Miracle-dz/UniFAR-FTUs huggingface dataset:
The Spatio-temporal Dynamics of Systemic Thinking

We argue that a radical departure from the classical information-processing model is untenable because higher-level cognition is fundamentally representation-based. However, we also argue that classical accounts of thinking put too great an emphasis on the role of internal representations and mental processing. Manuscript accepted for publication in Cybernetics & Human Knowing available at https://www.ingentaconnect. com/content/imp/chk/2014/00000021/F0020001/art00009. This article may not exactly replicate the final version published in the journal. It is not the copy of the record.
A 1.4-µW 24.9-ppm/°C Current Reference With Process-Insensitive Temperature Compensation in 0.18-µm CMOS

This paper presents a trim-free low-voltage and low-power CMOS current reference which achieves high current stability to temperature variation. In order to achieve process-insensitive temperature compensation, the proposed circuit employs ratio between the process-independent temperature coefficients of resistor and compensation voltage. The proposed current reference is implemented in 0.18-μm CMOS technology and consumes 1.4 μW from a 1-V supply. It achieves temperature coefficient of 24.9 ppm/°C with 0 °C to 100 °C of temperature variation without trimming, which is the lowest among the recently reported CMOS current references.
Performance and information pattern trade-offs in a consensus based distributed optimization method

In this paper, aspects of a consensus based distributed optimization method are studied. The method is applied to approximate the solution of a multi-variate Linear-Quadratic (LQ) optimal control problem via distributed decision makers. The decision makers are constrained in terms of the pattern of local computation and information exchange, as a mechanism for managing the corresponding overheads. Feasibility (i.e., constraints satisfaction by the approximated solutions), convergence, and optimality of the method are proved. Convergence to the solution of finite horizon LQ optimal control problem is illustrated for a system with six interacting linear time invariant subsystems. For this system, trade-offs between approximation error (i.e. performance loss relative to the optimal solution) and the patterns used to constrain information exchange and computation, are also illustrated.
Just Change the Channel? Studying Effects of Age on Emotion Regulation Using a TV Watching Paradigm

Older adults are theorized to benefit from proactive forms of emotion regulation that allow them to avoid negative stimuli. To test this, we examined choices as a form of emotion regulation. In two studies investigating age differences, participants selected affective stimuli using a cable television interface, while choices and mood were recorded. In lab-based Study 1, older adults spent more time watching neutral channels, but younger adults spent more time watching positive ones. Older adults also watched more low-arousal content, while younger adults watched more high-arousal content. Lagged analyses revealed that younger adults’ choices were directed toward increasing positive affect and arousal. Study 2 replicated these findings in a community-based adult life span sample at a local museum. These findings suggest that arousal plays an important role in motivating emotion regulation behavior in the context of selections, and this differs by age.
Overexpression of the Arabidopsis 10-Kilodalton Acyl-Coenzyme A-Binding Protein ACBP6 Enhances Freezing Tolerance1[OA]

Small 10-kD acyl-coenzyme A-binding proteins (ACBPs) are highly conserved proteins that are prevalent in eukaryotes. In Arabidopsis (Arabidopsis thaliana), other than the 10-kD ACBP homolog (designated Arabidopsis ACBP6), there are five larger forms of ACBPs ranging from 37.5 to 73.1 kD. In this study, the cytosolic subcellular localization of Arabidopsis ACBP6 was confirmed by analyses of transgenic Arabidopsis expressing autofluorescence-tagged ACBP6 and western-blot analysis of subcellular fractions using ACBP6-specific antibodies. The expression of Arabidopsis ACBP6 was noticeably induced at 48 h after 4°C treatment by northern-blot analysis and western-blot analysis. Furthermore, an acbp6 T-DNA insertional mutant that lacked ACBP6 mRNA and protein displayed increased sensitivity to freezing temperature (−8°C), while ACBP6-overexpressing transgenic Arabidopsis plants were conferred enhanced freezing tolerance. Northern-blot analysis indicated that ACBP6-associated freezing tolerance was not dependent on the induction of cold-regulated COLD-RESPONSIVE gene expression. Instead, ACBP6 overexpressors showed increased expression of mRNA encoding phospholipase Dδ. Lipid profiling analyses of rosettes from cold-acclimated, freezing-treated (−8°C) transgenic Arabidopsis plants overexpressing ACBP6 showed a decline in phosphatidylcholine (−36% and −46%) and an elevation of phosphatidic acid (73% and 67%) in comparison with wild-type plants. From our comparison, the gain in freezing tolerance in ACBP6 overexpressors that was accompanied by decreases in phosphatidylcholine and an accumulation of phosphatidic acid is consistent with previous findings on phospholipase Dδ-overexpressing transgenic Arabidopsis. In vitro filter-binding assays indicating that histidine-tagged ACBP6 binds phosphatidylcholine, but not phosphatidic acid or lysophosphatidylcholine, further imply a role for ACBP6 in phospholipid metabolism in Arabidopsis, including the possibility of ACBP6 in the cytosolic trafficking of phosphatidylcholine.
A State-of-the-Art Survey on Software Merging

