The Performance of the Robo-AO Laser Guide Star Adaptive Optics System at the Kitt Peak 2.1-m Telescope

Robo-AO is an autonomous laser guide star adaptive optics system recently commissioned at the Kitt Peak 2.1-m telescope. Now operating every clear night, Robo-AO at the 2.1-m telescope is the first dedicated adaptive optics observatory. This paper presents the imaging performance of the adaptive optics system in its first eighteen months of operations. For a median seeing value of $1.31^{\prime\prime}$, the average Strehl ratio is 4\% in the $i^\prime$ band and 29\% in the J band. After post-processing, the contrast ratio under sub-arcsecond seeing for a $2\leq i^{\prime} \leq 16$ primary star is five and seven magnitudes at radial offsets of $0.5^{\prime\prime}$ and $1.0^{\prime\prime}$, respectively. The data processing and archiving pipelines run automatically at the end of each night. The first stage of the processing pipeline shifts and adds the data using techniques alternately optimized for stars with high and low SNRs. The second "high contrast" stage of the pipeline is eponymously well suited to finding faint stellar companions.Comment: 12 pages, 16 figures, to be submitted to PAS

Development of the MOCI ADCS-01 Verification Test

The members of the Guidance and Navigation Control team (GNC), whose primary goal is to calculate the commands needed to steer the Cubesat where it is desired to be, determine the CubeSat\u27s orbital parameters such as the positions, and adjust the path of the CubeSat to meet mission requirements, will be conducting research at the University of Georgia Small Satellite Research Laboratory (SSRL). This research will be focused on helping test the Attitude Determination Control System (ADCS) of the Multiview Computational Onmoard Imager (MOCI) CubeSat, which is a system that is responsible for determining and maintaining the orientation of the CubeSat. According to the University Nanosatellite Program (UNP), which is the lab\u27s primary stakeholder, the purpose of the ADCS Verification Test, which is a test that ensures the CubeSat points in the desired nadir direction for capturing accurate images of specific areas such as coastal areas on the Earth\u27s surface. Under this ADCS verification test, there are eight requirement verification methods (RVM). The research examines the first verification test, ADCS-01. ADCS-01 is a verification test to verify that the Cubesat\u27s wheels moved at the requested speed and that it commanded the wheels to spin. ADCS-01 states that the reaction wheels shall be able to rotate fast enough to keep the maximum boresight error within 25% of the distance that makes up the primary imager\u27s field of view (FOV) nadir ground coverage

Multi-wavelength observations of afterglow of GRB 080319B and the modeling constraints

We present observations of the afterglow of GRB 080319B at optical, mm and radio frequencies from a few hours to 67 days after the burst. Present observations along with other published multi-wavelength data have been used to study the light-curves and spectral energy distributions of the burst afterglow. The nature of this brightest cosmic explosion has been explored based on the observed properties and it's comparison with the afterglow models. Our results show that the observed features of the afterglow fits equally good with the Inter Stellar Matter and the Stellar Wind density profiles of the circum-burst medium. In case of both density profiles, location of the maximum synchrotron frequency $\nu_m$ is below optical and the value of cooling break frequency $\nu_c$ is below $X-$rays, $\sim 10^{4}$s after the burst. Also, the derived value of the Lorentz factor at the time of naked eye brightness is $\sim 300$ with the corresponding blast wave size of $\sim 10^{18}$ cm. The numerical fit to the multi-wavelength afterglow data constraints the values of physical parameters and the emission mechanism of the burst.Comment: 8 Pages, 3 Figures, Accepted for publication to Astronomy and Astrophysics on 02/04/200

Securing Heterogeneous Privacy Protection in Social Network Records based Encryption Scheme

This survey places of interest the major issues concerning privacy and security in online social networks. Firstly, we discuss investigate that aims to protect user data from the an assortment of attack vantage points together with other users, advertisers, third party request developers, and the online social arrangement provider itself. Next we cover social network supposition of user attributes, locate hubs, and link prediction. Because online social networks are so saturated with sensitive information, network inference plays a major privacy role. Social Networking sites go upwards since of all these reasons. In recent years indicates that for many people they are now the mainstream communication knowledge. Social networking sites come under few of the most frequently browsed categories websites in the world. Nevertheless Social Networking sites are also vulnerable to various problems threats and attacks such as revelation of information, identity thefts etc. Privacy practice in social networking sites often appear convoluted as in sequence sharing stands in discord with the need to reduce disclosure-related abuses. Facebook is one such most popular and widely used Social Networking sites which have its own healthy set of Privacy policy

