Substitution Model Research Articles

Petrophysical Property Prediction from Seismic Inversion Attributes Using Rock Physics and Machine Learning: Volve Field, North Sea

An accurate petrophysical model of the subsurface is essential for resource development and CO2 sequestration. We present a new workflow that provides a high-resolution estimate of petrophysical reservoir properties using seismic data with rock physics modeling and machine-learning techniques (i.e., deep learning neural networks). First, we compare the sequential prediction of the following petrophysical attributes: mineralogy, porosity, and fluid saturation, with the simultaneous prediction of all of the properties using the Volve field in the Norwegian North Sea as an example. The workflow shows that the sequential prediction produces a more efficient and accurate classification of petrophysical properties (the RMS error between the predicted and the original seismic trace is 50% smaller for the sequential compared to the simultaneous procedure). Next, the seismic amplitude response of the reservoirs was studied using rock physics modeling and amplitude versus offset (AVO) analysis to distinguish the different lithologies and fluid types. To ascertain the optimal hydrocarbon production areas, we performed Bayesian seismic inversion and applied machine learning to estimate the petrophysical properties. We examined how porosity, Vclay, and fluid variations affect the elastic properties. In Poisson’s ratio versus the P-wave impedance domain, a 10% porosity increase decreases the acoustic impedance (AI) by 30%, while a 20% Vclay decrease increases the AI by 12%. The Utsira Formation in the Volve field (5 km north of the Sleipner Øst field) was evaluated as a potential CO2 geological storage unit using Gassmann fluid substitution and seismic modeling. We look to assess the elastic property variation caused by CO2 saturation changes for monitoring purposes and simulate the effect. In the first 10% CO2 substitution, the P-wave velocity decrease is 12%, a subtle effect is observed for higher CO2 saturation values, and S-wave velocity (Vs) increases with CO2 saturation. Our analysis aspires to assist future reservoir studies and CO2 sequestration in similar fields.

Accelerometer-measured physical activity, sedentary behavior, and risk of incident pelvic organ prolapse: a prospective cohort study in the UK Biobank

BackgroundPrevious studies on physical activity (PA) and pelvic organ prolapse (POP) were largely limited to self-reported PA in athletes, soldiers, and women in postpartum. We aimed to investigate the association of accelerometer-measured PA and sedentary behavior with the risk of POP in middle-aged and elderly women.MethodsIn this prospective cohort derived from the UK Biobank, the intensity and duration of PA and sedentary behavior were measured with wrist-worn accelerometers over a 7-day period in 2013–2015 for 47,674 participants (aged 42.8–77.9 years) without pre-existing POP. Participants were followed up until the end of 2022, during which incident POP was ascertained mainly by the electronic health records. Multivariable-adjusted Cox proportional hazards models and restricted cubic splines were used to assess the associations of interest. Isotemporal substitution models were applied to test the effects of substituting a type of activity with equivalent duration of others.ResultsDuring a median follow-up of 8.0 years, 779 cases of POP were recorded. The duration of light-intensity PA (LPA) was positively whereas sedentary time was negatively associated with the risk of POP. Every additional 1 h/day of LPA elevated the risk of POP by 18% (95% confidence interval [CI], 10%–26%). In contrast, the risk decreased by 5% (95% CI, 0–8%) per 1 h/day increment in sedentary behavior. No associations were found between moderate-intensity PA (MPA) or vigorous-intensity PA (VPA) and POP, except that women who had a history of hysterectomy were more likely to develop POP when performing more VPA (53% higher risk for every additional 15 min/day). Substituting 1 h/day of LPA with equivalent sedentary time was associated with a 18% (95% CI, 11%–24%) lower risk of POP. The risk can also be reduced by 17% (95% CI, 7%–25%) through substituting 30 min/day of LPA with MPA.ConclusionsMore time spent in LPA or less sedentary time was linked to an elevated risk of POP in middle-aged and elderly women, while MPA or VPA was not. Substituting LPA with equivalent duration of sedentary behavior or MPA may lower the risk of POP.

Substitution Models of Protein Evolution with Selection on Enzymatic Activity.

