84 research outputs found
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
ΠΡΠΎΠ³Π½ΠΎΠ·Π½ΠΎΠ΅ ΠΌΠΎΠ΄Π΅Π»ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΠΌΠ΅ΠΆΡΡΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΉ Π² ΡΠΎΡΡΠΈΠΉΡΠΊΠΈΡ ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ Π°Π½Π°Π»ΠΈΠ·Π° ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΉ Π΄ΠΈΠ°ΡΠΏΠΎΡΠ½ΡΡ ΠΈ Π·Π΅ΠΌΠ»ΡΡΠ΅ΡΠΊΠΈΡ Π³ΡΡΠΏΠΏ
Π ΡΡΠ°ΡΡΠ΅ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΡΡΡ ΡΡΡΠ°ΡΠ΅Π³ΠΈΡΠ΅ΡΠΊΠΎΠ΅ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠ΅ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΡΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
Π³ΡΡΠΏΠΏ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
ΠΏΠΎΠ»ΠΈΡΡΠ½ΠΈΡΠ΅ΡΠΊΠΎΠΉ Π ΠΎΡΡΠΈΠΈ. Π£ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΎ, ΡΡΠΎ Π΄ΠΈΠ°ΡΠΏΠΎΡΡ ΠΈ Π·Π΅ΠΌΠ»ΡΡΠ΅ΡΡΠ²Π°, Π½Π°ΡΡΠ΄Ρ Ρ ΠΎΡΡΠ°Π»ΡΠ½ΡΠΌ ΠΌΠ΅ΡΡΠ½ΡΠΌ Π½Π°ΡΠ΅Π»Π΅Π½ΠΈΠ΅ΠΌ, ΡΠ²Π»ΡΡΡΡΡ Π°ΠΊΡΠΈΠ²Π½ΡΠΌΠΈ ΡΡΠ±ΡΠ΅ΠΊΡΠ°ΠΌΠΈ (Π°ΠΊΡΠΎΡΠ°ΠΌΠΈ) ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΠΎΡΠΈΡΠΌΠΎΠ² ΠΈ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ Π²Π»ΠΈΡΡΡ Π½Π° Π²ΡΠ΅ ΡΡΠΎΡΠΎΠ½Ρ ΠΆΠΈΠ·Π½ΠΈ Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Ρ
. Π‘Π»ΠΎΠΆΠ½Π°Ρ ΡΡΡΡΠΊΡΡΡΠ° Π²Π·Π°ΠΈΠΌΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠΉ ΡΠ°Π·Π½ΡΡ
Π°ΠΊΡΠΎΡΠΎΠ², Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΠ·ΡΡΡΠΈΡ
ΡΡ ΠΌΠ½ΠΎΠ³ΠΎΠΌΠ΅ΡΠ½ΠΎΠΉ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠ΅ΠΉ, ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ΅Ρ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ ΠΊΠΎΠ½ΠΊΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΠ΅Π³ΠΈΠΎΠ½Π°, Π½ΠΎ ΠΏΡΠΈ ΡΡΠΎΠΌ ΠΈ ΠΎΠΏΡΠ΅Π΄Π΅Π»ΡΠ΅ΡΡΡ ΠΈΠΌΠΈ. ΠΠΎΡΡΠΎΠΌΡ Π°Π΄Π°ΠΏΡΠ°ΡΠΈΡ ΠΈ ΠΈΠ½ΡΠ΅Π³ΡΠ°ΡΠΈΡ ΠΌΠΈΠ³ΡΠ°Π½ΡΠΎΠ², Π΄ΠΈΠ°ΡΠΏΠΎΡ ΠΈ Π·Π΅ΠΌΠ»ΡΡΠ΅ΡΡΠ² Π² ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΡΠΎΡΠΈΡΠΌΠ°Ρ
β Π΄Π²ΡΡΡΠΎΡΠΎΠ½Π½ΠΈΠΉ ΠΏΡΠΎΡΠ΅ΡΡ, Π²ΠΊΠ»ΡΡΠ°ΡΡΠΈΠΉ ΡΠΊΡΡΠ΅ΡΠΈΠΎΡΠΈΠ·Π°ΡΠΈΡ ΡΠ΅Π½Π½ΠΎΡΡΠ½ΡΡ
ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ², Π½ΠΎΡΠΌ ΠΈ ΠΏΡΠ°Π²ΠΈΠ» ΡΠ΅Π³ΠΈΠΎΠ½Π°Π»ΡΠ½ΡΡ
ΠΈ ΠΌΠ΅ΡΡΠ½ΡΡ
ΡΠΎΠΎΠ±ΡΠ΅ΡΡΠ² Ρ ΡΡΠ΅ΡΠΎΠΌ ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠΎΠ² Π΄ΠΈΠ°ΡΠΏΠΎΡΠ½ΡΡ
ΠΈ Π·Π΅ΠΌΠ»ΡΡΠ΅ΡΠΊΠΈΡ
Π³ΡΡΠΏΠΏ, Ρ ΠΎΠ΄Π½ΠΎΠΉ ΡΡΠΎΡΠΎΠ½Ρ, ΠΈ ΠΈΠ½ΡΠ΅ΡΠΈΠΎΡΠΈΠ·Π°ΡΠΈΡ ΡΡΠΈΡ
ΠΎΡΠΈΠ΅Π½ΡΠΈΡΠΎΠ², Π½ΠΎΡΠΌ ΠΈ ΠΏΡΠ°Π²ΠΈΠ» Π² Π΄ΠΈΠ°ΡΠΏΠΎΡΠ°Ρ
ΠΈ Π·Π΅ΠΌΠ»ΡΡΠ΅ΡΡΠ²Π°Ρ
β Ρ Π΄ΡΡΠ³ΠΎΠΉ, Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΠΎΠ±ΡΠ΅ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΈ. ΠΡΡΠ»Π΅Π΄ΠΎ-Π²Π°Π½ΠΈΠ΅ ΡΠ°ΠΊΠΎΠ³ΠΎ Π΄Π²ΡΡΡΠΎΡΠΎΠ½Π½Π΅Π³ΠΎ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΎΡΡΡΠ΅ΡΡΠ²Π»Π΅Π½ΠΎ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΠ°Π·ΡΠ°Π±ΠΎΡΠΊΠΈ ΡΠΎΡΠΈΠΎΠΊΡΠ»ΡΡΡΡΠ½ΡΡ
ΡΡΠ½ΠΈΡΠ΅ΡΠΊΠΈΡ
