Injury Investigations in Material Retardation Antidumping Cases

Despite the criticisms of economists to antidumping measures, they continue to be the most often used trade remedy measure. A new trend that may be observed is the use of the material retardation standard of injury to demonstrate injury to domestic industry that is one of the requirements for imposing antidumping duty. It is essential to be wary of this trend as unlike the other two types of injury, the WTO lacks specific guidelines for the use of this standard. The general rules in the Antidumping Agreement are unsuitable for the situations where the material retardation standard is relevant, and the current bifurcated method of injury analysis adopted by most countries is inappropriate and inaccurate. A shift to a unitary approach focusing not on the overall health of the domestic industry, but rather what impact unfair imports have had on that health, along with certain other reforms, would better address the issue

Injury Investigations in Material Retardation Antidumping Cases

Despite the criticisms of economists to antidumping measures, they continue to be the most often used trade remedy measure. A new trend that may be observed is the use of the material retardation standard of injury to demonstrate injury to domestic industry that is one of the requirements for imposing antidumping duty. It is essential to be wary of this trend as unlike the other two types of injury, the WTO lacks specific guidelines for the use of this standard. The general rules in the Antidumping Agreement are unsuitable for the situations where the material retardation standard is relevant, and the current bifurcated method of injury analysis adopted by most countries is inappropriate and inaccurate. A shift to a unitary approach focusing not on the overall health of the domestic industry, but rather what impact unfair imports have had on that health, along with certain other reforms, would better address the issue

Injury Investigations in Material Retardation Antidumping Cases

Despite the criticisms of economists to antidumping measures, they continue to be the most often used trade remedy measure. A new trend that may be observed is the use of the material retardation standard of injury to demonstrate injury to domestic industry that is one of the requirements for imposing antidumping duty. It is essential to be wary of this trend as unlike the other two types of injury, the WTO lacks specific guidelines for the use of this standard. The general rules in the Antidumping Agreement are unsuitable for the situations where the material retardation standard is relevant, and the current bifurcated method of injury analysis adopted by most countries is inappropriate and inaccurate. A shift to a unitary approach focusing not on the overall health of the domestic industry, but rather what impact unfair imports have had on that health, along with certain other reforms, would better address the issue

COVAX and COVID-19 vaccine inequity: a case study of G-20 and African Union

As the world has a history of vaccine nationalism, especially during the 2009 Swine flu pandemic, the COVAX alliance, a globally collaborated mechanism, was created by World Health Organization (WHO), GAVI, and UNICEF to address the inequity of COVID-19 vaccines. One of the primary aims of this alliance was to deliver vaccines to low- and middle-income countries (LMICs), which otherwise have less or no capacity to access vaccines from the open market. It is crucial to explore the contribution of COVAX in bridging the gap in equity, accessibility, and affordability of COVID-19 vaccines between high- and low-income countries (LICs). We selected Group 20 (G20) COVAX participants and the African Union (AU) as case studies to estimate these gaps. The bilateral purchase data shows that by December 2021, the G20 countries had vaccines more than double their population, whereas the AU could procure only about one fifth (19%) of their population. Out of 52 AU countries whose data was available, only 21 of them could strike a bilateral deal with vaccine manufacturers. Even after COVAX delivery, the share of the population that could be vaccinated in AU was just 36.8%, less than the target of WHO (40%) for December 2021. It was found that the COVAX alliance worked better than the open market competition for LMICs and LICs. The cost of vaccinating 20% of the population was 0.7% of the current health expenditure for G20 countries, whereas AU countries had to spend 5.5%. COVAX bears more cost (1%–3%) for AU countries than G20 countries (less than 1%). COVAX made COVID-19 vaccines more affordable and accessible to these countries. However, LICs were disproportionately affected even with the COVAX Facility mechanism owing to their lack of vaccine deployment infrastructure

Online Algorithms for Hierarchical Inference in Deep Learning applications at the Edge

We consider a resource-constrained Edge Device (ED), such as an IoT sensor or a microcontroller unit, embedded with a small-size ML model (S-ML) for a generic classification application and an Edge Server (ES) that hosts a large-size ML model (L-ML). Since the inference accuracy of S-ML is lower than that of the L-ML, offloading all the data samples to the ES results in high inference accuracy, but it defeats the purpose of embedding S-ML on the ED and deprives the benefits of reduced latency, bandwidth savings, and energy efficiency of doing local inference. In order to get the best out of both worlds, i.e., the benefits of doing inference on the ED and the benefits of doing inference on ES, we explore the idea of Hierarchical Inference (HI), wherein S-ML inference is only accepted when it is correct, otherwise the data sample is offloaded for L-ML inference. However, the ideal implementation of HI is infeasible as the correctness of the S-ML inference is not known to the ED. We propose an online meta-learning framework that the ED can use to predict the correctness of the S-ML inference. In particular, we propose to use the maximum softmax value output by S-ML for a data sample and decide whether to offload it or not. The resulting online learning problem turns out to be a Prediction with Expert Advice (PEA) problem with continuous expert space. We propose two different algorithms and prove sublinear regret bounds for them without any assumption on the smoothness of the loss function. We evaluate and benchmark the performance of the proposed algorithms for image classification application using four datasets, namely, Imagenette and Imagewoof, MNIST, and CIFAR-10.Comment: The original version was submitted to a journal and was later revised. The updated version was accepted in a journal and will be published soon. The 'Journal reference' will be updated as and when the information is availabl

