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Nick K. Jones1,2*, Lucy Rivett1,2*, Chris Workman3, Mark Ferris3, Ashley Shaw1, Cambridge COVID-19 Collaboration1,4, Paul J. Lehner1,4, Rob Howes5, Giles Wright3, Nicholas J. Matheson1,4,6¶, Michael P. Weekes1,7¶1 Cambridge University NHS Hospitals Foundation Trust, Cambridge, UK2 Clinical Microbiology & Public Health Laboratory, Public Health England, Cambridge, UK3 Occupational Health and Wellbeing, Cambridge Biomedical Campus, Cambridge, UK4 Cambridge Institute of Therapeutic Immunology & Infectious Disease, University of Cambridge, Cambridge, UK5 Cambridge COVID-19 Testing Centre and AstraZeneca, Anne Mclaren Building, Cambridge, UK6 NHS Blood and Transplant, Cambridge, UK7 Cambridge Institute for Medical Research, University of Cambridge, Cambridge, UK*Joint first authorship¶Joint last authorshipCorrespondence: mpw1001@cam.ac.ukThe UK has initiated mass COVID-19 immunisation, with healthcare workers (HCWs) given early priority because of the potential for workplace exposure and risk of onward transmission to patients. The UK’s Joint Committee on Vaccination and Immunisation has recommended maximising the number of people vaccinated with first doses at the expense of early booster vaccinations, based on single dose efficacy against symptomatic COVID-19 disease.1-3At the time of writing, three COVID-19 vaccines have been granted emergency use authorisation in the UK, including the BNT162b2 mRNA COVID-19 vaccine (Pfizer-BioNTech). A vital outstanding question is whether this vaccine prevents or promotes asymptomatic SARS-CoV-2 infection, rather than symptomatic COVID-19 disease, because sub-clinical infection following vaccination could continue to drive transmission. This is especially important because many UK HCWs have received this vaccine, and nosocomial COVID-19 infection has been a persistent problem.Through the implementation of a 24 h-turnaround PCR-based comprehensive HCW screening programme at Cambridge University Hospitals NHS Foundation Trust (CUHNFT), we previously demonstrated the frequent presence of pauci- and asymptomatic infection amongst HCWs during the UK’s first wave of the COVID-19 pandemic.4 Here, we evaluate the effect of first-dose BNT162b2 vaccination on test positivity rates and cycle threshold (Ct) values in the asymptomatic arm of our programme, which now offers weekly screening to all staff.Vaccination of HCWs at CUHNFT began on 8th December 2020, with mass vaccination from 8th January 2021. Here, we analyse data from the two weeks spanning 18thto 31st January 2021, during which: (a) the prevalence of COVID-19 amongst HCWs remained approximately constant; and (b) we screened comparable numbers of vaccinated and unvaccinated HCWs. Over this period, 4,408 (week 1) and 4,411 (week 2) PCR tests were performed from individuals reporting well to work. We stratified HCWs <12 days or > 12 days post-vaccination because this was the point at which protection against symptomatic infection began to appear in phase III clinical trial.226/3,252 (0·80%) tests from unvaccinated HCWs were positive (Ct<36), compared to 13/3,535 (0·37%) from HCWs <12 days post-vaccination and 4/1,989 (0·20%) tests from HCWs ≥12 days post-vaccination (p=0·023 and p=0·004, respectively; Fisher’s exact test, Figure). This suggests a four-fold decrease in the risk of asymptomatic SARS-CoV-2 infection amongst HCWs ≥12 days post-vaccination, compared to unvaccinated HCWs, with an intermediate effect amongst HCWs <12 days post-vaccination.A marked reduction in infections was also seen when analyses were repeated with: (a) inclusion of HCWs testing positive through both the symptomatic and asymptomatic arms of the programme (56/3,282 (1·71%) unvaccinated vs 8/1,997 (0·40%) ≥12 days post-vaccination, 4·3-fold reduction, p=0·00001); (b) inclusion of PCR tests which were positive at the limit of detection (Ct>36, 42/3,268 (1·29%) vs 15/2,000 (0·75%), 1·7-fold reduction, p=0·075); and (c) extension of the period of analysis to include six weeks from December 28th to February 7th 2021 (113/14,083 (0·80%) vs 5/4,872 (0·10%), 7·8-fold reduction, p=1x10-9). In addition, the median Ct value of positive tests showed a non-significant trend towards increase between unvaccinated HCWs and HCWs > 12 days post-vaccination (23·3 to 30·3, Figure), suggesting that samples from vaccinated individuals had lower viral loads.We therefore provide real-world evidence for a high level of protection against asymptomatic SARS-CoV-2 infection after a single dose of BNT162b2 vaccine, at a time of predominant transmission of the UK COVID-19 variant of concern 202012/01 (lineage B.1.1.7), and amongst a population with a relatively low frequency of prior infection (7.2% antibody positive).5This work was funded by a Wellcome Senior Clinical Research Fellowship to MPW (108070/Z/15/Z), a Wellcome Principal Research Fellowship to PJL (210688/Z/18/Z), and an MRC Clinician Scientist Fellowship (MR/P008801/1) and NHSBT workpackage (WPA15-02) to NJM. Funding was also received from Addenbrooke’s Charitable Trust and the Cambridge Biomedical Research Centre. We also acknowledge contributions from all staff at CUHNFT Occupational Health and Wellbeing and the Cambridge COVID-19 Testing Centre.

