Miracle-dz/UniFAR-FTUs huggingface dataset:
Adaptation and mislocalization fields for saccadic outward adaptation in humans

Adaptive shortening of a saccade influences the metrics of other saccades within a spatial window around the adapted target. Within this adaptation field visual stimuli presented before an adapted saccade are mislocalized in proportion to the change of the saccade metric. We investigated the saccadic adaptation field and associated localization changes for saccade lengthening, or outward adaptation. We measured the adaptation field for two different saccade adaptations (14 deg to 20 deg and 20 deg to 26 deg) by testing transfer to 34 different target positions. We measured localization judgements by asking subjects to localize a probe flashed before saccade onset. The amount of adaptation transfer differed for different target locations. It increased with increases of the horizontal component of the saccade and remained largely constant with deviation of the vertical component of the saccade. Mislocalization of probes inside the adaptation field was correlated with the amount of adaptation of saccades to the probe location. These findings are consistent with the assumption that oculomotor space and perceptual space are linked to each other.
After mother is in a nursing home: What happens to adult children caregivers?

Factors that Contribute to Perceptions of Caregiver Depression • When using depressed mood as the criterion measure, the overall model was significant, F(8, 88) = 3.29, p < . 01. • In Step 3, higher perceptions of manipulation by mother (β = .28) predicted higher levels of depressed mood. • In Step 4, coordination of care items “My sibling relationship has suffered” (β = .23) as well as “I generally feel closer to my siblings” (β = -.25) predicted depressed mood.
Visually mediated valence effects in dialogue: an explorative study

This is an exploratory study investigating potential effects of emotional valence in images and their influence on conversation in the presence of the images. We used latent-semantic analysis to generalize valence ratings of Swedish words to a corpus of spoken conversations. Each utterance in the conversation was given a valence rating, which represented how emotionally positive or emotionally negative the utterance was. We found no effects that indicate that valenced images have an effect on conversations. However, we find that valenced images in general, and positive images in particular, were considered more helpful by the participants who engaged in the conversations. Additionally, we find no results that interlocutors align over time in their use of valenced language.
Semi-Markov kMeans Clustering and Activity Recognition from Body-Worn Sensors

Subsequence clustering aims to find patterns that appear repeatedly in time series data. We introduce a novel subsequence clustering technique that we call semi-Markov kmeans clustering. The clustering results in ideal examples of the repeating patterns and in labeled segmentations that can be used as training data for sophisticated discriminative methods like max-margin semi-Markov models. We are applying the new clustering technique to activity recognition from body-worn sensors by showing how it can enable a system to learn from data that is only annotated by an ordered list of activity types that have been undertaken. This kind of annotation, unlike a detailed segmentation of the sensor data, is easily provided by a non-expert user. We show that we can achieve equally good results using only an ordered list of activity types for training as when using a full detailed labeled segmentation.
Non-fragile robust optimal guaranteed cost control of uncertain 2-D discrete state-delayed systems

ABSTRACT This paper is concerned with the problem of non-fragile robust optimal guaranteed cost control for a class of uncertain two-dimensional (2-D) discrete state-delayed systems described by the general model with norm-bounded uncertainties. Our attention is focused on the design of non-fragile state feedback controllers such that the resulting closed-loop system is asymptotically stable and the closed-loop cost function value is not more than a specified upper bound for all admissible parameter uncertainties and controller gain variations. A sufficient condition for the existence of such controllers is established under the linear matrix inequality framework. Moreover, a convex optimisation problem is proposed to select a non-fragile robust optimal guaranteed cost controller stabilising the 2-D discrete state-delayed system as well as achieving the least guaranteed cost for the resulting closed-loop system. The proposed method is compared with the previously reported criterion. Finally, illustrative examples are given to show the potential of the proposed technique.
Traumatic brain injury alters the functional brain network mediating working memory

Primary objective: Investigation of the impact of traumatic brain injury (TBI) on the functional brain network that mediates working memory function. Research design: Functional magnetic resonance imaging (fMRI) during an n-back working memory task in nine chronic-stage patients with TBI and nine age-matched healthy controls. In addition to classical analyses investigating regional activity, the authors examined functional connectivity of the brain regions critical to working memory performance using psychophysiological interaction (PPI) analyses. Main outcomes and results: Patients with TBI made a greater percentage of errors than controls at high working memory load conditions. The fMRI data showed that the activation of the left inferior parietal gyrus (LIPG) was significantly reduced, whereas the activation of the right inferior frontal gyrus (RIFG) was significantly increased in patients compared with controls. Task performance accuracy was significantly associated with the activation of the LIPG in controls and the activation of the RIFG in patients. PPI analyses on fMRI data further suggested that the functional connectivity between the RIFG and LIPG was compromised in patients. Conclusion: The abnormal functional connectivity between LIPG and RIFG may underlie the observed working memory deficits and abnormal brain activation pattern in patients.
Remote magnetic navigation in atrial fibrillation

