bluuebunny/crossref_metadata_2025_split huggingface dataset:
Social Communication Following Adult Traumatic Brain Injury: A Scoping Review of Theoretical Models
Authors:   Academy of Neurologic Communication Disorders Traumatic Brain Injury Writing Committee, Byom Lindsey , O'Neil-Pirozzi Therese M. , Lemoncello Rik , MacDonald Sheila , Meulenbroek Peter , Ness Bryan , Sohlberg McKay Moore 
Published: June 2020

Purpose
Social communication is the set of abilities that allows individuals to achieve relevant social goals across contexts. Speech-language pathology evaluation and treatment of traumatic brain injury (TBI)-related social communication problems should be informed by evidence-supported theories of social communication. The primary purpose of this article is to summarize the results of a scoping review of theoretical models that speech-language pathologists may apply to the evaluation and treatment of social communication problems of adults with TBI.

Method
A scoping review was conducted of PubMed, PsycINFO, and Embase for sources published in English between 1989 and 2020 that described human social communication and participation. Resulting sources were systematically examined for social communication models.

Results
Nine theoretical models were identified that speech-language pathologists may apply to their assessment and treatment of social communication abilities of adults with TBI. Identified models were categorized thematically into one of three classes: cognitive models, social competence models, and pragmatic models. Using a framework developed for the purposes of this article, each identified model was evaluated, and one exemplar model in each class is described in depth.

Conclusions
Social communication problems in adults post-TBI are common. The existence of multiple models empowers speech-language pathologists to select individual-focused assessment and treatment approaches to maximize intervention outcomes.
Noise and a Speaker's Impaired Voice Quality Disrupt Spoken Language Processing in School-Aged Children: Evidence From Performance and Response Time Measures
Authors: Schiller Isabel S. , Morsomme Dominique , Kob Malte , Remacle Angélique 
Published: June 2020

Purpose
Our aim was to investigate isolated and combined effects of speech-shaped noise (SSN) and a speaker's impaired voice quality on spoken language processing in first-grade children.

Method

In individual examinations, 53 typically developing children aged 5–6 years performed a speech perception task (phoneme discrimination) and a listening comprehension task (sentence–picture matching). Speech stimuli were randomly presented in a 2 × 2 factorial design with the factors
noise
(no added noise vs. SSN at 0- dB SNR) and
voice quality
(normal voice vs. impaired voice). Outcome measures were task performance and response time (RT).

Results
SSN and impaired voice quality significantly lowered children's performance and increased RTs in the speech perception task, particularly when combined. Regarding listening comprehension, a significant interaction between noise and voice quality indicated that children's performance was hindered by SSN when the speaker's voice was impaired but not when it was normal. RTs in this task were unaffected by noise or voice quality.

Conclusions
Results suggest that speech signal degradations caused by a speaker's impaired voice and background noise generate more processing errors and increased listening effort in young school-aged children. This finding is vital for classroom listening and highlights the importance of ensuring teachers' vocal health and adequate room acoustics.
The Epstein-Barr virus-encoded G protein-coupled receptor BILF1 upregulates ICAM-1 through a mechanism involving the NF-қB pathway
Authors: Guo Qingwei , Gao Jie , Cheng Lu , Yang Xiaomei , Li Fu , Jiang Guosheng 
Published: June 2020

Abstract
Although the Epstein-Barr virus (EBV) infection is usually asymptomatic, a primary encounter with the virus can cause mononucleosis. EBV infection is also strongly associated with lymphoma and epithelial cancers. The structure and infection mechanism of EBV have been well studied, but the EBV-encoded G protein-coupled receptor, BILF1, is not fully understood. Here, it was found that the EBV BILF1 was expressed early in the viral lytic cycle and its ectopic expression strikingly upregulated the ICAM-1 expression in Raji cells. The positive effect of BILF1 on the ICAM-1 promoter was observed and the BILF1 deficiency attenuated ICAM-1 promoter activity. Moreover, NF-κB binding sites were important for the regulation of ICAM-1 promoter by BILF1. Furthermore, BILF1 reduced the constitutive level of the IқB-a protein and increased the amount of nuclear NF-қB in Raji cells. In conclusion, this study determined that BILF1 upregulated ICAM-1 in a mechanism involving NF-қB.
Studies on DNA-related enzymes to elucidate molecular mechanisms underlying genetic information processing and their application in genetic engineering
Authors: Ishino Yoshizumi 
Published: June 2020

