Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptive Fuzzy Tracking Control for a Class of MIMO Nonlinear Systems in Nonstrict-Feedback Form

This paper focuses on the problem of fuzzy adaptive control for a class of multiinput and multioutput (MIMO) nonlinear systems in nonstrict-feedback form, which contains the strict-feedback form as a special case. By the condition of variable partition, a new fuzzy adaptive backstepping is proposed for such a class of nonlinear MIMO systems. The suggested fuzzy adaptive controller guarantees that the proposed control scheme can guarantee that all the signals in the closed-loop system are semi-globally uniformly ultimately bounded and the tracking errors eventually converge to a small neighborhood around the origin. The main advantage of this paper is that a control approach is systematically derived for nonlinear systems with strong interconnected terms which are the functions of all states of the whole system. Simulation results further illustrate the effectiveness of the suggested approach.
Hembase: browser and genome portal for hematology and erythroid biology

Hembase (http://hembase.niddk.nih.gov) is an integrated browser and genome portal designed for web-based examination of the human erythroid transcriptome. To date, Hembase contains 15,752 entries from erythroblast Expressed Sequenced Tags (ESTs) and 380 referenced genes relevant for erythropoiesis. The database is organized to provide a cytogenetic band position, a unique name as well as a concise annotation for each entry. Search queries may be performed by name, keyword or cytogenetic location. Search results are linked to primary sequence data and three major human genome browsers for access to information considered current at the time of each search. Hembase provides interested scientists and clinical hematologists with a genome-based approach toward the study of erythroid biology.
Using coupling measurement for impact analysis in object-oriented systems

Many coupling measures have been proposed in the context of object oriented (OO) systems. In addition, due to the numerous dependencies present in OO systems, several studies have highlighted the complexity of using dependency analysis to perform impact analysis. An alternative is to investigate the construction of probabilistic decision models based on coupling measurement to support impact analysis. In addition to providing an ordering of classes where ripple effects are more likely, such an approach is simple and can be automated. In our investigation, we perform a thorough analysis on a commercial C++ system where change data has been collected over several years. We identify the coupling dimensions that seem to be significantly related to ripple effects and use these dimensions to rank classes according to their probability of containing ripple effects. We then assess the expected effectiveness of such decision models.
Adenovirus E1A Directly Targets the E2F/DP-1 Complex

ABSTRACT Deregulation of the cell cycle is of paramount importance during adenovirus infection. Adenovirus normally infects quiescent cells and must initiate the cell cycle in order to propagate itself. The pRb family of proteins controls entry into the cell cycle by interacting with and repressing transcriptional activation by the E2F transcription factors. The viral E1A proteins indirectly activate E2F-dependent transcription and cell cycle entry, in part, by interacting with pRb and family members to free the E2Fs. We report here that an E1A 13S isoform can unexpectedly activate E2F-responsive gene expression independently of binding to the pRb family of proteins. We demonstrate that E1A binds to E2F/DP-1 complexes through a direct interaction with DP-1. E1A appears to utilize this binding to recruit itself to E2F-regulated promoters, and this allows the E1A 13S protein, but not the E1A 12S protein, to activate transcription independently of interaction with pRb. Importantly, expression of E1A 13S, but not E1A 12S, led to significant enhancement of E2F4 occupancy of E2F sites of two E2F-regulated promoters. These observations identify a novel mechanism by which adenovirus deregulates the cell cycle and suggest that E1A 13S may selectively activate a subset of E2F-regulated cellular genes during infection.
Classification of data center to maximize energy utilization and save total cost of ownership

