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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.

Abstract Objective Nitrous oxide (N2O) may elicit antidepressant effects after its elimination from the brain. We sought to investigate whether N2O trigger slow-wave oscillations in electroencephalogram (EEG) after it´s administration, as we have recently seen in animal studies. Methods Twenty healthy male participants were randomly allocated to receive 50% N2O either continuously for 20 minutes (continuous group) or in two 10-minute inhalations (repeated group) with EEG recording. The subjective effects of N2O were studied with questionnaires. Results Fourteen participants completed the study (N=7/group). Overall group-level responses to N2O on EEG were variable, and no difference in delta-theta range was observed. A rebound increase in slow wave bands was seen in spectrograms (Fp2 electrode) in a few participants, more markedly after the second 10-minute exposure to N2O. Gamma oscillations enhanced during N2O administration along with reductions in alpha and low beta band activity. Conclusions Short exposure to N2O elicited slow-wave EEG oscillations during rebound phase only in small subset of participants. Significance This study reveals high individual variability in EEG responses to short exposure of 50% N2O. Hence, the ability of N2O to trigger rebound slow-wave EEG activity may require tailored dosing regimen for each individual.

Downhill Mountain Biking is an extreme sport requiring high mental strength to perform on the best level in a competition with only one run to win the race. The substantial challenge here is to control automatic processes like competitive anxiety and stress. Hypnosis can address these automatic processes. In our study, we developed and evaluated a hypnosis audio-intervention to activate the optimal racing mindset. In our study, 19 elite Downhill Mountainbike athletes registered at two consecutive races of the IXS Downhill Cup. After the first race, athletes listened to the hypnosis audio-intervention. In this intervention, we instructed the athletes how to activate their optimal mental state before the second race. At both races, we measured competitive anxiety, stress, self-confidence, state resilience, and flow with validated questionnaires and assessed resting heart rate variability as a physiological measure of resilience. Race-related somatic anxiety and subjective stress decreased significantly while self-confidence increased significantly from first to second race after athletes listened to the hypnosis. Heart rate variability was significantly increased at the second race indicating elevated vagal activity. When comparing race results of our participants to other elite athletes competing in the races but not listening to the hypnosis, we found that our study participants generally performed better in both races. The study shows that our hypnosis intervention was effective in reducing competitive anxiety and stress while increasing perceived resilience and self-confidence: After a self-administered hypnosis session, athletes were able to improve automatic processes responsible for putting them in their mental pole position.

Objective: To understand the effect of an uncivil environment on the performance of an obstetric team with a focus on non-technical skills, and to ascertain whether simulation training can be used to demonstrate the impact of incivility. Design: An interventional, simulation study. Setting: Wessex Deanery School of Obstetrics and Gynaecology (O&G), UK. Population or Sample: O&G trainees. Methods: Ethical approval was received from the University of Southampton Research Ethics Committee (81008). Following informed consent, twenty three trainees observed two simulated scenarios of the management of a postpartum haemorrhage (PPH) and completed a Team Emergency Assessment Measure (TEAM) questionnaire for each simulation. In the first scenario the anaesthetist was civil and in the second uncivil. ANOVA was used for statistical analysis, p values of <0.05 were considered statistically significant. Main Outcome Measures: TEAM observation questionnaire domains of leadership, teamwork and team management. Results: There was a significant reduction in the overall team performance in an uncivil environment compared to a civil one (p=0.006). The biggest differences in scores were observed in team morale (4.00/4.00 in the civil versus 2.22/4.00 in the uncivil simulation, p<0.001) and effective communication (4.00/4.00 in the civil versus 2.22/4.00 in the uncivil simulation, p<0.001). Conclusions: Incivility affects the ability of the multi-disciplinary team to effectively manage an obstetric emergency and simulation is an effective tool to demonstrate the impact of poor workplace behaviours.

In a growing world of technology, psychological disorders became a challenge to be solved. The methods used for cognitive stimulation are very conventional and based on one-way communication, which only rely on the material or method used for training of an individual. It doesn’t use any kind of feedback from the individual to analyze the progress of the training process. We have proposed a closed-loop methodology to improve the cognitive state of a person with ID (Intellectual disability). We have used a platform named ‘Armoni’, for providing training to the intellectually disabled individuals. The learning is performed in a closed-loop by using feedback in the form of change in affective state. For feedback to the Armoni, an EEG (Electroencephalograph) headband is used. All the changes in EEG are observed and classified against the change in the mean and standard deviation value of all frequency bands of signal. This comparison is being helpful in defining every activity with respect to change in brain signals. In this paper, we have discussed the process of treatment of EEG signal and its definition against the different activities of Armoni. We have tested it on 6 different systems with different age groups and cognitive levels.

