Comparison of health supplement on strength, stamina and growth of rats

Background: Children require more nutrition as organs grow fast in this age group. Due to abundance of various commercial health supplements in market, parents are often confused about selection of health supplements. Traditional foods are rich source of various nutrients required by growing children. We conducted a study to compare strength, stamina and growth enhancing ability of commercial health supplement and natural health supplement on wistar rats.Methods: Total of 24 wistar rats were included. Animals were divided in four groups. Each group of rats except control group were receiving health supplements. Group I, group II, group III and group IV were receiving health supplement I, health supplement II, natural health supplement and no health supplement (control group) for 60 days. Strength and stamina of wistar rats in each group were analysed using grip strength meter and swim stress test, growth of rats in each group were analysed by measuring body length, tail length and body weight. Group of rat showing maximum growth (body length, tail length and body weight), strength and stamina were analysed.Results: Group II rats showed greater strength and stamina followed by group I, group III and group IV respectively. Group I rats showed maximum growth followed by group II, group III and group IV respectively.Conclusions: In the current study we found that strength and stamina were greater in group II rats followed by group I, group III and group IV respectively also group I rats showed maximum growth  followed by group II, group III and group IV respectively

Management of urinary tract infections in children: antimicrobial sensitivity pattern, efficacy and pharmacoeconomics

Background: Urinary tract infections are commonly seen in febrile children, high incidence of Vesico Ureteral Reflux (VUR) is frequently seen in paediatric patient which is of concern as it may lead to renal scarring. Despite presence of established clinical guidelines there is disparity amongst physician in the diagnosis and treatment of UTI, some physician prescribes taking into consideration the symptoms, some prescribe on the basis of smell and colour and some rely on urine culture and sensitivity report. There is dearth of studies in many tertiary health care centers regarding antimicrobial use. Authors conducted this study to evaluate antimicrobial sensitivity pattern, efficacy and cost effectiveness of antimicrobials used for UTI in children.Methods: Patients of urinary tract infection <13 years of age were included in the study. Symptoms of patient i.e. pain in abdomen, haematuria, increased frequency of urination and degree of fever were recorded. Efficacy was measured through calculating degree of defervescence per hour. Cost effective model was prepared by calculating cost effective ratio i.e. dividing cost of antimicrobial required to bring down the fever and degree through which fever came down.Results: E. coli was the most common pathogen isolated from urine positive culture (69.07%). Nitrofurantoin has shown highest sensitivity to all uropathogens (72.73%). Cotrimoxazole, ciprofloxacin and nitrofurantoin were found to be most cost effective.Conclusions: In this current study authors found E coli is the most common uropathogen isolated. Ceftriaxone, cefixime, cotrimoxazole and amikacin were found to be most efficacious. Cotrimoxazole, ciprofloxacin and nitrofurantoin were found to be most cost effective

Cost effective analysis of tab. nitrofurantoin vs. inj. ceftriaxone as an empirical therapy in patients of urinary tract infection at a tertiary health care centre

Background: Urinary tract infections (UTI) are commonly seen in adults, Urinary tract infection and asymptomatic bacteriuria in adults are a significant health care burden. In a developing country it is necessary to minimize the cost of therapy while giving maximum health benefits to the patient. Appropriate antimicrobial selection is clearly important, as treatment failures will increase the cost of care and result in additional morbidity for patients. Empirical treatment of urinary tract infection is common at tertiary health care center, authors conducted a pharmacoeconomic study to evaluate cost effectiveness of the empirical treatment.Methods: Patients with similar symptoms suffering from UTI were divided into 5 groups with 10 patients in each group. Each group was subdivided into two subgroups with subgroup A having five patients receiving tab nitrofurantoin and subgroup B having 5 patients receiving inj ceftriaxone. Out of the total cost of therapy, percentage of cost attributed to tab nitrofurantoin was compared with inj ceftriaxone. Most cost-effective antibiotic was analysed. Average number of admission days for groups of UTI patients receiving tab nitrofurantoin and inj ceftriaxone were calculated and compared. Group of UTI patients receiving antibiotic with least number of admission days was calculated.Results: Percentage of cost attributed to Nitrofurantoin therapy out of total cost in urinary tract infection patient was less than percentage of cost attributed to inj Ceftriaxone in all five groups of patients and was found to be statistically significant (p 0.05).Conclusions: In current study authors found tab nitrofurantoin to be more cost effective than inj ceftriaxone as an empirical therapy in UTI patients

