bluuebunny/crossref_metadata_2025_split huggingface dataset:
Table2Vec-automated universal representation learning of enterprise data DNA for benchmarkable and explainable enterprise data science
Authors: Cao Longbing , Zhu Chengzhang 
Published: December 2021

AbstractEnterprise data typically involves multiple heterogeneous data sources and external data that respectively record business activities, transactions, customer demographics, status, behaviors, interactions and communications with the enterprise, and the consumption and feedback of its products, services, production, marketing, operations, and management, etc. They involve enterprise DNA associated with domain-oriented transactions and master data, informational and operational metadata, and relevant external data. A critical challenge in enterprise data science is to enable an effective ‘whole-of-enterprise’ data understanding and data-driven discovery and decision-making on all-round enterprise DNA. Accordingly, here we introduce a neural encoder Table2Vec for automated universal representation learning of entities such as customers from all-round enterprise DNA with automated data characteristics analysis and data quality augmentation. The learned universal representations serve as representative and benchmarkable enterprise data genomes (similar to biological genomes and DNA in organisms) and can be used for enterprise-wide and domain-specific learning tasks. Table2Vec integrates automated universal representation learning on low-quality enterprise data and downstream learning tasks. Such automated universal enterprise representation and learning cannot be addressed by existing enterprise data warehouses (EDWs), business intelligence and corporate analytics systems, where ‘enterprise big tables’ are constructed with reporting and analytics conducted by specific analysts on respective domain subjects and goals. It addresses critical limitations and gaps of existing representation learning, enterprise analytics and cloud analytics, which are analytical subject, task and data-specific, creating analytical silos in an enterprise. We illustrate Table2Vec in characterizing all-round customer data DNA in an enterprise on complex heterogeneous multi-relational big tables to build universal customer vector representations. The learned universal representation of each customer is all-round, representative and benchmarkable to support both enterprise-wide and domain-specific learning goals and tasks in enterprise data science. Table2Vec significantly outperforms the existing shallow, boosting and deep learning methods typically used for enterprise analytics. We further discuss the research opportunities, directions and applications of automated universal enterprise representation and learning and the learned enterprise data DNA for automated, all-purpose, whole-of-enterprise and ethical machine learning and data science.
Extracellular volume is an independent predictor of arrhythmic burden in dilated cardiomyopathy
Authors: Rubiś Pawel P. , Dziewięcka Ewa M. , Banyś Paweł , Urbańczyk-Zawadzka Małgorzata , Krupiński Maciej , Mielnik Małgorzata , Łach Jacek , Ząbek Andrzej , Wiśniowska-Śmiałek Sylwia , Podolec Piotr , Karabinowska Aleksandra , Holcman Katarzyna , Garlitski Ann C. 
Published: December 2021

AbstractThe current stratification of arrhythmic risk in dilated cardiomyopathy (DCM) is sub-optimal. Cardiac fibrosis is involved in the pathology of arrhythmias; however, the relationship between cardiovascular magnetic resonance (CMR) derived extracellular volume (ECV) and arrhythmic burden (AB) in DCM is unknown. This study sought to evaluate the presence and extent of replacement and interstitial fibrosis in DCM and to compare the degree of fibrosis between DCM patients with and without AB. This is a prospective, single-center, observational study. Between May 2019 and September 2020, 102 DCM patients underwent CMR T1 mapping. 99 DCM patients (88 male, mean age 45.2 ± 11.8 years, mean EF 29.7 ± 10%) composed study population. AB was defined as the presence of VT or a high burden of PVCs. There were 41 (41.4%) patients with AB and 58 (58.6%) without AB. Replacement fibrosis was assessed with late gadolinium enhancement (LGE), whereas interstitial fibrosis with ECV. Overall, LGE was identified in 41% of patients. There was a similar distribution of LGE (without AB 50% vs. with AB 53.7%;p = 0.8) and LGE extent (without AB 4.36 ± 5.77% vs. with AB 4.68 ± 3.98%;p = 0.27) in both groups. ECV at nearly all myocardial segments and a global ECV were higher in patients with AB (global ECV: 27.9 ± 4.9 vs. 30.3 ± 4.2;p < 0.02). Only indexed left ventricular end-diastolic diameter (HR 1.1, 95%CI 1.0–1.2;p < 0.02) and global ECV (HR 1.12, 95%CI 1.0–1.25;p < 0.02) were independently associated with AB. The global ECV cut-off value of 31.05% differentiated both groups (AUC 0.713; 95%CI 0.598–0.827;p < 0.001). Neither qualitative nor quantitative LGE-based assessment of replacement fibrosis allowed for the stratification of DCM patients into low or high AB. Interstitial fibrosis, expressed as ECV, was an independent predictor of AB in DCM. Incorporation of CMR parametric indices into decision-making processes may improve arrhythmic risk stratification in DCM.
Comprehensive transcriptome characterization of Grus japonensis using PacBio SMRT and Illumina sequencing
Authors: Ye Wentao , Xu Wei , Xu Nan , Chen Rong , Lu Changhu , Liu Hongyi 
Published: December 2021