Atrial fibrillation (AF) is of profound public health importance and is largely a disease of aging and is responsible for increased morbidity- and mortality-related healthcare expenditures. Catheter ablation to isolate the pulmonary veins has become the therapy of choice for treatment of drug-refractory AF. Procedures can be very challenging and multiple difficulties must be overcome in order to achieve a successful outcome. The magnetic navigation system (MNS) has advantages in catheter maneuverability, stability and reproducibility. Due to the catheter design safety and efficacy of AF, ablation has increased. New developments are being made to allow fully remote ablation procedures in combination with the MNS. However, new technologies are still necessary to improve MNS ablation for AF.
The Impact of Societal Vulnerability and Violent Values on Self-Control in a Belgium Sample of Youth

The present study contributes to the study of self-control among adolescents by testing how self-control is affected by societal vulnerability and violent values and by investigating how (in)variant this relationship is for boys and girls. The Belgian International Self-Report Delinquency Study (ISRD-2) data were used to assess to what extent positive attitudes toward violence can be seen as mediators in the relationship between societal vulnerability and self-control. The findings suggest that violent values mediate the relationship between societal vulnerability and self-control. Despite results indicating higher self-control among females, when conducting the analyses separately by gender, we found that the relationship between societal vulnerability and self-control was very similar for boys and girls. It is concluded that societally vulnerable boys and girls are equally affected by the intermediate mechanism of violent values.
UML for the conceptual web

Purpose – The purpose of this paper is to propose the use of unified modelling language (UML) based ontologies to develop a faceted model to facilitate semantic browsing and searching in digital libraries.Design/methodology/approach – The approach is to understand the way information gets logically organised in the human mind in terms of mutually defined concepts. Ontologies will be used to model the semantic structure of individual information sources using the faceted classification schema of Dr S.R. Ranganathan, though with improvisation to accommodate new concepts relating to digital resources.Findings – UML can be the best option for knowledge representation if the target system is a digital library where the required type of reasoning about ontologies is more in terms of answering specific and specialised questions. Here, ontologies can be used to facilitate a distributed information retrieval system.Originality/value – The proposed model will not only facilitate semantic searching using UML concept.
Fast-moving target observation using high-frequency surface wave radar

The high-frequency (HF) surface wave radar system located at the coast is well-known as a tool for synoptic on-line mapping of sea surface current fields and the spatial distribution of the sea waves. Especially for oceanographic applications, low power HF radar systems have been developed, which use surface wave propagation along the salty sea surface. Such HF radar system brings area surveillance far beyond the conventional microwave radar coverage. Additional options for oceanographic radar applications can be vessel and aircraft monitoring above sea surface. This paper describes a new attempt in signal processing approach for detection of fast-moving targets in the radar observations based on a constant false-alarm-rate algorithm. The target locations detected by the HF radar are passed to a tracking filter using range and azimuth information to track the locations of fast-moving targets. A special short coherent integration time mode has been applied for processing real radar measurements. The tracking procedure is performed for fast-moving target observation using two monostatic HF radar systems located at the coast.
A Semantic Service Discovery Network for Large‐Scale Ubiquitous Computing Environments

This paper presents an efficient semantic service discovery scheme called UbiSearch for a large‐scale ubiquitous computing environment. A semantic service discovery network in the semantic vector space is proposed where services that are semantically close to each other are mapped to nearby positions so that the similar services are registered in a cluster of resolvers. Using this mapping technique, the search space for a query is efficiently confined within a minimized cluster region while maintaining high accuracy in comparison to the centralized scheme. The proposed semantic service discovery network provides a number of novel features to evenly distribute service indexes to the resolvers and reduce the number of resolvers to visit. Our simulation study shows that UbiSearch provides good semantic searchability as compared to the centralized indexing system. At the same time, it supports scalable semantic queries with low communication overhead, balanced load distribution among resolvers for service registration and query processing, and personalized semantic matching.
TransPath: A Computational Method to Study the Ion Transit Pathways in Membrane Channels