Characterization from Diesel and Renewable Fuel Engine Exhaust: Particulate Size/Mass Distributions and Optical Properties

Combustion of fossil fuel produces emissions and is one of the major environmental problems leading to climate change. Diesel engines are highly efficient but produce particulate emissions. These particulate emissions are considered dangerous to human health because inhaling particulates may cause respiratory and heart disease. Substituting fossil diesel fuel with renewable diesel fuel and using diesel particulate filters is one possibility to meet stringent legislative requirements. With this motivation, the present experimental investigation aimed to evaluate the particle size distribution (PSD), optical properties of particulate matter (PM) emitted, and the outcome of using an after-treatment system comprising of a diesel particle filter (DPF). This investigation aimed to make a comparative analysis of particulate emission upstream and downstream of the DPF with and without ultraviolet (UV) light (405\ua0nm and 781\ua0nm wavelength) turned on/off. Experiments were performed at (a) engine idle with a torque of 6 Nm at 750\ua0rpm, IMEP of 1.35\ua0bar and power of 0.5\ua0kW, (b) engine at part load with a torque of 32 Nm at 1200\ua0rpm, IMEP of 8.5\ua0bar and power of 4.5\ua0kW. Diesel engine was operated on two fuels (a) Diesel and (b) EHR7. Results showed that as and when UV light was turned on, a distinct nucleation mode that dominated the number concentration for both test fuels were observed. Downstream of the filter had relatively higher AAE values which show the contribution to climate change. Present experimental research is important for renewable fuel industries, industrial innovation\u27s future, and the exhaust gas after-treatment system (EATS) community. The results contribute to knowledge for occupational exposure, human health, and the environment

Coarse race data conceals disparities in clinical risk score performance

Healthcare data in the United States often records only a patient's coarse race group: for example, both Indian and Chinese patients are typically coded as ``Asian.'' It is unknown, however, whether this coarse coding conceals meaningful disparities in the performance of clinical risk scores across granular race groups. Here we show that it does. Using data from 418K emergency department visits, we assess clinical risk score performance disparities across granular race groups for three outcomes, five risk scores, and four performance metrics. Across outcomes and metrics, we show that there are significant granular disparities in performance within coarse race categories. In fact, variation in performance metrics within coarse groups often exceeds the variation between coarse groups. We explore why these disparities arise, finding that outcome rates, feature distributions, and the relationships between features and outcomes all vary significantly across granular race categories. Our results suggest that healthcare providers, hospital systems, and machine learning researchers should strive to collect, release, and use granular race data in place of coarse race data, and that existing analyses may significantly underestimate racial disparities in performance.Comment: The first two authors contributed equally. Under revie

Studies on Dibenzylamines as Inhibitors of Venezuelan Equine Encephalitis Virus

Alphaviruses are arthropod-transmitted members of the Togaviridae family that can cause severe disease in humans, including debilitating arthralgia and severe neurological complications. Currently, there are no approved vaccines or antiviral therapies directed against the alphaviruses, and care is limited to treating disease symptoms. A phenotypic cell-based high-throughput screen was performed to identify small molecules that inhibit the replication of Venezuelan Equine Encephalitis Virus (VEEV). The compound, 1-(2,3-dihydrobenzo[b][1,4]dioxin-6-yl)-N-(3-fluoro-4-methoxybenzyl)ethan-1-amine (1), was identified as a highly active, potent inhibitor of VEEV with an effective concentration for 90% inhibition of virus (EC90) of 0.89 μM and 7.49 log reduction in virus titers at 10 μM concentration. These data suggest that further investigation of compound 1 as an antiviral therapeutic against VEEV, and perhaps other alphaviruses, is warranted. Experiments suggested that the antiviral activity of compound 1 is directed at an early step in the VEEV replication cycle by blocking viral RNA and protein synthesis

