bluuebunny/crossref_metadata_2025_split huggingface dataset:
Motivational signals disrupt metacognitive signals in the human ventromedial prefrontal cortex
Authors: Hoven Monja , Brunner Gina , de Boer Nina S. , Goudriaan Anna E. , Denys Damiaan , van Holst Ruth J. , Luigjes Judy , Lebreton Maël 
Published: March 2022

AbstractA growing body of evidence suggests that, during decision-making, BOLD signal in the ventromedial prefrontal cortex (VMPFC) correlates both with motivational variables – such as incentives and expected values – and metacognitive variables – such as confidence judgments – which reflect the subjective probability of being correct. At the behavioral level, we recently demonstrated that the value of monetary stakes bias confidence judgments, with gain (respectively loss) prospects increasing (respectively decreasing) confidence judgments, even for similar levels of difficulty and performance. If and how this value-confidence interaction is reflected in the VMPFC remains unknown. Here, we used an incentivized perceptual decision-making fMRI task that dissociates key decision-making variables, thereby allowing to test several hypotheses about the role of the VMPFC in the value-confidence interaction. While our initial analyses seemingly indicate that the VMPFC combines incentives and confidence to form an expected value signal, we falsified this conclusion with a meticulous dissection of qualitative activation patterns. Rather, our results show that strong VMPFC confidence signals observed in trials with gain prospects are disrupted in trials with no – or negative (loss) – monetary prospects. Deciphering how decision variables are represented and interact at finer scales seems necessary to better understand biased (meta)cognition.
Computational screening methodology identifies effective solvents for CO2 capture
Authors: Orlov Alexey A. , Valtz Alain , Coquelet Christophe , Rozanska Xavier , Wimmer Erich , Marcou Gilles , Horvath Dragos , Poulain Bénédicte , Varnek Alexandre , de Meyer Frédérick 
Published: March 2022

AbstractCarbon capture and storage technologies are projected to increasingly contribute to cleaner energy transitions by significantly reducing CO2 emissions from fossil fuel-driven power and industrial plants. The industry standard technology for CO2 capture is chemical absorption with aqueous alkanolamines, which are often being mixed with an activator, piperazine, to increase the overall CO2 absorption rate. Inefficiency of the process due to the parasitic energy required for thermal regeneration of the solvent drives the search for new tertiary amines with better kinetics. Improving the efficiency of experimental screening using computational tools is challenging due to the complex nature of chemical absorption. We have developed a novel computational approach that combines kinetic experiments, molecular simulations and machine learning for the in silico screening of hundreds of prospective candidates and identify a class of tertiary amines that absorbs CO2 faster than a typical commercial solvent when mixed with piperazine, which was confirmed experimentally.
Inhibition of RIP3 increased ADSC viability under OGD and modified the competency of adipogenesis, angiogenesis, and inflammation regulation
Authors: Yang Zhenyu , Qi Zuoliang , Yang Xiaonan , Gao Qiuni , Hu Yuling , Yuan Xihang 
Published: March 2022

Abstract
Adipose-derived stem cells (ADSCs) showed decreased cell viability and increased cell death under oxygen-glucose deprivation (OGD). Meanwhile, vital necroptotic proteins, including receptor-interacting protein kinase (RIP) 3 (RIP3) and mixed lineage kinase domain-like pseudokinase (MLKL), were expressed in the early stage. The present study aims to explore the effect of necroptosis inhibition on ADSCs. ADSCs were obtained from normal human subcutaneous fat and verified by multidirectional differentiation and flow cytometry. By applying cell counting kit-8 (CCK-8), calcein/propidium iodide (PI) staining and immunostaining, we determined the OGD treatment time of 4 h, a timepoint when the cells showed a significant decrease in viability and increased protein expression of RIP3, phosphorylated RIP3 (pRIP3) and phosphorylated MLKL (pMLKL). After pretreatment with the inhibitor of RIP3, necroptotic protein expression decreased under OGD conditions, and cell necrosis decreased. Transwell assays proved that cell migration ability was retained. Furthermore, the expression of the adipogenic transcription factor peroxisome proliferator-activated receptor γ (PPARγ) and quantitative analysis of Oil Red O staining increased in the inhibitor group. The expression of vascular endothelial growth factor-A (VEGFA) and fibroblast growth factor 2 (FGF2) and the migration test suggest that OGD increases the secretion of vascular factors, promotes the migration of human umbilical vein endothelial cells (HUVECs), and forms unstable neovascularization. ELISA revealed that inhibition of RIP3 increased the secretion of the anti-inflammatory factor, interleukin (IL)-10 (IL-10) and reduced the expression of the proinflammatory factor IL-1β. Inhibition of RIP3 can reduce the death of ADSCs, retain their migration ability and adipogenic differentiation potential, reduce unstable neovascularization and inhibit the inflammatory response.
Toward Automated Articulation Rate Analysis via Connected Speech in Dysarthrias
Authors: Illner Vojtěch , Tykalová Tereza , Novotný Michal , Klempíř Jiří , Dušek Petr , Rusz Jan 
Published: March 2022

