bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparing neuronal oscillations during visual spatial attention orienting between normobaric and hypobaric hypoxia
Authors: Hutcheon Evan A. , Vakorin Vasily A. , Nunes Adonay S. , Ribary Urs , Ferguson Sherri , Claydon Victoria E. , Doesburg Sam M. 
Published: October 2023

AbstractNormobaric hypoxia (NH) and hypobaric hypoxia (HH) are both used to train aircraft pilots to recognize symptoms of hypoxia. NH (low oxygen concentration) training is often preferred because it is more cost effective, simpler, and safer than HH. It is unclear, however, whether NH is neurophysiologically equivalent to HH (high altitude). Previous studies have shown that neural oscillations, particularly those in the alpha band (8–12 Hz), are impacted by hypoxia. Attention tasks have been shown to reliably modulate alpha oscillations, although the neurophysiological impacts of hypoxia during cognitive processing remains poorly understood. To address this we investigated induced and evoked power alongside physiological data while participants performed an attention task during control (normobaric normoxia or NN), NH (fraction of inspired oxygen = 12.8%, partial pressure of inspired oxygen = 87.2 mmHg), and HH (3962 m, partial pressure of inspired oxygen = 87.2 mmHg) conditions inside a hypobaric chamber. No significant differences between NH and HH were found in oxygen saturation, end tidal gases, breathing rate, middle cerebral artery velocity and blood pressure. Induced alpha power was significantly decreased in NH and HH when compared to NN. Participants in the HH condition showed significantly increased induced lower-beta power and evoked higher-beta power, compared with the NH and NN conditions, indicating that NH and HH differ in their impact on neurophysiological activity supporting cognition. NH and HH were found not to be neurophysiologically equivalent as electroencephalography was able to differentiate NH from HH.
Health-related quality of life after surviving intensive care for COVID-19: a prospective multicenter cohort study
Authors: Halvorsen Peter , Hultström Michael , Hästbacka Johanna , Larsson Ing-Marie , Eklund Rakel , Arnberg Filip K. , Hokkanen Laura , Frithiof Robert , Wallin Ewa , Orwelius Lotti , Lipcsey Miklós 
Published: October 2023

AbstractIn survivors of severe coronavirus disease 2019 (COVID-19) incomplete mental and physical recovery may considerably impact daily activities and health-related quality of life (HRQoL). HRQoL can be evaluated with the RAND-36 questionnaire, a multidimensional instrument that assesses physical and mental aspects of health in eight dimensions. The objective was to investigate HRQoL in intensive care patients previously treated for COVID-19 at three Nordic university hospitals, in a prospective multi-center cohort study. HRQoL was measured using RAND-36, 3–9 months after discharge from intensive care units (ICU). One hospital performed a second follow-up 12 months after discharge. A score under the lower limit of the 95% confidence interval in the reference cohorts was considered as significantly reduced HRQoL. We screened 542 and included 252 patients. There was more than twice as many male (174) as female (78) patients and the median age was 61 (interquartile range, IQR 52–69) years. Hypertension was the most common comorbidity observed in 132 (52%) patients and 121 (48%) patients were mechanically ventilated for a median of 8 (IQR 4–14) days. In RAND-36 physical functioning, physical role functioning, general health (p < 0.001 for all) and social functioning (p < 0.05) were below reference, whereas bodily pain, emotional role functioning and mental health were not. In a time-to-event analysis female sex was associated with a decreased chance of reaching the reference HRQoL in the physical function, bodily pain and mental health dimensions. Higher body mass index was found in the physical functioning dimension and hypertension in the physical functioning, vitality and social functioning dimensions. Similar results were seen for diabetes mellitus in general health, vitality and mental health dimensions, as well as pulmonary illness in the physical role functioning dimension and psychiatric diagnosis in the social functioning dimension. Mechanical ventilation was associated with a decreased likelihood of achieving reference HRQoL in the bodily pain and physical functioning dimensions. Patients treated in an ICU because of COVID-19 had lower HRQoL 3–9 months after ICU discharge than 95% of the general population. Physical dimensions were more severely affected than mental dimensions. Female sex and several comorbidities were associated with a slower rate of recovery.Study registration: clinicaltrials.gov: NCT04316884 registered on the 13th of March 2020, NCT04474249 registered on the 29th of June 2020 and NCT04864938 registered on the 4th of April 2021.
An acid-based DES as a novel catalyst for the synthesis of pyranopyrimidines
Authors: Monem Arezo , Habibi Davood , Goudarzi Hadis 
Published: October 2023