Substitution models of evolution are necessary for diverse evolutionary analyses including phylogenetic tree and ancestral sequence reconstructions. At the protein level, empirical substitution models are traditionally used due to their simplicity, but they ignore the variability of substitution patterns among protein sites. Next, in order to improve the realism of the modeling of protein evolution, a series of structurally constrained substitution models were presented, but still they usually ignore constraints on the protein activity. Here, we present a substitution model of protein evolution with selection on both protein structure and enzymatic activity, and that can be applied to phylogenetics. In particular, the model considers the binding affinity of the enzyme-substrate complex as well as structural constraints that include the flexibility of structural flaps, hydrogen bonds, amino acids backbone radius of gyration, and solvent-accessible surface area that are quantified through molecular dynamics simulations. We applied the model to the HIV-1 protease and evaluated it by phylogenetic likelihood in comparison with the best-fitting empirical substitution model and a structurally constrained substitution model that ignores the enzymatic activity. We found that accounting for selection on the protein activity improves the fitting of the modeled functional regions with the real observations, especially in data with high molecular identity, which recommends considering constraints on the protein activity in the development of substitution models of evolution.

Behavior reallocations within 24-h movement profiles and change in cardiometabolic biomarkers during pregnancy.

The goal of this study was to investigate associations of reallocations within 24-h movement profiles and changes in cardiometabolic biomarkers from early to late pregnancy. In 137 individuals with prepregnancy overweight/obesity, waking movement was measured using wrist-worn accelerometers, sleep was self-reported, and biomarkers were measured in fasting serum samples at 12 and 32 weeks' gestation. We used compositional isotemporal substitution models. On average, biomarkers increased 21%-83% across pregnancy. For those with guideline-recommended moderate/vigorous-intensity physical activity (MVPA) in early pregnancy, reallocating 30 min from MVPA to sleep, sedentary behavior, or light-intensity physical activity (LPA) was associated with a 0.6 mmol/L greater increase in total cholesterol (95% CI: -0.1 to 1.2) and a 0.7 mmol/L greater increase in low-density lipoprotein (LDL) cholesterol (95% CI: 0.1 to 1.3) from early to late pregnancy. For those with low MVPA in early pregnancy, reallocating 30 min from sleep, sedentary behavior, or LPA to MVPA was associated with a 0.6 mmol/L lower increase in total cholesterol (95% CI: -1.3 to 0.1) and a 0.8 mmol/L lower increase in LDL cholesterol (95% CI: -1.4 to -0.1) from early to late pregnancy. There were no associations with change in glucose, insulin, homeostatic model assessment for insulin resistance, very low-density lipoprotein, or high-density lipoprotein cholesterol, triglycerides, or free fatty acids. Maintaining or achieving a 24-h movement profile with guideline-recommended amounts of MVPA may be beneficial for reducing pregnancy-induced increases in total and LDL cholesterol.

Measuring performance in allied health professional role substitution models of care: a clinician survey.

Professional role substitution models of care have emerged as a key strategy to address increasing healthcare demand. Gaining insights from those actively engaged in the process of these models' implementation and evaluation is pivotal to ensuring sustainability and further successful implementation. The purpose of this study was to describe allied-health clinicians' perceptions, practice, and experiences of healthcare performance evaluation in professional role substitution models of care. Data were collected via an online platform between 22 June - 22 July 2022 using a combination of convenience and network-based sampling of allied-health clinicians involved or interested in the implementation and evaluation of professional role substitution models of care. Clinicians answered 25 questions which consisted of demographic and targeted questions regarding performance evaluation across six domains of healthcare quality (effectiveness, safety, appropriateness, access & equity, continuity of care, and cost, efficiency, productivity & sustainability). A total of 102 clinicians accessed the survey, with 72 providing complete survey data. Eleven allied-health professions were represented, working across twelve specialities in thirteen hospital and health services. Whilst most allied-health clinicians (93-100%) supported measuring performance in each of the six healthcare quality domains, only 26-58% were measuring these domains in practice. Allied-health leadership support (62.5%), clinician drive (62.5%), consumer engagement (50%) and medical support (46%) were enablers whilst a lack of resources (human, time, financial (47%)), healthcare performance frameworks and/or policies (40%) were identified as barriers. Given the opportunity, clinicians would invest the most financial resources in digital solutions as a core strategy to improve performance evaluation. Allied-health professionals expressed strong support for principles of performance evaluation, however in practice, performance evaluation is still in its infancy in professional role substitution models of care. Organisations can implement strategies that maximise the enablers whilst addressing barriers identified to improve performance evaluation in these models of care.