Multi-tier data centers have become a norm for hosting modern Internet applications as they provide a flexible, modular, scalable and high performance environment. However, these benefits come at a price of the economic dent incurred in powering and cooling these large hosting centers. Energyefficiency, performance, power utilization and environmental considerations become critical considerations in designingand implementing large, cluster-based multi-tier data centers for supporting a multitude of services. Tierperformance standards are key features for comparing the capabilities of a particular design topology against others or to compare group of data centers. This paper proposes to categorize data centers in four tier level categories depending on different parameters like performance, facilities, throughput, and subsystems in data center. The proposed technique helps to measure the performance and efficiency accurately and resourcefully. The classification helps technical and non-technical data center managers in identifying the anticipated performance of site infrastructure and design topologies equipped with latest data center standards to measure the performance and efficiency in terms of energy utilization and emission of greenhouse gases very hazardous for environmental sustainability and global warming.
The effect of two phosphodiesterase inhibitors on bone healing in mandibular fractures (animal study in rats)

Objectives Despite advances in maxillofacial surgery, impaired bone healing remains a concern for surgical teams. Many studies have evaluated the effects of sildenafil and pentoxifylline on bone healing. However, their effects on healing of bone fractures have not been well investigated. This study aimed to assess the effects of the phosphodiesterase inhibitors sildenafil and pentoxifylline on healing of mandibular fractures in rats. Materials and Methods A total of 60 rats were randomly divided into six groups of 10. Mandibular fracture was induced in all rats. After the surgical procedure, group C1 received saline, group S1 received 10 mg/kg sildenafil and group P1 received 50 mg/kg pentoxifylline. The rats were sacrificed after 1 week. Groups C4, S4, and P4 received pharmaceutical therapy as in groups C1, S1, and P1 but were sacrificed after 4 weeks. The samples then underwent histological analysis. Results The mean rate of bone healing of mandibular fractures in groups S1 and P1 was significantly higher than in group C1 at 1 week (P<0.001). The mean rate of bone healing of mandibular fractures in group P1 was higher than in group S1 at 1 week (P=0.04). The mean rate of bone healing of mandibular fractures in groups S4 (P=0.001) and P4 (P=0.004) was significantly higher than in group C4 at 4 weeks, but no significant difference was noted in the rate of healing between groups P4 and S4 (P=0.53). Conclusion Sildenafil and pentoxifylline can be used as adjuncts to enhance bone healing in rats.
Experimental Implementation of Model Predictive Control for Permanent Magnet Synchronous Motor

Fast speed drives for Permanent Magnet Synchronous Motor (PMSM) is a crucial performance for the electric traction systems. In this paper, PMSM is derived with a Model-based Predictive Control (MPC) technique. Fast speed tracking is achieved through optimization of the DC source utilization using MPC. The technique is based on predicting the optimum voltage vector applied to the driver. Control technique is investigated by comparing to the cascaded PI control based on Space Vector Pulse Width Modulation (SVPWM). MPC and SVPWM-based FOC are implemented with the TMS320F2812 DSP and its power driver circuits. The designed MPC for a PMSM drive is experimentally validated on a laboratory test bench. The performances are compared with those obtained by a conventional PI-based system in order to highlight the improvements, especially regarding speed tracking response. Keywords—Permanent magnet synchronous motor, mode predictive control, optimization of DC source utilization, cascaded PI control, space vector pulse width modulation, TMS320F2812 DSP.
Deconstruction in a `Thinking' Science: Theoretical Physicists at Work

In this paper we apply the laboratory study approach of the new sociology of scientific practice to a `thinking science': theoretical physics. To specify the work and accomplishments of theoretical physicists we choose the notion of `deconstruction'. Deconstruction involves the expansion of a concrete object, such as an equation, into a series of other objects upon which the `hardness' of a problem can be shifted and distributed. In solving an equation, however, the determinate path of a deconstruction method needs to be supplemented by the exploration of clues and guesses, trials and tricks. We trace a series of devices, and iterations thereof, which physicists mobilize in dealing with hard problems: formal deconstructions, detours and tricks to identify a working deconstruction, variation, `doing examples', modelling and, finally, thought alliances between subjects.
A design of D2D-pairing scheme on Voronoi diagram