AbstractRecombinant DNA technology, in which artificially “cut and pasted” DNA in vitro is introduced into living cells, contributed extensively to the rapid development of molecular biology over the past 5 decades since the latter half of the 20th century. Although the original technology required special experiences and skills, the development of polymerase chain reaction (PCR) has greatly eased in vitro genetic manipulation for various experimental methods. The current development of a simple genome-editing technique using CRISPR-Cas9 gave great impetus to molecular biology. Genome editing is a major technique for elucidating the functions of many unknown genes. Genetic manipulation technologies rely on enzymes that act on DNA. It involves artificially synthesizing, cleaving, and ligating DNA strands by making good use of DNA-related enzymes present in organisms to maintain their life activities. In this review, I focus on key enzymes involved in the development of genetic manipulation technologies.
MiR-375-3p alleviates the severity of inflammation through targeting YAP1/LEKTI pathway in HaCaT cells
Authors: Cheng Shaohang , Di Zhenghong , Hirman Abdul Razaq , Zheng Heng , Duo Linna , Zhai Qianyu , Xu Jing 
Published: June 2020

Abstract
Atopic dermatitis (AD) is a relapsing inflammatory skin disease with a complicated pathogenesis. This study aimed to investigate whether miR-375-3p could regulate AD through the Yes-associated protein 1 (YAP1) pathway. In this study, inflammatory response was induced by TNF-α and IFN-γ administration in HaCaT cells. We found that viability and inflammatory factor release, including interleukin-1β (IL-1β) and IL-6, were negatively related to miR-375-3p expression in HaCaT cells. We also found that YAP1 overexpression down-regulated lympho-epithelial Kazal type inhibitor (LEKTI) levels and aggravated viability and inflammation in TNF-α and IFN-γ-treated HaCaT cells. Dual-luciferase reporter assay proved the targeted binding of miR-375-3p and YAP1 3ʹ-UTR. Additionally, the protective effect of miR-375-3p on inflammatory response in TNF-α and IFN-γ-treated HaCaT cells could be impeded by YAP1 overexpression. Collectively, our results suggested that miR-375-3p could modulate HaCaT cell viability and inflammation through the YAP1/LEKTI pathway.
International comparison CCQM-K112 biogas
Authors: Veen Adriaan M H van der , Zalewska Ewelina T , Osselen Deborah R van , Fernández Teresa E , Gómez Concepción , Beránek Jan , Oudwater Rutger J , Sobrinho Denise C , Brum Mariana C , Augusto Cristiane R , Fükö Judit , Büki Tamás , Nagyné Szilági Zsófia , Brewer Paul J , Downey Michael L , Brown Richard J C , Valkova Miroslava , Durisova Zuzana , Arrhenius Karine , Magnusson Bertil , Yaghooby Haleh , Tarhan Tanil , Engin Erinç , Konopelko L A , Popova T A , Pir M N , Efremova O V 
Published: June 2020

At the highest metrological level, biogas standards are commonly prepared gravimetrically as PSMs (primary standard mixtures). This international key comparison addresses the composition of biogas, to support calibration and measurement services for this renewable energy gas. The mixtures contain nitrogen, carbon dioxide, methane, ethane, propane, hydrogen and oxygen and represent the composition of biogas from landfills. The results in this Track C key comparison on the composition of biogas are generally good. Some of the datasets, especially that of oxygen, showed substantial extra dispersion, that could not be explained by the stated uncertainties.

