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"Wei, Ning"
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Business continuity management system : a complete framework for implementing ISO 22301
\"A Business Continuity Management System (BCMS) is a management framework that creates controls to address risks and measure an organization's ability to manage disruptions. The International Standard, ISO 22301, helps protect against the threats, including natural disaster, IT failure, staff illness, terrorist threat or a disruption in the supply chain. It provides a framework for assessing critical suppliers and their associated risks, assessing current business practices and planning contingency measures, so when disruptions happen, businesses are prepared and able to respond effectively.Business Continuity Management System offers a complete guide to implementing a fit-for-purpose resilience capability in any organization. Structured in line with ISO22301 and with a focus on performance improvement throughout, chapters cover developing, establishing and operating a BCMS initiative. Built upon the principles of the International Standard and current best practice, with a practical focus on theories and models, this book offers an objective, thorough solution for the practitioner. \"-- Provided by publisher.
Book
Sex differences in cardiac dynamics during myocardial ischemia using a single cell approach
Myocardial ischemia, arising from severe blockages in coronary arteries, poses a significant global health risk due to its potential to cause arrhythmia and heart failure, often leading to sudden cardiac death. During acute myocardial ischemia, profound changes occur in cardiac electrophysiology and anatomy, influencing action potential morphology and propagation, which increased susceptibility to arrhythmias. Sex differences play a critical role in myocardial ischemia and arrhythmogenesis. Females exhibit distinct genetic and hormonal influences on ion channel expression and cardiac function, affecting susceptibility to arrhythmias like Torsade de Pointes. Using the O’Hara-Rudy dynamic (ORd) model, this study shows that females are more likely than males to exhibit cardiac alternans (2:2), a periodic variation in action potential duration between consecutive heartbeats, as well as 2:1 arrhythmic behaviors-characterized by inexcitability in the even beats-under ischemic conditions. Additionally, hormones further exacerbate these gender differences. Moreover, females show a higher propensity than males to terminate 2:2 and 2:1 arrhythmic responses during ischemia treatment. This manuscript aims to uncover sex-specific disparities in electrophysiological responses and drug reactions during myocardial ischemia using the optimized ORd model. These findings underscore the importance of considering sex-specific factors in cardiovascular research and clinical practice.
Journal Article
Proactive Personality and Creative Behavior
This study examines the link between proactive personality and creative behavior by focusing on employee thriving at work as a mediator. Data from 438 employees and their supervisors were collected and examined by conducting structural equation modeling. This analysis revealed that employee thriving at work fully mediates the relationship between proactive personality and creative behavior. Additionally, the results showed that the perceived presence of high-involvement human resources (HR) practices in the organization enhances the tendency of proactive individuals to thrive at work. The paper concludes with a discussion of the implications for theory and practice as well as on directions for future research.
Journal Article
On Generative Spoken Language Modeling from Raw Audio
We introduce
, the task of learning the acoustic and linguistic characteristics of a language from raw audio (no text, no labels), and a set of metrics to automatically evaluate the learned representations at acoustic and linguistic levels for both encoding and generation. We set up baseline systems consisting of a discrete speech encoder (returning pseudo-text units), a generative language model (trained on pseudo- text), and a speech decoder (generating a waveform from pseudo-text) all trained without supervision and validate the proposed metrics with human evaluation. Across 3 speech encoders (CPC, wav2vec 2.0, HuBERT), we find that the number of discrete units (50, 100, or 200) matters in a task-dependent and encoder- dependent way, and that some combinations approach text-based systems.
Journal Article
Demographically idiosyncratic responses to climate change and rapid Pleistocene diversification of the walnut genus Juglans (Juglandaceae) revealed by whole-genome sequences
Whether species demography and diversification are driven primarily by extrinsic environmental changes such as climatic oscillations in the Quaternary or by intrinsic biological interactions like coevolution between antagonists is a matter of active debate. In fact, their relative importance can be assessed by tracking past population fluctuations over considerable time periods.
We applied the pairwise sequentially Markovian coalescent approach on the genomes of 11 temperate Juglans species to estimate trajectories of changes in effective population size (N
e) and used a Bayesian-coalescent based approach that simultaneously considers multiple genomes (G-PhoCS) to estimate divergence times between lineages.
N
e curves of all study species converged 1.0 million yr ago, probably reflecting the time when the walnut genus last shared a common ancestor. This estimate was confirmed by the G-PhoCS estimates of divergence times. But all species did not react similarly to the dramatic climatic oscillations following early Pleistocene cooling, so the timing and amplitude of changes in N
e differed among species and even among conspecific lineages.
The population histories of temperate walnut species were not driven by extrinsic environmental changes alone, and a key role was probably played by species-specific factors such as coevolutionary interactions with specialized pathogens.
Journal Article
Generative Spoken Dialogue Language Modeling
We introduce dGSLM, the first “textless” model able to generate audio samples of naturalistic spoken dialogues. It uses recent work on unsupervised spoken unit discovery coupled with a dual-tower transformer architecture with cross-attention trained on 2000 hours of two-channel raw conversational audio (Fisher dataset) without any text or labels. We show that our model is able to generate speech, laughter, and other paralinguistic signals in the two channels simultaneously and reproduces more naturalistic and fluid turn taking compared to a text-based cascaded model.
