Representation of event and object concepts in ventral anterior temporal lobe and angular gyrus

Semantic knowledge includes understanding of objects and their features and also understanding of the characteristics of events. The hub-and-spoke theory holds that these conceptual representations rely on multiple information sources that are integrated in a central hub in the ventral anterior temporal lobes. The dual-hub theory expands this framework with the claim that the ventral anterior temporal lobe hub is specialized for object representation, while a second hub in angular gyrus is specialized for event representation. To test these ideas, we used representational similarity analysis, univariate and psychophysiological interaction analyses of fMRI data collected while participants processed object and event concepts (e.g. “an apple,” “a wedding”) presented as images and written words. Representational similarity analysis showed that angular gyrus encoded event concept similarity more than object similarity, although the left angular gyrus also encoded object similarity. Bilateral ventral anterior temporal lobes encoded both object and event concept structure, and left ventral anterior temporal lobe exhibited stronger coding for events. Psychophysiological interaction analysis revealed greater connectivity between left ventral anterior temporal lobe and right pMTG, and between right angular gyrus and bilateral ITG and middle occipital gyrus, for event concepts compared to object concepts. These findings support the specialization of angular gyrus for event semantics, though with some involvement in object coding, but do not support ventral anterior temporal lobe specialization for object concepts

Evaluating the effect of curing conditions on the glass transition of the structural adhesive using conditional tabular generative adversarial networks

Owing to its structural advantages, adhesively bonding fibre-reinforced polymers have been a promising solution for strengthening constructions. However, the effectiveness of this technique is significantly influenced by the material properties of the adhesive layer, which are largely determined by its curing condition. A comprehensive analysis of the effect of curing conditions on structural adhesives is hampered by the lack of sufficient experimental data. To mitigate such a limitation, this present study utilises a deep machine learning (ML) tool, the conditional tabular generative adversarial networks (CTGAN), to generate plausible synthetic dataset for developing a robust data-driven model. An artificial neural network (ANN) was trained on synthetic data and tested on real data, following the "Train on Synthetic – Test on Real" philosophy. The ultimately developed CTGAN-ANN model was validated by newly conducted experiments and several published studies (R2 ≥ 0.95), which demonstrated the ability to provide accurate estimates of the glass transition temperature values of the polymer adhesive. A comprehensive evaluation of the effect of each curing condition variable on the adhesive was performed, which revealed the underlying relationships, indicating that curing temperature and curing time have a positive effect, but that curing humidity has a negative effect. The ML model developed could inform the practical use of the structural adhesive in civil engineering

With a Few Square Roots, Quantum Computing Is as Easy as Pi

Rig groupoids provide a semantic model of Π, a universal classical reversible programming language over finite types. We prove that extending rig groupoids with just two maps and three equations about them results in a model of quantum computing that is computationally universal and equationally sound and complete for a variety of gate sets. The first map corresponds to an 8th root of the identity morphism on the unit 1. The second map corresponds to a square root of the symmetry on 1+1. As square roots are generally not unique and can sometimes even be trivial, the maps are constrained to satisfy a nondegeneracy axiom, which we relate to the Euler decomposition of the Hadamard gate. The semantic construction is turned into an extension of Π, called √Π, that is a computationally universal quantum programming language equipped with an equational theory that is sound and complete with respect to the Clifford gate set, the standard gate set of Clifford+T restricted to ≤2 qubits, and the computationally universal Gaussian Clifford+T gate set

A theory of plural constituent power for federal systems

Federations present difficulties for prevailing theories of constituent power, which usually attribute ultimate constitution-making authority to a singular people. This article examines how a ‘pluralized’ constituent power functions in federal systems. It argues that the operation of plural constituent power in federations reflects a distinctive model of constitutional formation according to which a ‘polity of polities’ is established and sustained through the maintenance of a tension between plurality and unity.</p

Perceptions of health:(Dis)integration and (mis)integration of refugees in Nairobi, Kenya

This article utilizes 40 in-depth interviews of healthcare workers (HCWs) including Kenyan nurses, medical doctors, psychologists, pharmacists, refugee NGO officers, and others based in Nairobi who come in professional contact with Congolese and Somali refugees on a regular basis. They were asked to describe barriers to healthcare, care seeking behaviors, and pathways to care that refugees experience. These responses are juxtaposed with 60 life-history interviews, exploring the same topics with Congolese and Somali refugees living in Kawangware and Eastleigh estates. In short, this article argues that refugees and HCWs have a shared understanding of the barriers to healthcare for displaced people, such as poverty, refugee documentation issues, and inadequacy of Nairobi’s healthcare system for marginalized populations. However, there is a significant disconnect in perspectives for how healthcare integration should take place regarding major causes of ill health, such as malnutrition and poor hygiene. Refugees understand oppression as a primary structural determinant of health, whereas many HCWs take an individualized view, advocating for modifications of knowledge and behaviors of refugees rather than adjusting structural issues. This is reflective of larger processes, whereby refugees are actively “(dis)integrated” by state and society and are observed by many Kenyans as “(mis)integrating,” or integrating “wrongly” or “badly,” which has major implications for how to shape possible policy interventions.</p

