Miracle-dz/UniFAR-FTUs huggingface dataset:
Unpacking Emotion Differentiation

Being able to carefully perceive and distinguish the rich complexity in emotional experiences is a key component of psychological interventions. We review research in clinical, social, and health psychology that offers insights into the adaptive value of putting feelings into words with a high degree of complexity (i.e., emotion differentiation or emotional granularity). According to recent research, upon experiencing intense distress, individuals who experience their emotions with more granularity are less likely to resort to maladaptive self-regulatory strategies such as binge drinking, aggression, and self-injurious behavior; show less neural reactivity to rejection; and experience less severe anxiety and depressive disorders. These findings shed light on how negative emotions and stressful experiences can be transformed by people’s emotion-differentiation skill. Besides basic research suggesting that emotion differentiation is an important developmental process, evidence suggests that interventions designed to improve emotion differentiation can both reduce psychological problems and increase various strands of well-being.
The Content of Secondary Metabolites and Antioxidant Activity of Wild Strawberry Fruit (Fragaria vesca L.)

Chemical analyses carried out in 2011–2013 aimed at evaluating the contents of flavonoids, free phenolic acids, tannins, anthocyanins, and antioxidant activity (%) by means of DPPH radical neutralization ability in fresh and air-dried fruits of three wild strawberry cultivars. Examinations revealed differences in contents of biologically active substances determined in raw versus dried material depending on the cultivar. Mean concentrations of flavonoids and tannins were highest in raw fruits of “Baron von Solemacher” cv. , which amounted to 1.244 mg·g−1 and 6.09%, respectively. Fresh fruits of “Regina” cv. were characterized by the highest average content of phenolic acids and anthocyanins: 4.987 mg·g−1 and 0.636 mg·100 g−1. The pattern of mean contents of biologically active substances analyzed in air-dried fruits was similar. Significant differences in abilities to neutralize the DPPH radical to diphenylpicrylhydrazine by extracts made of examined wild strawberry fruits were also indicated.
Adaptive Enterprise Architecture for the Future: Towards a Reconceptualization of EA

In some conventional definitions, Enterprise Architecture (EA) is conceived as a descriptive overview of the enterprise, while in other views EA is seen as a prescriptive framework of principles and models that helps translate business strategy to enterprise change. The conceptualizations of EA also vary in scope. There is an increasing recognition of EA as a systemic, enterprise-wide capability encompassing all relevant facets of the organization, transcending the traditional IT-centric view. However, we argue that none of the conventional conceptualizations of EA are adaptive in the face of today's complex environment. We view that an adaptive EA must go beyond a single organization and fully appreciate enterprise-in-environment ecosystemic perspective. Drawing on the heritage of Open Socio-Technical Systems Design and adopting the "three schools of thought" as a meta-paradigmatic backdrop, the paper features four different views of long-time scholar-practitioners, who discuss what an adaptive enterprise architecture would entail. Integration of these views paints a radically reconceptualized picture of enterprise architecture for the future. With this paper, we want to lay a foundation for a debate on the need for alternative conceptualizations, manifestations and research agenda for enterprise architecture.
Relations between divergence of multipliers and convergence to infeasible points in primal-dual interior methods for nonconvex nonlinear programming by Göran Sporre and Anders Forsgren Optimization and Systems Theory

Recently, infeasibility issues in interior methods for nonconvex nonlinear programming have been studied. In particular, it has been shown how many line-search interior methods may converge to an infeasible point which is on the boundary of the feasible region with respect to the inequality constraints. The convergence is such that the search direction does not tend to zero, but the step length does. Such “false” convergence may occur even for a fixed value of the barrier parameter. In this paper, two commonly used reformulations for handling infeasibility are studied. It is shown that when the above-mentioned convergence difficulty occurs, the multiplier search directions diverge along a direction that can be characterized in terms of the gradients of the equality constraints and the asymptotically active inequality constraints. Further, for a penalty-barrier interior method, similar convergence difficulties along with diverging multiplier search directions can occur when the penalty and barrier parameters are driven to zero. The divergence is motivated through an analysis of the penalty-barrier trajectory. Further, the direction of divergence is characterized.
A saliency-based rate control for people detection in video

Most of latest-generation multimedia systems are equipped with increasingly-effective object detection algorithms (e.g., intelligent video surveillance systems, augmented reality applications, sharing platforms for multimedia data, etc.). Unfortunately, images and video are usually available in compressed formats, which makes object detection more difficult because of the additional distortion noise. In this paper we show that it is possible to mitigate this problem by introducing a rate allocation algorithm that preserves important details for object identification algorithms. We propose a saliency map that identifies crucial elements for detectors. Then, we map saliency values to the value of the quantization parameter to be used by the video coder. Experimental results on HEVC coder show that the proposed rate control algorithm improves the accuracy with respect to the standard strategy.
FCFA: A semantic-based federated cloud framework architecture

