Comparative Study of Diluted Hydrogen Peroxide and Sulfur Hexafluoride in the Contrast-Enhanced Ultrasound Assessment of Anal Fistulas.

BACKGROUND: Endoanal ultrasound for the diagnosis of anal fistulas requires the injection of hydrogen peroxide, but it is often uncomfortable for the patient and possesses potential complications. Novel ultrasound contrast is currently available. OBJECTIVE: We aimed to assess the efficacy and safety of sulfur hexafluoride as an ultrasound contrast agent for the diagnosis of perianal fistula by comparing it with those of 50% diluted hydrogen peroxide. DESIGN: Double-blind superiority study with 4 consecutive visits to perform an ultrasound without contrast, a hydrogen peroxide-enhanced ultrasound, a sulfur hexafluoride-enhanced ultrasound and a rectal exploration in the operating room (the gold standard). The ultrasound images were independently reviewed by three expert surgeon sonographers. CLINICAL SETTING: This study was conducted at a single university hospital. PATIENTS: Data from 176 patients were evaluated. PRIMARY OUTCOME MEASURES: Demographic and exploratory data and the ultrasound findings related to the location of the internal fistula orifice, description of the primary and secondary tracts, and presence of cavities and sphincter defects were analyzed. The complications occurring before and after the contrast agent administration and the presence of pain measured using a score were considered. RESULTS: Eighty-eight patients were included (men: 71.5%; mean age: 48.3 years).62.5% had a complex type and 83.7% had a transsphincteric type. Sulfur hexafluoride-enhanced ultrasounds demonstrated a higher interobserver agreement in determining the secondary tracts (κ= 0.604) and anal fistula height (κ=0.604) compared with other methods. Both hydrogen peroxide-enhanced ultrasound (90.91%) and sulfur hexafluoride-enhanced ultrasound (89.77%) detected the internal orifice more frequently than ultrasounds without contrast (62.5%) (p < 0.001),with no differences between contrast agents (p = 0.810). Sulfur hexafluoride-enhanced ultrasound were less painful than peroxide-enhanced ultrasound (p < 0.001). LIMITATIONS: Most of the patients had transsphincteric anal fistulas. CONCLUSIONS: Sulfur hexafluoride proved comparable to hydrogen peroxide in evaluating fistulous tracts and identifying the internal orifice and additionally reduced significantly pain and discomfort. Furthermore, demonstrated a higher interobserver agreement in determining the secondary tracts and anal fistula height compared with other methods. See Video Abstract.

The Expression of Genes Related to Reverse Cholesterol Transport and Leptin Receptor Pathways in Peripheral Blood Mononuclear Cells Are Decreased in Morbid Obesity and Related to Liver Function.

Obesity is frequently accompanied by non-alcoholic fatty liver disease (NAFLD). These two diseases are associated with altered lipid metabolism, in which reverse cholesterol transport (LXRα/ABCA1/ABCG1) and leptin response (leptin receptor (Ob-Rb)/Sam68) are involved. The two pathways were evaluated in peripheral blood mononuclear cells (PBMCs) from 86 patients with morbid obesity (MO) before and six months after Roux-en-Y gastric bypass (RYGB) and 38 non-obese subjects. In the LXRα pathway, LXRα, ABCA1, and ABCG1 mRNA expressions were decreased in MO compared to non-obese subjects (p < 0.001, respectively). Ob-Rb was decreased (p < 0.001), whereas Sam68 was increased (p < 0.001) in MO. RYGB did not change mRNA gene expressions. In the MO group, the LXRα pathway (LXRα/ABCA1/ABCG1) negatively correlated with obesity-related variables (weight, body mass index, and hip), inflammation (C-reactive protein), and liver function (alanine-aminotransferase, alkaline phosphatase, and fatty liver index), and positively with serum albumin. In the Ob-R pathway, Ob-Rb and Sam68 negatively correlated with alanine-aminotransferase and positively with albumin. The alteration of LXRα and Ob-R pathways may play an important role in NAFLD development in MO. It is possible that MO patients may require more than 6 months following RYBGB to normalize gene expression related to reverse cholesterol transport or leptin responsiveness.

Proteomic analysis revealed that the oomyceticide phosphite exhibits multi-modal action in an oomycete pathosystem.

