bluuebunny/crossref_metadata_2025_split huggingface dataset:
Transcriptomic dysregulations associated with SARS-CoV-2 infection in human nasopharyngeal and peripheral blood mononuclear cells
Authors: de Melo Caroline Vilas Boas , Bhuiyan Maruf Ahmed , Gatua Winfred Nyoroka , Kanyerezi Stephen , Uzairue Leonard , Abechi Priscilla , Kumar Karan , Rahmat Jabale , Giwa Abdulazeez , Mwandira Gracious , Olamilekan Abisogun Mujib , George Tiffany Ezinne , Adejinmi Oluwapelumi John , Ibironke Monsurat Ademidun , Rotimi Olayemi David , Abo-Elenein Dina Aly Mahmoud Aly , Abubakar Ridwanullah Abiodun , Usman Mahmood , Adewunmi Ifeoluwa , Akinpelu Oyewumi , Emmanuel Olajide , Reang Khatendra , Olalekan Akadiri , Carl Sarah H. 
Published: September 2020

AbstractIntroductionOver 24 million people have been infected globally with the novel coronavirus, SARS-CoV-2, with more than 820,000 succumbing to the resulting COVID-19 disease as of the end of August 2020. The molecular mechanisms underlying the pathogenesis of the disease are not completely elucidated. Thus, we aim to understand host response to SARS-CoV-2 infection by comparing samples collected from two distinct compartments (infection site and blood), obtained from COVID-19 subjects and healthy controls.MethodsWe used two publicly available gene expression datasets generated via RNA sequencing in two different samples; nasopharyngeal swabs and peripheral blood mononuclear cells (PBMCs). We performed a differential gene expression analysis between COVID-19 subjects and healthy controls in the two datasets and then functionally profiled their differentially expressed genes (DEGs). The genes involved in innate immunity were also determined.ResultsWe found a clear difference in the host response to SARS-CoV-2 infection between the two sample groups. In COVID-19 subjects, the nasopharyngeal sample group indicated upregulation of genes involved in cytokine activity and interferon signalling pathway, as well as downregulation of genes involved in oxidative phosphorylation and viral transcription. Host response in COVID-19 subjects for the PBMC group, involved upregulation of genes involved in the complement system and immunoglobulin mediated immune response.CXCL13, GABRE, IFITM3were upregulated andHSPA1Bwas downregulated in COVID-19 subjects in both sample groups.ConclusionOur results indicate the host response to SARS-CoV-2 is compartmentalized and suggests potential biomarkers of response to SARS-CoV-2 infection.HighlightsTranscriptomic profiling from publicly available RNA-seq count data revealed a site-specific immune response in COVID-19.Host response was found cellular-mediated in nasopharyngeal samples and humoral-mediated in PBMCs samples.CXCL13, GABREandIFITM3commonly upregulated andHSPA1Bdownregulated in both sample groups highlights the potential of these molecules as markers of response to SARS-CoV-2 infection.
Phase separation of tunable biomolecular condensates predicted by an interacting particle model
Authors: Muñoz-Gil Gorka , Romero-Aristizabal Catalina , Mateos Nicolas , de Llobet Cucalon Lara Isabel , Beato Miguel , Lewenstein Maciej , Garcia-Parajo Maria F. , Torreno-Pina Juan A. 
Published: September 2020

ABSTRACTPhase separation is emerging as key principle in the spatiotemporal organization of living cells. Given its relevance in the regulation of numerous biological functions, including gene transcription and chromatin architecture, modeling biomolecular condensation is gaining interest. Yet, most models developed so far rely on specific descriptions and/or experimentally inaccessible properties. Here we propose a theoretical model, where phase separation is explained by means of interaction probabilities between particles. With minimum model requirements, particle condensates emerge above a critical interaction probability. We tested the model predictions with single molecule experiments of tunable transcription factor condensates in the nucleus of living cells. Phase separation, condensate sizes, diffusion behavior, and mobility parameters, quantified by data analysis and machine learning, are fully recapitulated by our model. Our combined theoretical and experimental approach provides a general framework to investigate the biophysical parameters controlling phase separation in living cells and in other soft matter-based interacting systems.
Unprotected Peptide Macrocyclization and Stapling via A Fluorine-Thiol Displacement Reaction
Authors: Islam Md Shafiqul , Junod Samuel L. , Zhang Si , Buuh Zakey Yusuf , Guan Yifu , Kaneria Kishan H , Lyu Zhigang , Voelz Vincent , Yang Weidong , Wang Rongsheng E. 
Published: September 2020