Design of reconfigurable antenna arrray for WLAN and WIMAX application

Organized by School of Mechatronic Engineering (UniMAP) & co-organized by The Institution of Engineering Malaysia (IEM), 11th - 13th October 2009 at Batu Feringhi, Penang, Malaysia.In this paper we have presented the use of reconfigurable microstrip patch antenna elements in adaptive arrays. The combination of both reconfigurability and adaptivity in a single array is investigated. As the different standards have different requirements and use different frequency bands mainly around 2.4GHz to 5 GHz, the RF circuits and antennas designed for each system must be able to work at different frequency bands. For this purpose dual-band inset-fed reconfigurable antenna is designed and RF-MEMS switches are being used to switch between different frequency bands.Technical sponsored by IEEE Malaysia Sectio

Role of Productive Sectors in Driving Socio-Economic Advancement: Identifying Critical Factors Using PLS-SEM

The study focused on various areas that have contributed towards Tamil Nadu's socio-economic enhancement. Partial Least Squares Structural Equation Modelling (PLS-SEM) has been used to determine the significant elements that influence social and economic advancement. The Reserve Bank of India's (RBI) Handbook of Statistics on Indian States is the basis of the socio-economic data for Tamil Nadu. As it gives permission for us to inspect the properties of several sectors, such as agriculture, power, as well as industry, and their contributions to the state gross domestic product, the data sourced for this study spans the years 1991 to 2021. The outcome of the research indicates that agriculture and industry play a pivotal role in boosting Tamil Nadu’s economy which also helps the state’s social progress. However, power sector is also a major contributor. These sectors when combined, helps shape the state’s overall progress. The output of this study helps policymakers to foresee those sectors that can be focused by the state to invite investments. Sectors like Agriculture, Industry, Power are key drivers of Tamil Nadu’s economy and social progress. Investments in these sectors will uplift the state’s socio-economic existing status and when strategically planned shall help Tamil Nadu achieve sustained socio-economic growth. The novelty of this study stems from application of PLS-SEM to long-term data that can provide valuable insights. It identifies critical sectors that contribute to the state’s development

The effect of substance uses on antiretroviral treatment adherence in primary health care

Background: Adherence to antiretroviral treatment (ART) is the primary factor determining how an individual responds to their treatment. Unfortunately, individuals who use substances experience suboptimal adherence to their treatment, but little is known about the exact effects of their use on ART adherence in primary health care settings. Methods: The authors used a prospective cohort study to evaluate substance use’s effects on ART adherence among people living with HIV (PLWH) who attend primary health care services in the Mthatha region of South Africa. Results: During the study period, 601 PLWH were followed up for 6 months. The participant’s mean age was 38.5 (standard deviation [s.d.] = 11) years, with a mean CD4 count of 491.7 (s.d. = 241). Suboptimal ART adherence and default rates were 20.2% and 9.3%, respectively. Among the substance users, suboptimal adherence to ART was statistically significantly higher than non-users (24.6% and 15.9%, respectively, p = 0.007). The authors also observed suboptimum ART adherence among people who presented with clinical comorbidities. Conclusion: Substance use has negatively affected ART adherence among PLWH who attend primary health care services in the Eastern Cape province of South Africa. Therefore, an integrated substance use management strategy in primary health care is recommended to achieve optimal adherence to ART. Contribution: Substance use disorder significantly affected the adherence to ART in primary health care. This is important since primary care is the gateway to the HIV care continuum. The study highlighted the role of integration of substance use management in primary care

Effect of Nutrient Management on Dry Matter Production and Nutrient Uptake of Hyacinth bean in Baby corn (Zea mays L.) – Hyacinth bean (Lablab purpureus var. typicus) Cropping System

