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This work was supported by the National Creative Research Initiative Program (2021R1A3A3088711) and the Sejong Science Fellowship (H.J.C; 2021R1C1C2013556) through the National Research Foundation of Korea funded by the Korea government (MSIT) and the EPSRC (EP/R512199/1) for funding an NPIF PhD scholarship (E.L.B.). An understanding of the CO2 adsorption mechanisms on small-pore zeolites is of practical importance in the development of more efficient adsorbents for the separation of CO2 from N2 or CH4. Here we report that the CO2 isotherms at 25–75 °C on cesium-exchanged phillipsite zeolite with a Si/Al ratio of 2.5 (Cs-PHI-2.5) are characterized by a rectilinear step shape: limited uptake at low CO2 pressure (PCO2) is followed by highly cooperative uptake at a critical pressure, above which adsorption rapidly approaches capacity (2.0 mmol g−1). Structural analysis reveals that this isotherm behavior is attributed to the high concentration and large size of Cs+ ions in dehydrated Cs-PHI-2.5. This results in Cs+ cation crowding and subsequent dispersal at a critical loading of CO2, which allows the PHI framework to relax to its wide pore form and enables its pores to fill with CO2 over a very narrow range of PCO2. Such a highly cooperative phenomenon has not been observed for other zeolites. Postprint

We describe a London Quantum-Secured Metro Network using Quantum Key Distribution between three London nodes together with customer access tails. The commercially- eady solution is fully integrated into the BT network and on-boarded its first customer., https://opg.optica.org/abstract.cfm?uri=OFC-2023-W4K.4

Recently, there has been growing interest in the early discharge strategy for low-risk patients who have undergone primary percutaneous coronary intervention (PCI) to treat ST-segment elevation myocardial infarction (STEMI). So far findings have suggested there are multiple advantages of shorter hospital stays, including that it could be a safe way to be more cost- and resource-efficient, reduce cases of hospital-acquired infection and boost patient satisfaction. However, there are remaining concerns surrounding safety, patient education, adequate follow-up and the generalisability of the findings from current studies which are mostly small-scale. By assessing the current research, we describe the advantages, disadvantages and challenges of early hospital discharge for STEMI and discuss the factors that determine if a patient can be considered low risk. If it is feasible to safely employ a strategy like this, the implications for healthcare systems worldwide could be extremely beneficial, particularly in lower-income economies and when we consider the detrimental impacts of the recent COVID-19 pandemic on healthcare systems.

We recommend that NASA maintain and fund science platforms that enable interactive and scalable data analysis in order to maximize the scientific return of data collected from space-based instruments., Heliophysics 2050 White Paper

Methods for out-of-distribution (OOD) detection that scale to 3D data are crucial components of any real-world clinical deep learning system. Classic denoising diffusion probabilistic models (DDPMs) have been recently proposed as a robust way to perform reconstruction-based OOD detection on 2D datasets, but do not trivially scale to 3D data. In this work, we propose to use Latent Diffusion Models (LDMs), which enable the scaling of DDPMs to high-resolution 3D medical data. We validate the proposed approach on near- and far-OOD datasets and compare it to a recently proposed, 3D-enabled approach using Latent Transformer Models (LTMs). Not only does the proposed LDM-based approach achieve statistically significant better performance, it also shows less sensitivity to the underlying latent representation, more favourable memory scaling, and produces better spatial anomaly maps. Code is available at https://github.com/marksgraham/ddpm-ood, Comment: Accepted at MICCAI 2023

Children and young people were not a priority in the early stages of the pandemic. Whilst children and young people were considered to be at ‘low health risk’ but this did not account for the seriousness of mental health issues. Evidence of the psychological impact of Covid-19 on children and young people is fast emerging. A concerning number of studies and systemic reviews suggest the overwhelming negative impact on child and adolescent mental health. The Buttle UK survey (June 22 – 15 July 2021) revealed that the Covid-19 pandemic had exacerbated an ‘under the radar’ mental health crisis leaving a generation of children traumatised and unable to benefit from the Government’s educational recovery programmes. ‘We must listen to frontline professionals and prioritise mental health support’: https://buttleuk.org/news/news-list/state-of-child-poverty-2021

Trabajo presentado a la 20th International Zeolite Conference, celebrada en Valencia (España) del 3 al 8 de julio de 2022., RGC thanks the University of St Andrews and Johnson Matthey for funding. PAW thanks the EPSRC (Designed Synthesis of Zeolites: EP/S016201/1) and the Royal Society (Industry Fellowship INF\R2\192052) for support. AM acknowledges the Spanish Ministry of Science and Innovation through the Ramon y Cajal programme (RYC2018-024561-I), the Regional government of Aragon (DGA E13_20R) and to the National Natural Science Foundation of China (NFSC-21850410448; NSFC-21835002).