Phytopathogenic oomycetes constitute some of the most devastating plant pathogens and cause significant crop and horticultural yield and economic losses. The phytopathogen Phytophthora cinnamomi causes dieback disease in native vegetation and several crops. The most commonly used chemical to control P. cinnamomi is the oomyceticide phosphite. Despite its widespread use, the mode of action of phosphite is not well understood and it is unclear whether it targets the pathogen, the host, or both. Resistance to phosphite is emerging in P. cinnamomi isolates and other oomycete phytopathogens. The mode of action of phosphite on phosphite-sensitive and resistant isolates of the pathogen and through a model host was investigated using label-free quantitative proteomics. In vitro treatment of sensitive P. cinnamomi isolates with phosphite hinders growth by interfering with metabolism, signalling and gene expression; traits that are not observed in the resistant isolate. When the model host Lupinus angustifolius was treated with phosphite, proteins associated with photosynthesis, carbon fixation and lipid metabolism in the host were enriched. Increased production of defence-related proteins was also observed in the plant. We hypothesise the multi-modal action of phosphite and present two models constructed using comparative proteomics that demonstrate mechanisms of pathogen and host responses to phosphite. SIGNIFICANCE: Phytophthora cinnamomi is a significant phytopathogenic oomycete that causes root rot (dieback) in a number of horticultural crops and a vast range of native vegetation. Historically, areas infected with phosphite have been treated with the oomyceticide phosphite despite its unknown mode of action. Additionally, overuse of phosphite has driven the emergence of phosphite-resistant isolates of the pathogen. We conducted a comparative proteomic study of a sensitive and resistant isolate of P. cinnamomi in response to treatment with phosphite, and the response of a model host, Lupinus angustifolius, to phosphite and its implications on infection. The present study has allowed for a deeper understanding of the bimodal action of phosphite, suggested potential biochemical factors contributing to chemical resistance in P. cinnamomi, and unveiled possible drivers of phosphite-induced host plant immunity to the pathogen.

Impact of Lifting Straps on the Relationship Between Maximum Repetitions to Failure and Lifting Velocity During the Prone Bench Pull Exercise.

BACKGROUND: Fastest mean (MVfastest) and peak (PVfastest) velocity of the set have been proposed to predict the maximum number of repetitions to failure (RTF) during the Smith machine prone bench pull (PBP) exercise. HYPOTHESIS: Goodness-of-fit would be higher for individualized compared with generalized RTF-velocity relationships and comparable for both execution equipment conditions (with or without straps), and the MVfastest and PVfastest associated with each RTF would be comparable between execution equipment and prediction methods (multiple- vs 2-point method). STUDY DESIGN: Cross-sectional study. LEVEL OF EVIDENCE: Level 3. METHODS: After determining the PBP 1-repetition maximum (1RM), 20 resistance-trained male athletes performed 2 sessions randomly, with and without lifting straps, consisting of single sets to failure against the same load sequence (60% to 80% to 70% 1RM). Generalized (pooling data from all subjects) and individualized (separately for each subject using multiple-point or 2-point methods) RTF-velocity relationships were constructed. RESULTS: Individualized RTF-velocity relationships were always stronger than generalized RFT-velocity relationships, but comparable with (MVfastest: r2 = 0.87-0.99]; PVfastest: r2 = 0.88-1.00]) and without (MVfastest: r2 = 0.82-1.00; PVfastest: r2 = 0.89-0.99]) lifting straps. The velocity values associated with each RTF were comparable between execution equipment (P ≥ 0.22), but higher for the multiple-point compared with the 2-point method (P < 0.01). CONCLUSION: The use of lifting straps during the Smith machine PBP exercise does not affect the goodness-of-fit of the RTF-velocity relationships or the velocity values associated with different RTFs. However, caution should be exercised when using different methods. CLINICAL RELEVANCE: The benefits of the RTF-velocity relationships can be extrapolated when using lifting straps, and the 2-point method can also be used as a quick and more fatigue-free procedure. Nevertheless, it is imperative for coaches to ensure that these relationships are reflective of fatigue experienced during training.

Exploiting long read sequencing to detect azole fungicide resistance mutations in Pyrenophora teres using unique molecular identifiers.

Resistance to fungicides is a global challenge as target proteins under selection can evolve rapidly, reducing fungicide efficacy. To manage resistance, detection technologies must be fast and flexible enough to cope with a rapidly increasing number of mutations. The most important agricultural fungicides are azoles that target the ergosterol biosynthetic enzyme sterol 14α-demethylase (CYP51). Mutations associated with azole resistance in the Cyp51 promoter and coding sequence can co-occur in the same allele at different positions and codons, increasing the complexity of resistance detection. Resistance mutations arise rapidly and cannot be detected using traditional amplification-based methods if they are not known. To capture the complexity of azole resistance in two net blotch pathogens of barley we used the Oxford Nanopore MinION to sequence the promoter and coding sequence of Cyp51A. This approach detected all currently known mutations from biologically complex samples increasing the simplicity of resistance detection as multiple alleles can be profiled in a single assay. With the mobility and decreasing cost of long read sequencing, we demonstrate this approach is broadly applicable for characterizing resistance within known agrochemical target sites.

