Miracle-dz/UniFAR-FTUs huggingface dataset:
VIP1 is very important/interesting protein 1 regulating touch responses of Arabidopsis

ABSTRACT VIP1 (VIRE2-INTERACTING PROTEIN 1) is a bZIP transcription factor in Arabidopsis thaliana. VIP1 and its close homologs (i.e., Arabidopsis group I bZIP proteins) are present in the cytoplasm under steady conditions, but are transiently localized to the nucleus when cells are exposed to hypo-osmotic conditions, which mimic mechanical stimuli such as touch. Recently we have reported that overexpression of a repression domain-fused form of VIP1 represses the expression of some touch-responsive genes, changes structures and/or local auxin responses of the root cap cells, and enhances the touch-induced root waving. This raises the possibility that VIP1 suppresses touch-induced responses. VIP1 should be useful to further characterize touch responses of plants. Here we discuss 2 seemingly interesting perspectives about VIP1: (1) What factors are involved in regulating the nuclear localization of VIP1? ; (2) What can be done to further characterize the physiological functions of VIP1 and other Arabidopsis group I bZIP proteins?
Two-Way Real-Time Authentication System Based on Dynamic Password and Multi-biometric

In this paper, we have designed a high-security two-way real-time authentication system using dynamic password and multi-biometric to solve the shortages of traditional information system. In order to guarantee the security of fingerprint eigen value and facial feature value, we encrypt them with dynamic password. By the method of two-way authentication, it not only can ensure authentication server to recognize the users, but also guarantee the users to verify authentication server, effectively prevent information from leakage caused by counterfeit servers and tampering. When we use the system, the server gets face feature extraction information from the client every three minutes, to protect the irreplaceable nature of the user. The technology of role-based access control simplifies license management. The technologies of MPEG-4 and local directional mode LDP are used to deal with the information of human face, to quantify the characteristics of the face value.
DETECTION OF HIGHER MODE SURFACE WAVES OVER UNCONSOLIDATED SEDIMENTS BY THE MX 4 WMETHOD

In engineering application of surface waves it is critically important to accurately extract the fundamental mode dispersion curve. Among several factors that may adversely affect the extraction is the existence of higher modes with significant amount of energy. A calculated phase velocity can be an average of the fundamental and the higher-modes phase velocities or it can be the phase velocity of a specific higher mode, depending upon the specific method used for the application, unless the higher modes are properly handled during the data acquisition and processing steps. Therefore, it will have a practical value to observe the higher mode generation through field experiments and examine for any parameter that can be controlled during data acquisition.
The Role of Acute Trigemino-Cardiac Reflex in Unusual, Non-Surgical Cases: A Review

Trigemino-cardiac reflex (TCR) is a well-established phenomenon that is mainly reported in the various surgical specialties. However, the role of this unique reflex is entirely unknown in other medicine domains. Therefore, the present mini-review aims to explore the role of TCR in such unusual cases and also highlights the importance of case reports for knowledge creation in such context.
Composite Fractional Time Evolutions of Cumulants in Fractional Generalized Birth Processes

A fractional generalized pure birth process is studied based on the master equation approach. The exact analytic solution of the generating function of the probability density for the process is given in terms of the Gauss hypergeometric function. The expressions of moments are also obtained in an explicit form. The effects of fixed and distributed initial conditions are also elucidated. The effect of memory is demonstrated quantitatively in terms of the mean, variance, and the Fano factor. It is also shown how to discriminate a fractional generalized birth process from the fractional Yule-Furry process. Further, the appearance of composite fractional time evolutions of cumulants is elucidated in conjunction with the fractional Poisson and the fractional Yule-furry processes.
MUSIC algorithm for DOA estimation using MIMO arrays

