Kadaknath Chicken Meat Scope and Source of Animal Origin Nutrients for High Altitude Regions

Leh-Ladakh falls in the category of a high-altitude region with low oxygen, low atmospheric pressure and lack of moisture in the air, thus rendering the climate harsh. Therefore, humans staying in this region need different diets, nutrient levels, and other health supplements compared to low-lander people to thrive under these stressful conditions. Chicken meat and eggs have high biological value proteins that play an important role in nutrient supply in human diets. Among them, Kadaknath chicken meat is very famous for its nutritious brown and greyish-black flesh. Its meat contains more protein, less cholesterol and less fat. Its flesh is also known for its various medicinal properties, so it is very popular among health-conscious people. However, fresh chicken production at high-altitude is very limited due to stressful conditions, making poultry rearing very difficult and uneconomical. Kadaknath is an Indian breed of chicken from the Jhabua region of Madhya Pradesh known for its hardy nature to thrive in any harsh environment. Therefore, the Kadaknath breed can be a good choice for high-altitude due to its hardy nature and disease-resistant ability. Hence, Kadaknath chicken meat can prove to be a superfood in high-altitude and such remote regions, especially during the acclimatization period. We have recently started working on the propagation of Kadaknath chicken among the farmers of Ladakh and evaluating their meat quality and medicinal value. The present review focuses on the scope of Kadaknath chicken at Leh-Ladakh under backyard farming, its acceptance, and the advantage of its meat in providing complete nutrition to human consumers

Finite Element Analysis for the Buckling Load of Corrugated Tubes

The buckling behavior of the geometry subjected to static loading (compression) is presented. The columns under consideration were made with corrugation perpendicular to the line of action which coincides exactly with the unstrained axis of the column. Four different arrangements of tubes have been considered for all the conditions taken into consideration. The thickness of the tubes, the number of corrugation, and diameter of the tubes, pitch and depth of the tubes have been varied accordingly. Analysis of the prepared tubes was performed using ANSYS 17.0. A linear buckling analysis was performed to calculate the critical load of the corrugated tubes. The effect of buckling and maximum critical load of the FEM models are discussed

ADVERSE DRUG REACTION PROFILE OF DRUGS PRESCRIBED IN CORONAVIRUS DISEASE - 19 PATIENTS – A CROSS-SECTIONAL STUDY

Objective: The objective of this study is to assess adverse drug reaction (ADR) profile of the drugs prescribed to treat Coronavirus Disease (COVID-19) positive patients and to determine whether ADRs are associated with any comorbidities. Methods: A cross-sectional study was done with Laboratory confirmed COVID-19 positive patients who experienced ADRs during their admission period at tertiary care center, Rajkot from April 2020 to March 2021. All the necessary information including ADRs information was obtained from patient’s case record file and filled in suspected ADR reporting form. Suspected ADRs were assessed for demographic parameters and causality, preventability, and severity using World Health Organization (WHO) scale and Naranjo algorithm, modified Schumock and Thornton’s criteria, and modified Hartwig’s criteria, respectively. Results: Out of the 100 patients there were 60 males. The mean age of the patients was 52.65±13.95 year. Fourty-six patients had comorbidities. The most common type of ADR was GI disorders. Among the single suspected medication, most common drug was methylprednisolone and among the two drugs, azithromycin was common. According to the WHO and Naranjo scale, Probable ADRs were 70% and 36%, respectively. The percentage for mild, moderate and severe ADRs were 44%, 39%, 17%, respectively. Eighty-six percent ADRs were definitely preventable. Fifty-one patients were recovered from adverse reactions. Conclusions: Seriousness of reactions is mainly associated with co-morbid conditions. This indicates that patients with comorbidity should be closely monitored to avoid harmful consequences. These ADRs monitoring and reporting program will help physicians to choose their therapy sensibly and decrease chances of mortality in this pandemic era

Comparison of Artificial Intelligence based approaches to cell function prediction

Predicting Retinal Pigment Epithelium (RPE) cell functions in stem cell implants using non-invasive bright field microscopy imaging is a critical task for clinical deployment of stem cell therapies. Such cell function predictions can be carried out using Artificial Intelligence (AI) based models. In this paper we used Traditional Machine Learning (TML) and Deep Learning (DL) based AI models for cell function prediction tasks. TML models depend on feature engineering and DL models perform feature engineering automatically but have higher modeling complexity. This work aims at exploring the tradeoffs between three approaches using TML and DL based models for RPE cell function prediction from microscopy images and at understanding the accuracy relationship between pixel-, cell feature-, and implant label-level accuracies of models. Among the three compared approaches to cell function prediction, the direct approach to cell function prediction from images is slightly more accurate in comparison to indirect approaches using intermediate segmentation and/or feature engineering steps. We also evaluated accuracy variations with respect to model selections (five TML models and two DL models) and model configurations (with and without transfer learning). Finally, we quantified the relationships between segmentation accuracy and the number of samples used for training a model, segmentation accuracy and cell feature error, and cell feature error and accuracy of implant labels. We concluded that for the RPE cell data set, there is a monotonic relationship between the number of training samples and image segmentation accuracy, and between segmentation accuracy and cell feature error, but there is no such a relationship between segmentation accuracy and accuracy of RPE implant labels

The dynamics of measles in sub-Saharan Africa.