[Circulatory support with venovenous ECMO in a patient with reperfusion pulmonary edema after pulmonary artery thromboendarterectomy]. / Soporte circulatorio con ECMO venovenoso en paciente con síndrome de reperfusión pulmonar secundario a tromboendarterectomía arterial pulmonar.

Chronic thromboembolic pulmonary hypertension (CTEPH) is a subtype of pulmonary hypertension characterized by the obstruction of pulmonary arteries secondary to chronic thromboembolism. Pulmonary thromboendarterectomy surgery (PTE) is the main treatment for patients with CTEPH, as it removes the chronic thrombi from the pulmonary arteries. Pulmonary reperfusion syndrome is a common complication of the surgery, which involves the development of pulmonary edema in the area where blood perfusion improves after the surgery. The incidence of this syndrome varies from 8 to 91% depending on the criteria used for diagnosis, and it is one of the most serious complications of pulmonary thromboendarterectomy. In such cases, circulatory support with extracorporeal membrane oxygenation (ECMO) has become a valuable therapeutic modality. We present the case of a 60-year-old woman with a history of acute pulmonary embolism due to deep vein thrombosis of the right pelvic limb who was diagnosed later with CTEPH who was admitted for scheduled surgical treatment involving bilateral PTE. However, during the immediate postoperative period, she developed cardiogenic shock and refractory hypoxemia secondary to pulmonary reperfusion syndrome following the surgical procedure. As a result, she required veno-venous ECMO circulatory support for 6 days, leading to resolution of the pulmonary condition and clinical improvement.

La hipertensión pulmonar tromboembólica crónica (HPTEC) es un subtipo de hipertensión pulmonar caracterizada por la obstrucción de las arterias pulmonares secundaria a tromboembolias crónicas. La cirugía de tromboendarterectomía pulmonar (TEAP) es el tratamiento principal para los pacientes con HPTEC, elimina los trombos crónicos de las arterias pulmonares. El síndrome de reperfusión pulmonar es una complicación común de la cirugía, se trata del desarrollo de edema pulmonar en el área en la que la perfusión sanguínea mejora después de la cirugía. La incidencia del síndrome varía del 8 al 91% según los criterios utilizados para diagnosticarlo y es una de las complicaciones más graves de la tromboendarterectomía pulmonar. En tales casos, el soporte circulatorio con oxigenación por membrana extracorpórea (ECMO) se ha convertido en una valiosa modalidad terapéutica. Presentamos el caso de una paciente de 60 años de edad con antecedente de tromboembolia pulmonar aguda secundaria a trombosis venosa profunda de miembro pélvico derecho a quien durante el seguimiento se realizó el diagnóstico de HPTEC e ingresó de manera programada para tratamiento quirúrgico con realización de TEAP bilateral, sin embargo durante el posquirúrgico inmediato presentó choque cardiogénico e hipoxemia refractaria secundarios a síndrome de reperfusión pulmonar, por lo cual requirió soporte circulatorio con ECMO venovenosa durante seis días, con resolución del cuadro pulmonar y mejoría clínica.

Spatial Dependency in Stubble-Borne Pyrenophora teres f. teres and Influence of Sample Support Size on DNA Concentration and Fungicide Resistance Frequency.

Fungicide resistance in foliar fungal pathogens is an increasing challenge to crop production. Yield impacts due to loss of fungicide efficacy may be reduced through effective surveillance and appropriate management intervention. For stubble-borne pathogens, off-season crop residues may be used to monitor fungicide resistance to inform pre-planting decisions; however, appropriate sampling strategies and support sizes for crop residues have not previously been considered. Here, we used Pyrenophora teres f. teres (Ptt) with resistance to demethylase inhibitor fungicides as a model system to assess spatial dependency and to compare the effects of different sampling strategies and support sizes on pathogen density (Ptt DNA concentration) and the frequency of fungicide resistance mutation. The results showed that sampling strategies (hand-picked versus raked) did not affect estimates of pathogen density or fungicide resistance frequency; however, sample variances were lower from raked samples. The effects of differing sample support size, as the size of the collection area (1.2, 8.6, or 60 m2), on fungicide resistance frequency were not evident (P > 0.05). However, measures of pathogen density increased with area size (P < 0.05); the 60 m2 area yielded the highest Ptt DNA concentration and produced the lowest number of pathogen-absent samples. Sample variances for pathogen density and fungicide resistance frequency were generally homogeneous between area sizes. The pattern of pathogen density was spatially independent; however, spatial dependency was identified for fungicide resistance frequency, with a range of 110 m, in one of the two fields surveyed. Collectively, the results inform designs for monitoring of fungicide resistance in stubble-borne pathogens.

Workflows for detecting fungicide resistance in net form and spot form net blotch pathogens.