Deep generative models have emerged as promising tools for detecting arbitrary anomalies in data, dispensing with the necessity for manual labelling. Recently, autoregressive transformers have achieved state-of-the-art performance for anomaly detection in medical imaging. Nonetheless, these models still have some intrinsic weaknesses, such as requiring images to be modelled as 1D sequences, the accumulation of errors during the sampling process, and the significant inference times associated with transformers. Denoising diffusion probabilistic models are a class of non-autoregressive generative models recently shown to produce excellent samples in computer vision (surpassing Generative Adversarial Networks), and to achieve log-likelihoods that are competitive with transformers while having fast inference times. Diffusion models can be applied to the latent representations learnt by autoencoders, making them easily scalable and great candidates for application to high dimensional data, such as medical images. Here, we propose a method based on diffusion models to detect and segment anomalies in brain imaging. By training the models on healthy data and then exploring its diffusion and reverse steps across its Markov chain, we can identify anomalous areas in the latent space and hence identify anomalies in the pixel space. Our diffusion models achieve competitive performance compared with autoregressive approaches across a series of experiments with 2D CT and MRI data involving synthetic and real pathological lesions with much reduced inference times, making their usage clinically viable.

In a clinical setting it is essential that deployed image processing systems are robust to the full range of inputs they might encounter and, in particular, do not make confidently wrong predictions. The most popular approach to safe processing is to train networks that can provide a measure of their uncertainty, but these tend to fail for inputs that are far outside the training data distribution. Recently, generative modelling approaches have been proposed as an alternative; these can quantify the likelihood of a data sample explicitly, filtering out any out-of-distribution (OOD) samples before further processing is performed. In this work, we focus on image segmentation and evaluate several approaches to network uncertainty in the far-OOD and near-OOD cases for the task of segmenting haemorrhages in head CTs. We find all of these approaches are unsuitable for safe segmentation as they provide confidently wrong predictions when operating OOD. We propose performing full 3D OOD detection using a VQ-GAN to provide a compressed latent representation of the image and a transformer to estimate the data likelihood. Our approach successfully identifies images in both the far- and near-OOD cases. We find a strong relationship between image likelihood and the quality of a model's segmentation, making this approach viable for filtering images unsuitable for segmentation. To our knowledge, this is the first time transformers have been applied to perform OOD detection on 3D image data. Code is available at github.com/marksgraham/transformer-ood., Comment: Accepted at MIDL 2022 (Oral)

Previous research indicates that programmes employing Hellison?s Teaching Personal and Social Responsibility (TPSR) model in physical activity have had a positive impact on youth development by increasing participants? positive values, autonomy, life skills, and prosocial behaviour. Despite encouraging results of the effects of TPSR-based programmes, there remains lack of research on the effective content of these programmes, and their implementation and evaluation. The current protocol article describes the development of a TPSR-based instructor training programme and a plan for an intervention study in which novice instructors learn to understand and apply the TPSR model in practice. The participants of the TPSR-based training intervention study are novice instructors who are matched and randomly allocated to a 20-hour TPSR-based training intervention and a six-hour control instructor training without the TPSR content. The proposed study examines whether the intervention is effective in teaching novice physical activity instructors to understand and apply the TPSR model, whether the instructors? personal and social responsibility develops, and whether the training intervention is feasible.

Most coaches and instructors would like to teach more than just sport skills to their athletes and children. However, to promote athletes' or children's holistic development and teach them to take responsibility and lead, requires the coaches and instructors to first master the skills themselves. Therefore, feasible, high quality leadership training programs where coaches and physical activity instructors are taught to teach and share leadership are needed. The aim of the current study was to evaluate the feasibility of a leadership training program to optimize it and to determine whether to proceed with its evaluation. In the leadership training program, eight Finnish novice physical activity instructors, aged 18 to 22, were taught to promote positive youth development, personal and social responsibility, and shared leadership in a physical activity context. The participants had minimal to no leadership training or experience. The training program consisted of seven meetings totaling 20 h. Helllison's teaching personal and social responsibility (TPSR) model was the theoretical and practical framework of the training program. Feasibility of the leadership training program was evaluated across four domains of an evidence-based framework: demand, practicality, acceptability, and implementation fidelity. Data of the current complex intervention were collected with application videos, questionnaires, researcher's log, lesson plans, video recordings, and a semi-structured focus group interview. The quantitative data were analyzed using descriptive statistics and the qualitative data using deductive and inductive content analysis. There was a demand for the leadership training program. The training program was perceived as practical and highly acceptable by the novice instructors and the trainers, and implemented with fidelity, indicating high overall feasibility. No implementation issues were found. Consequently, the current leadership training program has a high probability of efficacy and can be accepted for further evaluation. publishedVersion

