2,458 research outputs found
The use of machine learning to identify the correctness of HS Code for the customs import declarations
No full textAs an increasing volume of international trade activities around the world, the amount of cross-boarder import declarations grows rapidly, resulting in an unprecedented scale of potentially fraudulent transactions, in particular false commodity code (e.g., HS Code). The incorrect HS Code will cause duty risk and adversely impact the revenue collection. Physical investigation by the customs administrations is impractical due to the substantial quantity of declarations. This paper provides an automatic approach by harnessing the power of machine learning techniques to relief the burden of customs targeting officers. We introduced a novel model based on the off-the-shelf embedding encoder to identify the correctness of HS Code without any human effort. Determining whether the HS Code is correctly matched with commodity description is a classification task, so the labelled data is typically required. However, the lack of gold standard labelled data sets in customs domain limits the development of supervised-based approach. Our model is developed by the unsupervised mechanism and trained on the unlabelled historical declaration records, which is robust and able to be smoothly adapted by the different customs administrations. Rather than typically classifying whether the HS Code is correct or not, our model predicts the score to indicate the degree of the HS Code being correct. We have evaluated our proposed model on the ground-truth data set provided by Dutch customs officers. Results show promising performance of 71% overall accuracy.Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project https://www.openaccess.nl/en/you-share-we-take-care Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.Information and Communication Technolog
HS-stability and complex products in involution semigroups
No full textWhen does the complex product of a given number of subsets of a group generate the same subgroup as their union? We answer this question in a more general form by introducing HS-stability and characterising the HS-stable involution subsemigroup generated by a subset of a given involution semigroup. We study HS-stability for the special cases of regular ∗-semigroups and commutative involution semigroups.</p
STRATEGI PEMASARAN TOKO KERAJINAN PERAK HS SILVER KOTAGEDE
No full textHS Silver is one of silversmithing shop, Yogyakarta. This silver craft store
has a huge potential in Kotagede because it has a silver shop workshop tour packages
for tourists who come.
The purpose of this study was to analyze the marketing strategy of the HS
Silver shop silver and supporters know and inhibiting HS Silver shop silver. The
author also wants to know what marketing has done for store promotions HS Silver
silver Kotagede. In this study the authors obtain the data or information by means of
direct observation to the field, then do the documentation to obtain a variety of
written documents or data objects as well as images of other photographs that exist in
the object, in addition, the authors also conducted interviews with sources, namely
Silver and HS staff marketing HS Silver.
Store silver Silver HS has some constraints in the face of marketing. In any
tourism marketing are common constraints, but these constraints can be overcome.
For customer convenience HS Silver should still give priority to the user in the face
of the customer
Registration of (HS-182) and (HS-183) food grade soybean (Glycine max [L.] Merr.) Germplasm
No full textHS-182 and HS-183 are food-grade soybean lines [Glycine max (L.) Merr.] with distinct seed protein profiles and food processing quality. HS-182 is a 7S β-conglycinin α’ and 11S glycinin A4 null with a high protein concentration of 45.7% and good processing quality. HS-183 is a 7S β-conglycinin α’ and 11S glycinin null with a protein concentration of 42.7% and poor tofu processing quality. They are adapted to areas of southwestern Ontario with 3100 or more crop heat units and have relative maturity groups of 2.5 and 2.4, respectively.The accepted manuscript in pdf format is listed with the files at the bottom of this page. The presentation of the authors' names and (or) special characters in the title of the manuscript may differ slightly between what is listed on this page and what is listed in the pdf file of the accepted manuscript; that in the pdf file of the accepted manuscript is what was submitted by the author
HS-1371, a novel kinase inhibitor of RIP3-mediated necroptosis
No full textNecroptosis is a type of programmed cell death that usually occurs under apoptosis-deficient conditions. Receptor-interacting protein kinase-3 (RIP3, or RIPK3) is a central player in necroptosis, and its kinase activity is essential for downstream necroptotic signaling events. Since RIP3 kinase activity has been associated with various diseases, the development of specific RIP3 inhibitors is an attractive strategy for therapeutic application. In this study, we identified a potent RIP3 inhibitor, HS-1371, by the extensive screening of chemical libraries focused on kinases. HS-1371 directly binds to RIP3 in an ATP-competitive and time-independent manner, providing a mechanism of action. Moreover, the compound inhibited TNF-induced necroptosis but did not inhibit TNF-induced apoptosis, indicating that this novel inhibitor has a specific inhibitory effect on RIP3-mediated necroptosis via the suppression of RIP3 kinase activity. Our results suggest that HS-1371 could serve as a potential preventive or therapeutic agent for diseases involving RIP3 hyperactivation © The Author(s) 201
Nonlinear scattering theory for a class of wave equations in Hs
No full textAbstractFor the semi-linear (higher order) wave equation and the nonlinear (higher order) Schrödinger equation, we show that the scattering operators map a band in Hs into Hs if the nonlinearities have (sub-)critical powers in Hs. The smoothness of the scattering operators and the uniform boundedness of strong solutions for the defocusing NLS equation are also shown provided that the nonlinearities have subcritical growth in H1. Moreover, the spatial decaying behavior of solutions in energy space for the defocusing NLS equation are obtained
Analysis of Plasmodium falciparum diversity in natural infections by deep sequencing.
