Lundqvistbertram1465

An evidence base was developed to facilitate adoption of hemp (Cannabis sativa L.) in tropical environments (Wimalasiri et al. https://www.selleckchem.com/products/ABT-737.html (2021)). Agro-ecological requirements data of hemp were acquired from international databases and was contrasted against local climate and soil conditions using an augmented species ecological niche modeling. The outputs were then used to map the suitability for all locations for 12 possible calendar-year seasons within peninsular Malaysia. The most probable seasonal map was then used to generate a land suitability map for agricultural areas across 5 standard land suitability categories. Having developed the general suitability maps of hemp in Malaysia, detailed crop growth data were collected from literature and was then used to simulate an ideotype crop model (for both seed and fiber) for selected locations across Malaysia, where detailed daily climate data and soil information were available. Following the development of a downscaled future climate dataset, a simulated dataset of yield for the future conditions were also developed. Next, the simulated seed and fiber yield data were used to create yield maps for hemp across peninsular Malaysia. An economic value and cost-benefit analyses were also carried out using data that were collected from literature and local sources to simulate the true cost and benefit of growing hemp both for now and future conditions. This data provides the first ever evidence base for an underutilized crop in Southeast Asia. All data that was generated using the proposed published framework for the adoption of hemp in the future are stored in their original format in an online repository and is described in this article. The data can be used to map the suitability at finer scales, analyze and re-calibrate a yield model using any climate scenario and evaluate the economics of production using the standard methodology described in the above-mentioned publication.Trees are natural objects, where deviations through the branches amplify geometric data for 3D representation and bring challenges to various applications dealing with 3D models, such as compression, visualization, symmetry detection, and radiative transfer simulation. This data article describes dataset of approximately symmetric 3D tree models with manually identified predominant symmetry plane in each tree model. Parameters for procedural tree synthesis were manually adjusted to produce approximately bilaterally symmetric trees which are grouped into species with distinct features. In the last step, each tree was manually annotated with approximate symmetry plane. This dataset contains geometric data of branches, manually defined parameters for tree synthesis method, point clouds, and a division plane with a score of bilateral symmetry strength. The generated trees can be used as benchmark data for verification of approximate reflectional symmetry detection methods. Additionally, generated 3D tree models can be used for other applications requiring pregenerated trees, such as compression of tree models, instancing, decimation methods, and radiative transfer simulation and modeling.Hypertensive nephropathy is the second most frequent cause of end-stage renal disease in western societies. In previous experiments in our laboratory with proteomic analysis of renal parenchyma of SHR hypertensive animals, we identified two molecules, namely SGLT2 and CLIC4, associated with the development of hypertension. Here, we apply the methodology of targeted proteomic analysis in kidney biopsies from patients with hypertensive nephropathy to study the role of SGLT2 and CLIC4 in the pathogenesis of the disease. Relative quantification data of SGLT2 and CLIC4 via means of targeted proteomic analysis in human kidney biopsies from hypertensive patients and normotensive controls are reported. In addition, validation data of the proteomic results via immunofluorescence are presented. Renal tissue biopsies (N = 17) from archival material of patients with hypertensive nephropathy and normotensive controls were used. Targeted proteomic analysis was performed using the method ``Parallel Reaction Monitoring (PR of hypertensive kidney disease.We present a novel, global 30 arc seconds (∼1 km at the equator) population projection dataset covering each year from 2010 to 2100 that is consistent with both country level population and gridded urban fractions from the Coupled Model Intercomparison Project 6 (CMIP6). While IPCC population projections until 2100 are available at country level for Socio-Economic Pathways (SSPs), land cover (including the urban fraction) is only available for Representative Concentration Pathways (RCPs). To perform simulations of e.g., future supply and demand for agricultural products, fine scale projections of population density are needed for combinations of SSPs and RCPs. Therefore, we generated a 30 arc seconds dataset consistent with both SSPs and RCPs within the framework of the IPCC. This data set is useful in applications where spatially explicit projections of aspects of global change are investigated at a fine spatial scale. For example, if a link function between night-time lights and population density is found based on current satellite images and recent population density data, a projection of night-time light lights can be generated by using this link function with our projected population density. Such a projection can for example be used to evaluate the potential for future light pollution.Cyberlindnera sargentensis strain SHA 17.2, isolated from a Swiss soil sample, exhibited strong antagonistic activity against several plant pathogenic fungi in vitro and was highly competitive against other yeasts in soil. As a basis for identifying the mechanisms underlying its strong antagonistic activity, we have sequenced the genome of C. sargentensis (SHA 