BACKGROUND: Fungicide resistance in Pyrenophora teres f. maculata and P. teres f. teres has become an important disease management issue. Control of the associated barley foliar diseases, spot form and net form net blotch, respectively, relies on three major groups of fungicides, demethylation inhibitors (DMIs), succinate dehydrogenase inhibitors (SDHIs) and quinone outside inhibitors (QoIs). However, resistance has been reported for the DMI and SDHI fungicides in Australia. To enhance detection of different resistance levels, phenotyping and genotyping workflows were designed. RESULTS: The phenotyping workflow generated cultures directly from lesions and compared growth on discriminatory doses of tebuconazole (DMI) and fluxapyroxad (SDHI). Genotyping real-time polymerase chain reaction (PCR) assays were based on alleles associated with sensitivity or resistance to the DMI and SDHI fungicides. These workflows were applied to spot form and net form net blotch collections from 2019 consisting predominantly of P. teres f. teres from South Australia and P. teres f. maculata from Western Australia. For South Australia the Cyp51A L489-3 and SdhC-R134 alleles, associated with resistance to tebuconazole and fluxapyroxad, respectively, were the most prevalent. These alleles were frequently found in single isolates with dual resistance. This study also reports the first detection of a 134 base pair insertion located at position-66 (PtTi-6) in the Cyp51A promoter of P. teres f. maculata from South Australia. For Western Australia, the PtTi-1 insertion was the most common allele associated with resistance to tebuconazole. CONCLUSION: The workflow and PCR assays designed in this study have been demonstrated to efficiently screen P. teres collections for both phenotypic and genetic resistance to DMI and SDHI fungicides. The distribution of reduced sensitivity and resistance to DMI and SDHI fungicides varied between regions in south-western Australia, suggesting the emergence of resistance was impacted by both local pathogen populations and disease management programmes. The knowledge of fungicide resistance in regional P. teres collections will be important for informing appropriate management strategies. © 2023 The Authors. Pest Management Science published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry.

Mathematical discoveries from program search with large language models.

Large language models (LLMs) have demonstrated tremendous capabilities in solving complex tasks, from quantitative reasoning to understanding natural language. However, LLMs sometimes suffer from confabulations (or hallucinations), which can result in them making plausible but incorrect statements1,2. This hinders the use of current large models in scientific discovery. Here we introduce FunSearch (short for searching in the function space), an evolutionary procedure based on pairing a pretrained LLM with a systematic evaluator. We demonstrate the effectiveness of this approach to surpass the best-known results in important problems, pushing the boundary of existing LLM-based approaches3. Applying FunSearch to a central problem in extremal combinatorics-the cap set problem-we discover new constructions of large cap sets going beyond the best-known ones, both in finite dimensional and asymptotic cases. This shows that it is possible to make discoveries for established open problems using LLMs. We showcase the generality of FunSearch by applying it to an algorithmic problem, online bin packing, finding new heuristics that improve on widely used baselines. In contrast to most computer search approaches, FunSearch searches for programs that describe how to solve a problem, rather than what the solution is. Beyond being an effective and scalable strategy, discovered programs tend to be more interpretable than raw solutions, enabling feedback loops between domain experts and FunSearch, and the deployment of such programs in real-world applications.

Psychometric properties of the Reward Probability Index in a Colombian sample / Propiedades psicométricas del Índice de Probabilidad de Recompensa en una muestra Colombiana

Introduction: This study analysed the psychometric properties of the Reward Probability Index (RPI) in an online Colombian sample with 1129 participants. Method: To conduct a cross-validation study, the sample was randomly divided into two subsamples. An exploratory factor analysis was conducted with the first subsample yielding a two-factor structure. Then, the fit of this two-factor model was tested on the second subsample by conducting a confirmatory factor analysis. Results: This model obtained a good fit to the data and measurement invariance across gender was observed. The RPI also showed good internal consistency according to both Cronbach's alpha and McDonald's omega, scoring .88 in both cases. The RPI demonstrated convergent construct validity given its correlations with other related measures such as the Environmental Reward Observation Scale (r = .81), and the full version of the Behavioral Activation Scale for Depression (r = .71). Conclusions: The RPI showed good psychometric properties in this Colombian sample.

Introducción: Este artículo tuvo como objetivo analizar las propiedades psicométricas del Índice de Probabilidad de Recompensa (RPI) en una muestra colombiana en línea con 1129 participantes. Método: Para realizar un estudio de validación cruzada, la muestra se dividió aleatoriamente en dos submuestras. Se realizó un análisis factorial exploratorio con la primera submuestra que arrojó una estructura de dos factores. Luego, se probó el ajuste de este modelo de dos factores en la segunda submuestra mediante la realización de un análisis factorial confirmatorio. Resultados: Este modelo obtuvo un buen ajuste a los datos y se observó invarianza de medida entre sexos. El RPI también mostró buena consistencia interna según el alfa de Cronbach y el omega de McDonald (.88 en ambos casos) y validez de constructo convergente dadas las correlaciones con otras medidas relacionadas como la Escala de Observación de Recompensa Ambiental (r = .81), y la versión de la Escala de Activación Conductual para la Depresión (r = .71). Conclusiones: el RPI mostró buenas propiedades psicométricas en esta muestra colombiana.

