Can Automated Smoothing Significantly Improve Benchmark Time Series Classification Algorithms?

tl;dr: no, it cannot, at least not on average on the standard archive problems. We assess whether using six smoothing algorithms (moving average, exponential smoothing, Gaussian filter, Savitzky-Golay filter, Fourier approximation and a recursive median sieve) could be automatically applied to time series classification problems as a preprocessing step to improve the performance of three benchmark classifiers (1-Nearest Neighbour with Euclidean and Dynamic Time Warping distances, and Rotation Forest). We found no significant improvement over unsmoothed data even when we set the smoothing parameter through cross validation. We are not claiming smoothing has no worth. It has an important role in exploratory analysis and helps with specific classification problems where domain knowledge can be exploited. What we observe is that the automatic application does not help and that we cannot explain the improvement of other time series classification algorithms over the baseline classifiers simply as a function of the absence of smoothing

The impact of initial public offerings on SMEs’ foreign investment decisions

This study aims to bridge the research on the internationalization of small- and medium-sized enterprises (SMEs) with the literature on initial public offerings (IPOs). It investigates how IPOs affect SMEs’ foreign investment decisions as they internationalize. We argue that IPOs enable SMEs to engage in a period of accelerated foreign expansion, resulting in a wave-like pattern, as suggested by Håkanson and Kappen’s (J Int Bus Stud 48(9):1103–1113, 2017) ‘Casino model’ of internationalization. We also propose that there will be a post-IPO shift in SMEs entering less familiar locations and towards taking higher ownership stakes in new subsidiaries. We use a difference-in-differences design combined with coarsened exact matching to isolate the effects of IPOs. Our analysis of overseas investments by a matched sample of newly listed Japanese manufacturing SMEs and their private counterparts provides strong evidence that SMEs accelerate the pace of establishing new foreign subsidiaries after going public. The results also reveal nuanced changes in the location and ownership patterns in the post-IPO period. This study identifies the IPO as a significant antecedent to SME foreign expansion and offers a new explanation for intertemporal variance in the pace, direction, and commitment of the SME internationalization process

Fruit shape diversity in the Brassicaceae is generated by varying patterns of anisotropy

Fruits exhibit a vast array of different 3D shapes, from simple spheres and cylinders to more complex curved forms; however, the mechanism by which growth is oriented and coordinated to generate this diversity of forms is unclear. Here, we compare the growth patterns and orientations for two very different fruit shapes in the Brassicaceae: the heart-shaped Capsella rubella silicle and the near-cylindrical Arabidopsis thaliana silique. We show, through a combination of clonal and morphological analyses, that the different shapes involve different patterns of anisotropic growth during three phases. These experimental data can be accounted for by a tissue-level model in which specified growth rates vary in space and time and are oriented by a proximodistal polarity field. The resulting tissue conflicts lead to deformation of the tissue as it grows. The model allows us to identify tissue-specific and temporally specific activities required to obtain the individual shapes. One such activity may be provided by the valve-identity gene FRUITFULL, which we show through comparative mutant analysis to modulate fruit shape during post-fertilisation growth of both species. Simple modulations of the model presented here can also broadly account for the variety of shapes in other Brassicaceae species, thus providing a simplified framework for fruit development and shape diversity

Can the fire and rescue service work with primary care to improve identification of mental health problems in older adults?

