Partition lies, Advaita Vedanta and Bhisham Sahni’s Tamas

This is a re-look at the (Indian) Partition event through the lens of Advaita Vedanta

Lyoluminescence:a theoretical approach

When strongly energized halide or organic crystals are dissolved in a liquid solvent (like water), light is emitted as a result of a recombination process. This phenomenon is called lyoluminescence. The emitted light intensity, called the lyoluminescent intensity, depends on a class of factors like radiation dose, probability of radiative recombination, rate of dissolution in the solvent, etc. Combining some of these numerous effects we develop a nonlinear differential equation and analyze it by a dynamical system analysis as well as by exact numerical integration. The corresponding plot of the theoretical lyoluminescent intensity versus time graph, called the glow curve (Fig. (1)), matches very well with the shape of the experimental curve (Fig. (2)) for a vast range of characteristic values of the controlling parameters. ©2000 The American Physical Society

Antimicrobial usage and its quantification for neonatal sepsis at a tertiary care hospital neonatal intensive care unit

Background: Antimicrobial therapy for neonatal sepsis is challenging as its judicious use can save neonates while its inappropriate use can lead to rapid emergence of resistant strains. Quantification of consumption of antimicrobial agents (AMA) has not been undertaken in Indian neonatal intensive care units (NICU) setting. This prospective observational study evaluated the antimicrobial prescribing pattern and quantified its consumption in clinically suspected neonatal sepsis (NS) cases.Methods: Clinically suspected NS cases admitted over study period of 18 months in a tertiary care level III NICU were enrolled. Data of antimicrobials prescribed, its consumption, culture sensitivity profile of organisms isolated were collected.Consumption was quantified by computing the days of therapy (DOT) per 1000 patient-days (PD).Results: 150 clinically suspected NS cases were enrolled; 37.33% were culture positive. The most common AMA prescribed were netilmicin (94.67%), piperacillin-tazobactam (88.67%). Only 0.67% cases received reserve antimicrobials like colistin, vancomycin and linezolid. 58% received 2 AMA, 39.33% received ≥3 agents. Total antimicrobial consumption was 614.86 DOT/1000 PD and 21.68 DOT/ neonate. Statistically significant difference in total AMA consumption amongst culture positive versus negative cases (p <0.001) was observed but difference was not significant in EOS versus LOS (p=0.95).Conclusion: Usage of antimicrobials for neonatal sepsis was guided by sensitivity pattern of local prevalent flora and clinical response. Usage of reserve antimicrobials were restricted. However, consumption of AB was higher compared to developed countries and we intend to use the study outcome data for antibiotic stewardship program to reduce antibiotic consumption and modify prescribing trends at the study setting

Interplay of degeneracy and non-degeneracy in fluctuations propagation in coherent feed-forward loop motif

We present a stochastic framework to decipher fluctuations propagation in classes of coherent feed-forward loops. The systematic contribution of the direct (one-step) and indirect (two-step) pathways is considered to quantify fluctuations of the output node. We also consider both additive and multiplicative integration mechanisms of the two parallel pathways (one-step and two-step). Analytical expression of the output node's coefficient of variation shows contributions of intrinsic, one-step, two-step, and cross-interaction in closed form. We observe a diverse range of degeneracy and non-degeneracy in each of the decomposed fluctuations term and their contribution to the overall output fluctuations of each coherent feed-forward loop motif. Analysis of output fluctuations reveals a maximal level of fluctuations of the coherent feed-forward loop motif of type 1.Comment: 20 pages, 4 figure

Transport and bistable kinetics of a Brownian particle in a nonequilibrium environment

A system reservoir model, where the associated reservoir is modulated by an external colored random force, is proposed to study the transport of an overdamped Brownian particle in a periodic potential. We then derive the analytical expression for the average velocity, mobility, and diffusion rate. The bistable kinetics and escape rate from a metastable state in the overdamped region are studied consequently. By numerical simulation we then demonstrate that our analytical escape rate is in good agreement with that of numerical result.Comment: 10 pages, 2 figures, RevTex4, minor correction