Scene flow tracks the three-dimensional (3D) motion of each point in adjacent point clouds. It provides fundamental 3D motion perception for autonomous driving and server robot. Although the Red Green Blue Depth (RGBD) camera or Light Detection and Ranging (LiDAR) capture discrete 3D points in space, the objects and motions usually are continuous in the macro world. That is, the objects keep themselves consistent as they flow from the current frame to the next frame. Based on this insight, the Generative Adversarial Networks (GAN) is utilized to self-learn 3D scene flow with no need for ground truth. The fake point cloud of the second frame is synthesized from the predicted scene flow and the point cloud of the first frame. The adversarial training of the generator and discriminator is realized through synthesizing indistinguishable fake point cloud and discriminating the real point cloud and the synthesized fake point cloud. The experiments on Karlsruhe Institute of Technology and Toyota Technological Institute (KITTI) scene flow dataset show that our method realizes promising results without ground truth. Just as human, the proposed method can identify the similar local structures of two adjacent frames even without knowing the ground truth scene flow. Then, the local correspondence can be correctly estimated, and further the scene flow is correctly estimated.   Corresponding author(s) Email: wanghesheng@sjtu.edu.cn

Leukocyte differential test is a widely performed clinical procedure for screening infectious diseases. Existing hematology analyzers require labor-intensive work and a panel of expensive reagents. Here we report an artificial-intelligence enabled reagent-free imaging hematology analyzer (AIRFIHA) modality that can accurately classify subpopulations of leukocytes with minimal sample preparation. AIRFIHA is realized through training a two-step residual neural network using label-free images of isolated leukocytes acquired from a custom-built quantitative phase microscope. By leveraging the rich information contained in quantitative phase images, we not only achieved high accuracy in differentiating B and T lymphocytes, but also classified CD4 and CD8 cells, therefore outperforming the classification accuracy of most current hematology analyzers. We validated the performance of AIRFIHA in a randomly selected test set and cross-validated it across all blood donors. Owing to its easy operation, low cost, and accurate discerning capability of complex leukocyte subpopulations, we envision AIRFIHA is clinically translatable and can also be deployed in resource-limited settings, e.g., during pandemic situations for the rapid screening of infectious diseases.  Corresponding author(s) Email:    rjzhou@cuhk.edu.hk,  rishikesh.pandey@uconn.edu

