A Scale‐Aware Parameterization for Estimating Subgrid Variability of Downward Solar Radiation Using High‐Resolution Digital Elevation Model Data

AbstractSubgrid variability of solar downward radiation at the surface can be important in estimating subgrid variability of other radiation‐driven variables, such as snowmelt and soil temperature. However, this information is ignored in current hydrological and weather prediction models as only the mean downward solar radiation of model grid is used. In this study, a parameterization for estimating subgrid variability of downward solar radiation from the model grid mean using high‐resolution digital elevation model (DEM) data is proposed. This scheme considers aspect and slope effects on the subgrid variability. The advantage of this scheme is that computations are performed at the same resolution as the considered hydrological or weather prediction model, and subgrid topographic properties derived from high‐resolution DEM data are used as static inputs. This proposed scheme has been verified in mountainous and flat areas, respectively. It is found that the scheme can well estimate the subgrid variability of downward solar radiation. Also, effects of the DEM resolution on the calculated subgrid variability and the spatial correlation of downward solar radiation are studied. Results show that modeled subgrid variability highly depends on the resolution of the DEM, while the spatial correlation is negligibly time dependent. The proposed scheme can be used in any hydrological and weather prediction model to estimate subgrid variability of downward solar radiation. For example, it is planned to be tested in future NOAA regional and global weather models to account for the effects of the subgrid variability of downward solar radiation on the snow model of the land‐surface component

Investigation of 5’-norcarbocyclic nucleoside analogues as antiprotozoal and antibacterial agents

Carbocyclic nucleosides have long played a role in antiviral, antiparasitic, and antibacterial therapies. Recent results from our laboratories from two structurally related scaffolds have shown promising activity against both Mycobacterium tuberculosis and several parasitic strains. As a result, a small structure activity relationship study was designed to further probe their activity and potential. Their synthesis and the results of the subsequent biological activity are reported herein

Effects of frozen soil on soil temperature, spring infiltration, and runoff: results from the PILPS 2(d) experiment at Valdai, Russia

Permission to place copies of these works on this server has been provided by the American Meteorological Society (AMS). The AMS does not guarantee that the copies provided here are accurate copies of the published work. © Copyright 2003 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108, as revised by P.L. 94-553) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form on servers, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (http://www.ametsoc.org/AMS) or from the AMS at 617-227-2425 or [email protected] Project for Intercomparison of Land-Surface Parameterization Schemes phase 2(d) experiment at Valdai, Russia, offers a unique opportunity to evaluate land surface schemes, especially snow and frozen soil parameterizations. Here, the ability of the 21 schemes that participated in the experiment to correctly simulate the thermal and hydrological properties of the soil on several different timescales was examined. Using observed vertical profiles of soil temperature and soil moisture, the impact of frozen soil schemes in the land surface models on the soil temperature and soil moisture simulations was evaluated. It was found that when soil-water freezing is explicitly included in a model, it improves the simulation of soil temperature and its variability at seasonal and interannual scales. Although change of thermal conductivity of the soil also affects soil temperature simulation, this effect is rather weak. The impact of frozen soil on soil moisture is inconclusive in this experiment due to the particular climate at Valdai, where the top 1 m of soil is very close to saturation during winter and the range for soil moisture changes at the time of snowmelt is very limited. The results also imply that inclusion of explicit snow processes in the models would contribute to substantially improved simulations. More sophisticated snow models based on snow physics tend to produce better snow simulations, especially of snow ablation. Hysteresis of snow-cover fraction as a function of snow depth is observed at the catchment but not in any of the models

Effects of Frozen Soil on Soil Temperature, Spring Infiltration, and Runoff: Results from the PILPS 2(d) Experiment at Valdai, Russia