This article presents a comparison of measurement methods for current and voltage distortions in low-voltage networks in the frequency range from 2 to 150 kHz (supraharmonics). The comparison encompasses the methods informatively described in IEC and CISPR international standards, as well as other innovative techniques presented in the literature. This work is carried out within a novel framework that includes advanced and complex synthetic test signals, as well as real grid recordings that allow an accurate comparison of the performance of the tested methods. Specifically designed indices are employed to characterize the accuracy of the tested methods in the frequency and amplitude assessments. In light of that, the strengths and weaknesses of the methods are identified. The results of this article contribute to the ongoing standardization work carried out by the IEC SC77A/WG9 with the purpose of defining a normative measurement method suitable for assessing grid disturbance levels in the range from 2 to 150 kHz. This project (18NRM05) has received funding from the EMPIR programme co-financed by the Participating States and from the European Union's Horizon 2020 research and innovation programme. This work was funded in part by the Spanish Government under Grant RTI2018-099162-B-I00 (MCIU/AEI/FEDER-UE). The Associate Editor coordinating the review process was Dimitrios Georgakopoulos.

This white paper details our recommendation that NASA maintain and fund science platforms that enable interactive and scalable data analysis in order to maximize the scientific return of data collected from space-based instruments.

Supplemental Material, Table_2_Amended_List_of_Reviewed_Studies for A scoping review critically examining research connecting social and emotional learning with three model-based practices in physical education: Have we been doing this all along? by Ben Dyson, Donal Howley and Paul M. Wright in European Physical Education Review

Supplemental Material, Table_3_Amended_Details_of_Listed_Studies for A scoping review critically examining research connecting social and emotional learning with three model-based practices in physical education: Have we been doing this all along? by Ben Dyson, Donal Howley and Paul M. Wright in European Physical Education Review

Supplemental material, sj-pdf-1-jbx-10.1177_2472555220976126 for A “Target Class” Screen to Identify Activators of Two-Pore Domain Potassium (K2P) Channels by David McCoull, Emma Ococks, Jonathan M. Large, David C. Tickle, Alistair Mathie, Jeffrey Jerman and Paul D. Wright in SLAS Discovery

Machine learning techniques have been successfully applied to super-resolution tasks on natural images where visually pleasing results are sufficient. However in many scientific domains this is not adequate and estimations of errors and uncertainties are crucial. To address this issue we propose a Bayesian framework that decomposes uncertainties into epistemic and aleatoric uncertainties. We test the validity of our approach by super-resolving images of the Sun's magnetic field and by generating maps measuring the range of possible high resolution explanations compatible with a given low resolution magnetogram.

Breakthroughs in our understanding of physical phenomena have traditionally followed improvements in instrumentation. Studies of the magnetic field of the Sun, and its influence on the solar dynamo and space weather events, have benefited from improvements in resolution and measurement frequency of new instruments. However, in order to fully understand the solar cycle, high-quality data across time-scales longer than the typical lifespan of a solar instrument are required. At the moment, discrepancies between measurement surveys prevent the combined use of all available data. In this work, we show that machine learning can help bridge the gap between measurement surveys by learning to \textbf{super-resolve} low-resolution magnetic field images and \textbf{translate} between characteristics of contemporary instruments in orbit. We also introduce the notion of physics-based metrics and losses for super-resolution to preserve underlying physics and constrain the solution space of possible super-resolution outputs.

In recent years, the shift to Distributed Generation (DG) and the use of smarter domestic appliances has led to an increasing integration of power electronics (active infeed converters,power drive systems etc.) at the household level. However, the use of more power electronics results in the generation of highly distorted currents entering the distribution grid. Previous research shows that such current waveforms can cause large errors in static electricity meters. Thus, there is an imperative need to study the characteristics of these current waveforms and their impact on meter readings by performing extended measurements in households. Since it is not practical to store all the high granularity waveform data of such measurements, suitable detection methods and trigger levels need to be defined to only capture the potentially problematic current waveforms. In this paper, signal processing techniques (differentiation, Short Time Fourier Transform and Wavelet Transform) are applied to current signals in order to extract features suitable for use as a trigger. Results show that the Discrete Wavelet Transform and the filter with derivative method give the most promising results and work reliably even for very noisy signals.

In September 2018, the First EuropeanWorkshop on Metal Phosphonates Chemistry brought together some prominent researchers in the field of metal phosphonates and phosphinates with the aim of discussing past and current research e orts and identifying future directions. The scope of this perspective article is to provide a critical overview of the topics discussed during the workshop, which are divided into two main areas: synthesis and characterisation, and applications. In terms of synthetic methods, there has been a push towards cleaner and more e cient approaches. This has led to the introduction of high-throughput synthesis and mechanochemical synthesis. The recent success of metal–organic frameworks has also promoted renewed interest in the synthesis of porous metal phosphonates and phosphinates. Regarding characterisation, the main advances are the development of electron di raction as a tool for crystal structure determination and the deployment of in situ characterisation techniques, which have allowed for a better understanding of reaction pathways. In terms of applications, metal phosphonates have been found to be suitable materials for several purposes: they have been employed as heterogeneous catalysts for the synthesis of fine chemicals, as solid sorbents for gas separation, notably CO2 capture, as materials for electrochemical devices, such as fuel cells and rechargeable batteries, and as matrices for drug delivery.