In this paper MUSIC algorithm by using of multi-input multi-output (MIMO) arrays is investigated and its performance is compared with conventional arrays. The parameters involved in this comparison are: the number of the snapshots and array elements, and the SNR values. MIMO configuration with spatially orthogonal signal transmission is equivalent to additional virtual sensors which extend the array aperture with virtual spatial tapering. These virtual sensors can be used to form narrower beams with lower sidelobes and, therefore, provide higher performance in target detection, angular resolution, and angular estimation accuracy. Simulation results on prototype data showed the superiority of MUSIC algorithm performance; that is without requirement to increase the SNR value or the elements and snapshots number, high performance is simply possible by means of MIMO arrays.
A BACK-TRACKING PROCEDURE FOR OPTIMIZATION OF MESHES

This work presents a back-tracking procedure for optimization of two and three dimensional meshes. The Back-tracking procedure is applied to all ill-shaped elements in a mesh, in order to guarantee quality in mesh optimization. Basically, the original mesh is reconstructed in regions around the ill-shaped elements. The Back-tracking procedure is based on the following steps. The initial local region for remeshing is identified grouping the ill-shaped element with adjacent elements that share edges (in 2D) and faces and edges (in 3D) with it. Then, visibility tests related to the centroid of this region are done, in order to check whether this centroid is visible from all nodes on the boundary of the region. If any boundary node is not visible from the centroid, the region is expanded with elements that share edges (in 2D) and faces and edges (in 3D) with the elements that contain the non-visible nodes. The procedure is applied again for this expanded region and continues until all nodes on the boundary of the selected region are visible from the centroid. After a region for reconstruction is selected, new elements are generated, connecting the elements on the boundary of the region to the centroid. Since the region presents a convex shape, the remeshing results in well-shaped elements. The Back-tracking procedure fixes problems related to the quality of generated meshes in general. It can be applied in both two and three dimensions, although it can be shown that in two dimensions such problems are more difficult to occur because usually a smoothing procedure gets rid of ill-shaped elements. The procedure works deleting elements ranked below a predefined shape quality measure. It is important to mention that, although the presented procedure was devised for advancing-front algorithms, it can also be used for meshes generated by different approaches, such as Delaunay based and others, with no modifications. Examples of generated meshes using the Back-tracking procedure are presented, in which the quality of these meshes are assessed in order to validate the procedure proposed in this work.
Development of a novel direct-drive tubular linear brushless permanent-magnet motor

This paper presents a novel design for a tubular linear brushless permanent-magnet motor. In this design, the magnets in the moving part are oriented in an NS-NS-SN-SN fashion which leads to higher magnetic force near the like-pole region. An analytical methodology to calculate the motor force and to size the actuator was developed. The linear motor is operated in conjunction with a position sensor, three power amplifiers, and a controller to form a complete solution for controlled precision actuation. Real-time digital controllers enhanced the dynamic performance of the motor, and; gain scheduling reduced the effects of a nonlinear dead band. In its current state, the motor has a rise time of 30 ms, a settling time of 60 ms, and 25% overshoot to a 5-mm step command. The motor has a maximum speed of 1.5 m/s and acceleration up to 10 g. It has a 10-cm travel range and 26-N maximum pull-out force. The compact size of the motor suggests it could be used in robotic applications requiring moderate force and precision, such as robotic-gripper positioning or actuation. The moving part of the motor can extend significantly beyond its fixed support base. This reaching ability makes it useful in applications requiring a small, direct-drive actuator, which is required to extend into a spatially constrained environment.
Feature enhancement by bidirectional LSTM networks for conversational speech recognition in highly non-stationary noise