AbstractThe red-crowned crane (Grus japonensis) is an endangered species distributed across southeast Russia, northeast China, Korea, and Japan. Here, we sequenced for the first time the full-length unreferenced transcriptome of red-crowned crane mixed samples using a PacBio Sequel platform. A total of 359,136 circular consensus sequences (CCS) were obtained via clustering to remove redundancy. A total of 303,544 full-length non-chimeric sequences were identified by judging whether CCS contained 5′ and 3′ adapters, and the poly(A) tail. Eight samples were sequenced using Illumina, and PacBio sequencing data were corrected according to the collected Illumina data to obtain more accurate full-length transcripts. A total of 4,100 long non-coding RNAs, 13,115 simple sequences repeat loci and 29 transcription factor families were identified. The expression of lncRNAs and TFs in pancreas was lowest comparing with other tissues. Many enriched immune-related transmission pathways (MHC and IL receptors) were identified in the spleen. This study will contribute to a better understanding of the gene structure and post-transcriptional regulatory network, and provide references for future studies on red-crowned cranes.
Stability of healthy subgingival microbiome across space and time
Authors: Tamashiro Ryan , Strange Leah , Schnackenberg Kristin , Santos Janelle , Gadalla Hana , Zhao Lisa , Li Eric C. , Hill Emilie , Hill Brett , Sidhu Gurjit , Kirst Mariana , Walker Clay , Wang Gary P. 
Published: December 2021

AbstractThe subgingival microbiome is one of the most stable microbial ecosystems in the human body. Alterations in the subgingival microbiome have been associated with periodontal disease, but their variations over time and between different subgingival sites in periodontally healthy individuals have not been well described. We performed extensive, longitudinal sampling of the subgingival microbiome from five periodontally healthy individuals to define baseline spatial and temporal variations. A total of 251 subgingival samples from 5 subjects were collected over 6–12 months and deep sequenced. The overall microbial diversity and composition differed significantly between individuals. Within each individual, we observed considerable differences in microbiome composition between different subgingival sites. However, for a given site, the microbiome was remarkably stable over time, and this stability was associated with increased microbial diversity but was inversely correlated with the enrichment of putative periodontal pathogens. In contrast to microbiome composition, the predicted functional metagenome was similar across space and time, suggesting that periodontal health is associated with shared gene functions encoded by different microbiome consortia that are individualized. To our knowledge, this is one of the most detailed longitudinal analysis of the healthy subgingival microbiome to date that examined the longitudinal variability of different subgingival sites within individuals. These results suggest that a single measurement of the healthy subgingival microbiome at a given site can provide long term information of the microbial composition and functional potential, but sampling of each site is necessary to define the composition and community structure at individual subgingival sites.
The utilization of Blaptica dubia cockroaches as an in vivo model to test antibiotic efficacy
Authors: Collins Elliot , Martin Caleb , Blomquist Tyler , Phillips Katherine , Cantlay Stuart , Fisher Nathan , Horzempa Joseph 
Published: December 2021

