Perception, Action, and Intrinsic Motivation in Infants’ Motor-Skill Development

Perception, action, and intrinsic motivation play an essential role in early development, promoting the creation and refinement of new and more complex forms of behaviors as infants try a range of sensorimotor patterns in their environment. I use the example of infants’ reaching to illustrate how goal-directed action emerges from the intersection of seemingly distinct visual and proprioceptive-tactile-motor spaces that form in the early months following birth. The intersection of these two spaces begins with a casual contingent event involving vision and action: when the hand happens to contact a target. This event, which marks the onset of reaching, provides new behavioral value, reinforces the motor action, and intrinsically motivates infants to attempt to reproduce the behavior. Subsequent repeated cycles of perception and action lead to the exploration of a range of motor responses and a progressive alignment of the visual space with the proprioceptive-tactile-motor space, ultimately fostering the selection and refinement of increasingly successful and refined reaching patterns. Extensive hands-on experience in the environment and learning about the immediate outcomes of actions play a critical role in shaping behavioral development.

Step-Wise Hierarchical Alignment Network for Image-Text Matching

Image-text matching plays a central role in bridging the semantic gap between vision and language. The key point to achieve precise visual-semantic alignment lies in capturing the fine-grained cross-modal correspondence between image and text. Most previous methods rely on single-step reasoning to discover the visual-semantic interactions, which lacks the ability of exploiting the multi-level information to locate the hierarchical fine-grained relevance. Different from them, in this work, we propose a step-wise hierarchical alignment network (SHAN) that decomposes image-text matching into multi-step cross-modal reasoning process. Specifically, we first achieve local-to-local alignment at fragment level, following by performing global-to-local and global-to-global alignment at context level sequentially. This progressive alignment strategy supplies our model with more complementary and sufficient semantic clues to understand the hierarchical correlations between image and text. The experimental results on two benchmark datasets demonstrate the superiority of our proposed method.

DLPAlign: A Deep Learning based Progressive Alignment for Multiple Protein Sequences

This paper proposed a novel and straightforward approach to improve the accuracy of progressive multiple protein sequence alignment. We trained a decision-making model based on the convolutional neural networks and bi-directional long short term memory networks, and based on this model, we progressively aligned the input sequences by calculating different posterior probability matrixes.To test the accuracy of this approach, we have implemented a multiple sequence alignment tool called DLPAlign and compared its performance with eleven leading alignment methods on three empirical alignment benchmarks (BAliBASE, OXBench and SABMark). Our results show that DLPAlign can get the best total-column scores on the three benchmarks. When evaluated against the 711 low similarity families with average PID ≤ 30%, DLPAlign improved about 2.8% over the second-best MSA software.Besides, we also compared the performance of DLPAlign and other alignment tools on a real-life application, namely protein secondary structure prediction on four protein sequences related to SARS-COV-2, and DLPAlign provides the best result in all cases.

Investigation of the Mechanical and Dynamic-Mechanical Properties of Electrospun Polyvinylpyrrolidone Membranes: A Design of Experiment Approach

Polyvinylpyrrolidone electrospun membranes characterized by randomly, partially, or almost completely oriented nanofibers are prepared using a drum collector in static (i.e., 0 rpm) or rotating (i.e., 250 rpm or 500 rpm) configuration. Besides a progressive alignment alongside the tangential speed direction, the nanofibers show a dimension increasing with the collector rotating speed in the range 410–570 nm. A novel design of experiment approach based on a face-centred central composite design is employed to describe membrane mechanical properties using the computation of mathematical models and their visualization via response surface methodology. The results demonstrate the anisotropic nature of the fibre-oriented membranes with Young’s modulus values of 165 MPa and 71 MPa parallelly and perpendicularly to the alignment direction, respectively. Above all, the proposed approach is proved to be a promising tool from an industrial point of view to prepare electrospun membranes with a tailored mechanical response by simply controlling the collector speed.