Salvia rosmarinus, a commonly known aromatic plant belonging to the Salvia genus, is valued for its medicinal properties, derived primarily from the terpenoids present in its leaves. We have successfully created a chromosome-level genome assembly of S. rosmarinus, covering 1.24 Gb, with a scaffold N50 value of 107.45 Mb and 61,717 annotated protein-coding genes. Our analysis highlights a recent whole genome duplication (WGD) event as the primary driver of genomic rearrangement and fusion following speciation. As a result of the WGD, key genes involved in monoterpene biosynthesis, such as HMGR, 1,8-cineole synthase, and limonene synthase, underwent tandem duplication and double punctuation. Limonene synthase experienced a nonpolar mutation that favored structural diversity in monoterpene biosynthesis, while 1,8-cineole synthase underwent a polar mutation that favored 1,8-cineole(eucalyptol) accumulation. In addition, our analysis revealed differences in the mechanisms of diterpene biosynthesis between S. rosmarinus and S. miltiorrhiza, as evidenced by the tandem duplication, covariance, and high-level expression of genes essential for carnosol biosynthesis, specifically CYP76AK6–8. These findings no punctuation for understanding the molecular-level diversity of terpenoids in S. rosmarinus and will facilitate molecular breeding and quality improvement efforts for this economically important plant.

Escherichia Coli ( E. coli) is one of the most prevalent bacteria in the gut and plays an important role in the formation of the intestinal microbiome. In this study, Escherichia phage Ioannina, a novel member of Caudoviricetes, with high lytic activity against E. coli ATCC 25922, was isolated from hospital wastewater. Escherichia phage Ioannina was highly resistant to a broad range of temperatures and alkaline pH, but was sensitive to acidic pH. Whole genome sequencing of the phage, revealed that Escherichia phage Ioannina is a novel phage within the Dhillonvirus genus. Its genome is a 45,270 bp double-stranded DNA molecule that encodes 64 putative open reading frames (ORFs). The phylogenetic analysis of open reading frames, which diversified Escherichia phage Ioannina from other dhillonviruses, indicated that ORF31 (a putative tail fiber protein) presented higher similarity to representatives of other phage families. ORF31 was significantly more related to similar ORFs belonging to the Kuravirus and Tunavirus ( Drexlerviridae) genera, indicating a possible recombination event.

Objective: To characterize the metabolic variation in neonatal hair samples associated with intrauterine growth discordance in dichorionic-diamniotic (DCDA) twins and to evaluate the effects of specific metabolic alterations on later neurobehavioural outcomes in infancy. Design: Cohort-based case-control study Setting: Peking University Third Hospital Population: DCDA twins with birth weight discordance(DCDA-D) and birthweight concordance (DCDA-C) within a twin cohort recruited between September 2017 and December 2018 in Beijing, China. Methods: A specific hair metabolic profile of 14 pairs of DCDA-D twins was revealed using gas chromatography-mass spectrometry by comparing that of 28 pairs of DCDA-C twins. Pearson’s correlation was used to assess the relationship between the neonatal hair metabolome and neurocognitive outcomes, assessed using the Ages and the Infant’s Stages Questionnaires, third edition (ASQ-3) at 2 or 3 years of age. Main outcome measure: neonatal hair metabolome and long-term neurodevelopment. Results: A total of seventeen hair metabolites were significantly different within DCDA-D twin pairs compared to DCDA-C twins. Particularly, reduced levels of cysteine, threonine, and leucine were identified in both the larger and smaller DCDA-D twins compared with DCDA-C twins. The deregulated metabolic pathways including cysteine, methionine, aminoacyl-tRNA, nicotinate, and nicotinamide metabolism biosynthesis pathways in DCDA-D groups were positively correlated with infant neurocognitive development at 2 or 3 years of age, especially in problem-solving domains. Conclusion: Neonatal hair metabolic variations in utero of growth discordance in DCDA twins may be associated with poor neurocognitive development. Metabolome profiles of hair may be novel predictors of infant neurodevelopment longitudinally.

