits to different levels of ppGpp. The emergent regulatory structure insures that stress survival circuits are only triggered if homeostatic metabolic networks fail to compensate for environmental deficiencies.
Charge Pumping of Low-Voltage Silicon Trench Powers MOSFETs

Interface- and border-traps at the Si-SiO2 interface are investigated in trench power MOSFETs. We show that the popular charge pumping method is not limited to conventional lateral devices but can also be applied to these more complex structures. A new approach for the localization of defects is presented, using devices with two or more differently doped areas adjacent to the Si-SiO2 interface. Based on those doping profile variations, different areas of the interface can be assigned to particular intervals of the measured charge pumping signal. By varying the geometrical aspect ratios and the areas of the investigated devices, we demonstrate that the interface- and border-trap density on the edges of the structures is significantly higher than in the active area. Finally, challenges arising in the measurement setup are discussed.
Sinusoidally Modulated Hybrid Plasmonic Leaky Wave Optical Antenna

A sinusoidally modulated optical leaky wave antenna is proposed to operate at the standard optical communication wavelength of 1550 nm. In order to have a beam in the desired direction, and simultaneously, control the side lobe level, a new algorithm is proposed in which the holographic method is modified based on Taylor distribution. The antenna is designed based on hybrid plasmonics structures leading to a high efficiency for the proposed structure. The proposed optical antenna is numerically analyzed using a full wave simulation. The numerical results show a gain of 10 dB, an impedance bandwidth of 28%, and a side lobe level of −17 dB, for the proposed antenna. The proposed antenna can have applications in integrated optical interconnects, highly integrated LIDARS, optical wireless communication, and plasmonics solar cells.
Significance-Driven Data Truncation for Preventing Timing Failures

The continuous scaling of transistor sizes and the increased parametric variations render nanometer circuits more prone to timing failures. To protect circuits from such failures, typically designers adopt pessimistic timing margins, which are estimated under rare worst-case conditions. In this paper, we present a technique that mitigates such pessimistic margins by minimizing the number of timing failures. In particular, we propose a method that minimizes the number of long latency paths within each processor pipeline stage and constrains them in as few stages as possible. Such a method allows us not only to reduce the timing failures but also to limit the potential error-prone locations to only a few pipeline stages. To further reduce these failures, we exploit the path excitation dependence on data patterns and truncate the bitwidth of the operands in the few remaining long latency paths by setting a number of less significant bits (LSBs) to a constant value of zero. Such a truncation may incur quality loss, but this is limited since it is applied only to the LSBs of the few operands that may activate the confined error-prone long latency paths. To evaluate the efficiency of our method, we perform post-place and route dynamic timing analysis based on real operands extracted from a variety of applications. This helps to estimate the bit-error rate, while considering the data-dependent path excitation. When applied to an IEEE-754 compatible double precision floating point unit (FPU), the proposed approach reduces the timing failures by $216.25 {\times }$ on average compared to the reference FPU design under an assumed 8.1% variation-induced worst-case path delay increase in a 45-nm process. Our results show that the path shaping alone introduces a negligible 0.25% area and 5.7% power overheads with no performance cost. Finally, we demonstrate that by combining the path shaping with aggressive operand bitwidth truncation, we enable power savings up to 44.7% due to the substantially reduced switching activity at minimal quality loss.
High Uniform Carbon Nanotube Thin Films Spray Deposition on Substrates with Patterned Structures Having Height Difference

It was investigated to use the mixture of solvents with different evaporation rates for spray deposition of high uniform CNT films on flexible polymer substrates and substrates with a height differences about 2 micron, near which the formation of nonuniformities is possible when using non-optimal solution composition. The degree of uniformity was estimated by analysis of the surface distribution of the Raman peaks intensity corresponding to CNT. It was shown, in this way, that uniformity was significantly depend which solvent for CNT solution had been used, especially for substrate with patterned structures. In addition, a significant change of resistivity and intensity of Raman scattering of CNT in films was observed after formic acid treatment due to the removal of residual solvent. The obtained results can be used for development of transparent conducting electrodes for organic photovoltaic cells, sensor and autoemission structures.