46 research outputs found

    Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook

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    We describe the effect of social media advertising content on customer engagement using data from Facebook. We content-code 106,316 Facebook messages across 782 companies, using a combination of Amazon Mechanical Turk and natural language processing algorithms. We use this data set to study the association of various kinds of social media marketing content with user engagement—defined as Likes, comments, shares, and click-throughs—with the messages. We find that inclusion of widely used content related to brand personality—like humor and emotion—is associated with higher levels of consumer engagement (Likes, comments, shares) with a message. We find that directly informative content—like mentions of price and deals—is associated with lower levels of engagement when included in messages in isolation, but higher engagement levels when provided in combination with brand personality–related attributes. Also, certain directly informative content, such as deals and promotions, drive consumers’ path to conversion (click-throughs). These results persist after incorporating corrections for the nonrandom targeting of Facebook’s EdgeRank (News Feed) algorithm and so reflect more closely user reaction to content than Facebook’s behavioral targeting. Our results suggest that there are benefits to content engineering that combines informative characteristics that help in obtaining immediate leads (via improved click-throughs) with brand personality–related content that helps in maintaining future reach and branding on the social media site (via improved engagement). These results inform content design strategies. Separately, the methodology we apply to content-code text is useful for future studies utilizing unstructured data such as advertising content or product reviews

    Expiry Prediction and Reducing Food Wastage using IoT and ML

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    This paper details development of a low-cost, small-size, and portable electronic nose (E-nose) for the prediction of the expiry date of food products. The Sensor array is composed of commercially available metal oxide semiconductors sensors like MQ2 sensor, temperature sensor, and humidity sensor, which were interfaced with the help of ESP8266 and Arduino Uno for data acquisition, storage, and analysis of the dataset consisting of the odor from the fruit at different ripening stages. The developed system is used to analyze gas sensor values from various fruits like bananas and tomatoes. Responding signals of the e-nose were extracted and analyzed. Based on the obtained data we applied a few machine learning algorithms to predict if a banana is stale or not. Logistic regression, Decision Tree Classifier, Support Vector Classifier (SVC) & K-Nearest Neighbours (KNN) classifiers were the binary classification algorithms used to determine whether the fruit became stale or not. We achieved an accuracy of 97.05%. These results prove that e-nose has the potential of assessing fruits and vegetable freshness and predict their expiry date, thus reducing food wastage

    Profile of Pediatric Kidney Transplantation at a Tertiary Care Centre in Southern India

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    Introduction: Renal transplantation offers the best chance of survival to children with End Stage Renal Disease (ESRD). Patient survival and growth are superior in children with a renal allograft compared to dialysis. The aim of the study was to evaluate the outcomes of pediatric transplants done at a tertiary care hospital in Kochi, India over the study period.Materials and Methods: In this retrospective study, the data of children who underwent renal transplantation at Amrita Institute of Medical Sciences from 2002 to 2016 Kochi were analyzed.Results: Thirty-four children underwent renal transplantation over a 14-year period. Thirty-three underwent live related transplant whereas one underwent deceased donor transplantation. The mean age and weight of the recipients at transplantation was 14.3 years and 35.7 kg, respectively. Fourteen children were boys and twenty were girls. Thirty-one patients underwent hemodialysis prior to transplant, 2 were taken up preemptively, and 1 patient was on continuous ambulatory peritoneal dialysis. There were 5 documented urinary tract infections. No surgical complications were noted in the immediate post-transplant period. There were 5 episodes of acute rejection (14.7%). Two cases experienced Delayed Graft Function and the patient survival rate was 100%.Conclusions: Renal transplantation is a viable option to manage children with ESRD with satisfactory long term results and can be done in a developing nation’s set-up. Keywords: Kidney transplantation; India; Child

    IMPACT-Global Hip Fracture Audit: Nosocomial infection, risk prediction and prognostication, minimum reporting standards and global collaborative audit. Lessons from an international multicentre study of 7,090 patients conducted in 14 nations during the COVID-19 pandemic

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    Toward a Phenomenology of Film Production

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    A 36-year-old man with vomiting, pain abdomen, significant weight loss, hyponatremia, and hypoglycemia

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    Diagnosis of Strongyloides stercoralis hyperinfection can be a challenge. The key to a timely diagnosis is to have a high index of suspicion. We present a rare case of a 36-year-old human immunodeficiency virus negative male patient, who was on multidrug therapy for lepromatous leprosy and was treated for type 2 lepra reactions with steroids in the past. The patient presented with vomiting and pain abdomen, persistent hyponatremia, and terminal hypoglycemia. He had features of malnutrition and had a rapid downhill course following admission. A diagnosis of S. stercoralis hyperinfection with sepsis and multiorgan failure, adrenal hemorrhage, and syndrome of inappropriate antidiuretic hormone secretion was established on a postmortem examination

    Impact of renal transplant on gonadal function

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    Objectives: We aimed at creating a clinical profile of end-stage renal disease patients' gonadal function and assessing the impact of renal transplant on gonadal dysfunction. We studied the influence of age, vascular anastomosis, dialysis vintage, and immunosuppression on sexual dysfunction. Materials and Methods: Twenty adults were included. Hormones (luteinizing hormone [LH], follicle-stimulating hormone [FSH], testosterone, prolactin (PRL), and estrogen), menstrual history and International Index of Erectile Function (IIEF)-5 questionnaires were assessed before and after renal transplantation. Hormone evaluation was done by chemiluminescent microparticle immunoassay technology. Results: Seventeen patients were male and three patients were female. Native kidney diseases were chronic glomerulonephritis (10%), IgA nephropathy (20%), autosomal dominant polycyctic kidney disease (5%), diabetic nephropathy (5%), focal segmental glomerulosclerosis (5%), renal calculus disease (5%), membranous nephropathy (5%), and pauci-immune vasculitis (5%). Fifteen males had erectile dysfunction (ED) before transplant. Eleven patients showed an increase and six patients showed a decrease in IIEF scores posttransplantation. Statistically significant changes were observed in the mean levels of testosterone, LH, PRL, and FSH. Age at transplant showed a negative correlation with IIEF score. In five patients with an end to side anastomosis to the external iliac artery, all had an increase in IIEF score posttransplant. In 12 patients with an end to end anastomosis to the internal iliac artery, 5 patients (42%) had a decrease in IIEF score posttransplant. Conclusions: Incidence of ED was 88% in our study. About 65% patients showed an increase in IIEF score posttransplantation. Increasing age at the time of transplant was a significant risk factor for the presence of ED. Renal transplantation corrected hormonal abnormalities in men. About 100% of patients with an end to side arterial anastomosis showed improvement in IIEF scores. There was no effect of dialysis vintage and immunosuppression regimes on sexual dysfunction
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