ΠΌΠΎΠ΄Π΅Π»Π΅ΠΉ: ΠΏΡΠΈΠΌΠΎΡΠ΄ΠΈΠ°Π»ΠΈΡΡΡΠΊΠΎΠΉ, ΠΊΠΎΠ½ΡΡΡΡΠΊΡΠΈΠ²ΠΈΡΡΡΠΊΠΎΠΉ ΠΈ ΠΈΠ½ΡΡΡΡΠΌΠ΅Π½ΡΠ°Π»ΠΈΡΡΡΠΊΠΎΠΉ. ΠΠΏΡΠ΅Π΄Π΅Π»Π΅Π½ΠΎ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΠ΅ Π²ΡΡΠ²Π»Π΅Π½Π½ΡΡ
ΠΈΠ΄Π΅Π½ΡΠΈΡΠΈΠΊΠ°ΡΠΈΠΎΠ½Π½ΡΡ
ΡΡΡΠ°ΡΠ΅Π³ΠΈΠΉ, ΠΈΡ
ΡΠΎΠ»ΠΈ Π² ΠΎΠΏΡΠΈΠΌΠΈΠ·Π°ΡΠΈΠΈ ΡΡΠ½ΠΎ-Π³ΡΡΠΏΠΏΠΎΠ²ΠΎΠΉ ΠΈ ΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎ-ΡΠ΅ΡΡΠΈΡΠΎΡΠΈΠ°Π»ΡΠ½ΠΎΠΉ ΠΈΠ΄Π΅Π½ΡΠΈΡΠ½ΠΎΡΡΠΈ Π² ΠΊΠΎΠ½ΡΠ΅ΠΊΡΡΠ΅ ΠΎΠ±ΡΠ΅ΡΠΎΡΡΠΈΠΉΡΠΊΠΎΠΉ Π½Π°ΡΠΈΠΎΠ½Π°Π»ΡΠ½ΠΎΠΉ Π±Π΅Π·ΠΎΠΏΠ°ΡΠ½ΠΎΡΡΠΈ
Spatiotemporal Analysis of Soil Quality Degradation and Emissions in the State of Iowa (USA)
The concept of soil quality (SQ) is defined as the soil\u27s capacity to function, which is commonly assessed at the field scale. Soil quality is composed of inherent (soil suitability) and dynamic (soil health, SH) SQ, which can also be analyzed using geospatial tools as a SQ continuum (SQC). This study proposes an innovative spatiotemporal analysis of SQ degradation and emissions from land developments using the state of Iowa (IA) in the United States of America (USA) as a case study. The SQ degradation was linked to anthropogenic soil (SD) and land degradation (LD) in the state. More than 88% of land in IA experienced anthropogenic LD primarily due to agriculture (93%). All six soil orders were subject to various degrees of anthropogenic LD: Entisols (75%), Inceptisols (94%), Histosols (59%), Alfisols (79%), Mollisols (93%), and Vertisols (98%). Soil and LD have primarily increased between 2001 and 2016. In addition to agricultural LD, there was also SD/LD caused by an increase in developments often through urbanization. All land developments in IA can be linked to damages to SQ, with 8385.9 km2 of developed area, causing midpoint total soil carbon (TSC) losses of 1.7 Γ 1011 kg of C and an associated midpoint of social cost of carbon dioxide emissions (SC-CO2) of 1.3B in SC-CO2. New developments are often located near urban areas, for example, near the capital city of Des Moines, and other cities (Sioux City, Dubuque). Results of this study reveal several different kinds of SQ damage from developments: loss of potential for future C sequestration in soils, soil C loss, and βrealizedβ soil C social costs (SC-CO2). The state of IA has very limited potential land (2.0% of the total state area) for nature-based solutions (NBS) to compensate for SD and LD. The results of this study can be used to support pending soil health-related legislation in IA and monitoring towards achieving the Sustainable Development Goals (SDGs) developed by the United Nations (UN) by providing a landscape-level perspective on LD to focus field-level initiatives to reduce soil loss and improve SQ. Future technological innovations will provide higher spatial and temporal remote sensing data that can be fused with field-level direct sensing to track SH and SQ changes