Organellar phylogenomics of Ophioglossaceae fern genera.

Previous phylogenies showed conflicting relationships among the subfamilies and genera within the fern family Ophioglossaceae. However, their classification remains unsettled where contrasting classifications recognize four to 15 genera. Since these treatments are mostly based on phylogenetic evidence using limited, plastid-only loci, a phylogenomic understanding is actually necessary to provide conclusive insight into the systematics of the genera. In this study, we have therefore compiled datasets with the broadest sampling of Ophioglossaceae genera to date, including all fifteen currently recognized genera, especially for the first time the South African endemic genus Rhizoglossum. Notably, our comprehensive phylogenomic matrix is based on both plastome and mitogenome genes. Inferred from the coding sequences of 83 plastid and 37 mitochondrial genes, a strongly supported topology for these subfamilies is presented, and is established by analyses using different partitioning approaches and substitution models. At the generic level, most relationships are well resolved except for few within the subfamily Ophioglossoideae. With this new phylogenomic scheme, key morphological and genomic changes were further identified along this backbone. In addition, we confirmed numerous horizontally transferred (HGT) genes in the genera Botrypus, Helminthostachys, Mankyua, Sahashia, and Sceptridium. These HGT genes are most likely located in mitogenomes and are predominately donated from angiosperm Santalales or non-Ophioglossaceae ferns. By our in-depth searches of the organellar genomes, we also provided phylogenetic overviews for the plastid and mitochondrial MORFFO genes found in these Ophioglossaceae ferns.

Reallocating time between device-measured 24-hour activities and cardiovascular risk in Asian American immigrant women: An isotemporal substitution model.

The 24-hour day consists of physical activity (PA), sedentary behavior, and sleep, and changing the time spent on one activity affects the others. Little is known about the impact of such changes on cardiovascular risk, particularly in Asian American immigrant (AAI) women, who not only have a higher cardiovascular risk but also place greater cultural value on family and domestic responsibilities compared to other racial/ethnic groups. The purpose of this study was to evaluate the effects of reallocating 30 minutes of each 24-hour activity component for another on BMI, waist circumference, and blood pressure in AAI women. Seventy-five AAI women completed 7 days of hip and wrist actigraphy monitoring and were included in the analysis (age = 61.5±8.0 years, BMI = 25.5±3.6 kg/m2, waist circumference = 85.9±10.2 cm). Sleep was identified from wrist actigraphy data, and moderate-to-vigorous PA (MVPA), light PA, and sedentary behavior identified from hip actigraphy data. On average, the women spent 0.5 hours in MVPA, 6.2 hours in light PA, 10 hours in sedentary activities, and 5.3 hours sleeping within a 24-hour day. According to the isotemporal substitution models, replacing 30 minutes of sedentary behavior with MVPA reduced BMI by 1.4 kg/m2 and waist circumference by 4.0 cm. Replacing that same sedentary time with sleep reduced BMI by 0.5 kg/m2 and waist circumference by 1.4 cm. Replacing 30 minutes of light PA with MVPA decreased BMI by 1.6 kg/m2 and waist circumference by 4.3 cm. Replacing 30 minutes of light PA with sleep also reduced BMI by 0.8 kg/m2 and waist circumference by 1.7 cm. However, none of the behavioral substitutions affected blood pressure. Considering AAI women's short sleep duration, replacing their sedentary time with sleep might be a feasible strategy to reduce their BMI and waist circumference.

