bluuebunny/crossref_metadata_2025_split huggingface dataset:
Consumer purchase intention towards a quick response (QR) code for antibiotic information: an exploratory study
Authors: Bradford Hollie , McKernan Claire , Elliott Chris , Dean Moira 
Published: April 2022

AbstractIncreasing awareness of antimicrobial resistance (AMR) has raised concerns surrounding antimicrobial use (AMU) in food-producing animals and has focused attention towards livestock production free from antibiotic use. As antibiotic-free livestock production proliferates in the UK, there is an increasing need to implement a system, such as the use of a QR code, to provide consumers with reliable antibiotic information while ensuring that animal welfare standards are upheld. Subsequently, this study aims to explore UK consumers’ perceptions and purchase intention towards QR code labelled pork, and to identify determinants of its purchase, incorporating various theoretical constructs from the Theory of Planned Behaviour. Based on results, consumers’ perceptions, perceived control, and attitudes towards QR code labelled pork are the main determinants of purchase intention. QR code labelled pork may offer a suitable alternative to antibiotic-free labelling as it provides consumers with antibiotic information without inadvertently communicating that conventionally produced pork is unsafe.
CCNE1 amplification is synthetic lethal with PKMYT1 kinase inhibition
Authors: Gallo David , Young Jordan T. F. , Fourtounis Jimmy , Martino Giovanni , Álvarez-Quilón Alejandro , Bernier Cynthia , Duffy Nicole M. , Papp Robert , Roulston Anne , Stocco Rino , Szychowski Janek , Veloso Artur , Alam Hunain , Baruah Prasamit S. , Fortin Alexanne Bonneau , Bowlan Julian , Chaudhary Natasha , Desjardins Jessica , Dietrich Evelyne , Fournier Sara , Fugère-Desjardins Chloe , Goullet de Rugy Theo , Leclaire Marie-Eve , Liu Bingcan , Bhaskaran Vivek , Mamane Yael , Melo Henrique , Nicolas Olivier , Singhania Akul , Szilard Rachel K. , Tkáč Ján , Yin Shou Yun , Morris Stephen J. , Zinda Michael , Marshall C. Gary , Durocher Daniel 
Published: April 2022

AbstractAmplification of the CCNE1 locus on chromosome 19q12 is prevalent in multiple tumour types, particularly in high-grade serous ovarian cancer, uterine tumours and gastro-oesophageal cancers, where high cyclin E levels are associated with genome instability, whole-genome doubling and resistance to cytotoxic and targeted therapies1–4. To uncover therapeutic targets for tumours with CCNE1 amplification, we undertook genome-scale CRISPR–Cas9-based synthetic lethality screens in cellular models of CCNE1 amplification. Here we report that increasing CCNE1 dosage engenders a vulnerability to the inhibition of the PKMYT1 kinase, a negative regulator of CDK1. To inhibit PKMYT1, we developed RP-6306, an orally bioavailable and selective inhibitor that shows single-agent activity and durable tumour regressions when combined with gemcitabine in models of CCNE1 amplification. RP-6306 treatment causes unscheduled activation of CDK1 selectively in CCNE1-overexpressing cells, promoting early mitosis in cells undergoing DNA synthesis. CCNE1 overexpression disrupts CDK1 homeostasis at least in part through an early activation of the MMB–FOXM1 mitotic transcriptional program. We conclude that PKMYT1 inhibition is a promising therapeutic strategy for CCNE1-amplified cancers.
Mindfulness-based online intervention increases well-being and decreases stress after Covid-19 lockdown
Authors: Bossi Francesco , Zaninotto Francesca , D’Arcangelo Sonia , Lattanzi Nicola , Malizia Andrea P. , Ricciardi Emiliano 
Published: April 2022