Purpose:This study aimed to evaluate the reliability of different approaches for estimating the articulation rates in connected speech of Parkinsonian patients with different stages of neurodegeneration compared to healthy controls.Method:Monologues and reading passages were obtained from 25 patients with idiopathic rapid eye movement sleep behavior disorder (iRBD), 25 de novo patients with Parkinson's disease (PD), 20 patients with multiple system atrophy (MSA), and 20 healthy controls. The recordings were subsequently evaluated using eight syllable localization algorithms, and their performances were compared to a manual transcript used as a reference.Results:The Google & Pyphen method, based on automatic speech recognition followed by hyphenation, outperformed the other approaches (automated vs. hand transcription:r> .87 for monologues andr> .91 for reading passages,p< .001) in precise feature estimates and resilience to dysarthric speech. The Praat script algorithm achieved sufficient robustness (automated vs. hand transcription:r> .65 for monologues andr> .78 for reading passages,p< .001). Compared to the control group, we detected a slow rate in patients with MSA and a tendency toward a slower rate in patients with iRBD, whereas the articulation rate was unchanged in patients with early untreated PD.Conclusions:The state-of-the-art speech recognition tool provided the most precise articulation rate estimates. If speech recognizer is not accessible, the freely available Praat script based on simple intensity thresholding might still provide robust properties even in severe dysarthria. Automated articulation rate assessment may serve as a natural, inexpensive biomarker for monitoring disease severity and a differential diagnosis of Parkinsonism.
Using the Experience Sampling Method to Examine the Details of Dosage in School-Based Speech Sound Therapy
Authors: Farquharson Kelly , McIlraith Autumn , Tambyraja Sherine , Constantino Christopher 
Published: March 2022

Purpose:The purpose of this project was to collect practice-based evidence regarding dosage in speech sound therapy sessions in school-based settings. Dosage is the number of trials within a therapy session for any one particular child. School-based speech-language pathologists (SLPs) face a variety of obstacles to service delivery, often making the implementation of evidence-based practices difficult. To that end, we were interested in exploring how therapy parameters, such as group size and session frequency were associated with dosage.Method:Using the experience sampling method, we queried school-based SLPs (n= 90) across the United States. SLPs participated via a phone application, which randomly alerted them to participate 3 times per day for 5 days. SLPs also completed a demographic questionnaire that included information regarding caseload size and job satisfaction.Results:We report results from 670 therapy sessions. Results revealed that the therapy parameter of group size was negatively related to dosage. The SLP parameter of caseload size was positively related to dosage, but this was a small association. The child parameter of comorbidity was negatively related to dosage.Conclusions:Our results support that as group size increases, children receive smaller doses of speech sound practice. Similarly, children who have a reported comorbidity received smaller doses compared to children who have an isolated speech sound disorder. We discuss implications for school-based practitioners and researchers.
Cultural Adaptations to Parent-Mediated Autism Spectrum Disorder Interventions for Latin American Families: A Scoping Review
Authors: DuBay Michaela 
Published: March 2022

Purpose:
This scoping review maps research in parent-mediated autism spectrum disorder interventions culturally adapted for Latin American populations, to provide an overview of the available evidence across perspectives and disciplines and to identify gaps in the research knowledge base.