The recognition of spontaneous speech in highly variable noise is known to be a challenge, especially at low signal-to-noise ratios (SNR). In this paper, we investigate the effect of applying bidirectional Long Short-Term Memory (BLSTM) recurrent neural networks for speech feature enhancement in noisy conditions. BLSTM networks tend to prevail over conventional neural network architectures, whenever the recognition or regression task relies on an intelligent exploitation of temporal context information. We show that BLSTM networks are well-suited for mapping from noisy to clean speech features and that the obtained recognition performance gain is partly complementary to improvements via additional techniques such as speech enhancement by non-negative matrix factorization and probabilistic feature generation by Bottleneck-BLSTM networks. Compared to simple multi-condition training or feature enhancement via standard recurrent neural networks, our BLSTM-based feature enhancement approach leads to remarkable gains in word accuracy in a highly challenging task of recognizing spontaneous speech at SNR levels between -6 and 9 dB.
Toward a hierarchy of mechanisms in CaMKII-mediated arrhythmia

Calcium/calmodulin-dependent protein kinase II (CaMKII) activity has been shown to contribute to arrhythmogenesis in a remarkably broad range of cardiac pathologies. Several of these involve significant structural and electrophysiologic remodeling, whereas others are due to specific channelopathies, and are not typically associated with arrhythmogenic changes to protein expression or cellular and tissue structure. The ability of CaMKII to contribute to arrhythmia across such a broad range of phenotypes suggests one of two interpretations regarding the role of CaMKII in cardiac arrhythmia: (1) some CaMKII-dependent mechanism is a common driver of arrhythmia irrespective of the specific etiology of the disease, or (2) these different etiologies expose different mechanisms by which CaMKII is capable of promoting arrhythmia. In this review, we dissect the available mechanistic evidence to explore these two possibilities and discuss how the various molecular actions of CaMKII promote arrhythmia in different pathophysiologic contexts.
Human-machine Interface in Multimedia Communication Examples of Revolutions and Evolutions in Communications an Overview of Bcis

Human-computer interface (HCI) has been a growing field of research and development in recent years [1]-[4]. Most of the effort has been dedicated to the design of user-friendly and ergonomic systems by means of innovative interfaces such as voice, vision, and other input/output devices in virtual reality [5]-[15]. Direct brain-computer interface (BCI) adds a new dimension to HCI [16]-[23]. Interesting research in this direction has already been initiated, motivated by the hope of creating new communication channels for persons with severe motor disabilities. In this article, we approach the problem of BCI from the viewpoint of interactions in a multimedia-rich environment for the general consumer market. However, this is by no means incompatible with applications for motor impaired subjects. There is a general consensus that BCI represents a new frontier in science and technology. One of the challenging aspects is the need for multidisciplinary skills to achieve this goal. The growing field of BCI is in its infancy, and a significant amount of research is still needed to answer many questions and to resolve many complex problems. This article raises various issues in the design of an efficient BCI system in multimedia applications. The main focus will be on one specific modality, namely electroencephalography (EEG)-based BCI. In doTouradj Ebrahimi, Jean-Marc Vesin, and Gary Garcia
Genetic and Biochemical Characterization of FUS-1 (OXA-85), a Narrow-Spectrum Class D β-Lactamase from Fusobacterium nucleatum subsp. polymorphum

ABSTRACT Previous studies have reported β-lactamase-mediated penicillin resistance in Fusobacterium nucleatum, but no β-lactamase gene has yet been identified in this species. An F. nucleatum subsp. polymorphum strain resistant to penicillin and amoxicillin was isolated from a human periodontitis sample. DNA cloning and sequencing revealed a 765-bp open reading frame encoding a new class D β-lactamase named FUS-1 (OXA-85). A recombinant Escherichia coli strain carrying the blaFUS-1 gene exhibited resistance to amoxicillin with a moderate decrease in the MICs with clavulanic acid. The blaFUS-1 gene was found in two additional clonally unrelated F. nucleatum subsp. polymorphum isolates. It was located on the chromosome in a peculiar genetic environment where a gene encoding a putative transposase-like protein is found, suggesting a possible acquisition of this class D β-lactamase gene. The FUS-1 enzyme showed the closest ancestral relationship with OXA-63 from Brachyspira pilosicoli (53% identity) and with putative chromosomal β-lactamases of Campylobacter spp. (40 to 42% identity). FUS-1 presents all of the conserved structural motifs of class D β-lactamases. Kinetic analysis revealed that FUS-1 exhibits a narrow substrate profile, efficiently hydrolyzing benzylpenicillin and oxacillin. FUS-1 was poorly inactivated by clavulanate and NaCl. FUS-1 is the first example of a class D β-lactamase produced by a gram-negative, anaerobic, rod-shaped bacterium to be characterized.
Membrane Topology of the Yeast Endoplasmic Reticulum-localized Ubiquitin Ligase Doa10 and Comparison with Its Human Ortholog TEB4 (MARCH-VI)*

