319 research outputs found
Precision Health and AI: improving health for everyone - Arjun Panesar (DDM Health)
No full textThis video is the twelfth talk from our two day Future Blood Testing: Challenges & Opportunities Event that took place on the 14/09/2022.
Precision Health and AI: improving health for everyone - Arjun Panesar (DDM Health)
Bio: Arjun Panesar is the founder of DDM Health, providers of clinically-validated digital health solutions to over 1.8 million people. Benefiting from almost two decades of experience in big data, AI and AI ethics, Arjun leads the development of evidence-based digital innovations that harness the power of machine learning to provide precision medicine to patients, health services, and governments. Arjun’s work has received international recognition featuring in the Forbes, New Scientist, BBC and The Times. Arjun is a best-selling author on the topics of healthcare and AI, authoring two editions of Machine Learning and AI in Healthcare, and contributing to Handbook of Global Health, a major reference work. Arjun is an advisor to the Information School, University of Sheffield, Fellow to the NHS Innovation Accelerator, visiting lecturer at University of Warwick Medical School, and was recognised by Imperial College as an Alumni Leader for his contribution and impact to society.
Further details on this event can be found at: https://futurebloodtesting.org/event/13-14-09-2022/
This video is an output from the Future Blood Testing Network which is funded by EPSRC under Grant Number EP/W000652/1
YouTube Link: https://youtu.be/clPmdeLP5_
Financial Management of Globalization of Developing Countries
Full text linkhuman development, economic growth, globalization, inequality, poverty
Freedom of choice or force of circumstance? : Eastern European sex-workers in the Republic of Cyprus ; paper for the conference 'Alltag der Globalisierung. Perspektiven einer transnationalen Anthropologie', January 16-18, 2003, Institute of Cultural Anthropology and European Ethnology, Johann Wolfgang Goethe University, Frankfurt am Main
No full textThis paper focuses on Eastern European migrants who, since the beginning of the 1990s, are entering the Republic Cyprus as “artistes”. This is a visa permit status as well as an euphemism for short-term work permits in the local sex industry. In addition to exploring the migrational experiences of these women and their living and working conditions in the Republic of Cyprus, the paper reconstructs, empirically and analyt ically, the connection between immigration and the local sex industry. Here, several categories of social actors and institutions in Cyprus are actively involved. The rhetoric of government representatives, entrepreneurs and clients in the sex business on the one hand is contrasted with the discourse of local NGO representatives concerned with immigrants’ rights on the other hand. The paper comes to the conclusion that all of these discursive positions ultimately do not do justice to the complex process of decisionmaking that women undergo who migrate into the sex industry. Either, freedom of choice is emphasized – such as by entrepreneurs and the government – or the domination of women – as in the public statements of the NGO. In order to analyze the ambivalent tension between freedom of choice and submission to force by which the women’s decision is characterized, the author employs Michel Foucault’s concept of governmentality, which describes forms of political regulation that use the individual’s freedom of action as an instrument to exercise power
Fine-tuning generative models
No full textThis electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, 2019Cataloged from student-submitted PDF version of thesis.Includes bibliographical references (pages 73-76).Deep generative models have emerged as a powerful modeling paradigm for making sense of large amounts of unlabeled real-world data. In particular, the representations produced by these models have proven to be useful both in improving human understanding of the factors of variation in the original dataset and in downstream tasks such as classification. Most current algorithms, however, require training a bespoke model from scratch, which can be both expensive and time-consuming. Instead, we propose various methods of fine-tuning pre-trained generative models to achieve these goals, and evaluate these methods quantitatively on few-shot classification and interpretability tasks.by Arjun Khandelwal.M. Eng.M.Eng. Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Scienc
Hypophosphatemic rickets: A case of recurrent pathological fractures
No full textIntroduction: Renal phosphate-wasting disorders are the most common form of hereditary rickets and osteomalacia in western countries, but are rarely reported in India. Therefore, we report here a case of hypophosphatemic rickets. Aim and objective: To report a case of hypophosphatemic rickets presenting with recurrent pathological fractures. Material and Methods: A 34-year-old premenopausal lady presented with recurrent pathological fractures, bone pain, and muscle weakness since 14 years of age. A thorough history was taken followed by clinical examination, and relevant biochemical and radiological investigations were done. Results: Height was 125 cm, arm span 145 cm, body weight 30 kg, and body mass index (BMI) 19.2 kg/m. Dental caries, kyphoscoliosis, shortening of left lower limb, bilateral coxa vara deformity of knee, muscle weakness, and bone tenderness were