This thesis concentrates on a long-standing problem in heliophysics—the coronal heating problem. The work in this thesis investigates this problem in two main ways. The first has been to initiate the novel, yet highly successful, approach of trying to observe the smallest distinguishable heating events with a highly sensitive hard X-ray telescope, optimised for targets outside of the solar system (NuSTAR; Chapters 4, 5); the second approach has been to study the unresolved ensemble of even smaller events by studying the properties of pixel-level time series (Chapters 6, 7, 8). Chapter 1 provides a background of the coronal heating problem, with specific emphasis on the observational signatures of nanoflare heating. This is followed by an overview of the advancements of coronal imaging and spectroscopy, and the instruments used throughout this thesis are introduced (Chapter 2). Chapter 3 introduces the basics of atomic line spectroscopy and the concept of the differential emission measure. A number of techniques that are utilised throughout this thesis to recover the thermal properties of the corona are described and demonstrated with both spectroscopic and narrowband EUV observations. Chapter 4 provides an introduction to the NuSTAR hard X-ray astrophysics telescope. While NuSTAR is an astrophysics mission, this chapter demonstrates that NuSTAR is able to provide scientifically useful observations of the Sun, and these observations have advanced our understanding of various coronal phenomena including active region microflares. Chapter 5 presents observations and analysis of the first NuSTAR microflare where the combination of SDO/AIA, Hinode/XRT, and NuSTAR observations have allowed the differential emission measure to be constrained over an unprecedented temperature range. While no non-thermal emission was observed in this microflare, upper-limits consistent with a null detection are derived, and thermal energetics are discussed. From Chapter 6, this thesis concentrates on the unresolved nanoflare ensemble. Chapter 6 describes the concept of time-lag analysis, a technique to determine the temporal offset of two channels by investigating EUV light curves from SDO/AIA. Time-lag analysis is presented on a number of active region features and the 94 Å (Fe XVIII) – 335 Å time-lag is introduced in order to separate the hot and cool components of the SDO/AIA 94 Å channel. Chapter 7 builds on the work of Chapter 6 by introducing the concept EM time-lag analysis, where time-lag analysis is performed on the emission measure distribution in order to understand if the true time-lag signature (in temperature) is masked by the multi-thermal nature of SDO/AIA. For the channel pair used within this chapter, EM time-lag analysis appears to generally agree with SDO/AIA time-lag analysis however, there are a number of differences that will be discussed. Finally, Chapter 8 presents a test case demonstration of wavelet analysis on EUV time series. Wavelet analysis is first introduced, followed by wavelet coherency, and local intermittency measure, each of which could be valuable tools in the search for the signatures of the coronal heating mechanism.

Individual differences in memory during aging are associated with the microstructure of the fornix, a bidirectional tract connecting the hippocampus with the diencephalon, basal forebrain and cortex. To investigate the origin of alterations in fornix microstructure, measurement of hippocampal subfield volumes was combined with diffusion MRI and cognitive evaluation in a new sample of 31 healthy human participants aged 50-89 years. The fornix, uncinate and parahippocampal cingulum were reconstructed using diffusion MRI tractography. Episodic memory was assessed with free and cued verbal recall, visual recognition and paired associate learning tests. Recall performance was associated with fornix microstructure and hippocampal subfield volumes. Subiculum and CA1 volumes remained positively associated with fornix microstructure when controlling for other volumes. Subiculum volume was also associated with fornix microstructure independent of age. Regression analyses showed that subiculum-fornix associations explained more variation in recall than that of CA1-fornix associations. In a multivariable regression model, age and subiculum volume were independent predictors of free recall whilst fornix microstructure and CA1 volume were not. These results suggest that age-related changes in a network that includes the subiculum and fornix are important in cognitive change in healthy aging. These results match anatomical predictions concerning the importance of hippocampal - diencephalic projections for memory.