AbstractMindfulness interventions were shown to be effective in improving well-being and reducing perceived stress in several conditions. These effects were also found in online mindfulness-based training, especially in employees in organizational environments. The aim of this study was to test the effectiveness of an online mindfulness intervention on healthy employees, especially after the first Italian Covid-19 lockdown. Participants in the intervention group underwent an 8-week mindfulness online training program based on the Mindfulness-Based Stress Reduction (MBSR) protocol compared to a control (no-intervention) group. All participants filled in weekly surveys for the whole intervention duration via online questionnaires to measure their habits, mindfulness (FFMQ-15), emotion regulation (ERQ), positive and negative affect (PANAS), depression, anxiety and stress (DASS-21), resilience (RSA) and insomnia (ISI). 69 participants in the intervention group and 63 in the no-treatment control group were considered in the longitudinal analyses. We found significant differences between the intervention and control groups over time in the measures of mindfulness (in particular the nonreactivity subscale), positive affect, depression, and insomnia. Moreover, we found that the frequency of practice and ease perceived in practicing were positively correlated to several indices of well-being (mindfulness, positive affect, cognitive reappraisal) and negatively correlated to several indices of stress (negative affect, depression, anxiety, stress, insomnia, expressive suppression). These results show the importance and effectiveness of online mindfulness training programs to cope with stress among employees, especially after the Covid-19 lockdown.
Development and validation of cost-effective one-step multiplex RT-PCR assay for detecting the SARS-CoV-2 infection using SYBR Green melting curve analysis
Authors: Sarkar Shovon Lal , Alam A. S. M. Rubayet Ul , Das Prosanto Kumar , Pramanik Md. Hasan Ali , Al-Emran Hassan M. , Jahid Iqbal Kabir , Hossain M. Anwar 
Published: April 2022

AbstractTaqMan probe-based commercial real-time (RT) PCR kits are expensive but most frequently used in COVID-19 diagnosis. The unprecedented scale of SARS-CoV-2 infections needs to meet the challenge of testing more persons at a reasonable cost. This study developed a simple and cost-effective alternative diagnostic method based on melting curve analysis of SYBR green multiplex assay targeting two virus-specific genes along with a host-specific internal control. A total of 180 randomly selected samples portioning into two subsets based on crude and high-quality RNA extraction were used to compare this assay with a nationwide available commercial kit (Sansure Biotech Inc., (Hunan, China)), so that we could analyze the variation and validity of this in-house developed method. Our customized-designed primers can specifically detect the viral RNA likewise Sansure. We separately optimized SYBR Green RT-PCR reaction of N, E, S, and RdRp genes based on singleplex melting curve analysis at the initial stage. After several rounds of optimization on multiplex assays of different primer combinations, the optimized method finally targeted N and E genes of the SARS-CoV-2 virus, together with the β-actin gene of the host as an internal control. Comparing with the Sansure commercial kit, our proposed assay provided up to 97% specificity and 93% sensitivity. The cost of each sample processing ranged between ~2 and ~6 USD depending on the purification level of extracted RNA template. Overall, this one-step and one-tube method can revolutionize the COVID-19 diagnosis in low-income countries.
Effectiveness of emotional freedom techniques (EFT) vs sleep hygiene education group therapy (SHE) in management of sleep disorders among elderly
Authors: Souilm Nagwa , Elsakhy Nancy Mahmoud , Alotaibi Yasir A. , Ali Safaa Abdelazem Osman 
Published: April 2022

