QFlow lite dataset: A machine-learning approach to the charge states in quantum dot experiments

Over the past decade, machine learning techniques have revolutionized how research is done, from designing new materials and predicting their properties to assisting drug discovery to advancing cybersecurity. Recently, we added to this list by showing how a machine learning algorithm (a so-called learner) combined with an optimization routine can assist experimental efforts in the realm of tuning semiconductor quantum dot (QD) devices. Among other applications, semiconductor QDs are a candidate system for building quantum computers. The present-day tuning techniques for bringing the QD devices into a desirable configuration suitable for quantum computing that rely on heuristics do not scale with the increasing size of the quantum dot arrays required for even near-term quantum computing demonstrations. Establishing a reliable protocol for tuning that does not rely on the gross-scale heuristics developed by experimentalists is thus of great importance. To implement the machine learning-based approach, we constructed a dataset of simulated QD device characteristics, such as the conductance and the charge sensor response versus the applied electrostatic gate voltages. Here, we describe the methodology for generating the dataset, as well as its validation in training convolutional neural networks. We show that the learner's accuracy in recognizing the state of a device is ~96.5 % in both current- and charge-sensor-based training. We also introduce a tool that enables other researchers to use this approach for further research: QFlow lite - a Python-based mini-software suite that uses the dataset to train neural networks to recognize the state of a device and differentiate between states in experimental data. This work gives the definitive reference for the new dataset that will help enable researchers to use it in their experiments or to develop new machine learning approaches and concepts.Comment: 18 pages, 6 figures, 3 table

A RANDOMISED DOUBLE-BLIND CLINICAL STUDY TO EVALUATE AND COMPARE THE EFFECTS OF VRIDDADARU RASAYANA WITH BHARGAVAPROKTA RASAYANA ON AGEING IN APPARENTLY HEALTHY ELDERLY SUBJECTS

According to estimation, India currently has 6.7% over 65 years of age, which is expected to increase to 20% by the year 2050. As growing old is a part of the life cycle, the effect of time is bound to happen and is unavoidable. The Kalajajara is a Swabhavika vyadhi, wherein, it is clearly mentioned that Swabhava balapravritta vyadhis being Yapya, can be managed through Bhojana, Paana, and Rasayana. Vriddadaru Rasayana is one such Rasayana mentioned in Gadanigraha especially for the elderly to promote healthy ageing and helping to prevent old age problems. Aims and objectives: To assess the effect of Vriddadaru Rasayana in improving the general body health and quality of life in the apparently healthy elderly subjects. Methodology– A Randomized double blind clinical study where 20 healthy elderly subjects were administered with Vriddadaru Rasayana for a period of 12 weeks. Observations and Results- Vriddadaru rasayana showed improvement in Ayurvedic parameters like Twakparushata, Slataasti, Slata sandhi, Utasahahani and Parakramahani but when compared with regard to objective parameters Vriddadaru rasayana showed significant values in DHEAS levels and 6MWT. Conclusion: Vriddadaru does Vatashamana, balancing the Doshas, increasing the Utsaha and Parakrama and helps in improving the Agni thus helping in Dhatuposhana in the elderly

Usage pattern of Library Resources and Services by the Students and Faculty Members of B.Ed Colleges Affiliated to Kuvempu University

This study explores user perception, the use of an academic library, and the correlation between user perception and library use. The findings indicate that the B.Ed College library is a preferred place to study and spend time during non-class times on campus. The frequent user activities in the library included individual study, reading, computer use, finding information, group study, using reference and information services, and meeting and socializing. The correlation between library use and each of the user activities was examined. The findings suggest that users perceive the B.Ed College library primarily as a place for learning and information seeking. The study shows how users perceive and use the library, and provides insights into how libraries can strengthen their place and advance their role in the academic community

Assessment of Pesticide Use in Major Vegetables From Farmers\u27 Perception and Knowledge in Dhading District, Nepal

A field study was carried out to assess the pesticide use status in major vegetable crops from farmers\u27 perception and knowledge in Dhading, Nepal in 2019. Field study was carried with 100 commercial farmer\u27s using semi-structure questionnaire by face to face interview. This study was analyzed by categorization of farmers into small holder (51) and large holder (49) groups on the basis of mean area of vegetable cultivation (6.48 ropani). The highest amount of pesticides is needed in tomato in both large holders and small holders according to the farmer\u27s experience. Among the study farmer\u27s, 41% of them spray the pesticides by making a cocktail or mixed method and 56%  follow the waiting period of 3-5 days in both of the cases. A significant positive correlation was found at 5% level of significance between the knowledge and practice pattern of waiting period of the pesticides and negative correlation was found between the Personal Protective equipment score and health hazard score. Headache was the major health hazards faced by the farmers which was higher in small holders (66.7%) as compared to the large holders (46.9%). Mask was the most used PPE by the farmer\u27s i.e. by 83% in overall. Fourty three percent of the farmer\u27s throw the pesticide containers in secret place after using of it.The use of PPE was seen lower in small holders as compared to the large holders. This study reveals the necessities of suitable program and policies regarding the knowledge, safe handling and use of pesticide among the farmer\u27s level