The Relationship between Depressive Symptoms, Quality of Life and miRNAs 8 Years after Bariatric Surgery.

(1) Background: There are conflicting results on whether weight loss after bariatric surgery (BS) might be associated with quality of life (QoL)/depressive symptomatology. We aim to determine whether BS outcomes are associated with QoL/depressive symptomatology in studied patients at the 8-year follow-up after BS, as well as their relationship with different serum proteins and miRNAs. (2) Methods: A total of 53 patients with class III obesity who underwent BS, and then classified into "good responders" and "non-responders" depending on the percentage of excess weight lost (%EWL) 8 years after BS (%EWL ≥ 50% and %EWL < 50%, respectively), were included. Basal serum miRNAs and different proteins were analysed, and patients completed tests to evaluate QoL/depressive symptomatology at 8 years after BS. (3) Results: The good responders group showed higher scores on SF-36 scales of physical functioning, role functioning-physical, role functioning-emotional, body pain and global general health compared with the non-responders. The expression of hsa-miR-101-3p, hsa-miR-15a-5p, hsa-miR-29c-3p, hsa-miR-144-3p and hsa-miR-19b-3p were lower in non-responders. Hsa-miR-19b-3p was the variable associated with the response to BS in a logistic regression model. (4) Conclusions: The mental health of patients after BS is limited by the success of the intervention. In addition, the expression of basal serum miRNAs related to depression/anxiety could predict the success of BS.

Lifting velocity predicts the maximum number of repetitions to failure with comparable accuracy during the Smith machine and free-weight prone bench pull exercises.

This study compared the accuracy of the fastest mean velocity from set (MVfastest) to predict the maximum number of repetitions to failure (RTF) between 2 variants of prone bench pull (PBP) exercise (Smith machine and free-weight) and 3 methods (generalized, individualized multiple-point, and individualized 2-point). Twenty-three resistance-trained males randomly performed 2 sessions during Smith machine PBP and 2 sessions during free-weight PBP in different weeks. The first weekly session determined the RTF-MVfastest relationships and subjects completed single sets of repetitions to failure against 60-70-80-90%1RM. The second weekly session explored the accuracy of RTFs prediction under fatigue conditions and subjects completed 2 sets of 65%1RM and 2 sets of 85%1RM with 2 min of rest. The MVfastest associated with RTFs from 1 to 15 were greater for Smith machine compared to free-weight PBP (F ≥ 42.9; P < 0.001) and for multiple-point compared to 2-point method (F ≥ 4.6; P ≤ 0.043). The errors when predicting RTFs did not differ between methods and PBP variants, whereas all RTF-MVfastest relationships overestimated the RTF under fatigue conditions. These results suggest that RTF-MVfastest relationships present similar accuracy during Smith machine and free-weight PBP exercises and it should be constructed under similar training conditions.

Influence of plasma kinetic energy during the pulsed laser deposition of borophene films on silicon (100).

Developing borophene films with good structural stability on non-metallic substrates to maximize their potential in photosensitivity, gas detection, photothermia, energy storage, and deformation detection, among others has been challenging in recent years. Herein, we succeeded in the pulsed laser deposition of multilayered borophene films on Si (100) with ß12 or χ3 bonding by tuning the mean kinetic energy in the plasma during the deposition process. Raman and X-ray photoelectron spectroscopies confirm ß12 and χ3 bonding in the films. Borophene films with ß12 bonding were obtained by tuning a high mean kinetic energy in the plasma, while borophene with χ3 bonding required a relatively low mean kinetic energy. Atomic force microscopy (AFM) micrographs revealed a granular and directional growth of the multilayered borophene films following the linear atomic terraces from the (100) silicon substrate. AFM nanofriction was used to access the borophene surfaces and to reveal the pull-off force and friction coefficient of the films where the surface oxide showed a significant contribution. To summarize, we show that it is possible to deposit multilayered borophene thin films with different bondings by tuning the mean kinetic energy during pulsed laser deposition. The characterization of the plasma during borophene deposition accompanies our findings, providing support for the changes in kinetic energy.

Corrigendum: A multiple-baseline evaluation of acceptance and commitment therapy focused on repetitive negative thinking for comorbid generalized anxiety disorder and depression.

[This corrects the article DOI: 10.3389/fpsyg.2020.00356.].

The impact of government actions and risk perception on the promotion of self-protective behaviors during the COVID-19 pandemic.

