Balancing Justice Needs and Private Property in Constitutional Takings Provisions: A Comparative Assessment of India, Australia, and the United States

This Article explores the relationship between justice needs and private property in the constitutional takings provisions of the Indian, Australian, and American constitutions. Building upon established scholarship, it develops a theoretical framework within which to consider the way in which a state balances the requirement to provide minimal levels of justice for its citizens through the re-distribution of goods and resources with the need to protect the private property of individuals. We summarize this framework in what we refer to as the “Justice Needs-Protection of Private Property Continuum.” Using the framework developed, the Article provides an outline of the takings provisions found in the Indian, Australian, and American constitutions. Part I examines Article 300A of the Constitution of India, which contains the scope of the power of compulsory acquisition exercised by the Indian state. Part II assesses Section 51(xxxi) of the Australian Constitution which, unlike its American and Indian counterparts, operates as both a grant of power to the federal government, as well as a limitation imposed upon that power, which may, it seems, operate so as to provide some minimal protection for individual private property interests. Part III considers the Takings Clause of the Fifth Amendment to the United States Constitution which, as interpreted by the Supreme Court, provides perhaps the most robust means among the three jurisdictions considered for protecting the individual private property interests as against state takings. The Conclusion offers comparative reflections on the nature of the takings provision found in each jurisdiction.Krithika Ashok, Paul T. Babie, & John V. Ort

Author Correction: Federated learning enables big data for rare cancer boundary detection.

10.1038/s41467-023-36188-7NATURE COMMUNICATIONS14

Federated learning enables big data for rare cancer boundary detection.

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Federated Learning Enables Big Data for Rare Cancer Boundary Detection

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing

Screening for anaemia in children’s of age group 6 months to 5 years using palmar pallor and digital hemoglobinometer by finger prick method

Background: Screening for anemia in children’s under five years of age using palmar pallor and Digital hemoglobinometer by finger prick method. Methodology: A total of 200 subjects were enrolledfrom outpatient department of ACS Medical College. Children of the age group 6 months to 5 years were considered in the study. Out of the total, 84 were boys and 116 were girls. Blood sampleswere collected from the subjects using a finger prick method and measured using Digital Haemoglobinometer. Data was collected and result was analysed using SPSS software. Results: Out of the 200 children examined, 91 (45%) were found to be no palmar pallor, 102 (51%) were some palmar pallor and 7 (4%) were severe anemia (severe palmar pallor),Whereas using Digital Haemoglobinometer, 64 (34%) no anemia (Hb ≥11 mg/dL), 115 (57%) children’s were found to beanemic (Hb <11 mg/dL) and 18 (9%) were severe anemiawith haemoglobin levels <7 mg/dL.The age of the children ranged from 6 months to 5 years with mean age of 3 years. Conclusion: Digital Hemoglobinometer (DH) can significantly reduce misdiagnosis of anaemia compared with clinical assessment alone

Balancing Justice Needs and Private Property in Constitutional Takings Provisions: A Comparative Assessment of India, Australia, and the United States

This Article explores the relationship between justice needs and private property in the constitutional takings provisions of the Indian, Australian, and American constitutions. Building upon established scholarship, it develops a theoretical framework within which to consider the way in which a state balances the requirement to provide minimal levels of justice for its citizens through the re-distribution of goods and resources with the need to protect the private property of individuals. We summarize this framework in what we refer to as the “Justice Needs-Protection of Private Property Continuum.” Using the framework developed, the Article provides an outline of the takings provisions found in the Indian, Australian, and American constitutions. Part I examines Article 300A of the Constitution of India, which contains the scope of the power of compulsory acquisition exercised by the Indian state. Part II assesses Section 51(xxxi) of the Australian Constitution which, unlike its American and Indian counterparts, operates as both a grant of power to the federal government, as well as a limitation imposed upon that power, which may, it seems, operate so as to provide some minimal protection for individual private property interests. Part III considers the Takings Clause of the Fifth Amendment to the United States Constitution which, as interpreted by the Supreme Court, provides perhaps the most robust means among the three jurisdictions considered for protecting the individual private property interests as against state takings. The Conclusion offers comparative reflections on the nature of the takings provision found in each jurisdiction

Use of selfie sticks and iPhones to record operative photos and videos in plastic surgery

Use of smartphone has become ubiquitous. With smartphone cameras becoming powerful, they are replacing digital cameras and digital SLRs as primary instruments to take photos and record videos. It is natural even for plastic surgeons that smartphones are handy to take still photographs and even record high-definition or 4K videos. Another invention which has become popular with smartphone photography is a selfie stick. We explain the possibility and methodology of using an iPhone and selfie stick to take operative photographs and high-quality videos

Estimation of tuberculosis incidence at subnational level using three methods to monitor progress towards ending TB in India, 2015–2020

Objectives We verified subnational (state/union territory (UT)/district) claims of achievements in reducing tuberculosis (TB) incidence in 2020 compared with 2015, in India.Design A community-based survey, analysis of programme data and anti-TB drug sales and utilisation data.Setting National TB Elimination Program and private TB treatment settings in 73 districts that had filed a claim to the Central TB Division of India for progress towards TB-free status.Participants Each district was divided into survey units (SU) and one village/ward was randomly selected from each SU. All household members in the selected village were interviewed. Sputum from participants with a history of anti-TB therapy (ATT), those currently experiencing chest symptoms or on ATT were tested using Xpert/Rif/TrueNat. The survey continued until 30 Mycobacterium tuberculosis cases were identified in a district.Outcome measures We calculated a direct estimate of TB incidence based on incident cases identified in the survey. We calculated an under-reporting factor by matching these cases within the TB notification system. The TB notification adjusted for this factor was the estimate by the indirect method. We also calculated TB incidence from drug sale data in the private sector and drug utilisation data in the public sector. We compared the three estimates of TB incidence in 2020 with TB incidence in 2015.Results The estimated direct incidence ranged from 19 (Purba Medinipur, West Bengal) to 1457 (Jaintia Hills, Meghalaya) per 100 000 population. Indirect estimates of incidence ranged between 19 (Diu, Dadra and Nagar Haveli) and 788 (Dumka, Jharkhand) per 100 000 population. The incidence using drug sale data ranged from 19 per 100 000 population in Diu, Dadra and Nagar Haveli to 651 per 100 000 population in Centenary, Maharashtra.Conclusion TB incidence in 1 state, 2 UTs and 35 districts had declined by at least 20% since 2015. Two districts in India were declared TB free in 2020