AbstractSleep disorders are common among elderly persons, with deleterious effects on their physical and mental health. Many approaches are used to manage such disorders. To compare the Emotional Freedom Techniques–Insomnia (EFT-I) and Sleep Hygiene Education (SHE) group therapy as two treatments for insomnia in a geriatric population when delivered, and their effects on sleep quality, depression, and life satisfaction. This open-label randomized controlled trial study was conducted at El-Abbasia Mental Hospital and Osana family wellness elderly nursing home at Maadi, Cairo. It included 60 elderly patients suffering insomnia sleep problems randomized into two equal groups: one group received a Sleep Hygiene Education (SHE) intervention, the other had a form of Emotional Freedom Techniques (EFT) adapted for use with insomnia (EFT-I). A self-administered questionnaire with tools for sleep quality (Pittsburgh Sleep Quality Index [PSQI]), depression, and life satisfaction was used to collect data. The fieldwork was from January to March 2021. The two groups had equal median age (70 years), and almost similar gender and place of residence distribution. After the intervention, 73.3% of the EFT group had good sleep quality, compared to 100.0% in the SHE group (P = 0.005); the median score of depression (3.00) was higher in the EFT group compared with 0.00 in the SHE group (P < 0.001); as for life satisfaction, the difference was not statistically significant. The multivariate analyses identified the study intervention as the main statistically significant negative predictor of PSQI and depression scores, and a positive predictor of life satisfaction. Being in the SHE group was a negative predictor of PSQI and depression scores. Both SHE and EFT approaches are beneficial for elderly patients’ sleep quality, with SHE being more effective in ameliorating sleep. Further replication of this study is needed on a large probability sample from different geographical areas to help for the generalization of the results.
Deep learning methodology for predicting time history of head angular kinematics from simulated crash videos
Authors: Hasija Vikas , Takhounts Erik G. 
Published: April 2022

AbstractHead kinematics information is important as it is used to measure brain injury risk. Currently, head kinematics are measured using wearable devices or instrumentation mounted on the head. This paper evaluates the deep learning approach in predicting time history of head angular kinematics directly from videos without any instrumentation. To prove the concept, a deep learning model was developed for predicting time history of head angular velocities using finite element (FE) based crash simulation videos. This FE dataset was split into training, validation, and test datasets. A combined convolutional neural network and recurrent neural network based deep learning model was developed using the training and validations sets. The test (unseen) dataset was used to evaluate the predictive capability of the deep learning model. On the test dataset, correlation coefficient obtained between the actual and predicted peak angular velocities was 0.73, 0.85, and 0.92 for X, Y, and Z components respectively.
Predictors and predictive effects of acute pain trajectories after gastrointestinal surgery
Authors: Liu Qing-Ren , Dai Yu-Chen , Ji Mu-Huo , Qiu Li-Li , Liu Pan-Miao , Sun Xing-Bing , Yang Jian-Jun 
Published: April 2022

AbstractFew studies have investigated factors associated with acute postsurgical pain (APSP) trajectories, and whether the APSP trajectory can predict chronic postsurgical pain (CPSP) remains unclear. We aimed to identify the predictors of APSP trajectories in patients undergoing gastrointestinal surgery. Moreover, we hypothesised that APSP trajectories were independently associated with CPSP. We conducted a prospective cohort study of 282 patients undergoing gastrointestinal surgery to describe APSP trajectories. Psychological questionnaires were administered 1 day before surgery. Meanwhile, demographic characteristics and perioperative data were collected. Average pain intensity during the first 7 days after surgery was assessed by a numeric rating scale (NRS). Persistent pain intensity was evaluated at 3 and 6 months postoperatively by phone call interview. CPSP was defined as pain at the incision site or surrounding areas of surgery with a pain NRS score ≥ 1 at rest. The intercept and slope were calculated by linear regression using the least squares method. The predictors for the APSP trajectory and CPSP were determined using multiple linear regression and multivariate logistic regression, respectively. Body mass index, morphine milligram equivalent (MME) consumption, preoperative chronic pain and anxiety were predictors of the APSP trajectory intercept. Moreover, MME consumption and preoperative anxiety could independently predict the APSP trajectory slope. The incidence of CPSP at 3 and 6 months was 30.58% and 16.42% respectively. APSP trajectory and age were predictors of CPSP 3 months postoperatively, while female sex and preoperative anxiety were predictive factors of CPSP 6 months postoperatively. Preoperative anxiety and postoperative analgesic consumption can predict APSP trajectory. In addition, pain trajectory was associated with CPSP. Clinicians need to stay alert for these predictors and pay close attention to pain resolution.
Comparing prognostic value of preoperative platelet indexes in patients with resectable gastric cancer
Authors: Shi Hongtai , Wang Hongsheng , Pan Jie , Liu Zhenhua , Li Zuoan 
Published: April 2022