In the hybrid network of Device-to-Device (D2D) and cellular communications, reducing the co-channel interference is always hotpot problem, in which the interference involves either the co-channel among D2D terminals or between cellular and D2D links. Lower co-channel interference can improve the link spectrum efficiency effectively. This paper focus on discussing the D2D communications under the dedicated model, which is defined for no interference existing between cellular and D2D links. We depict a D2D-paring scheme to confront the influence of co-channel interference in D2D communications by introducing the Voronoi diagram. According to the location of D2D terminals, the Voronoi diagram can be constructed and rule the D2D-paring criterion that D2D terminals establish communications link only between adjacent polygons. The interference Management algorithm is proposed, which shows that small communications range causes lower co-channel interference, especially, when the channel inversion principle is considered. More intuitive result is obtained in the simulation part. Compared the D2D-paring scheme with some introduced classic literature, both the coverage probability and link spectrum efficiency can all be enhanced obviously.
Fast and scalable temperature-driven floorplan design in 3D MPSoCs

Temperature-driven floorplaners have been recently proposed to alleviate the thermal problem in 3D multi-processor systems-on-chip (MPSoC). However, the proposed algorithms fail to provide fast placement of the modules when the complexity and the number of functional units in the stack increases. This paper proposes a fast and scalable CPU-GPU implementation of a multi-objective evolutionary algorithm that performs a thermal optimization of complex 3D MPSoCs, capable of obtaining optimal solutions in a reduced time. A comparative study shows that this work outperforms other proposals and reduces the computational time of the thermal optimization of complex architectures.
Let Them Fall Where They May: Capture Regions of Curved Objects and Polyhedra

When a three-dimensional object is placed in contact with a supporting plane, gravitational forces move it to one of a finite set of stable poses. For each stable pose, there is a region in the part's configuration space called a capture region; for any initial configuration within the region, the object is guaranteed to converge to that pose. The problem of computing maximal capture regions from an object model is analyzed assuming only that the dynamics are dissipative; the precise equations governing the system are unnecessary. An algorithm, based on Morse theory, is first developed for objects with smooth, convex hulls. The formulation is then extended to objects with piecewise-smooth hulls using a catalog of critical points de rived from stratified Morse theory. Algorithms have been fully implemented for objects with smooth and polyhedral convex hulls. As examples from the implementation demonstrate, calcu lating these regions from a geometric model is computationally practical.
KNS4/UPEX1: A Type II Arabinogalactan β-(1,3)-Galactosyltransferase Required for Pollen Exine Development1[OPEN]

KNS4/UPEX1 is involved in the synthesis of type II AG of AGPs/pectins that are essential components of pollen grain walls providing the scaffold for exine construction/architecture. Pollen exine is essential for protection from the environment of the male gametes of seed-producing plants, but its assembly and composition remain poorly understood. We previously characterized Arabidopsis (Arabidopsis thaliana) mutants with abnormal pollen exine structure and morphology that we named kaonashi (kns). Here we describe the identification of the causal gene of kns4 that was found to be a member of the CAZy glycosyltransferase 31 gene family, identical to UNEVEN PATTERN OF EXINE1, and the biochemical characterization of the encoded protein. The characteristic exine phenotype in the kns4 mutant is related to an abnormality of the primexine matrix laid on the surface of developing microspores. Using light microscopy with a combination of type II arabinogalactan (AG) antibodies and staining with the arabinogalactan-protein (AGP)-specific β-Glc Yariv reagent, we show that the levels of AGPs in the kns4 microspore primexine are considerably diminished, and their location differs from that of wild type, as does the distribution of pectin labeling. Furthermore, kns4 mutants exhibit reduced fertility as indicated by shorter fruit lengths and lower seed set compared to the wild type, confirming that KNS4 is critical for pollen viability and development. KNS4 was heterologously expressed in Nicotiana benthamiana, and was shown to possess β-(1,3)-galactosyltransferase activity responsible for the synthesis of AG glycans that are present on both AGPs and/or the pectic polysaccharide rhamnogalacturonan I. These data demonstrate that defects in AGP/pectic glycans, caused by disruption of KNS4 function, impact pollen development and viability in Arabidopsis.
Recognition and Textual Description of Human Activities by Mobile Robot

