Miracle-dz/UniFAR-FTUs huggingface dataset:
The autonomous city explorer project: aims and system overview

As robots are gradually leaving highly structured factory environments and moving into human populated environments, they need to possess more complex cognitive abilities. Not only do they have to operate efficiently and safely in natural populated environments, but also be able to achieve higher levels of cooperation and interaction with humans. The autonomous city explorer (ACE) project envisions to create a robot that will autonomously navigate in an unstructured urban environment and find its way through interaction with humans. To achieve this, research results from the fields of autonomous navigation, path planning, environment modeling, and human-robot interaction are combined. In this paper a novel hardware platform is introduced, a system overview is given, the research foci of ACE are highlighted, approaches to the occurring challenges are proposed and analyzed, and finally some first results are presented.
Hidden relationships discovery through high-level information fusion

We previously proposed an approach and a framework for high level information fusion that we extended in order to manage uncertain information. The fusion algorithm is graph-based and generic and can be parametrized in order to provide different fusion operations. In this paper, we use uncertain graph-based fusion in order to discover social knowledge from a network of information. We aim at discovering hidden relationships between persons within a social network community from a collection of heterogeneous data sets. We apply our approach on data sets provided by the 2014 VAST Challenge. Data is available regarding the working relationships between persons, but the private relationships that may exist between the actors of the scenario are not explicit. Using semantic information fusion, we show that clues about these private relationships can be discovered, and we give information about the certainty associated to the discovered knowledge.
Time Evolution of Cosmic-Ray Modified Plane Shocks

We have developed a novel computer code designed to follow the evolution of cosmic-ray modified shocks, including the full momentum dependence of the particles for a realistic diffusion coefficient model. In this form the problem is technically very difficult because one needs to cover a wide range of diffusive scales, beginning with those slightly larger than the physical shock thickness. With most finite difference schemes for Euler's equations, the numerical shock thickness is at least one zone across, so this provides a lower bound on the physical scale for diffusive transport computation. Our code uses subzone shock tracking and multilevel adaptive mesh refinement to provide enhanced spatial resolution around shocks at a modest cost compared to the coarse grid and vastly improved cost effectiveness compared to a uniform, highly refined grid. We present and discuss the implications from our initial results.
A coordinated cache data placement scheme for mobile ad hoc networks

The idea of sharing caches among neighboring nodes is an important technique to improve data access efficiency in mobile ad hoc networks. This paper introduces a new coordinated cache data placement scheme combined with cache replacement ideally suited for mobile host with limited memory. In particular, we propose a coordinated data placement scheme that eliminates redundant data stored in multiple neighboring nodes by assuring that a copy of the data will be present in the cooperate cache. We use the concept of cached object's eviction period to measure the contention of caches. The proposed cache data placement scheme based on eviction period reduces replication of data without any extra communication overhead. The simulation results show that the proposed scheme yields better performance in terms of cache hit ratio and average latency compared to independent cache data placement.
The Role of Immunogenic Adhesin Vibrio alginolyticus 49 k Da to Molecule Expression of Major Histocompatibility Complex on Receptors of Humpback Grouper Cromileptes altivelis

The purpose of research was to know the role of immunogenic protein of 49 kDa from V.alginolyticus which capable to initiate molecule expression of MHC Class II in receptor of Cromileptes altivelis. The method used was in vivo experimental research through testing of immunogenic protein 49 kDa from V.alginolyticus at Cromileptes altivelis (size of 250 300 grams) using 3 times booster by injecting an immunogenic protein in a intramuscular manner. Response of expressed MHC molecule was shown using immunocytochemistry method and SEM. Results indicated that adhesin V.alginolyticus 49 kDa which have immunogenic character could trigger expression of MHC class II on receptor of grouper and has been proven by staining using immunocytochemistry and SEM with labeling using antibody anti MHC (anti mouse). This visible expression based on binding between epitopes antigen and antibody anti MHC in the receptor. Using immunocytochemistry, intracellular response of MHC to in vivo induction of immunogenic adhesin from V.alginolyticus was shown. Keywords—C.altivelis, immunogenic, MHC, V.alginolyticus.
Acute inflammatory responses to high-intensity functional training programming: An observational study