COMBINATION OF MOMORDICA CHARANTIA AND PHYLLANTHUS AMARUS FOR HEPATOPROTECTIVE ACTIVITY IN ETHANOL AND ANTI-TUBERCULAR DRUGS INDUCED HEPATOTOXICITY IN RATS

Objective: To evaluate the synergistic protective effect of Momordica charantia and Phyllanthus amarus combination (MC+PA) of doses 200 and 400 mg/kg on the liver in different experimental models of hepatotoxicity. Methods: The hepatoprotective activity was evaluated in ethanol and anti-tubercular drugs (isoniazid-INH, rifampicin-RIF) induced hepatotoxicity models. Hepatotoxicity in both models was induced to all groups except the normal control. Intoxicated rats were treated with silymarin and various doses of MC+PA for 8 d in ethanol-induced and 21 d in INH+RIF induced hepatotoxicity models. At the completion of study, the biochemical markers and the anti-oxidant status (SOD and MDA) were measured and also the histopathological evaluation of the liver tissue was carried out. Results: Combination therapy remarkably reduced the elevated profile of the biochemical markers and thereby improved the anti-oxidant status, thus exhibiting the synergistic hepatoprotective effect when compared with the positive control group (p<0.001). Histopathological evaluation demonstrated that MC+PA decreased the liver damage significantly in comparison with the positive group. Conclusion: The current work suggests that the combined extract showed synergistic effects on ethanol and anti-tubercular drugs induced hepatotoxicity models by significantly decreasing the liver damage

A rare case of bilateral bifid ribs: a case report

Bilateral bifid (bifurcation) rib is very rare malformation of thoracic wall. In this case, we observed variation involving right 6th and left 7th rib in 21 year female. The right 6th and 7th rib and its costal cartilage were bifurcated enclosing a small oval additional intercostal space

Comparing five equations to calculate estimated glomerular filtration rate to predict acute kidney injury following total joint arthroplasty.

BACKGROUND: Acute kidney injury (AKI) following total joint arthroplasty (TJA) is associated with increased morbidity and mortality. Estimated glomerular filtration rate (eGFR) is used as an indicator of renal function. The purpose of this study was (1) to assess each of the five equations that are used in calculating eGFR, and (2) to evaluate which equation may best predict AKI in patients following TJA. METHODS: The National Surgical Quality Improvement Program (NSQIP) was queried for all 497,261 cases of TJA performed from 2012 to 2019 with complete data. The Modification of Diet in Renal Disease (MDRD) II, re-expressed MDRD II, Cockcroft-Gault, Mayo quadratic, and Chronic Kidney Disease Epidemiology Collaboration equations were used to calculate preoperative eGFR. Two cohorts were created based on the development of postoperative AKI and were compared based on demographic and preoperative factors. Multivariate regression analysis was used to assess for independent associations between preoperative eGFR and postoperative renal failure for each equation. The Akaike information criterion (AIC) was used to evaluate predictive ability of the five equations. RESULTS: Seven hundred seventy-seven (0.16%) patients experienced AKI after TJA. The Cockcroft-Gault equation yielded the highest mean eGFR (98.6 ± 32.7), while the Re-expressed MDRD II equation yielded the lowest mean eGFR (75.1 ± 28.8). Multivariate regression analysis demonstrated that a decrease in preoperative eGFR was independently associated with an increased risk of developing postoperative AKI in all five equations. The AIC was the lowest in the Mayo equation. CONCLUSIONS: Preoperative decrease in eGFR was independently associated with increased risk of postoperative AKI in all five equations. The Mayo equation was most predictive of the development of postoperative AKI following TJA. The mayo equation best identified patients with the highest risk of postoperative AKI, which may help providers make decisions on perioperative management in these patients

Pattern of congenital malformations in newborn: a hospital-based study

Background: Data on congenital malformations from developing countries like India are very few. However, it is important to have comprehensive and reliable data on the description and frequency of congenital malformations to allow surveillance and the implementation of appropriate public health strategies for prevention and management. In this study, we describe the pattern of congenital malformations seen in newborns delivered in tertiary care hospital of western Maharashtra. The objective was to study various newborn characteristics and to determine the frequency and pattern of congenital malformations at birth. Cross-sectional study conducted in Govt Medical College and Hospital Miraj, a tertiary care hospital in district of Maharashtra from June 2014 to November 2014 targeting all newborns delivered in hospital during study period.Methods: Data was collected by administering a semi structured questionnaire and a devised newborn screening clinical examination protocol.Results: Out of all 892 newborns (live births and still births), 24(2.69%) were having congenital malformations at birth and out of that, malformations involving circulatory system was highest i.e. 29.6% compared to other system.Conclusions: As compared to other studies circulatory disorders appear to be more common and by improvement in antenatal, postnatal diagnosis, early referral to tertiary hospital and early intervention most of these newborns can be saved