AbstractInsects are now well recognized as biologically relevant alternative hosts for dozens of mammalian pathogens and they are routinely used in microbial pathogenesis studies. Unfortunately, these models have yet to be incorporated into the drug development pipeline. The purpose of this work was to begin to evaluate the utility of orange spotted (Blaptica dubia) cockroaches in early antibiotic characterization. To determine whether these model hosts could exhibit mortality when infected with bacteria that are pathogenic to humans, we subjected B. dubia roaches to a range of infectious doses of Klebsiella pneumoniae, Escherichia coli, Staphylococcus aureus, and Acinetobacter baumannii to identify the medial lethal dose. These results showed that lethal disease did not develop following infection of high doses of S. aureus, and A. baumannii. However, cockroaches infected with E. coli and K. pneumoniae succumbed to infection (LD50s of 5.82 × 106 and 2.58 × 106 respectively) suggesting that this model may have limitations based on pathogen specificity. However, because these cockroaches were susceptible to infection from E. coli and K. pneumoniae, we used these bacterial strains for subsequent antibiotic characterization studies. These studies suggested that β-lactam antibiotic persistence and dose was associated with reduction of hemolymph bacterial burden. Moreover, our data indicated that the reduction of bacterial CFU was directly due to the drug activity. Altogether, this work suggests that the orange-spotted cockroach infection model provides an alternative in vivo setting from which antibiotic efficacy can be evaluated.
Valorization of winery and distillery by-products by hydrothermal carbonization
Authors: Barbanera Marco , Cardarelli Alessandro , Carota Eleonora , Castellini Marco , Giannoni Tommaso , Ubertini Stefano 
Published: December 2021

AbstractThis work aims at finding an alternative strategy to manage the waste generated by the winemaking industry to obtain a solid biofuel and phenolic compounds. The effect of temperature (180–260 °C), residence time (1–7 h), and biomass-to-liquid ratio (0.05–0.25) on the co-hydrothermal carbonization of vine pruning and exhausted grape pomace, by using vinasse as moisture source, is studied. The effect of the variables is investigated and optimized using the Box–Behnken design of response surface methodology to maximize mass yield, fuel ratio, energy densification yield and phenols extraction yield and to minimize energy consumption. The statistical analysis shows that the carbonization temperature is a crucial parameter of the process, decreasing the product yield on one hand and improving the quality of hydrochar on the other. At the optimal conditions (246.3 °C, 1.6 h, 0.066), an hydrochar yield of 52.64% and a calorific value of 24.1 MJ/kg were obtained. Moreover, the analysis of the H/C and O/C ratios of hydrochars demonstrates that carbonisation significantly improves the fuel properties of solid biofuel. Liquid by-products obtained from the HTC process are found to contain high concentrations of organic matter but the BOD/COD ratios suggest their potential valorization by biological methods.
In situ lymphoma imaging in a spontaneous mouse model using the Cerenkov Luminescence of F-18 and Ga-67 isotopes
Authors: Ritter Zsombor , Zámbó Katalin , Balogh Péter , Szöllősi Dávid , Jia Xinkai , Balázs Ákos , Taba Gabriella , Dezső Dániel , Horváth Ildikó , Alizadeh Hussain , Tuch David , Vyas Kunal , Hegedűs Nikolett , Kovács Tibor , Szigeti Krisztián , Máthé Domokos , Schmidt Erzsébet 
Published: December 2021