The finely tuned structures of membrane channels allow selective passage of ions through the available aqueous pores. In order to understand channel function, it is crucial to locate the pore and study its physical and chemical properties. Recently obtained X-ray crystal structures of bacterial chloride channel homologues reveal a complicated topology with curvilinear pores. The commonly used HOLE program encounters difficulties in studying such pores. Here we propose a new pore-searching algorithm (TransPath) which uses the Configurational Bias Monte Carlo (CBMC) method to generate transmembrane trajectories driven by both geometric and electrostatic features. The trajectories are binned into groups determined by a vector distance criterion. From each group, a representative trajectory is selected based on the Rosenbluth weight, and the geometrically optimal path is obtained by simulated annealing. Candidate ion pathways can then be determined by analysis of the radius and potential profiles. The proposed method and its implementation are illustrated using the bacterial KcsA potassium channel as an example. The procedure is then applied to the more complex structures of the bacterial E. coli ClC channel homologues.
Two-scale tone management for photographic look

We introduce a new approach to tone management for photographs. Whereas traditional tone-mapping operators target a neutral and faithful rendition of the input image, we explore pictorial looks by controlling visual qualities such as the tonal balance and the amount of detail. Our method is based on a two-scale non-linear decomposition of an image. We modify the different layers based on their histograms and introduce a technique that controls the spatial variation of detail. We introduce a Poisson correction that prevents potential gradient reversal and preserves detail. In addition to directly controlling the parameters, the user can transfer the look of a model photograph to the picture being edited.
Upper limb compliant strategy exploiting external physical constraints for humanoid fall avoidance

Ensuring humanoid balance stability to prevent falling is one of the most crucial control problems in humanoid robotics and has been extensively studied in the past, resulting in a diverse range of balance recovery schemes. These balancing control methods effectively perform body posture control using three main motion strategies, namely: ankle, ankle-hip and stepping strategies. In this work we present a novel balance strategy which fundamentally differs from the previous methods as its principle is to exploit contacts with the environment to prevent falling rather than only performing body posture control. An uncoupled impedance controller for the upper body of the humanoid robot is combined with a lower body stabilizer, and the balancing capabilities are enhanced by the establishment of additional physical contacts with the environment. The generation of the reactive arm motion and the impedance regulation are discussed in details. Experimental trials with the humanoid robot COMAN, provided with active and passive compliance, demonstrate the potential of the approach and the first step towards the development of more human-like balancing skills using an integrated approach where all body parts (not only legs but also arms and hands) can establish contacts with the surrounding environment so as to ensure a stable and balanced behavior.
Mobile telecommunications market innovation: the transformation from 2g to 3g

Current research focuses on the dynamics of mobile telecommunications market innovation from the perspectives of technology innovation or service adoption. However,because there is a mutual dependency between them, each perspective alone can only partly explain the pace and direction of change we currenly witness in this market. This research-in-progress combines them into one framework to pursue a holistic understanding of mobile telecommunications market innvoation. We examine the interrelated action and actor layers of the market change. In the action layer the market innovation is identified as composed by the infrastructure innovation and the adoption of innovation. The actor layer defines the social network comprised by providers, users and institutions. This framework allows us to find the mutual influence of infrastructure innovation and innovation adoption, and discloses how the mobile telecommunications market shapes and is shaped by actors in the social network. We use the systems of innovation approach, diffusion of innovation theory and institution theory to identify the roles of the actors involved in different stage of market innovation, and explain the motivation mechanisms for the actors. Based on the characteristics of our research, we draw upon hermeneutics to guide the research design. We aim to test the explanatory power of our framework by understanding the transition from 2G to 3G in Scandinavia.
Cross-layer Adaptive Transmission: Optimal Strategies in Fading Channels

We consider cross-layer adaptive transmission for a single-user system with stochastic data traffic and a time- varying wireless channel. The objective is to vary the transmit power and rate according to the buffer and channel conditions so that the system throughput, defined as the long-term average rate of successful data transmission, is maximized, subject to an average transmit power constraint. When adaptation is subject to a fixed bit error rate (BER) requirement, maximizing the system throughput is equivalent to minimizing packet loss due to buffer overflow. When the BER requirement is relaxed, maximizing the system throughput is equivalent to minimizing total packet loss due to buffer overflow and transmission errors. In both cases, we obtain optimal transmission policies through dynamic programming. We identify an interesting structural property of these optimal policies, i.e., for certain correlated fading channel models, the optimal transmit power and rate can increase when the channel gain decreases toward outage. This is in sharp contrast to the water-filling structure of policies that maximize the rate of transmission over fading channels. Numerical results are provided to support the theoretical development.
Hybrid shipping for inland navigation: Loss analysis of an aluminum direct-drive high performance 11,000Nm Permanent Magnet machine