Cloud Computing is a paradigm that applies a service model on infrastructures, platforms and software. In the last few years, this new idea has been showing its potentials and how, in the long run, it will affect Information Technology and the act of interfacing to computation and storage. This article introduces the FCFA project, a framework for an ontology-based resource life-cycle management and provisioning in a federated Cloud Computing infrastructure. Federated Clouds are presumably the first step toward a Cloud 2.0 scenario where different providers will be able to share their assets in order to create a free and open Cloud Computing marketplace. The contribution of this article is a redesign of a Cloud Computing infrastructure architecture from the ground-up, leveraging semantic web technologies and natively supporting a federated resource provisioning.
MinkApp: Generating Spatio-temporal Summaries for Nature Conservation Volunteers

We describe preliminary work on generating contextualized text for nature conservation volunteers. This Natural Language Generation (NLG) differs from other ways of describing spatio-temporal data, in that it deals with abstractions on data across large geographical spaces (total projected area 20,600 km2), as well as temporal trends across longer time frames (ranging from one week up to a year). We identify challenges at all stages of the classical NLG pipeline.
Peak performance: remote memory revisited

Many database systems share a need for large amounts of fast storage. However, economies of scale limit the utility of extending a single machine with an arbitrary amount of memory. The recent broad availability of the zero-copy data transfer protocol RDMA over low-latency and high-throughput network connections such as InfiniBand prompts us to revisit the long-proposed usage of memory provided by remote machines. In this paper, we present a solution to make use of remote memory without manipulation of the operating system, and investigate the impact on database performance.
ENVIRONMENTAL REGULATION IN VERTICALLY COORDINATED INDUSTRIES

Many notable pollution problems occur in industries where production is carried out under vertical coordination arrangements that are characterized by conditions of double moral hazard. In contrast to situations characterized by full information, we show that standard prescriptions of environmental economics do not apply. Imposing a Pigouvian tax equal to the marginal cost of pollution does not lead to the first best level of pollution. The equilibrium levels of production and pollution are not independent of which agent is taxed. Making either agent or the industry as a whole financially liable for full environmental damage at the margin similarly does not lead to a first best level of pollution. On the contrary, under conditions of double moral hazard, the industry should pay for less than the full cost of environmental damage. At present, only one agent (if any) is typically liable for environmental damage. We derive conditions under which imposing new regulations that make only one agent financially responsible for the full cost of environmental damage (as conventional wisdom in environmental policy suggests) is excessively stringent in that it results in pollution and production that are less than the first best levels. We also show that such new regulations could result in negatively correlated deviations of pollution and production from their first best levels, a situation that cannot arise under conditions of complete information.
SATyrus: a SAT-based neuro-symbolic architecture for constraint processing

This paper introduces SATyrus, a neuro-symbolic architecture oriented to optimization problem solving via mapping problems specification into sets of pseudo-Boolean constraints. SATyrus provides a logical declarative language used to specify and compile a target problem into a particular energy function representing its space state of solutions. The resulting energy function is then mapped into a higher-order Hopfield network of stochastic neurons in order to find its global minima. The application of SATyrus over three illustrative problems are given: (i) graph coloring, (ii) traveling salesperson problem (TSP), and (iii) calculus of the difference between observed and hypothesized distances of two atoms, a sub-problem of the determination of a molecular structure.
Broad Requirement for the Mediator Subunit RGR-1 for Transcription in the Caenorhabditis elegans Embryo*

The Mediator-related transcription co-factors integrate positive and negative inputs and recruit and activate the RNA polymerase II complex. To understand the role of Mediator during transcription, it is important to identify Mediator subunits that are essential for its functions. In the yeast Mediator, the conserved component Rgr1 is associated with multiple subunits that are required for specific activation or repression events. Yeast rgr1 is essential for viability, for certain repression mechanisms, and for activation of heat shock genes, but it is not known whetherrgr1 is generally important for transcription. Here we have performed the first analysis of rgr-1 function in a metazoan. We found that in the developing Caenorhabditis elegans embryo rgr-1 is broadly required for transcription and for phosphorylation of both Ser-2 and Ser-5 of the RNA polymerase II C-terminal domain repeat. We conclude that RGR-1 fulfills a critical Mediator function that is broadly essential for metazoan mRNA transcription and that RGR-1 may be required at an early recruitment or initiation step.
Innovation and market structure in the dynamics of the pharmaceutical industry and biotechnology: towards a history‐friendly model

