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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.

This work demonstrates protein aggregation and oligomerization can be evaluated by solid-state nanopore method. A silicon nitride nanopore sensor is used to characterize a model protein ß-lactoglobulin variant A (βLGa) amyloid formation and native-state oligomerization in close to biological solution condition at single molecule level. To verify the results obtained from nanopore measurements, atomic force microscopy (AFM) and dynamic light scattering (DLS) techniques are used to measure and calibrate the same βLGa protein samples incubated at different stages. Using the parameters measured by DLS, AFM, and by measuring linear and circular dsDNA molecules in the same nanopore, we estimate the length and diameter of amyloid fibrils, and the number of βLGa aggregation and the distribution of these species. Furthermore, as a demonstration of the nanopore technique, βLGa self-association and aggregation at pH 4.6 as a function of temperature are measured in 2M and 0.1M salt. Protein aggregation has been linked to many chronic and devastating neurodegenerative human diseases and is also strongly associated with aging. This study shows the advantages and limitations of evaluating protein aggregation by solid-state nanopore technology.

Stress has been shown to influence working memory (WM). However, little is known about the effects of acute stress on pilots’ WM with varying WM loads. The current study aims to shed more light on this issue. Forty-two pilots were randomly assigned to the stress or the control group. The stress group experienced acute stress induced by the modified Trier Social Stress Test (TSST), and the control group did not receive any stress induction. Then, all participants performed N-back tasks under varying levels of WM load (0-back, 1-back, and 2-back) to examine their WM. We measured their State-Trait Anxiety Inventory scores and salivary cortisol concentrations repeatedly throughout the experiment to determine the effects of induced stress. The results showed that (1) the modified TSST effectively induced acute stress in the stress group; (2) as the WM load level increased, the reaction time increased, and the accuracy decreased; and (3) there were no significant differences in reaction time between the two groups at different WM load conditions. However, there was an interaction effect for accuracy, which showed that the accuracy of the stress group was higher than that of the control group at the medium WM load (1-back). These findings suggest that acute stress improves pilots’ WM accuracy during moderately difficult tasks. The results of this study provide a theoretical basis for improving stress management and training pilots’ WM abilities.

Aims: To evaluate the efficacy of estradiol in the treatment of menopausal hot flushes in women, quantify its efficacy characteristics as well as the placebo effect, and explore the influencing factors to establish an efficacy scale for the development of drugs for the treatment of menopausal hot flushes. Data and methods: A literature search was conducted to include clinical studies on estradiol for the treatment of menopausal hot flushes. Data of demographics, dose, administration route and efficacy were extracted and used to construct an efficacy model. Model simulations were used to obtain the efficacy in different populations with different doses and administration routes. Results: Seventeen studies, including 17 groups of placebo (1698 subjects) and 29 groups of estradiol (3013 subjects) with daily doses of estradiol ranging from 0.01 to 2 mg, were included. There were significant effects of administration route (oral or transdermal), ethnicity (Caucasian or Asian) and duration of menopause on model parameters. The efficacy was higher in non-Asians than in Asians, and weaker in menopausal women with > 60 weeks of menopause than < 60 weeks. The placebo effect was higher for shorter menopause duration, with a time to ED50 of 3.15 weeks for Asian and 1.96 weeks for non-Asians. Conclusion: The standard longitudinal efficacy scales of estradiol on menopausal hot flushes were constructed, and no difference was found in the efficacy of estradiol in Asians and non-Asians. The standard efficacy of estradiol in this study could inform the efficacy evaluation in new drug development.

While the response of Arabidopsis thaliana to either drought, herbivory or fungal infection has been well-examined, the consequences of exposure to a series of such (a)biotic stresses are not well studied. This work reports on the genetic mechanisms underlying Arabidopsis response to single osmotic stress, and to combinatorial stress, either fungal infection using Botrytis cinerea or herbivory using Pieris rapae caterpillars followed by an osmotic stress treatment. Several small effect genetic loci associated with rosette dry weight (DW), rosette water content (WC), and the projected rosette leaf area (PLA) in response to combinatorial stress were mapped using univariate and multi-environment genome wide association approaches. A SNP associated with DROUGHT INDUCED 19 (DI19) was identified by both approaches, supporting its potential involvement in the response to combinatorial stress. Several SNPs were found to be in linkage disequilibrium with known stress-responsive genes such as PEROXIDASE 34 ( PRX34), BASIC LEUCINE ZIPPER 25 ( bZIP25), RESISTANCE METHYLATED GENE 1 ( RMG1), and WHITE RUST RESISTANCE 4 (WRR4). An antagonistic effect between biotic and osmotic stress was found for the prx34 and arf4 mutants, which suggests PRX34 and ARF4 to play an important role in the response to the combinatorial stress.

