Miracle-dz/UniFAR-FTUs huggingface dataset:
A review of common receive-end adaptive equalization schemes and algorithms for a high-speed serial backplane

This paper provides a review of the structures and algorithms used in receive end adaptive equalization. These structures are necessary in order to allow high speed signaling over several gigabits per second across a serial backplane channel. As the data rates continue to increase over these channels the causes and the techniques used mitigate interference become more and more important.
When Pattern Met Subspace Cluster

While subspace clustering emerged as an application of pattern mining and some of its early advances have probably been inspired by developments in pattern mining, over the years both fields progressed rather independently. In this paper, we identify a number of recent developments in pattern mining that are likely to be applicable to alleviate or solve current problems in subspace clustering and vice versa.
Stereotyping From the Perspective of Perceivers and Targets

This article provides insight into the process of stereotyping from two different perspectives: the perceiver and the target. From the perceiver's perspective, motivational and cognitive reasons for relying on stereotypes for judgment are discussed. From the targets’ perspective, stereotype threat research is reviewed. From both perspectives, it is clear that stereotypes represent a dual-edged sword for both perceiver and target group members. Finally, research incorporating both perspectives provides useful interventions for prejudice reduction. Creative Commons License This work is licensed under a Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 License. This article is available in Online Readings in Psychology and Culture: http://scholarworks.gvsu. edu/orpc/vol5/iss1/1
Locality-aware process scheduling for embedded MPSoCs

Utilizing on-chip caches in embedded multiprocessor-system-on-a-chip (MPSoC) based systems is critical from both performance and power perspectives. While most of the prior work that targets at optimizing cache behavior are performed at hardware and compilation levels, operating system (OS) can also play major role as it sees the global access pattern information across applications. This paper proposes a cache-conscious OS process scheduling strategy based on data reuse. The proposed scheduler implements two complementary approaches. First, the processes that do not share any data between them are scheduled at different cores if it is possible to do so. Second, the processes that could not be executed at the same time (due to dependences) but share data among each other are mapped to the same processor core so that they share the cache contents. Our experimental results using this new data locality aware OS scheduling strategy are promising, and show significant improvements in task completion times.
The Determination of Relative Elemental Growth Rate Profiles from Segmental Growth Rates (A Methodological Evaluation)

Relative elemental growth rate (REGR) profiles describe spatial patterns of growth intensity; they are indispensable for causal growth analyses. Published methods of REGR profile determination from marking experiments fall in two classes: the profile is either described by a series of segmental growth rates, or calculated as the slope of a function describing the displacement velocities of points along the organ. The latter technique is usually considered superior for theoretical reasons, but to our knowledge, no comparative methodological study of the two approaches is currently available. We formulated a model REGR profile that resembles those reported from primary roots. We established the displacement velocity profile and derived growth trajectories, which enabled us to perform hypothetical marking experiments on the model with varying spacing of marks and durations of measurement. REGR profiles were determined from these data by alternative methods, and results were compared to the original profile. We find that with our model plotting of segmental relative growth rates versus segment position provides exact REGR profile estimations, if the initial segment length is less than 10% of the length of the whole growing zone, and if less than 20% of the growing zone is displaced past its boundary during the measurement. Based on our analysis, we discuss systematic errors that occur in marking experiments.
Decoupling Environment-Dependant and Independent Genetic Robustness across Bacterial Species

Supplementary note 1: description of reactions’ essentiality across species and environments We examined for each species the essentiality of its reactions across all its viable environments (all files are available on http://www.cs.tau.ac.il/~jonatha6/publications/htmls_to_upload.zip). The list of species/environments is presented in species_mapping. html, where each entry leads to the species-specific table describing the essentiality of each reaction (essential/non-essential reactions are denoted by red/green color respectively) over all viable environments. The list of reactions is presented in enzymes_mapping. html.
SCJ: A Breakpoint-Like Distance that Simplifies Several Rearrangement Problems

The breakpoint distance is one of the most straightforward genome comparison measures. Surprisingly, when it comes to defining it precisely for multichromosomal genomes with both linear and circular chromosomes, there is more than one way to go about it. Pevzner and Tesler gave a definition in a 2003 paper, Tannier et al. defined it differently in 2008, and in this paper we provide yet another alternative, calling it SCJ for single-cut-or-join, in analogy to the popular double cut and join (DCJ) measure. We show that several genome rearrangement problems, such as median and halving, become easy for SCJ, and provide linear and higher polynomial time algorithms for them. For the multichromosomal linear genome median problem, this is the first polynomial time algorithm described, since for other distances this problem is NP-hard. In addition, we show that small parsimony under SCJ is also easy, and can be solved by a variant of Fitch's algorithm. In contrast, big parsimony is NP-hard under SCJ. This new distance measure may be of value as a speedily computable, first approximation to distances based on more realistic rearrangement models.
The Influence of Adherend Topography on the Fracture Toughness of Aluminium-Epoxy Adhesive Joints in Humid Environments