This paper is a first attempt at modelling the long-term dynamics of market structure and innovation in the pharmaceutical industry in a history-friendly way. The model examines the relationships between the nature of the search space, demand, the patterns of competition, and industry evolution in the age of random screening and in the age of molecular biology, and shows that concentration in the pharmaceutical industry is shaped by lack of cumulativeness in innovative activities and market fragmentation. The model conforms to our appreciative understanding and responds to changes in parameters concerning demand, costs, economies of scale, opportunity conditions and the relative advantages of new biotechnology firms (NBFs) vis-ý-vis incumbents. With the exception of cost increases, the model is quite robust to these changes in its essential features: it is quite difficult to raise substantially concentration and to have NBFs displacing incumbents. Copyright 2002, Oxford University Press.
SUPER-REALISTIC RENDERING USING REAL-TIME TWEENING

The realism of contemporary computer graphics (and especially Virtual Reality {VR}) is limited by the great computational cost of rendering objects of appropriate complexity with convincing lighting and surface effects. We introduce a framework that allows rendering of objects in true photographic quality using tweening. The simple but effective design of our system allows us not only to perform the necessary operations in real-time on standard hardware, but also achieve other effects like morphing. Furthermore, it is shown how our system can be gainfully employed in non-VR contexts like extreme low-bandwidth video-conferencing and others.
Extended Bayesian scores for reconstructing gene regulatory networks

The discovery of regulatory networks is an important aspect in the post genomic research. We compared various scoring criteria in the context of structure learning in Bayesian networks. We show that adding a uniform node in-degree prior helps improve precision without deteriorate sensitivity for typical regulatory networks encountered in prokaryote and eukaryote organisms. Experiments are performed on simulated highly non-linear genetical genomics data. Taking into account specific biological information about DNA markers can further enhance the reconstruction process. We performed a large comparison with existing approaches of gene regulatory network inference. Our preliminary results show that the best approach exploits an extended normalized maximum likelihood score in the framework of discrete Bayesian networks.
Supporting Online Material Materials and Methods Som Text Figs. S1 to S3 References an Snp Caused Loss of Seed Shattering during Rice Domestication

(LSHG-CT-2005-005203). S.B. is a recipient of a Fondation pour la Recherche Medicale fellowship and an INSERM fellowship. K.Y. is a recipient of a Uehara Memorial Foundation fellowship and a Development grant from the Muscular Dystrophy Association. Loss of seed shattering was a key event in the domestication of major cereals. We revealed that the qSH1 gene, a major quantitative trait locus of seed shattering in rice, encodes a BEL1-type homeobox gene and demonstrated that a single-nucleotide polymorphism (SNP) in the 5 ¶ regulatory region of the qSH1 gene caused loss of seed shattering owing to the absence of abscission layer formation. Haplotype analysis and association analysis in various rice collections revealed that the SNP was highly associated with shattering among japonica subspecies of rice, implying that it was a target of artificial selection during rice domestication. C ultivation of major cereals likely started about 10,000 years ago (1–4). During this domestication, ancient humans subjected several key events to selection. These included increase in the number of seeds, improvement of fertility, change in plant architecture, change in seed shape, adaptation of flowering time to local areas, loss of seed color, and loss of seed shattering. Recent studies in rice have revealed that several independent domestication events might have occurred to establish cultivated rice (3, 5–7). The archaeological record reveals that japonica rice, a subspecies of Oryza sativa, was bred about 10,000 years ago in the upstream regions of the Yangtze River in southwest China (3, 8, 9). The loss of seed-shattering habit is thought to be one of the most important events in rice domestication, because the Beasy-to-shatter[ trait in wild relatives results in severe reduction in yield. Over the course of human history, distinct grain-threshing systems have been developed in several different eras in local areas of the world, in accordance with the degree of seed shattering. In current rice-breeding programs, this seed-shattering habit is still a target, especially in the construction of new indica (another subspecies of O. sativa) cultivars. Thus, seed-shattering habit is one of Fig. 1. qSH1 is required for formation of the abscission layer at the base of the rice grain. (A) Seed-shattering habits of rice panicles. Photos taken after grabbing rice panicles. (Left) Nonshattering-type cultivar, Nipponbare. (Right) Shattering-type cultivar, Kasalath, in which the seed has shattered. (B) Chromosomal locations of QTLs for seed-shattering degree, based on an F 2 population from a cross between Nipponbare …
Hierarchical Reinforcement Learning Approach for Motion Planning in Mobile Robotics