The Fibre-Laser Imaging of gas Turbine Exhaust Species (FLITES) project continues to target chemical species tomography for quantification and video-rate imaging of Carbon Dioxide within the exhaust plumes of high-thrust aero-jet engines. This remit, and the scalability needed to i) increase imaging speeds and resolutions and ii) extend it towards other pertinent gases, have been iteratively tackled through custom mechanical, optical and electronic designs targeting a commercial engine testing facility. We previously published work towards a high-speed (40MS/s/channel 14-bit) and multichannel (192-input) fully-parallel data acquisition (DAQ) system, utilizing Ethernet connectivity forremote operation and field-programmable gate array (FPGA)-based digital lock-in amplification (DLIA). The data rates are significant, 8.96Gb/s for a single printed circuit board (PCB) and over 107.5Gb/s for the 12-node, full-system. The management of sixteen (560Mb/s) low-voltage differential-signalling(LVDS) dual-data-rate (DDR) lines per FPGA has presented significant challenges, which we discuss here in overview. However, for the accurate analysis of gas concentrations, using tunable diode-laser absorption-spectroscopy (TDLAS) and wavelength-modulation spectroscopy (WMS), the analog performance is of interest and will be discussed. Specifically, while a 1st order 10Hz high-pass and 2nd order 3MHz low-pass response have been previously confirmed, we achieve a best-case signal-tonoise ratio (SNR) of 55.76dB, a spurious-free dynamic range (SFDR) of 50.8dB and a thermal noise floor of -60dB. The inputs are shown to be linear over the range of 0-1600mV (2Vpp ADC range) and the limiting factor is found to be harmonic distortion induced by single-sample glitches that are possibly linked to high-frequency simultaneous switching noise.

Membrane separation for gas purification is an energy-efficient and environment-friendly technology. However, the development of high performance membranes is still a great challenge. In principle, mixed matrix membranes (MMMs) have the potential to overcome current materials limitations, but in practice there is no straightforward method to match the properties of fillers and polymers (the main components of MMMs) in such a way that the final membrane performance reflects the high performance of themicroporous filler and the processability of the continuous polymer phase. This issue is especially important when high flux polymers are utilized. In this work, we demonstrate that the use of small amounts of a glassy polymer in combination with high performance PIM-1 allow for the preparation of MOF based MMMs with superior separation properties and low aging rates under humid conditions, meeting the commercial target for post-combustion CO2 capture.

The authors are grateful to EPSRC computational support through the Collaborative Computational Project on NMR Crystallography (CCP-NC), via EP/M022501/1, and for other support through EP/G062129/1 (JK) and EP/M506631/1 (SS). AFO acknowledges funding from the European Community Seventh Framework Program (FP7/2007-2013 [grant agreement number 608490], Project M4CO2). SEA would also like to thank the Royal Society and Wolfson Foundation for a merit award. AFO would also like to acknowledge the SCI for a scholarship for her PhD studies. Some of the calculations were performed on the ARCHER UK National Supercomputing Service, and were supported by CCP-NC. The research data (and/or materials) supporting this publication can be accessed at http://dx.doi.org/10.17630/7959a81e-161d-4ada-9914-08d3d235ce88 Zeolitic imidazolate frameworks (ZIFs) are a subclass of metal-organic frameworks (MOFs) with extended three-dimensional networks of transition metal nodes (bridged by rigid imidazolate linkers), with potential applications in gas storage and separation, sensing and controlled delivery of drug molecules. Here, we investigate the use of 13C and 15N solid-state NMR spectroscopy to characterise the local structure and disorder in a variety of single- and dual-linker ZIFs. In most cases, a combination of a basic knowledge of chemical shifts typically observed in solution-state NMR spectroscopy and the use of dipolar dephasing NMR experiments to reveal information about quaternary carbon species are combined to enable spectral assignment. Accurate measurement of the anisotropic components of the chemical shift provided additional information to characterise the local environment and the possibility of trying to understand the relationships between NMR parameters and both local and long-range structure. First-principles calculations on some of the simpler, ordered ZIFs were possible, and provided support for the spectral assignments, while comparison of these model systems to more disordered ZIFs aided interpretation of the more complex spectra obtained. It is shown that 13C and 15N NMR are sufficiently sensitive to detect small changes in the local environment, e.g., functionalisation of the linker, crystallographic inequivalence and changes to the framework topology, while the relative proportion of each linker present can be obtained by comparing relative intensities of resonances corresponding to chemically-similar species in cross polarisation experiments with short contact times. Therefore, multinuclear NMR spectroscopy, and in particular the measurement of both isotropic and anisotropic parameters, offers a useful tool for the structural study of ordered and, in particular, disordered ZIFs. Publisher PDF

Pornography use is a common activity in the developed world. This work consolidates research about pornography use into an organizational structure that is relevant to sexual motivation more broadly. To accomplish this, a comprehensive review of research is conducted, examining personality, emotional, and attitudinal associates and predictors of pornography use, as well as behaviors, attitudes, and motivations that are associated with or predicted by pornography use. Reviewing over 130 studies, the present work demonstrates that pornography is most often consumed for pleasure-seeking purposes, that it associated with increases in casual or impersonal approaches to sexuality, and that it predicts more pleasure-oriented approaches to sexual behavior. The implications of these findings are discussed.