AbstractDeep eutectic solvents have countless advantages over normal solvents, and in addition to complying with the principles of green chemistry, depending on their nature, they can also act as catalysts. The use of deep eutectic solvents as acid catalysts has several advantages such as non-toxicity, a catalytic effect similar to or higher than the acid itself, and the possibility of recovery and reuse without significant loss of activity. In this project, A novel deep eutectic solvent (MTPPBr–PCAT–DES) was prepared from a one-to-one mole ratio of methyltriphenyl-phosphonium bromide (MTPPBr) and 3,4-dihydroxybenzoic acid (PCAT = protocatechuic acid) and characterized by various techniques such as FT-IR, TGA/DTA, densitometer, eutectic point, 1H NMR, 13C NMR and 31P NMR. Then, it was used as a novel and capable catalyst for the synthesis of pyranopyrimidines from the multicomponent condensation reaction of barbituric acid, 4-hydroxycoumarin, and aromatic aldehydes in mild conditions, short reaction times, and high yields.
Topic modeling and clustering in the trace data-driven analysis of job demands among teachers
Authors: Kalliomäki-Levanto Tiina , Kivimäki Ilkka , Varje Pekka , Haavisto Olli 
Published: October 2023

AbstractPsychosocial work environment characteristics like job demands have traditionally been studied using survey data. We propose an alternative approach utilizing work related trace data collected from the information systems that employees use to achieve organizational goals. We analyze the job demands of teachers from two universities of applied sciences using trace data collected from the educational online platform Moodle over a period of 90 weeks. The data contain pairs of targets and actions (like message_sent) performed by teachers on Moodle. The timestamps of the target-action pairs allow us to study the dynamic nature of job demands, which is not possible by using periodically collected survey data. We show how trace data can be used to analyze processes related to job demands using data-driven approaches. We have identified topics, themes, temporal processes, and employee clusters from Moodle data representing the work tasks of teachers. The information obtained is action-oriented, context-specific, and dynamic, meeting the current needs for information about changing working life. The approach we have provided could be widely utilized in organizations as well as in research on occupational wellbeing. It is useful in identifying targets for intervention and it could be expanded to include prediction models on different outcomes.
Rapid responses of human pluripotent stem cells to cyclic mechanical strains applied to integrin by acoustic tweezing cytometry
Authors: Xu Zhaoyi , Liu Shiying , Xue Xufeng , Li Weiping , Fu Jianping , Deng Cheri X. 
Published: October 2023

