Multi-day evaluation of space domain awareness architectures via decision analysis and multi-objective optimization

The US Government is the world’s de facto provider of space object cataloging data, but it is challenged to maintain pace in an increasingly complex space environment. This work advances a multi-disciplinary approach to better understand and evaluate an underexplored solution recommended by national policy in which current collection capabilities are augmented with non-traditional sensors. System architecting techniques and extant literature identified likely needs, performance measures, and potential contributors to a conceptualized Augmented Network (AN). Multiple hypothetical architectures of ground- and space-based telescopes with representative capabilities were modeled and simulated on four separate days throughout the year, then evaluated against performance measures and constraints using Multi-Objective Optimization. Decision analysis and Pareto optimality identified a small, diverse set of high-performing architectures while preserving design flexibility. Should decision-makers adopt the AN approach, this research effort indicates (1) a threefold increase in average capacity, (2) a 55% improvement in coverage, and (3) a 2.5-h decrease in the average maximum time a space object goes unobserved.

What impacts have geographical locations on the cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India:-observational analysis in India - V2

Background: Curiosity and need are the major forces driving invention and discoveries. The covid-19 pandemic is said to be originated from Wuhan of Hubei province in china. This statement has raised many questions and doubts about origin and spread of disease and the controversy is still going on. The geographical location of Wuhan in relation to sea is of significant value in relation to covid-19 pandemic as observed in this research. The city of Wuhan is located on both banks of the Changjiang (the Great River, a.k.a the Yangtze River) about six hundred miles upstream from Shanghai and the Pacific Ocean. It is about four hundred miles upstream from Nanjing. Its location is supremely strategic, being where the Hanshui (Han River) joins the Changjiang. The Wuhan Huanan Seafood Wholesale Market was in news and highlighted by several media and news agency as probable source of origin of covid-19. The Huanan Seafood Market located in Wuhan is a live animal and seafood market in Jianghan District, Wuhan City, and the capital of Hubei Province in Central China. Objective: This continuous observational research analysis aimed to assess the impact of geographical locations particularly coastal influence on the total/average/maximum/minimum confirmed cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India, during COVID-19 pandemic from the beginning of pandemic cases in January 2020 in India with special focus on coastal states and union territories of India. The coast is also known popularly as the coastline or seashore is the area where land meets the sea or ocean, or as a line that forms the boundary between the land and the ocean. The term coastal state and union territories is used to refer to a state where interactions of sea and land of states occur. The study also aims to find safest geographical location in covid-19 pandemic.Methods: This is a novel cross-sectional mixed (quantitative and Qualitative) continuous observational research study. The information on the number of cases and deaths due to COVID-19 pandemic in 36 states and union territories of India is obtained from Health Department, Ministry of Health and Family Welfare (MoHFW), Government of India, and data were matched and analyzed from online websites as well. The impact of geographical locations on the total/average/maximum/minimum confirmed cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India was analyzed with Microsoft office and with more data collection stata 15.1 for windows (64bit) will be used when required with Microsoft office in next version-3 of article (for bigger analysis) for epidemiological comparison by calculating incidence, prevalence, mortality rate and other indicators. The study for global correlation of this research is also under process by the author. For the purpose of research India is divided into four geographical areas, 1 Coastal states and union territories (total ten in numbers), 2 Island groups (three in numbers), 3 north eastern states and east area i.e. Laddakh 4 other states and union territories having plain areas (14 in numbers).Results: The findings showed that total numbers of death from covid-19 is highest in coastal states and union territories with a count of 323674 since beginning of the pandemic whereas the islands group reported the lowest total 184 numbers of deaths from covid-19 as on 05 Jan 2022, 08:00 IST (GMT+5:30) . The average death from covid-19 is highest in coastal states and union territories group with a count of 32367.4 followed by other states and union territories group with a count of 10431.21429. The islands group reported the lowest average numbers of death from covid-19 with a count of 61.33. A similar trend was found for numbers of confirmed cases with coastal states on top having largest number of covid-19 cases. In this version 2 the prevalence rates are also calculated per 100000.Conclusions: The research observation found that coastal states and union territories of India have larger number of daily cases of COVID-19 and mortality 867 per 100000 as compared to other geographical locations of the country. The observation also found that islands have least number of cases and deaths 115 per 100000 due to covid-19 pandemic. This study also gives rise to hypothesis that coastal locations are at greater risk of covid-19 infection and mortality whereas islands are safest places in covid-19 pandemics.