Main text

To reach the main text of this paper, click on Final Report. Note that this text is that which appears in Appendix B of the BIPM key comparison database kcdb.bipm.org/.
The final report has been peer-reviewed and approved for publication by the CCQM, according to the provisions of the CIPM Mutual Recognition Arrangement (CIPM MRA).
Improving depth-of-interaction resolution in pixellated PET detectors using neural networks
Authors: Zatcepin Artem , Pizzichemi Marco , Polesel Andrea , Paganoni Marco , Auffray Etiennette , Ziegler Sibylle I , Omidvari Negar 
Published: June 2020

Abstract
Parallax error is a common issue in high-resolution preclinical positron emission tomography (PET) scanners as well as in clinical scanners that have a long axial field of view (FOV), which increases estimation uncertainty of the annihilation position and therefore degrades the spatial resolution. A way to address this issue is depth-of-interaction (DOI) estimation. In this work we propose two machine learning-based algorithms, a dense and a convolutional neural network (NN), as well as a multiple linear regression (MLR)-based method to estimate DOI in depolished PET detector arrays with single-sided readout. The algorithms were tested on an 8× 8 array of 1.53× 1.53× 15 mm3 crystals and a 4× 4 array of 3.1× 3.1× 15 mm3 crystals, both made of Ce:LYSO scintillators and coupled to a 4× 4 array of 3× 3 mm3 silicon photomultipliers (SiPMs). Using the conventional linear DOI estimation method resulted in an average DOI resolution of 3.76 mm and 3.51 mm FWHM for the 8× 8 and the 4× 4 arrays, respectively. Application of MLR outperformed the conventional method with average DOI resolutions of 3.25 mm and 3.33 mm FWHM, respectively. Using the machine learning approaches further improved the DOI resolution, to an average DOI resolution of 2.99 mm and 3.14 mm FWHM, respectively, and additionally improved the uniformity of the DOI resolution in both arrays. Lastly, preliminary results obtained by using only a section of the crystal array for training showed that the NN-based methods could be used to reduce the number of calibration steps required for each detector array.
Design and experimental evaluation of a novel bidirectional magnetorheological actuator
Authors: Diep Bao Tri , Hiep Le Dai , Nguyen Quoc Hung , Choi Seung-Bok , Kim Joo-Hyung 
Published: June 2020

Abstract
This research focuses on development of a new bidirectional magneto-rheological actuator (BMRA), especially for force feedback system. The BMRA composed of two input shafts rotating in opposite directions at the same speed, on which the two magnetic discs are assembled. The two discs are placed inside a housing which is connected to the output shaft. On each side of the housing, magnetic coils are integrated to create corresponding magnetic field on required. The gap between the discs and the housing is filled magnetorheological fluid (MRF). A thin wall is employed to separate the coils with the MRF. This allows the MRF duct being manufactured more easily and accurately. After a review of state of the art of MR actuators, the new configuration and working principle of the proposed BMRA is presented. After that, equation for calculation of the output torque of the proposed BMRA is derived and optimal design of the BMRA is conducted considering its maximum output torque and mass. Based on the optimal results, a prototype of the BMRA is manufactured and performance characteristics of the proposed BMRA are then investigated with both experimental and simulated results.
Status of 48Ca double beta decay search and its future prospect in CANDLES
Authors: Tetsuno K. , Ajimura S. , Akutagawa K. , Batpurev T. , Chan W. M. , Fushimi K. , Hazama R. , Iida T. , Ikeyama Y. , Khai B. T. , Kishimoto T. , Lee K. K. , Li X. , Matsuoka K. , Matsuoka K. , Mizukoshi K. , Mori Y. , Nakajima K. , Noithong P. , Nomachi M. , Ogawa I. , Ohsumi H. , Ozawa K. , Shimizu K. , Shokati M. , Soberi F. , Suzuki K. , Takemoto Y. , Takihira Y. , Tamagawa Y. , Tozawa M. , Trang V. T. T. , Umehara S. , Yamamoto K. , Yoshida S. , Kim I , Kwon D H , Kim H L , Lee H J , Lee M K , Kim Y H 
Published: June 2020

Abstract
CANDLES(CAlcium fluoride for the study of Neutrinos and Dark matters by Low Energy Spectrometer) is the experiment to search for the neutrino-less double beta decay(0vββ) of 48Ca with CaF2 scintillator. 48Ca has the highest Q
ββ
-value (4.3 MeV) among all isotope candidates for 0vββ. It enables us to measure signals with very low background condition. After rejection analysis with 131 days × 86 kg data for background events from radioactive contaminations in the CaF2 scintillators, no events are observed in the Q
ββ
-value region. As a result, the half-life of 48Ca is greater than 6.2 × 1022 yr (90% confidence level). For further high sensitive measurement of 48Ca 0vββ search, we have been developing the 48Ca enrichment and CaF2 scintillating bolometer techniques. In this paper, the latest result for CANDLES and the status of scintillating bolometer development are described.
Powers of 10: seeking ‘sweet spots’ for rapid climate and sustainability actions between individual and global scales
Authors: Bhowmik Avit K , McCaffrey Mark S , Ruskey Abigail M , Frischmann Chad , Gaffney Owen 
Published: June 2020