Intramuscular hemangioma of the masseter muscle: a case report

Intramuscular hemangiomas are uncommon neoplasm's arising most frequently in the masseter and trapezius muscle. Due to it's location it is often mistaken for a parotid swelling and rarely is an accurate pre-operative diagnosis achieved clinically. The intra masseteric location also poses special problem in terms of proximity to the facial nerve and the post operative flattening following excision of the masseter muscle. A case of intramuscular hemangioma in a 17 year old girl is presented. Inadequacy of computed tomography scan and cytology in achieving a pre-operative diagnosis and also the treatment modalities are reviewed here. An estrogen receptor and progesterone receptor study has been done to verify the hormonal basis of this tumour

Identification of Grand-design and Flocculent Spirals from SDSS using Convolutional Neural network

Spiral galaxies can be classified into the {\it Grand-designs} and {\it Flocculents} based on the nature of their spiral arms. The {\it Grand-designs} exhibit almost continuous and high contrast spiral arms and are believed to be driven by density waves, while the {\it Flocculents} have patchy and low-contrast spiral features and are primarily stochastic in origin. We train a convolutional neural network (CNN) model to classify spirals into {\it Grand-designs} and {\it Flocculents}, with a testing accuracy of $\mathrm{97.2\%}$. We then use the above model for classifying $\mathrm{1,354}$ new spirals from the SDSS. Out of these, $\mathrm{721}$ were identified as {\it Flocculents}, and the rest as {\it Grand-designs}. We find the median asymptotic rotational velocities of our newly classified {\it Grand-designs} and {\it Flocculents} are $218 \pm 86$ and $145 \pm 67$ respectively, indicating that the {\it Grand-designs} are mostly the high-mass and the {\it Flocculents} the intermediate-mass spirals. This is further corroborated by the observation that the median morphological indices of the {\it Grand-designs} and {\it Flocculents} are $2.6 \pm 1.8$ and $4.7 \pm 1.9$ respectively, implying that the {\it Flocculents} primarily consist of a late-type galaxy population in contrast to the {\it Grand-designs}. Finally, an almost equal fraction of of bars $\sim$ 0.3 in both the classes of spiral galaxies reveals that the presence of a bar component does not regulate the type of spiral arm hosted by a galaxy. Our results may have important implications for formation and evolution of spiral arms in galaxies.Comment: 19 pages, 8 figures (Accepted for publication in the MNRAS

Dengue Scourge in Delhi – What the Stakeholders Think, a Search for Perspective

Background and Objective: Amongst all the states and union territories in India, New Delhi shares the highest burden of the disease. Dengue infection is influenced by several socioeconomic factors, which involve roles, and responsibilities of various stakeholders of the society. In this study, we attempt to explore the awareness, knowledge and perception about dengue amongst relevant stakeholders.Methodology: A sample of 30 stakeholders having different roles in management of dengue was taken all over from Delhi. In-depth, face-to-face, qualitative interviews were taken using an interview tool customized as per roles and responsibilities of the stakeholders.Result: The study identified four key themes in management of dengue in Delhi. These themes were studied in depth and various challenges in dengue management were explored

Living environment and health of under-five children in urban slums of a coastal region in South India

Objective: The primary objective of the study was to determine the association between the living environment and morbidity, nutritional status, immunization status, and personal hygiene of under-five children living in urban slums in southern India. Methods: This study included 224 mothers of under-five children living in urban slums of Udupi Taluk, Karnataka. A total of 17 urban slums were selected randomly using random cluster sampling. Results: Undernutrition was high among children of illiterate mothers (63.8%), and the children of working mothers were affected by more morbidity (96.6%) as compared with housewives. Morbidity was also found to be high among children belonging to families with low incomes (66.1%) and low socio-economic backgrounds (93.1%). Safe drinking water, water supply, sanitation, hygiene, age of the child, mother’s and father’s education, mother’s occupation and age, number of children in the family, use of mosquito nets, type of household, and family income were significantly associated with child morbidity, nutritional status, immunization status, and personal hygiene of under-five children living in urban slums. Conclusion: Overall, in our study, family characteristics including parental education, occupation and income were significantly associated with outcomes among under-five children. The availability of safe drinking water and sanitation, and the use of mosquito nets to prevent vector-borne diseases are basic needs that need to be urgently met to improve child health

Computers in Diagnostic Nuclear Medicine Imaging - A Review

Digital computers are becoming increasingly popular for a variety of purposes in nuclear medicine. They are particuiarly useful in the areas of nuclear imaging and gamma camera image processing,radionuclide inventory and patient record keeping. By far the most important use of the digital computer is in array processors which are commonly available with emission computed systems for fast reconstruction of images in transverse, coronal and sagittal views, particularly when the data to be handled is enormous and involves filtration and correction processes. The addition of array processors to computer systems has helped the clinicians in improving diagnostic nuclear medicine imaging capability. This paper reviews briefly therole of computers in the field of nuclear medicine imaging