3D LiDAR Scanning of Urban Forest Structure Using a Consumer Tablet

Forest measurements using conventional methods may not capture all the important information required to properly characterize forest structure. The objective of this study was to develop a low-cost alternative method for forest inventory measurements and characterization of forest structure using handheld LiDAR technology. Three-dimensional (3D) maps of trees were obtained using an iPad Pro with a LiDAR sensor. Freely-available software programs, including 3D Forest Software and CloudCompare software, were used to determine tree diameter at breast height (DBH) and distance between trees. The 3D point cloud data obtained from the iPad Pro LiDAR sensor was able to estimate tree DBH accurately, with a residual error of 2.4 cm in an urban forest stand and 1.9 cm in an actively managed experimental forest stand. Distances between trees also were accurately estimated, with mean residual errors of 0.21 m for urban forest, and 0.38 m for managed forest stand. This study demonstrates that it is possible to use a low-cost consumer tablet with a LiDAR sensor to accurately measure certain forest attributes, which could enable the crowdsourcing of urban and other forest tree DBH and density data because of its integration into existing Apple devices and ease of use

Evaluation of Riparian Tree Cover and Shading in the Chauga River Watershed Using LiDAR and Deep Learning Land Cover Classification

River systems face negative impacts from development and removal of riparian vegetation that provide critical shading in the face of climate change. This study used supervised deep learning to accurately classify the land cover, including shading, of the Chauga River watershed, located in Oconee County, South Carolina, for 2011 and 2019. The study examined the land cover differences along the Chauga River and its tributaries, inside and outside the Sumter National Forest. LiDAR data were incorporated in solar radiation calculations for the Chauga River inside and outside the National Forest. The deep learning classifications produced land cover maps with high overall accuracy (97.09% for 2011; 97.58% for 2019). The most significant difference in land cover was in tree cover in the 50 m buffer of the tributaries inside the National Forest compared to the tributaries outside the National Forest (2011: 95.39% vs. 81.84%, 2019: 92.86% vs. 82.06%). The solar radiation calculations also confirmed a difference between the area inside and outside the National Forest, with the mean temperature being greater outside the protected area (outside: 455.845 WH/m2; inside: 416,770 WH/m2). This study suggests that anthropogenic influence in the Chauga River watershed is greater in the areas outside the Sumter National Forest, which could cause damage to the river ecosystem if left unchecked in the future as development pressures increase. This study demonstrates the accurate application of deep learning for high-resolution classification of river shading combined with the use of LiDAR data to estimate solar radiation reaching the Chauga River. Techniques to monitor riparian zones and shading at high spatial resolutions are critical for the mitigation of the negative impacts of warming climates on aquatic ecosystems

Прогнозное моделирование межэтнических отношений в российских регионах на основе анализа идентификационных стратегий диаспорных и земляческих групп

В статье исследуется стратегическое взаимодействие социально-этнических групп в регионах полиэтнической России. Установлено, что диаспоры и землячества, наряду с остальным местным населением, являются активными субъектами (акторами) региональных социумов и существенно влияют на все стороны жизни в регионах. Сложная структура взаимоотношений разных акторов, характеризующихся многомерной идентификацией, определяет социально-идентификационные особенности конкретного региона, но при этом и определяется ими. Поэтому адаптация и интеграция мигрантов, диаспор и землячеств в региональных социумах — двусторонний процесс, включающий экстериоризацию ценностных ориентиров, норм и правил региональных и местных сообществ с учетом интересов диаспорных и земляческих групп, с одной стороны, и интериоризацию этих ориентиров, норм и правил в диаспорах и землячествах — с другой, на основе общероссийской идентификации. Исследо-вание такого двустороннего процесса осуществлено на основе разработки социокультурных этнических моделей: примордиалистской, конструктивистской и инструменталистской. Определено соотношение выявленных идентификационных стратегий, их роли в оптимизации этно-групповой и социально-территориальной идентичности в контексте общероссийской национальной безопасности

Toxic properties and allelopathic activity of Melilotus officinalis (L.) Pall.