Abstract The adherend surface topography has a dramatic effect on the durability of structural bonds formed between aluminium and an epoxy adhesive. Systematic changes in the micro-roughness of an aluminium adherend were achieved using an ultra-milling technique to prepare surfaces with topographies ranging from ultra-flat to a sawtooth profile with a base angle of approximately 60° and a peak-to-valley depth of 10 μm. The fracture toughness of double-cantilever beam specimens, stressed in the Mode 1 direction and exposed to a humid environment was found to change by a factor of approximately one hundred as the sawtooth profile angle was increased. These changes in fracture toughness may be accounted for through complex interrelationships between moisture diffusion and interphase mechanical properties, each with a strong dependence on the surface micro-topography.
Construction of 3D Environment Model from an Omni-Directional Image Sequence

Map information is important for path planning and self-localization when mobile robots accomplish au- tonomous tasks. In unknown environments, however, mobile robots should generate an environment map by themselves. We propose a method for 3D environment modeling by a mobile robot. A 3D environment model can be generaterd from the result of 3D measurement using image data. To realize a 3D measurement of objects more efficiently, the robot uses an image sequence acquired by an omni-directional camera which has a wide field of view. The measurement method is based on structure from motion. A triangular mesh is constructed from measurement data. Experimental results showed the effectiveness of the proposed method.
Development of a conformable electronic skin based on silver nanowires and PDMS

This paper presented the designed and tested a flexible and stretchable pressure sensor array that could be used to cover 3D surface to measure contact pressure. The sensor array is laminated into a thin film with 1 mm in thickness and can easily be stretched without losing its functionality. The fabricated sensor array contained 8×8 sensing elements, each could measure the pressure up to 180 kPa. An improved sandwich structure is used to build the sensor array. The upper and lower layers were PDMS thin films embedded with conductor strips formed by PDMS-based silver nanowires (AgNWs) networks covered with nano-scale thin metal film. The middle layer was formed a porous PDMS film inserted with circular conductive rubber. The sensor array could detect the contact pressure within 30% stretching rate. In this paper, the performance of the pressure sensor array was systematically studied. With the corresponding scanning power-supply circuit and data acquisition system, it is demonstrated that the system can successfully capture the tactile images induced by objects of different shapes. Such sensor system could be applied on complex surfaces in robots or medical devices for contact pressure detection and feedback.
The Electrical Conductivity of MgO Single Crystals at High Temperatures

The variation of electrical conductivity of MgO single crystals is measured as a function of temperature over the range from 300° to 1500°K. Heat pre-treatment is found necessary to stabilize the results at high temperatures. Assuming that the conductivity is electronic and intrinsic the energy gap between the full and conduction band is found to be 4.6 eV.
On-line road boundary estimation by switching multiple road models using visual features from a stereo camera

This paper describes a road boundary estimation method for autonomous navigation. We consider navigation in a campus environment, where roads (or traversable regions) are not necessarily modeled by a typical road model with a pair of parallel lines, but have a variety of shapes. We therefore use a set of flexible road models with model transition mechanisms for a robust road boundary estimation. This new modeling is incorporated into our multiple sensory feature-based road boundary estimation framework using a particle filter. The proposed method has been successfully applied to various scenes in our campus to realize autonomous navigation.
Theoretical investigation of armchair silicene nanoribbons with application in stretchable electronics

The electronic and transport properties of a series of 11-ASiNRs (armchair silicene nanoribbons) at different torsion angles were studied by using density functional theory combined with nonequilibrium Green's function method. Several key factors determining the transport properties, such as the electron transmission coefficient and band structure, have been discussed. The interesting results suggest that the transport properties of ASiNRs are insensitive to the torsional silicene nanoribbon configuration in the scattering region. With the increase of the torsion angle, the transmission coefficient is still well maintained within the limits of the torsion angle. Although the torsion angle is increased to 120°, the current dropped by just 22% compared to the initial 11-ASiNRs at a torsion angle of 0°. Furthermore, all the configurations of 11-ASiNRs in this study behave as conventional conductors with nearly linear current–voltage dependence. On the basis of these distinctive transport properties with metabolic structure, ASiNRs present potential promising applications in silicon-based electronic nanodevices.
Natural Allelic Variations of Xenobiotic Enzymes Pleiotropically Affect Sexual Dimorphism in Oryzias latipes

Sexual dimorphisms, which are phenotypic differences between males and females, are driven by sexual selection [1, 2]. Interestingly, sexually selected traits show geographic variations within species despite strong directional selective pressures [3, 4]. However, genetic factors that regulate varied sexual differences remain unknown. In this study, we show that polymorphisms in cytochrome P450 (CYP) 1B1, which encodes a xenobiotic-metabolising enzyme, are associated with local differences of sexual dimorphisms in the anal fin morphology of medaka fish (Oryzias latipes). High and low activity CYP1B1 alleles increased and decreased differences in anal fin sizes, respectively. Behavioural and phylogenetic analyses suggest maintenance of the high activity allele by sexual selection, whereas the low activity allele may have evolved by positive selection due to by-product effects of CYP1B1. The present data can elucidate evolutionary mechanisms behind genetic variations in sexual dimorphism and indicate pleiotropic effects of xenobiotic enzymes.
From Low-Level Features to High-Level Semantics: Are We Bridging the Gap?