Seed production and dispersal are crucial ecological processes impacting plant demography, species distributions, and community assembly. Plant-animal interactions commonly mediate both seed production and seed dispersal, but current research often examines pollination and seed dispersal separately, which hinders our understanding of how pollination services affect downstream dispersal services. To fill this gap, we propose a conceptual framework exploring how pollen limitation can impact the effectiveness of seed dispersal for endozoochorous and myrmecochorous plant species. We summarize the quantitative and qualitative effects of pollen limitation on plant reproduction and use Optimal Foraging Theory to predict its impact on the foraging behavior of seed dispersers. In doing so, we offer a new framework that poses numerous hypotheses and empirical tests to investigate downstream effects of pollen limitation on seed dispersal effectiveness and, consequently, post-dispersal ecological processes occurring at different levels of biological organization. Finally, considering the importance of pollination and seed dispersal outcomes to plant eco-evolutionary dynamics, we discussed the implications of our framework for future studies exploring the demographic and evolutionary impacts of pollen limitation for animal-dispersed plants.

Vegetative insecticidal proteins (Vips) are widely used in pest management, but Vip resistance is a big threat. DNA methylation plays important roles in regulating the response of biological organisms to environmental stress. In this study, DNA methylation map was developed for fall armyworm (FAW, Spodoptera frugiperda), and its function in regulating FAW Vip3Aa resistance was explored. FAW was screened by Vip3Aa for 10 generations, and bioassays indicated that Vip3Aa resistance increased trans-generationally. Based on the comparison of DNA methylation maps between Vip3Aa-resistant and -susceptible strains showed that gene body methylation was positively correlated with its expression. Moreover, the study demonstrated that a reduction in the methylation density within the gene body of a 3’5’-cyclic nucleotide phosphodiesterase gene resulted in decreased expression and increased resistance of FAW to Vip3Aa, which was validated through RNAi experiments. The mechanism of Vip3Aa resistance will improve the understanding of DNA methylation and its function in lepidoptera and provide a new perspective for making strategies to pest management.

Abiotic stresses as salinity, and boron toxicity, and deficiency are commonly found in arid and semi-arid areas were broccoli is abundantly grown. In this work, the physiological response of broccoli leaves (including growth, relative water content, stomatal conductance, and mineral concentration) was studied under salinity and boron stresses (deficiency and toxicity), individually or in combination. Also, the molecular study of PIP aquaporins were studied in relation to their presence in plasma membrane PIP presence and their membrane lipid environment. The results showed that only the combination of salinity and boron deficiency decreased plant biomass, suggesting good adaptation to the other treatments. Changes in stomatal conductance and mineral nutrients suggest that the adaptation was related to water and boron transport through leaves, involving aquaporins since avoidance strategy was observed. Furthermore, changes in aquaporins PIP expression revealed that each individual aquaporin is involved in each treatment, either alone or in combination. However, the discrepancy between the presence of aquaporins in the plasma membrane and microsomal fraction pointed towards the regulation of trafficking and membrane composition (lipids and proteins) should be highly present in this plant under stress.

With the vigorous development of power system, fault diagnosis of power transformers is very important to ensure the normal operation of the power system. However, the traditional transformer monitoring methods have blind spots, and the diagnosis results depend heavily on the experience of the managers. At present, it is urgent to develop new technologies to improve the accuracy of transformer fault diagnosis. How to diagnose transformer faults quickly, accurately, and effectively has become a difficult problem. Encouragingly, acoustic imaging, as a visual technology of sound field, promotes the development of transformer fault diagnosis. In this paper, the principles and technical status of acoustic imaging are summarized. Meanwhile, the covariance matrix fitting (CMF) beamforming algorithm is compared with the traditional beamforming algorithm, and the main factors affecting the performance of the array beamforming algorithm are simulated and analyzed. Finally, an acoustic imaging technology for transformer fault diagnosis based on CMF algorithm is proposed. This technology can accurately diagnose the transformer fault state according to the distribution of the internal sound field of the transformer, improve the efficiency of fault diagnosis, and promote the construction of smart grid. Through the analysis and processing of the acoustic test data of seven power transformers with different voltage levels and loads, including 500kV Yanshan, 220kV Tinghu and Laoshan transformers in Wenshan Power Supply Bureau, the test results prove that the acoustic imaging technology based on CMF algorithm can accurately and conveniently diagnose transformer faults.