Open X-Embodiment:Robotic learning datasets and RT-X models

Large, high-capacity models trained on diverse datasets have shown remarkable successes on efficiently tackling downstream applications. In domains from NLP to Computer Vision, this has led to a consolidation of pretrained models, with general pretrained backbones serving as a starting point for many applications. Can such a consolidation happen in robotics? Conventionally, robotic learning methods train a separate model for every application, every robot, and even every environment. Can we instead train "generalist" X-robot policy that can be adapted efficiently to new robots, tasks, and environments? In this paper, we provide datasets in standardized data formats and models to make it possible to explore this possibility in the context of robotic manipulation, alongside experimental results that provide an example of effective X-robot policies. We assemble a dataset from 22 different robots collected through a collaboration between 21 institutions, demonstrating 527 skills (160266 tasks). We show that a high-capacity model trained on this data, which we call RT-X, exhibits positive transfer and improves the capabilities of multiple robots by leveraging experience from other platforms. The project website is robotics-transformer-x.github.io

Mortality and pulmonary complications in patients undergoing surgery with perioperative SARS-CoV-2 infection: an international cohort study

Background: The impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) on postoperative recovery needs to be understood to inform clinical decision making during and after the COVID-19 pandemic. This study reports 30-day mortality and pulmonary complication rates in patients with perioperative SARS-CoV-2 infection. Methods: This international, multicentre, cohort study at 235 hospitals in 24 countries included all patients undergoing surgery who had SARS-CoV-2 infection confirmed within 7 days before or 30 days after surgery. The primary outcome measure was 30-day postoperative mortality and was assessed in all enrolled patients. The main secondary outcome measure was pulmonary complications, defined as pneumonia, acute respiratory distress syndrome, or unexpected postoperative ventilation. Findings: This analysis includes 1128 patients who had surgery between Jan 1 and March 31, 2020, of whom 835 (74·0%) had emergency surgery and 280 (24·8%) had elective surgery. SARS-CoV-2 infection was confirmed preoperatively in 294 (26·1%) patients. 30-day mortality was 23·8% (268 of 1128). Pulmonary complications occurred in 577 (51·2%) of 1128 patients; 30-day mortality in these patients was 38·0% (219 of 577), accounting for 81·7% (219 of 268) of all deaths. In adjusted analyses, 30-day mortality was associated with male sex (odds ratio 1·75 [95% CI 1·28–2·40], p\textless0·0001), age 70 years or older versus younger than 70 years (2·30 [1·65–3·22], p\textless0·0001), American Society of Anesthesiologists grades 3–5 versus grades 1–2 (2·35 [1·57–3·53], p\textless0·0001), malignant versus benign or obstetric diagnosis (1·55 [1·01–2·39], p=0·046), emergency versus elective surgery (1·67 [1·06–2·63], p=0·026), and major versus minor surgery (1·52 [1·01–2·31], p=0·047). Interpretation: Postoperative pulmonary complications occur in half of patients with perioperative SARS-CoV-2 infection and are associated with high mortality. Thresholds for surgery during the COVID-19 pandemic should be higher than during normal practice, particularly in men aged 70 years and older. Consideration should be given for postponing non-urgent procedures and promoting non-operative treatment to delay or avoid the need for surgery. Funding: National Institute for Health Research (NIHR), Association of Coloproctology of Great Britain and Ireland, Bowel and Cancer Research, Bowel Disease Research Foundation, Association of Upper Gastrointestinal Surgeons, British Association of Surgical Oncology, British Gynaecological Cancer Society, European Society of Coloproctology, NIHR Academy, Sarcoma UK, Vascular Society for Great Britain and Ireland, and Yorkshire Cancer Research