What impacts have geographical locations on the cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India:-observational analysis in India – V2

Background: Curiosity and need are the major forces driving invention and discoveries. The covid-19 pandemic is said to be originated from Wuhan of Hubei province in china. This statement has raised many questions and doubts about origin and spread of disease and the controversy is still going on. The geographical location of Wuhan in relation to sea is of significant value in relation to covid-19 pandemic as observed in this research. The city of Wuhan is located on both banks of the Changjiang (the Great River, a.k.a the Yangtze River) about six hundred miles upstream from Shanghai and the Pacific Ocean. It is about four hundred miles upstream from Nanjing. Its location is supremely strategic, being where the Hanshui (Han River) joins the Changjiang. The Wuhan Huanan Seafood Wholesale Market was in news and highlighted by several media and news agency as probable source of origin of covid-19. The Huanan Seafood Market located in Wuhan is a live animal and seafood market in Jianghan District, Wuhan City, and the capital of Hubei Province in Central China. Objective: This continuous observational research analysis aimed to assess the impact of geographical locations particularly coastal influence on the total/average/maximum/minimum confirmed cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India, during COVID-19 pandemic from the beginning of pandemic cases in January 2020 in India with special focus on coastal states and union territories of India. The coast is also known popularly as the coastline or seashore is the area where land meets the sea or ocean, or as a line that forms the boundary between the land and the ocean. The term coastal state and union territories is used to refer to a state where interactions of sea and land of states occur. The study also aims to find safest geographical location in covid-19 pandemic.Methods: This is a novel cross-sectional mixed (quantitative and Qualitative) continuous observational research study. The information on the number of cases and deaths due to COVID-19 pandemic in 36 states and union territories of India is obtained from Health Department, Ministry of Health and Family Welfare (MoHFW), Government of India, and data were matched and analyzed from online websites as well. The impact of geographical locations on the total/average/maximum/minimum confirmed cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India was analyzed with Microsoft office and with more data collection stata 15.1 for windows (64bit) will be used when required with Microsoft office in next version-3 of article (for bigger analysis) for epidemiological comparison by calculating incidence, prevalence, mortality rate and other indicators. The study for global correlation of this research is also under process by the author. For the purpose of research India is divided into four geographical areas, 1 Coastal states and union territories (total ten in numbers), 2 Island groups (three in numbers), 3 north eastern states and east area i.e. Laddakh 4 other states and union territories having plain areas (14 in numbers).Results: The findings showed that total numbers of death from covid-19 is highest in coastal states and union territories with a count of 323674 since beginning of the pandemic whereas the islands group reported the lowest total 184 numbers of deaths from covid-19 as on 05 Jan 2022, 08:00 IST (GMT+5:30) . The average death from covid-19 is highest in coastal states and union territories group with a count of 32367.4 followed by other states and union territories group with a count of 10431.21429. The islands group reported the lowest average numbers of death from covid-19 with a count of 61.33. A similar trend was found for numbers of confirmed cases with coastal states on top having largest number of covid-19 cases. In this version 2 the prevalence rates are also calculated per 100000.Conclusions: The research observation found that coastal states and union territories of India have larger number of daily cases of COVID-19 and mortality 867 per 100000 as compared to other geographical locations of the country. The observation also found that islands have least number of cases and deaths 115 per 100000 due to covid-19 pandemic. This study also gives rise to hypothesis that coastal locations are at greater risk of covid-19 infection and mortality whereas islands are safest places in covid-19 pandemics.Keywords: coastal states, COVID 19, Mortality, confirmed cases, union territories, geographical impact,

Influence of coracoglenoid space on scapular neck fracture stability: biomechanical study

