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The Enabling Service of the Industrial Design Consultancy: A Change of Focus from Goods- to Service Dominant Logic

Design has received increased attention not least of all in the business press and journals. The concept of design thinking – how to approach problems in a designerly way – is sometimes attributed as being the savior of business, making companies creative and innovative. This kind of exaggeration does more harm than good to industrial design consultancies (IDCs) and their client firms (CFs). And y

Customer Perceived Service Quality

The purpose of this study is to develop a general understanding of the areas of alliances and service quality as well as their relation to each other, through a consumer perception. Further, to discover more detailed and close up knowledge of customer perceived service quality within airline alliances. This is done by identifying particularly significant dimensions in the service process that have

Guarding the Guards: Accountable Authorities in VANETs

In this paper we present an approach to gaining increased anonymity from authorities within a VANET. Standardization organizations and researchers working on VANETs recognize privacy as highly important. However, most research focuses on privacy from other vehicles and external attackers, as opposed to privacy from system-administrating authorities. Our proposed solution forces authorities to reso

On the Asymptotics of Solving the LWE Problem Using Coded-BKW with Sieving

The Learning with Errors problem (LWE) has become a central topic in recent cryptographic research. In this paper, we present a new solving algorithm combining important ideas from previous work on improving the Blum-Kalai-Wasserman (BKW) algorithm and ideas from sieving in lattices. The new algorithm is analyzed and demonstrates an improved asymptotic performance. For the Regev parameters $q=n^2$

Information Set Decoding with Soft Information and some cryptographic applications

The class of information set decoding algorithms is the best known way of decoding general codes, i.e. codes that admit no special structure, in the Hamming metric. Stern's algorithm is the origin of the most efficient algorithms in this class. In this paper we consider the same decoding problem but for a channel with soft information. We give a version of Stern's algorithm for a channel with soft

Ambivalent stereotypes link to peace, conflict and inequality across 38 nations

A cross-national study, 49 samples in 38 nations, N=4,344, investigates whether national peace and conflict reflect ambivalent warmth-competence stereotypes: High-conflict societies (Pakistan) may need clearcut, unambivalent group images-distinguishing friends from foes. Highly peaceful countries (Denmark) also may need less ambivalence because most groups occupy the shared national identity, with

Towards Grading Gleason Score using Generically Trained Deep convolutional Neural Networks

We developed an automatic algorithm with the purpose to assist pathologists to report Gleason score on malignant prostatic adenocarcinoma specimen. In order to detect and classify the cancerous tissue, a deep convolutional neural network that had been pre-trained on a large set of photographic images was used. A specific aim was to support intuitive interaction with the result, to let pathologists

Measuring and Evaluating Bitumen Coverage of Stones using two Different Digital Image Analysis Methods

The most used pavement for paved roads in the world is asphalt. It is therefore important that the asphalt is as durable as possible to avoid expensive repairs of the roads. One important factor of the durability of the road is the adherence between the stones and the bitumen that holds the stones together. The affinity is tested by the so called rolling bottle test, where one put stones covered i

A Generic Framework for Side-Channel Attacks Against LWE-Based Cryptosystems

Lattice-based cryptography is in the process of being standardized. Several proposals to deal with side-channel information using lattice reduction exist. However, it has been shown that algorithms based on Bayesian updating are often more favorable in practice. In this work, we define distribution hints; a type of hint that allows modelling probabilistic information. These hints generalize most p

A randomized comparison between league tables and funnel plots as an aid to health care decision-making

Objective Comparison of provider performance is commonly used to inform health care decision-making. Little attention has been paid to how data presentations influence decisions. This study analyzes differences in suggested actions by decision-makers informed by league tables or funnel plots.Design Decision-makers were invited to a survey and randomized to compare hospital performance using either

Best practice approaches to social prescribing in European Primary Care : A Delphi protocol focused on link workers

INTRODUCTION: Social prescribing (SP) is an innovative model that connects individuals to non-clinical community resources. However, its uptake and evaluation have been hindered by inconsistent role definitions for key stakeholders. Although recent studies have refined SP definitions, outside the UK, the responsibilities, educational backgrounds and training requirements of social prescribing link

Learning-Based Dimensionality Reduction for Computing Compact and Effective Local Feature Descriptors

A distinctive representation of image patches in form of features is a key component of many computer vision and robotics tasks, such as image matching, image retrieval, and visual localization. State-of-the-art descriptors, from hand-crafted descriptors such as SIFT to learned ones such as HardNet, are usually high-dimensional; 128 dimensions or even more. The higher the dimensionality, the large

Divide and Surrender: Exploiting Variable Division Instruction Timing in HQC Key Recovery Attacks

We uncover a critical side-channel vulnerability in the Hamming Quasi-Cyclic (HQC) round 4 optimized implementation arising due to the use of the modulo operator. In some cases, compilers optimize uses of the modulo operator with compiletime known divisors into constant-time Barrett reductions. However, this optimization is not guaranteed: for example, when a modulo operation is used in a loop the