Exploiting Unlabelled Photos for Stronger Fine-Grained SBIR

This paper advances the fine-grained sketch-based image retrieval (FG-SBIR) literature by putting forward a strong baseline that overshoots prior state-of-the-arts by ~11%. This is not via complicated design though, but by addressing two critical issues facing the community (i) the gold standard triplet loss does not enforce holistic latent space geometry, and (ii) there are never enough sketches to train a high accuracy model. For the former, we propose a simple modification to the standard triplet loss, that explicitly enforces separation amongst photos/sketch instances. For the latter, we put forward a novel knowledge distillation module can leverage photo data for model training. Both modules are then plugged into a novel plug-n-playable training paradigm that allows for more stable training. More specifically, for (i) we employ an intra-modal triplet loss amongst sketches to bring sketches of the same instance closer from others, and one more amongst photos to push away different photo instances while bringing closer a structurally augmented version of the same photo (offering a gain of ~4-6%). To tackle (ii), we first pre-train a teacher on the large set of unlabelled photos over the aforementioned intra-modal photo triplet loss. Then we distill the contextual similarity present amongst the instances in the teacher's embedding space to that in the student's embedding space, by matching the distribution over inter-feature distances of respective samples in both embedding spaces (delivering a further gain of ~4-5%). Apart from outperforming prior arts significantly, our model also yields satisfactory results on generalising to new classes. Project page: https://aneeshan95.github.io/Sketch_PVT/Comment: Accepted in CVPR 2023. Project page available at https://aneeshan95.github.io/Sketch_PVT

Carriage and within-host diversity of mcr-1.1-harboring Escherichia coli from pregnant mothers: inter- and intra-mother transmission dynamics of mcr-1.1

Exchange of antimicrobial resistance genes via mobile genetic elements occur in the gut which can be transferred from mother to neonate during birth. This study is the first to analyze transmissible colistin resistance gene, mcr, in pregnant mothers and neonates. Samples were collected from pregnant mothers (rectal) and septicaemic neonates (rectal & blood) and analyzed for presence of mcr, its transmissibility, genome diversity, and exchange of mcr between isolates within an individualand across different individuals (not necessarily mother-baby pairs). mcr-1.1 was detected in rectal samples of pregnant mothers (n=10, 0.9%), but not in neonates. All mcr-positive mothers gave birth to healthy neonates from whom rectal specimen were not collected. Hence, transmission of mcr between these mother-neonate pairs could not be studied. mcr-1.1 was noted only in Escherichia coli (phylogroup A & B1), and carried few resistance and virulence genes. Isolates belonged to diverse sequence types (n=11) with two novel STs (ST12452, ST12455). mcr-1.1 was borne on conjugative IncHI2 bracketed between ISApl1 on Tn6630, and the plasmids exhibited similarities in sequences across the study isolates. Phylogenetic comparison showed that study isolates were related to mcr-positive isolates of animal origin from Southeast Asian countries. Spread of mcr-1.1 within this study occurred either via similar mcr-positive clones or similar mcr-bearing plasmids in mothers. Though this study could not build evidence for mother-baby transmission, but presence of such genes in the maternal specimen may enhance the chances of transmission to neonates

Gender-Responsive Budgeting as Fiscal Innovation: Evidence from India on 'Processes'

Gender-responsive budgeting (GRB) is a fiscal innovation. Innovation, for the purposes of this paper, is defined as a way of transforming a new concept into tangible processes, resources, and institutional mechanisms in which a benefit meets identified problems. GRB is a fiscal innovation in that it translates gender commitments into fiscal commitments by applying a "gender lens" to the identified processes, resources, and institutional mechanisms, and arrives at a desirable benefit incidence. The theoretical treatment of gender budgeting as a fiscal innovation is not incorporated, as the focus of this paper is broadly on the processes involved. GRB as an innovation has four specific components: knowledge processes and networking, institutional mechanisms, learning processes and building capacities, and public accountability and benefit incidence. The paper analyzes these four components of GRB in the context of India. The National Institute of Public Finance and Policy has been the pioneer of gender budgeting in India, and also played a significant role in institutionalizing gender budgeting within the Ministry of Finance, Government of India, in 2005. The Expert Committee Group on "Classification of Budgetary Transactions" makes recommendations on gender budgeting - Ashok Lahiri Committee recommendations - that will become part of the institutionalization process, integrating the analytical matrices of fiscal data through a gender lens and also the institutional innovations for GRB. Revisiting the 2004 Lahiri recommendations and revamping the process of GRB in India is inevitable, at both ex ante and ex post levels

Characterization of antimicrobial resistant Gram-negative bacteria that cause neonatal sepsis in seven low and middle-income countries