Method:
A systematic search for relevant articles was conducted using six databases and archival and forward hand searches of articles that met inclusion criteria. Titles and abstracts were reviewed by three authors, followed by full-text reviews of remaining articles. Twenty-one articles met inclusion criteria and were retained for data extraction. The ecological validity framework was used to frame data analysis and results.

Results:
In total, 19 studies described unique implementations of 16 different interventions, which spanned 21 articles, representing a range of study designs and implementing a variety of adaptations. Most adaptations consisted of surface-structure changes, spanning the dimensions of language, concepts, methods, context, and persons. Few articles were identified that described international studies or studies examining direct parent-mediated strategies with large sample sizes and strong methodological designs.

Conclusions:
Several intervention adaptations that have potential for clinical utility are presented. Clinicians working with Latin American families are encouraged to discuss potential adaptations openly with families before choosing and implementing specific strategies.
What Can Altered Auditory Feedback Paradigms Tell Us About Vocal Motor Control in Individuals With Voice Disorders?
Authors: Weerathunge Hasini R. , Tomassi Nicole E. , Stepp Cara E. 
Published: March 2022

Purpose:
The goal of this review article is to provide a summary of the progression of altered auditory feedback (AAF) as a method to understand the pathophysiology of voice disorders. This review article focuses on populations with voice disorders that have thus far been studied using AAF, including individuals with Parkinson's disease, cerebellar degeneration, hyperfunctional voice disorders, vocal fold paralysis, and laryngeal dystonia. Studies using AAF have found that individuals with Parkinson's disease, cerebellar degeneration, and laryngeal dystonia have hyperactive auditory feedback responses due to differing underlying causes. In persons with PD, the hyperactivity may be a compensatory mechanism for atypically weak feedforward motor control. In individuals with cerebellar degeneration and laryngeal dystonia, the reasons for hyperactivity remain unknown. Individuals with hyperfunctional voice disorders may have auditory–motor integration deficits, suggesting atypical updating of feedforward motor control.

Conclusions:
These findings have the potential to provide critical insights to clinicians in selecting the most effective therapy techniques for individuals with voice disorders. Future collaboration between clinicians and researchers with the shared objective of improving AAF as an ecologically feasible and valid tool for clinical assessment may provide more personalized therapy targets for individuals with voice disorders.
Predicting cumulative effect of lifestyle risk factors for complex disease
Authors: Effiok Emmanuel , Liu Enjie , Hitchcock Jon 
Published: March 2022

AbstractIn medical domain, risk factors are often used to model disease predictions. In order to make the most use of the predictive models, linking the model with real patient data generates personalized disease progression and predictions. However, the risk factors are fragmented all over medical literature, certain risks can be accumulated for a disease and the aggregated probability may increase or decrease the occurrence of a disease. In this paper, a risk predictive framework which forms a base for a complete risk prediction model that can be used for various health applications is proposed.
Gesture recognition based on modified Yolov5s
Authors: Hu Dunli , Zhu Jun , Liu Jiayu , Wang Jiaju , Zhang Xiaoping 
Published: March 2022

AbstractWith the development of artificial intelligence technology, human–computer interaction technology through gestures, images and voices has gradually become a hot topic for discussion. A modified Yolov5s gesture recognition method is proposed in the field of human–computer cooperation by optimizing the network structure of Yolov5s backbone, CNN is replaced by Ghostbottleneck module to increase the target occlusion recognition rate. Secondly, tensor stitching is added to the output of Ghostbottleneck module for up sampling to strengthen the reuse of image features. Finally, the detection ability of the improved model in the face of complex environment is verified on the self‐made data set. Experimental results show that, the mAP@0.5 (mean average precision) of the modified Yolov5s is 94.49%, the AP (average precision) is 94.2%. By comparing the Yolov5s algorithm, Yolov4 algorithm,Yolov3 algorithm and SSD algorithm, the detection accuracy of the modified method has been significantly improved, which can fully meet the application requirements of real‐time detection of gesture‐controlled robots.
Microwave‐assisted torrefaction and pyrolysis of rice straw pellets for bioenergy
Authors: Prashanth Peter Francis , Gurrala Lakshmiprasad , Mohan Ravula Vishnu , Sarvanakumar Krishnasamy , Vinu Ravikrishnan 
Published: March 2022