AbstractAcoustic tweezing cytometry (ATC) is an ultrasound-based biophysical technique that has shown the capability to promote differentiation of human pluripotent stem cells (hPSCs). This study systematically examined how hPSCs respond to cyclic mechanical strains applied by ATC via displacement of integrin-bound microbubbles (averaged diameter of 4.3 µm) using ultrasound pulses (acoustic pressure 0.034 MPa, center frequency 1.24 MHz and pulse repetition frequency 1 Hz). Our data show downregulation of pluripotency marker Octamer-binding transcription factor 4 (OCT4) by at least 10% and increased nuclear localization of Yes-associated protein (YAP) by almost 100% in hPSCs immediately after ATC application for as short as 1 min and 5 min respectively. Analysis of the movements of integrin-anchored microbubbles under ATC stimulations reveals different stages of viscoelastic characteristic behavior and increasing deformation of the integrin-cytoskeleton (CSK) linkage. The peak displacement of integrin-bound microbubbles increased from 1.45 ± 0.16 to 4.74 ± 0.67 μm as the duty cycle of ultrasound pulses increased from 5% to 50% or the duration of each ultrasound pulse increased from 0.05 to 0.5 s. Real-time tracking of integrin-bound microbubbles during ATC application detects high correlation of microbubble displacements with OCT4 downregulation in hPSCs. Together, our data showing fast downregulation of OCT4 in hPSCs in respond to ATC stimulations highlight the unique mechanosensitivity of hPSCs to integrin-targeted cyclic force/strain dependent on the pulse duration or duty cycle of ultrasound pulses, providing insights into the mechanism of ATC-induced accelerated differentiation of hPSCs.
The impact of antibiotic prophylaxis with intracameral cefuroxime on postoperative infectious endophthalmitis rates in a high-volume cataract surgery center
Authors: de Sousa Casavechia Luciane Nunes , Meireles Antonio Carlos , Schapira Evandro , Fernandes Rodrigo Antonio Brant , Fernandes Arthur Gustavo 
Published: October 2023

AbstractOur purpose was to compare postoperative infectious endophthalmitis rates before and after the introduction of antibiotic prophylaxis via intracameral with cefuroxime (ATB-P IC) in a high-volume cataract surgery service. Retrospective cohort study considering patients who underwent cataract surgery at Ophthal Hospital Especializado, São Paulo, Brazil, from January/2011 to December/2019. Patients operated from 2013 to 2019 comprised the ATB-P IC group while those operated from 2011 to 2013 formed the control group without the ATB-P IC protocol. A total of 23,184 cataract surgeries were included, with 6,207 in the Control Group and 16,977 in the ATB-P Group. A significantly higher rate of endophthalmitis was observed in the control group (0.0967%) when compared to the ATB-P group (0.0177%) (p = 0.014). Surgeries performed with ATB-P showed 80% less chance of reported endophthalmitis (OR = 0.20; 95% CI 0.05–0.72; p = 0.014) than those without ATB-P. Of the six cases confirmed by culture in the control group, all tested positive for Pseudomonas aeroginosa and the only case confirmed by culture in the ATB-P group was positive for Staphylococcus epidermidis. Our findings strongly support the use of intracameral antibiotic prophylaxis with cefuroxime to reduce postoperative infectious endophthalmitis rates, and we recommend its incorporation into cataract surgery protocols.
Hfq C-terminal region forms a β-rich amyloid-like motif without perturbing the N-terminal Sm-like structure
Authors: Berbon Mélanie , Martinez Denis , Morvan Estelle , Grélard Axelle , Kauffmann Brice , Waeytens Jehan , Wien Frank , Arluison Véronique , Habenstein Birgit 
Published: October 2023

AbstractHfq is a pleitropic actor that serves as stress response and virulence factor in the bacterial cell. To execute its multiple functions, Hfq assembles into symmetric torus-shaped hexamers. Extending outward from the hexameric core, Hfq presents a C-terminal region, described as intrinsically disordered in solution. Many aspects of the role and the structure of this region remain unclear. For instance, in its truncated form it can promote amyloid-like filament assembly. Here, we show that a minimal 11-residue motif at the C-terminal end of Hfq assembles into filaments with amyloid characteristics. Our data suggest that the full-length Hfq in its filamentous state contains a similar molecular fingerprint than that of the short β-strand peptide, and that the Sm-core structure is not affected by filament formation. Hfq proteins might thus co-exist in two forms in vivo, either as isolated, soluble hexamers or as self-assembled hexamers through amyloid-reminiscent interactions, modulating Hfq cellular functions.
Hydrodynamic pursuit by cognitive self-steering microswimmers
Authors: Goh Segun , Winkler Roland G. , Gompper Gerhard 
Published: October 2023