A simple method for estimating time-irreversible nucleotide substitution rates in the SARS-CoV-2 genome

Abstract SARS-CoV-2 is the cause of the current worldwide pandemic of severe acute respiratory syndrome. The change of nucleotide composition of the SARS-CoV-2 genome is crucial for understanding the spread and transmission dynamics of the virus because viral nucleotide sequences are essential in identifying viral strains. Recent studies have shown that cytosine (C) to uracil (U) substitutions are overrepresented in SARS-CoV-2 genome sequences. These asymmetric substitutions between C and U indicate that traditional time-reversible substitution models cannot be applied to the evolution of SARS-CoV-2 sequences. Thus, we develop a new time-irreversible model of nucleotide substitutions to estimate the substitution rates in SARS-CoV-2 genomes. We investigated the number of nucleotide substitutions among the 7862 genomic sequences of SARS-CoV-2 registered in the Global Initiative on Sharing All Influenza Data (GISAID) that have been sampled from all over the world. Using the new method, the substitution rates in SARS-CoV-2 genomes were estimated. The C-to-U substitution rates of SARS-CoV-2 were estimated to be 1.95 × 10−3 ± 4.88 × 10−4 per site per year, compared with 1.48 × 10−4 ± 7.42 × 10−5 per site per year for all other types of substitutions.

Maximum likelihood estimation and natural pairwise estimating equations are identical for three sequences and a symmetric 2-state substitution model

Consider the problem of estimating the branch lengths in a symmetric 2-state substitution model with a known topology and a general, clock-like or star-shaped tree with three leaves. We show that the maximum likelihood estimates are analytically tractable and can be obtained from pairwise sequence comparisons. Furthermore, we demonstrate that this property does not generalize to larger state spaces, more complex models or larger trees. Our arguments are based on an enumeration of the free parameters of the model and the dimension of the minimal sufficient data vector. Our interest in this problem arose from discussions with our former colleague Freddy Bugge Christiansen.

Refined Evolutionary Trees Through an Exceptionally Compatible Alignment-Substitution Model

A phylogenetic tree commonly represents evolutionary relationships within a set of protein sequences. Various methods and strategies have been used to improve the accuracy of phylogenetic trees, but their capacity to derive a biologically credible relationship appears to be overestimated. Although the quality of the protein sequence alignment and the choice of substitution matrix are preliminary constraints to define the biological accuracy of the overlapped residues, the alignment is not iteratively optimized through the statistical testing of residue-substitution models. The exact alignment protocol and substitution model information are by default used for every sequence set by a server to construct an often-irrelevant phylogenetic tree, and no sequence-based tailoring of phylogenetic strategy is implemented by any server. Rigorously constructing 270 evolutionary trees, constructed using IQ-TREE based on 13 different alignments (Clustal-Omega, Kalign, MAFFT, MUSCLE, TCoffee, and Promals3D, as well as their HHPred-based hidden Markov model [HMM] alignments using HHPred) and nine substitution models (Dayhoff, JJT, block substitution matrix62, WAG, probability matrix from blocks [PMB], direct computation with mutability [DCMUT], JTTDCmut, LG, and variable time), the present study highlights the failure of the current methods and emphasizes the need for a more accurate scrutiny of the entire phylogenetic methodology. MUSCLE alignment and the LG and Dayhoff matrices yield more accurate phylogenetic results for sequences shorter than 500 residues for the log-likelihood measure. Moreover, Kalign 1 HMM alignment yields the top-ranked tree with the lowest tree length score with only the PMB matrix, making this substitution model more accurate in terms of total tree length score. The suggested strategy would be beneficial for understanding the potential pitfalls of phylogenetic inference and would aid us in deriving a more accurate evolutionary relationship for a sequence dataset.

О некоторых механизмах импортозамещения во второй сфере АПК России

In this work, an analysis of a possible option for introducing the “sandbox mechanism” into agriculture of the Russian Federation was carried out; the authors investigated the possible economic consequences of this implementation. The emphasis is placed on the fact that this step will allow our country to enter a completely new innovative path of agricultural development. The following research results were obtained: failures in imports and exports due to large-scale disruptions in food supply chains are the results of Western sanctions pressure on the Russian food market. Russia is still dependent on imports, so the main thesis is that exports and import substitution are complementary strategies. In order to level out the problem of import substitution, the authors propose the use of a “sandbox mechanism”; it is quite obvious that, through a certain methodology, we will reduce the time and costs of entering export-oriented products into the national market, and then world markets and, subsequently, expanding production capabilities for domestic manufacturers. The key directions of state policy in the field of import substitution have been identified - ensuring technological sovereignty in the country through the production of import-substituting and export-oriented products. The main threats to food security for 2024-2025 are formulated: the further use of parallel imports will only worsen the already difficult relations with the West, and new risks will also appear - an uncontrolled rise in food prices and, as a result, a loss of confidence of the domestic consumer. Specific models of import substitution are proposed with an emphasis on domestic high-tech developments and scientific competencies in the food market.