Background: Primary bone marrow diffuse large B-cell lymphoma (PBM-DLBCL) is a rare hematological malignancy with a poor prognosis. The lack of a clear definition and unified diagnostic criteria for this disease in the WHO classification poses challenges for its diagnosis and management. Patients and Methods: To gain insights into the clinicopathological characteristics of PBM-DLBCL and explore prognostic factors, we conducted a study using data from our center and published literature spanning from 2001 to 2022. A total of 70 patients were included in our analysis. Results: Univariate analysis revealed that patients presenting with B symptoms and higher IPI scores tended to have a poorer prognosis, although statistical significance was not achieved (P>0.05). However, patients who attained a complete response (CR) after initial therapy exhibited better outcomes (P=0.007). Intensive treatment regimens demonstrated potential benefits over general treatment approaches. Additionally, our investigation suggested that rituximab-based chemotherapy was associated with improved prognoses compared to other general regimens. Conclusion: PBM-DLBCL is an aggressive disease with distinct clinical, pathological, and imaging features. It is crucial to understand the clinical characteristics of PBM-DLBCL, identify clinical risks in a timely manner, and determine appropriate treatment regimens.

Introduction: Primary tracheal carcinoma is a rare and challenging disease that presents significant diagnostic and therapeutic difficulties. Delayed diagnosis due to misinterpretation of airway obstruction symptoms often leads to poorer prognoses for patients. This study aimed to explore the clinical manifestations and multidisciplinary treatment approaches for primary tracheal carcinoma in Bangladesh, with a focus on recent advancements in diagnosis and treatment. Methods: A retrospective observational study was conducted at Bangladesh Specialized Hospital Limited, involving patients aged over 30 who were diagnosed with tracheal carcinoma and underwent multidisciplinary treatment. Data were collected through patient interviews and medical record reviews. Descriptive and inferential statistical analyses were performed to examine demographic characteristics, histological variations, tumor locations, clinical signs and symptoms, treatment approaches, and outcomes. Results: Thirteen patients were included in the study, with a mean age of 49.15±10.50 years. The most common histological variations were invasive squamous cell carcinoma and adenoid cystic carcinoma. The upper trachea was the most prevalent tumor location. Dyspnea, cough, and hemoptysis were the most frequently reported symptoms. Surgical interventions, such as definitive surgery and apple coring surgery, were the primary treatment modalities. Multidisciplinary approaches including Adjuvant / definitive Radiotherapy resulted in a low rate of local recurrence, and patients with successful treatment had better survival outcomes. Conclusion: This study provides insights into the demographic and clinical characteristics of primary tracheal carcinoma in Bangladesh and highlights the importance of a multidisciplinary treatment approach. Further research with larger sample sizes is needed to validate these findings and improve diagnostic and therapeutic strategies for this rare malignancy.

Successful Surgical Management of Symptomatic Antenatally Diagnosed Congenital Pulmonary Airway Malformation: A Case Report

A document by Fabio Takagui. Click on the document to view its contents.

The hypothalamic-pituitary-adrenal (HPA) axis coordinates an organism’s response to environmental stress. The responsiveness and sensitivity of an offspring’s stress response may be shaped not only by stressors encountered in an organism’s early post-natal environment, but also by stressors in their parent’s environment. Yet, few studies have considered how stressors encountered in both of these early life environments may function together to impact the developing HPA axis. Here, we manipulated stressors in the parental and post-natal environments in a population of house sparrows (Passer domesticus) to assess the impact of these stressors on changes in DNA methylation in a suite of genes within the HPA axis. We found that nestlings that experienced early life stress across both life-history periods had higher DNA methylation in a critical HPA axis gene, the glucocorticoid receptor (NR3C1). In addition, we found that the life-history stage when stress was encountered impacted some genes (HSD11B1, NR3C1, and NR3C2) differently. We also found evidence for the mitigation of parental stress by post-natal stress (in HSD11B1 and NR3C2). Finally, by assessing DNA methylation in both the brain and the blood, we were able to evaluate cross-tissue patterns; while some differentially methylated regions were tissue-specific, we found cross-tissue changes in NR3C2 and NR3C1, suggesting that blood may be a potential biomarker for DNA methylation of specific genes. Our results provide a crucial first step in understanding the mechanisms by which early life stress in different life history periods contributes to changes in the epigenome of the HPA axis.