Effects of varying types of short duration workouts in high-intensity functional training (HIFT) on inflammatory biomarkers have not been adequately characterized. Objectives: The purpose of this descriptive study was to examine the acute effects of HIFT workouts on biomarkers of inflammation, over time, in two HIFT bouts. Materials and Methods: Ten apparently healthy males (28.1 ± 5 yrs) completed two HIFT sessions (“short bout:” sub-5-minute vs. “long bout:” 15-minute) in a randomized crossover design. Blood was drawn pre and post-exercise, and 1 hour, 3 hours, and 6 hours post-exercise, centrifuged, and plasma frozen for analysis. Inflammation was assessed through plasma interleukin-6 (IL-6), interleukin-10 (IL-10), and tumour necrosis factor alpha (TNF-α). Results: Repeated measures ANOVA revealed a single trial-dependent difference (IL-6, p≤ 0.05), and while statistically significant, this difference may not be biologically significant. The biomarkers IL-6, IL-10, and TNF-α all follow a similar pattern of peaking post-exercise and returning to baseline within 6 hours in both trials. Conclusions: Both temporal responses and concentrations were similar in the short and long bout. A practical implication is that both bouts of a HIFT elicit certain specific physiologic inflammatory responses.
Multi-touch document folding: gesture models, fold directions and symmetries

For document visualization, folding techniques provide a focus-plus-context approach with fairly high legibility on flat sections. To enable richer interaction, we explore the design space of multi-touch document folding. We discuss several design considerations for simple modeless gesturing and compatibility with standard Drag and Pinch gestures. We categorize gesture models along the characteristics of Symmetric/Asymmetric and Serial/Parallel, which yields three gesture models. We built a prototype document workspace application that integrates folding and standard gestures, and a system for testing the gesture models. A user study was conducted to compare the three models and to analyze the factors of fold direction, target symmetry, and target tolerance in user performance when folding a document to a specific shape. Our results indicate that all three factors were significant for task times, and parallelism was greater for symmetric targets.
Robustness of space-time turbo codes

We consider the performance of a turbo code with 2 transmit antennas and 2 receive antennas for flat fading channels. We consider robustness within and among families of channels with the same singular values (SVs). When the two SVs are similar, the bit error rate performance is robust in terms of proximity to the channel capacity. When the 2 SVs differ significantly, robust performance can be achieved by a time-varying linear transformation (TVLT). Iterative decoding is the same as for standard parallel concatenated convolutional codes, except that the extrinsic information about encoder outputs are also exchanged.
Exome Sequencing Identifies ZNF644 Mutations in High Myopia

Myopia is the most common ocular disorder worldwide, and high myopia in particular is one of the leading causes of blindness. Genetic factors play a critical role in the development of myopia, especially high myopia. Recently, the exome sequencing approach has been successfully used for the disease gene identification of Mendelian disorders. Here we show a successful application of exome sequencing to identify a gene for an autosomal dominant disorder, and we have identified a gene potentially responsible for high myopia in a monogenic form. We captured exomes of two affected individuals from a Han Chinese family with high myopia and performed sequencing analysis by a second-generation sequencer with a mean coverage of 30× and sufficient depth to call variants at ∼97% of each targeted exome. The shared genetic variants of these two affected individuals in the family being studied were filtered against the 1000 Genomes Project and the dbSNP131 database. A mutation A672G in zinc finger protein 644 isoform 1 (ZNF644) was identified as being related to the phenotype of this family. After we performed sequencing analysis of the exons in the ZNF644 gene in 300 sporadic cases of high myopia, we identified an additional five mutations (I587V, R680G, C699Y, 3′UTR+12 C>G, and 3′UTR+592 G>A) in 11 different patients. All these mutations were absent in 600 normal controls. The ZNF644 gene was expressed in human retinal and retinal pigment epithelium (RPE). Given that ZNF644 is predicted to be a transcription factor that may regulate genes involved in eye development, mutation may cause the axial elongation of eyeball found in high myopia patients. Our results suggest that ZNF644 might be a causal gene for high myopia in a monogenic form.
Kinetic tiles