Tam Hunt [1], Jonathan SchoolerUniversity of California Santa Barbara Synchronization, harmonization, vibrations, or simply resonance in its most general sense seems to have an integral relationship with consciousness itself. One of the possible “neural correlates of consciousness” in mammalian brains is a combination of gamma, beta and theta synchrony. More broadly, we see similar kinds of resonance patterns in living and non-living structures of many types. What clues can resonance provide about the nature of consciousness more generally? This paper provides an overview of resonating structures in the fields of neuroscience, biology and physics and attempts to coalesce these data into a solution to what we see as the “easy part” of the Hard Problem, which is generally known as the “combination problem” or the “binding problem.” The combination problem asks: how do micro-conscious entities combine into a higher-level macro-consciousness? The proposed solution in the context of mammalian consciousness suggests that a shared resonance is what allows different parts of the brain to achieve a phase transition in the speed and bandwidth of information flows between the constituent parts. This phase transition allows for richer varieties of consciousness to arise, with the character and content of that consciousness in each moment determined by the particular set of constituent neurons. We also offer more general insights into the ontology of consciousness and suggest that consciousness manifests as a relatively smooth continuum of increasing richness in all physical processes, distinguishing our view from emergentist materialism. We refer to this approach as a (general) resonance theory of consciousness and offer some responses to Chalmers’ questions about the different kinds of “combination problem.”  At the heart of the universe is a steady, insistent beat: the sound of cycles in sync…. [T]hese feats of synchrony occur spontaneously, almost as if nature has an eerie yearning for order. Steven Strogatz, Sync: How Order Emerges From Chaos in the Universe, Nature and Daily Life (2003) If you want to find the secrets of the universe, think in terms of energy, frequency and vibration.Nikola Tesla (1942) I.               Introduction Is there an “easy part” and a “hard part” to the Hard Problem of consciousness? In this paper, we suggest that there is. The harder part is arriving at a philosophical position with respect to the relationship of matter and mind. This paper is about the “easy part” of the Hard Problem but we address the “hard part” briefly in this introduction.  We have both arrived, after much deliberation, at the position of panpsychism or panexperientialism (all matter has at least some associated mind/experience and vice versa). This is the view that all things and processes have both mental and physical aspects. Matter and mind are two sides of the same coin.  Panpsychism is one of many possible approaches that addresses the “hard part” of the Hard Problem. We adopt this position for all the reasons various authors have listed (Chalmers 1996, Griffin 1997, Hunt 2011, Goff 2017). This first step is particularly powerful if we adopt the Whiteheadian version of panpsychism (Whitehead 1929).  Reaching a position on this fundamental question of how mind relates to matter must be based on a “weight of plausibility” approach, rather than on definitive evidence, because establishing definitive evidence with respect to the presence of mind/experience is difficult. We must generally rely on examining various “behavioral correlates of consciousness” in judging whether entities other than ourselves are conscious – even with respect to other humans—since the only consciousness we can know with certainty is our own. Positing that matter and mind are two sides of the same coin explains the problem of consciousness insofar as it avoids the problems of emergence because under this approach consciousness doesn’t emerge. Consciousness is, rather, always present, at some level, even in the simplest of processes, but it “complexifies” as matter complexifies, and vice versa. Consciousness starts very simple and becomes more complex and rich under the right conditions, which in our proposed framework rely on resonance mechanisms. Matter and mind are two sides of the coin. Neither is primary; they are coequal.  We acknowledge the challenges of adopting this perspective, but encourage readers to consider the many compelling reasons to consider it that are reviewed elsewhere (Chalmers 1996, Griffin 1998, Hunt 2011, Goff 2017, Schooler, Schooler, & Hunt, 2011; Schooler, 2015).  Taking a position on the overarching ontology is the first step in addressing the Hard Problem. But this leads to the related questions: at what level of organization does consciousness reside in any particular process? Is a rock conscious? A chair? An ant? A bacterium? Or are only the smaller constituents, such as atoms or molecules, of these entities conscious? And if there is some degree of consciousness even in atoms and molecules, as panpsychism suggests (albeit of a very rudimentary nature, an important point to remember), how do these micro-conscious entities combine into the higher-level and obvious consciousness we witness in entities like humans and other mammals?  This set of questions is known as the “combination problem,” another now-classic problem in the philosophy of mind, and is what we describe here as the “easy part” of the Hard Problem. Our characterization of this part of the problem as “easy”[2] is, of course, more than a little tongue in cheek. The authors have discussed frequently with each other what part of the Hard Problem should be labeled the easier part and which the harder part. Regardless of the labels we choose, however, this paper focuses on our suggested solution to the combination problem.  Various solutions to the combination problem have been proposed but none have gained widespread acceptance. This paper further elaborates a proposed solution to the combination problem that we first described in Hunt 2011 and Schooler, Hunt, and Schooler 2011. The proposed solution rests on the idea of resonance, a shared vibratory frequency, which can also be called synchrony or field coherence. We will generally use resonance and “sync,” short for synchrony, interchangeably in this paper. We describe the approach as a general resonance theory of consciousness or just “general resonance theory” (GRT). GRT is a field theory of consciousness wherein the various specific fields associated with matter and energy are the seat of conscious awareness.  A summary of our approach appears in Appendix 1.  All things in our universe are constantly in motion, in process. Even objects that appear to be stationary are in fact vibrating, oscillating, resonating, at specific frequencies. So all things are actually processes. Resonance is a specific type of motion, characterized by synchronized oscillation between two states.  An interesting phenomenon occurs when different vibrating processes come into proximity: they will often start vibrating together at the same frequency. They “sync up,” sometimes in ways that can seem mysterious, and allow for richer and faster information and energy flows (Figure 1 offers a schematic). Examining this phenomenon leads to potentially deep insights about the nature of consciousness in both the human/mammalian context but also at a deeper ontological level.

Cannabis sativa is an extraordinarily versatile species. Hemp and its cousin marijuana, both C. sativa, have been used for millennia as a source of fibre, oil and for medicinal, spiritual and recreational purposes. Because the consumption of Cannabis can have psychoactive effects, the plant has been widely banned throughout the last century. In the past decade, evidence of its medicinal properties did lead to the relaxation of legislation in many countries around the world. Consequently, the genetics and development of Cannabis as well as Cannabis-derived products are the subject of renewed attention.Here, we review the biology of C. sativa, including recent insights from taxonomy, morphology and genomics, with an emphasis on the genetics of cannabinoid synthesis. Because the female Cannabis flower is of special interest as the site of cannabinoid synthesis, we explore flower development, flowering time well as the species’ unique sex determination system in detail. Furthermore, we outline the tremendous medicinal, engineering, and environmental opportunities that Cannabis bears. Together, the picture emerges that our understanding of Cannabis biology currently progresses at an unusual speed. A future challenge will be to preserve the multi-purpose nature of Cannabis, and to harness its medicinal properties and sustainability advantages simultaneously.