The Project for Intercomparison of Land-Surface Parameterization Schemes phase 2(d) experiment at Valdai, Russia, offers a unique opportunity to evaluate land surface schemes, especially snow and frozen soil parameterizations. Here, the ability of the 21 schemes that participated in the experiment to correctly simulate the thermal and hydrological properties of the soil on several different timescales was examined. Using observed vertical profiles of soil temperature and soil moisture, the impact of frozen soil schemes in the land surface models on the soil temperature and soil moisture simulations was evaluated. It was found that when soil-water freezing is explicitly included in a model, it improves the simulation of soil temperature and its variability at seasonal and interannual scales. Although change of thermal conductivity of the soil also affects soil temperature simulation, this effect is rather weak. The impact of frozen soil on soil moisture is inconclusive in this experiment due to the particular climate at Valdai, where the top 1 m of soil is very close to saturation during winter and the range for soil moisture changes at the time of snowmelt is very limited. The results also imply that inclusion of explicit snow processes in the models would contribute to substantially improved simulations. More sophisticated snow models based on snow physics tend to produce better snow simulations, especially of snow ablation. Hysteresis of snow-cover fraction as a function of snow depth is observed at the catchment but not in any of the models

The representation of snow in land surface schemes: results from PILPS 2(d)

Permission to place copies of these works on this server has been provided by the American Meteorological Society (AMS). The AMS does not guarantee that the copies provided here are accurate copies of the published work. © Copyright 2001 American Meteorological Society (AMS). Permission to use figures, tables, and brief excerpts from this work in scientific and educational works is hereby granted provided that the source is acknowledged. Any use of material in this work that is determined to be “fair use” under Section 107 of the U.S. Copyright Act or that satisfies the conditions specified in Section 108 of the U.S. Copyright Act (17 USC §108, as revised by P.L. 94-553) does not require the AMS’s permission. Republication, systematic reproduction, posting in electronic form on servers, or other uses of this material, except as exempted by the above statement, requires written permission or a license from the AMS. Additional details are provided in the AMS Copyright Policy, available on the AMS Web site located at (http://www.ametsoc.org/AMS) or from the AMS at 617-227-2425 or [email protected] land surface schemes (LSSs) performed simulations forced by 18 yr of observed meteorological data from a grassland catchment at Valdai, Russia, as part of the Project for the Intercomparison of Land-Surface Parameterization Schemes (PILPS) Phase 2(d). In this paper the authors examine the simulation of snow. In comparison with observations, the models are able to capture the broad features of the snow regime on both an intra- and interannual basis. However, weaknesses in the simulations exist, and early season ablation events are a significant source of model scatter. Over the 18-yr simulation, systematic differences between the models’ snow simulations are evident and reveal specific aspects of snow model parameterization and design as being responsible. Vapor exchange at the snow surface varies widely among the models, ranging from a large net loss to a small net source for the snow season. Snow albedo, fractional snow cover, and their interplay have a large effect on energy available for ablation, with differences among models most evident at low snow depths. The incorporation of the snowpack within an LSS structure affects the method by which snow accesses, as well as utilizes, available energy for ablation. The sensitivity of some models to longwave radiation, the dominant winter radiative flux, is partly due to a stability-induced feedback and the differing abilities of models to exchange turbulent energy with the atmosphere. Results presented in this paper suggest where weaknesses in macroscale snow modeling lie and where both theoretical and observational work should be focused to address these weaknesses

Standards of specialized diabetes care. Edited by Dedov I.I., Shestakova M.V., Mayorov A.Yu. 9th edition