We propose and demonstrate Kinetic Tiles, modular construction units for kinetic animations. Three different design methods are explored and evaluated for kinetic animation with the Kinetic Tiles using preset movements, design via animation toolkit, and design via direct input. It is expected that the Kinetic Tiles, as a new design and architecture material, will assist designers to introduce kinetic expressions to the surfaces of everyday objects and spaces.
The Genome Rearrangement Distance Problem Using Fusion, Fission, and Transpositions with Arbitrary Weights

Recently we have shown that given two multi-chromossomal ge nomes it is easy to compute the minimum weight series of fusions, fissions, and tran spositions needed to transform one genome into the other, when the weight associated to transpo sitions is twice as large as that associated to fusions and fissions [17]. In this work we prese nt veral results on the computation of distance when an arbitrary weight is associated to tr anspositions. Some variations of the problem are also studied. For instance we present a polynomi al ti e algorithm for the problem of syntenic distance when only the events of fusions and fissi on are admitted.
Channel Allocation Algorithms for Wireless Local Loops: Past Studies and Future Directions

A wireless local loop connects customer premise equipment to the local exchange on the public switched telephone network using radio signals. Compared to wireline local loops, wireless local loops are easier to deploy and less costly to maintain. One of the most important considerations in deploying wireless local loops is to determine the best channel allocation algorithm. This paper provides an overview of channel allocation algorithms for wireless local loops, reviews previous related studies, and recommends several future research directions. The algorithm overview and research review can help IS researchers and IS practitioners gain a solid understanding of the channel allocation algorithms. The research directions can serve to guide interested IS researchers in future research.
USP45 deubiquitylase controls ERCC1–XPF endonuclease-mediated DNA damage responses

Reversible protein ubiquitylation plays important roles in various processes including DNA repair. Here, we identify the deubiquitylase USP45 as a critical DNA repair regulator. USP45 associates with ERCC1, a subunit of the DNA repair endonuclease XPF–ERCC1, via a short acidic motif outside of the USP45 catalytic domain. Wild‐type USP45, but not a USP45 mutant defective in ERCC1 binding, efficiently deubiquitylates ERCC1 in vitro, and the levels of ubiquitylated ERCC1 are markedly enhanced in USP45 knockout cells. Cells lacking USP45 are hypersensitive specifically to UV irradiation and DNA interstrand cross‐links, similar to cells lacking ERCC1. Furthermore, the repair of UV‐induced DNA damage is markedly reduced in USP45‐deficient cells. ERCC1 translocation to DNA damage‐induced subnuclear foci is markedly impaired in USP45 knockout cells, possibly accounting for defective DNA repair. Finally, USP45 localises to sites of DNA damage in a manner dependent on its deubiquitylase activity, but independent of its ability to bind ERCC1–XPF. Together, these results establish USP45 as a new regulator of XPF–ERCC1 crucial for efficient DNA repair.
The Multi-layer Spherical Helix Curve-Based 3-D Fourier Feature

This paper proposes an extended 3-D shape retrieval feature, which is based on a new scheme. In our method, continuous principal component analysis is used to align 3-D models into a canonical position. We then represent 3-D polygonal mesh as a 3-D multi-layer closed curve. It can capture the more feature of the 3-D models. The feature of the 3-D model is extracted from the 3-D closed curve by the Fourier transform. And the experiments show it is more efficient.
THE TURKISH VERSION OF THE CARER’S ASSESSMENT OF SATISFACTION INDEX (CASI-TR): ITS VALIDATION AND RELIABILITY