Quality control machinery in the endoplasmic reticulum (ER) helps ensure that only properly folded and assembled proteins accumulate in the ER or continue along the secretory pathway. Aberrant proteins are retrotranslocated to the cytosol and degraded by the proteasome, a process called ER-associated degradation. Doa10, a transmembrane protein of the ER/nuclear envelope, is one of the primary ubiquitin ligases (E3s) participating in ER-associated degradation in Saccharomyces cerevisiae. Here we report the membrane organization of the 1319-residue Doa10 polypeptide. The topology was determined by fusing a dual-topology reporter after 16 different Doa10 fragments. Our results indicate that Doa10 contains 14 transmembrane helices (TMs). Based on protease digestion of yeast microsomes, both the N-terminal RING-CH domain and the C terminus face the cytosol. Notably, the experimentally derived topology was not predicted correctly by any of the generally available TM prediction algorithms. Bioinformatic analysis and in silico mutagenesis guided the topological studies through problematic regions. The conserved TD domain in Doa10 includes three TMs. These TMs might function in cofactor binding or substrate recognition, or they might be part of a retrotranslocation channel. The Derlins were previously proposed to provide such channels, but we show that the two yeast Derlins are not required for degradation of Doa10 membrane substrates, as was found before for the Sec61 translocon. Finally, we provide evidence that the likely human Doa10 ortholog, TEB4 (MARCH-VI), adopts a topology similar to that of Doa10.
Dynamic Replication Decisions in Fault-Tolerant Multiprocessor-Based Real-Time Systems

Fault-tolerance is an important property for many critical real-time applications such as telecommunication servers or space-borne signal-processing computers, both for static and dynamically arriving tasks. In this paper, we describe two method for supporting fault-tolerance for dynamically arriving tasks by replicating the tasks and scheduling the copies of each critical task. The methods are varieties of the Primary/Backup method for providing faulttolerance and the idea is to dynamically decide whether the replication should be temporal or spatial given the execution time and deadline of the task and the load in the system. This offers a flexibility that improves the schedulability of the dynamically arriving tasks.
Interference management strategy for deploying energy efficient femtocells network

In this paper, we propose a new interference management scheme for femtocells systems based on the cooperation and inter-handover techniques between competing cells in the context of cognitive radio systems. The original idea presented in this work consists of initiating a cooperation protocol between femtocells through inter-handover algorithm based on channel gain diversity. Users belong a given femtocell are allowed to connect to a neighboring cell if their channel gains to this cell are better than what they have with their own femtocell. We have shown in this work, using a game theory based resource allocation scheme, that we can achieve better performance in terms of capacity and power consumption using our approach. The results have shown also that a simple win-win cooperation protocols can be implemented to improve the energy consumption and performance of new cellular systems such as femtocells or even for classical cellular systems if a minimum cooperation schemes are allowed.
Beyond oxygen: complex regulation and activity of hypoxia inducible factors in pregnancy