Genetic differentiation of Hippa adactyla based on CO1 gene sequence in Sundaland

The Hippidae is a family of sand crabs that inhabit intertidal ecosystems, specifically in sandy areas scattered throughout the coast. Differences in habitat conditions cause variations in Hippidae members. Hippa adactyla is a member of the genus Hippa. This study aimed to map the genetic differentiation between Hippa adactyla populations in the Greater Sunda Islands. The sand crab (Hippa adactyla) samples were taken from Sumatra (Pariaman, Bengkulu, Lampung) and Java (Pangandaran, Pelabuhan Ratu, Banyuwangi) by handcatching then stored in alcohol 96%. Total genomic DNA was extracted from the muscle tissue of the samples using a commercial DNA Extraction KIT. The upper part of the COI gene (5' end) (±750 bp) was amplified using specific primers. Based on the K2P substitution model, the genetic distance of the Pangandaran population to the Bali Strait population is the same as that of the Sumatran population (0.062). Genetic diversity ranges from 0.000 to 0.123. Haplotype diversity was 0.928, consisting of 18 haplotypes.

Leisure-time physical activity as a key protective factor against cognitive decline in older adults: an isotemporal substitution analysis.

This study aimed to test hypothesized effects of replacing sedentary behavior with moderate-to-vigorous physical activity, sleep, and different domains of physical activity by equivalent amounts on suggestive cognitive decline in an older adult population. This was a cross-sectional study including 473 older adults aged ≥ 60 years. Cognitive decline was assessed using the Mini-Mental Health Examination. Physical activity, its different domains and the time of exposure to sedentary behavior were assessed using the International Physical Activity Questionnaire. For data analysis, two isotemporal substitution models were constructed using Poisson regression. The first model tested the effect of sleep time, sedentary behavior, and moderate-to-vigorous physical activity on cognitive decline. The second model was used to determine the effect of physical activity domains (leisure, work, transport, and home), sleep time, and sedentary behavior on cognitive decline. Physical activity during leisure time was protective against cognitive decline among all domains tested, replacing sedentary behavior, sleep, and transport. Conversely, substitution of the leisure domain for sedentary behavior, sleep, and transport was considered a risk factor for cognitive decline. Leisure time proved to be a strong protective factor in reducing the risk of cognitive decline, and it is necessary to encourage and stimulate public policies that include it.

NFTracer: Tracing NFT Impact Dynamics in Transaction-flow Substitutive Systems with Visual Analytics.

Impact dynamics are crucial for estimating the growth patterns of NFT projects by tracking the diffusion and decay of their relative appeal among stakeholders. Machine learning methods for impact dynamics analysis are incomprehensible and rigid in terms of their interpretability and transparency, whilst stakeholders require interactive tools for informed decision-making. Nevertheless, developing such a tool is challenging due to the substantial, heterogeneous NFT transaction data and the requirements for flexible, customized interactions. To this end, we integrate intuitive visualizations to unveil the impact dynamics of NFT projects. We first conduct a formative study and summarize analysis criteria, including substitution mechanisms, impact attributes, and design requirements from stakeholders. Next, we propose the Minimal Substitution Model to simulate substitutive systems of NFT projects that can be feasibly represented as node-link graphs. Particularly, we utilize attribute-aware techniques to embed the project status and stakeholder behaviors in the layout design. Accordingly, we develop a multi-view visual analytics system, namely NFTracer, allowing interactive analysis of impact dynamics in NFT transactions. We demonstrate the informativeness, effectiveness, and usability of NFTracer by performing two case studies with domain experts and one user study with stakeholders. The studies suggest that NFT projects featuring a higher degree of similarity are more likely to substitute each other. The impact of NFT projects within substitutive systems is contingent upon the degree of stakeholders' influx and projects' freshness.

