bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine learning is the key to diagnose COVID-19: a proof-of-concept study
Authors: Gangloff Cedric , Rafi Sonia , Bouzillé Guillaume , Soulat Louis , Cuggia Marc 
Published: March 2021

AbstractThe reverse transcription-polymerase chain reaction (RT-PCR) assay is the accepted standard for coronavirus disease 2019 (COVID-19) diagnosis. As any test, RT-PCR provides false negative results that can be rectified by clinicians by confronting clinical, biological and imaging data. The combination of RT-PCR and chest-CT could improve diagnosis performance, but this would requires considerable resources for its rapid use in all patients with suspected COVID-19. The potential contribution of machine learning in this situation has not been fully evaluated. The objective of this study was to develop and evaluate machine learning models using routine clinical and laboratory data to improve the performance of RT-PCR and chest-CT for COVID-19 diagnosis among post-emergency hospitalized patients. All adults admitted to the ED for suspected COVID-19, and then hospitalized at Rennes academic hospital, France, between March 20, 2020 and May 5, 2020 were included in the study. Three model types were created: logistic regression, random forest, and neural network. Each model was trained to diagnose COVID-19 using different sets of variables. Area under the receiving operator characteristics curve (AUC) was the primary outcome to evaluate model’s performances. 536 patients were included in the study: 106 in the COVID group, 430 in the NOT-COVID group. The AUC values of chest-CT and RT-PCR increased from 0.778 to 0.892 and from 0.852 to 0.930, respectively, with the contribution of machine learning. After generalization, machine learning models will allow increasing chest-CT and RT-PCR performances for COVID-19 diagnosis.
Grain filling in barley relies on developmentally controlled programmed cell death
Authors: Radchuk Volodymyr , Tran Van , Hilo Alexander , Muszynska Aleksandra , Gündel Andre , Wagner Steffen , Fuchs Joerg , Hensel Goetz , Ortleb Stefan , Munz Eberhard , Rolletschek Hardy , Borisjuk Ljudmilla 
Published: March 2021

AbstractCereal grains contribute substantially to the human diet. The maternal plant provides the carbohydrate and nitrogen sources deposited in the endosperm, but the basis for their spatial allocation during the grain filling process is obscure. Here, vacuolar processing enzymes have been shown to both mediate programmed cell death (PCD) in the maternal tissues of a barley grain and influence the delivery of assimilate to the endosperm. The proposed centrality of PCD has implications for cereal crop improvement.
Effect of oxygen vacancies and crystal symmetry on piezocatalytic properties of Bi2WO6 ferroelectric nanosheets for wastewater decontamination
Authors: Kang Zihan , Lin Enzhu , Qin Ni , Wu Jiang , Yuan Baowei , Bao Dinghua 
Published: March 2021

There is a morphological dependence between the oxygen vacancies and the piezocatalytic activity of the two-dimensional Bi2WO6 piezocatalyst.
Enhancement of the electroluminescence properties of iridium-complexes by decorating the ligand with hole-transporting carbazole dendrons
Authors: Thathong Yuranan , Chasing Pongsakorn , Manyum Thanaporn , Namuangruk Supawadee , Saengsuwan Sayant , Sudyoasuk Taweesak , Promarak Vinich 
Published: March 2021

Iridium-complexes decorating with carbazole dendrons exhibit an improved hole-transporting capability and OLED devices with brightness of 16 170 cd m−2, maximum luminous efficiency of 13.59 cd A−1 and maximum EQE of 4.36%.
The landscape and prognostic value of immune characteristics in uterine corpus endometrial cancer
Authors: Liu Wenli , Sun Lisha , Zhang Juan , Song Wengang , Li Mingcheng , Wang Hong 
Published: March 2021