AbstractThe highlights of this study involve the use of microwave heating for torrefaction and pyrolysis of pelletized rice straw for the generation of high‐quality bio‐char pellets, and thorough energy assessment of the process. The effects of microwave power and final temperature on the product yields and their quality were thoroughly assessed. At 600 W power, the bio‐char yield followed the trend: 33.7 wt.% (800°C) < 35.5 wt.% (600°C) < 55.6 wt.% (300°C). Bio‐char yield was unaffected by microwave power at the final temperature of 300°C. High yield of moisture (23.5 wt.%) with a minimal amount of bio‐oil (10.5 wt.%) and gases (10.7 wt.%) were obtained at 600 W and 300°C. The major functional groups in the bio‐oil were phenols (∼40%), cyclic oxygenates (∼16%), furan derivatives (∼20%) and aliphatic oxygenates (16%). Bio‐char obtained from torrefaction at 600 W and 300°C possessed a calorific value of 17.2 MJ/kg with limiting oxygen index of 36.7%, and power generation potential of 4.8 kWh/kg. Overall, microwave‐assisted torrefaction is shown to be a promising process intensification strategy to derive high‐quality bio‐char in a short time of 5–10 min with high process efficiency (51–56%) and comparable biomass conversion efficiency (∼83%) with respect to conventional pyrolysis.
Produced and perceived authenticity in the Northern Irish TV showDerry Girls
Authors: Díaz-Sierra Sara 
Published: March 2022

AbstractThe success of the Northern Irish TV showDerry Girlsseems partly due to its authentic portrayal of the English spoken in Northern Ireland and, more particularly, in Derry. This paper examines how authentic the performance of the Northern Irish accent by Ma Mary, one of the characters in the comedy, is from the points of view of produced and perceived authenticity. In order to determine the degree of produced authenticity, I investigate whether the pronunciation features present in Ma Mary’s speech are characteristic of Northern Irish English (NIE). On the other hand, an experiment has been designed to test the perceived authenticity of Ma Mary’s performed accent. The experiment consists of asking Northern Irish people to rate a short recording in terms of how authentic its representation of the NIE accent is. The results from the experiment confirm that the accent performed by Ma Mary is authentically Northern Irish.
Colon + Hyphen + Right Paren: At the Origins of Face Semiotics from Smileys to Memes
Authors: Marino Gabriele 
Published: March 2022

AbstractThe article engages with the semiotics of “stylized faces” in online communication, focusing on “smileys.” It reconstructs the origins of both emoticons and emojis, outlining how they differ functionally (paralinguistic signs vs. narrative figures) and commenting on their pragmatics, with regard to the issue of literacy as related to generational fruition. A chronology is provided of the first tokens of smileys in written communication, both before and after the Internet. By relying upon the anthropology of the face dating back to prehistory, the issues of iconism and universality are discussed, supporting the view that there is a strong cultural, conventional component in face depiction, varying diachronically (emoticons versus emojis) and diatopically (emoticons versus kaomojis, i.e., Japanese emoticons). Emoticons and emojis are regarded as prominent examples of intermedia, working at the intersection of written word and image. Finally, stylized digital faces are set in the broader framework of Internet memes, thus discussing the dichotomy between structural memes (the focus is on the formula) and iconic memes (the focus is on the image and, thus, the face). Throughout the text, great care is devoted to the philology of sources, some of them being presented in this form for the first time.
Electronic scattering in half-Heusler thermoelectrics from resistivity data
Authors: Quinn Robert J , Stenning Gavin B G , Bos Jan-Willem G 
Published: March 2022

Abstract
A key part of optimising thermoelectric materials is understanding the electronic scattering mechanism. For half-Heusler (HH) thermoelectrics, the dominant mechanisms are acoustic phonon scattering in pure systems and alloy scattering in highly alloyed systems. In this report, the significance of the residual resistivity ρ
0 is highlighted. Large ρ
0 values can lead to misidentification of the dominant scattering mechanism when only high-temperature ρ(T) data is available. A straightforward approach to analyse ρ(T) is proposed and applied to a range of HH systems. This reveals large levels of structural disorder in XIVNiSn, whilst XVFeSb has the strongest coupling with acoustic phonons. The electronic scattering mechanism depends sensitively on composition, with acoustic (ρ sim T
1.5), metallic (simT
1) and alloy (simT
0.5) scattering observed within the main HH families. With the aid of velocity of sound, band mass and carrier concentration data, the deformation potential can be obtained, enabling quantification of the interaction between phonons and carriers, from fits to resistivity data. This work provides a route for the analysis of experimental ρ(T) data that can be applied to a range of thermoelectric materials.
Tool path generation and optimization for freeform surface diamond turning based on an independently controlled fast tool servo
Authors: Sato Yusuke , Yan Jiwang 
Published: March 2022