INTRODUCTION: We aim to understand the factors that drive citizens of different countries to adhere to recommended self-protective behaviors during the COVID-19 pandemic. METHODS: Survey data was obtained through the COVID-19 Impact project. We selected countries that presented a sufficiently complete time series and a statistically relevant sample for running the analysis: Cyprus, Germany, Greece, Ireland, Latvia, Spain, Switzerland, the United Kingdom, and the United States of America. To identify country-specific differences in self-protective behaviors, we used previous evidence and change-point detection analysis to establish variations across participating countries whose effect was then assessed by means of interrupted series analysis. RESULTS: A high level of compliance with health and governmental authorities' recommendations were generally observed in all included countries. The level of stress decreased near the period when countries such as Cyprus, Greece or the United Kingdom relaxed their prevention behavior recommendations. However, this relaxation of behaviors did not occur in countries such as Germany, Ireland, or the United States. As observed in the change-point detection analysis, when the daily number of recorded COVID-19 cases decreased, people relaxed their protective behaviors (Cyprus, Greece, Ireland), although the opposite trend was observed in Switzerland. DISCUSSION: COVID-19 self-protective behaviors were heterogeneous across countries examined. Our findings show that there is probably no single winning strategy for exiting future health crises, as similar interventions, aimed to promote self-protective behaviors, may be received differently depending on the specific population groups and on the particular geographical context in which they are implemented.

Predictors of changing patterns of adherence to containment measures during the early stage of COVID-19 pandemic: an international longitudinal study.

BACKGROUND: Identifying common factors that affect public adherence to COVID-19 containment measures can directly inform the development of official public health communication strategies. The present international longitudinal study aimed to examine whether prosociality, together with other theoretically derived motivating factors (self-efficacy, perceived susceptibility and severity of COVID-19, perceived social support) predict the change in adherence to COVID-19 containment strategies. METHOD: In wave 1 of data collection, adults from eight geographical regions completed online surveys beginning in April 2020, and wave 2 began in June and ended in September 2020. Hypothesized predictors included prosociality, self-efficacy in following COVID-19 containment measures, perceived susceptibility to COVID-19, perceived severity of COVID-19 and perceived social support. Baseline covariates included age, sex, history of COVID-19 infection and geographical regions. Participants who reported adhering to specific containment measures, including physical distancing, avoidance of non-essential travel and hand hygiene, were classified as adherence. The dependent variable was the category of adherence, which was constructed based on changes in adherence across the survey period and included four categories: non-adherence, less adherence, greater adherence and sustained adherence (which was designated as the reference category). RESULTS: In total, 2189 adult participants (82% female, 57.2% aged 31-59 years) from East Asia (217 [9.7%]), West Asia (246 [11.2%]), North and South America (131 [6.0%]), Northern Europe (600 [27.4%]), Western Europe (322 [14.7%]), Southern Europe (433 [19.8%]), Eastern Europe (148 [6.8%]) and other regions (96 [4.4%]) were analyzed. Adjusted multinomial logistic regression analyses showed that prosociality, self-efficacy, perceived susceptibility and severity of COVID-19 were significant factors affecting adherence. Participants with greater self-efficacy at wave 1 were less likely to become non-adherence at wave 2 by 26% (adjusted odds ratio [aOR], 0.74; 95% CI, 0.71 to 0.77; P < .001), while those with greater prosociality at wave 1 were less likely to become less adherence at wave 2 by 23% (aOR, 0.77; 95% CI, 0.75 to 0.79; P = .04). CONCLUSIONS: This study provides evidence that in addition to emphasizing the potential severity of COVID-19 and the potential susceptibility to contact with the virus, fostering self-efficacy in following containment strategies and prosociality appears to be a viable public health education or communication strategy to combat COVID-19.

Optimized Sample Processing Pipeline for PCR-Based Fungicide Resistance Quantification of Stubble-Borne Fungal Pathogens.

Globally, yield losses associated with failed crop protection due to fungicide-resistant pathogens present an increasing problem. For stubble-borne pathogens, assessment of crop residues during the off-season could provide early fungicide resistance quantification for informed management decisions to mitigate yield losses. However, stubble assessment is hampered by assay inhibitors that are derived from decaying organic matter. To overcome assay inhibition from weathered stubble samples, we used a systems approach to quantify the frequency of resistance to demethylase inhibitor fungicides of the barley pathogen Pyrenophora teres f. teres. The system canvassed (i) 10 ball-milling conditions; (ii) four DNA extraction methodologies; and (iii) three column purification techniques for the provision of sufficient yield, quality, and purity of fungal DNA for a PCR-based fungicide resistance assay. Results show that DNA quantity and purity differed within each of the above three categories, with the optimized pipeline being (i) ball-milling samples in a 50-ml stainless steel canister for 5 min using a 20-mm ball at 30 revolutions s-1; (ii) a modified Brandfass method (extracted 64% more DNA than other methods assessed); and (iii) use of silica resin columns for the highest DNA concentration with optimal DNA purity. The chip-digital PCR assay, which quantified fungicide resistance from field samples, was unaffected by the DNA extraction method or purification technique, provided that thresholds of template quantity and purity were satisfied. In summary, this study has developed molecular pipeline options for pathogen fungicide resistance quantification from cereal stubbles, which can guide management for improved crop protection outcomes.