Quantum chemistry must evolve if it wants to fully leverage the benefits of the internet age, where the world wide web offers a vast tapestry of tools that enable users to communicate and interact with complex data at the speed and convenience of a button press. The Open Chemistry project has developed an open source framework that offers an end-to-end solution for producing, sharing, and visualizing quantum chemical data interactively on the web using an array of modern tools and approaches. These tools build on some of the best open source community projects such as Jupyter for interactive online notebooks, coupled with 3D accelerated visualization, state-of-the-art computational chemistry codes including NWChem and Psi4 and emerging machine learning and data mining tools such as ChemML and ANI. They offer flexible formats to import and export data, along with approaches to compare computational and experimental data.

This paper responds to one by Graham Martin and colleagues, who offered a critique of my previous publications on masks for the lay public in the Covid-19 pandemic. I address their charges that my co-authors and I had misapplied the precautionary principle; drawn conclusions that were not supported by empirical research; and failed to take account of potential harms. But before that, I remind Martin et al that the evidence on mask wearing goes beyond the contested trials and observational studies they place centre stage. I set out some key findings from basic science, epidemiology, mathematical modelling, case studies and natural experiments, and use this rich and diverse body of evidence as the backdrop for my rebuttal of their narrowly-framed objections. I challenge my critics’ apparent assumption that a particular kind of systematic review should be valorised over narrative and real-world evidence, since stories are crucial to both our scientific understanding and our moral imagination. I conclude by thanking my academic adversaries for the intellectual sparring match, but exhort them to remember our professional accountability to a society in crisis. It is time to lay straw men to rest and engage, scientifically and morally, with the dreadful tragedy that is unfolding across the world.

This Supporting information includes interactive plots, videos, and data captured while performing evaluation and validation experiments for our paper. 

The construct of wellbeing has been criticised as a neoliberal construction of western individualism that ignores wider systemic issues including increasing burden of chronic disease, widening inequality, concerns over environmental degradation and anthropogenic climate change. While these criticisms overlook recent developments, there remains a need for biopsychosocial models that extend theoretical grounding beyond individual wellbeing, incorporating overlapping contextual issues relating to community and environment. Our first GENIAL model \cite{Kemp_2017} provided a more expansive view of pathways to longevity in the context of individual health and wellbeing, emphasising bidirectional links to positive social ties and the impact of sociocultural factors. In this paper, we build on these ideas and propose GENIAL 2.0, focusing on intersecting individual-community-environmental contributions to health and wellbeing, and laying an evidence-based, theoretical framework on which future research and innovative therapeutic innovations could be based. We suggest that our transdisciplinary model of wellbeing - focusing on individual, community and environmental contributions to personal wellbeing - will help to move the research field forward. In reconceptualising wellbeing, GENIAL 2.0 bridges the gap between psychological science and population health health systems, and presents opportunities for enhancing the health and wellbeing of people living with chronic conditions. Implications for future generations including the very survival of our species are discussed.  

Floral plantings are promoted to foster ecological intensification of agriculture through provisioning of ecosystem services. However, a comprehensive assessment of the effectiveness of different floral plantings, their characteristics and consequences for crop yield across global regions is lacking. Here we quantified the impacts of flower strips and hedgerows on pest control and pollination services in adjacent crops using a global dataset of 529 sites. Flower strips, but not hedgerows, enhanced pest control services in adjacent fields by 16% on average. However, effects on crop pollination and yield were more variable. Our synthesis identifies several important drivers of variability in effectiveness of plantings: pollination services declined exponentially with distance from plantings, and perennial and older flower strips with higher flowering plant diversity enhanced pollination more effectively. These findings provide promising pathways to optimize floral plantings to more effectively contribute to ecosystem service delivery and ecological intensification of agriculture in the future.

Researchers' ability to accurately screen fossil and subfossil specimens for preservation of DNA and protein sequences remains limited. Thermal exposure and geologic age are usable proxies for sequence preservation on a broad scale but are of nominal use for specimens of similar depositional environments. Cell and tissue biomolecular histology is thus proposed as a novel proxy for determining sequence preservation potential of ancient specimens with improved accuracy. Biomolecular histology as a proxy is hypothesized to elucidate why fossils/subfossils of some depositional environments preserve sequences while others do not and to facilitate selection of ancient specimens for use in molecular studies.