NuSTAR is a highly sensitive focusing hard X-ray (HXR) telescope and has observed several small microflares in its initial solar pointings. In this paper, we present the first joint observation of a microflare with NuSTAR and Hinode/XRT on 2015 April 29 at ~11:29 UT. This microflare shows heating of material to several million Kelvin, observed in Soft X-rays (SXRs) with Hinode/XRT, and was faintly visible in Extreme Ultraviolet (EUV) with SDO/AIA. For three of the four NuSTAR observations of this region (pre-, decay, and post phases) the spectrum is well fitted by a single thermal model of 3.2-3.5 MK, but the spectrum during the impulsive phase shows additional emission up to 10 MK, emission equivalent to A0.1 GOES class. We recover the differential emission measure (DEM) using SDO/AIA, Hinode/XRT, and NuSTAR, giving unprecedented coverage in temperature. We find the pre-flare DEM peaks at ~3 MK and falls off sharply by 5 MK; but during the microflare's impulsive phase the emission above 3 MK is brighter and extends to 10 MK, giving a heating rate of about $2.5 \times 10^{25}$ erg s$^{-1}$. As the NuSTAR spectrum is purely thermal we determined upper-limits on the possible non-thermal bremsstrahlung emission. We find that for the accelerated electrons to be the source of the heating requires a power-law spectrum of $\delta \ge 7$ with a low energy cut-off $E_{c} \lesssim 7$ keV. In summary, this first NuSTAR microflare strongly resembles much more powerful flares., Comment: Accepted for publication in ApJ. 14 pages with 12 figures and 1 table

A simple laboratory-scale protocol that enables the evaluation of the effect of adsorbed water on CO2 uptake is proposed. 45 metal-organic frameworks (MOFs) were compared against reference zeolites and active carbons. It is possible to classify materials with different trends in CO2 uptake with varying amounts of pre-adsorbed water, including cases in which an increase in CO2 uptake is observed for samples with a given amount of pre-adsorbed water. Comparing loss in CO2 uptake between "wet" and "dry" samples with the Henry constant calculated from the water adsorption isotherm results in a semi-logarithmic trend for the majority of samples allowing predictions to be made. Outliers from this trend may be of particular interest and an explanation for the behaviour for each of the outliers is proposed. This thus leads to propositions for designing or choosing MOFs for CO2 capture in applications where humidity is present.

Internet pornography use is a common recreational activity in developed nations, with substantial majorities of people from numerous countries reporting exposure to or consistent use this media. Despite this ubiquity, the majority of research on internet pornography use has been relegated to topical or specialty journals, with little attention psychological science at a broader level. This work seeks to consolidate this body of research into a novel theoretical framework that conceptualizes internet pornography use in terms that are relevant to the psychological sciences more broadly. This framework has been termed the Hedonic Reinforcement Model of pornography consumption. In support of this model, a review of research is conducted, demonstrating that internet pornography use may be seen as being influenced by and an influencer of human sexual motivation. In the first step of the present model, the present work contends that IPU is motivated by hedonic and self-focused sexual motivations, most often being a solitary, pleasure-seeking pursuit. Second, this model contends that IPU uniquely rewards hedonic motivations, due to its accessibility, novelty, and customizable nature. Finally, the present model contends that IPU is likely to lead to increases in hedonic sexual motivation both in solitary and in social sexual encounters.

It is widely assumed that cognitive functions decline with age and that these decrements are associated with age-related changes in patterns of functional activity. However, these functional changes may be due to age-related increased responsiveness to task demands and not to other cognitive processes on which neural and behavioural responses rely, since many ageing studies use task paradigms that may not be orthogonal to the cognitive function being investigated. Here we test this hypothesis in adults aged 20–86 years by combining measures of language comprehension, functional connectivity and neural integrity to identify functional networks activated in two language experiments with varying task demands. In one, participants listened to spoken sentences without performing an overt task (the natural listening condition) while in the other they performed a task in response to the same sentences. Using task-based ICA of fMRI, we identified a left-lateralised frontotemporal network associated with syntactic analysis, which remained consistently activated regardless of task demands. In contrast, in the task condition only a separate set of components showed task-specific activity in Opercular, Frontoparietal, and bilateral PFC. Only the PFC showed age-related increases in activation which, furthermore, was strongly mediated by grey matter health. These results suggest that, contrary to prevailing views, age-related changes in cognitive activation may be due in part to differential responses to task-related processes., Highlights • Ageing effects on brain activity may be over-estimated due to demands of tasks. • Age differences in PFC network activity were present only during an active task. • This age-related increase is largely accounted for by grey matter morphology. • Results suggest that age-related changes may be due to task-related processes.

Conference presentation at 16th International Conference on Electrical Bio-Impedance and 17th International Conference on Electrical Impedance Tomography.

This talk introduces a new instrument for electrical impedance tomography (EIT) of the chest. The instrument is intended to provide a flexible, high-performance platform for development of tools for ventilation monitoring and control in critical-care settings.&nbsp

We have developed a novel cell-based protein-protein interaction assay method. The method relies on conversion of an inactive permuted luciferase containing a Tobacco Etch Virus protease (TEV) cleavage sequence fused onto protein (A) to an active luciferase upon interaction and cleavage by another protein (B) fused with the TEV protease. We demonstrate assay applicability for ligand-induced protein-protein interactions including G-protein coupled receptors, receptor tyrosine kinases and nuclear hormone receptors.