Background The anatomical variation of the coracoglenoid space has the potential to influence the stability of scapular neck fractures. This paper aimed to investigate the mechanical mechanism underlying the influence of different coracoglenoid space types on scapular neck fractures by morphometric analysis and biomechanical experiments. Methods The morphology of 68 dried scapulae (left: 36; right: 32) was studied. Two variables, the length of the coracoglenoid distance (CGD) and the coracoglenoid notch (CGN), were measured. The distribution of CGN/CGD × 100% was used to identify the morphology of the coracoglenoid space. Each specimen was tested for failure under static axial compression loading. The average failure load, stiffness, and energy were calculated. Results Two coracoglenoid space types were identified. The incidence of Type I (‘‘hook’’ shape) was 53%, and that of Type II (‘‘square bracket’’ shape) was 47%. The CGD and CGN were significantly higher for type I than type II (13.81 ± 0.74 mm vs. 11.50 ± 1.03 mm, P < 0.05; 4.74 ± 0.45 mm vs. 2.61 ± 0.45 mm, P < 0.05). The average maximum failure load of the two types was 1270.82 ± 318.85 N and 1529.18 ± 467.29 N, respectively (P = 0.011). The stiffness and energy were significantly higher for type II than type I (896.75 ± 281.14 N/mm vs. 692.91 ± 217.95 N/mm, P = 0.001; 2100.38 ± 649.54 N × mm vs. 1712.71 ± 626.02 N × mm, P = 0.015). Conclusions There was great interindividual variation in the anatomical morphology of the coracoglenoid space. Type I (hook-like) spaces bore lower forces, were less stiff, and bore less energy, which may constitute an anatomical predisposition to scapular neck fractures.

What Impacts Have Geographical Locations On The Cases And Deaths From Covid-19/ Sars-Cov-2 Pandemic In 36 States And Union Territories Of India:-Observational Analysis In India

Background: Curiosity and need are the major forces driving invention and discoveries. The covid-19 said to originated from Wuhan of Hubei province in china have raised so many questions and doubts about origin and spread of disease and the controversy is still going on. The geographical location of Wuhan in relation to sea is of significant value in relation to covid-19 pandemic as observed in this research. The city of Wuhan is located on both banks of the Changjiang (the Great River, a.k.a the Yangtze River) about six hundred miles upstream from Shanghai and the Pacific Ocean. It is about four hundred miles upstream from Nanjing. Its location is supremely strategic, being where the Hanshui (Han River) joins the Changjiang. The Wuhan Huanan Seafood Wholesale Market was in news and highlighted by several media and news agency as probable source of origin of covid-19. The Huanan Seafood Market located in Wuhan was a live animal and seafood market in Jianghan District, Wuhan City, and the capital of Hubei Province in Central China. My research aimed to assess the impact of geographical locations particularly coastal influence on the total/average/maximum/minimum confirmed cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India, during COVID-19 pandemic from the beginning of pandemic cases in January 2020 in India with special focus on coastal states and union territories of India. The coast is also known popularly as the coastline or seashore is the area where land meets the sea or ocean, or as a line that forms the boundary between the land and the ocean. The term coastal state and union territories is used to refer to a state where interactions of sea and land of states occur. The study also aims to find safest geographical location in covid-19 pandemic. Methods: The information on the number of cases and deaths due to COVID-19 pandemic in 36 states and union territories of India was obtained from Health Department, Ministry of Health and Family Welfare (MoHFW), Government of India, and data were matched and analyzed from online websites as well. The impact of geographical locations on the total/average/maximum/ minimum confirmed cases and deaths from COVID-19/SARS-CoV-2 pandemic in 36 states and union territories of India was analyzed with Microsoft office and stata 15.1 for windows (64bit) will be used with Microsoft office in next version-2 of article for epidemiological comparison by calculating incidence, prevalence, mortality rate and other indicators. The study for global correlation of this research is also under process by the author. For the purpose of research India is divided into four geographical areas, 1 Coastal states and union territories (total ten in numbers), 2 Island groups (three in numbers), 3 north eastern states and east area i.e. Laddakh 4 other states and union territories having plain areas (14 in numbers). Results: The findings showed that total numbers of death from covid-19 is highest in coastal states and union territories with a count of 240628 since beginning of the pandemic whereas the islands group reported the lowest total numbers of death from covid-19. The average death from covid-19 is highest in coastal states and union territories group with a count of 24062.8 followed by other states and union territories group with a count of 9754.07. The islands group reported the lowest average numbers of death from covid-19 with a count of 58.67. A similar trend was found for numbers of confirmed cases with coastal states on top having largest number of covid-19 cases. Conclusions: The research observation found that coastal states and union territories of India have larger number of daily cases of COVID-19 and mortality as compared to other geographical locations of the country. The observation also found that islands have least number of cases and deaths due to covid-19 pandemic. This study also gives rise to hypothesis that coastal locations are at greater risk of covid-19 infection and mortality whereas islands are safe places in covid-19 pandemics.