Software merging is an essential aspect of the maintenance and evolution of large-scale software systems. This paper provides a comprehensive survey and analysis of available merge approaches. Over the years, a wide variety of different merge techniques has been proposed. While initial techniques were purely based on textual merging, more powerful approaches also take the syntax and semantics of the software into account. There is a tendency towards operation-based merging because of its increased expressiveness. Another tendency is to try to define merge techniques that are as general, accurate, scalable, and customizable as possible, so that they can be used in any phase in the software life-cycle and detect as many conflicts as possible. After comparing the possible merge techniques, we suggest a number of important open problems and future research directions.
Pathogenesis of Streptoverticillium albireticuli on Caenorhabditis elegans and its antagonism to soil‐borne fungal pathogens

Aims: To examine the biological activity of Streptoverticillium albireticuli. Methods: Isolation of S. albireticuli was carried out using the dry‐heat technique. Nematicidal and pathogenic activity on Caenorhabditis elegans was measured by mortality in metabolites and colonization rate on fishmeal extract agar. Antifungal and enzymatic activities of S. albireticuli were measured by the agar plate method and the semidefined solid media method, respectively. Results: S. albireticuli showed strong nematicidal activity against C. elegans . Pathogenic activity was also evident with the colonized nematode by the isolate on fishmeal extract agar. It also showed antifungal activity against certain fungal pathogens such as Rhizoctonia solani , Phytophthora cinnamomi and Fusarium oxysporum . Significance and Impact of the Study: The discovery of an actinomycete showing pathogenic activity against the nematode may indicate the potential for it to be used as a biocontrol agent of parasitic nematodes, in addition to its ability to suppress fungal pathogens.
A new algorithm for computing Groebner bases

The paper presents a simple characterization for so-called strong Gröbner bases which contains Gröbner bases for both ideals and the corresponding syzygy modules (for the given generators of the ideals). This characterization can detect useless S-polynomials without reductions, thus yields an efficient algorithm for computing strong Gröbner bases. Rigorous proofs are given for the correctness and finite termination of this algorithm. For any term order for an ideal, one may vary signature orders (i.e. the term orders for the syzygy module). It is shown by computer experiments on benchmark examples that signature orders based on weighted degree are much better than other signature orders. This is useful for practical computation. Also, since computing Gröbner bases for syzygies is a main computational task for free resolutions in commutative algebra, the algorithm of this paper should be useful for computing free resolutions in practice.
G Protein-coupled Receptor Kinase 2-mediated Phosphorylation of Downstream Regulatory Element Antagonist Modulator Regulates Membrane Trafficking of Kv4.2 Potassium Channel*

Downstream regulatory element antagonist modulator (DREAM)/potassium channel interacting protein (KChIP3) is a multifunctional protein of the neuronal calcium sensor subfamily of Ca2+-binding proteins with specific roles in different cell compartments. In the nucleus, DREAM acts as a Ca2+-dependent transcriptional repressor, and outside the nucleus DREAM interacts with Kv4 potassium channels, regulating their trafficking to the cell membrane and their gating properties. In this study we characterized the interaction of DREAM with GRK6 and GRK2, members of the G protein-coupled receptor kinase family of proteins, and their phosphorylation of DREAM. Ser-95 was identified as the site phosphorylated by GRK2. This phosphorylation did not modify the repressor activity of DREAM. Mutation of Ser-95 to aspartic acid, however, blocked DREAM-mediated membrane expression of the Kv4.2 potassium channel without affecting channel tetramerization. Treatment with the calcineurin inhibitors FK506 and cyclosporin A also blocked DREAM-mediated Kv4.2 channel trafficking and calcineurin de-phosphorylated GRK2-phosphorylated DREAM in vitro. Our results indicate that these two Ca2+-dependent posttranslational events regulate the activity of DREAM on Kv4.2 channel function.
Semi-structured document extraction based on document element block model

A large number of documents related to its specific business are produced continually by enterprises and institutions in their daily work. To get useful information from these semi-structured documents we have proposed document element block model(DEBM) and applied it in the semi-structured document extraction. The model makes full use of the information contains in the document, not only the structural information, but also the content. DEBM extracts document element block from template documents and target documents, and then generate corresponding regular expression rules based on the document element block characteristic of template document, after that process each type of document elements of a set of blocks extracted document elements according to the corresponding elements block position by regular expression matching. The experiments show that extraction based on DEBM achieved good results and compared to traditional regular expressions and template matching, the approach based on DEBM performs better. The result shows that we propose a simple, efficient model to extract semi-structured documents.
Ubiquitous and Seamless Localization: Fusing GNSS Pseudoranges and WLAN Signal Strengths