Although vaccination has almost eliminated measles in parts of the world, the disease remains a major killer in some high birth rate countries of the Sahel. On the basis of measles dynamics for industrialized countries, high birth rate regions should experience regular annual epidemics. Here, however, we show that measles epidemics in Niger are highly episodic, particularly in the capital Niamey. Models demonstrate that this variability arises from powerful seasonality in transmission-generating high amplitude epidemics-within the chaotic domain of deterministic dynamics. In practice, this leads to frequent stochastic fadeouts, interspersed with irregular, large epidemics. A metapopulation model illustrates how increased vaccine coverage, but still below the local elimination threshold, could lead to increasingly variable major outbreaks in highly seasonally forced contexts. Such erratic dynamics emphasize the importance both of control strategies that address build-up of susceptible individuals and efforts to mitigate the impact of large outbreaks when they occur

Facial Emotion Recognition usign CNN

Nowadays where most of the works are being carried online the demand for face recognition technique is elevated. Computerized software is assisting in identifying human feelings such as happiness, sadness, anger, fear, disgust, etc. Over the decades, various research has been carried on the facial expression and emotion recognition. Emotion detection has extended applications. It is not merely related to any specific field nut instead the approach ranges from communication, advertising to hospital requisition and many more. To exist collective mechanisms through which we can accomplish the process of facial emotion recognition. In this paper we are using Convolutional Neural Network for the implementation. Upon exploring numerous datasets for the procedure of experiment we have chosen to go with Kaggle dataset

Fibroblast growth factors 1 and 2 in cerebrospinal fluid are associated with HIV disease, methamphetamine use, and neurocognitive functioning.

BackgroundHuman immunodeficiency virus (HIV) and methamphetamine use commonly affect neurocognitive (NC) functioning. We evaluated the relationships between NC functioning and two fibroblast growth factors (FGFs) in volunteers who differed in HIV serostatus and methamphetamine dependence (MAD).MethodsA total of 100 volunteers were categorized into four groups based on HIV serostatus and MAD in the prior year. FGF-1 and FGF-2 were measured in cerebrospinal fluid by enzyme-linked immunosorbent assays along with two reference biomarkers (monocyte chemotactic protein [MCP]-1 and neopterin). Comprehensive NC testing was summarized by global and domain impairment ratings.ResultsSixty-three volunteers were HIV+ and 59 had a history of MAD. FGF-1, FGF-2, and both reference biomarkers differed by HIV and MAD status. For example, FGF-1 levels were lower in subjects who had either HIV or MAD than in HIV- and MAD- controls (P=0.003). Multivariable regression identified that global NC impairment was associated with an interaction between FGF-1 and FGF-2 (model R(2)=0.09, P=0.01): higher FGF-2 levels were only associated with neurocognitive impairment among subjects who had lower FGF-1 levels. Including other covariates in the model (including antidepressant use) strengthened the model (model R(2)=0.18, P=0.004) but did not weaken the association with FGF-1 and FGF-2. Lower FGF-1 levels were associated with impairment in five of seven cognitive domains, more than FGF-2, MCP-1, or neopterin.ConclusionThese findings provide in vivo support that HIV and MAD alter expression of FGFs, which may contribute to the NC abnormalities associated with these conditions. These cross-sectional findings cannot establish causality and the therapeutic benefits of recombinant FGF-1 need to be investigated

N′-[Bis(benzyl­sulfan­yl)methyl­idene]-4-meth­oxy­benzohydrazide

In the title compound, C23H22N2O2S2, the dihedral angles between the 4-meth­oxy-substituted phenyl ring and the other two phenyl rings are 84.4 (4) and 77.7 (1)°, respectively, while the dihedral angle between the two phenyl rings is 57.5 (2)°. The amino group is not involved in an N—H hydrogen bond. The crystal packing is established by inter­molecular C—H⋯O packing inter­actions involving a relatively rare weak three-center hydrogen bond between the keto O atom and H atoms of the two nearby phenyl rings, which link the mol­ecules into chains running along the a axis. Additional weak inter­molecular hydrogen-bond inter­actions between the 4-meth­oxy O atom and one of the phenyl rings and provide added stability to the crystal packing

The usefulness of a new rapid diagnostic test, the First Response® Malaria Combo (pLDH/HRP2) card test, for malaria diagnosis in the forested belt of central India

<p>Abstract</p> <p>Background</p> <p>Malaria presents a diagnostic challenge in tribal belt of central India where two Plasmodium species, <it>Plasmodium falciparum </it>and <it>Plasmodium vivax</it>, are prevalent. In these areas, rapid detection of the malaria parasites and early treatment of infection remain the most important goals of disease management. Therefore, the usefulness of a new rapid diagnostic (RDT), the First Response^®Combo Malaria Ag (pLDH/HRP2) card test was assessed for differential diagnosis between <it>P. falciparum </it>with other Plasmodium species in remote villages of Jabalpur district.</p> <p>Methods</p> <p>A finger prick blood sample was collected to prepare blood smear and for testing with the RDT after taking informed consent. The figures for sensitivity, specificity, accuracy and predictive values were calculated using microscopy as gold standard.</p> <p>Results</p> <p>Analysis revealed that overall, the RDT was 93% sensitive, 85% specific with a positive predictive value (PPV) of 79%, and a negative predictive value (NPV) of 95%. The accuracy 88% and J-index was 0.74. For <it>P. falciparum</it>, the sensitivity and specificity of the test were 96% and 95% respectively, with a PPV of 85% and a NPV of 99%. The RDT accuracy 95% and J-index was 0.84. For non-falciparum malaria, the sensitivity, specificity and accuracy were 83%, 94% and 92% respectively with a PPV of 69% and a NPV of 97%.</p> <p>Conclusion</p> <p>The RDTs are easy to use, reliable and simple to interpret. RDTs are more suited to health workers in situations where health services are deficient or absent. Therefore, the test can be used as an epidemiological tool for the rapid screening of malaria.</p