AbstractThe properties of biological microswimmers are mostly determined by fluid-mediated interactions, which govern their propulsion, perception of their surrounding, and the steering of their motion for pursuit. Transferring similar functionalities to synthetic microswimmers poses major challenges, and the design of favorable steering and pursuit strategies is fundamental in such an endeavor. Here, we employ a squirmer model to investigate the pursuit of pursuer-target pairs with an implicit sensing mechanism and limited hydrodynamic steering abilities of the pursuer. Two hydrodynamic steering strategies are studied for the pursuer’s propulsion direction by adaptation of its surface flow field: reorientation toward the target with limited maneuverability, and alignment with the target’s propulsion direction combined with speed adaptation. Depending on the nature of the microswimmer propulsion (puller, pusher) and the velocity-adaptation scheme, stable cooperatively moving states can be achieved, where pursuer and target mutually affect their motion and trajectories.
A verifiable essential secret image sharing scheme based on HLRs (VESIS‐(t, s, k, n))
Authors: Hadian Dehkordi Massoud , Farahi Seyed Taghi , Mashhadi Samaneh 
Published: October 2023

AbstractIn traditional secret image sharing schemes, a secret image is shared among shareholders who have the same position. But if the shareholders have two different positions, essential and non‐essential, it is necessary to use essential secret image sharing schemes. In this article, a verifiable essential secret image sharing scheme based on HLRs is proposed. Shareholder's share consists of two parts. The first part is produced by the shareholders, which prevents the fraud of dealers. The second part is a shadow image that is produced by using HLRs and the first part of share. The verification of the first part of the shares is done for the first time by using multilinear and bilinear maps. Also, for verifying shadow images, Bloom Filters are used for the first time. The proposed scheme is more efficient than similar schemes, and for the first part of the shares, has formal security.
Enhancing privacy with optical element design for fall detection
Authors: Gong Liyun , Mccall Sheldon , Yu Miao 
Published: October 2023

AbstractFalling poses significant risks, especially for the geriatric population. In this study, the authors introduce an innovative approach to privacy‐preserving fall detection using computer vision. The authors’ technique leverages a deep neural network (DNN) to accurately identify falling events in input images, while simultaneously prioritizing privacy through the implementation of an optical element. The experimental results establish that the authors’ proposed method outperforms alternative hardware and software‐based privacy‐preserving approaches in terms of encryption level and accuracy. These results are derived from an extensive dataset encompassing diverse falling scenarios.
Impact of ByteDance crisis communication strategies on different social media users
Authors: Che ShaoPeng , Zhou Yuanhang , Zhang Shunan , Nan Dongyan , Kim Jang Hyun 
Published: October 2023

AbstractThe impact of corporate crisis communication strategies on users’ attitudes across different platforms has emerged as a new focal point in crisis management. This study is rooted in Social Media Crisis Communication (SMCC) and employs the case of Trump’s sanctions on TikTok to analyze variations in the effects of ByteDance’s crisis communication strategies on different social media platforms. We initally identified five announcements that generated significant discussions on Toutiao and Weibo and collected the corresponding user comments (a total of 50,702). Subsequently, we utilized two approaches, machine learning and deep learning, to conduct sentiment classification tests on the text to identify the best-performing model. This model was then applied on the entire dataset for sentiment classification, followed by semantic network analysis based on the sentiment classification results. The results demostrated that the pre-trained ERNIE model outperformed the other tested models (F1 = 82.40%). Following the fourth crisis communication event, users on Toutiao and Weibo exhibited contrasting sentimental tendencies. Theoretically, we observed that users on different social media platforms relying on distinct information sources, expressed different sentimental responses to the same crisis. Social media users have a tendency to anthropomorphize corporate personality traits. In practical terms, we recommend that companies engage in crisis communication on multiple social media platforms and do not overlook the most influential platforms in the market.
Comparing the influence of visual information and the perceived intelligence of voice assistants when shopping for sustainable clothing online
Authors: Li Pei , Wu Chunmao , Spence Charles 
Published: October 2023