AbstractCerenkov luminescence imaging (CLI) is a promising approach to image-guided surgery and pathological sampling. It could offer additional advantages when combined to whole-body isotope tomographies. We aimed to obtain evidence of its applicability in lymphoma patho-diagnostics, thus we decided to investigate the radiodiagnostic potential of combined PET or SPECT/CLI in an experimental, novel spontaneous high-grade B-cell lymphoma mouse model (Bc.DLFL1). We monitored the lymphoma dissemination at early stage, and at clinically relevant stages such as advanced stage and terminal stage with in vivo 2-deoxy-2-[18F]fluoro-d-glucose (FDG) positron emission tomography (PET)/magnetic resonance imaging (MRI) and 67Ga-citrate single photon emission computed tomography (SPECT)/MRI. In vivo imaging was combined with ex vivo high resolution CLI. The use of CLI with 18F-Fluorine (F-18) and 67Ga-Gallium isotopes in the selection of infiltrated lymph nodes for tumor staging and pathology was thus tested. At advanced stage, FDG PET/MRI plus ex vivo CLI allowed accurate detection of FDG accumulation in lymphoma-infiltrated tissues. At terminal stage we detected tumorous lymph nodes with SPECT/MRI and we could report in vivo detection of the Cerenkov light emission of 67Ga. CLI with 67Ga-citrate revealed lymphoma accumulation in distant lymph node locations, unnoticeable with only MRI. Flow cytometry and immunohistochemistry confirmed these imaging results. Our study promotes the combined use of PET and CLI in preclinical studies and clinical practice. Heterogeneous FDG distribution in lymph nodes, detected at sampling surgery, has implications for tissue pathology processing and it could direct therapy. The results with 67Ga also point to the opportunities to further apply suitable SPECT radiopharmaceuticals for CLI.
First report from a single center retrospective study in Kazakhstan on acute myeloid leukemia treatment outcomes
Authors: Kulkayeva G. U. , Kemaykin V. M. , Kuttymuratov A. M. , Burlaka Z. I. , Saparbay J. Z. , Zhakhina G. T. , Adusheva A. A. , Dosayeva S. D. 
Published: December 2021

AbstractAcute myeloid leukemia (AML) is the most common hematological malignancy in adults. In the last decade, internationally approved AML treatment guidelines, including hematopoietic stem cell transplantation are widely used in Kazakhstan. The categorization of acute myeloid leukemia was done according to the French-American British classification. The prognosis of patients at the time of diagnosis was determined by cytogenetic tests following the guidelines of the European LeukemiaNet. The overall survival and event-free survival were analyzed using the Kaplan–Meier method, and hazard ratios were defined with Cox regression. In total, 398 patients with AML were treated in the National Research Oncology Center between 2010 and 2020. The mean age was 38.3 years. We found a correlation between ethnicity, cytogenetic group, white blood cell count, and treatment approaches with overall and event-free survival. There was a significantly longer OS in a cytogenetic group with a good prognosis compared with intermediate and poor prognosis. The median survival time in the group with a good prognosis was 43 months, 23 months in the intermediate group (p = 0.7), and 12 months in the poor prognosis group (p = 0.016). There was a significantly longer OS for the group of patients who received hematopoietic stem cell transplantation (HSCT), 52 months versus 10 months in the group who received chemotherapy only, p-value < 0.0001. Prognostic factors, such as cytogenetic group, initial WBC count, and treatment approaches are significantly associated with patient survival. Our study data were consistent with the most recent studies, available in the literature adjusted for the population in question.
Effects of Noise and a Speaker's Impaired Voice Quality on Spoken Language Processing in School-Aged Children: A Systematic Review and Meta-Analysis
Authors: Schiller Isabel S. , Remacle Angélique , Durieux Nancy , Morsomme Dominique 
Published: December 2021

Purpose:Background noise and voice problems among teachers can degrade listening conditions in classrooms. The aim of this literature review is to understand how these acoustic degradations affect spoken language processing in 6- to 18-year-old children.Method:In a narrative report and meta-analysis, we systematically review studies that examined the effects of noise and/or impaired voice on children's response accuracy and response time (RT) in listening tasks. We propose the Speech Processing under Acoustic DEgradations (SPADE) framework to classify relevant findings according to three processing dimensions—speech perception, listening comprehension, and auditory working memory—and highlight potential moderators.Results:Thirty-one studies are included in this systematic review. Our meta-analysis shows that noise can impede children's accuracy in listening tasks across all processing dimensions (Cohen'sdbetween −0.67 and −2.65, depending on signal-to-noise ratio) and that impaired voice lowers children's accuracy in listening comprehension tasks (d= −0.35). A handful of studies assessed RT, but results are inconclusive. The impact of noise and impaired voice can be moderated by listener, task, environmental, and exposure factors. The interaction between noise and impaired voice remains underinvestigated.Conclusions:Overall, this review suggests that children have more trouble perceiving speech, processing verbal messages, and recalling verbal information when listening to speech in noise or to a speaker with dysphonia. Impoverished speech input could impede pupils' motivation and academic performance at school.Supplemental Material:https://doi.org/10.23641/asha.17139377
The Speech-Language Pathologist Evaluating Appropriateness of Learning Apps as a Service Delivery Model for Children With Hearing Loss
Authors: Flinner Katrina , Sullivan Jessica 
Published: December 2021

Purpose:
This study aimed to gain insight from speech-language pathologists (SLPs) regarding appealing features of speech and language applications to use as a service delivery model in schools for children who have a hearing loss.

