Effect of shape anisotropy on transport in a 2-dimensional computational model: Numerical simulations showing experimental features observed in biomembranes

We propose a 2-d computational model-system comprising a mixture of spheres and the objects of some other shapes, interacting via the Lennard-Jones potential. We propose a reliable and efficient numerical algorithm to obtain void statistics. The void distribution, in turn, determines the selective permeability across the system and bears a remarkable similarity with features reported in certain biological experiments.Comment: 1 tex file, 2 sty files and 5 figures. To appear in Proc. of StatPhys conference held in Calcutta, Physica A 199

Evaluation of constitutional chromosomal abnormalities: experience of a tertiary healthcare diagnostic laboratory in India

Background: Structural and numerical chromosomal aberrations contribute significantly to genetic disease. Unbalanced aberrations are associated with congenital anomalies, mental retardation and underdevelopment of secondary sexual characters while balanced structural chromosomal abnormalities contribute to an increased risk for infertility, bad obstetric history and chromosomally unbalanced offspring with multiple congenital abnormalities and intellectual impairment. Aim of the current study was to determine the prevalence and characterization of cytogenetic aberrations in 8445 cases referred during the years 2010-2013 for cytogenetic evaluation.Methods: Metaphase chromosomes from 72-hour blood lymphocyte culture were prepared for Giemsa-Trypsin-G banding. Characterization of marker chromosomes were done by M-FISH and subtle chromosomal aberrations were evaluated by targeted FISH using centromeric probes for chromosome 13,18,21, X and Y and loci specific probes for microdeletion syndromes and SRY gene.Results: Variant forms of trisomies i.e. partial trisomies were seen in cases with Edwards and Patau syndrome. Sex chromosomal abnormalities associated with puberty and reproductive problems were seen in cases with Turner syndrome, Klinefelter syndrome and also in females with primary amenorrhea. Autosomal reciprocal translocations were the most common chromosomal changes in couples with recurrent abortions. In order to increase the diagnostic yield and evaluate variations, FISH and m-FISH were additional tests done to characterize the genetic variations.Conclusions: Along with Karyotyping SRY, XIST, SHOX9 gene analysis and Y microdeletion analysis are also critial tests to assess the possibilities for normal development or assisted reproduction in individuals with sex chromosomal abnormalities

Systems Thinking Perspective on Support for Transition and Acceptance of Identity of Chronic Health Disease Patient in Society

Currently, India is home to diabetes, and it has the second-largest diabetic population in the world. The term ‘health seeker’ is used instead of the patient since the health seeker is attributed to a person who is motivated to improve his physical and mental well-being (Bate, P. & Rober, G., 2007). Diabetes is a chronic disease that requires the health seeker to modify their lifestyle, which is a transition of their identity. This transition from a healthy self to a chronic health disease health seeker is often challenged by societal forces and healthcare services. While the patient experiences are personal, the healthcare systems are abstract and impersonal. With the systems thinking approach, the questions we are trying to seek answers to are: Where does the boundary of healthcare begin and end for a patient with chronic health disease? What are the insensitivities faced by the health seeker while experiencing a chronic health condition such as diabetes? What are the support systems that help health seekers in their journey of new medical identity across space and various life activities

Changing trends in circulating rotavirus strains in Pune, western India in 2009–2012: Emergence of a rare G9P[4] rotavirus strain

AbstractBackgroundA vast diversity in rotaviruses at inter- and intra-genotypic level underscores the need for monitoring of circulating rotavirus strains. The aim of this study was to update the data on rotavirus disease and strains for the period from January 2009 to December 2012 in Pune, western India which has been one of the sites of the Indian Rotavirus Strain Surveillance Network since November 2005.MethodsChildren aged <5 years admitted for acute gastroenteritis in three different hospitals from Pune city were included in the study. The stool specimens were collected and tested for rotavirus antigen by a commercial enzyme immunoassay. The rotavirus strains were genotyped by multiplex reverse transcription polymerase chain reaction.ResultsDuring the study period, we found 35.1% of 685 stool specimens contained rotavirus antigen. Frequency of rotavirus detection was greatest (58.5%) among children aged 7–12 months. The G1P[8] (31.4%), G2P[4] (20.2%) and G9P[8] (11.8%) strains were the most common types. We noted predominance of G1P[8] strains (39.6%-46.1%) in all the years of study except 2009 wherein G9P[8] strains scored highest level (15.3%). Subsequent to this, we identified G9P[8] strains at the second highest position in 2010, their sudden decline and rise in G9P[4] strains in 2011–2012. We detected G12 strains in combination with P[6] and P[8] at variable rates (0–10.2%) and highest level (27.1%) of mixed rotavirus infections in 2009 as compared to 2010–2012 (0–3.8%).ConclusionThe study highlights the huge burden of rotavirus disease and changing profile of circulating rotavirus strains displaying emergence of G9P[4] reassortant strains in Pune, western India and emphasizes the need to analyze the entire genomic constellation of rotavirus strains for better evaluation of the impact of rotavirus