Much is known about how age affects the brain during tightly controlled, though largely contrived, experiments, but do these effects extrapolate to everyday life? Naturalistic stimuli, such as movies, closely mimic the real world and provide a window onto the brain's ability to respond in a timely and measured fashion to complex, everyday events. Young adults respond to these stimuli in a highly synchronized fashion, but it remains to be seen how age affects neural responsiveness during naturalistic viewing. To this end, we scanned a large (N = 218), population-based sample from the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) during movie-watching. Intersubject synchronization declined with age, such that older adults' response to the movie was more idiosyncratic. This decreased synchrony related to cognitive measures sensitive to attentional control. Our findings suggest that neural responsivity changes with age, which likely has important implications for real-world event comprehension and memory.

Much is known about how age affects the brain during tightly controlled, though largely contrived, experiments, but do these effects extrapolate to everyday life? Naturalistic stimuli, such as movies, closely mimic the real world and provide a window onto the brain's ability to respond in a timely and measured fashion to complex, everyday events. Young adults respond to these stimuli in a highly synchronized fashion, but it remains to be seen how age affects neural responsiveness during naturalistic viewing. To this end, we scanned a large (N = 218), population-based sample from the Cambridge Centre for Ageing and Neuroscience (Cam-CAN) during movie-watching. Intersubject synchronization declined with age, such that older adults' response to the movie was more idiosyncratic. This decreased synchrony related to cognitive measures sensitive to attentional control. Our findings suggest that neural responsivity changes with age, which likely has important implications for real-world event comprehension and memory.

The brewing industry has experienced a renaissance in recent decades, with the number of micro- and craft- brewers increasing rapidly. Whilst exact definitions for "micro-" or "craft-" breweries vary, typically they are small scale independently owned breweries using traditional brewing methods. Typically they adopt a different approach to marketing and distribution in order to compete in an extremely competitive market, with an emphasis on flavour, quality, and individuality. Despite the relative simplicity - inputs of malt, hops, water, yeast and energy - of the craft beer manufacturing process opportunities exist for brewers to enhance sustainability ? environmentally, socially and economically. This study examined the cradle-to-gate impacts of a locally sourced English Pale Ale (EPA) style and imported hop American Pale Ale (APA) style beers. Impact results suggest that the addition of imported ingredients has a marginal impact when considered in the context of the overall brewing operation.

The structure of dehydrated calcined ECR-18, synthetic paulingite, topology type PAU, unit cell composition Na132H28Si512Al160O1344, has been determined by Rietveld refinement against synchrotron X-ray powder diffraction data. Upon dehydration the symmetry of Na,H-ECR-18 changes from Im3m to I43m, with a corresponding decrease of cubic unit cell a parameter from 34.89412(1) Å to 33.3488(3) Å. This occurs as the framework distorts to afford closer coordination of Na+ cations by framework O atoms in 8-ring window sites of the seven cage types present. Na+ cations in 8R sites block the access of N2 molecules to the internal pore space at 77 K but CO2 adsorption at 308 K is observed, and is postulated to occur via a ‘trapdoor’ mechanism. In situ PXRD during CO2 adsorption at pressures up to 10 bar show reversible broadening of diffraction peaks that is attributed to local crystallographic strain.

This work presents polymer based composite materials used in slurries form to print low cost and scalable micro-scale Thermoelectric Generator (TEG) devices. Bi-epoxy composite is chosen as n-type material and mechanical alloy p-type Bi0.5Sb1.5Te3 with 8 wt. % extra Te-epoxy composite is used as p-type material. Maximum power factor of 0.00008 W/m-K2 is achieved for Bi-epoxy and Bi0.5Sb1.5Te3 with 8 wt. % extra Te-epoxy composite dispenser printed thick films. A 10 couple dispenser printed circular TEG prototype produced 130 μW power at ΔT of 70 K resulting in a device areal power density of 1230 μW/cm2.