Distinct Clusters of HIV-1 CRF01_AE in Zhejiang, China: High-Risk Transmission Cluster 4 Requires Heightened Surveillance.

HIV-1 CRF01_AE is becoming the predominant HIV-1 subtype among patients in China. The distribution and characteristics of transmission clusters of HIV-1 CRF01_AE in Zhejiang, Eastern China remains unclear. This study analyzed the epidemiologic characteristics and transmission clusters of HIV-1 CRF01_AE in Zhejiang. Plasma samples obtained from 152 patients of HIV-1 CRF01_AE not undergoing ART were used to amplify HIV-1 pol and env gene. CRF01_AE drug resistance mutations (DRM) prevalence was analysed using Stanford University's HIV Drug Resistance Database. A phylogenetic tree was constructed using FastTree (version 2.1.11) based on the GTR nucleotide substitution model and visualized using Figtree (version 1.4.4) and The Interactive Tree of Life; the Chinese HIV Gene Sequence Data Platform was used to construct genetic transmission networks. Majority samples could be grouped into CRF01_AE transmission Clusters 1 (11.2%), 4 (64.5%), and 5 (7.2%). The CD4+ T-cell counts in Cluster 1, 4a, 4b are lower than 5 were 15, 38, 30, and 248 cells/mm3, respectively (P < 0.05). The high X4 tropism rates were 13.2%, 11.8%, 20.0%, and 0.0% in Clusters 1, 4a, 4b, and 5, respectively. DRM rates in Clusters 4a and 4b were 17.6%, and 25.45% respectively (P < 0.05), whereas they were 17.6% and 18.2% in Clusters 1 and 5, respectively. In total, 24 transmission genetic networks, comprising 72 sequences and 61 links, were discovered; of them, 61.2%, 11.7%, and 18.2% were from Clusters 4, 1, and 5, respectively (P < 0.05). In Zhejiang, different CRF01_AE clusters displayed unique clinic features. Cluster 4, particularly Cluster 4b, was considered a high-risk transmission cluster. The surveillance of epidemiology of HIV-1 should be enhanced to minimize its transmission.

First Report of Vascular Wilt on Peanut in Mexico Caused by Fusarium incarnatum.