Agroforestry Systems for Soil Health Improvement and Maintenance

Agroforestry integrates woody perennials with arable crops, livestock, or fodder in the same piece of land, promoting the more efficient utilization of resources as compared to monocropping via the structural and functional diversification of components. This integration of trees provides various soil-related ecological services such as fertility enhancements and improvements in soil physical, biological, and chemical properties, along with food, wood, and fodder. By providing a particular habitat, refugia for epigenic organisms, microclimate heterogeneity, buffering action, soil moisture, and humidity, agroforestry can enhance biodiversity more than monocropping. Various studies confirmed the internal restoration potential of agroforestry. Agroforestry reduces runoff, intercepts rainfall, and binds soil particles together, helping in erosion control. This trade-off between various non-cash ecological services and crop production is not a serious constraint in the integration of trees on the farmland and also provides other important co-benefits for practitioners. Tree-based systems increase livelihoods, yields, and resilience in agriculture, thereby ensuring nutrition and food security. Agroforestry can be a cost-effective and climate-smart farming practice, which will help to cope with the climate-related extremities of dryland areas cultivated by smallholders through diversifying food, improving and protecting soil, and reducing wind erosion. This review highlighted the role of agroforestry in soil improvements, microclimate amelioration, and improvements in productivity through agroforestry, particularly in semi-arid and degraded areas under careful consideration of management practices

Smartpixels: Towards on-sensor inference of charged particle track parameters and uncertainties

The combinatorics of track seeding has long been a computational bottleneck for triggering and offline computing in High Energy Physics (HEP), and remains so for the HL-LHC. Next-generation pixel sensors will be sufficiently fine-grained to determine angular information of the charged particle passing through from pixel-cluster properties. This detector technology immediately improves the situation for offline tracking, but any major improvements in physics reach are unrealized since they are dominated by lowest-level hardware trigger acceptance. We will demonstrate track angle and hit position prediction, including errors, using a mixture density network within a single layer of silicon as well as the progress towards and status of implementing the neural network in hardware on both FPGAs and ASICs.Comment: 6 pages, 3 figures, submitted to Neural Information Processing Systems 2023 (NeurIPS

A model for warfare in stratified small-scale societies: the effect of within-group inequality

In order to predict the features of non-raiding human warfare in small-scale, socially stratified societies, we study a coalitionary model of war that assumes that individuals participate voluntarily because their decisions serve to maximize fitness. Individual males join the coalition if war results in a net economic and thus fitness benefit. Within the model, viable offensive war ensues if the attacking coalition of males can overpower the defending coalition. We assume that the two groups will eventually fuse after a victory, with ranks arranged according to the fighting abilities of all males and that the new group will adopt the winning group's skew in fitness payoffs. We ask whether asymmetries in skew, group size and the amount of resources controlled by a group affect the likelihood of successful war. The model shows, other things being equal, that (i) egalitarian groups are more likely to defeat their more despotic enemies, even when these are stronger, (ii) defection to enemy groups will be rare, unless the attacked group is far more despotic than the attacking one, and (iii) genocidal war is likely under a variety of conditions, in particular when the group under attack is more egalitarian. This simple optimality model accords with several empirically observed correlations in human warfare. Its success underlines the important role of egalitarianism in warfare

Teaching and curiosity: sequential drivers of cumulative cultural evolution in the hominin lineage

Many animals, and in particular great apes, show evidence of culture, in the sense of having multiple innovations in multiple domains whose frequencies are influenced by social learning. But only humans show strong evidence of complex, cumulative culture, which is the product of copying and the resulting effect of cumulative cultural evolution. The reasons for this increase in complexity have recently become the subject of extensive debate. Here, we examine these reasons, relying on both comparative and paleoarcheological data. The currently best-supported inference is that culture began to be truly cumulative (and so, outside the primate range) around 500,000 years ago. We suggest that the best explanation for its onset is the emergence of verbal teaching, which not only requires language and thus probably coevolved with the latter’s evolution but also reflects the overall increase in proactive cooperation due to extensive allomaternal care. A subsequent steep increase in cumulative culture, roughly 75 ka, may reflect the rise of active novelty seeking (curiosity), which led to a dramatic range expansion and steep increase in the diversity and complexity of material culture. A final, and continuing, period of acceleration began with the Neolithic (agricultural) revolution