Summary form only given. The performance of a content-based information retrieval (CBIR) system is very subjective and hence user-dependent. To the user, similarity between objects in the database is often high-level and semantic. However, features extracted from objects directly in their digital representations are often low-level features. The gap between low-level features and high-level semantics has been the major obstacle to better retrieval performance. In this talk, we outline several approaches to bridging the gap between low-level features and high-level semantics, including hidden annotation and relevance feedback. We present a few specific techniques: active learning, annotation propagation, feature space warping, and semantic metric linking, all aiming at propagating the semantics from some objects to the others.
Polyoptimal Multiperiodic Control of Complex Systems with Inventory Couplings Via the Ideal Point Evolutionary Algorithm

The paper is devoted to the polyoptimal control of a complex system with inventory couplings, which transfer the by-products of some subsystems to other subsystems as their input components or energy carriers. The cooperation of the subsystems on the recycling may enhance desired ecological features of complex production processes reducing the waste stream endangering the natural environment. The consideration of such systems is connected with the tendency of the rearrangement of complex industrial production systems from an open loop form with many waste products to a closed loop form guaranteeing their beneficial utilization (Ignatenko et al., 2007; Salmiaton & Garforth, 2007; Tan et al., 2008; Tatara et al., 2007; Yi & Luyben, 1996). The networks of interconnected chemical or biochemical reactors can be mentioned as the examples of systems discussed (Diaconescu et al., 2002; Russo et al., 2006; Smith &Waltman, 1995). The recycling problem is analyzed for various operationmodes of the networks. Because of the flexible couplings the subsystems have high autonomy degree and can be operated in their own mode. In particular the following three nested operation kinds of the flexibly coupled network can be distinguished (Skowron & Styczen, 2009): the steady state process (the low intensity production process), the periodic process (the increased intensity production process with the same operation period for all subsystems), and the multiperiodic process (the high intensity production process with different operation periods for the subsystems adjusted to their particular dynamic properties).
Robust Face Detection using Convolutional Neural Network

Faces epitomize multifaceted dimensional meaningful visual stimuli which is a challenge for face detectors in detecting faces which is not in perfect conditions, a situation which happens often than not in real life, hence difficult developing a model for its recognition computationally. In this study, recognition rate, classification performance, estimation rate and preprocessing, and execution time of facial detection systems are improved. This is supported by the implementation of varied approaches. The face detection aspect is handled by the adaptation of Viola Jones descriptor and down-sampled by the Bessel transform which reduces feature extraction space to augment processing time. Gabor feature extractions were passed afterwards to extract thousands of facial features representing various facial deformation patterns. A deep convolutionary based Ada-boost hypothesis is carried out to select a few out of the many neurons features extracted to augment classification which are later fed into the classifier through a back-propagation algorithm. The convolutional neural network (CNN) make available for partial invariance to translation, rotation, scale, and deformation which extracts uninterruptedly larger features in a hierarchical set of layers. The results of the proposed
Designing masking fault-tolerance via nonmasking fault-tolerance

Masking fault-tolerance guarantees that programs continually satisfy their specification in the presence of faults. By way of contrast, nonmasking fault-tolerance does not guarantee as much: it merely guarantees that when faults stop occurring, program executions converge to states from where programs continually (re)satisfy their specification. In this paper, we show that a practical method to design masking fault-tolerance is to first design nonmasking fault-tolerance and to then transform the nonmasking fault-tolerant program minimally so as to achieve masking fault-tolerance. We demonstrate this method by designing novel fully distributed programs for termination detection, mutual exclusion, and leader election, that are masking tolerant of any finite number of process fail-stops and/or repairs.
Breaking the Resource Bottleneck for Multilingual Parsing

Abstract : We propose a framework that enables the acquisition of annotation-heavy resources such as syntactic dependency tree corpora for low-resource languages by importing linguistic annotations from high-quality English resources. We present a large-scale experiment showing that Chinese dependency trees can be induced by using an English parser, a word alignment package, and a large corpus of sentence-aligned bilingual text. As a part of the experiment, we evaluate the quality of a Chinese parser trained on the induced dependency treebank. We find that a parser trained in this manner out-performs some simple baselines inspite of the noise in the induced treebank. The results suggest that projecting syntactic structures from English is a viable option for acquiring annotated syntactic structures quickly and cheaply. We expect the quality of the induced treebank to improve when more sophisticated filtering and error-correction techniques are applied.
“In-bone” Utricle Cultures—A Simplified, Atraumatic Technique for In Situ Cultures of the Adult Mouse (Mus musculus) Utricle