Saturación de oxígeno y lactato sérico venoso-arterial del posoperatorio de cirugía cardiaca / Venous-arterial oxygen saturation and serum lactate in the postoperative period of cardiac surgery

Resumen Introducción: La saturación de oxígeno y el lactato son marcadores de hipoxia tisular, se obtienen de muestra venosa mezclada en arteria pulmonar o venosa central. Se desconoce el comportamiento simultáneo de estos parámetros en el postoperatorio de cirugía cardiaca. Objetivo: Caracterizar la saturación de oxígeno y lactato del circuito venoso-arterial del paciente postoperado de cirugía cardiaca. Métodos: Diseño transversal analítico. En pacientes consecutivos postoperados de cirugía cardiaca se obtuvieron lactato sérico y saturación de oxígeno del circuito venoso-arterial. Las variables se informaron con mediana (percentiles 25 y 75). Se analizaron con ANOVA de Kruskal-Wallis y ajuste respectivo, correlación de Spearman, el estadístico descriptivo de Bland-Altman y coeficiente de correlación intraclase (intervalo de confianza al 95%). Una p < 0.05 se consideró significativa. Resultados: Se estudiaron 244 muestras sanguíneas de 61 pacientes. Mujeres 30 (49%). Saturación de oxígeno y lactato fueron: arterial 98 (95.3, 99.4)% y 1.7 (1,1, 2.1); venosa periférica 85 (75.4, 94)% y 1.9 (1.35, 2.3); venosa central 68.8 (58.74, 70.2)% y 1.8 (1.3, 2.3); venosa central mezclada 66.8 (61.2, 73.1)% y 1.8 (1.3, 2.2), p < 0.05. El mejor coeficiente de correlación intraclase para la saturación de oxígeno fue de vena central a vena central mezclada: 0.856 (0.760, 0.914); del lactato: 0.954 (0.923, 0.972). Conclusiones: La saturación de oxígeno difiere en el circuito venoso-arterial a diferencia del lactato, donde son similares. Los mejores valores del coeficiente de correlación intraclase para el lactato y la saturación de oxígeno fueron los obtenidos en vena central y vena central mezclada.

Abstract Introduction: Oxygen saturation and lactate are markers of tissue hypoxia; they are obtained from central venous and mixed venous sample of the pulmonary artery. The simultaneous behavior of these parameters in the postoperative period of cardiac surgery is unknown. Objective: To characterize the lactate and oxygen saturation of the venous-arterial circuit of the postoperative patient from cardiac surgery. Methods: Design: Analytical cross-sectional. In consecutive patients after cardiac surgery, serum lactate and oxygen saturation of the venous-arterial circuit were obtained. The variables were reported with median (25.75 percentiles). They were analyzed with Kruskal-Wallis ANOVA and respective adjustment, Spearman correlation, the descriptive Bland-Altman statistic and intraclass correlation coefficient (95% confidence interval). A p < 0.05 was considered significant. Results: 244 blood samples from 61 patients were studied. Women 30 (49%). (Oxygen saturation) [lactate] were: arterial 98 (95.3, 99.4%) and 1.7 (1.1, 2.1); peripheral venous 85 (75.4, 94%) and [1.9 (1.35, 2.3)]; central venous 68.8 (58.74, 70.2%) and 1.8 (1.3, 2.3); mixed central venous 66.8 (61.2, 73.1%) and 1.8 (1.3, 2.2), p < 0.05. The best intraclass correlation coefficient for oxygen saturation were from central vein to mixed central vein 0.856 (0.760,0.914); and lactate: 0.954 (0.923, 0.972). Conclusions: The oxygen saturation differs in the venous-arterial circuit unlike lactate where they are similar. The best values of the intraclass correlation coefficient for lactate and oxygen saturation were those obtained in central vein and mixed central vein.

Venous-arterial oxygen saturation and serum lactate in the postoperative period of cardiac surgery.

