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A typical approach to the joint analysis of two high-dimensional datasets is to decompose each data matrix into three parts: a low-rank common matrix that captures the shared information across datasets, a low-rank distinctive matrix that characterizes the individual information within a single dataset, and an additive noise matrix. Existing decomposition methods often focus on the orthogonality between the common and distinctive matrices, but inadequately consider the more necessary orthogonal relationship between the two distinctive matrices. The latter guarantees that no more shared information is extractable from the distinctive matrices. We propose decomposition-based canonical correlation analysis (D-CCA), a novel decomposition method that defines the common and distinctive matrices from the space of random variables rather than the conventionally used Euclidean space, with a careful construction of the orthogonal relationship between distinctive matrices. D-CCA represents a natural generalization of the traditional canonical correlation analysis. The proposed estimators of common and distinctive matrices are shown to be consistent and have reasonably better performance than some state-of-the-art methods in both simulated data and the real data analysis of breast cancer data obtained from The Cancer Genome Atlas. Supplementary materials for this article are available online.

In this study, Mn2+ and Eu2+-codoped Sr3−xBaxMgSi2O8 (x = 0–1.5) phosphors were synthesized at 1400 °C under a reducing atmosphere composed of 5% H2 and 95% N2 to produce materials with blue light emission. The resulting powders were characterized using several analytical techniques: X-ray diffraction (XRD) was employed to identify the crystalline phases, scanning electron microscopy (SEM) was used to observe the microstructure, and photoluminescence excitation (PLE) and emission (PL) spectra were measured using a fluorescence spectrophotometer. The results revealed several key findings. XRD analysis showed that the Sr3MgSi2O8 (Sr3−xBaxMgSi2O8) phase coexisted with secondary phases of Sr2SiO4 and Sr2MgSi2O7. SEM observations indicated that the synthesized powders exhibited a distinctive needle-like structure anchored on the surfaces of the particles. The PL and PLE intensities increased sharply as the BaO content increased from x = 0 to x = 0.6, followed by a more gradual increase, reaching a peak at x = 1.2. Additionally, as the value of x increased, the wavelengths corresponding to maximum PL and PLE intensities exhibited a blue shift, moving to shorter wavelengths. Further investigation focused on the excitation behavior by replotting the PLE spectra using energy (eV) as the x-axis. A Gaussian fitting function was applied to deconvolute the excitation bands, enabling an in-depth analysis of how compositional variations influenced the Stokes shift.

We develop a model of the market for federal funds that explicitly accounts for its two distinctive features: banks have to search for a suitable counterparty, and once they meet, both parties negotiate the size of the loan and the repayment. The theory is used to answer a number of positive and normative questions: What are the determinants of the fed funds rate? How does the market reallocate funds? Is the market able to achieve an efficient reallocation of funds? We also use the model for theoretical and quantitative analyses of policy issues facing modern central banks.

The doubling of the gray divorce rate (i.e., divorce at age 50 or older) over the past few decades portends growth in later-life repartnering, yet little is known about the mechanisms undergirding decisions to repartner after gray divorce. Using data from the 1998-2014 Health and Retirement Study, we examined women's and men's likelihoods of forming a remarriage or cohabiting union following gray divorce by estimating competing risk multinomial logistic regression models using discrete-time event history data. About 22 % of women and 37 % of men repartnered within 10 years after gray divorce. Repartnering more often occurred through cohabitation than remarriage, particularly for men. Resources such as economic factors, health, and social ties were linked to repartnering, but constraints captured by the contours of the marital biography were also salient, underscoring the distinctive features of union formation in later life.

