7 research outputs found

    A Novel Approach to Autonomous Farming Robot

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    Now-a-days everyone has lost interest from farming as it has become a very difficult and tedious job. Although hi-tech vehicles and equipment have overcome older version of vehicles and equipment and also they made farming quite easy. But it still requires a plenty of human effort. Today automation has been introduced in almost every form of industry and a prominent reason to reducing human effort. Our Objective is to reduce human efforts in farming as we planned to develop an autonomous guidance system for farm vehicles. Our system will be based on Global Positioning System (GPS) [1]. To develop complete autonomous system, other than GPS, systems like machine vision, laser-based sensors, inertial sensors would be needed to be employed for avoiding obstacles in the path and overcoming other challenges. However making such systems would require more time and monetary resources then available, hence developing such complete autonomous system is out of scope of the current task at hand. Our aim is to develop a Mixture of such complete autonomous system which will fulfill one of the Basic needs of a complete autonomous guidance system. DOI: 10.17762/ijritcc2321-8169.160412

    Net load balancing-oriented PV solar-based microgrid optimal scheduling considering islanded and grid-connected

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    The term net load refers to system demand minus the generation from variable distributed renewable resources. To maintain the balance between variable renewable supply and demand, system should be sufficiently flexible to handle the net load fluctuations. Microgrids (MG) with their decentralized system operations offer solutions to the challenges posed by net load variability resulted from high penetration of renewable generation. Although MG deployment is rapidly growing, there are still many challenges to optimally operate MG when operating in gridconnected or islanded mode. This thesis proposes a net load-oriented MG optimal scheduling model to balance the MG net load considering both islanded and grid connected modes. The proposed optimization methodology is performed considering the net load variation for eight intraseasonal representative days. Case studies demonstrate the effectiveness of the proposed methodology in both grid-connected and islanded modes

    The upfront cost of translating graduate medical education into a virtual platform

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    Graduate medical education was drastically disrupted by the COVID-19 pandemic. With a halt on all in-person educational sessions in response to the need for social distancing, residency programs across the country scrambled to develop virtual curricula with some difficulty, given the limited guidance to creating online learning platforms prior to the onset of the pandemic. In-person Socratic discussions have always been the cornerstone of internal medicine training. Here, we discussed our experiences of translating the in-person model and to a virtual platform, highlighting the upfront financial burden that doing so can have. Time will need to pass before we can fully appreciate the profound impact, or lack thereof, of remote learning on GME

    Delusional Disorder, Erotomanic Type, Exacerbated by Social Media Use

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    Erotomania is an uncommon form of delusional disorder in which an individual has an unfounded belief that another is in love with him. Previous case reports have shown that social media networks may play a role in worsening delusional beliefs. We report the case of a 24-year-old male college student that utilized social media to stalk a female college student, resulting in his suspension from school and hospitalization. The student was diagnosed with delusional disorder, erotomanic type, and started on risperidone. He showed little improvement and was transferred to another facility. This is the first identified case of social media triggering or exacerbating delusional disorder. We recommend increasing education on the ramifications of sharing personal information on social media

    A <i>cis</i>-regulatory antisense RNA represses translation in <i>Vibrio cholerae</i> through extensive complementarity and proximity to the target locus

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    <div><p>As with all facultative pathogens, <i>Vibrio cholerae</i> must optimize its cellular processes to adapt to different environments with varying carbon sources and to environmental stresses. More specifically, in order to metabolize mannitol, <i>V. cholerae</i> must regulate the synthesis of MtlA, a mannitol transporter protein produced exclusively in the presence of mannitol. We previously showed that a <i>cis</i>-acting small RNA (sRNA) expressed by <i>V. cholerae,</i> MtlS, appears to post-transcriptionally downregulate the expression of <i>mtlA</i> and is produced in the absence of mannitol. We hypothesized that since it is complementary to the 5′ untranslated region (UTR) of <i>mtlA</i> mRNA, MtlS may affect synthesis of MtlA by forming an <i>mtlA</i>-MtlS complex that blocks translation of the mRNA through occlusion of its ribosome binding site. To test this hypothesis, we used in vitro translation assays in order to examine the role MtlS plays in <i>mtlA</i> regulation and found that MtlS is sufficient to suppress translation of transcripts harboring the 5′ UTR of <i>mtlA</i>. However, in a cellular context, the 5′ UTR of <i>mtlA</i> is not sufficient for targeted repression by endogenous MtlS; additional segments from the coding region of <i>mtlA</i> play a role in the ability of the sRNA to regulate translation of <i>mtlA</i> mRNA. Additionally, proximity of transcription sites between the sRNA and mRNA significantly affects the efficacy of MtlS.</p></div
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