,
Journal Article
Phylogeographic breaks within Asian butternuts indicate the existence of a phytogeographic divide in East Asia
East Asia has been hypothesized to be subdivided into two distinct northern and southern areas, separated by a band of dry climate that was far more severe in the early Tertiary but still exists today. However, this biogeographic hypothesis has rarely been tested using a molecular phylogeographic approach. We genotyped 70 populations throughout the distributional range of Asian butternuts (Juglans section Cardiocaryon) using eight chloroplast DNA regions, one single‐copy nuclear gene, and 17 nuclear microsatellite loci, supplemented with paleodistribution modeling of the major genetic clades. The genetic data consistently identified two clades, one northern, comprising Juglans mandshurica and Juglans ailantifolia, and one southern, comprising Juglans cathayensis. The two clades diverged through climate‐induced vicariance of an ancestral northern range during the mid‐Miocene and remained mostly separate thereafter, with geographical isolation of the Japanese Islands and refugial isolation or secondary contacts in the late Pleistocene producing further subdivision within the northern clade. But beyond all that, we also discovered a role of environmental adaptation in maintaining and/or reinforcing the north–south divergence. Asian butternuts offer a strong case for the existence of a biogeographic divide between the northern and southern parts of East Asia during the Neogene and into the Pleistocene.
Journal Article
Overall survival prediction of non-small cell lung cancer by integrating microarray and clinical data with deep learning
Non-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate prognostic stratification of NSCLC can become an important clinical reference when designing therapeutic strategies for cancer patients. With this clinical application in mind, we developed a deep neural network (DNN) combining heterogeneous data sources of gene expression and clinical data to accurately predict the overall survival of NSCLC patients. Based on microarray data from a cohort set (614 patients), seven well-known NSCLC biomarkers were used to group patients into biomarker- and biomarker+ subgroups. Then, by using a systems biology approach, prognosis relevance values (PRV) were then calculated to select eight additional novel prognostic gene biomarkers. Finally, the combined 15 biomarkers along with clinical data were then used to develop an integrative DNN via bimodal learning to predict the 5-year survival status of NSCLC patients with tremendously high accuracy (AUC: 0.8163, accuracy: 75.44%). Using the capability of deep learning, we believe that our prediction can be a promising index that helps oncologists and physicians develop personalized therapy and build the foundation of precision medicine in the future.
Journal Article
An untargeted fecal and urine metabolomics analysis of the interplay between the gut microbiome, diet and human metabolism in Indian and Chinese adults
Gut microbiome plays a vital role in human health. Human fecal and urine metabolome could provide a functional readout of gut microbial metabolism as well as its interaction with host and diet. However, this relationship still needs to be fully characterized. We established an untargeted GC-MS metabolomics method which enabled the detection of 122 and 86 metabolites including amino acids, phenolics, indoles, carbohydrates, sugars and metabolites of microbial origin from fecal and urine samples respectively. 41 compounds were confirmed using external standards. Next, we compared the fecal and urine metabolome of 16 healthy Indian and Chinese adults, ages 22–35 years, using a combined GC-MS and LC-MS approach. We showed dietary habit or ethnicity wise grouping of urine and fecal metabolite profiles of Indian and Chinese adults. Our analysis revealed 53 differentiating metabolites including higher abundance of amino acids and phenolics in Chinese and higher abundance of fatty acids, glycocholic acid, metabolites related to tryptophan metabolism in Indian adults. Correlation analysis showed a strong association of metabolites with gut bacterial profiles of the same subjects in the genus and species level. Thus, our results suggest that gut bacterial compositional changes could be eventually monitored and probed using a metabolomics approach.
Journal Article
Giant room temperature anomalous Hall effect and tunable topology in a ferromagnetic topological semimetal Co2MnAl
Weyl semimetals exhibit unusual surface states and anomalous transport phenomena. It is hard to manipulate the band structure topology of specific Weyl materials. Topological transport phenomena usually appear at very low temperatures, which sets challenges for applications. In this work, we demonstrate the band topology modification via a weak magnetic field in a ferromagnetic Weyl semimetal candidate, Co
2
MnAl, at room temperature. We observe a tunable, giant anomalous Hall effect (AHE) induced by the transition involving Weyl points and nodal rings. The AHE conductivity is as large as that of a 3D quantum AHE, with the Hall angle (
Θ
H
) reaching a record value (
tan
Θ
H
=
0.21
) at the room temperature among magnetic conductors. Furthermore, we propose a material recipe to generate large AHE by gaping nodal rings without requiring Weyl points. Our work reveals an intrinsically magnetic platform to explore the interplay between magnetic dynamics and topological physics for developing spintronic devices.
Band topology of Weyl semimetals is usually predetermined by material parameters and can hardly be manipulated, and their transport properties appear at low temperature. Here, the authors modify the topology via a weak magnetic field and observe a giant anomalous Hall effect at room temperature.
Journal Article