The 1-2-3 of Market Research for Business Startups: A Case Study in Library Instruction

This article describes a practical way to teach student entrepreneurs to search and use market data for business startup plans. The conventional way of teaching students to find articles and business intelligence based on a class assignment can be challenging for many students without an academic business background. This library instruction approach sequentially uses three databases enriched with business data and infographics to support the development of critical thinking for student entrepreneurs. It teaches entrepreneurial personality support, analysis, visualization, and market mapping

Congruent families and invariant tensors

Classical results of Chentsov and Campbell state that -- up to constant multiples -- the only $2$-tensor field of a statistical model which is invariant under congruent Markov morphisms is the Fisher metric and the only invariant $3$-tensor field is the Amari-Chentsov tensor. We generalize this result for arbitrary degree $n$, showing that any family of $n$-tensors which is invariant under congruent Markov morphisms is algebraically generated by the canonical tensor fields defined in an earlier paper

The Force Balance of Electrons During Kinetic Anti-parallel Magnetic Reconnection

Fully kinetic simulations are applied to the study of 2D anti-parallel reconnection, elucidating the dynamics by which the electron fluid maintains force balance within both the electron diffusion region (EDR) and the ion diffusion region (IDR). Inside the IDR, magnetic field-aligned electron pressure anisotropy ($p_{e\parallel}\gg p_{e\perp})$ develops upstream of the EDR. Compared to previous investigations, the use of modern computer facilities allows for simulations at the natural proton to electron mass ratio $m_i/m_e=1836$. In this high-$m_i/m_e$-limit the electron dynamics changes qualitatively, as the electron inflow to the EDR is enhanced and mainly driven by the anisotropic pressure. Using a coordinate system with the $x$-direction aligned with the reconnecting magnetic field and the $y$-direction aligned with the central current layer, it is well-known that for the much studied 2D laminar anti-parallel and symmetric scenario the reconnection electric field at the $X$-line must be balanced by the $\partial p_{exy}/ \partial x$ and $\partial p_{eyz}/ \partial z$ off-diagonal electron pressure stress components. We find that the electron anisotropy upstream of the EDR imposes large values of $\partial p_{exy}/ \partial x$ within the EDR, and along the direction of the reconnection $X$-line this stress cancels with the stress of a previously determined theoretical form for $\partial p_{eyz}/ \partial z$. The electron frozen-in law is instead broken by pressure tensor gradients related to the direct heating of the electrons by the reconnection electric field. The reconnection rate is free to adjust to the value imposed externally by the plasma dynamics at larger scales.Comment: Submitted to Physics of Plasmas, 11 October 202

Exposing errors related to weak memory in GPU applications

© 2016 ACM.We present the systematic design of a testing environment that uses stressing and fuzzing to reveal errors in GPU applications that arise due to weak memory effects. We evaluate our approach on seven GPUS spanning three NVIDIA architectures, across ten CUDA applications that use fine-grained concurrency. Our results show that applications that rarely or never exhibit errors related to weak memory when executed natively can readily exhibit these errors when executed in our testing environment. Our testing environment also provides a means to help identify the root causes of such errors, and automatically suggests how to insert fences that harden an application against weak memory bugs. To understand the cost of GPU fences, we benchmark applications with fences provided by the hardening strategy as well as a more conservative, sound fencing strategy

Singularities and Topology of Meromorphic Functions

We present several aspects of the "topology of meromorphic functions", which we conceive as a general theory which includes the topology of holomorphic functions, the topology of pencils on quasi-projective spaces and the topology of polynomial functions.Comment: 21 pages, 1 figur

Automatic generation of dense non-rigid optical flow

There hardly exists any large-scale datasets with dense optical flow of non-rigid motion from real-world imagery as of today. The reason lies mainly in the difficulty of human annotation to generate optical flow ground-truth. To circumvent the need for human annotation, we propose a framework to automatically generate optical flow from real-world videos. The method extracts and matches objects from video frames to compute initial constraints, and applies a deformation over the objects of interest to obtain dense optical flow fields. We propose several ways to augment the optical flow variations. Extensive experimental results show that training on our automatically generated optical flow outperforms methods that are trained on rigid synthetic data using FlowNet-S, PWC-Net, and LiteFlowNet. Datasets and algorithms of our optical flow generation framework is available at https://github.com/lhoangan/arap_flow.Comment: The paper is under consideration at Computer Vision and Image Understandin

Sự thật về nội lực Việt Nam trong trích dẫn khoa học hàng đầu thế giới 2021

Hàng năm, việc công bố danh sách các nhà nghiên cứu thuộc tốp 100 ngàn các nhà nghiên cứu có trích dẫn khoa học hàng đầu thế giới theo Cơ sở dữ liệu Scopus là vấn đề rất được cộng đồng khoa học quan tâm. Năm 2021, kết quả này đã tiếp tục được công bố bởi nhóm tác giả gồm TS. John P. A. Ioannidis (giáo sư thực thụ về y khoa, nghiên cứu sức khỏe và chính sách, khoa học dữ liệu y sinh và thống kê học thuộc Đại học Stanford, Mỹ), Jeroen Baas (giám đốc dữ liệu của Nhà xuất bản Elsevier, Hà Lan) và TS. Kevin Boyack (giám đốc điều hành của Công ty SciTech Strategies, Mỹ; chuyên về trắc lượng khoa học). Việc sử dụng Cơ sở dữ liệu Scopus thuộc Nhà xuất bản Elsevier của Hà Lan làm cho kết quả của nhóm tác giả trở nên tin cậy và có ảnh hưởng sâu rộng trong cộng đồng khoa học thế giới bởi lẽ Scopus là một trong hai cơ sở dữ liệu khoa học uy tín nhất trên thế giới hiện nay, bên cạnh Cơ sở dữ liệu Web of Science của Mỹ. Trong năm nay, nhóm tác giả trên công bố các danh sách các nhà nghiên cứu có trích dẫn khoa học cao thuộc tốp 100.000 hoặc tốp 2% trên toàn thế giới gồm xét theo thành tựu trọn đời, thành tựu năm gần nhất và thành tựu theo chuyên ngành

Immigrant status and cardiovascular risk over time: results from the Multi-Ethnic Study of Atherosclerosis

Despite cross-sectional evidence that foreign-born United States (US) residents often have better health than US-born residents of similar race/ethnicity, we know little about overall cardiovascular risk progression over time among immigrants as they age in the US

Sparse PLS discriminant analysis: biologically relevant feature selection and graphical displays for multiclass problems

Background: Variable selection on high throughput biological data, such as gene expression or single nucleotide polymorphisms (SNPs), becomes inevitable to select relevant information and, therefore, to better characterize diseases or assess genetic structure. There are different ways to perform variable selection in large data sets. Statistical tests are commonly used to identify differentially expressed features for explanatory purposes, whereas Machine Learning wrapper approaches can be used for predictive purposes. In the case of multiple highly correlated variables, another option is to use multivariate exploratory approaches to give more insight into cell biology, biological pathways or complex traits.Results: A simple extension of a sparse PLS exploratory approach is proposed to perform variable selection in a multiclass classification framework.Conclusions: sPLS-DA has a classification performance similar to other wrapper or sparse discriminant analysis approaches on public microarray and SNP data sets. More importantly, sPLS-DA is clearly competitive in terms of computational efficiency and superior in terms of interpretability of the results via valuable graphical outputs. sPLS-DA is available in the R package mixOmics, which is dedicated to the analysis of large biological data sets