Hypothesis The “in-bone” method of culturing utricles described here is a reliable and atraumatic technique for culturing mature mouse hair cells and studying hair cell death and protection. Background The current in vitro technique for studying hair cells of the mature mouse utricle involves removal from the temporal bone and free floating culture in media. This technique can be problematic because of variability in the preservation of the sensory epithelium and a steep learning curve that results in injury of the sensory epithelium in less experienced hands. We present a new atraumatic technique of culturing the utricle in situ within the temporal bone. Methods Leaving the temporal bone largely intact, a window is opened in the bony vestibule overlying the mouse utricle. The entire temporal bone is then placed into culture media. Utricles were cultured in situ for several days with minimal damage to the epithelium. The utricles are then fixed in situ, removed from the temporal bone, and processed. A standardized aminoglycoside-induced hair cell damage protocol was developed. Results Mature mouse utricles maintained hair cell numbers for 3 days in culture. Exposure to neomycin resulted in significant dose-dependent hair cell toxicity (p < 0.0001, 1-way analysis of variance). Exposure to the protective drug tacrine resulted in significant protection against neomycin (p < 0.05, 3-way analysis of variance). Conclusion The “in-bone” technique is a reliable and atraumatic method for culturing mature mouse utricles and studying hair cell death and protection. It is easily mastered and can make in vitro study of hair cells accessible to more research groups.
On Multi-Behavior Based Multi-Colony Ant Algorithm for TSP

To avoid premature convergence and stagnation problems in classical ant colony system, a novel multi-behavior based multi-colony ant algorithm (MBMCAA) is proposed. The ant colony is divided into several sub-colonies; the sub-colonies have their own population evolved independently and in parallel according to four different behavior options, and update their local pheromone and global pheromone level respectively according to immigrant operator. This parallel and cooperating optimization scheme by using different behavioral characteristics and inter-colonies migration strategies can help the algorithm skip from local optimum effectively. The experimental results for TSP show the validity of this algorithm.
A randomized effectiveness trial of cognitive-behavioral therapy and medication for primary care panic disorder.

BACKGROUND Panic disorder is a prevalent, often disabling condition among patients in the primary care setting. Although numerous studies have assessed the effectiveness of treatments for depression in primary care, few such studies have been conducted for panic disorder. OBJECTIVE To implement and test the effectiveness of a combined pharmacotherapy and cognitive-behavioral intervention for panic disorder tailored to the primary care setting. DESIGN Randomized, controlled study comparing intervention to treatment as usual. SETTING Six primary care clinics associated with 3 university medical schools, serving an ethnically and socioeconomically diverse patient population. PARTICIPANTS Two hundred thirty-two primary care patients meeting DSM-IV criteria for panic disorder. Comorbid mental and physical disorders were permitted, provided these did not contraindicate the treatment to be provided and were not acutely life threatening. INTERVENTION Patients were randomized to receive either treatment as usual or an intervention consisting of a combination of up to 6 sessions (across 12 weeks) of cognitive-behavioral therapy (CBT) modified for the primary care setting, with up to 6 follow-up telephone contacts during the next 9 months, and algorithm-based pharmacotherapy provided by the primary care physician with guidance from a psychiatrist. Behavioral health specialists, the majority inexperienced in CBT for panic disorder, were trained to deliver the CBT and coordinated overall care, including pharmacotherapy. MAIN OUTCOMES MEASURES Proportion of subjects remitted (no panic attacks in the past month, minimal anticipatory anxiety, and agoraphobia subscale score <10 on Fear Questionnaire) and responding (Anxiety Sensitivity Index score <20) and change over time in World Health Organization Disability Scale and short form 12 scores. RESULTS The combined cognitive-behavioral and pharmacotherapeutic intervention resulted in sustained and gradually increasing improvement relative to treatment as usual, with significantly higher rates at all points of both the proportion of subjects remitted (3 months, 20% vs 12%; 12 months, 29% vs 16%) and responding (3 months, 46% vs 27%; 12 months, 63% vs 38%) and significantly greater improvements in World Health Organization Disability Scale (all points) and short form 12 mental health functioning (3 and 6 months) scores. These effects were obtained in spite of similar rates of delivery of guideline-concordant pharmacotherapy to the 2 groups. CONCLUSION Delivery of evidence-based CBT and medication using the collaborative care model and a CBT-naive, midlevel behavioral health specialist is feasible and significantly more effective than usual care for primary care panic disorder.