AbstractThe ratio of mean platelet volume (MPV) to count (PC) (MPV/PC) has been applied in the diagnosis and prognosis of various malignancies. However, the prognostic value of MPV/PC in gastric cancer has not been studied yet. This study aims to explore the prognostic value of neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), combined neutrophil-platelet score (CNPS), systemic immune-inflammation index (SII) and MPV/PC in patients with resectable gastric cancer. In this study, the medical records of patients with gastric cancer in two centers were retrospectively analyzed. Kaplan–Meier and log-rank were tests applied to analyze the survival differences of patients with various inflammation indexes. A nomogram prognostic model was established to predict the 3- and 5-year survival rate of patients with resectable gastric cancer. In the two cohorts, Kaplan–Meier analysis that the postoperative survival time of gastric cancer patients with low MPV/PC, high NLR, high PLR and high SII was significantly shorter than that of patients with high MPV/PC, low NLR, low PLR or low SII. Compared with NLR, PLR, SII and CNPS, MPV/PC was more accurate in determining the prognosis of patients with gastric cancer than other indexes, and multivariate analysis confirmed that MPV/PC was an independent prognostic factor for patients with resectable gastric cancer. The nomogram model established based on tumor size, TNM stage and MPV/PC was more accurate than TNM stage in predicting the 3- and 5-year survival rate of patients with resectable gastric cancer. Preoperative MPV/PC is a new independent prognostic index and a potential marker for treatment response monitoring in patients with resectable gastric cancer. The nomogram model for postoperative prognosis of gastric cancer established based on MPV/PC, tumor size and TNM stage is helpful for developing more accurate and timely individualized therapeutic regimens.
Harnessing the immunotherapeutic potential of CDK4/6 inhibitors in melanoma: is timing everything?
Authors: Lelliott Emily J. , Sheppard Karen E. , McArthur Grant A. 
Published: April 2022

AbstractCDK4/6 inhibitors (CDK4/6i) were developed as a cancer therapeutic on the basis of their tumor-intrinsic cytostatic potential, but have since demonstrated profound activity as immunomodulatory agents. While currently approved to treat hormone receptor-positive breast cancer, these inhibitors are under investigation in clinical trials as treatments for a range of cancer types, including melanoma. Melanoma is a highly immunogenic cancer, and has always been situated at the forefront of cancer immunotherapy development. Recent revelations into the immunotherapeutic activity of CDK4/6i, therefore, have significant implications for the utility of these agents as melanoma therapies. In recent studies, we and others have proven the immunomodulatory effects of CDK4/6i to be multifaceted and complex. Among the most notable effects, CDK4/6 inhibition induces transcriptional reprogramming in both tumor cells and immune cells to enhance tumor cell immunogenicity, promote an immune-rich tumor microenvironment, and skew T cell differentiation into a stem-like phenotype that is more amenable to immune checkpoint inhibition. However, in some contexts, the specific immunomodulatory effects of CDK4/6i may impinge on anti-tumor immunity. For example, CDK4/6 inhibition restricts optimal T cells expansion, and when used in combination with BRAF/MEK-targeted therapies, depletes immune-potentiating myeloid subsets from the tumor microenvironment. We propose that such effects, both positive and negative, may be mitigated or exacerbated by altering the CDK4/6i dosing regimen. Here, we discuss what the most recent insights mean for clinical trial design, and propose clinical considerations and strategies that may exploit the full immunotherapeutic potential of CDK4/6 inhibitors.
Nutrient and salt depletion synergistically boosts glucose metabolism in individual Escherichia coli cells
Authors: Glover Georgina , Voliotis Margaritis , Łapińska Urszula , Invergo Brandon M. , Soanes Darren , O’Neill Paul , Moore Karen , Nikolic Nela , Petrov Peter G. , Milner David S. , Roy Sumita , Heesom Kate , Richards Thomas A. , Tsaneva-Atanasova Krasimira , Pagliara Stefano 
Published: April 2022