The generalisation of linguistic constructions in children with or without developmental language disorders

The generalisation of linguistic constructions is performed through analogical reasoning. Children with developmental language disorders (DLD) are impaired in analogical reasoning and in generalisation. However, these processes are improved by an input involving variability and similarity. Here we investigated the performance of children with or without DLD in a construction generalisation task. We also compared their performance following training with an input involving progressive alignment (combining similarity and variability) or high variability. Progressive alignment improves construction generalisation in children with or without DLD, which could have implications for our understanding of language development and for interventions conducted with children with DLD.

Progressive alignment of inhibitory and excitatory delay may drive a rapid developmental switch in cortical network dynamics

Relying on a generalization of the Wilson–Cowan model, which allows a solid analytic foundation for the understanding of the link between maturation of inhibition and network dynamics, we propose a potential explanation for the role of developing excitatory/inhibitory synaptic delays in mediating a sudden switch in thalamocortical visual activity preceding vision onset.

Cohesion Policy and European Union Politics

Cohesion policy is one of the longest-standing features of the European construction; its roots have been traced as far back as the Treaty of Rome. Over time, it has become one of the most politically salient and sizable policies of the European Union, absorbing approximately one-third of the EU budget. Given its principles and “shared management” approach, it mobilizes many different actors at multiple territorial scales, and by promoting “territorial cooperation” it has encouraged public authorities to work together, thus overcoming national borders. Furthermore, cohesion policy is commonly considered the most significant expression of solidarity between member states and the most tangible way in which EU citizens “experience” the European Union. While retaining its overarching mission of supporting lagging regions and encouraging the harmonious development of the Union, cohesion policy has steadily evolved and adapted in response to new internal and external challenges, such as those generated by subsequent rounds of enlargement, globalization, and shifting political preferences regarding what the EU should be about. Just as the policy has evolved over time in terms of its shape and priorities, so have the theoretical understandings of economic development that underpin its logic, the nature of intergovernmental relations, and the geographical and administrative space(s) within which the EU polity operates. For example, whereas overcoming the physical barriers to economic development were the initial targets in the 1960s and 1970s, and redesigning manufacturing clusters were those of the 1980s and 1990s, fostering advanced knowledge and technological progress became the focus of cohesion policy in the new century. At the same time, cohesion policy also inspired or even became a testing ground for new theories, such as multilevel governance, Europeanization, or smart specialization. Given its redistributive nature, debates have proliferated around its impact, added value, and administrative cost, as well as the institutional characteristics that it requires to function. These deliberations have, in turn, informed the policy in its periodic transformations. Political factors have also played a key role in shaping the evolution of the policy. Each reform has been closely linked to the debates on the European budget, where the net positions of member states have tended to dominate the agenda. An outcome of this process has been the progressive alignment with wider strategic goals beyond cohesion and convergence and the strengthening of linkages with the European Semester. However, some argue that policymakers have failed to properly consider the perverse effects of austerity on regional disparities. These unresolved tensions are particularly significant in a context denoted by a rise of populist and nativist movements, increasing social discontent, and strengthening Euroskepticism. As highlighted by research on its communication, cohesion policy may well be the answer for winning back the hearts and minds of European citizens. Whether and how this may be achieved will likely be the focus of research in the years ahead.

Progressive alignment with Cactus: a multiple-genome aligner for the thousand-genome era

Cactus, a reference-free multiple genome alignment program, has been shown to be highly accurate, but the existing implementation scales poorly with increasing numbers of genomes, and struggles in regions of highly duplicated sequence. We describe progressive extensions to Cactus that enable reference-free alignment of tens to thousands of large vertebrate genomes while maintaining high alignment quality. We show that Cactus is capable of scaling to hundreds of genomes and beyond by describing results from an alignment of over 600 amniote genomes, which is to our knowledge the largest multiple vertebrate genome alignment yet created. Further, we show improvements in orthology resolution leading to downstream improvements in annotation.