Organizational boundaries are a central phenomenon, yet despite their significance, research is dominated by transaction cost economics and related exchange-efficiency perspectives. While useful, it is time to engage in a broader view. Our purpose is to provide a deeper understanding of organizational boundaries. First, we develop four boundary conceptions (efficiency, power, competence, and identity) and their distinctive features including organizational and environmental assumptions, unique conception of boundaries, theoretical arguments, empirical validity, contributions, and limitations. Efficiency takes a legal-ownership view of atomistic boundary decisions. In contrast, the power conception emphasizes the sphere of influence of the organization, while competence focuses on the resource portfolio and its related configuration, and identity centers on the often unconscious mind-set by which organizational members understand \"who we are.\" We also indicate relationships, both coevolutionary and synergistic, among the conceptions. Second, we juxtapose these conceptions with the current literature to create a springboard for a renewed research agenda. This agenda includes greater focus on nonefficiency perspectives, relationships (not competition) among boundary conceptions, studies that take the normative implication of theories more seriously, and problem-driven research on contemporary boundary issues such as contract employment and business ecosystems.

The fabrication of magnetic carbon nanostructures is emerging to develop composites with unique properties. Consolidating magnetic nanoparticles with carbon materials can be used in nanoelectronics, catalysis, optical application, biosensors, environmental remediation, energy, hydrogen storage, drug transport, magnetic resonance imaging and cancer diagnosis. In addition, thermochemical methods such as hydrothermal carbonization and pyrolysis are low energy processes that offer an efficient synthesis of the controlled morphology of magnetic carbon nanocomposite. These methods provide chemical and morphological improvements of the structure, such as high surface area, ordered nanosizes, crystal matrix, material stability, electrical conductivity, magnetic saturation and coercivity. This paper reviews the fabrication and properties of magnetic carbon nanocomposites.

This article explores the association between persistence of high-growth and crucial dimensions of firm structure and performance (productivity, profits, investment patterns, innovation, and financial structures) to shed light on what makes a persistent high-growth firm. We employ a multidimensional definition of a high-growth firm that simultaneously accounts for growth of sales and employment, and design an empirical strategy that seeks to capture the “long-run” ability of high-growth firms to replicate their high-growth performance over time. Exploiting a large panel covering the period of the China’s miracle, we find that none of the considered firm attributes stands out as distinctive feature of persistent highgrowth. This finding casts doubts on the long-run contribution of high-growth firms, in turn challenging the long-run effectiveness of policies supporting the creation and expansion of such firms.

Purpose The purpose of this study is the detection and comparison of distinctive features of Gazelle firms (GFs) at three stages evolution outside the typical boundaries.Design/methodology/approach The study uses Analysis of Variance and logistic regression to tests the performance of 2427 gazelles for (GFs) a five-year period (2015–2020).Findings The study found that GFs prediction probability is low. In their second and third stages of evolution (initial growth and continuing growth), the gazelle growth effects appear. They are more effective in terms of profitability and turnover due to increasing sales and size.Practical implications This study shows that stakeholders should give preference to GFs that demonstrate long-term (steady) growth. Such firms are more efficient and financially stable than firms with high short-term growth.Originality/value The present study identifies patterns in the generation and development of GFs in high-tech industries outside the typical boundaries.

While consonant acquisition clearly requires mastery of different articulatory configurations (segments), sub-segmental features and suprasegmental contexts influence both order of acquisition and mismatch (error) patterns (Bérubé, Bernhardt, Stemberger & Ciocca, 2020). Constraints-based nonlinear phonology provides a comprehensive framework for investigating the impact of sub- and suprasegmental impacts on acquisition (Bernhardt & Stemberger, 1998). The current study adopted such a framework in order to investigate these questions for Granada Spanish. Single-word samples of monolingual preschoolers in Granada (29 typically developing; 30 with protracted phonological development) were transcribed by native Spanish speakers in consultation with an international team. Beta regression analyses showed significant effects of age, developmental group, and word structure variables (word length, stress, position of consonants and syllables within the word); salience, markedness and/or frequency across the phonological hierarchy accounted for many patterns. The study further demonstrates the impacts of sub- and suprasegmental constraints of the phonological system on consonant acquisition.