In this paper, we propose a method for recognizing human actions and objects and translating them into natural language text. First, 3D environmental map is constructed by accumulating range maps captured from a 3D range sensor mounted on a mobile robot. Then, pose of a person in the scene is estimated by fitting articulated cylindrical model and also object is recognized by matching 3D models. On condition that the person handles some objects, interaction with the object is classified. Finally, using conceptual model representing human actions and related objects, a natural language expression which is most suitable to explain the person's action is generated.
Architectural support for system software on large-scale clusters

Scalable management of distributed resources is one of the major challenges in deployment of large-scale clusters. Management includes transparent fault tolerance, efficient allocation of resources, and support for all the needs of parallel computing: parallel I/O, deterministic behavior, and responsiveness. Meeting these requirements with commodity hardware and operating systems is difficult because they were not designed to support global management of a large-scale system. We propose a small set of hardware mechanisms in the cluster interconnect to facilitate the implementation of a simple yet powerful global operating system. This system, inspired by concepts from the BSP and SIMD computational models, allows commodity clusters to grow to thousands of nodes while still retaining the usability and responsiveness of the single-node workstation. Our results on a software prototype show that it is possible to implement efficient and scalable system software using the proposed set of mechanisms.
Dietary Patterns, Food Groups, and Rectal Cancer Risk in Whites and African-Americans

Background: Associations between individual foods and nutrients and colorectal cancer have been inconsistent, and few studies have examined associations between food, nutrients, dietary patterns, and rectal cancer. We examined the relationship between food groups and dietary patterns and risk for rectal cancer in non-Hispanic Whites and African-Americans. Methods: Data were from the North Carolina Colon Cancer Study—Phase II and included 1,520 Whites (720 cases, 800 controls) and 384 African-Americans (225 cases, 159 controls). Diet was assessed using the Diet History Questionnaire. Multivariate logistic regression models were used to estimate odds ratios and 95% confidence intervals. Results: Among Whites, nonwhole grains and white potatoes were associated with elevated risk for rectal cancer whereas fruit, vegetables, dairy, fish, and poultry were associated with reduced risk. In African-Americans, high consumption of other fruit and added sugar suggested elevated risk. We identified three major dietary patterns in Whites and African-Americans. The high fat/meat/potatoes pattern was observed in both race groups but was only positively associated with risk in Whites (odds ratio, 1.84; 95% confidence interval, 1.03-3.15). The vegetable/fish/poultry and fruit/whole grain/dairy patterns in Whites had significant inverse associations with risk. In African-Americans, there was a positive dose-response for the fruit/vegetables pattern (Ptrend < 0.0001) and an inverse linear trend for the legumes/dairy pattern (Ptrend < 0.0001). Conclusion: Our findings indicate that associations of certain food groups and overall dietary patterns with rectal cancer risk differ between Whites and African-Americans, highlighting the importance of examining diet and cancer relationships in racially diverse populations. (Cancer Epidemiol Biomarkers Prev 2009;18(5):1552–61)
Novel speech features for improved detection of spoofing attacks

Now-a-days, speech-based biometric systems such as automatic speaker verification (ASV) are highly prone to spoofing attacks by an imposture. With recent development in various voice conversion (VC) and speech synthesis (SS) algorithms, these spoofing attacks can pose a serious potential threat to the current state-of-the-art ASV systems. To impede such attacks and enhance the security of the ASV systems, the development of efficient anti-spoofing algorithms is essential that can differentiate synthetic or converted speech from natural or human speech. In this paper, we propose a set of novel speech features for detecting spoofing attacks. The proposed features are computed using alternative frequency-warping technique and formant-specific block transformation of filter bank log energies. We have evaluated existing and proposed features against several kinds of synthetic speech data from ASVspoof 2015 corpora. The results show that the proposed techniques outperform existing approaches for various spoofing attack detection task. The techniques investigated in this paper can also accurately classify natural and synthetic speech as equal error rates (EERs) of 0% have been achieved.
On the global optimum motion planning for dynamic coupling robotic manipulators using particle swarm optimization technique