During the fall of 2020, wilt symptoms were presented in a commercial peanut field (Arachis hypogaea L.), variety 'CHAMPS' in Buenavista de Benito Juárez, México (18.460501 N, 98.627100 W). A peanut field was scout 80 days after planting, and plants presenting symptoms of root and crown rot, vascular chlorosis, and tissue death, were sampled. Disease incidence was estimated at 55% of the field. Isolations of the pathogen were made from stem and root tissues. These samples were disinfected by immersion in 1% sodium hypochlorite (NaClO) for 3 min and immersion in 70% ethanol for 1 min with 3 rinses with sterile distilled water. Subsequently, 0.5 cm fragments were removed and placed on media of potato dextrose agar (PDA) and Rose Bengal. Petri dishes were incubated in complete darkness at 26 °C for 7 days. Abundant aerial white mycelium was observed, which turned tan to brown and showed a slightly orange color on the back of the plate. Finally, pure cultures were obtained by single sporing (Aslam et al. 2020). Colonies identified as Fusarium spp. (Leslie and Summerell, 2006) were sub cultured on PDA agar media and Spezieller Nährstoffarmer (Pérez-Vázquez et al. 2022) to observe microscopic characteristics of ten isolates. Colonies of a representative strain (MA-PET-03) produced hyaline septate hyphae, macroconidia dorsoventrally curved, tapering towards both ends of 51-57 × 4.6-5.4 μm (n = 80) with most having 7 septa. Microconidia were unicellular, nonseptate, hyaline, and ovoid, 12.4-20.6 × 3.6-4.1 μm (n = 80). Chlamydospores were abundant and globose 5-11 μm diam (n = 80), intercalary, and solitary in short chains (Figure 1). The observed microscopic characteristics correspond to the description of Fusarium incarnatum (Khoa et al. 2006; Leslie and Summerell, 2006; Xia et al. 2019). The molecular analyses were done with genomic DNA extracted as previously reported by Pérez et al. (2022). A region from the translation elongation factor gene was PCR amplified using EF688/EF1251 primers (Alves et al. 2008) and from the calmodulin (CMDA) gene, using CALDF1 and CALDR1 primers (Noel et al. 2022). The corresponding PCR products were purified with the Gen Elute™ PCR Clean-Up Kit from Sigma-Aldrich Co. (St. Louis Mo. USA) and sequenced at Macrogen Inc. (Seoul, South Korea). The phylogenetic analysis was inferred using the Bayesian Inference method with 1 million generations, final standard deviation was 0.008516. The nucleotide substitution model for Calmodulin (CMDA) was GTR + G and for TEF1 GTR + I + G. This analysis showed that strain MA-PET-03 shared 100% identity (Figure 2) with F. incarnatum ex-type strain CBS 132.73 (CMDA: MN170342; TEF1: JMN1704761) from Pointed gourd (Trichosanthes dioica) in Malawi Africa. The sequences of strain MA-PET-03 were deposited in GenBank (CMDA: OQ679820; TEF1: OQ679821). The pathogenicity tests were carried out with a total of 20 peanut plants, variety 'CHAMPS', 18 days after having been sown in groups of five seeds in 250 g plastic pots, containing a sterilized mixture of Peatmoss and Agrellite (1:1 v./v), with four repetitions. The seeds were inoculated by immersion in 20 mL of spore suspension (106 conidia/mL) isolated from F. incarnatum for 10 min. The plants were maintained in a greenhouse (70% relative humidity and 28 °C) until the appearance of disease symptoms of. Likewise, 10 control plants were inoculated with sterile water. The experiment was repeated twice. The symptoms developed 15 days after inoculation, the plants presented symptoms of chlorosis, wilting of leaves, stems, and roots, a manifestation similar to that observed in the field, while the control plants remained healthy. F. incarnatum was consistently reisolated from inoculated stems and roots and identified by the microscopic characteristics described above. Peanut leaf blight and wilt disease caused by F. incarnatum has been reported in India (Thirumalaisamy et al. 2019). This first report emphasizes that this phytopathogen is a new threat for peanut producers in Mexico, which is why our finding suggests the need to seek new strategies for its control.

Isotemporal Substitution Modeling on Sedentary Behaviors and Physical Activity With Mortality Among People With Different Diabetes Statuses: A Prospective Cohort Study From the National Health and Nutrition Examination Survey Analysis 2007-2018.

To assess the associations of replacing sedentary behavior with different types of physical activity with mortality among the US adults of varying diabetes statuses. This prospective cohort study included 21,637 participants (mean age, 48.5y) from the National Health and Nutrition Examination Survey 2007-2018. Physical activity including leisure-time moderate-vigorous-intensity activity (MVPA), walking/bicycling, worktime MVPA, and sedentary behavior. We conducted an isotemporal substitution analysis using Cox regression to estimate the associations between replacements and mortality risks. We found significant protective associations between replacing 30minutes per day sedentary behavior with 3 types of physical activity and all-cause, cardiovascular disease (CVD) mortality risk (except worktime MVPA for CVD mortality) among total participants, with hazard ratio (HR; 95% confidence interval [CI]) ranging from 0.86 (0.77-0.95) to 0.96 (0.94-0.98). Among participants with diagnosed diabetes, replacing sedentary behavior with leisure-time MVPA was associated with a lower all-cause mortality risk (HR 0.81, 95% CI, 0.70-0.94), which was also observed in other subgroups, with HRs (95% CI) ranging from 0.87 (0.80-0.94) to 0.89 (0.81-0.99). Among those with prediabetes/undiagnosed diabetes, replacing sedentary behavior with walking/bicycling was associated with lower CVD mortality risk, and replacement to work-time MVPA was associated with lower all-cause and CVD mortality risk, with HRs (95% CI) ranging from 0.72 (0.63-0.83) to 0.96 (0.92-0.99). Replacing sedentary behaviors with 30minutes per day leisure-time MVPA was associated with lower all-cause mortality, regardless of diabetes statuses. Among people with prediabetes/undiagnosed diabetes, walking/bicycling was additionally associated with lower CVD mortality, and worktime MVPA was associated with lower all-cause and CVD mortality.

The association between nap time, nighttime sleep and depression in Chinese older adults: A cross-sectional study.