Antimicrobial resistance in neonatal sepsis is rising, yet mechanisms of resistance that often spread between species via mobile genetic elements, ultimately limiting treatments in low- and middle-income countries (LMICs), are poorly characterized. The Burden of Antibiotic Resistance in Neonates from Developing Societies (BARNARDS) network was initiated to characterize the cause and burden of antimicrobial resistance in neonatal sepsis for seven LMICs in Africa and South Asia. A total of 36,285 neonates were enrolled in the BARNARDS study between November 2015 and December 2017, of whom 2,483 were diagnosed with culture-confirmed sepsis. Klebsiella pneumoniae (n = 258) was the main cause of neonatal sepsis, with Serratia marcescens (n = 151), Klebsiella michiganensis (n = 117), Escherichia coli (n = 75) and Enterobacter cloacae complex (n = 57) also detected. We present whole-genome sequencing, antimicrobial susceptibility and clinical data for 916 out of 1,038 neonatal sepsis isolates (97 isolates were not recovered from initial isolation at local sites). Enterobacterales (K. pneumoniae, E. coli and E. cloacae) harboured multiple cephalosporin and carbapenem resistance genes. All isolated pathogens were resistant to multiple antibiotic classes, including those used to treat neonatal sepsis. Intraspecies diversity of K. pneumoniae and E. coli indicated that multiple antibiotic-resistant lineages cause neonatal sepsis. Our results will underpin research towards better treatments for neonatal sepsis in LMICs

Effects of antibiotic resistance, drug target attainment, bacterial pathogenicity and virulence, and antibiotic access and affordability on outcomes in neonatal sepsis: an international microbiology and drug evaluation prospective substudy (BARNARDS)

Background Sepsis is a major contributor to neonatal mortality, particularly in low-income and middle-income countries (LMICs). WHO advocates ampicillin–gentamicin as first-line therapy for the management of neonatal sepsis. In the BARNARDS observational cohort study of neonatal sepsis and antimicrobial resistance in LMICs, common sepsis pathogens were characterised via whole genome sequencing (WGS) and antimicrobial resistance profiles. In this substudy of BARNARDS, we aimed to assess the use and efficacy of empirical antibiotic therapies commonly used in LMICs for neonatal sepsis. Methods In BARNARDS, consenting mother–neonates aged 0–60 days dyads were enrolled on delivery or neonatal presentation with suspected sepsis at 12 BARNARDS clinical sites in Bangladesh, Ethiopia, India, Pakistan, Nigeria, Rwanda, and South Africa. Stillborn babies were excluded from the study. Blood samples were collected from neonates presenting with clinical signs of sepsis, and WGS and minimum inhibitory concentrations for antibiotic treatment were determined for bacterial isolates from culture-confirmed sepsis. Neonatal outcome data were collected following enrolment until 60 days of life. Antibiotic usage and neonatal outcome data were assessed. Survival analyses were adjusted to take into account potential clinical confounding variables related to the birth and pathogen. Additionally, resistance profiles, pharmacokinetic–pharmacodynamic probability of target attainment, and frequency of resistance (ie, resistance defined by in-vitro growth of isolates when challenged by antibiotics) were assessed. Questionnaires on health structures and antibiotic costs evaluated accessibility and affordability. Findings Between Nov 12, 2015, and Feb 1, 2018, 36 285 neonates were enrolled into the main BARNARDS study, of whom 9874 had clinically diagnosed sepsis and 5749 had available antibiotic data. The four most commonly prescribed antibiotic combinations given to 4451 neonates (77·42%) of 5749 were ampicillin–gentamicin, ceftazidime–amikacin, piperacillin–tazobactam–amikacin, and amoxicillin clavulanate–amikacin. This dataset assessed 476 prescriptions for 442 neonates treated with one of these antibiotic combinations with WGS data (all BARNARDS countries were represented in this subset except India). Multiple pathogens were isolated, totalling 457 isolates. Reported mortality was lower for neonates treated with ceftazidime–amikacin than for neonates treated with ampicillin–gentamicin (hazard ratio [adjusted for clinical variables considered potential confounders to outcomes] 0·32, 95% CI 0·14–0·72; p=0·0060). Of 390 Gram-negative isolates, 379 (97·2%) were resistant to ampicillin and 274 (70·3%) were resistant to gentamicin. Susceptibility of Gram-negative isolates to at least one antibiotic in a treatment combination was noted in 111 (28·5%) to ampicillin–gentamicin; 286 (73·3%) to amoxicillin clavulanate–amikacin; 301 (77·2%) to ceftazidime–amikacin; and 312 (80·0%) to piperacillin–tazobactam–amikacin. A probability of target attainment of 80% or more was noted in 26 neonates (33·7% [SD 0·59]) of 78 with ampicillin–gentamicin; 15 (68·0% [3·84]) of 27 with amoxicillin clavulanate–amikacin; 93 (92·7% [0·24]) of 109 with ceftazidime–amikacin; and 70 (85·3% [0·47]) of 76 with piperacillin–tazobactam–amikacin. However, antibiotic and country effects could not be distinguished. Frequency of resistance was recorded most frequently with fosfomycin (in 78 isolates [68·4%] of 114), followed by colistin (55 isolates [57·3%] of 96), and gentamicin (62 isolates [53·0%] of 117). Sites in six of the seven countries (excluding South Africa) stated that the cost of antibiotics would influence treatment of neonatal sepsis