present. Calcium was 9.4 mg/dL, phosphorus: 1.8 mg/dL, albumin: 4.0 gm/dL, alkaline phosphatase: 360 U/L, creatinine: 0.4 mg/dL, a normal ammonium chloride (NH 4 Cl) loading test,24-hour urine calcium excretion: 102 mg/day, 25-hydroxyvitamin D3 [25(OH)D3]: 21.6 ng/mL, intact parathyroid hormone (PTH): 43.74 pg/mL, fraction excretion of phosphate (PO4): 40%, tubular maximum reabsorption of phosphate per unit of glomerular filtrate (TmP/GFR): 0.65 mg/dL, and fibroblast growth factor (FGF)23: 321.4 RU/mL. Skeletal X-rays showed multiple old fractures and pseudofractures. Magnetic resonance imaging (MRI) of the whole body showed no evidence of tumor. Fludeoxyglucose ( 18 F)-positron emission tomography (FDG-PET) computed tomography (CT) scan revealed metabolically active marrow with multiple areas of fracture and FDG-avid lesions in both lungs but no CT-based findings. Conclusion: Hypophosphatemic rickets or osteomalacia, possibly hereditary, is a rare cause of recurrent pathological fractures
Profile of vitamin D in a cohort of physicians and diabetologists in Kolkata
No full textIntroduction: Vitamin D deficiency has been documented across all age groups and both sexes from India. However, there is paucity of data on vitamin D deficiency in a particular cohort of population. Objectives: To assess the vitamin D status in a cohort of physicians and diabetologists in Kolkata. Material and Methods: An observational cross sectional study carried out in the month of December 2011 in a cohort of 40 physicians and diabetologists in Kolkata. Results: A total of 40 subjects were studied. Mean age of the cohort was 52.22 ± 10.91.Mean serum vitamin D level was 13.02 ± 4.77 ng/ml. Nearly 92.5% and 5.0% of subjects had vitamin D deficiency and insufficiency, respectively. Conclusions : Vitamin D deficiency is highly prevalent in physicians and diabetologists in Kolkata
Improving parking garage efficiency using reservation optimization techniques
No full textParking in urban and suburban districts is becoming increasingly problematic due the information gap between the parking garages and the average commuter. This thesis describes and evaluates techniques that can be implemented by parking garages to augment parking garage efficiency. The issues studied in this thesis were i) Real-time tracking of car position ii) maximizing the number of reservations made for the parking garage by re-arrangement of existing reservations (Reservation Defragmentation) and iii) maximizing revenue for the parking garage through increased occupancy (Revenue Management). For the tracking problem, in order to be able to track the real-time position of the vehicle inside the parking garage, we have proposed two techniques. The first one involves a high accuracy algorithm that takes as input a higher number of sensor values (high accuracy) and the second one is a lower cost algorithm that takes as input fewer number of sensor values (low cost). We simulated various conditions of sensor failure rate and determined our metric to be number of tracked points as a percentage of the path to the destination. We determined limitations of these algorithms with respect to maximum speed of cars and inter-car distance. For the reservation defragmentation problem, we looked at increasing occupancy efficiency for i) Next day reservations and ii) Current day reservations. For this problem, we implemented three algorithms. For next day reservations, we established metrics to determine the efficiency of the algorithm including number of free parking spots created and reduction in lengths of free space in between the reservations. For current day reservations, our metric was the increase in maximum occupancy observed due to defragmentation. For increased revenue management, we suggested the application of two techniques: Booking limits and Overbooking. In booking limits, two-fare class of parking was suggested and the number of spots that need to be reserved for higher class (Capacity of garage - booking limit) was determined for probability distributions of customer arrival such as Poisson distribution. Since the practice of overbooking is done in order to compensate for the no-shows that occur despite reservations made, we have suggested an algorithm to determine the amount of overbooking based on a Gaussian distribution of customer ‘no-shows’. We obtained the following results for the algorithms implemented. In case of the tracking algorithm, as the sensor failure rate increased, the inaccuracy of the two proposed algorithms also increased. For 2% failure rate, we track 0.4% of the incoming cars inaccurately (given that a tracking is marked as correct if 75% or less of all sensors along the path of the car fail). In case of reservation defragmentation, we obtained best results for Recursive First-Fit algorithm. For next day reservation defragmentation, using a mean of 15% cancellation of reservations resulted in 14.6% decrease in occupied parking spots which can then lead to increased occupancy and 46.3% decrease in inter-reservation free space sizes for a 1000 arrival reservation system. The reservations were exponentially distributed with a mean of 20 reservations/hour. For current day reservations, we were able to increase maximum occupancy of the parking garage by 5.5% using Recursive First Fit algorithm. Among other conditions, we have evaluated Poisson arrival distribution with corporate arrival rate 100 cars/hour (Flintsch et al., 2006) [56] and corporate fare twice of leisure fare. For this