Method:
A 1-hr focus group was conducted with three SLPs to identify appealing design features of speech and language apps, their benefits, and potential concerns. Participants were provided two speech and language applications to navigate through and review. Participants responded to Likert scale surveys and verbally provided benefits and drawbacks of the features as part of the structured discussion.

Results:
SLPs identified a range of appealing features for speech and language apps to utilize as a service delivery model for children with hearing loss. They preferred interfaces that allowed the opportunity for SLP and student collaboration rather than student isolation.

Conclusions:
SLPs have valuable input in regard to future speech and language app design informed by their experiences with children with hearing loss. SLPs are key stakeholders in the design process and should be included in future design and research endeavors.
A Floquet theory‐based fast time‐domain stability analysis for N‐parallel inverters system
Authors: Li Hong , Jiang Xiaheng , Liu Chen , Li Zhong , Franquelo Leopoldo G. , Vazquez Sergio 
Published: December 2021

AbstractBased on Floquet theory, a simple and fast time‐domain stability analysis method for an N‐parallel inverters system is proposed. Furthermore, a general time‐domain model of the N‐parallel inverters system in grid‐connected mode and in island mode are derived, and the corresponding stability criteria are derived based on the Floquet theory. Subsequently, simulations and experiments of a two‐parallel inverters system in island and grid‐connected modes are conducted to verify the correctness and effectiveness of the proposed time‐domain stability analysis method. To the end, the complexity comparison between the proposed time‐domain method and the traditional frequency‐domain method is presented to prove the advantages of the proposed method over the tedious manual derivation.
Research on short‐term and mid‐long term optimal dispatch of multi‐energy complementary power generation system
Authors: Wang Danhao , Peng Daogang , Huang Dongmei , Ren Lan , Yang Mengxue , Zhao Huirong 
Published: December 2021

AbstractFor the power generation system of wind, photovoltaic, hydro, thermal and out‐purchased electricity, taking the minimum economic cost of thermal power generation as the objective function, an optimal dispatching model including the complementary system of wind‐photovoltaic‐hydro‐thermal‐out purchased electricity is proposed. The power balance and renewable energy accommodation are prerequisites, thermal power unit maintenance plans and various constraints are considered. The improved multi‐objective cuckoo search algorithm was used for short‐term scheduling, and the proposed hybrid firefly and particle swarm optimization was used for mid‐long term scheduling. The results show that the two algorithms can be effectively applied to the short‐term and mid‐long term joint optimal scheduling problem of wind, photovoltaic, hydro, thermal and out‐purchased electricity. It makes the power grid arrange the unit output reasonably, ensure the security and stability operation. It can better absorb renewable energy, reduces coal consumption and pollution, and improves the overall benefit of the system.
5G communication resource allocation strategy based on edge computing
Authors: Cao Lin 
Published: December 2021

AbstractAiming at the problem that most of the existing strategies cannot deal with the explosive growth of user data after the popularization of 5G communication technology, this paper proposes a 5G communication resource allocation strategy based on edge computing. First, the 5G communication network is virtualized to build mobile edge computing system with multiple mobile user equipment and multiple servers. Then, the communication model and calculation model of system are established. Besides, the optimization objectives are proposed based on this, which can minimize total user cost and maximize the success rate of task offloading and successful execution rate. Finally, the resource allocation problem is formalized and modelled as Markov model. The objective is to minimize the ratio of overall system energy consumption to task execution time and delay constraints, the optimal communication resource allocation scheme is obtained by solving it based on Q‐learning algorithm. The experimental demonstration of proposed strategy is carried out based on the python simulation platform. Experimental results show that the total system cost and average delay of proposed strategy do not exceed 500 W and 1000 ms under the experimental conditions; its overall performance is better than other comparison strategies, can meet the interest requirements of users and service providers.