AbstractThe interaction between a cell and its environment shapes fundamental intracellular processes such as cellular metabolism. In most cases growth rate is treated as a proximal metric for understanding the cellular metabolic status. However, changes in growth rate might not reflect metabolic variations in individuals responding to environmental fluctuations. Here we use single-cell microfluidics-microscopy combined with transcriptomics, proteomics and mathematical modelling to quantify the accumulation of glucose withinEscherichia colicells. In contrast to the current consensus, we reveal that environmental conditions which are comparatively unfavourable for growth, where both nutrients and salinity are depleted, increase glucose accumulation rates in individual bacteria and population subsets. We find that these changes in metabolic function are underpinned by variations at the translational and posttranslational level but not at the transcriptional level and are not dictated by changes in cell size. The metabolic response-characteristics identified greatly advance our fundamental understanding of the interactions between bacteria and their environment and have important ramifications when investigating cellular processes where salinity plays an important role.
Highly-resolved interannual phytoplankton community dynamics of the coastal Northwest Atlantic
Authors: Robicheau Brent M , Tolman Jennifer , Bertrand Erin M , LaRoche Julie 
Published: April 2022

Abstract
Microbial observatories can track phytoplankton at frequencies that resolve monthly, seasonal, and multiyear trends in environmental change from short-lived events. Using 4-years of weekly flow cytometry along with chloroplast and cyanobacterial 16S rRNA gene sequence data from a time-series station in the coastal Northwest Atlantic (Bedford Basin, Nova Scotia, Canada), we analyzed temporal observations for globally-relevant genera (e.g., Bolidomonas, Teleaulax, Minidiscus, Chaetoceros, Synechococcus, and Phaeocystis) in an oceanic region that has been recognized as a likely hotspot for phytoplankton diversity. Contemporaneous Scotian Shelf data also collected during our study established that the major phytoplankton within the Bedford Basin were important in the Scotian Shelf during spring and fall, therefore pointing to their broader significance within the coastal Northwest Atlantic (NWA). Temporal trends revealed a subset of indicator taxa along with their DNA signatures (e.g., Eutreptiella and Synechococcus), whose distribution patterns make them essential for timely detection of environmentally-driven shifts in the NWA. High-resolution sampling was key to identifying important community shifts towards smaller phytoplankton under anomalous environmental conditions, while further providing a detailed molecular view of community compositions underpinning general phytoplankton succession within the coastal NWA. Our study demonstrates the importance of accessible coastal time-series sites where high-frequency DNA sampling allows for the detection of shifting baselines in phytoplankton communities.
Farm-scale differentiation of active microbial colonizers
Authors: King William L , Kaminsky Laura M , Richards Sarah C , Bradley Brosi A , Kaye Jason P , Bell Terrence H 
Published: April 2022

Abstract
Microbial movement is important for replenishing lost soil microbial biodiversity and driving plant root colonization, particularly in managed agricultural soils, where microbial diversity and composition can be disrupted. Despite abundant survey-type microbiome data in soils, which are obscured by legacy DNA and microbial dormancy, we do not know how active microbial pools are shaped by local soil properties, agricultural management, and at differing spatial scales. To determine how active microbial colonizers are shaped by spatial scale and environmental conditions, we deployed microbial traps (i.e. sterile soil enclosed by small pore membranes) containing two distinct soil types (forest; agricultural), in three neighboring locations, assessing colonization through 16S rRNA gene and fungal ITS amplicon sequencing. Location had a greater impact on fungal colonizers (R2 = 0.31 vs. 0.26), while the soil type within the microbial traps influenced bacterial colonizers more (R2 = 0.09 vs. 0.02). Bacterial colonizers showed greater colonization consistency (within-group similarity) among replicate communities. Relative to bacterial colonizers, fungal colonizers shared a greater compositional overlap to sequences from the surrounding local bulk soil (R2 = 0.08 vs. 0.29), suggesting that these groups respond to distinct environmental constraints and that their in-field management may differ. Understanding how environmental constraints and spatial scales impact microbial recolonization dynamics and community assembly are essential for identifying how soil management can be used to shape agricultural microbiomes.