Abstract
In the present study, we explored the clinical and immunological characteristics of 575 uterine corpus endometrial carcinoma (UCEC) samples obtained from The Cancer Genome Atlas (TCGA) using the ESTIMATE and CIBERSORT algorithms. First, Kaplan–Meier and univariate Cox regression analyses indicated that the immune cell score was a prognostic factor for overall survival (OS) and recurrence-free survival (RFS). Multivariate Cox regression analysis further revealed that the immune cell score was an independent prognostic factor for UCEC patients. Second, we investigated the correlation between the infiltration levels of 22 types of immune cells and the immune score. Survival analysis based on the 22 immune cell types showed that higher levels of regulatory T cell, activated NK cell, and follicular helper T-cell infiltration were associated with longer OS, while higher levels of CD8+ T cell and naive B-cell infiltration were associated with longer RFS. Next, we performed differential expression and prognosis analyses on 1534 immune-related genes and selected five from 14 candidate genes to construct a prognostic prediction model. The area under the receiver-operating characteristic (ROC) curve (AUC) for 3- and 5-year survival were 0.711 and 0.728, respectively. Further validation using a stage I–II subgroup showed similar results, presenting AUC values for 3- and five-year survival of 0.677 and 0.692, respectively. Taken together, the present study provides not only a deeper understanding of the relationship between UCEC and the immune landscape but also guidance for the future development of UCEC immunotherapy.
Pyruvate accumulation may contribute to acceleration-induced impairment of physical and cognitive abilities: an experimental study
Authors: Mo Fengfeng , Zhang Hongwei , Tang Yuxiao , Qi Ruirui , Nie Shuang , Shen Hui , Li Min 
Published: March 2021

Abstract
Background: Fatigue can be induced after acceleration exposure, however its mechanism is still unclear. The aim of the present study was to examine whether metabolites’ changes can decrease cognitive and physical function after acceleration. Methods: Graybiel scale and Fatigue Self-rating scale were used to assess the seasickness and fatigue degrees of 87 male seafarers respectively after sailing. To test the effect of pyruvate on cognitive and physical functions, five different doses of pyruvate were administrated into rats. Insulin can reduce the accumulation of pyruvate. To observe the insulin effect on pyruvate, cognitive and physical functions after acceleration, insulin administration or treatment of promoting insulin secretion was used. Physical and cognitive functions were assessed using open field test (OFT), morris water maze (MWM) and loaded swimming test (LST) in animals. Results: Physical and cognitive abilities were decreased obviously, and serum pyruvate increased mostly in human and rats after acceleration. Compared with vehicle group, physical and cognitive abilities were significantly decreased after pyruvate administration. Besides, we found a significant decline in adenosine triphosphate (ATP) concentration and pyruvate dehydrogenase (PDH) activity in the hippocampus, prefrontal cortex, liver, and muscle of rats treated with acceleration or pyruvate injection, while insulin administration or treatment of promoting insulin secretion markedly alleviated this decline and the impairment of physical and cognitive abilities, compared with the control group. Conclusion: Our results indicate that pyruvate has a negative effect on physical and cognitive abilities after acceleration. Insulin can inhibit pyruvate accumulation and cognitive and physical function after acceleration exposure.
Bimodal Benefit for Music Perception: Effect of Acoustic Bandwidth
Authors: D'Onofrio Kristen L. , Gifford René H. 
Published: March 2021

PurposeThe challenges associated with cochlear implant (CI)–mediated listening are well documented; however, they can be mitigated through the provision of aided acoustic hearing in the contralateral ear—a configuration termedbimodal hearing. This study extends previous literature to examine the effect of acoustic bandwidth in the non-CI ear for music perception. The primary aim was to determine the minimum and optimum acoustic bandwidth necessary to obtain bimodal benefit for music perception and speech perception.MethodParticipants included 12 adult bimodal listeners and 12 adult control listeners with normal hearing. Music perception was assessed via measures of timbre perception and subjective sound quality of real-world music samples. Speech perception was assessed via monosyllabic word recognition in quiet. Acoustic stimuli were presented to the non-CI ear in the following filter conditions: < 125, < 250, < 500, and < 750 Hz, and wideband (full bandwidth).ResultsGenerally, performance for all stimuli improved with increasing acoustic bandwidth; however, the bandwidth that is both minimally and optimally beneficial may be dependent upon stimulus type. On average, music sound quality required wideband amplification, whereas speech recognition with a male talker in quiet required a narrower acoustic bandwidth (< 250 Hz) for significant benefit. Still, average speech recognition performance continued to improve with increasing bandwidth.ConclusionFurther research is warranted to examine optimal acoustic bandwidth for additional stimulus types; however, these findings indicate that wideband amplification is most appropriate for speech and music perception in individuals with bimodal hearing.
Developmental Differences in the Availability of Cognitive Resources Supporting Rhyming and Dual Tasking
Authors: Sasisekaran Jayanthi , Lei Xiaofan 
Published: March 2021

Purpose
We investigated developmental differences in a dual task involving rhyming and tone judgment/decisions and the effects of varying cognitive demands on task performance.