Dear Colleagues! We are glad to present the 9th Edition (revised) of Standards of Diabetes Care. These evidence-based guidelines were designed to standardize and facilitate diabetes care in all regions of the Russian Federation. The Standards are updated on the regular basis to incorporate new data and relevant recommendations from national and international clinical societies, including World Health Organization Guidelines (WHO, 2011, 2013), International Diabetes Federation (IDF, 2011, 2012, 2013), American Diabetes Association (ADA, 2018, 2019), American Association of Clinical Endocrinologists (AACE, 2019), International Society for Pediatric and Adolescent Diabetes (ISPAD, 2014, 2018) and Russian Association of Endocrinologists (RAE, 2011, 2012, 2015). Current edition of the “Standards” also integrates results of completed randomized clinical trials (ADVANCE, ACCORD, VADT, UKPDS, SAVOR, TECOS, LEADER, EXAMINE, ELIXA, SUSTAIN, DEVOTE, EMPA-REG OUTCOME, CANVAS, DECLARE, CARMELINA, REWIND, etc.), as well as findings from the national studies of diabetes mellitus (DM), conducted in close partnership with a number of Russian hospitals. Latest data indicates that prevalence of DM in the world increased during the last decade more than two-fold, reaching some 463 million patients by the end of 2019. According to the current estimation by the International Diabetes Federation, 578 million patients will be suffering from diabetes mellitus by by 2030 and 700 million by 2045. Like many other countries, Russian Federation experiences a sharp rise in the prevalence of DM. According to Russian Federal Diabetes Register, there are at least 4 584 575 patients with DM in this country by the end of 2018 (3,1% of population) with 92% (4 238 503) – Type 2 DM, 6% (256 202) – Type 1 DM and 2% (89 870) – other types of DM, including 8 006 women with gestational DM. However, these results underestimates real quantity of patients, because they consider only registered cases. Results of Russian epidemiological study (NATION) con- firmed that only 54% of Type 2 DM are diagnosed. So real number of patients with DM in Russia is 9 million patients (about 6% of population). This is a great long-term problem, because a lot of patients are not diagnosed, so they don’t receive any treatment ant have high risk of vascular complications. Severe consequences of the global pandemics of DM include its vascular complications: nephropathy, retinopathy, coronary, cerebral, coronary and peripheral vascular disease. These conditions are responsible for the majority of cases of diabetes-related disability and death. In сurrent edition of the “Standards”: New goals of glycemic control for the elderly, based on the presence of functional dependence, as well as for pregnant women, children and adolescents, are given. Added a snippet that describes the continuous glucose monitoring. Only low-density lipoprotein cholesterol level is used as a target for lipid metabolism. Proposes more stringent target levels of blood pressure. It also features updated guidelines on stratification of treatment in newly diagnosed Type 2 diabetes: the excess of the initial level of HbA1c over the target level was used as a criterion. In the recommendations for the personalization of the choice of antidiabetic agents, it is taken into account that in certain clinical situations (the presence of atherosclerotic cardiovascular diseases and their risk factors, chronic heart failure, chronic kidney disease, obesity, the risk of hypoglycemia) certain classes of hypoglycemic agents (or individual drugs) have proven advantages. Recommendations for psychosocial support are added. The position of metabolic surgery as a method of treatment of DM with morbid obesity is updated. Recommendations for diagnostic and treatment of hypogonadism syndrome in men with DM are added. For the first time, evidence levels of confidence and credibility levels of recommendations for diagnostic, therapeutic, rehabilitative and preventive interventions based on a systematic review of the literature are given in accordance with the recommendations of the Center for Healthcare Quality Assessment and Control of the Ministry of Health of the Russian Federation. This text represents a consensus by the absolute majority of national experts, achieved through a number of fruitful discus- sions held at national meetings and forums. These guidelines are intended for endocrinologists, primary care physicians and other medical professionals involved in the treatment of DM. On behalf of the Working Grou

Standards of specialized diabetes care. Edited by Dedov I.I., Shestakova M.V., Mayorov A.Yu. 10th edition