AbstractStapled peptides serve as a powerful tool for probing protein-protein interactions, but its application has been largely impeded by the limited cellular uptake. Here we report the discovery of a facile peptide macrocyclization and stapling strategy based on a fluorine thiol displacement reaction (FTDR), which renders a class of peptide analogues with enhanced stability, affinity, and cell permeability. This new approach enabled selective modification of the orthogonal fluoroacetamide side chains in unprotected peptides, with the identified 1,3-benzenedimethanethiol linker promoting alpha helicity of a variety of peptide substrates, as corroborated by molecular dynamics simulations. The cellular uptake of these stapled peptides was universally enhanced compared to the classic ring-closing metathesis (RCM) stapled peptides. Pilot mechanism studies suggested that the uptake of FTDR-stapled peptides may involve multiple endocytosis pathways. Consistent with the improved cell permeability, the FTDR-stapled lead Axin analogues demonstrated better inhibition of cancer cell growth than the RCM-stapled analogues.Graphical Abstract
Theta rhythmic attentional enhancement of alpha rhythmic perceptual sampling
Authors: Michel René , Dugué Laura , Busch Niko A. 
Published: September 2020

AbstractAccumulating evidence suggests that visual perception operates in an oscillatory fashion at an alpha frequency (around 10 Hz). Moreover, visual attention also seems to operate rhythmically, albeit at a theta frequency (around 5 Hz). Both rhythms are often associated to “perceptual snapshots” taken at the favorable phases of these rhythms. However, less is known about the unfavorable phases: do they constitute “blind gaps,” requiring the observer to guess, or is information sampled with reduced precision insufficient for the task demands? As simple detection or discrimination tasks cannot distinguish these options, we applied a continuous report task by asking for the exact orientation of a Landolt ring’s gap to estimate separate model parameters for precision and the amount of guessing. We embedded this task in a well-established psychophysical protocol by densely sampling such reports across 20 cue-target stimulus onset asynchronies in a Posner-like cueing paradigm manipulating involuntary spatial attention. Testing the resulting time courses of the guessing and precision parameters for rhythmicities using a fast Fourier transform, we found an alpha rhythm (9.6 Hz) in the precision parameter and a theta rhythm (4.8 Hz) in the guess rate for invalidly cued trials. These results indicate that the perceptual alpha rhythm reflects fluctuations in spatial resolution, while the attentional theta rhythm provides periodic enhancement of this resolution. We propose a tentative model for this interplay and argue that both rhythms result in an environmental sampling characterized by fluctuating spatial resolution, speaking against a strict succession of blind gaps and perceptual snapshots.
Why are Chinese and North American guests satisfied or dissatisfied with hotels? An application of big data analysis
Authors: Ying Shun , Chan Jin Hooi , Qi Xiaoguang 
Published: September 2020

Purpose
The paper aims to identify the emergent themes of hotel guests’ satisfaction, to compare the distribution of the attributes of the themes between Chinese and North American guests and to compare the importance of the themes for different satisfaction levels between Chinese and North American guests from a cross-cultural perspective.

Design/methodology/approach
By adopting Python (a computer language), the word-frequency method was used to identify emergent themes of hotel guests’ satisfaction. Topic modeling was adopted to compare the attributes distribution of each theme and the features of satisfaction between Chinese and North American guests.