Method

Participants were 7- to 11-year-olds, 12- to 15-year-olds, and adults between 18 and 40 years (
n
= 19 per group). The rhyming task consisted of three stimuli categories (nonrhyme, rhyme, and replica), and the tone task stimuli were presented at short (100 ms) versus long (900 ms) stimulus onset asynchrony (SOA) from the onset of the rhyme task to vary cognitive demands. Response time (RT) and error data were analyzed using linear and binomial mixed-methods analysis, respectively.

Results and Conclusions
Adults did not show an SOA-based effect in rhyming RT, while the 12- to 15-year-olds showed the most effect (RT, long > short SOA). Response to the replica category was significantly faster than for the other categories in all age groups. A reverse SOA effect was evident in the tone task (RT, short > long SOA) in all age groups. The 7- to 11-year-olds showed twice the task switch cost effect in the tone task RT. Age grouping and phoneme awareness were significant predictors of performance in both tasks, and additionally, SOA was a significant predictor of performance in the secondary task. The findings have implications for (a) understanding maturational differences in rhyming and executive control for dual tasking and the cognitive mechanisms supporting such effects and (b) identifying variables contributing to the developmental differences.
Bayesian Generalized Linear Mixed-Model Analysis of Language Samples: Detecting Patterns in Expository and Narrative Discourse of Adolescents With Traumatic Brain Injury
Authors: Collins Gavin , Lundine Jennifer P. , Kaizar Eloise 
Published: March 2021

PurposeGeneralized linear mixed-model (GLMM) and Bayesian methods together provide a framework capable of handling a wide variety of complex data commonly encountered across the communication sciences. Using language sample analysis, we demonstrate the utility of these methods in answering specific questions regarding the differences between discourse patterns of children who have experienced a traumatic brain injury (TBI), as compared to those with typical development.MethodLanguage samples were collected from 55 adolescents ages 13–18 years, five of whom had experienced a TBI. We describe parameters relating to the productivity, syntactic complexity, and lexical diversity of language samples. A Bayesian GLMM is developed for each parameter of interest, relating these parameters to age, sex, prior history (TBI or typical development), and socioeconomic status, as well as the type of discourse sample (compare–contrast, cause–effect, or narrative). Statistical models are thoroughly described.ResultsComparing the discourse of adolescents with TBI to those with typical development, substantial differences are detected in productivity and lexical diversity, while differences in syntactic complexity are more moderate. Female adolescents exhibited greater syntactic complexity, while male adolescents exhibited greater productivity and lexical diversity. Generally, our models suggest more advanced discourse among adolescents who are older or who have indicators of higher socioeconomic status. Differences relating to lecture type were also detected.ConclusionsBayesian and GLMM methods yield more informative and intuitive results than traditional statistical analyses, with a greater degree of confidence in model assumptions. We recommend that these methods be used more widely in language sample analysis.Supplemental Materialhttps://doi.org/10.23641/asha.14226959
A Vocabulary Acquisition and Usage for Late Talkers Treatment Efficacy Study: The Effect of Input Utterance Length and Identification of Responder Profiles
Authors: Alt Mary , Figueroa Cecilia R. , Mettler Heidi M. , Evans-Reitz Nora , Erikson Jessie A. 
Published: March 2021

Purpose
This study examined the efficacy of the Vocabulary Acquisition and Usage for Late Talkers (VAULT) treatment in a version that manipulated the length of clinician utterance in which a target word was presented (dose length). The study also explored ways to characterize treatment responders versus nonresponders.