No full textMalaria elimination strategies require surveillance of the parasite population for genetic changes that demand a public health response, such as new forms of drug resistance. Here we describe methods for the large-scale analysis of genetic variation in Plasmodium falciparum by deep sequencing of parasite DNA obtained from the blood of patients with malaria, either directly or after short-term culture. Analysis of 86,158 exonic single nucleotide polymorphisms that passed genotyping quality control in 227 samples from Africa, Asia and Oceania provides genome-wide estimates of allele frequency distribution, population structure and linkage disequilibrium. By comparing the genetic diversity of individual infections with that of the local parasite population, we derive a metric of within-host diversity that is related to the level of inbreeding in the population. An open-access web application has been established for the exploration of regional differences in allele frequency and of highly differentiated loci in the P. falciparum genome
Give Me Your Wired and Your Highly Skilled: Measuring the Impact of Immigration Policy on Employers and Shareholders
No full textThe paper links finance theory to labor economics and political economy in the context of migration and immigration policy. Most research treating the impact of immigration has focused on the consequences for employees as measured by wages, earnings, and employment. Less is known about the impact on employers. We lack answers to basic questions concerning the quantitative impact of immigrants on employer profit, and which employers are most likely to gain (suffer) increased (reduced) profits as a result of immigration. Using event study analysis, I measure the impact of immigration policy on the profit of employers and shareholders, particularly in those industries with high needs for skilled immigrants. The American Competitiveness and Workforce Improvement Act (ACWIA) of 1998 nearly doubled the available number of H-1B visas for skilled foreign workers in FY 1999. It was the first time that the U.S. government raised the annual cap of H-1B visa since 1990. I focus on this bill and analyze whether and by how much its passage increased shareholders’ profit. The empirical results show that employers and shareholders in the top H-1B visa user industries enjoyed significant and positive returns with the passage of the ACWIA of 1998. Shareholders in high-tech industries (the top users of H-1B visa, 80% of total) such as "Computers and related equipment", and "Computer and data processing services" gained, respectively, an average 21.54% (15.88 if weighted) and 22.77% (18.11 if weighted) in cumulative excess returns in the month after the Act was passed, while industries with little need for H-1B visas experienced no significant changes in cumulative excess returns. Robustness testing including international factor comparisons, semiparametric modeling and a sample-split Chow structural break test support the results.skilled immigrants, immigration policy, employers, shareholders, event study, H-1B visa
Analytic study of XY-Ising model
No full textWe apply the variational cumulant expansion to study the phase transition of a two-dimensional coupled XY-Ising model. This model can describe several different systems with underlying continuous and Z(2) symmetries. We calculate the free energy, internal energy and specific heat to the third-order approximation with the trial action of two variational parameters. A comparison with Monte Carlo data is also presented.http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000088659700027&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=8e1609b174ce4e31116a60747a720701Physics, MultidisciplinarySCI(E)中国科学引文数据库(CSCD)0ARTICLE1179-1803
Automated and Interpretable Detection of Hippocampal Sclerosis in Temporal Lobe Epilepsy: AID-HS
No full text\ua9 2024 The Author(s). Annals of Neurology published by Wiley Periodicals LLC on behalf of American Neurological Association.Objective: Hippocampal sclerosis (HS), the most common pathology associated with temporal lobe epilepsy (TLE), is not always visible on magnetic resonance imaging (MRI), causing surgical delays and reduced postsurgical seizure-freedom. We developed an open-source software to characterize and localize HS to aid the presurgical evaluation of children and adults with suspected TLE. Methods: We included a multicenter cohort of 365 participants (154 HS; 90 disease controls; 121 healthy controls). HippUnfold was used to extract morphological surface-based features and volumes of the hippocampus from T1-weighted MRI scans. We characterized pathological hippocampi in patients by comparing them to normative growth charts and analyzing within-subject feature asymmetries. Feature asymmetry scores were used to train a logistic regression classifier to detect and lateralize HS. The classifier was validated on an independent multicenter cohort of 275 patients with HS and 161 healthy and disease controls. Results: HS was characterized by decreased volume, thickness, and gyrification alongside increased mean and intrinsic curvature. The classifier detected 90.1% of unilateral HS patients and lateralized lesions in 97.4%. In patients with MRI-negative histopathologically-confirmed HS, the classifier detected 79.2% (19/24) and lateralized 91.7% (22/24). The model achieved similar performances on the independent cohort, demonstrating its ability to generalize to new data. Individual patient reports contextualize a patient\u27s hippocampal features in relation to normative growth trajectories, visualise feature asymmetries, and report classifier predictions. Interpretation: Automated and Interpretable Detection of Hippocampal Sclerosis (AID-HS) is an open-source pipeline for detecting and lateralizing HS and outputting clinically-relevant reports. ANN NEUROL 2024
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