Highly Pathogenic Avian Influenza and its Complex Patterns of Reassortment

Highly Pathogenic Avian Influenza H5NX (clade 2.3.4.4b) is responsible for major outbreaks in poultry and wild birds in recent years. In 2014/2015, 2016/2017 and 2020/2021 the main subtype in Europe was H5N8, however for 2021/2022 and 2022/2023 seasons, the virus acquired a different neuraminidase making subtype H5N1. It has also undergone additional reassortments with internal protein coding segments from other low pathogenic strains and spread intercontinentally to the Americas, Africa and Asia.Using a sequence dataset of over 4000 genomes, we propose a method for determining and classifying reassortants suitable for further phylogenetic analysis. For each segment, the genetic distance between pairs of sequences is calculated, and sequences are grouped into 1.5-2% similarity clusters, and labelled according to size. The reassortment code of a whole-genome is composed of the individual segment cluster labels. With this method we see that there are 2-3 main reassortants in Europe for 2021-2023, particularly with different polymerase segments. The donor viruses for these reassorted segments largely originate from other co-circulating ‘Eurasian-pool’ low pathogenic strains, however one reassortant which has been severely affecting gulls and other seabirds also has segments from a ‘Northern-pool’ of viruses (Alaska and Northern Europe). Additionally, once in the Americas, there are multiple reassortments with co-circulating low pathogenic America’s lineages.Next, reassortants fitness properties in the population were estimated from phylodynamic growth rates of viral effective population size from time-scaled phylogenies as a function of genome composition, and bird-species with BEAST2 Birth-Death-Multitype-Models. We also used local branching index to provide a relative lineage growth measure with different bird-species at each node in the tree. Coupled with dates and spatial locations inference of the ancestral nodes, we are able to map the spatial and host species origin, dissemination, and initial fitness of the different reassortants.We find that the H5N1 strain has mixed with previously co-circulating low pathogenic viruses and acquired polymerases and other internal protein coding segments, resulting in fitter viruses in certain avian populations and further spread. We predict the reassortants will continue in the autumn in Europe, and expect further reassortments in the Americas

The Distortion of Distributed Facility Location

We study the distributed facility location problem, where a set of agents with positions on the line of real numbers are partitioned into disjoint districts, and the goal is to choose a point to satisfy certain criteria, such as optimize an objective function or avoid strategic behavior. A mechanism in our distributed setting works in two steps: For each district it chooses a point that is representative of the positions reported by the agents in the district, and then decides one of these representative points as the final output. We consider two classes of mechanisms: Unrestricted mechanisms which assume that the agents directly provide their true positions as input, and strategyproof mechanisms which deal with strategic agents and aim to incentivize them to truthfully report their positions. For both classes, we show tight bounds on the best possible approximation in terms of several minimization social objectives, including the well-known average social cost (average total distance of agents from the chosen point) and max cost (maximum distance among all agents from the chosen point), as well as other fairness-inspired objectives that are tailor-made for the distributed setting, in particular, the max-of-average and the average-of-max

Revisiting Solid-solid Phase Transitions in Sodium and Potassium Tetrafluoroborate for Thermal Energy Storage

In situ synchrotron powder x-ray diffraction (PXRD) study was conducted on sodium and potassium tetrafluoroborate (NaBF4 and KBF4) to elucidate structural changes across solid-solid phase transitions over multiple heating-cooling cycles. The phase transition temperatures from diffraction measurements are consistent with the differential scanning calorimetry data (~240 °C for NaBF4 and ~290 °C for KBF4). The crystal structure of the high-temperature (HT) NaBF4 phase has been determined from synchrotron PXRD data. The HT disordered phase of NaBF4 crystallizes in the hexagonal, space group P63/mmc (No. 194) with a = 4.98936(2) Å, c = 7.73464(4) Å, V = 166.748(2) Å3, and Z = 2 at 250 °C. Density functional theory molecular dynamics (MD) calculations imply that the P63/mmc is indeed a stable structure for rotational NaBF4. MD simulations reproduce experimental phase sequence upon heating and indicates that F atoms are markedly more mobile than K and B atoms in the disordered state. Thermal expansion coefficients for both phases were determined from high precision lattice parameters at elevated temperatures, as obtained from Rietveld refinement of PXRD data. Interestingly for the HT-phase of NaBF4, the structure (upon heating) contracts slightly in the a-b plane but expands in the c direction such that overall thermal expansion is positive. Thermal conductivity at room temperature were measured and the values are 0.8-1.0 W.m-1K-1 for NaBF4 and 0.55-0.65 W.m-1K-1 for KBF4. The thermal conductivity and diffusivity showed a gradual decrease up to the transition temperature and then rose slightly. Both materials show good thermal and structural stabilities over multiple heating/cooling cycles.<br/