Purpose: Caregivers of patients with chronic diseases could experience positive as well as negative feelings as a result of caregiving. Although there are assessment tools in the literature that are used to measure the satisfaction received from caregiving, which is one of the positive feelings experienced by caregivers, there was no tool that assessed caregiver satisfaction in Turkey. This study aimed to evaluate the reliability and validity of the Turkish version of the Carer’s Assessment of Satisfaction Index (CASI). Methods: The sample included 300 caregivers. Data were collected using a demographic questionnaire and the CASI. The Cronbach's alpha value was calculated and a corrected item-total correlation and a test-retest reliability analysis were performed for reliability. Descriptive factor analyses were used to evaluate the construct validity. The forward and back-translation method was used for the linguistic validity. The retest was performed with 60 caregiving individuals. Results: The caregivers’ mean age was 49.23±13.71 years, and 76.7% were females. Their duration of caregiving was 51.99±6.33 months. The Cronbach’s alpha value calculated for the CASI was 0.949. Factor analysis revealed that three factors accounted for 57.67% of the total variance, with an Eigenvalue above 1. Conclusion: The Turkish version of CASI is found to be reliable and valid for assessing caregiver satisfaction. We find the CASI to be a useful tool that could be utilized readily by all healthcare personnel to assess caregiver satisfaction.
Pharmacological studies of anti-diarrhoeal activity of Guettarda speciosa (L.) in experimental animals.

Aims: The purpose of the present study was to evaluate scientifically the anti-diarrhoeal effects of ethanolic (90%) extract of inner bark of Guettarda speciosa. Linn (EEGS) was studied against castor oil-induced-diarrhoea model in rats. Methods: Antidiarrhoeal activity of 90% ethanol extract of Guettarda speciosa was investigated in this study using castor oil-induced-diarrhoea, enteropooling and Small intestinal transit models in rats. The weight and volume of intestinal content induced by castor oil were studied by enteropooling method. Results: Standard drug diphenoxylate (5 ml/kg, p.o) was significant reductions in fecal output and frequency of droppings whereas EEGS at the doses of 200 and 400 mg/kg p.o significantly (P<0.001) reduced the castor-oil induced frequency and consistency of diarrhoea and enteropooling. The gastrointestinal transit rate was expressed as the percentage of the longest distance travelled by the charcoal divided by the total length of the small intestine. EEGS at the doses of 200 and 400 mg/kg significantly inhibited (P<0.001) the castor oil induced charcoal meal transit. Conclusion: The EEGS showed marked reduction in the number of diarrhoea stools and the reduction in the weight and volume of the intestinal contents, as well as a modest reduction in intestinal transit. The results obtained establish the efficacy and substantiate the folklore claim as an anti- diarrheal agent. Further studies are needed to completely understand the mechanism of anti-diarrhoeal action of Guettarda speciosa.
Understanding Social Networks From a Multiagent Perspective

Social networks have recently been widely explored in many fields; these networks are composed of a set of autonomous social actors and the interaction relations among them. Multiagent computing has already been widely envisioned to be a powerful paradigm for modeling autonomous multientity systems; therefore, it is promising to connect the research on social networks and multiagent systems. In general, there are three views for research on social networks: the structure-oriented view, in which only the network structure characteristics among actors are considered, the actor-oriented view, in which only the behavior characteristics of actors are considered, and the actor-structure crossing view, in which both actors and network structures are considered and their crossing effects are explored. This survey paper mainly concerns studies on social networks that have the last two views and discusses the relationship between social networks and multiagent systems. Because coordination is critical for both multiagent systems and social networks, this paper classifies studies on social networks that are based on the coordination mechanisms among the actors in the social networks. By referring to typical types of coordination situations in multiagent systems, social networks in previous studies can be classified into three classes: cooperative social networks, noncooperative social networks, and multiple social networks; for each class, this paper reviews the existing studies and discusses the challenge issues and possible future research directions. From this survey, we find that social networks can be understood well via a multiagent coordination perspective and also that many multiagent coordination techniques can be cogently applied in research on social networks. Moreover, this paper discusses the advantages and disadvantages of the multiagent coordination perspective by comparing with other perspectives on studying social networks.
DNN speaker adaptation using parameterised sigmoid and ReLU hidden activation functions