Abstract
Achieving the goals of the Paris Agreement and related sustainability initiatives will require halving of global greenhouse gas emissions each decade from now on through to 2050, when net zero emissions should be achieved. To reach such significant reductions requires a rapid and strategic scaling of existing and emerging technologies and practices, coupled with economic and social transformations and novel governance solutions. Here we present a new ‘Powers of 10’ (P10) logarithmic framework and demonstrate its potential as a practical tool for decision makers and change agents at multiple scales to inform and catalyze engagement and actions, complementing and adding nuance to existing frameworks. P10 assists in identifying the suitable cohorts and cohort ranges for rapidly deploying climate and sustainability actions between a single individual and the globally projected ∼ 10 billion persons by 2050. Applying a robust dataset of climate solutions from Project Drawdown’s Plausible scenario that could cumulatively reduce greenhouse gas emissions by 1051 gigatons (Gt) against a reference scenario (2190 Gt) between 2020 and 2050, we seek to identify a ‘sweet spot’ where these climate and sustainability actions are suitably scaled. We suggest that prioritizing the analyzed climate actions between community and urban scales, where global and local converge, can help catalyze and enhance individual, household and local practices, and support national and international policies and finances for rapid sustainability transformations.
Investigating public biodiversity conservation awareness based on the propagation of wildlife-related incidents on the Sina Weibo social media platform
Authors: Wu Yinglin , Xie Ling , Yuan Zengwei , Jiang Songyan , Liu Wenhua , Sheng Hu 
Published: June 2020

Abstract
The use of social media platforms (e.g. Twitter and Facebook) to raise public awareness towards wildlife conservation is an emerging discussion. However, little is currently known about the propagation pattern of wildlife-related information on social media. In this study, a quantitative model was developed based on 230 independent cetacean stranding incidents (2008–2018) across mainland China from a popular Chinese social media platform (Sina Weibo). This model enabled analysis of the post formation process, identification of the key factors influencing the popularity of the posts and wildlife-related incidents, and allowed investigation of public opinions. The results showed that central media users can increase the overall possibility of elevating incident popularity by ∼75 times, an attractive species or incident by ∼5 times, and a negative social ethics incident by ∼3 times. Traditional media users and celebrity influencers performed key roles in affecting the level of re-posting. Online audiences of highly popular posts predominantly encompassed both users from relatively developed regions and female users. It was observed that posts which became popular within ∼12 h retained their influence for ∼3 d. Post popularity was closely related to comment counts rather than forwarding in the first day of posting and the whole status retention time. Public opinion generally expressed a supportive attitude towards wildlife conservation, but lacked in-depth thinking, and individual responsibility was expressed through revival incidents. In order to raise public awareness towards biodiversity conservation, social media–based wildlife information dissemination should balance the content of attractive and non-charismatic species or incidents and include more positive emotions. Posts via traditional users (especially central media users) and opinion leaders (celebrities) can attract a highly educated audience and females, and thus evoke increased comment numbers during the first day of posting. This will help to popularise conservation knowledge and legislation with continuous efforts.
A-01 Comparing State Anxiety Between Concussed Athletes with and without a History of Sport Related Concussion
Authors: Anderson M , Zynda A J , Petit K M , Tomczyk C P , Covassin T 
Published: June 2020

Abstract

Objective
To compare state anxiety between concussed athletes with and without a history of sport related concussion (SRC).

Method
This study utilized a cross-sectional design. The State Trait Anxiety Inventory (STAI) was administered to athletes within 72 hours of SRC diagnosis. The STAI is a subjective, 40-item inventory that assesses state and trait anxiety; however, this study only examined the state anxiety component. Participants reported how they were feeling at the moment of testing on a 4-point Likert scale ranging from 1 (not at all) to 4 (very much so). State anxiety scores range from 20–80, with higher scores indicating higher levels of state anxiety. An independent samples t-test was used to compare state anxiety between concussed athletes with and without a history of SRC. Statistical significance was set at p &lt; .05.