Method
Nineteen primarily English-speaking late-talking toddlers (aged 24–34 months at treatment onset) received VAULT and were quasirandomly assigned to have target words presented in grammatical utterances matching one of two lengths: brief (four words or fewer) or extended (five words or more). Children were measured on their pre- and posttreatment production of (a) target and control words specific to treatment and (b) words not specific to treatment. Classification and Regression Tree (CART) analysis was used to classify responders versus nonresponders.

Results
VAULT was successful as a whole (i.e., treatment effect sizes of greater than 0), with no difference between the brief and extended conditions. Despite the overall significant treatment effect, the treatment was not successful for all participants. CART results (using participants from the current study and a previous iteration of VAULT) provided a dual-node decision tree for classifying treatment responders versus nonresponders.

Conclusions
The input-based VAULT treatment protocol is efficacious and offers some flexibility in terms of utterance length. When VAULT works, it works well. The CART decision tree uses pretreatment vocabulary levels and performance in the first two treatment sessions to provide clinicians with promising guidelines for who is likely to be a nonresponder and thus might need a modified treatment plan.

Supplemental Material

https://doi.org/10.23641/asha.14226641
A Comparison of Manual Versus Automated Quantitative Production Analysis of Connected Speech
Authors: Fromm Davida , Katta Saketh , Paccione Mason , Hecht Sophia , Greenhouse Joel , MacWhinney Brian , Schnur Tatiana T. 
Published: March 2021

Purpose
Analysis of connected speech in the field of adult neurogenic communication disorders is essential for research and clinical purposes, yet time and expertise are often cited as limiting factors. The purpose of this project was to create and evaluate an automated program to score and compute the measures from the Quantitative Production Analysis (QPA), an objective and systematic approach for measuring morphological and structural features of connected speech.

Method
The QPA was used to analyze transcripts of Cinderella stories from 109 individuals with acute–subacute left hemisphere stroke. Regression slopes and residuals were used to compare the results of manual scoring and automated scoring using the newly developed C-QPA command in CLAN, a set of programs for automatic analysis of language samples.

Results

The C-QPA command produced two spreadsheet outputs: an analysis spreadsheet with scores for each utterance in the language sample, and a summary spreadsheet with 18 score totals from the analysis spreadsheet and an additional 15 measures derived from those totals. Linear regression analysis revealed that 32 of the 33 measures had good agreement;
auxiliary complexity index
was the one score that did not have good agreement.

Conclusions
The C-QPA command can be used to perform automated analyses of language transcripts, saving time and training and providing reliable and valid quantification of connected speech. Transcribing in CHAT, the CLAN editor, also streamlined the process of transcript preparation for QPA and allowed for precise linking of media files to language transcripts for temporal analyses.
Musical Perception Assessment of People With Hearing Impairment: A Systematic Review and Meta-Analysis
Authors: Simões Pierangela Nota , Lüders Debora , José Maria Renata , Romanelli Guilherme , Lüders Valéria , Santos Rosane Sampaio , de Araújo Cristiano Miranda 
Published: March 2021

PurposePeople with hearing impairment (HI) face numerous challenges that can be minimized with the use of hearing aids and cochlear implants. Despite technological advances in these assistive hearing devices, musical perception remains difficult for these people. Tests and protocols developed to assess the musical perception of this audience were the target of this systematic review, whose objective was to investigate how assessments of musical perception in people with HI are carried out.MethodSearches for primary articles were carried out in the PubMed/MEDLINE, Scopus, Web of Science, Latin American and Caribbean Health Sciences Literature, and ASHAWire databases. Search results were managed using EndNote X9 software, and analysis was performed according to the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Statement.ResultsThe 16 cross-sectional included studies analyzed music perception data from people with HI compared to a control group of participants with normal hearing. Among these, four studies were selected to be included in a meta-analysis, performed with timbre and melody. Variability was observed in the tests and between the levels of auditory perception skills analyzed in relation to the components of music. With respect to the tests, sound stimuli generated by synthesizers were the most used stimuli; with the exception of timbre evaluation, the most frequent test environment was a booth with sound attenuation, and the average intensity for presenting sound stimuli was 70 dB SPL. The most evaluated sound component was pitch, followed by rhythm and timbre, with a pattern of responses based on adaptive and psychoacoustic methods.ConclusionsThe heterogeneity of the musical parameters and the auditory abilities evaluated by the tests is a fact that can compromise evidence found in this area of study. It is worth considering the quality of samples that were recorded with real musical instruments and digitized afterward, in comparison with synthesized samples that do not seem to accurately represent real instruments. The need to minimize semantic parallelism that involves the auditory skills and elements of music involved in the assessment of musical perception is highlighted.
English-Only Treatment of Compensatory Speech Errors in a Bilingual Adoptee With Repaired Cleft Palate: A Descriptive Case Study
Authors: Schleif Eshan Pua , Mason Kazlin , Perry Jamie L. 
Published: March 2021

