Growth and yield performance of hybrid tomato (Solanum lycopersicum L.) lines at Parwanipur, Bara, Nepal

An experiment was conducted to evaluate the performance of hybrid tomato lines on growth and yield performance at Regional Agriculture research Station (RARS), Parwanipur, Nepal during end of September, 2018 to April, 2019. The experiment was laid out in randomized complete block design (RCBD) with seven hybrid tomato lines as treatments and three replications. The tested lines included Srijana and Dalila as check varieties and other lines, developed by crossing HRA and HRD lines which showed better performance under late blight conditions. HRA 20× HRD 1 showed significantly higher plant height (110.67 cm) which was statistically at par with genotype HRA 14× HRD 7. The highest number of fruits per plant (69) was recorded from Srijana whereas the lowest number of fruits per plant (37) was recorded from cv. HRA20 × HRD1. The fruit yield of the lines ranged from 50.54 t/ha to 32.2 t/ha with Srijana having the highest yield and HRA 20× HRD 1 as the lowest. Similar results were shown regarding the marketable fruit yield. However, the highest individual fruit weight (34.67g) was recorded in HRA 14× HRD 7 and the least fruit weight was recorded in Srijana (24.22 g). Results showed that the maximum TSS (5.53 0Brix) was recorded from Dalila which was similar as Srijana. Hence, the overall performance of Srijana was recorded superior regarding both quantitative and qualitative suggesting Srijana as the recommended variety in the given domain. Here authors concluded that Srijana is still a comparatively better hybrid variety in Nepal.&nbsp

POSYDON: A General-Purpose Population Synthesis Code with Detailed Binary-Evolution Simulations

Most massive stars are members of a binary or a higher-order stellar systems, where the presence of a binary companion can decisively alter their evolution via binary interactions. Interacting binaries are also important astrophysical laboratories for the study of compact objects. Binary population synthesis studies have been used extensively over the last two decades to interpret observations of compact-object binaries and to decipher the physical processes that lead to their formation. Here, we present POSYDON, a novel, binary population synthesis code that incorporates full stellar-structure and binary-evolution modeling, using the MESA code, throughout the whole evolution of the binaries. The use of POSYDON enables the self-consistent treatment of physical processes in stellar and binary evolution, including: realistic mass-transfer calculations and assessment of stability, internal angular-momentum transport and tides, stellar core sizes, mass-transfer rates and orbital periods. This paper describes the detailed methodology and implementation of POSYDON, including the assumed physics of stellar- and binary-evolution, the extensive grids of detailed single- and binary-star models, the post-processing, classification and interpolation methods we developed for use with the grids, and the treatment of evolutionary phases that are not based on pre-calculated grids. The first version of POSYDON targets binaries with massive primary stars (potential progenitors of neutron stars or black holes) at solar metallicity.Comment: 60 pages, 33 figures, 8 tables, referee's comments addressed. The code and the accompanying documentations and data products are available at https:\\posydon.or

A rare case of neglected paediatric elbow dislocation treated with open reduction in tertiary care rural hospital of Nepal

Old unreduced dislocation of elbow is rare1. However, they remain rather frequent in developing countries, because of the recourse of patients to the traditional medicine.2 Term  ‘Unreduced’ is defined as those posterior elbow dislocations not treated within 3 weeks of injury.3These elbows are fixed in either extension or flexion with only a few degrees of flexion, supination, and pronation, and have a non-functional range of movement for activities of daily living.3,4The time since injury and patient age determine the mode of treatment.5 The likelihood of restoring useful function of the elbow by open reduction alone is inversely proportional to the time since injury.6There are many ways to treat chronic dislocation or fracture- dislocation of the elbow, including ORIF, excision arthroplasty, replacement arthroplasty, arthrodesis, and hinged external fixators.7 There has been considerable disagreement about the impact of such variables as the duration of the untreated dislocation, the age of the patient, the method of repair or reconstruction of the collateral ligaments, the performance of triceps or biceps-lengthening, and postoperative mobilization.8,9`

Potential Autoimmunity Resulting from Molecular Mimicry between SARS-CoV-2 Spike and Human Proteins

Molecular mimicry between viral antigens and host proteins can produce cross-reacting antibodies leading to autoimmunity. The coronavirus SARS-CoV-2 causes COVID-19, a disease curiously resulting in varied symptoms and outcomes, ranging from asymptomatic to fatal. Autoimmunity due to cross-reacting antibodies resulting from molecular mimicry between viral antigens and host proteins may provide an explanation. Thus, we computationally investigated molecular mimicry between SARS-CoV-2 Spike and known epitopes. We discovered molecular mimicry hotspots in Spike and highlight two examples with tentative high autoimmune potential and implications for understanding COVID-19 complications. We show that a TQLPP motif in Spike and thrombopoietin shares similar antibody binding properties. Antibodies cross-reacting with thrombopoietin may induce thrombocytopenia, a condition observed in COVID-19 patients. Another motif, ELDKY, is shared in multiple human proteins, such as PRKG1 involved in platelet activation and calcium regulation, and tropomyosin, which is linked to cardiac disease. Antibodies cross-reacting with PRKG1 and tropomyosin may cause known COVID-19 complications such as blood-clotting disorders and cardiac disease, respectively. Our findings illuminate COVID-19 pathogenesis and highlight the importance of considering autoimmune potential when developing therapeutic interventions to reduce adverse reactions

POSYDON: a general-purpose population synthesis code with detailed binary-evolution simulations

Most massive stars are members of a binary or a higher-order stellar systems, where the presence of a binary companion can decisively alter their evolution via binary interactions. Interacting binaries are also important astrophysical laboratories for the study of compact objects. Binary population synthesis studies have been used extensively over the last two decades to interpret observations of compact-object binaries and to decipher the physical processes that lead to their formation. Here, we present POSYDON, a novel, binary population synthesis code that incorporates full stellar-structure and binary-evolution modeling, using the MESA code, throughout the whole evolution of the binaries. The use of POSYDON enables the self-consistent treatment of physical processes in stellar and binary evolution, including: realistic mass-transfer calculations and assessment of stability, internal angular-momentum transport and tides, stellar core sizes, mass-transfer rates and orbital periods. This paper describes the detailed methodology and implementation of POSYDON, including the assumed physics of stellar- and binary-evolution, the extensive grids of detailed single- and binary-star models, the post-processing, classification and interpolation methods we developed for use with the grids, and the treatment of evolutionary phases that are not based on pre-calculated grids. The first version of POSYDON targets binaries with massive primary stars (potential progenitors of neutron stars or black holes) at solar metallicity.Comment: 60 pages, 33 figures, 8 tables, referee's comments addressed. The code and the accompanying documentations and data products are available at https:\\posydon.or