Results
A total of 104 (18.12 ± 2.5 years; male = 65, female = 39) high school (n = 36) and collegiate (n = 68) athletes completed the STAI within 72 hours of SRC. Fifty-nine (56.7%) concussed athletes had no history of SRC and 45 (43.3%) athletes had a history of one or more SRCs. There was no significant difference in state anxiety between concussed athletes with (37.64 ± 9.22) and without (38.47 ± 9.44) a history of SRC (p = .65).

Conclusions
This study suggests that concussion history does not affect state anxiety after SRC. However, clinicians should continue to assess emotional changes after SRC in order to best manage and treat SRC.
A-02 Multifaceted Treatment of Sports Concussions and Resulting Conversion Disorder: A Case Study
Authors: Apps J N , Jandrisevits M 
Published: June 2020

Abstract

Objective
This case illustrates the complexities of concussion resulting in Conversion Disorder, rarely discussed in the literature, in a 12-year-old female. Diagnosis, treatment, and recurrence of symptoms through three injuries and retirement from sports are presented.

Method
Initial injury, with disorientation and amnesia, occurred following three impacts during a soccer tournament. Patient was a high average student, in a divorced family, who recently lost her maternal grandfather and began middle school. Subsequent to initial injury, she reported a loss of memory for all family members, colors and numbers. Family was seen by Neurology, multi-disciplinary Concussion Clinic (CC) providers, and cranial MRI was completed. Neuropsychological testing included IQ, academics, memory, executive functions, emotional, and effort testing. Return to play occurred seven months later, although school avoidance continued through a second injury. A third injury occurred 32 months after initial injury, with additional neuropsychological testing and retirement. Interventions included alternating courses of cognitive-behavioral therapy, family interventions, headache clinic, academic modifications, psychiatry, and continuous CC follow-up.

Results
All imaging results were normal. Neuropsychological results were average to above average in all areas except calculation tasks and effort testing, with minimal change over time. Significant relation between emotional symptoms, social stressors, self-concept, and cognitive symptoms supported Conversion Disorder. Lack of clearance to return to play motivated initial recovery. Multiple courses of varied interventions addressed complex self-identity issues.

Conclusions
As research indicates, diagnosis of conversion requires medical and psychological methods. The complex components of this case highlight change resulting from a CC coordinating equally complex medical and psychological treatment.
A-05 Self-Reported Symptomatology in Athletes with Autism Diagnosis
Authors: Bennett R , Horne K , Datoc A , McDonald B , Lashley L 
Published: June 2020

Abstract

Objective
To examine the relationship between athletes with and without Autism diagnosis and self-reported symptoms as measured by ImPACT.

Method
Participants were selected from an archival de-identified sports medicine ImPACT database. The sample (N = 232) was primarily male (72.4%) student athletes with a mean age of 15.41 years (SD = 1.292). Participants were divided into two groups: Autism diagnosis (n = 130); No diagnosis (n = 102). An independent samples t-test was conducted to analyze the variation of self-reported symptoms between athletes with and without an Autism diagnosis.

Results
The independent samples t-test revealed significant differences between diagnostic groups and self-reported cognitive (t = 5.832, p &lt; .001, d = .72); sleep (t = 4.040, p &lt; .001, d = .51); vestibular somatic (t = 4.154, p &lt; .001, d = .53); and affective symptomatology (t = 3.988, p &lt; .001, d = .51). Athletes with a diagnosis of Autism reported more symptoms overall in comparison to athletes without a diagnosis.

Conclusions
These findings suggest that prior psychological diagnoses play a significant role in symptom scores; however, the degree to which these symptoms can be attributed to the diagnosis itself or the concussion is unknown. It should be noted that individuals who have been diagnosed with Autism may already be at an increased risk of sleep difficulties, emotional regulation, and sensory stimulation within the environment. Therefore, differentiating the symptom scores from preexisting symptoms of Autism from a concussion can be beneficial when helping athletes return to play.