Melilotus officinalis (L.) Pall., known as yellow sweetclover (Fabaceae), is widely used in medicine and agriculture. At the same time, yellow sweetclover is a weed and invasive plant in Siberia. In Russia, M. officinalis is cultivated as a valuable medicinal, fodder and honey plant. Its widespread use is due to its high ecological plasticity. In recent years, an interest in cultivation of M. officinalis as a low maintenance multipurpose crop has increased in biological agriculture. The herb M. officinalis contains a rich complex of biologically active compounds. However, along with positive properties, this species, though with a rich chemical composition and high physiological activity, is toxic towards different groups of living organisms. The toxic effect of M. officinalis extracts is primarily due to the presence of coumarin. A high allelopathic activity of M. officinalis was revealed. The phytotoxic effect of herb extracts on germination of crop and weed seeds was studied in detail. Data on the fungicidal and insecticidal activity of M. officinalis were obtained. Laboratory and in situ studies showed that the aboveground part of M. officinalis is a potential source of biopesticides with a broad-spectrum effect (bioherbicidal, insecticidal and fungicidal)

Climate Change Planning: Soil Carbon Regulating Ecosystem Services and Land Cover Change Analysis to Inform Disclosures for the State of Rhode Island, USA

The state of Rhode Island (RI) has established its greenhouse gas (GHG) emissions reduction goals, which require rapidly acquired and updatable science-based data to make these goals enforceable and effective. The combination of remote sensing and soil information data can estimate the past and model future GHG emissions because of conversion of “low disturbance” land covers (e.g., evergreen forest, hay/pasture) to “high disturbance” land covers (e.g., low-, medium-, and high-intensity developed land). These modeled future emissions can be used as a predevelopment potential GHG emissions information disclosure. This study demonstrates the rapid assessment of the value of regulating ecosystems services (ES) from soil organic carbon (SOC), soil inorganic carbon (SIC), and total soil carbon (TSC) stocks, based on the concept of the avoided social cost of carbon dioxide (CO2) emissions for RI by soil order and county using remote sensing and information from the State Soil Geographic (STATSGO) and Soil Survey Geographic Database (SSURGO) databases. Classified land cover data for 2001 and 2016 were downloaded from the Multi-Resolution Land Characteristics Consortium (MRLC) website. Obtained results provide accurate and quantitative spatio-temporal information about likely GHG emissions and show their patterns which are often associated with existing urban developments. These remote sensing tools could be used by the state of RI to both understand the nature of land cover change and likely GHG emissions from soil and to institute mandatory or voluntary predevelopment assessments and potential GHG emissions disclosures as a part of a climate mitigation policy

Quantifying Damages to Soil Health and Emissions from Land Development in the State of Illinois (USA)

The concept of soil health is increasingly being used as an indicator for sustainable soil management and even includes legislative actions. Current applications of soil health often lack geospatial and monetary analyses of damages (e.g., land development), which can degrade soil health through loss of carbon (C) and productive soils. This study aims to evaluate the damages to soil health (e.g., soil C, the primary soil health indicator) attributed to land developments within the state of Illinois (IL) in the United States of America (USA). All land developments in IL can be associated with damages to soil health, with 13,361.0 km2 developed, resulting in midpoint losses of 2.5 × 1011 of total soil carbon (TSC) and a midpoint social cost of carbon dioxide emissions (SC-CO2) of $41.8B (where B = billion = 109, USD). More recently developed land area (721.8 km2) between 2001 and 2016 likely caused the midpoint loss of 1.6 × 1010 kg of TSC and a corresponding midpoint of$2.7B in SC-CO2. New developments occurred adjacent to current urban areas near the capital cities of Springfield, Chicago, and St. Louis (the border city between the states of Missouri and IL). Results of this study reveal several types of damage to soil health from developments: soil C loss, associated “realized” soil C social costs (SC-CO2), and loss of soil C sequestration potential from developments. The innovation of this study has several aspects. Geospatial analysis of land cover combined with corresponding soil types can identify changes in the soil health continuum at the landscape level. Because soil C is a primary soil health indicator, land conversions caused by developments reduce soil health and the availability of productive soils for agriculture, forestry, and C sequestration. Current IL soil health legislation can benefit from this landscape level data on soil C loss with GHG emissions and associated SC-CO2 costs by providing insight into the soil health continuum and its dynamics. These techniques and data can also be used to expand IL’s GHG emissions reduction efforts from being solely focused on the energy sector to include soil-based emissions from developments. Current soil health legislation does not recognize that soil’s health is harmed by disturbance from land developments and that this disturbance results in GHG emissions. Soil health programs could be broadened to encourage less disturbance of soil types that release high levels of GHG and set binding targets based on losses in the soil health continuum