condition, protection level (number of parking slots reserved for corporate class) is determined to be 20% of garage capacity. We also evaluated Binomial distribution with probability of incoming customer to be corporate customer as 0.5 and corporate fare twice of leisure fare. For this condition, protection level is determined to be 50% of garage capacity. We evaluated overbooking for several combinations of No-show rates, mean and standard deviation values and the highest amount of overbooking we obtained was 1.93 times maximum garage capacity and this implies that permitting this number of reservations for the parking garage would minimize the number of parking spots being under-utilized and increase the revenue of the parking garage operator due to effective use of parking spots. The algorithms have been simulated for different arrival distributions (for Revenue Management), different arrival rates (tracking) as well as variable durations of stay (reservation defragmentation). Besides the problems mentioned, there are certain other aspects, such as generalizing the tracking algorithms for parking garages of arbitrary layouts represents the work that needs to be done in the future.M.S.Includes bibliographical referencesby Arjun Ra
Association of Thyroid Dysfunction with Metabolic Syndrome: A Real-world Study
Full text linkObjective: Objective of this study was to determine the prevalence of thyroid dysfunction in metabolic syndrome and to find out the association of thyroid dysfunction and metabolic syndrome.Material and methods: In this retrospective observational real word study 110 consecutive patients with metabolic syndrome criteria were included. Detailed history including medications, and anthropometric measurements were collected in a semi-structured proforma.Result: In this study, prevalence of thyroid dysfunction in metabolic syndrome patients is 20%. Thyroid dysfunction is more common in female (58.18%) than male (41.82%) with metabolic syndrome. Among the thyroid dysfunction patients 3.6% and 16.4% had overt hypothyroidism and subclinical hypothyroidism respectively. No patients had either subclinical hyperthyroidism or overt hyperthyroidism. A significant negative correlation between T4 and waist circumference (r=-0.169; p=0.05) and a positive correlation between TSH and waist circumference (r=0.189; p=0.042) was found.Conclusion: Thyroid dysfunction is prevalent in metabolic syndrome and more common in female. Subclinical hypothyroidism is the most common thyroid dysfunction in metabolic syndrome patients. There is a significant negative correlation between T4 and waist circumference and a significant positive correlation between TSH and waist circumference
Effect of early addition of hydroxychloroquine in type 2 diabetic patients inadequately controlled on metformin and sulfonylurea combination therapy
Full text linkBackground: Present study assessed the effect of early addition of hydroxychloroquine to metformin and sulfonylurea in inadequately controlled T2DM patients as compared to up titration of the metformin or sulfonylurea (glimepiride) doses.Methods: Patients with glycated haemoglobin (HbA1c) between ≥7.0 to ≤9.0% and on metformin 1000mg/day and glimepiride 2mg/day for at least 12 weeks were analysed for this study. Patients were randomized into three groups, in one group (n=55) metformin dose was up titrated to 2000mg daily and in second group (n=55) hydroxychloroquine (HCQ) 400mg was added along with other and in third group (n=55) glimepiride dose was up titrated to 4mg. Fasting plasma glucose (FPG), post prandial plasma glucose (PPG) and glycated haemoglobin (HbA1c) were measured at baseline and after 12 and 24 weeks. Low density lipoprotein cholesterol (LDL-C), high density lipoprotein cholesterol (HDL-C) and Triglyceride were measured at baseline and after 6 months. Authors have analysed the data of 150 patients as rest were either lost in follow up or discontinue therapy.Results: After 24 weeks, the mean HbA1c was 6.5% in hydroxychloroquine group (p<0.001) versus 6.8% in metformin 2000mg group (p<0.001) and 6.7% in glimepiride 4mg group (p<0.001). There was also a modest reduction in lipid parameters (p<0.001) with no change in serum creatinine level and a marginal reduction in body weight in the HCQ group. Incidence of confirmed hypoglycemia was significantly lower in patients of HCQ group compared to glimepiride group in this study.Conclusions: Hydroxychloroquine as add on to metformin and glimepiride combination during the early course of treatment helps in achieving glycaemic target and can consider as an option rather up titrating the dose of metformin or glimepiride
Raw data for "Activation of oligonucleotide polyanions using collisions, electrons and photons in a timsOmni platform"
No full textRaw mass spectral data used to prepare the figures of the article "Activation of oligonucleotide polyanions using collisions, electrons and photons in a timsOmni platform", by Frédéric Rosu,1 Rim Chiba,1 Arjun Mani Mallika,1 Athanasios Smyrnakis,2 Jean-François Greisch,3 Dimitris Papanastasiou,2 Valérie Gabelica1*
1 School of Pharmaceutical Sciences, University of Geneva, 1205 Geneva, Switzerland.
2 Fasmatech Science & Technology, 15232 Chalandri, Athens, Greece.
3 Bruker Switzerland AG, 8117 Fällanden, Switzerland.
* Corresponding author: [email protected]
The data is organized by Table or Figure number as in the manuscript main text and supporting information
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