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 βlow disturbanceβ land covers (e.g., evergreen forest, hay/pasture) to βhigh disturbanceβ 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 Γ 1011 of total soil carbon (TSC) and a midpoint social cost of carbon dioxide emissions (SC-CO2) 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 βrealizedβ 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 ILβs 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 soilβs 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
Treatment of atopic dermatitis with upadacitinib: adcare single center experience
IntroductionThe role of upadacitinib in the management of moderate to severe atopic dermatitis seems promising, but more data on its efficacy and safety are needed. This study endeavors to assess the practical impact and safety of upadacitinib in patients with moderate to severe atopic dermatitis. The study aims to evaluate the efficacy and safety of upadacitinib in the treatment of moderate to severe atopic dermatitis, focusing on analyzing patient responses to the treatment.MethodsIn this study, adult patients diagnosed with moderate to severe atopic dermatitis received upadacitinib at daily doses of 15 mg or 30 mg, as prescribed by their attending physicians. The therapeutic efficacy of upadacitinib was meticulously assessed using established clinical metrics. Simultaneously, a comprehensive safety assessment was conducted through monthly monitoring, including the evaluation of potential effects of upadacitinib intake on hepatic function, lipid profile, and hematopoiesis using the pertinent laboratory tests.ResultsSixteen participants were enrolled in the study. At 1month follow-up, there was a significant reduction in the mean Eczema Area and Severity Index (EASI) score to 18.8 points, which further increased to 24 points at the 4-month mark. Additionally, 9 participants (56%) demonstrated an EASI-50 response after 1 month of treatment, with this response increasing to 9 participants (90%) after 4 months. Furthermore, enhanced therapeutic responses were observed at 4 months, with 6 patients (38%) achieving an EASI-75 response at 1month and 8 patients (80%) achieving this milestone at the 4-month follow-up. This study highlights the potential of upadacitinib as an effective treatment option for moderate to severe atopic dermatitis. While it demonstrates improved symptom management, close monitoring for potential adverse events, particularly infections and the known risks of Janus kinase inhibitors, is essential. Further research is essential to determine the long-term safety and efficacy of upadacitinib
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