Vitamin D binding protein polymorphysm in patients with acute coronary syndrome in kaliningrad region

BACKGROUND: Vitamin D binding protein is a main vitamin D carrier in serum. It also has an impact on macrophagial function. Role of vitamin D and macrophages in the pathogenesis of atherosclerosis is scientifically proven but there is lack of data on vitamin D binding protein in this regard. AIMS: To evaluate the vitamin D binding protein polymorphism in patients with acute coronary syndrome without diabetes mellitus, autoimmune diseases and malignant tumors. Determine correlation, if there is, between vitamin D binding protein allele and features of acute coronary syndrome among this patient group. MATERIALS AND METHODS: It is a cross-sectional observational study. Study subjects are patients with acute coronary syndrome. Exclusion criteria are the presence of diabetes mellitus, autoimmune diseases and malignant tumors. In all participants were evaluated: predisposing factors for heart diseases, CBC, biochemical blood test, troponin, coronarography, echocardiography. The study lasted for 5 months from November 2017 until March 2018. Primary end point – assessment of vitamin D binding protein polymorphysm in this group of patients with acute coronary syndrome by means of vitamin D binding protein gene sequencing. 50 patients were enrolled into this study who were urgently admitted to hospital and diagnosed with acute coronary syndrome. Among them – 36 males and 14 females. Mean age was 60 (55;66) years. All participants were sequenced for single nucleotide polymorphysm in VDBP p.T436K (rs4588) and P.432E (rs7041). RESULTS: Gene polymorphysms of interest were found in 43 patients among 50 enrolled. Haplotype Gc1s/2 (rs7041G-rs4588A) was found in 7 (14%) patients, Gc2 (rs7041T-rs4588A) — in 9 (18%) patients, Gc1s (rs7041G-rs4588C) – in 20 (40%) patients, Gc1f (rs7041T-rs4588C) in 14 (28%). Coronarography showed that coronary artery occlusions obstructing more than 50% of vessel lumen was found in 16 patients; obstruction greater than 90% was seen in 8 patients; total occlusion – in 4 patients. CONCLUSIONS: In patient group with acute coronary syndrome prevalence of vitamin D binding protein gene polymorphysm was high – in 86% of participants. The features of Gc2 haplotype were higher frequency of recurrent myocardial infarction and total coronary artery occlusion, as well as tendency to decreased serum vitamin D3 (25(OH)D) levels

Ultrathin compound semiconductor on insulator layers for high performance nanoscale transistors