Dear Colleagues!We are glad to present the 10th Edition (revised) of the Standards of Specialized Diabetes Care. These evidence-based guidelines were designed to standardize and facilitate diabetes care in all regions of the Russian Federation.The Standards are updated on the regular basis to incorporate new data and relevant recommendations from national and international clinical societies, including World Health Organization Guidelines (WHO, 2011, 2013), International Diabetes Federation (IDF, 2011, 2012, 2013), European Association for the Study of Diabetes (EASD 2018, 2019), American Diabetes Association (ADA, 2018, 2019, 2021), American Association of Clinical Endocrinologists (AACE, 2020, 2021), International Society for Pediatric and Adolescent Diabetes (ISPAD, 2018) and Russian Association of Endocrinologists (RAE, 2019). Current edition of the “Standards” also integrates results of completed randomized clinical trials (ADVANCE, ACCORD, VADT, UKPDS, SAVOR, TECOS, LEADER, EXAMINE, ELIXA, SUSTAIN, DEVOTE, EMPA-REG OUTCOME, CANVAS, DECLARE, CARMELINA, REWIND, CREDENCE, CAROLINA, DAPA-CKD, DAPA-HF, EMPEROR-Reduced trial, VERIFY, VERTIS CV, PIONEER, etc.), as well as findings from the national studies of diabetes mellitus (DM), conducted in close partnership with a number of Russian hospitals.Latest data indicates that prevalence of DM in the world increased during the last decade more than two-fold, reaching some 537 million patients by the end of 2021. According to the current estimation by the International Diabetes Federation, 643 million patients will be suffering from DM by 2030 and 784 million by 2045.Like many other countries, Russian Federation experiences a sharp rise in the prevalence of DM. According to Russian Federal Diabetes Register, there are at least 4 871 863 patients with DM in this country on 01.01.2021 (3,34% of population) with 92,3% (4 498 826)–Type 2 DM, 5,6% (271 468)–Type 1 DM and 2,1% (101 569)–other types of DM, including 9 729 women with gestational DM. However, these results underestimates real quantity of patients, because they consider only registered cases. Results of Russian epidemiological study (NATION) confirmed that only 54% of Type 2 DM are diagnosed. So real number of patients with DM in Russia is 10 million patients (about 7% of population). This is a great long-term problem, because a lot of patients are not diagnosed, so they don’t receive any treatment and have high risk of vascular complications.Severe consequences of the global pandemic of DM include its vascular complications: nephropathy, retinopathy, coronary, cerebral and peripheral vascular disease. These conditions are responsible for the majority of cases of diabetes-related disability and death.In сurrent edition of the “Standards”:New goals of glycemic control for continuous glucose monitoring (time in range, below range and above range, glucose variability) are given.It also features updated guidelines on stratification of treatment in newly diagnosed Type 2 diabetes.In the recommendations for the personalization of the choice of antidiabetic agents, it is taken into account that in certain clinical situations (the presence of atherosclerotic cardiovascular diseases and their risk factors, chronic heart failure, chronic kidney disease, obesity, the risk of hypoglycemia) certain classes of hypoglycemic agents (or individual drugs) have proven advantages.Indications for the use of antidiabetic agents in chronic kidney disease are expanded.Information about insulin pump therapy is added.Recommendations on vaccination are added.An algorithm for replacing some insulin preparations with others is given.This text represents a consensus by the absolute majority of national experts, achieved through a number of fruitful discussions held at national meetings and forums. These guidelines are intended for endocrinologists, primary care physicians, pediatricians and other medical professionals involved in the treatment of DM.Compared with previous edition of the Standards of Specialized Diabetes Care edited by Dedov I.I., Shestakova M.V., ­Mayorov A.Yu., 10th edition, Moscow, 2021 (signed for printing on 10.09.2021) a number of changes have been made.On behalf of the Working Grou

Contribution of CXCL12 secretion to invasion of breast cancer cells

INTRODUCTION: Neu (HER2/ErbB2) is overexpressed in 25% to 30% of human breast cancer, correlating with a poor prognosis. Researchers in previous studies who used the mouse mammary tumor virus Neu-transgenic mouse model (MMTV-Neu) demonstrated that the Neu-YB line had increased production of CXCL12 and increased metastasis, whereas the Neu-YD line had decreased metastasis. In this study, we examined the role of increased production of CXCL12 in tumor cell invasion and malignancy. METHODS: We studied invasion in the tumor microenvironment using multiphoton intravital imaging, in vivo invasion and intravasation assays. CXCL12 signaling was altered by using the CXCR4 inhibitor AMD3100 or by increasing CXCL12 expression. The role of macrophage signaling in vivo was determined using a colony-stimulating factor 1 receptor (CSF-1R) blocking antibody. RESULTS: The Neu-YD strain was reduced in invasion, intravasation and metastasis compared to the Neu-YB and Neu deletion mutant (activated receptor) strains. Remarkably, in the Neu-YB strain, in vivo invasion to epidermal growth factor was dependent on both CXCL12-CXCR4 and CSF1-CSF-1R signaling. Neu-YB tumors had increased macrophage and microvessel density. Overexpression of CXCL12 in rat mammary adenocarcinoma cells increased in vivo invasion as well as microvessel and macrophage density. CONCLUSIONS: Expression of CXCL12 by tumor cells results in increased macrophage and microvessel density and in vivo invasiveness

Modelling human choices: MADeM and decision‑making

Research supported by FAPESP 2015/50122-0 and DFG-GRTK 1740/2. RP and AR are also part of the Research, Innovation and Dissemination Center for Neuromathematics FAPESP grant (2013/07699-0). RP is supported by a FAPESP scholarship (2013/25667-8). ACR is partially supported by a CNPq fellowship (grant 306251/2014-0)