In the first trimester the extravillous cytotrophoblast cells occlude the uterine spiral arterioles creating a low oxygen environment early in pregnancy, which is essential for pregnancy success. Paradoxically, shallow trophoblast invasion and defective vascular remodelling of the uterine spiral arteries in the first trimester may result in impaired placental perfusion and chronic placental ischemia and hypoxia later in gestation leading to adverse pregnancy outcomes. The hypoxia inducible factors (HIFs) are key mediators of the response to low oxygen. We aimed to elucidate mechanisms of regulation of HIFs and the role these may play in the control of placental differentiation, growth and function in both normal and pathological pregnancies. The Pubmed database was consulted for identification of the most relevant published articles. Search terms used were oxygen, placenta, trophoblast, pregnancy, HIF and hypoxia. The HIFs are able to function throughout all aspects of normal and abnormal placental differentiation, growth and function; during the first trimester (physiologically low oxygen), during mid-late gestation (where there is adequate supply of blood and oxygen to the placenta) and in pathological pregnancies complicated by placental hypoxia/ischemia. During normal pregnancy HIFs may respond to complex alterations in oxygen, hormones, cytokines and growth factors to regulate placental invasion, differentiation, transport and vascularization. In the ever-changing environment created during pregnancy, the HIFs appear to act as key mediators of placental development and function and thereby are likely to be important contributors to both normal and adverse pregnancy outcomes.
Relating plaice (Pleuronectes platessa) recruitment to deteriorating habitat quality: effects of macroalgal blooms in coastal nursery grounds

Concentration of juveniles of marine fishes in nurseries may act as a bottleneck during the life cycle, where quantity and quality of nurseries determine population size. Macroalgal blooms have become a common phenomenon in eutrophic shallow waters worldwide, and matforming algae may now cover many essential nursery habitats. In this investigation, the aim was to assess the quantitative effect of algal mats on the recruitment of plaice (Pleuronectes platessa) from nurseries in the Swedish Skagerrak archipelago. A model was constructed using data on nursery size, settling density, and mortality of plaice combined with data on algal distribution. Recruitment of 0-group plaice from nurseries could be reduced by 30%40% due to algae. The largest negative effect occurred during high settlement, reducing the important influence of strong year classes on stock size. The model predicted a reduction of juveniles due to algae of 4546 × 106 individuals at high settlement. This amounts to 68% of the output at medium.
The Influences of Trust and Perceived Value Towards Purchase Intention of PCC Cement PT. SEMEN Padang in Dumai City

This research aims to analyze the effects of trust and perceived value towards purchase intention of PCC Cement of PT. Semen Padang in Dumai city. Populations in the research are the consumer who experiences purchase PCC Cement in Dumai. The sampling has been developed through the accidentall sampling with Cochran, resulting in 100 respondents. The data is collected by using questionnaire. Technical data analysis has been done by multiple regression and t-test. The result of the research indicate that trust, perceived value has a significant efect on purchase intention of PCC Cement of PT. Semen Padang in Dumai city
STARS: A New Method for Multitemporal Remote Sensing

There is great potential for the development of remote sensing methods that integrate and exploit both multispectral and multitemporal information. This paper presents a new image processing method: Spectral-Temporal Analysis by Response Surface (STARS), which synthesizes the full information content of a multitemporal-multispectral remote sensing image data set to represent the spectral variation over time of features on the Earth's surface. Depending on the application, STARS can be effectively implemented using a range of different models [e.g., polynomial trend surface (PTS) and collocation surface (CS)], exploiting data from different sensors, with varying spectral wavebands and acquiring data at irregular time intervals. A case study was used to test STARS, evaluating its potential to characterize sugarcane harvest practices in Brazil, specifically with and without preharvest straw burning. Although the CS model presented sharper and more defined spectral-temporal surfaces, abrupt changes related to the sugarcane harvest event were also well characterized with the PTS model when a suitable degree was set. Orthonormal coefficients were tested for both the PTS and CS models and performed more accurately than regular coefficients when used as input for three evaluated classifiers: instance based, decision tree, and neural network. Results show that STARS holds considerable potential for representing the spectral changes over time of features on the Earth's surface, thus becoming an effective image processing method, which is useful not only for classification purposes but also for other applications such as understanding land-cover change. The STARS algorithm can be found at www.dsr. inpe.br/~mello.