To explore the relationship among nap time, night sleep time, and depression among the elderly and to determine the recommended sleep time to provide a scientific and reasonable basis for the prevention and control of depression in residents. Based on the 2020 China Health and Elderly Care Longitudinal Survey (CHARLS) database, the demographic data and the health and lifestyle information of the study subjects were obtained. A total of 2,959 valid samples were included, and the relationship between sleep and depression was explored by logistic regression, restricted cubic spline, and isotemporal substitution model. In the cross-sectional analysis, no statistical relationship was observed between napping time and depression in the elderly. The optimal sleep interval for the elderly at night is 6-7.5 hours, and the health benefits are the largest. A sleep duration of < 6 hours at night (OR = 2.25, 95% CI: 1.90 to 2.65) was associated with a high likelihood of depression. The probability of depression in the elderly continues to decrease with the increase of time after the nighttime sleep duration reaches 6 hours and is at the lowest level of about 7.5 hours. Moreover, the probability of depression will increase after the sleep duration exceeds 9.5 hours. In the range of 6-7.5 hours of recommended sleep duration, the likelihood of depression in the elderly will be reduced by 0.311 for every 30-minute increase in nighttime sleep time instead of noon sleep time. The duration of nighttime sleep and the probability of depression have a U-shaped relationship. The likelihood of depression was lowest in the elderly who slept for 6-8 hours at night, and the likelihood of depression could be reduced by increasing the nighttime sleep time instead of napping time within the optimal nighttime sleep range.

Bayesian phylogenetic analysis of pitch-accent systems based on accentual class merger: a new method applied to Japanese dialects

Abstract Unlike studies of the evolutionary relationship between languages, the dialect-level variation within a language has seldom been studied within the framework of a phylogenetic tree, because frequent lexical borrowing muddles the evidence of shared ancestry. The phonological history of Japanese is an exceptional case study where the phenomenon called accentual class merger enables the phylogenetic analysis of dialectal pitch-accent systems in a way that is not subject to borrowing. However, previous studies have lacked statistical analysis and failed to evaluate the relative credence of alternative hypotheses. Here we developed a novel substitution model that describes the mutation of pitch-accent systems driven by accentual class merger and integrated the model into the framework of Bayesian phylogenetic inference with geographical diffusion. Applying the method to data on the pitch-accent variation in modern Japanese dialects and historical documents collected from literature, we reconstructed the evolutionary history and spatial diffusion of pitch-accent systems. Our result supports the monophyly of each of three groups of pitch-accent systems in conventional categorization, namely Tokyo type, Keihan type, and N-kei (N-pattern) type of Kyushu, whereas the monophyly of the Tokyo type has been highly controversial in previous studies. The divergence time of the mainland pitch-accent systems was estimated to be from mid-Kofun to early Heian period. Also, it is suggested that the modern Kyoto dialect did not inherit its accent patterns from Bumoki but from an unrecorded lineage which survived from the Muromachi period. Analyses on geographical diffusion suggest that the most recent common ancestor (MRCA) of all the taxa and that of Keihan type were located in or around the Kinki region, whereas the MRCA of N-kei type was located in northern to central Kyushu. The geographical location of the MRCA of Tokyo type remains unclear, but the Kinki and Kanto regions are the most plausible candidates.

Resilience of Foreign Direct Investment

Facing a world of continuous, overlapping disruptions, countries are recognizing resilience as the imperative condition for securing a sustainable and inclusive future. For developing countries, such as Costa Rica, Foreign Direct Investment (FDI) has had a positive impact specifically on economic growth, total exports, and the number of people employed. Costa Rica has undergone an important structural transformation in the last three decades, having gone from an import substitution model to a development model oriented to the promotion of exports and attraction of foreign direct investment (FDI). The efforts made to achieve greater international insertion of its economy have allowed the country to diversify its exportable offer, position itself as an attractive destination for investment in search of efficiency, and integrate its exports into global value chains.; ultimately becoming more resilient to external shocks. During the pandemic of COVID-19 Costa Rica’s Investment Promotion Agency (CINDE) reached record numbers in investment projects and job creation, the paper focuses on the years 2020-2021 and the attraction of FDI to the Costa Rica.