Mental ill-health in older adults (aged 60 years and over) is often under-diagnosed and under-treated. Older adults are less likely to access mental health services due to perceived stigma and fear of being a burden. Non-traditional providers of healthcare, such as the Fire and Rescue Service (FRS) may provide a possible solution to facilitate early detection of problems and help-seeking among older adults, especially in the context of pressured statutory services. The aim of this study was to examine whether and how Fire and Rescue Service Home Fire Safety Visits (HFSV) could be optimized to include detection and sign-posting for mental health problems, particularly anxiety and depression, in older adults. A mixed-method qualitative study took place in the West Midlands, UK, in 2022. This study involved focus groups (n=24), and interviews with Fire and Rescue Service staff (n=4), to develop an in-depth, contextual understanding of acceptability and feasibility of expanding the HFSV to include identification of anxiety and depression. FRS staff were open to expanding their HFSVs to include more on mental health, providing they had sufficient training and support from partner agencies in primary and social care settings to accept referrals for service users (SU) presenting with symptoms of anxiety and/or depression. The positive reputation of FRS staff and engagement with older adults suggests that Home Fire Safety Visits could support the detection of anxiety and depression in older adults and appropriate sign-posting to other services including primary care

Spatiotemporal coordination of cell division and growth during organ morphogenesis

A developing plant organ exhibits complex spatiotemporal patterns of growth, cell division, cell size, cell shape, and organ shape. Explaining these patterns presents a challenge because of their dynamics and cross-correlations, which can make it difficult to disentangle causes from effects. To address these problems, we used live imaging to determine the spatiotemporal patterns of leaf growth and division in different genetic and tissue contexts. In the simplifying background of the speechless (spch) mutant, which lacks stomatal lineages, the epidermal cell layer exhibits defined patterns of division, cell size, cell shape, and growth along the proximodistal and mediolateral axes. The patterns and correlations are distinctive from those observed in the connected subepidermal layer and also different from the epidermal layer of wild type. Through computational modelling we show that the results can be accounted for by a dual control model in which spatiotemporal control operates on both growth and cell division, with cross-connections between them. The interactions between resulting growth and division patterns lead to a dynamic distributions of cell sizes and shapes within a deforming leaf. By modulating parameters of the model, we illustrate how phenotypes with correlated changes in cell size, cell number, and organ size may be generated. The model thus provides an integrated view of growth and division that can act as a framework for further experimental study

A Genome-wide Association Study of Dupuytren Disease Reveals 17 Additional Variants Implicated in Fibrosis

Individuals with Dupuytren disease (DD) are commonly seen by physicians and surgeons across multiple specialties. It is an increasingly common and disabling fibroproliferative disorder of the palmar fascia, which leads to flexion contractures of the digits, and is associated with other tissue-specific fibroses. DD affects between 5% and 25% of people of European descent and is the most common inherited disease of connective tissue. We undertook the largest GWAS to date in individuals with a surgically validated diagnosis of DD from the UK, with replication in British, Dutch, and German individuals. We validated association at all nine previously described signals and discovered 17 additional variants with p ≤ 5 × 10-8. As a proof of principle, we demonstrated correlation of the high-risk genotype at the statistically most strongly associated variant with decreased secretion of the soluble WNT-antagonist SFRP4, in surgical specimen-derived DD myofibroblasts. These results highlight important pathways involved in the pathogenesis of fibrosis, including WNT signaling, extracellular matrix modulation, and inflammation. In addition, many associated loci contain genes that were hitherto unrecognized as playing a role in fibrosis, opening up new avenues of research that may lead to novel treatments for DD and fibrosis more generally. DD represents an ideal human model disease for fibrosis research

Oriented clonal cell dynamics enables accurate growth and shaping of vertebrate cartilage.

Cartilaginous structures are at the core of embryo growth and shaping before the bone forms. Here we report a novel principle of vertebrate cartilage growth that is based on introducing transversally-oriented clones into pre-existing cartilage. This mechanism of growth uncouples the lateral expansion of curved cartilaginous sheets from the control of cartilage thickness, a process which might be the evolutionary mechanism underlying adaptations of facial shape. In rod-shaped cartilage structures (Meckel, ribs and skeletal elements in developing limbs), the transverse integration of clonal columns determines the well-defined diameter and resulting rod-like morphology. We were able to alter cartilage shape by experimentally manipulating clonal geometries. Using in silico modeling, we discovered that anisotropic proliferation might explain cartilage bending and groove formation at the macro-scale