Ubiquitous global positioning is not feasible by GNSS alone, as it lacks accurate position fixes in dense urban centres and indoors. Hybrid positioning methods have been developed to aid GNSS in those environments. Fingerprinting localization in wireless local area networks (WLANs) is a promising aiding system because of its availability, accuracy, and error mechanisms opposed to that of GNSS. This article presents a low-cost approach to ubiquitous, seamless positioning based on a particle filter integrating GNSS pseudoranges and WLAN received signal strength indicators (RSSIs). To achieve accurate location estimates indoors/outdoors and in the transition zones, appropriate likelihood functions are essential as they determine the influence of each sensor information on the position estimate. We model the spatial RSSI distributions with Gaussian processes and use these models to predict RSSIs at the particle’s positions to obtain point estimates of the RSSI likelihood function. The particle filter’s performance is assessed with real data of two test trajectories in an environment challenging for GNSS and WLAN fingerprinting localization. Outcomes of an extended Kalman filter using pseudoranges and a WLAN position as observation is included as benchmark. The proposed algorithm achieves accurate and robust seamless localization with a median accuracy of five meters.
Habitat Fragmentation and Interspecific Competition : Implications for Lynx Conservation

Habitat fragmentation and interspecific competition are two important forces that potentially affect lynx populations. Fragmentation operates by various mechanisms, including direct habitat loss, vehicle collisions and behavioral disturbance from roads, and changes in landscape features such as edges. Competition takes two forms: Exploitation competition involves potential competitors, such as coyotes and raptors, for food with lynx. Interference competition involves aggressive acts, almost always by a larger animal, that can include attacking and killing. Habitat fragmentation tends to facilitate competition by generalist predators, of which the most likely beneficiary is the coyote. Other potential interference competitors with lynx include cougars and bobcats. Of these three carnivores, all are more widespread and more abundant within the southern distribution of the lynx than 50 years ago.
Based on Inter-enterprise collaborative product innovation

Nowadays violent competitive environment, many enterprises are facing the pressure that the product life cycle is increasingly shorter. Enterprises must develop new products constantly and put them to market quickly to meet changing market needs, so enterprises can remain competitive and share market in the same industry. This article describes traditional product development model and organizational structure, and analyzes its drawbacks; product design chain is a collaborative design network, which consists of manufacturers, suppliers and customers. Enterprises must conduct changes for organizational structure, if they want to integrate the resources of the members of the design chain effectively, and give full play to the innovative advantages of design chain. This article also described the feasibility and necessity of product development organizational innovation in the design chain management mode by the transaction cost theory perspective, and proposed design chain should have characteristics of organizational structure.
Using the UK primary care Quality and Outcomes Framework to audit health care equity: preliminary data on diabetes management.

BACKGROUND The incentivization of UK primary care through the Quality and Outcomes Framework (QOF) has released an unprecedented supply of data that in theory could aid health equity audit and reduce health inequalities. The current system allows for 'exception reporting' whereby patients can be excluded from calculation of payment for reasons such as failure to attend review. We speculated that such exclusions could be linked to socioeconomic deprivation. METHODS We assessed 'exception reporting' rates for 15 diabetes indicators using 2004/05 QOF data for 49 general practitioner (GP) practices in Brighton and Hove and related it to a deprivation ranking for each practice. RESULTS The standardized diabetes prevalence was 26% higher (P < 0.001) in the highest compared to the lowest quintile of deprivation. Correlations between 'exception reporting' and deprivation were seen for 10 of the 15 diabetes indicators (r = 0.20-0.41, P < 0.05). Practices with a more deprived patient population were more likely to report 'exceptions' for QOF indicators, although there was no such relationship with the achievement of QOF targets. CONCLUSIONS Strategies to reduce health inequalities need to take into account that high levels of exception reporting, particularly in practices with deprived populations, may be disguising unmet need in those populations.
Ensemble-tight error exponents for mismatched decoders

This paper studies channel coding for discrete memoryless channels with a given (possibly suboptimal) decoding rule. Using upper and lower bounds on the random-coding error probability, the exponential behavior of three random-coding ensembles is characterized. The ensemble tightness of existing achievable error exponents is proven for the i.i. d. and constant-composition ensembles, and a new ensemble-tight error exponent is given for the cost-constrained i.i. d. ensemble. Connections are drawn between the ensembles under both mismatched decoding and maximum-likelihood decoding.
Long-term effects of contralesional rTMS in severe stroke: safety, cortical excitability, and relationship with transcallosal motor fibers.