PurposeThe purpose of this clinical focus article is to provide a descriptive case study of a late-adopted, bilingual adolescent with cleft palate speech errors. Specifically, we examined the cross-linguistic generalization of remediated compensatory cleft errors, following treatment in English (second language) only. The overarching goal of this study is to gain insights into the complexity of speech intervention for the adopted population with delayed cleft palate repair.MethodA 14-year-old female adopted from China with a repaired unilateral cleft lip and palate and maladaptive articulation errors underwent 55 one-hour sessions of a motor-based, speech therapy approach over a 15-month span, targeting English phonemes only. Pre-, mid-, and posttreatment evaluation included perceptual and instrumental assessment of speech and resonance. Outcome measures at each time point included perceptual speech and resonance ratings, nasometry scores, and percent consonants correct (PCC) in both English and Mandarin.ResultsPCC in English improved from 60% in single words and 35% in sentences pretreatment to 100% in single words and sentences during posttreatment assessment. Without direct treatment in Mandarin, PCC in Mandarin improved from 56% in single words and 50% in sentences pretreatment to 100% in single words and 99% in sentences during posttreatment assessment. Posttreatment nasometry scores decreased by 20% for the nasal sample and 17% for the oral sample compared to pretreatment.ConclusionsThis descriptive case study demonstrated successful remediation of cleft palate speech errors, following 15 months of treatment in a late-adopted bilingual adolescent using a motor-based therapy approach. Treatment of errors in English (second language) led to generalization of correct productions in Mandarin (first language). This study presents the potential for bilingual late adoptees to achieve intelligible speech in both languages when motor-based therapy principles are applied to intervention.
Joint Video Self-Modeling for Persons With Traumatic Brain Injury and Their Partners: A Case Series
Authors: Hoepner Jerry K. , Sievert Alexis , Guenther Kaitlin 
Published: March 2021

Purpose
Individuals with traumatic brain injury (TBI) experience impairments to self-regulation and social communication that strain relationships. Video self-modeling (VSM) provides visible and audible, tangible evidence of what they do well and what could improve. Conducting such training in the context of authentic exchanges with their everyday partners may support positive change in social communication. The present investigation sought to evaluate indices of improved social communication.

Method
A mixed-methods design was employed for this case series investigation. Quantitative measures include pre- and postoutcomes on goal attainment scales (GASs) and measures of conversational effectiveness. Qualitative measures include responsiveness to video-supported prompts, conversational behaviors, and metacognitive statements.

Results

Participants perceived gains on GAS of 3–4
SD
s, as well as perceived improvements on the La Trobe Communication Questionnaire. Those gains were validated by gains on the adapted Measure of Participation in Conversation and Measure of Skill in Supported Conversation. Individuals with TBI and their partners reached consensus on most goals and postintervention La Trobe Communication Questionnaire ratings. Participants made accurate judgments about their behaviors at a high rate, given video review. Conversational behaviors and use of metacognitive statements varied across participants and conversational contexts. Field notes and session transcripts provide evidence that both dyads increased internalization of VSM goals and purpose.

Conclusions
Joint VSM shows promise as a method for eliciting accurate self-assessments among individuals with TBI and their close partners. Both dyads perceived positive gains in interactions within and outside their dyads. Furthermore, joint VSM and GAS appear to improve self-awareness and internalization of VSM goals and purpose.