In this paper, global optimization approach using particle swarm optimization technique for motion planning of dynamic coupling robotic manipulators, involving the optimization of dynamic performance criteria, has been shown to exhibit certain advantages compared with local optimizers. In this approach, the joint torques of the robotic manipulator are approximated by parameterized B-spline functions, and then the particle swarm optimization algorithm is used to determine the optimal parameters. The optimal motion is thus obtained which satisfies the dynamic constraints condition. By performing numerical simulations, the effectiveness of the proposed motion planning by particle swarm optimization technique is verified.
How Plants Sense Wounds: Damaged-Self Recognition Is Based on Plant-Derived Elicitors and Induces Octadecanoid Signaling

Background Animal-derived elicitors can be used by plants to detect herbivory but they function only in specific insect–plant interactions. How can plants generally perceive damage caused by herbivores? Damaged-self recognition occurs when plants perceive molecular signals of damage: degraded plant molecules or molecules localized outside their original compartment. Methodology/Principal Findings Flame wounding or applying leaf extract or solutions of sucrose or ATP to slightly wounded lima bean (Phaseolus lunatus) leaves induced the secretion of extrafloral nectar, an indirect defense mechanism. Chemically related molecules that would not be released in high concentrations from damaged plant cells (glucose, fructose, salt, and sorbitol) did not elicit a detectable response, excluding osmotic shock as an alternative explanation. Treatments inducing extrafloral nectar secretion also enhanced endogenous concentrations of the defense hormone jasmonic acid (JA). Endogenous JA was also induced by mechanically damaging leaves of lima bean, Arabidopsis, maize, strawberry, sesame and tomato. In lima bean, tomato and sesame, the application of leaf extract further increased endogenous JA content, indicating that damaged-self recognition is taxonomically widely distributed. Transcriptomic patterns obtained with untargeted 454 pyrosequencing of lima bean in response to flame wounding or the application of leaf extract or JA were highly similar to each other, but differed from the response to mere mechanical damage. We conclude that the amount or concentration of damaged-self signals can quantitatively determine the intensity of the wound response and that the full damaged-self response requires the disruption of many cells. Conclusions/Significance Numerous compounds function as JA-inducing elicitors in different plant species. Most of them are, contain, or release, plant-derived molecular motifs. Damaged-self recognition represents a taxonomically widespread mechanism that contributes to the perception of herbivore feeding by plants. This strategy is independent of insect-derived elicitors and, therefore, allows plants to maintain evolutionary control over their interaction with herbivores.
Virtual Reality and Point-Based Rendering in Architecture and Heritage

Nowadays, acquisition technologies such as LIDAR (Laser Imaging Detection and Ranging) allow us to obtain high-precision georeferenced 3D scans of the real world in an easy and fast way. These types of datasets are called point clouds. These scanners not only provide position information but also color data associated to a point, yielding not only precise but also realistic looking 3D models by applying advanced point-based rendering algorithms. In disciplines like heritage, architecture or most engineering’s, being able to have a detailed virtual representation of physical objects or places, in which you can measure or perform virtual walks, can be really important. Engineers can track and visualize from the desk the state and performance of the works, in addition to applying all kinds of computations easily and accurately. Archaeologists can store and manage exact digital copies of the pieces they are working with and make restoration plans; architects can represent the state of buildings and all the technical data too; urban planners can work on digital models of entire cities; and a long etc. This means a clear advantage over classic workflows, in which it would be necessary to go back to the field to examine a new area or perform certain measurements; this drawback is eliminated when you have a high precision 3D model of the site at your disposal.