BACKGROUND Contralesional hemispheric repetitive transcranial magnetic stimulation (rTMS) may improve motor function in mild to moderate stroke and effects are considered to be mediated through transcallosal motor fibers. OBJECTIVE This study aimed to investigate the safety of contralesional rTMS in a selected group of severe chronic stroke patients. METHODS Ten sessions of 1 Hz rTMS were applied to contralesional primary motor cortex (M1) using neuronavigated stimulation and changes in motor impairment were evaluated before, during and after rTMS applications and at 4-weeks follow-up. Neurophysiological response to stimulation was assessed through cortical excitability evaluations. The relationship between functional and neurophysiological response to rTMS and microstructural integrity of transcallosal motor fibers were searched using diffusion tensor imaging (DTI) based fractional anisotropy (FA). RESULTS rTMS was well-tolerated with high compliance and no dropouts; no seizures or motor worsening occurred. Transcallosal FA values revealed a positive linear relationship with the mild motor improvement detected after rTMS while higher FA values were observed in subjects with better motor outcome. Cortical excitability showed a significant change in contralesional short-interval intracortical inhibition indicating altered plasticity following rTMS. CONCLUSIONS Our results suggest that noninvasive neuromodulation of the contralesional hemisphere may present a possibility to assist adaptive neuroplastic changes in severe chronic stroke. Implementation of DTI-derived measures of transcallosal microstructural integrity may allow for individually-tailored interventions to guide processes of interhemispheric neuroplasticity. Further research is warranted to establish the clinical value of these findings in neurorehabilitation settings for subjects with chronic severe stroke.
Dissection of the Major Hematopoietic Quantitative Trait Locus in Chromosome 6q23.3 Identifies miR-3662 as a Player in Hematopoiesis and Acute Myeloid Leukemia.

UNLABELLED Chromosomal aberrations and multiple genome-wide association studies (GWAS) have established a major hematopoietic quantitative trait locus in chromosome 6q23.3. The locus comprises an active enhancer region, in which some of the associated SNPs alter transcription factor binding. We now identify miR-3662 as a new functional driver contributing to the associated phenotypes. The GWAS SNPs are strongly associated with higher miR-3662 expression. Genome editing of rs66650371, a three-base-pair deletion, suggests a functional link between the SNP genotype and the abundance of miR-3662. Increasing miR-3662's abundance increases colony formation in hematopoietic progenitor cells, particularly the erythroid lineage. In contrast, miR-3662 is not expressed in acute myeloid leukemia cells, and its overexpression has potent antileukemic effects in vitro and in vivo Mechanistically, miR-3662 directly targets NF-κB-mediated transcription. Thus, miR-3662 is a new player of the hematopoietic 6q23.3 locus. SIGNIFICANCE The characterization of miR-3662 has identified a new actor in the prominent hematopoietic quantitative trait locus in chromosome 6q23.3. The mechanistic insights into miR-3662's function may reveal novel or only partially known pathways for normal and malignant hematopoietic cell proliferation. Cancer Discov; 6(9); 1036-51. ©2016 AACR.This article is highlighted in the In This Issue feature, p. 932.
Cell–cell signal-dependent dynamic interactions between HD-GYP and GGDEF domain proteins mediate virulence in Xanthomonas campestris

RpfG is a paradigm for a class of widespread bacterial two-component regulators with a CheY-like receiver domain attached to a histidine-aspartic acid-glycine-tyrosine-proline (HD-GYP) cyclic di-GMP phosphodiesterase domain. In the plant pathogen Xanthomonas campestris pv. campestris (Xcc), a two-component system comprising RpfG and the complex sensor kinase RpfC is implicated in sensing and responding to the diffusible signaling factor (DSF), which is essential for cell–cell signaling. RpfF is involved in synthesizing DSF, and mutations of rpfF, rpfG, or rpfC lead to a coordinate reduction in the synthesis of virulence factors such as extracellular enzymes, biofilm structure, and motility. Using yeast two-hybrid analysis and fluorescence resonance energy transfer experiments in Xcc, we show that the physical interaction of RpfG with two proteins with diguanylate cyclase (GGDEF) domains controls a subset of RpfG-regulated virulence functions. RpfG interactions were abolished by alanine substitutions of the three residues of the conserved GYP motif in the HD-GYP domain. Changing the GYP motif or deletion of the two GGDEF-domain proteins reduced Xcc motility but not the synthesis of extracellular enzymes or biofilm formation. RpfG–GGDEF interactions are dynamic and depend on DSF signaling, being reduced in the rpfF mutant but restored by DSF addition. The results are consistent with a model in which DSF signal transduction controlling motility depends on a highly regulated, dynamic interaction of proteins that influence the localized expression of cyclic di-GMP.