Findings
First, three themes were identified including functionality, staff and price. Functionality can be further categorized into five subthemes, namely, room, travel, food, environment and hotel facility. Second, the distribution of the attributes of the themes between Chinese and North American guests was compared from a cross-cultural perspective. Chinese guests tend to mention both lifestyles- and social norms–related attributes and expect personalized service, while North American guests mainly prefer to describe lifestyle-related attributes and prefer standardized service. Third, the study compared the changing importance of the themes (functionality, staff and price) for different satisfaction levels between Chinese and North American guests. As the satisfaction level decreases, the importance of functionality decreases, that of staff increases and that of price remain stable for Chinese guests. In contrast, the importance of each theme has fluctuated mildly from the high to the low satisfaction level for North American guests.

Practical implications
Proposed managerial implications are to highlight lifestyle- and social norms-related attributes, as well as personalized service for Chinese guests. However, lifestyle-related attributes and standardized service should be facilitated for North American guests. Specific suggestions were made to help improve hotel performance such as the good performance of functional-related attributes, which could enhance satisfaction and better staff performance, which would reduce dissatisfaction.

Originality/value
By mining big data, this study investigated hotel guests’ satisfaction from a dynamic instead of a static perspective. This study provides some rare insights into differences in key attributes influencing satisfaction levels of Chinese versus North American guests staying in luxury hotels in China. This study also takes a novel approach to examine the dynamics of the importance of the various themes at different satisfaction levels, and contrast these dynamics between Chinese and North American guests. The findings offer valuable insight into market segmentation and management in the hospitality industry.
Cultural influences on normative reactions to incivility: comparing individuals from South Korea and Spain
Authors: Moon Chanki , Sánchez‐Rodríguez Ángel 
Published: September 2020

Purpose
Antecedents and influences of workplace incivility have recently been studied in many areas of research but there is still a lack of consideration for the impact of culture. Theoretical considerations for the present research are based on the cultural dimensions of power distance and tightness/looseness because the collective levels of power distance are similar between Korea and Spain, but the collective levels of tightness/looseness are different between the two countries. The purpose of this paper is to examine whether individuals’ occupational position affects their normative reactions to incivility differently.

Design/methodology/approach
Participant (victim)’s (those who react to uncivil behaviors) social power (low vs high) and perpetrator’s (those who exhibit uncivil behaviors) social power (low vs high) were experimentally manipulated; all participants were randomly assigned to one of four perpetrator × victim conditions in relation to hierarchical positions (Ntot = 467).

Findings
The results suggest that the level of social and personal acceptability was greater either among Koreans than Spanish at a collective level or among people who endorsed higher power distance and tightness values. All in all, the findings highlight cultural influences on the importance of social hierarchy as a factor that can impact the people’s normative reactions to incivility.

Originality/value
The findings broaden our understanding of the psychology of employees in relation to incivility, by simultaneously considering the influences of culture (power distance and tightness/looseness) and social power.
Sustainability-oriented innovation (SOI) in the cultural village: an actor-network perspective in the case of Laweyan Batik Village
Authors: Harsanto Budi , Permana Chrisna T. 
Published: September 2020

PurposeThis study aims to explore the development of sustainability-oriented innovation (SOI) in the cultural village. SOI has recently generated widespread interest, both academically and practically, by factoring in environmental and social impacts in addition to economic aspects. However, previous works have mostly been performed at profit organisations, with few discussed at the non-profit, and likewise, in the cultural village.Design/methodology/approachThis study uses a qualitative approach by focusing on a unique case, Laweyan Batik Village in Surakarta, Indonesia. Founded in the 15th century, Laweyan Batik Village remains the oldest batik village in Indonesia. Batik is the traditional fabric of Indonesia, influenced by Arabian, Chinese and European patterns, that was recognised in 2009 by UNESCO as part of the World's Intangible Cultural Heritage. The actor-network theory (ANT) is used as an analytical framework to understand the process of SOI development through the role of actors in developing innovations.FindingsThe findings suggest that, it is not only in mainstream business sectors and formal settings, as already evidenced by existing literature, that SOI can be promoted, but also in community sectors and within informal settings. This paper has found that the development of sustainability innovation in these settings is challenged by the dynamics of the actors and the institutional settings. The overall development process of sustainability innovation has been undertaken through so-called “collaborative practices”, emphasising the involvement of government actors and non-government actors, highlighting community leaders, academics and NGOs as the “in-between” actors who provide knowledge sharing and maintain communications to ensure the promotion of the SOI concepts and programmes.Originality/valueThis research contributes in two main ways: first, an understanding of the process of sustainability innovation in a cultural village that has not been deeply explored by current literature; and second, the use of the actor network theory as an analytical framework from which to map the process of SOI collaborative development through networking dimensions.
The effects of resilience and familiarity on the relationship between CSR and consumer attitudes
Authors: Rew Dongjun , Cha Wonsuk 
Published: September 2020