Observational Constraints on the Maximum Energies of Accelerated Particles in Supernova Remnants: Low Maximum Energies and a Large Variety

Supernova remnants (SNRs) are thought to be the most promising sources of Galactic cosmic rays. One of the principal questions is whether they are accelerating particles up to the maximum energy of Galactic cosmic rays (∼PeV). In this work, a systematic study of gamma-ray-emitting SNRs is conducted as an advanced study of Suzuki et al. Our purpose is to newly measure the evolution of maximum particle energies with increased statistics and better age estimates. We model their gamma-ray spectra to constrain the particle-acceleration parameters. Two candidates of the maximum energy of freshly accelerated particles, the gamma-ray cutoff and break energies, are found to be well below PeV. We also test a spectral model that includes both the freshly accelerated and escaping particles to estimate the maximum energies more reliably, but no tighter constraints are obtained with current statistics. The average time dependences of the cutoff energy (∝t −0.81±0.24) and break energy (∝t −0.77±0.23) cannot be explained with the simplest acceleration condition (Bohm limit) and require shock–ISM (interstellar medium) interaction. The average maximum energy during lifetime is found to be ≲20 TeV ( t M / 1 kyr ) − 0.8 with t M being the age at the maximum, which reaches PeV if t M ≲ 10 yr. The maximum energies during lifetime are suggested to have a variety of 1.1–1.8 dex from object to object. Although we cannot isolate the cause of this variety, this work provides an important clue to understanding the microphysics of particle acceleration in SNRs.

Monitoring Population Phenology of Asian Citrus Psyllid Using Deep Learning

Asian citrus psyllid, Diaphorina citri Kuwayama (Liviidae: Hemiptera) is a menacing and notorious pest of citrus plants. It vectors a phloem vessel-dwelling bacterium Candidatus Liberibacter asiaticus, which is a causative pathogen of the serious citrus disease known as Huanglongbing. Huanglongbing disease is a major bottleneck in the export of citrus fruits from Pakistan. It is being responsible for huge citrus economic losses globally. In the current study, several prediction models were developed based on regression algorithms of machine learning to monitor different phenological stages of Asian citrus psyllid to predict its population about different abiotic variables (average maximum temperature, average minimum temperature, average weekly temperature, average weekly relative humidity, and average weekly rainfall) and biotic variable (host plant phenological patterns) in citrus-growing regions of Pakistan. The pest prediction models can be used for proper applications of pesticides only when needed for reducing the environmental and cost impacts of pesticides. Pearson’s correlation analysis was performed to find the relationship between different predictor (abiotic and biotic) variables and pest infestation rate on citrus plants. Multiple linear regression, random forest regressor, and deep neural network approaches were compared to predict population dynamics of Asian citrus psyllid. In comparison with other regression techniques, a deep neural network-based prediction model resulted in the least root mean squared error values while predicting egg, nymph, and adult populations.