This paper investigates the use of parameterised sigmoid and rectified linear unit (ReLU) hidden activation functions in deep neural network (DNN) speaker adaptation. The sigmoid and ReLU parameterisation schemes from a previous study for speaker independent (SI) training are used. An adaptive linear factor associated with each sigmoid or ReLU hidden unit is used to scale the unit output value and create a speaker dependent (SD) model. Hence, DNN adaptation becomes re-weighting the importance of different hidden units for every speaker. This adaptation scheme is applied to both hybrid DNN acoustic modelling and DNN-based bottleneck (BN) feature extraction. Experiments using multi-genre British English television broadcast data show that the technique is effective in both directly adapting DNN acoustic models and the BN features, and combines well with other DNN adaptation techniques. Reductions in word error rate are consistently obtained using parameterised sigmoid and ReLU activation function for multiple hidden layer adaptation.
Capacity Analysis for Correlated MISO Channels in the Presence of Correlated Interference and Noise

Exact and general analysis of the capacity for multiple-input single-output (MISO) correlated Rayleigh fading channels in the presence of both correlated Rayleigh co-channel interference and additive Gaussian noise is not available in the literature, although its counterpart with Gaussian noise alone has been thoroughly investigated. The difficulty arises from the quadratic form of interference term. In this paper, we obtain exact solutions to the ergodic capacity for MISO systems with and without channel state information (CSI) at the transmitter. Numerical results are also presented for illustration.
Chapter 1 Emergence , Intrinsic Structure of Information , and Agenthood

Emergence is a central organizing concept for the understanding of complex systems. Under the manifold mathematical notions that have been introduced to characterize emergence, the information-theoretic are of particular interest since they provide a quantitative and transparent approach and generalize beyond the immediate scope at hand. We discuss approaches to characterize emergence using information theory via the intrinsic temporal or compositional structure of the information dynamics of a system. This approach is devoid of any external constraints and purely a property of the information dynamics itself. We then briefly discuss how emergence naturally connects to the concept of agenthood which has been recently defined using information flows.
Pipelined array multiplier based on quantum-dot cellular automata

This paper describes the design of a pipelined parallel array multiplier on quantum-dot cellular automata (QCA) nanotechnology, which promises very dense circuits and high operating frequencies with a single homogeneous layer of the basic cells. Recently formulated design principles enable us to construct a massive systolic array, which operates reliably without the noise coupling problems disturbing previous designs, verified with the QCADesigner coherence vector simulation. The performance of the pipelined array multiplier is superior to that of the previous serial-parallel multiplier proposal, although achieved by the ultimate performance-area tradeoff.
Performance Analysis of Single-source Shortest Path Algorithms on Distributed-memory Systems Thap

We consider the problem of single-source shortest path (SSSP) computation in a distributed setting, where a large sparse graph with non-negative edge weights is partitioned across the nodes of a parallel system. SSSP is a key computation arising in large-scale network analysis and a possible candidate for inclusion in the Graph500 benchmark. Work-efficient SSSP algorithms are based on Dijkstra’s algorithm [5]. However, there is limited concurrency to exploit in Dijkstra’s algorithm, as it belongs to the label-setting class of shortest path algorithms. Label-correcting algorithms relax the constraint that the vertex with minimum weight be picked at each step, and these algorithms do not use a priority queue. The Bellman-Ford algorithm [1] is an example of a label-correcting and is more amenable to parallelization, but it is not work-optimal for graphs with non-negative edge weights. The Delta-stepping [11] algorithm can be considered a hybrid approach combining Bellman-Ford and Dijkstra’s algorithm. Prior work has studied shared-memory [10] and distributed-memory [6, 7] implementations of Delta-stepping. There is one key parameter in this algorithm, ∆, whose setting determines the number of parallel phases, the work performed, the load-balance across multiple tasks in a parallel system, and hence the running time.