The motion planning task for a mobile robot aims to generate a free-collision path from an initial point to a target point. This task may be highly complex because it requires a complete knowledge of the robot's environment. In this paper an option-based hierarchical learning approach is proposed to this problem in which basic behaviors are applied in order to accomplish the robot motion planning task. Each behavior is independently learned by the robot in the learning phase. Afterward, the robot learns to coordinate these basic behaviors to resolve the motion planning task. The application of the learning approach is validated with robot motion planning tasks in simulation as well as in an experimental environment. The results show a solution to the motion planning problem that can be highly successful in new unknown environments.
Correction of sequencing errors in a mixed set of reads

MOTIVATION High-throughput sequencing technologies produce large sets of short reads that may contain errors. These sequencing errors make de novo assembly challenging. Error correction aims to reduce the error rate prior assembly. Many de novo sequencing projects use reads from several sequencing technologies to get the benefits of all used technologies and to alleviate their shortcomings. However, combining such a mixed set of reads is problematic as many tools are specific to one sequencing platform. The SOLiD sequencing platform is especially problematic in this regard because of the two base color coding of the reads. Therefore, new tools for working with mixed read sets are needed. RESULTS We present an error correction tool for correcting substitutions, insertions and deletions in a mixed set of reads produced by various sequencing platforms. We first develop a method for correcting reads from any sequencing technology producing base space reads such as the SOLEXA/Illumina and Roche/454 Life Sciences sequencing platforms. We then further refine the algorithm to correct the color space reads from the Applied Biosystems SOLiD sequencing platform together with normal base space reads. Our new tool is based on the SHREC program that is aimed at correcting SOLEXA/Illumina reads. Our experiments show that we can detect errors with 99% sensitivity and >98% specificity if the combined sequencing coverage of the sets is at least 12. We also show that the error rate of the reads is greatly reduced. AVAILABILITY The JAVA source code is freely available at http://www.cs.helsinki.fi/u/lmsalmel/hybrid-shrec/ CONTACT leena.salmela@cs.helsinki.fi
Data-Driven Text-to-Speech Synthesis

A flexible method of error coding uses at least two generating polynomials to provide different degrees of error protection and to optionally superimpose a phantom channel on a primary channel, without the need for explicit signaling from transmitter to receiver. An encoded message is CRC decoded on the receive side with at least two different generating polynomials. Based on the results of the twin decoding, the present method can determine which of the generating polynomials was used to encode the message and respond accordingly. For instance, if a particular generating polynomial was used, then this may indicate that a second channel has been superimposed onto the primary channel and that second channel may be extracted. On the other hand, if another generating polynomial, such as the default generating polynomial, was used, this may be used to indicate that no second channel has been superimposed. In some embodiments, the method may optionally be refined by adding additional steps to resolve potential ambiguities resulting from the use of a twin decoding scheme. In essence, the receiver deduces the transmitter's choice of CRC generating code, and thus the degree of redundancy and/or presence of the second channel, by analyzing the incoming bit stream rather than relying on explicit signaling information and, armed with that knowledge, responds accordingly.
Multi-tone analysis in nonlinear systems

The modern information technology designers are working to increase the performance of any system by reducing the effects of distortion through determining the type of the system first, and then reducing the distortion. Multi-tone analysis of nonlinear systems contributes to understand distortion and the mechanism through which distortion is introduced in communication signals. This paper illustrates the performance of Multi-tone in nonlinear systems.
Aging of the Somatosensory System: A Translational Perspective

Balance in the elderly population is a major concern given the often catastrophic and disabling consequences of fall-related injuries. Structural and functional declines of the somatosensory system occur with aging and potentially contribute to postural instability in older adults. The objectives of this article are: (1) to discuss the evidence regarding age-related anatomical and physiological changes that occur in the peripheral proprioceptive and cutaneous systems, (2) to relate the basic science research to the current evidence regarding clinical changes associated with normal aging, and (3) to review the evidence regarding age-related proprioceptive and cutaneous clinical changes and relate it to research examining balance performance in older adults. The article is organized by an examination of the receptors responsible for activating afferent pathways (muscle spindle, golgi tendon organ, and articular and cutaneous receptors) and the corresponding sensory afferent fibers and neurons. It integrates basic science laboratory findings with clinical evidence suggesting that advanced aging results in a decline in cutaneous sensation and proprioception. The potential relationship between postural instability and sensory impairments in older adults also is discussed. Current laboratory and clinical evidence suggests that aging results in: (1) diverse and nonuniform declines in the morphology and physiological function of the various sensory structures examined, (2) preferential loss of distal large myelinated sensory fibers and receptors, and (3) impaired distal lower-extremity proprioception, vibration and discriminative touch, and balance. These findings provide foundational knowledge that emphasizes the importance of using reliable and valid sensory testing protocols for older adults and the need for further research that clarifies the relationship between sensory impairment and balance.