The role of hydroxychloroquine (HCQ) in lowering the viral load of patients with COVID-19 is controversial. In our Institute, we treated more than 30,000 people with COVID-19 in 2020 and 2021, using the same diagnostic tools and the same treatment dosages. In this retrospective comparative study of data collected over this period, we aimed to compare the viral clearance in the nasopharynx as determined by qPCR in patients who were treated with HCQ and those who were not. As a new feature, we adjusted the data according to the most significant confounding factors (age, initial viral load, and timescale between the onset of symptoms and treatment). Of the 1 276 patients selected from our database, 776 were treated with HCQ and 500 were not. Viral clearance in the treatment group was reached significantly earlier than in the non-treatment group, at days 5, 10 and 30. These differences remain significant after adjustments for confounding factors. In conclusion, although age, initial viral load, and time to treatment do influence the viral load in patients with COVID-19, hydroxychloroquine associated with azithromycin still independently significantly lowered viral load more rapidly than other treatments, including azithromycin alone.

Background: Loneliness is a “hallmark” of dissociative disorders (DD), but its impact on DD patients is understudied in the field. Similarly, therapeutic modalities best suited for DD patients is an area of controversy; with research advocating cognitive therapies (CTs) despite the risk of retriggering trauma in patients. Research objectives: 1. To explore if dissociative episodes or phases are triggered in individuals as a result of loneliness, using mental healthcare professionals’ experiences in treating such patients. 2. To discuss participants’ recommended therapeutic techniques for DD patients experiencing loneliness. Method: Using a qualitative design, fourteen trauma and dissociation practitioners were interviewed with semi-structured questions, and a coded thematic analysis was conducted to extract codes, sub-themes, and themes from the data. Results: The findings show a two-way, yet non-linear relationship between loneliness as a trigger and the use of dissociation to cope with it. Participants strongly advocated the use of trauma-based modalities such as EMDR. Discussion and Conclusion: The severer the trauma and the less effective the patients’ coping mechanisms are, the severer their dissociation is, and their inability to connect to their own selves, and in turn, to others, which causes them to seek isolation. However, supportive, healthy networks, when patients seek/have them, contribute significantly to developing a sense of safety, which allows DD patients to feel more grounded in their outer realities and allows them to lead more satisfying lives. Practitioners agreed that safe therapeutic alliances are pivotal for patients; it allows them to connect more to their therapists, and subsequently to their social networks. Furthermore, all practitioners advocated moving away from using extensive CTs with DD patients in the initial phase of grounding and moving towards trauma-based and psychodynamic-based modalities. Recommendations: For future research, it is recommended that this link be studied by interviewing DD patients themselves, and/or conducted using quantitative designs to raise test-retest reliability.

Non-suicidal self-injury is an important public health problem, which is closely related to suicidal behavior and has attracted wide attention from researchers. This study recruited 1207 adolescents to systematically explore the relationship between cumulative risks and non-suicidal self-injuries using scales and questionnaires. It also compared the influences of various risk factors on self-injurious behaviour and researched the protective effect of personality strengths (mindfulness, hope, openness, grit, and meaning in life) as resilience factors. The results showed that the significant predictive effects of cumulative risks on adolescents’ non-suicidal self-injury and adverse childhood experiences are greater predictors of adolescents’ non-suicidal self-injury than negative life events. Mindfulness and meaning in life are two protectors co-moderating the effects of cumulative risk on adolescents’ non-suicidal self-injury. This study has important implications for a better understanding of resilience. And more intervention and prevention strategies based on personality strengths for individuals experiencing adversity and stress could be effective in improving their psychosocial functioning.

It is challenging for a single development subject to complete complex scientific research tasks due to the peculiarities of saline-alkali land. Collaborative innovation and cooperation between development subjects are increasingly vital. This paper first constructs an undirected weighted collaborative innovation network from the upstream, midstream, and downstream levels of technological innovation for saline-alkali land development, analyzing the network’s structural characteristics and spatial distribution features. Then uses ERGM to explore the internal and external driving mechanism for network formation from network self-organization, subject characteristics, and exogenous environmental factors. The results demonstrate that the distribution of collaborative innovation networks for saline-alkali land development is relatively uniform. However, there are also clusters, and the clusters are mostly centered on universities and scientific research institutions. Both the development subjects and clusters present regional features. Centrality and transitivity are crucial in the internal driving mechanism. In the external driving mechanism, the Matthew effect is modest, and the Homozygous effect is considerable; Organizational and technical proximity play a positive role; Geographical and institutional proximity play a blocking role. This study also provides practical enlightenment for encouraging horizontal and vertical collaborative innovation of sustainable development of saline-alkali land.