IntroductionConsistent with World Health Organization (WHO) advice [1], UK Infection Protection Control guidance recommends that healthcare workers (HCWs) caring for patients with coronavirus disease 2019 (COVID-19) should use fluid resistant surgical masks type IIR (FRSMs) as respiratory protective equipment (RPE), unless aerosol generating procedures (AGPs) are being undertaken or are likely, when a filtering face piece 3 (FFP3) respirator should be used [2]. In a recent update, an FFP3 respirator is recommended if “an unacceptable risk of transmission remains following rigorous application of the hierarchy of control” [3]. Conversely, guidance from the Centers for Disease Control and Prevention (CDC) recommends that HCWs caring for patients with COVID-19 should use an N95 or higher level respirator [4]. WHO guidance suggests that a respirator, such as FFP3, may be used for HCWs in the absence of AGPs if availability or cost is not an issue [1].A recent systematic review undertaken for PHE concluded that: “patients with SARS-CoV-2 infection who are breathing, talking or coughing generate both respiratory droplets and aerosols, but FRSM (and where required, eye protection) are considered to provide adequate staff protection” [5]. Nevertheless, FFP3 respirators are more effective in preventing aerosol transmission than FRSMs, and observational data suggests that they may improve protection for HCWs [6]. It has therefore been suggested that respirators should be considered as a means of affording the best available protection [7], and some organisations have decided to provide FFP3 (or equivalent) respirators to HCWs caring for COVID-19 patients, despite a lack of mandate from local or national guidelines [8].Data from the HCW testing programme at Cambridge University Hospitals NHS Foundation Trust (CUHNFT) during the first wave of the UK severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) pandemic indicated a higher incidence of infection amongst HCWs caring for patients with COVID-19, compared with those who did not [9]. Subsequent studies have confirmed this observation [10, 11]. This disparity persisted at CUHNFT in December 2020, despite control measures consistent with PHE guidance and audits indicating good compliance. The CUHNFT infection control committee therefore implemented a change of RPE for staff on “red” (COVID-19) wards from FRSMs to FFP3 respirators. In this study, we analyse the incidence of SARS-CoV-2 infection in HCWs before and after this transition.

RATIONALE The analysis of the nitrogen (N) isotopic composition of organic matter bound to fossil biomineral structures (BB-δ 15N) using the oxidation-denitrifier (O-D) method provides a novel tool to study past changes in N cycling processes. METHODS We report a set of methodological improvements to the O-D method, including: (i) a method for sealing the reaction vials in which oxidation of organic N to NO 3 - takes place; (ii) a recipe for bypassing the pH adjustment step before the bacterial conversion of NO 3 - to N 2O; and (iii) a storage method of recrystallized dipotassium peroxodisulphate (K 2S 2O 8) under Ar atmosphere.  RESULTS The new method eliminates the occasional contamination and vial breakage, and increases sample throughput. The protocol for bypassing of pH adjustment does not affect BB-δ 15N, and it significantly reduces processing time. Storage of K 2S 2O 8 reagent under Ar atmosphere produces stable oxidation blanks over more than two years. We report analytical blanks, accuracy and precision for this methodology from eight users over the course of ~ 3.5 years of analyses at the Max Planck Institute for Chemistry. Our method produces analytical blanks characterized by low N content (0.30 ± 0.13 nmol N, 1σ, n=204) and stable δ 15N (– 2.45 ± 3.50 ‰, n=204). The analysis of reference amino acid standards USGS40 and USGS65 indicates an overall accuracy of  – 0.23 ± 0.35 ‰ (1σ, n=891). The analysis of in-house fossil standards gives similar analytical precision (1σ) across a range of BB-δ 15N values and biominerals: zooxanthellate coral standard PO-1 (6.08 ± 0.21 ‰, n=267), azooxanthellate coral standard LO-1 (10.20 ± 0.28 ‰, n=258), foraminifera standard MF-1 (5.92 ± 0.28 ‰, n=243) and tooth enamel AG-Lox (4.06 ± 0.49 ‰, n=78). CONCLUSIONS The proposed analytical improvements significantly increase sample throughput without compromising analytical precision or accuracy down to 1 nmol of N.

Background: Information about the concentration of unbound paclitaxel over time following administration of albumin-bound paclitaxel (nab-paclitaxel) and its proportion to total paclitaxel in plasma remains unavailable. The aim of this study was to establish a population pharmacokinetic (PK) model to evaluate the dynamic relationship between total and unbound concentrations of paclitaxel in Chinese patients with metastatic breast cancer. Method: A total of 653 concentrations corresponding to total and 334 to unbound paclitaxel were analyzed in 24 subjects who received two cycles of a single nab-paclitaxel dose of 260 mg/m2/cycle. The time course of the fraction of unbound paclitaxel was analyzed by Monte Carlo simulation. Results: A three-compartment model with first-order elimination was selected to describe the PK of total paclitaxel. A mechanism-based model incorporating linear dissociation of nab-paclitaxel and saturated binding of free paclitaxel to plasma components was established to describe the relationship between total and unbound paclitaxel. Unbound paclitaxel fraction was expressed as a function of nab-paclitaxel concentration. Dissociation coefficient of nab-paclitaxel was estimated to be 4.60%, while a maximum unbound fraction value of 2.76% was reached at the end of infusion due to nonlinear binding kinetics of unbound paclitaxel. Conclusion: This is the first study to determine relationship between total and unbound nab-paclitaxel concentrations using a semi-mechanical population PK model. The model established in this study can be used to elucidate the dissociation process of nab-paclitaxel and provide a basis for studies investigating the relationship between unbound paclitaxel and toxicity as well as efficacy against metastatic breast cancer.