Purpose
This study aims to explore the effects of consumer resilience and brand familiarity on the relationship between corporate social responsibility (CSR) and consumer attitudes toward the company conducting CSR in places that have suffered from traumatic events such as natural or anthropogenic disasters and uncertainty of public health issue.

Design/methodology/approach
This study collected survey-based data from 194 participants who suffered from natural and anthropogenic disasters in the state of Texas. Path analysis was used to test each structural relationship among variables after verifying the reliability and validity of each variable. Analysis of variance was used to investigate the difference in resilience between the two groups.

Findings
This study verified that there is a positive relationship between CSR and consumer attitude. More importantly, the results show that both resilience and familiarity play an important role as a mediator in the relationship between CSR and attitudes. In particular, it tells us that a group with high resilience shows a higher possibility of having positive attitudes toward the company than another group having low resilience.

Originality/value
This study empirically tested the impacts of CSR, resilience and brand familiarity on building consumer attitudes. Furthermore, this study explored the effects of resilience and brand familiarity on the relationship between CSR and attitudes. Thus, this study was able to contribute to understanding the effects of CSR, resilience and familiarity on building a positive attitude in the specific settings, in terms of traumatic events, theoretically and practically.
3D Surface Scanning for Smart Repair Manufacturing Application
Authors: Chuang Ho-Yu , Chang Jen-Yuan (James) 
Published: September 2020

Abstract
At present, automatic machines have gradually replaced human labor for improving both the stability and effectiveness of manufacturing operations. Five-axis CNC machine tools are commonly used for traditional surface milling machining. However, it is still necessary to manually reposition the work-piece for the CNC machine tools that enviably lowers position accuracy. As such, it is essential to develop an integrated fusion system that can scan any objects and conduct repair operations automatically. The primary purpose of this research is to integrate the stereo vision system into an existing industrial manipulator. With the proposed method and system, the position error can be reduced by avoiding moving the work-pieces during operations. Also, reconstructing the scan results from multiple views avoids the common blocking problem in vision. Finally, the distance of the manipulator path is optimized by the Hill Climbing algorithm, allowing to create a trajectory of the manipulator end-effector to reprocess the work-piece. In the future, this system can be implemented for automated optical inspection (AOI), such as pipeline maintenance, turbine engine maintenance, and automatic classification of defects.
Robot Manipulator Vibration Resistance Control Based on Physical Model
Authors: Chen Ting-Sheng , Chang Jen-Yuan (James) 
Published: September 2020

Abstract
The overwhelming manufacturing process with robotic arm has replaced human labors in handling and manufacturing work-pieces in factories. In these years, higher accuracy and repeatability are required for robotic manipulators to perform processes such as welding, deburring and grinding in factories. In these path-following processes, the manipulator’s end-effector often encounter position error caused by its vibrating structures. Therefore, the quality of machining accuracy and surface roughness becomes unstable and unsatisfied. For the purpose of avoiding the vibrations to occur in the robotic manipulator, this study aims to design a control method to reduce vibrations which is divided into two parts, namely (1) dynamic modeling the robot arm by applying modified mass-spring-damper model to each joints and links of the robot arm, and (2) realizing the control of the robot arm’s vibration resistance with predicated dynamics to compensate for the undesired dynamics, respectively. Through the proposed model, the response of each joints in different postures and different payloads applied at the end effector can be fully analyzed and the vibrations can be predicted and compensated. Results with the proposed vibration resistance control method indicate improvement of the model robot arm’s dynamic position error.
System Identification With Particle Swarm Optimization Method for Nonlinear Dynamic Systems
Authors: Fernández Manuel A. , Chang Jen-Yuan (James) 
Published: September 2020