The field experiments were conducted at Horticultural Research Station, SKLTSHU, Adilabad, Telangana State, India during rabi seasons (October-February) of 2015-16 and 2016-17 to study the effect of Integrated Nutrient Management practices on dry matter production and nutrient uptake of hyacinth bean in baby corn–hyacinth bean cropping system. Experiment was laid in Randomized Block Design for baby corn during kharif 2015 with seven treatments comprised of 100 % recommended dose of fertilizers (RDF 150:60:60 N, P2O5 and K2O kg ha-1), 25 % N supplemented through farm yard manure or vermicompost+75% RDF with or without bio-fertilizers Azospirillum and Bacillus megaterium @ 5 kg ha-1 each in addition to control and replicated thrice. Each main treatment was divided into four subplots and the treatments of 100% RDF (20-50 N, P2O5 kg ha-1) and 75% RDF with or without Bradyrhizobium @ 500 g ha-1 (seed treatment) were imposed for hyacinth bean in rabi season and data of rabi 2015-16 and 2016-17 was analyzed in split plot design. Application of 25% N through FYM in conjunction with 75% RDF and bio-fertilizer to baby corn during kharif and 100% RDF along with seed treatment with Bradyrhizobium to hyacinth bean during rabi resulted in significantly higher dry matter production at various growth stages and nutrient uptake (nitrogen, phosphorus and potassium) over rest of the treatments

Influence of INM Practices on Growth, Yield and Proximate Characters of Baby Corn in Baby Corn (Zea mays L.) – Hyacinth Bean (Lablab purpureus var. typicus) Cropping System

The field experiments were conducted in tropical rainy region of Northern Telangana Zone, India during kharif seasons (July-September) of 2015 and 2016 to study the effect of integrated nutrient management practices on growth and proximate characters of baby corn in Baby corn (Zea mays L.) – Hyacinth bean (Lablab purpureusvar. typicus) cropping system. Experiment was laid in Randomized Block Design for baby corn during kharif 2015 with seven treatments comprised of 100% recommended dose of fertilizers (RDF 150:27:50 N, P and K kg ha-1), 25% N supplemented through farm yard manure or vermicompost + 75% RDF with or without bio-fertilizers Azospirillum and Bacillus megaterium @ 5 kg ha-1 each in addition to control and replicated thrice. Each main treatment was divided into four subplots and the treatments of 100% RDF (20-22 N, P kgha-1) and 75% RDF with or without Bradyrhizobium @ 500 g ha-1 (seed treatment) were imposed for hyacinth bean in rabi season and data of kharif 2016 was analyzed in split plot design. Application of 25% N through vermicompost in conjunction with 75% RDF and bio-fertilizers to baby corn during kharif resulted in significantly higher plant height, leaf area index, root volume, cob plant -1, cob length, cob girth, cob width, cob weight, cob yield, stover yield, protein content and significantly lower fiber content over rest of treatments during 2015 and 2016. 100% RDF along with seed treatment with Bradyrhizobium to hyacinth bean during preceding rabi resulted in significantly higher growth, yield attributes, yield and proximate characters of baby corn in the succeeding kharif 2016 over rest of the treatments of 100% RDF, 75% RDF with or without Bradyrhizobium seed treatment

Nutrient Management on the Water Productivity and Profitability of Hyacinth Bean in Baby Corn (Zea mays L.) - Hyacinth Bean (Lablab purpureus var. typicus) Cropping System

The field experiments were conducted in semi-arid region during rabi seasons of 2015-16 and 2016-17 to study the effect of integrated nutrient management practices on water productivity and profitability of hyacinth in baby corn – hyacinth bean cropping system. Experiment was laid in Randomized Block Design for baby corn during kharif 2015 with seven treatments comprised of 100% recommended dose of fertilizers (RDF 150:27:50 N, P and K kg ha-1), 25% N supplemented through farm yard manure or vermicompost+75% RDF with or without bio-fertilizers Azospirillum and Bacillus megaterium @ 5 kg ha-1 each in addition to control and replicated thrice. Each main treatment was divided into four subplots and the treatments of 100% RDF (20-22 N, P kg ha-1) and 75% RDF with or without Bradyrhizobium @ 500 g ha-1 (seed treatment) were imposed for hyacinth bean in rabi seasons and data was analyzed in split plot design. Integration of 100% RDF in conjunction with Bradyrhizobium seed treatment to hyacinth bean resulted in significantly higher water productivity, gross and net returns and maximum B:C during rabicompared to 100% RDF, 75% RDF with or without seed treatment. Integration of 75% RDF with 25% N through FYM along with biofertilizers to kharif baby corn showed significantly higher water productivity, gross and net returns of hyacinth bean during rabiover rest of the treatments of 100% RDF with or without biofertilizers and un-fertilized control but was at par with other organic treatments with or without biofertilizers due to residual effect