Rice, being a widely grown food crop, often suffers from nutrient imbalances, hindering its production, which suffers from a lack of certain nutrients like potassium, nitrogen, and phosphorus. Identifying the potential nutrient deficiency in the rice crop can pose a challenging task because the leaves of rice plants affected by these nutritional shortages may have disorders such as colour and shape changes. The classification of nutrient deficits can be done visually by examining the colour and shape of the leaves. However, it is expensive, time-consuming, and requires greater expertise. To tackle this issue, this work proposes a computer vision-based deep learning approach called CAR-Capsnet, an enhanced version of the capsule network (Capsnet) that utilises contextual attention routing (CAR) for classifying nutrient deficiencies in rice crops. The dataset required for training and evaluation is obtained from the freely available Kaggle data repository. Pre-processing techniques, such as the Wiener filter and adaptive Otsu segmentation, are applied to the dataset. Unlike traditional routing approaches, CAR-Capsnet utilises contextual attention routing to improve the model’s capability to handle complex visual features and patterns associated with nutrient deficiencies in rice crops. In the evaluation, the proposed model’s performance is compared with two other existing models, CNN and the original Capsnet. Experimental results demonstrate that CAR-Capsnet outperforms both models, achieving a testing accuracy of 97.1% and exhibiting superior performance compared to the baseline models. Additionally, comparing the classifier’s results with previous research findings confirms that the proposed CAR-Capsnet model is superior to alternative approaches in classifying nutrient deficiencies in rice crops.

Background: Bronchiolitis is a viral respiratory illness most commonly caused by respiratory syncytial virus (RSV). COVID-19 disrupted typical patterns of viral transmission. Our study aimed to compare low value care for bronchiolitis in a tertiary emergency department (ED) in the United States over the previous five years. Methods: This was a descriptive cohort study through a retrospective chart review from 2017-2022 analyzing ED visits for bronchiolitis including disposition, disease severity, chest radiographs, albuterol, and high flow nasal cannula. A year was a 12 month period from March to February. Results: In the three years prior to the pandemic, there were over 2000 ED visits for bronchiolitis per year (3.1% of all ED visits), which decreased to 450 visits for bronchiolitis (1% of all visits) in 2020. Human rhino/enterovirus was the most common virus detected (92%). Admission rates, albuterol use, high flow nasal cannula use, and chest radiographs were all higher during the first year of the pandemic. The summer of 2021 had the highest visits across the 5 study years (2743, 4.0% of all visits) with a return to previous rates of resource utilization. Conclusions: During the early pandemic, measures to halt the spread of COVID-19 also altered the transmission of RSV and emergency visits for bronchiolitis. There was an increase in lower value care while the volume was low and rhinovirus was the dominant virus detected. As restrictions lifted in 2021, there was a large resurgence of RSV in the atypical summer months with a return of previous rates of resource utilization.

Title Guideline consultation generates inevitable challenges but invaluable communicationSignatoryPauline McDonagh Hull, Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Alberta, CanadaLetterDear Sir, As first author of one of the BJOG letters cited in Dr. Murphy’s commentary on the ‘unwelcome consequences of guideline authorship’1 (‘Montgomery is missing from RCOG’s Assisted Vaginal Birth guideline ’2), and director of one of the organisations that submitted comments during the Royal College of Obstetricians and Gynaecologists’ consultation, I would appreciate the opportunity to clarify my involvement and position in the matters described, to avoid potential misinterpretations or assumptions where individuals and organisations have not been named. Dr. Murphy mentions ‘individuals who…believe that forceps should be abolished entirely’, and informs readers that this view ‘was reflected in one submission…from a patient advocacy organisation who suggested that planned caesarean section should be recommended to women as a means of avoiding AVB.’ She then notes our Montgomeryletter2 ‘repeated the same point about planned caesarean section they had made during the consultation process.’ For the record, the submission from my voluntary organisation, Caesarean Birth, did not suggest forceps should be abolished. I disagree with Dr. Murphy’s assertion that our letter was ‘hostile’, and we stand by the concerns expressed therein. However, where I do agree with Dr. Murphy is in relation to the irrefutable challenge ‘of reconciling polarised views’. While our criticism of the RCOG guideline may be perceived as ‘an agenda’ to ‘undermine authors’, it may also be perceived as a sincere effort to influence a hegemonic shift in maternity services in the face of unprecedented maternity litigation resulting from avoidable harm. These views may never be fully reconciled, but I believe we all share the same goal of improving health outcomes. Moreover, the RCOG has responded to criticism of its assisted vaginal birth and caesarean birth recommendations in the past; initially removing them from its website temporarily, and then permanently five years later.3Last year, the University of Aberdeen was awarded almost £1 million to develop a decision aid, to be offered to all women, for planning mode of birth.4 In my view, the option of planned caesarean birth should not be reserved for obstetricians or women who initiate discussions, as this does not constitute equitable care. Language in maternity services is changing too. While Dr. Murphy refers to ‘caesarean section’, both the RCOG and National Institute for Health and Care Excellence (NICE) adopted ‘caesarean birth’ for their respective 2021 guideline and 2022 Considering a caesarean birthpublications. Finally, when Dr. Murphy highlights the lack of remuneration for guideline authors, she echoes my own experience of countless hours in unpaid consultation, barring one significant difference. Only authors have the privilege of determining the final version. We also concur on the importance of providing stakeholders the opportunity for public debate. Prior to reading Dr. Murphy’s commentary, I was not aware of the complaint she received, and certainly support individual safeguarding as we all navigate the inevitable disagreements ahead. Nevertheless, open channels of communication and consultation remain a valuable and indispensable method to examine, and in some cases disrupt, established ways of thinking, and they must not be diminished.Reference s 1. Murphy DJ. The unwelcome consequences of Guideline authorship. BJOG 2023;00:1-2. 2. Hull PM, Thomas K, Skinner E, Dawes A, Christensen P. Re: assisted vaginal birth: green-top guideline no. 26: Montgomery is missing from RCOG’s assisted vaginal birth guideline. BJOG2020;127(10):1297–8. 3. Weston N. Making sense of commissioning Maternity Services in England – some issues for Clinical Commissioning Groups to consider . Royal College of Obstetricians and Gynaecologists, 14 August 2012. 4. Scientists awarded £1million to help women make childbirth choices. University of Aberdeen, 27 September 2022. https://www.abdn.ac.uk/news/16386/. Accessed 5 June 2023.