Over the past several years, the inherent scaling limitations of electron devices have fueled the exploration of high carrier mobility semiconductors as a Si replacement to further enhance the device performance. In particular, compound semiconductors heterogeneously integrated on Si substrates have been actively studied, combining the high mobility of III-V semiconductors and the well-established, low cost processing of Si technology. This integration, however, presents significant challenges. Conventionally, heteroepitaxial growth of complex multilayers on Si has been explored. Besides complexity, high defect densities and junction leakage currents present limitations in the approach. Motivated by this challenge, here we utilize an epitaxial transfer method for the integration of ultrathin layers of single-crystalline InAs on Si/SiO2 substrates. As a parallel to silicon-on-insulator (SOI) technology14,we use the abbreviation "XOI" to represent our compound semiconductor-on-insulator platform. Through experiments and simulation, the electrical properties of InAs XOI transistors are explored, elucidating the critical role of quantum confinement in the transport properties of ultrathin XOI layers. Importantly, a high quality InAs/dielectric interface is obtained by the use of a novel thermally grown interfacial InAsOx layer (~1 nm thick). The fabricated FETs exhibit an impressive peak transconductance of ~1.6 mS/{\mu}m at VDS=0.5V with ON/OFF current ratio of greater than 10,000 and a subthreshold swing of 107-150 mV/decade for a channel length of ~0.5 {\mu}m

Метилмалоновая ацидурия у детей: клинические рекомендации

Methylmalonic acidemia (aciduria) is an inherited metabolic disturbance from the group of organic acidemias (acidurias). The article presents etiopathogenetic, epidemiological, diagnostic, and therapeutic aspects of the problem. The possibilities of laboratory and instrumental diagnostic methods the tactics of dietary correction of metabolic disorders in acute and interstitial periods of the disease are described in details; features of drug treatment are outlined. The necessary information for clinical practice and patients’ everyday life is given in the article.Метилмалоновая ацидемия (ацидурия) — генетически гетерогенное наследственное заболевание группы органических ацидемий (ацидурий). В статье представлены этиопатогенетические, эпидемиологические, диагностические и терапевтические аспекты данной проблемы. Подробно освещены возможности лабораторных и инструментальных методов диагностики и особенности медикаментозного лечения, изложена тактика диетической коррекции метаболических нарушений в острый и межприступный периоды заболевания. Дана необходимая информация для практических врачей и родителей пациентов

Teaching Field Data Crowdsourcing Using a GPS-Enabled Cellphone Application: Soil Erosion by Water as a Case Study

Crowdsourcing is an important tool for collecting spatio-temporal data, which has various applications in education. The objectives of this study were to develop and test a laboratory exercise on soil erosion by water and field data crowdsourcing in an online introductory soil science course (FNR 2040: Soil Information Systems) at Clemson University. Students from different STEM disciplines (wildlife biology, forestry, and environmental and natural resources) participated in the study in the fall of 2021. They completed a sequence of self-contained digital teaching modules or reusable learning objects (RLOs), which are often used in online learning. The exercise included a field exercise and learning module to teach students about different types of water-based soil erosion as well as field data collection and crowdsourcing tools. As a result of this exercise, student familiarity with crowdsourcing was effectively increased, as shown by the post-assessment survey with a +31.2% increase in the “moderately familiar” category and a +28.3% increase in the “extremely familiar” category. The online quiz contained ten questions and was taken by 56 students with an average score of 9.5 (out of 10). A post-assessment survey found that most of the students indicated that the laboratory was an effective learning experience about field data crowdsourcing using a GPS-enabled cellphone application. Detailed students’ comments indicated enjoyment of learning (e.g., data collection, learning about different technologies), the value of multimedia (e.g., ArcGIS Survey123, cellphone), the flexibility of learning (e.g., field work), the content applicability (e.g., actual field examples of erosion by water), and criticism (e.g., technical issues). A word cloud derived from students’ comments about their laboratory exercise experience indicated the most frequent words used by students, such as “erosion”, “enjoyed”, and “different”, among others. Incorporating a learning module and field exercise using modern data collection technology into an undergraduate soil science education course enabled students to understand the value and methods for leveraging cellphone-based field collection methods to crowdsource data for environmental assessment. Practical recommendations for planning and executing future crowdsourcing exercises were developed using the current study as an example