17.2) by long- and short read sequencing, de novo assembled them into seven contigs/chromosomes and a mitogenome (total genome size 11.4 Mbp), and annotated 5455 genes. This high-quality genome is the reference for transcriptome and proteome analyses aiming at elucidating the mode of action of C. sargentensis against fungal plant pathogens. It will thus serve as a resource for identifying potential biocontrol genes and performing comparative genomics analyses of yeast genomes.Digital rock images are computational representations that capture the geometrical complexity of systems present ubiquitously in nature. In recent years, their use has become widespread due to the increasing availability of repositories, and open-source physics simulators and analysis tools. Here, we present a dataset of 3D binary geometries in a standardized format that represent a wide variety of geological and engineering systems. Our data is freely available at [1].Apical periodontitis is an immune inflammatory response around periapical tissues as a result of pathogens invasion into the root canal. The host immunoinflammatory response could determine the progression of this disease, which involves the recruitment of immune cells, and the release of several cytokines in the lesion site. The 5-lipoxygenase pathway has been activated in some osteolytic diseases due to its capacity to interfere in the proliferation and differentiation of bone cells, including the osteoclasts. As mean to understand the inflammatory genes regulation in the apical periodontitis progression, we evaluated the network of 66 genes related to cytokines, chemokines and other inflammatory mediators and receptors in the wild-type (WT) and 5-lipoxygenase enzyme genetically deficient mice (KO). This article presents data not published but related to the research article "Effects of 5-lipoxygenase gene disruption on inflammation, osteoclastogenesis and bone resorption in polymicrobial apical periodontitis" .The dataset includes the particulars of 515 respondents on safety behavior during COVID-19. The questionnaires were adapted using Social Learning Theory and Social Exchange Theory. The variables included in dataset are Transactional Leadership (TSL), Transformational Leadership (TFL), Employee Well-Being (EWB) and Safety behavior (SB). Moreover, the dataset also contains the demographic profile of the respondents. Data was collected with the help of self-administered questionnaire from eight public hospitals in Punjab, Pakistan, namely Services Hospital Lahore, Sir Ganga Ram Hospital Lahore, Government General Hospital Faisalabad, DHQ Hospital Chiniot, Municipal General Hospital Sargodha, DHQ Hospital Jhang, DHQ Hospital Multan and Sulehri Children & General Hospital Sialkot. This dataset could provide a significant insight for future research in employee safety behavior.In mid-March 2020, the World Health Organization declared COVID-19, a worldwide public health emergency. This paper presents a study of an SEIRV epidemic model with optimal control in the context of the Caputo fractional derivative of order 0 less then ν ≤ 1 . The stability analysis of the model is performed. We also present an optimum control scheme for an SEIRV model. The real time data for India COVID-19 cases have been used to determine the parameters of the fractional order SEIRV model. The Adam-Bashforth-Moulton predictor-corrector method is implemented to solve the SEIRV model numerically. For analyzing COVID-19 transmission dynamics, the fractional order of the SEIRV model is found to be better than the integral order. Graphical demonstration and numerical simulations are presented using MATLAB (2018a) software.The relationship between maternal symptoms and problematic infant feeding in the context of tongue-tie is unknown. In a sample of infants with tongue-tie undergoing frenotomy and their mothers, the aims of this study were to (1) describe changes in maternal symptoms pre- and post-frenotomy, and (2) evaluate the relationships between maternal symptoms and symptoms of problematic feeding pre- and post-frenotomy. Mother-infant dyads were recruited from 1 pediatric dental office between July and November 2020. The sample included 102 mother-infant dyads; 84 completed the follow-up survey. Maternal symptoms of painful and difficult latch, creased/cracked nipples, bleeding, or abraded nipples, chewing of the nipple, and feelings of depression were significantly less common after tongue-tie revision. Poor latch onto the breast was associated with feeding difficulties at both time points. Frenotomy resulted in a decrease of symptoms in breastfeeding mothers. Maternal symptoms and feeding problems persisting post-frenotomy warrant further evaluation.Throughout the pandemic, public health and long-term care professionals in our urban California county have linked local and state COVID-19 data and performed observational exploratory analyses of the impacts among our diverse long-term care facilities (LTCFs). Case counts from LTCFs through March 2021 included 4309 (65%) in skilled nursing facilities (SNFs), 1667 (25%) in residential care facilities for the elderly (RCFEs), and 273 (4%) in continuing care retirement communities (CCRCs). These cases led to 582 COVID-19 resident deaths and 12 staff deaths based on death certificates. Data on decedents' age, race, education, and country of birth reflected a hierarchy of wealth and socioeconomic status from CCRCs to RCFEs to SNFs. Mortality rates within SNFs were higher for non-Whites than Whites. Staff accounted for 42% of LTCF-associated COVID-19 cases, and over 75% of these staff were unlicensed. For all COVID-19 deaths in our jurisdiction, both LTCF and community, 82% of decedents were age 65 or over. Taking a comprehensive, population-based approach across our heterogenous LTCF landscape, we found socioeconomic disparities within COVID-19 cases and deaths of residents and staff.