Background Individuals with cystic fibrosis (CF) often have psychological difficulties on top of their medically complex care, such as anxiety, depression, and medical mistrust. These have been shown to be associated with worse adherence, pulmonary function test results, and other health outcomes. In this pilot trial, we implemented a journaling program based on narrative therapy methodology to improve mental and physical health outcomes for individuals with CF. Methods Eight adolescents aged 12-17 with a confirmed diagnosis of CF followed in a single center cystic fibrosis clinic were emailed weekly journaling prompts that explored topics like: treatment adherence, feeling different with CF, anxiety, depression, and interpersonal relationships. Subjects were emailed surveys about their experience with the writing assignment, and baseline health data was collected from the electronic medical records. Results The average score for the Pediatric Symptom Checklist (PSC-17) decreased by 5.5 points, and the post-study average (mean 23.5, SD 12.2) fell to less than 28, which is the cutoff for screening positive for behavioral or emotional problems. Participants reported the study was enjoyable and had improvement in feelings of anxiety/depression. 100% of participants responded “Strongly Agree” to the statement “I recommend other people with CF to write about the topics from this study”. Conclusions The journaling intervention for individuals with CF was feasible and well received. Initial results show improvement in PSC-17 and other wellbeing measures. Further studies are needed to evaluate the impact of journaling on mental health and disease outcomes.

Little is known about the complications of COVID-19. What happens when a patient with carbon monoxide poisoning has complications from COVID-19 pneumonia (a disease that has emerged since 2019 and quickly caused a pandemic around the world)? We report a case of carbon monoxide poisoning with COVID-19 pneumonia resulting in secondary pneumomediastinum. The patient underwent systemic hyperbaric oxygen therapy for two weeks and most of his symptoms improved. This case illustrates the success of hyperbaric oxygen in the simultaneous treatment of COVID-19 pneumonia, pneumomediastinum, and carbon monoxide poisoning.

Objective: This retrospective observational cohort study aimed to assess the real-life application of bronchial challenge test (BCT) in the management of preschool children presenting with atypical recurrent respiratory symptoms (ARRS). Methods: We included children, aged 0.5-6 years referred to a pediatric-pulmonology clinic, who underwent BCT using methacholine or adenosine between 2012-2018 due to ARRS including uncertain severity of airway hyperactivity. BCT was considered positive based on spirometry results and/or wheezing, desaturation, and tachypnea reactions. We collected data on demographics, BCT results, pre-BCT treatment, post-BCT treatment change and post-BCT symptoms control. The primary outcome measure was the change in treatment post-BCT (step-up or step-down). Secondary outcome included clinical improvement observed 3-6 months after BCT. Results: A total of 228 children (55% males) with a mean age of 4.2±0.6 years underwent BCT (52% adenosine-BCT, 48% methacholine-BCT). Children referred for methacholine were significantly younger compared to adenosine (3.6±1.2 vs. 4.2±1.2 years, P<0.01). Methacholine and adenosine BCTs were positive in 95% and 61%, respectively. Overall, changes in management were observed in 122(53.5%) children following BCT, with 83(36.4%) being stepped up and 37(17%) being stepped down. Significantly more children in the methacholine group were stepped up compared to the adenosine (46% vs 28%, p=0.004). During the follow-up assessment, we observed a clinical improvement in 119/162 (73.4%) of the children. Conclusion: This study demonstrates the importance of BCT in the management of preschool children presenting to pediatric pulmonary-units with ARRS. The change in treatment and subsequent clinical improvement observed, highlight the added-value of BCT in this populations.