Hybrid electric ship propulsions are becoming a leading/emerging area of research, prompting investigation in hybrid propulsion system design and demonstration of concept vessels. With respect to ship design and operation, minimizing costs associated with fuel consumption and maintenance are key objectives. As such, new, and existing, ships are subject to regulatory requirements, especially regarding emissions and energy efficiency. Hybrid electric propulsion is a promising approach in addressing these concerns. Particularly for inland vessels that require a high degree of manoeuvrability and are continuously travelling upstream and downstream. In this work, a Permanent Magnet propulsion motor with 350kW at 300rpm, hence around 11,000Nm, will be discussed. With this motor a quiet mode is available with reduced emission during electric cruising and dynamic positioning.
Characterization of the Pathway-Specific Positive Transcriptional Regulator for Actinorhodin Biosynthesis inStreptomyces coelicolor A3(2) as a DNA-Binding Protein

ABSTRACT The ActII-ORF4 protein has been characterized as a DNA-binding protein that positively regulates the transcription of the actinorhodin biosynthetic genes. The target regions for the ActII-ORF4 protein were located within the act cluster. These regions, at high copy number, generate a nonproducer strain by in vivo titration of the regulator. The mutant phenotype could be made to revert with extra copies of the wild-type actII-ORF4 gene but not with theactII-ORF4-177 mutant. His-tagged recombinant wild-type ActII-ORF4 and mutant ActII-ORF4-177 proteins were purified fromEscherichia coli cultures; both showed specific DNA-binding activity for the actVI-ORF1–ORFA andactIII-actI intergenic regions. DNase I footprinting assays clearly located the DNA-binding sites within the −35 regions of the corresponding promoters, showing the consensus sequence 5′-TCGAG-3′. Although both gene products (wild-type and mutant ActII-ORF4) showed DNA-binding activity, only the wild-type gene was capable of activating transcription of the actgenes; thus, two basic functions can be differentiated within the regulatory protein: a specific DNA-binding activity and a transcriptional activation of the act biosynthetic genes.
Energy efficient schemes for wireless sensor networks with multiple mobile base stations

One of the main design issues for a sensor network is conservation of the energy available at each sensor node. We propose to deploy multiple, mobile base stations to prolong the lifetime of the sensor network. We split the lifetime of the sensor network into equal periods of time known as rounds. Base stations are relocated at the start of a round. Our method uses an integer linear program to determine new locations for the base stations and a flow-based routing protocol to ensure energy efficient routing during each round. We propose four metrics and evaluate our solution using these metrics. Based on the simulation results we show that employing multiple, mobile base stations in accordance with the solution given by our schemes would significantly increase the lifetime of the sensor network.
Power by design

This article examines the role of royal architectural design in strategies to promote political order in the Kingdom of Dahomey, a major West African state which emerged in the era of the transAtlantic slave trade. Historical and ethnographic sources are marshaled to identify an underlying normative architectural tradition in Dahomean palace construction, a tradition defined by distinct zones devoted to public ritual and semi-public political negotiations. Analysis of the ground plans of six royal palace complexes from the precolonial city of Cana is then deployed to trace the evolution of the latter zone over the course of the eighteenth and nineteenth centuries. Qualitative and quantitative analysis of spatial patterns reveals an overall rise in the spatial complexity of, as well as a radical expansion in the control of movement through, royal palace complexes over time. This pattern, I argue, was part of broader material attempts to promulgate a sense of social and political order in a period defined by turbulence and unpredictability.
Comparing the function of the corticospinal system in different species: Organizational differences for motor specialization?

An appreciation of the comparative functions of the corticospinal tract is of direct relevance to the understanding of how results from animal models can advance knowledge of the human motor system and its disorders. Two critical functions of the corticospinal tract are discussed: first, the role of descending projections to the dorsal horn in the control of sensory afferent input, and second, the capacity of direct cortico‐motoneuronal projections to support voluntary execution of skilled hand and finger movements. We stress that there are some important differences in corticospinal projections from different cortical regions within a particular species and that these projections support different functions. Therefore, any differences in the organization of corticospinal projections across species may well reflect differences in their functional roles. Such differences most likely reflect features of the sensorimotor behavior that are characteristic of that species. Insights into corticospinal function in different animal models are of direct relevance to understanding the human motor system, providing they are interpreted in relation to the functions they underpin in a given model. Studies in non‐human primates will continue to be needed for understanding special features of the human motor system, including feed‐forward control of skilled hand movements. These movements are often particularly vulnerable to neurological disease, including stroke, cerebral palsy, movement disorders, spinal injury, and motor neuron disease. Muscle Nerve, 2005