The Hausdorff dimension of a conformal repeller or conformal hyperbolic set is well understood. For non-conformal maps, the Hausdorff dimension is only known in some special cases. Ban, Cao and Hu defined the concept of an average conformal repeller which generalises conformal, quasi-conformal and weakly conformal repellers, and they found an equation for the Hausdorff dimension for an average conformal repeller. In this paper we generalise this concept to average conformal hyperbolic sets, and obtain a similar equation for the Hausdorff dimension., Comment: 17 pages, 0 figures

We consider open billiards in the plane satisfying the no-eclipse condition. We show that the points in the non-wandering set depend differentiably on deformations to the boundary of the billiard. We use Bowen's equation to estimate the Hausdorff dimension of the non-wandering set of the billiard. Finally we show that the Hausdorff dimension depends differentiably on sufficiently smooth deformations to the boundary of the billiard, and estimate the derivative with respect to such deformations., Comment: 25 pages, 0 figures

Inhibitory natural killer (NK) cell receptors specific for major histocompatibility complex class I (MHC-I) molecules include Ly49 receptors in mice and killer immunoglobulin-like receptors (KIR) in humans. The "licensing" or "arming" models imply that engagement of these receptors to self MHC-I molecules during NK cell development educates NK cells to be more responsive to cancer and viral infection. We recently reported that hematopoietic stem cell transplantation (HSCT) induced rapid and preferential expansion of functionally competent Ly49G(+), but not other Ly49 family, NK cells independent of NK cell licensing via Ly49-MHC-I interactions. We now extend these studies to evaluate expression of the two Ly49G receptor isoforms Ly49G(B6) and Ly49G(BALB), using mice with different MHC-I haplotypes that express one or both of the isoforms. NK cells from CB6F1 (H-2(bxd)) hybrid mice express two different alleles for Ly49G receptor, Ly49G(B6) and Ly49G(BALB). We found that CB6F1 mice had more Ly49G(B6+) NK cells than Ly49(BALB+) NK cells, and that only Ly49G(B6+) NK cells increased in relative numbers and in Ly49G mean fluorescence intensity values after HSCT similar to the B6 parental strain. We further observed that Ly49G(+) NK cells in BALB/c (H-2(d)) and BALB.B (H-2(b)) mice, which have the same background genes, recover slowly after HSCT, in contrast to Ly49G(+) NK cells in B6 (H-2(b)) recipients. The difference in expression of Ly49G(B6) relative to Ly49G(BALB) was linked to differences in the activity of the Pro1 promoter between the two alleles. Thus, we conclude that the Ly49G(B6) receptor dominates Ly49G expression on NK cells after HSCT in strains in which that allele is expressed. The data suggest that Ly49 allelic polymorphism within a particular Ly49 family member can differentially affect NK cell recovery after HSCT depending on the background genes of the recipient, not on the MHC-I haplotype.

Inhibitory natural killer (NK) cell receptors specific for major histocompatibility complex class I (MHC-I) molecules include Ly49 receptors in mice and killer immunoglobulin-like receptors (KIR) in humans. The "licensing" or "arming" models imply that engagement of these receptors to self MHC-I molecules during NK cell development educates NK cells to be more responsive to cancer and viral infection. We recently reported that hematopoietic stem cell transplantation (HSCT) induced rapid and preferential expansion of functionally competent Ly49G(+), but not other Ly49 family, NK cells independent of NK cell licensing via Ly49-MHC-I interactions. We now extend these studies to evaluate expression of the two Ly49G receptor isoforms Ly49G(B6) and Ly49G(BALB), using mice with different MHC-I haplotypes that express one or both of the isoforms. NK cells from CB6F1 (H-2(bxd)) hybrid mice express two different alleles for Ly49G receptor, Ly49G(B6) and Ly49G(BALB). We found that CB6F1 mice had more Ly49G(B6+) NK cells than Ly49(BALB+) NK cells, and that only Ly49G(B6+) NK cells increased in relative numbers and in Ly49G mean fluorescence intensity values after HSCT similar to the B6 parental strain. We further observed that Ly49G(+) NK cells in BALB/c (H-2(d)) and BALB.B (H-2(b)) mice, which have the same background genes, recover slowly after HSCT, in contrast to Ly49G(+) NK cells in B6 (H-2(b)) recipients. The difference in expression of Ly49G(B6) relative to Ly49G(BALB) was linked to differences in the activity of the Pro1 promoter between the two alleles. Thus, we conclude that the Ly49G(B6) receptor dominates Ly49G expression on NK cells after HSCT in strains in which that allele is expressed. The data suggest that Ly49 allelic polymorphism within a particular Ly49 family member can differentially affect NK cell recovery after HSCT depending on the background genes of the recipient, not on the MHC-I haplotype.

This speech explores the sensitivity analysis of sensor networks for distribution grids

The goal of the 2.5 year Distributed Intelligent Automated Demand Response (DIADR) project was to reduce peak electricity load of Sutardja Dai Hall at UC Berkeley by 30% while maintaining a healthy, comfortable, and productive environment for the occupants. We sought to bring together both central and distributed control to provide “deep” demand response at the appliance level of the building as well as typical lighting and HVAC applications. This project brought together Siemens Corporate Research and Siemens Building Technology (the building has a Siemens Apogee Building Automation System (BAS)), Lawrence Berkeley National Laboratory (leveraging their Open Automated Demand Response (openADR), Auto-­Demand Response, and building modeling expertise), and UC Berkeley (related demand response research including distributed wireless control, and grid-­to-­building gateway development).