The stiffness of the tumor microenvironment (TME) is dynamic and drives metabolic reprogramming in cancer cells as a consequence of tumor progression. To demonstrate the possibility to modulate the mechano-metabolomic profile of breast cancers by tuning the mechanical property and dimensionality of extracellular matrices (ECMs), we cultured triple-negative MDA-MB-231 and luminal MCF-7 cells on 2D and in 3D hydrogels based on tyramine functionalized hyaluronic acid (HTA). Using high-throughput metabolomics analyses, we established that we can differentially regulate breast cancer mechano-metabolome. The stiff hydrogels resulted in upregulated lipid and amino acid metabolism along with increasing malignancy and chemoresistancy. Reprogramming in glucose metabolism is primarily observed in cells seeded on 2D hydrogels, whereas modifications in amino acid metabolism is predominant in cells embedded in 3D stiff hydrogels. These findings suggest that matrix stiffness and dimensions have decisive roles in reprogramming breast cancer metabolome, which is the hallmark of breast cancer development and progression.

The development of an urban rail transit network conforms to the characteristics of logistic dynamic equations. Studying the evolution laws of urban rail transit networks and accurately reproducing the entire process of evolution can provide targeted guidance for rail transit network planning and phased construction. This article studies the structure and evolution laws of urban rail transit networks and finds that the evolution and development of urban rail transit networks are based on the evolution of lines, which aligns with the evolution characteristics of hyperedge-driven hyper networks. At the same time, the links between lines have the evolutionary characteristics of combining randomness and prioritization. On this basis, a hyper network model of urban rail transit was established with stations as nodes and lines as hyperedges. Based on the allometry growth relationship between transfer nodes and common nodes in urban rail transit networks, this paper proposes a hyper network evolution model of rail transit that can simulate the evolution process and generate a network similar to the existing network. Finally, a comparative analysis was conducted between the network generated by the model and four different levels of urban rail transit networks, including Beijing, Shanghai, Guangzhou, and Tianjin. The evolutionary network generated by the new model is highly consistent with the leading critical indicators of the existing network and has a high degree of similarity. A comparative verification was conducted with the evolution data of the Beijing Rail Transit Network (1984-2020) over a total of 45 years. Both network evolution processes were found to conform to the dynamic logistic equation, proving that the evolution model can reproduce the evolution process of the urban rail transit network, which has practical guiding significance for the study of rail transit network evolution.

Soil bacterial taxa have important functional roles in ecosystems (e.g., nutrient cycling, soil formation, plant health). Many factors influence their assembly and regulation, with land cover type (e.g., remnant vegetation, agriculture, urban parks) and plant-soil feedbacks being two well studied factors. However, changes in soil bacterial communities in situ over light-dark cycles have received little attention, despite plants and some bacteria having endogenous circadian rhythms that could influence soil bacterial communities. We sampled surface soils in situ across 24-hour light-dark cycles (at 00:00, 06:00, 12:00, 18:00) at two land cover types (remnant vegetation vs. cleared, grassy areas) and applied 16S rRNA amplicon sequencing to investigate changes in bacterial communities. We show that land cover type strongly affected soil bacterial diversity, with soils under native vegetation expressing 15.41-16.42% lower alpha diversity but 4.92-10.67% greater heterogeneity than soils under cleared vegetation. In addition, we report time-dependent and site-specific changes in bacterial network complexity and between 598-922 ASVs showing significant changes in relative abundance across times. Native site node degree (bacterial interactions) at phylum level was 16.0% higher in the early morning hours compared to the afternoon/evening. Our results demonstrate for the first time that light-dark cycles have subtle yet important effects on the composition of soil bacterial communities in situ and that land cover influences these dynamics. We provide a new view of soil microbial ecology and suggest that future studies should consider the time of day when sampling soil bacteria.

The new era of automation is obsoleting the antiquated manual systems rapidly. Global trends are shifting towards small integrated systems which are smarter, more user-friendly and remotely accessible. This project presents an intelligent battery management system for solar and off-peak energy systems to meet the global demands. This micro-controller-based battery management system stores off-peak and solar energy in the battery pack consisting of four batteries and aptly supplies this energy to drive DC and AC loads. The controller is programmed to automatically shift the load to the next battery in the sequence when the previous battery is discharged below the permissible limit. The controller also connects the discharged battery to a smart charging system that automatically starts charging to maintain an uninterruptible power supply. Moreover, the system has a monitoring and control mechanism that prevents intrinsic and extrinsic factors (such as temperature) from affecting the health of the batteries. The voltage difference among cells within a battery undermines the battery life severely. A smart charge equalizer is thus incorporated in the system to deter this detrimental effect. In addition, the state of charge of each battery is graphically illustrated through Internet of Things (IoT) so that any anomaly can be detected and treated, and remote access can be assured. Thus, this system provides a smart and effective way to store energy and use it efficiently. Keywords: Battery Management, Charge equalization, Uninterruptible power supply, Off-peak, Internet of Things (IoT), Arduino (microcontroller)