Socio-Economic and Living Conditions of Internal Migrant Labour Living in Visakhapatnam City, India

India has seen a high internal migration rate in recent years and among the internal migrants, there is a substantial proportion of poorer migrants involved in low paid and low earning jobs. The present paper reports few socio-economic characteristics and their living conditions of poor migrant labour living in Visakhapatnam city, India, which is one of the world’s fastest growing cities. Migration is one of the reasons for its growth. Data were collected from a sample of 2000 households (with migration duration of 30 days to 10 years) living in 10 slums. This study reveals that migrants are living in sub-human living conditions and are vulnerable to all sorts of risks. It further reports the poor quality of living conditions and services. The vulnerability is a state of being exposed to or susceptible to neglect, which leads to less control over the resources available in the city. They also encounter several constraints such as lack of political voice and basic facilities, low-paid, insecure and hazardous working conditions and less or no access to health care and education. Hence, the government has to recognize poor migrants as a vulnerable urban section that needs special and targeted interventions to improve their living conditions

Indirect Match Highlights Detection with Deep Convolutional Neural Networks

Highlights in a sport video are usually referred as actions that stimulate excitement or attract attention of the audience. A big effort is spent in designing techniques which find automatically highlights, in order to automatize the otherwise manual editing process. Most of the state-of-the-art approaches try to solve the problem by training a classifier using the information extracted on the tv-like framing of players playing on the game pitch, learning to detect game actions which are labeled by human observers according to their perception of highlight. Obviously, this is a long and expensive work. In this paper, we reverse the paradigm: instead of looking at the gameplay, inferring what could be exciting for the audience, we directly analyze the audience behavior, which we assume is triggered by events happening during the game. We apply deep 3D Convolutional Neural Network (3D-CNN) to extract visual features from cropped video recordings of the supporters that are attending the event. Outputs of the crops belonging to the same frame are then accumulated to produce a value indicating the Highlight Likelihood (HL) which is then used to discriminate between positive (i.e. when a highlight occurs) and negative samples (i.e. standard play or time-outs). Experimental results on a public dataset of ice-hockey matches demonstrate the effectiveness of our method and promote further research in this new exciting direction.Comment: "Social Signal Processing and Beyond" workshop, in conjunction with ICIAP 201

SIMCO: SIMilarity-based object COunting

We present SIMCO, the first agnostic multi-class object counting approach. SIMCO starts by detecting foreground objects through a novel Mask RCNN-based architecture trained beforehand (just once) on a brand-new synthetic 2D shape dataset, InShape; the idea is to highlight every object resembling a primitive 2D shape (circle, square, rectangle, etc.). Each object detected is described by a low-dimensional embedding, obtained from a novel similarity-based head branch; this latter implements a triplet loss, encouraging similar objects (same 2D shape + color and scale) to map close. Subsequently, SIMCO uses this embedding for clustering, so that different types of objects can emerge and be counted, making SIMCO the very first multi-class unsupervised counter. Experiments show that SIMCO provides state-of-the-art scores on counting benchmarks and that it can also help in many challenging image understanding tasks

Beyond Nudging: Debiasing Consumers Through Mixed Framing

The consumer-protection literature can be divided into two camps: laissez-faire libertarianism and paternalism. Paternalism, as advanced by behavioral law and economics, calls for nudging consumers toward their utility-maximizing preference. Laissez-faire libertarianism, instead, calls for relying on rational-choice theory and the free market to allocate consumer goods. Although each camp presents the other as its diametric opponent, this Note shows that this dichotomy is overstated. Neither camp is incompatible with the other, nor infallible on its own. Through an original behavioral study, this Note reveals flaws in the fundamental assumptions of both camps: that no information can be conveyed neutrally (behavioral law and economics) and that consumer-oriented regulation diminishes autonomy (rational-choice theory). It does so by focusing on an understudied form of consumer-protection regulation: mixed framing. Legal scholars and regulators have largely ignored this phenomenon, yet it offers a more robust and actionable regulatory approach than the existing literature and one that is distinct from both paternalism and libertarianism. By examining the case study of food-safety regulations, this Note sketches the analytic and normative case for why regulators should embrace mixed framing. Using a process of debiasing through mixed framing, agencies can promulgate rules that minimize the risk of deceptive advertising tactics and maximize the provision of neutral and complete information—without running afoul of the First Amendment or falling into paternalistic restrictions on autonomy

A Historical Perspective on Filings by Foreign Sovereigns at the U.S. Supreme Court: Amici or Inimici Curiae?

Over the last decade, the citation of international sources of law in U.S. Supreme Court decisions has stirred up considerable controversy. This has played out not only within the academy, but also among the Justices

Administrative Regulation of Arbitration

In Epic Systems v. Lewis, a case on arbitration agreements and class action waivers, the U.S. Supreme Court tangentially addressed the intersection of arbitration and agency deference. The Court’s opinion highlighted a gap in legal scholarship: very little has been written on administrative regulation of arbitration. By cataloging for the first time the instances in which agencies have regulated arbitration over the last four decades, this Note strives to jumpstart the scholarly debate around administrative regulation of arbitration. In the face of decades-old agency rules, this Note shows why Epic Systems should not be interpreted to preempt regulations of arbitration pursuant to general delegations of rulemaking authority. Such an interpretation, which assumes the incompatibility of the agency-deference case law and the arbitration jurisprudence, clashes with longstanding Supreme Court precedent

Protein–lipid interactions in membrane trafficking at the Golgi complex

AbstractThe integrated interplay between proteins and lipids drives many key cellular processes, such as signal transduction, cytoskeleton remodelling and membrane trafficking. The last of these, membrane trafficking, has the Golgi complex as its central station. Not only does this organelle orchestrates the biosynthesis, transport and intracellular distribution of many proteins and lipids, but also its own function and structure is dictated by intimate functional and physical relationships between protein-based and lipid-based machineries. These machineries are involved in the control of the fundamental events that govern membrane traffic, such as in the budding, fission and fusion of transport intermediates, in the regulation of the shape and geometry of the Golgi membranes themselves, and, finally, in the generation of “signals” that can have local actions in the secretory system, or that may affect other cellular systems. Lipid–protein interactions rely on the abilities of certain protein domains to recognize specific lipids. These interactions are mediated, in particular, through the headgroups of the phospholipids, although a few of these protein domains are able to specifically interact with the phospholipid acyl chains. Recent evidence also indicates that some proteins and/or protein domains are more sensitive to the physical environment of the membrane bilayer (such as its curvature) than to its chemical composition