Abstract
Diamond turning based on a fast tool servo (FTS) is widely used in freeform optics fabrication due to its high accuracy and machining efficiency. As a new trend, recently developed high-frequency and long-stroke FTS units are independently driven by a separate control system from the machine tool controller. However, the tool path generation strategy for the independently controlled FTS is far from complete. This study aims to establish methods for optimizing tool path for the independent control FTS to reduce form errors in a single step of machining. Different from the conventional integrated FTS control system, where control points are distributed in a spiral pattern, in this study, the tool path for the independent FTS controller is generated by the ring method and the mesh method, respectively. The machined surface profile is predicted by simulation and the parameters for the control point generation are optimized by minimizing the deviation between the predicted and the designed surfaces. To demonstrate the feasibility of the proposed tool path generation strategies, cutting tests of a two-dimensional sinewave and a micro-lens array were conducted and the results were compared. As a result, after tool path optimization, the peak-to-valley form error of the machined surface was reduced from 429 nm to 56 nm for the two-dimensional sinewave by using the ring method, and from 191 nm to 103 nm for the micro-lens array by using the mesh method, respectively.
Hippocampal Subfields in Mild Cognitive Impairment: Associations with Objective and Informant-Report of Memory Function
Authors: O’Shea Deirdre M , de Wit Liselotte , Tanner Jared , Mejia Kurasz Andrea , Amofa Priscilla , Perez Lao Ambar , Levy Shellie-Anne , Chandler Melanie , Smith Glenn 
Published: March 2022

AbstractBackgroundEvidence suggests that select hippocampal subfields are implicated in the initial stages of Alzheimer’s disease (AD) and are selectively involved in objective memory. Less is known whether subfields are associated with informant-reported memory difficulties of individuals with a diagnosis of mild cognitive impairment (MCI).MethodData from 56 participants with a diagnosis of amnestic MCI were included in the present study. To test whether FreeSurfer derived hippocampal subfields (CA1–4, subiculum, presubiculum, and dentate gyrus) were associated with objective (learning and delayed recall) and informant-reports of memory difficulties, we used multiple linear regression analysis. Subfields were adjusted for total intracranial volume, and age, sex, and years of education were included as covariates in all models.ResultsLarger presubiculum, subiculum, and CA4/dentate gyrus volumes were associated with higher delayed recall scores, and larger subiculum and CA4/dentate gyrus volumes were associated with fewer informant-reports of memory difficulties. There were no statistically significant associations between subfields and learning scores.DiscussionFindings from the present study support the idea that difficulties with memory-dependent everyday tasks in older adults with MCI may signal a neurodegenerative process while increasing understanding of subfields correlates of these memory-specific functional difficulties. Continued investigations into identifying patterns of subfield atrophy in AD may aid early identification of those at higher risk of dementia conversion while advancing precision medicine.
Analysing high-throughput sequencing data in Python with HTSeq 2.0
Authors: Putri Givanna H , Anders Simon , Pyl Paul Theodor , Pimanda John E , Zanini Fabio 
Published: March 2022

Abstract

Summary
HTSeq 2.0 provides a more extensive application programming interface including a new representation for sparse genomic data, enhancements for htseq-count to suit single-cell omics, a new script for data using cell and molecular barcodes, improved documentation, testing and deployment, bug fixes and Python 3 support.

Availability and implementation
HTSeq 2.0 is released as an open-source software under the GNU General Public License and is available from the Python Package Index at https://pypi.python.org/pypi/HTSeq. The source code is available on Github at https://github.com/htseq/htseq.

Supplementary information
Supplementary data are available at Bioinformatics online.