AbstractIn an effort to reduce the negative impact of clothing manufacturing on the environment, a number of international clothing brands have made strides towards engaging in more environmentally-sustainable behaviours. However, further research is still needed in order to understand the effects of these efforts on consumer perception and decision-making in the case of sustainable clothing. This study examines the role of visual information (VI) associated with sustainable clothing on a website, and the perceived intelligence of voice assistants (PIVA), in influencing consumers’ purchase behaviour (PB) when shopping online for sustainable clothing. 2656 valid samples were collected and analysed using correlation analysis, factor analysis, and regression analysis. The results indicate that VI and PIVA both significantly influence consumers’ positive attitudes and PB towards sustainable clothing. Furthermore, the significant effect of these two factors on PB, through positive attitude towards sustainable clothing, are moderated by knowledge of sustainability issues. This paper therefore provides theoretical implications for sustainable clothing online retailing by testing the relationship between relevant variables. The findings also contribute to brand retailers improving their consumers’ decision-making and strengthening the perception-behaviour relationship in sustainable clothing shopping.
Screening single-cell trajectories via continuity assessments for cell transition potential
Authors: Zheng Zihan , Chang Ling , Li Yinong , Liu Kun , Mu Jie , Zhang Song , Li Jingyi , Wu Yuzhang , Zou Liyun , Ni Qingshan , Wan Ying 
Published: October 2023

Abstract
Advances in single-cell sequencing and data analysis have made it possible to infer biological trajectories spanning heterogeneous cell populations based on transcriptome variation. These trajectories yield a wealth of novel insights into dynamic processes such as development and differentiation. However, trajectory analysis relies on an assumption of trajectory continuity, and experimental limitations preclude some real-world scenarios from meeting this condition. The current lack of assessment metrics makes it difficult to ascertain if/when a given trajectory deviates from continuity, and what impact such a divergence would have on inference accuracy is unclear. By analyzing simulated breaks introduced into in silico and real single-cell data, we found that discontinuity caused precipitous drops in the accuracy of trajectory inference. We then generate a simple scoring algorithm for assessing trajectory continuity, and found that continuity assessments in real-world cases of intestinal stem cell development and CD8 + T cells differentiation efficiently identifies trajectories consistent with empirical knowledge. This assessment approach can also be used in cases where a priori knowledge is lacking to screen a pool of inferred lineages for their adherence to presumed continuity, and serve as a means for weighing higher likelihood trajectories for validation via empirical studies, as exemplified by our case studies in psoriatic arthritis and acute kidney injury. This tool is freely available through github at qingshanni/scEGRET.
NG-SEM: an effective non-Gaussian structural equation modeling framework for gene regulatory network inference from single-cell RNA-seq data
Authors: Zhao Jiaying , Wong Chi-Wing , Ching Wai-Ki , Cheng Xiaoqing 
Published: October 2023

Abstract
Inference of gene regulatory network (GRN) from gene expression profiles has been a central problem in systems biology and bioinformatics in the past decades. The tremendous emergency of single-cell RNA sequencing (scRNA-seq) data brings new opportunities and challenges for GRN inference: the extensive dropouts and complicated noise structure may also degrade the performance of contemporary gene regulatory models. Thus, there is an urgent need to develop more accurate methods for gene regulatory network inference in single-cell data while considering the noise structure at the same time. In this paper, we extend the traditional structural equation modeling (SEM) framework by considering a flexible noise modeling strategy, namely we use the Gaussian mixtures to approximate the complex stochastic nature of a biological system, since the Gaussian mixture framework can be arguably served as a universal approximation for any continuous distributions. The proposed non-Gaussian SEM framework is called NG-SEM, which can be optimized by iteratively performing Expectation-Maximization algorithm and weighted least-squares method. Moreover, the Akaike Information Criteria is adopted to select the number of components of the Gaussian mixture. To probe the accuracy and stability of our proposed method, we design a comprehensive variate of control experiments to systematically investigate the performance of NG-SEM under various conditions, including simulations and real biological data sets. Results on synthetic data demonstrate that this strategy can improve the performance of traditional Gaussian SEM model and results on real biological data sets verify that NG-SEM outperforms other five state-of-the-art methods.