Combining Organic Fertilizer With Controlled-Release Urea to Reduce Nitrogen Leaching and Promote Wheat Yields

Soil deterioration, low nitrogen use efficiency (NUE), and environmental risks caused by excessive chemical N fertilizer use are key factors restricting sustainable agriculture. It is extremely critical to develop effective N management strategies that consider both environmental and agronomic benefits. From 2017 to 2019, a field experiment was conducted to assess the effects of combinations of organic fertilizers (OF, provided at 30, 50, and 70% of the total applied N) and controlled-release urea (CU) on the NUE, N leaching and wheat yield compared with the effects of urea and CU. The results suggested that OF released N slowly in the early stage and showed a significant residual effect, while CU released N quickly in the first 2 months. The OF substitutes with 30–50% CU increased wheat yield by 4.2–9.2%, while the 70%OF+30%CU treatment showed no significant difference relative to the urea treatment. The average maximum apparent NUE recovery (50.4%) was achieved under the 50%OF+50%CU treatment, but the partial factor productivity was not affected by the N type. As the OF application rate increased, the total carbon content increased, and the total N value decreased. The NO3−-N and NH4+-N concentrations in the OF+CU treatments were lower before the jointing stage but higher from the grain-filling to mature stages than those in the urea treatment. NO3−-N and NH4+-N were mainly concentrated in the 0–60-cm layer soil by OF substitution, and N leaching to the 60–100-cm soil layer was significantly reduced. Hence, the results suggest that the combination of 30–50% OF with CU synchronizes absorption with availability due to a period of increased N availability in soils and proved to be the best strategy for simultaneously increasing wheat production and reducing N leaching.

Comparative study of objective and subjective parameters of accommodation in children with myopia

AIM: The study aims to compare the results of objective parameters such as autorefractometers of the open field Grand Seiko and closed field TONOREF III. and the subjective parameters such as the positive of relative accommodation (PRA) and the amplitude of accommodation (AA). MATERIAL AND METHODS: 30 children (60 eyes) with low and moderate myopia (on average -2.96 0.17 D) aged from 8 to 12 years (on average 10.04 0.24 years) were examined. Subjective (PRA, AA) and objective parameters of binocular adaptation (BAO) and monocular adaptation (MAO) response on the Grand Seiko Binocular Open Field Autorefkeratometer WR - 5500K (Japan) and the AA on the automatic refractokeratotonometer pakhimetre TONOREF III (Nidek, Japan) were determined. RESULTS: The average of BAO and MAO at 33 cm was -1.93 0.04 D and 1.86 0.05 D, respectively. The average PRA was 1.5 0.16 D. The objectively measured average AA was 5.25 0.4 D. The average minimum AA value was -2.86 0.16 D, and the average maximum value was 8.11 0.46 D. The subjective AA on the Iksar device was on average 4.17 0.43 D; Amin, on average -3.77 0.26 D; Amax, on average was -7.94 0.59 D. CONCLUSION: The objective and subjective measurements of AA produced comparable results. BAO and MAO reflected other characteristics of accommodation, different from its amplitude, and characterized the adequacy of the accommodation response to a specific accommodation task. The advantage of objective accommodation is that it is independent of the patients responses and intellectual level.

Long Distance Seed Dispersal by Forest Elephants

By dispersing seeds long distances, large, fruit-eating animals influence plant population spread and community dynamics. After fruit consumption, animal gut passage time and movement determine seed dispersal patterns and distances. These, in turn, are influenced by extrinsic, environmental variables and intrinsic, individual-level variables. We simulated seed dispersal by forest elephants (Loxodonta cyclotis) by integrating gut passage data from wild elephants with movement data from 96 individuals. On average, elephants dispersed seeds 5.3 km, with 89% of seeds dispersed farther than 1 km. The longest simulated seed dispersal distance was 101 km, with an average maximum dispersal distance of 40.1 km. Seed dispersal distances varied among national parks, perhaps due to unmeasured environmental differences such as habitat heterogeneity and configuration, but not with human disturbance or habitat openness. On average, male elephants dispersed seeds farther than females. Elephant behavioral traits strongly influenced dispersal distances, with bold, exploratory elephants dispersing seeds 1.1 km farther than shy, idler elephants. Protection of forest elephants, particularly males and highly mobile, exploratory individuals, is critical to maintaining long distance seed dispersal services that shape plant communities and tropical forest habitat.