INTRODUCTION: Oxygen saturation and lactate are markers of tissue hypoxia; they are obtained from central venous and mixed venous sample of the pulmonary artery. The simultaneous behavior of these parameters in the postoperative period of cardiac surgery is unknown. OBJECTIVE: To characterize the lactate and oxygen saturation of the venous-arterial circuit of the postoperative patient from cardiac surgery. METHODS: Design: Analytical cross-sectional. In consecutive patients after cardiac surgery, serum lactate and oxygen saturation of the venous-arterial circuit were obtained. The variables were reported with median (25.75 percentiles). They were analyzed with Kruskal-Wallis ANOVA and respective adjustment, Spearman correlation, the descriptive Bland-Altman statistic and intraclass correlation coefficient (95% confidence interval). A p < 0.05 was considered significant. RESULTS: 244 blood samples from 61 patients were studied. Women 30 (49%). (Oxygen saturation) [lactate] were: arterial 98 (95.3, 99.4%) and 1.7 (1.1, 2.1); peripheral venous 85 (75.4, 94%) and [1.9 (1.35, 2.3)]; central venous 68.8 (58.74, 70.2%) and 1.8 (1.3, 2.3); mixed central venous 66.8 (61.2, 73.1%) and 1.8 (1.3, 2.2), p < 0.05. The best intraclass correlation coefficient for oxygen saturation were from central vein to mixed central vein 0.856 (0.760,0.914); and lactate: 0.954 (0.923, 0.972). CONCLUSIONS: The oxygen saturation differs in the venous-arterial circuit unlike lactate where they are similar. The best values of the intraclass correlation coefficient for lactate and oxygen saturation were those obtained in central vein and mixed central vein.

INTRODUCCIÓN: La saturación de oxígeno y el lactato son marcadores de hipoxia tisular, se obtienen de muestra venosa mezclada en arteria pulmonar o venosa central. Se desconoce el comportamiento simultáneo de estos parámetros en el postoperatorio de cirugía cardiaca. OBJETIVO: Caracterizar la saturación de oxígeno y lactato del circuito venoso-arterial del paciente postoperado de cirugía cardiaca. MÉTODOS: Diseño transversal analítico. En pacientes consecutivos postoperados de cirugía cardiaca se obtuvieron lactato sérico y saturación de oxígeno del circuito venoso-arterial. Las variables se informaron con mediana (percentiles 25 y 75). Se analizaron con ANOVA de Kruskal-Wallis y ajuste respectivo, correlación de Spearman, el estadístico descriptivo de Bland-Altman y coeficiente de correlación intraclase (intervalo de confianza al 95%). Una p < 0.05 se consideró significativa. RESULTADOS: Se estudiaron 244 muestras sanguíneas de 61 pacientes. Mujeres 30 (49%). Saturación de oxígeno y lactato fueron: arterial 98 (95.3, 99.4)% y 1.7 (1,1, 2.1); venosa periférica 85 (75.4, 94)% y 1.9 (1.35, 2.3); venosa central 68.8 (58.74, 70.2)% y 1.8 (1.3, 2.3); venosa central mezclada 66.8 (61.2, 73.1)% y 1.8 (1.3, 2.2), p < 0.05. El mejor coeficiente de correlación intraclase para la saturación de oxígeno fue de vena central a vena central mezclada: 0.856 (0.760, 0.914); del lactato: 0.954 (0.923, 0.972). CONCLUSIONES: La saturación de oxígeno difiere en el circuito venoso-arterial a diferencia del lactato, donde son similares. Los mejores valores del coeficiente de correlación intraclase para el lactato y la saturación de oxígeno fueron los obtenidos en vena central y vena central mezclada.

Discovering faster matrix multiplication algorithms with reinforcement learning.

Improving the efficiency of algorithms for fundamental computations can have a widespread impact, as it can affect the overall speed of a large amount of computations. Matrix multiplication is one such primitive task, occurring in many systems-from neural networks to scientific computing routines. The automatic discovery of algorithms using machine learning offers the prospect of reaching beyond human intuition and outperforming the current best human-designed algorithms. However, automating the algorithm discovery procedure is intricate, as the space of possible algorithms is enormous. Here we report a deep reinforcement learning approach based on AlphaZero1 for discovering efficient and provably correct algorithms for the multiplication of arbitrary matrices. Our agent, AlphaTensor, is trained to play a single-player game where the objective is finding tensor decompositions within a finite factor space. AlphaTensor discovered algorithms that outperform the state-of-the-art complexity for many matrix sizes. Particularly relevant is the case of 4 × 4 matrices in a finite field, where AlphaTensor's algorithm improves on Strassen's two-level algorithm for the first time, to our knowledge, since its discovery 50 years ago2. We further showcase the flexibility of AlphaTensor through different use-cases: algorithms with state-of-the-art complexity for structured matrix multiplication and improved practical efficiency by optimizing matrix multiplication for runtime on specific hardware. Our results highlight AlphaTensor's ability to accelerate the process of algorithmic discovery on a range of problems, and to optimize for different criteria.