Abstract
This paper presents a comparison between different system identification techniques, namely Least Squared Estimation, Total Least Squares, Linear Sequential Estimation, the Gauss-Newton method, and Particle Swarm Optimization. A DC motor model was simulated in Simulink, with arbitrarily selected parameters, and the input and output values were used to test the effectiveness of these system identification techniques.
An Investigation on Steering Sensor Fault Reconstruction of Autonomous Driving for Functional Safety Using Sliding Mode Observer
Authors: Oh Kwang-Seok , Yi Kyong-Su 
Published: September 2020

Abstract
This paper investigates on sensor fault reconstruction of sensors used for steering control of autonomous vehicle for functional safety. Sensor information such as steering angle and longitudinal velocity is generally needed for the design of steering feedback control system. If there exists unexpected fault signals in sensors, fatal accident can occur during autonomous driving because controller cannot compute the accurate control input. In this study, the sliding mode observer has been designed for fault reconstruction of steering angle and velocity sensors. In order to design the observer, the bicycle model that represents dynamic relationship between steering angle and velocities such as lateral velocity and yaw rate of vehicle has been used. The stability analysis has been conducted in accordance with velocity of the vehicle. The fault signals in sensors have been reconstructed using the injection term in sliding mode observer with the sliding mode gains designed for the stability. The performance evaluation has been conducted in Matlab/Simulink environment under the curved path tracking scenario.
State Estimation of a Robotic Vehicle With Six In-Wheel Drives Using Kalman Filter
Authors: Ali Hussein F. M. , Oh Se-Woong , Kim Youngshik 
Published: September 2020

Abstract
This paper describes an estimation algorithm for a robotic vehicle with articulated suspension (RVAS) to estimate the vehicle velocity and acceleration states, and the tire forces. The RVAS is an unmanned ground vehicle based on a skid steering using an independent in-wheel motor at each wheel. The estimation algorithm consists of five parts. In the first part, a wheel state estimator estimates the wheel rotational speed and its angular acceleration using Kalman filter, which is used to estimate the longitudinal tire force distribution in the second part. The third part is to estimate respective longitudinal, lateral, and vertical speeds of the vehicle and wheels. Based on these speeds, the slip ratio and slip angle are estimated in the fourth part. In the fifth part, the vertical tire force is then estimated. For a simulation test environment, the RVAS dynamic model is developed using Matlab and Simulink. The RVAS model consists of five main parts which include in-wheel motor model, wheel dynamic model, Fiala tire model, arm dynamic model, and the sprung mass dynamic model. The estimation algorithm is then validated using the vehicle test data and different test scenarios. It is found from simulation results that the proposed estimation algorithm can estimate the vehicle states, longitudinal tire forces, and vertical tire forces efficiently.
A Low Power Smart Security Surveillance System for Vehicles
Authors: Xiong Shaomin , Hirano Toshiki , Jones Neale 
Published: September 2020

Abstract
Vehicle break-ins have reached an epidemic level in recent years in some urban areas. This criminal activity which typically involves breaking vehicle windows and stealing personal properties inside the vehicle only takes a few seconds to complete. However, it can cause a significant property loss and identity theft. In this paper, a parking mode security surveillance system that deters and records the vehicle break-ins is proposed. This system takes advantage of state of the art of internet of things (IoT) and artificial intelligence (AI) technology, making it perform more proactively than traditional shock sensor-based or motion detection-based vehicle security alarm. A low-cost and low-power consumptive RISC-V system which contains basic video/audio signal neural network processing units can serve well in this application.