M. Pszeida, Amir Dini, M. Schneeberger, M. Lenger, L. Paletta, S. Russegger, S. Reidl, S. Beranek, B. ., Msc ., Sandra Schuessler, A. Haeussl, B. ., R. Hartmann, Martin Sighart, Sebastian Mayer, Patricia Papic, Beatrix Koch, Hermine Fürli
{"title":"Estimation of Change in Affective State Using Eye Tracking Features from Virtual Reality Technologies","authors":"M. Pszeida, Amir Dini, M. Schneeberger, M. Lenger, L. Paletta, S. Russegger, S. Reidl, S. Beranek, B. ., Msc ., Sandra Schuessler, A. Haeussl, B. ., R. Hartmann, Martin Sighart, Sebastian Mayer, Patricia Papic, Beatrix Koch, Hermine Fürli","doi":"10.54941/ahfe1001843","DOIUrl":"https://doi.org/10.54941/ahfe1001843","url":null,"abstract":"Affective states play a prominent role in the context of human activation and motivation. Immersive VR-based presence provides opportunities to activate elderly people in the context of preferred leisure activities (Häussl et al., 2021) or to apply mindfulness interventions for their cognitive reserve (Paletta et al., 2021). The appropriate design of positively activating content is pivotal for appropriate changes in users’ affective states. The presented study provided insight into the potential of non-invasive VR-based eye tracking for automated estimation of affective state induced by video content, in an explorative pilot study with seven elderly persons living in a nursing home. The results indicate the feasibility of estimating mood change from typical eye movement features, such as, fixation duration and pupil diameter, as a promising future research topic.","PeriodicalId":285612,"journal":{"name":"Cognitive Computing and Internet of Things","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130253127","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
J. Zuschnegg, Sandra Schuessler, L. Paletta, S. Russegger, M. Fellner, Karin Ploder, Bernhard Strobl, Maja Sekulic, M. Koini, Maria M Hofmarcher Holzhacker, Regina Roller Wirnsberger
{"title":"Usability Evaluation after a 6-month Tablet-based Dementia Training Program by People with Alzheimer’s Disease, Relatives, and Dementia Trainers","authors":"J. Zuschnegg, Sandra Schuessler, L. Paletta, S. Russegger, M. Fellner, Karin Ploder, Bernhard Strobl, Maja Sekulic, M. Koini, Maria M Hofmarcher Holzhacker, Regina Roller Wirnsberger","doi":"10.54941/ahfe1001844","DOIUrl":"https://doi.org/10.54941/ahfe1001844","url":null,"abstract":"Non-pharmacological interventions, like tablet-based cognitive trainings, already present an important alternative treatment of dementia. For tablet-based cognitive trainings to be effective, regular practice seems to be required, highlighting the need for such trainings to be applicable not only in well-prepared laboratory settings, but also for continuous use at home. In order to raise the acceptance as well as the user-friendliness of such trainings to consequently increase training intensity, usability research is essential. Therefore, the aim of this study was to explore the experiences of people with Alzheimer’s disease (PwAD), relatives, and dementia trainers regarding the usability of a tablet-based dementia training practiced in the home setting.A qualitative study was performed within the ongoing randomized controlled trial of the project multimodAAL. In total 15 individual interviews (each 5 per target group) were conducted with people with mild AD, their relatives and dementia trainers, who were already assigned to the intervention group for at least 6 months, practicing a dementia training program, including physical and cognitive exercises on a tablet-PC at home. The interviews lasted 91.9 minutes on average. A qualitative content analysis was performed to analyze the data.Participants were predominantly female (73.3 %). PwAD and relatives stated that they had no previous experience with this type of computer-based cognitive training and had experienced the training as positive and enriching. Some relatives saw the joint performance as a meaningful activity with their loved ones. Participants confirmed that the different types of physical exercises (e.g., coordination, strength), presented in a video format were well feasible for PwAD. In this regard, some PwAD reported feeling a bit unchallenged. Relatives and dementia trainers recommended for the exercise videos to be more motivating and fun (e.g., direct motivational address by the gymnast in the video like in a tv show, colorful sportswear). Regarding cognitive exercises, participants appreciated the variety (e.g., quiz, puzzle, calculating) as well as the sequence of the different exercises within a training session. Dementia trainers and relatives perceived that exercises related to topics about past/biography (e.g., previous occupation, hobbies) and to religious/seasonal traditions (e.g., Christmas) were particularly appreciated among PwAD. In view of beneficial factors to complete a training session with its physical and cognitive exercises successfully, relatives and dementia trainers underlined that PwAD needed support in terms of (technical) guidance, motivation/feedback/praise, as well as hints/tips/thought-provoking impulses. Dementia trainers and relatives suggested that this could be achieved by a supporting person (e.g., dementia trainer) or an expansion of the program by written and verbal support (e.g., hint button, voice assistant). Furthermore, participants empha","PeriodicalId":285612,"journal":{"name":"Cognitive Computing and Internet of Things","volume":"129 14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128110207","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Routing algorithm and diameter of hierarchical hyper-star network","authors":"H. Lee, BoOck Seong","doi":"10.54941/ahfe1003982","DOIUrl":"https://doi.org/10.54941/ahfe1003982","url":null,"abstract":"In this paper, we propose a new interconnection network topology, hierarchical hyper-star network HHS(Cn,Cn) is based on hyper-star network. Hierarchical networks based on hypercube have been previously proposed; it has been shown that these networks are superior to the basic networks, in terms of various performance including diameter, network cost, fault tolerance etc. Our results show that the proposed hierarchical hyper-star network performs very competitively in comparison to hyper-star network, HCN(n,n), and HFN(n,n) have been previously proposed. We also investigate a various topological properties of the hierarchical hyper-star network HHS(Cn,Cn) including routing algorithm, diameter, connectivity, broadcasting.","PeriodicalId":285612,"journal":{"name":"Cognitive Computing and Internet of Things","volume":"53 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133120969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
M. Schneeberger, L. Paletta, K. Wolfgang Kallus, Lilian Reim, Christian Schönauer, Andreas Peer, Richard Feischl, G. Aumayr, M. Pszeida, Amir Dini, Stefan Ladstätter, A. Weber, A. Almer, D. Wallner
{"title":"First Responder Situation Reporting in Virtual Reality Training with Evaluation of Cognitive-emotional Stress using Psychophysiological Measures","authors":"M. Schneeberger, L. Paletta, K. Wolfgang Kallus, Lilian Reim, Christian Schönauer, Andreas Peer, Richard Feischl, G. Aumayr, M. Pszeida, Amir Dini, Stefan Ladstätter, A. Weber, A. Almer, D. Wallner","doi":"10.54941/ahfe1001841","DOIUrl":"https://doi.org/10.54941/ahfe1001841","url":null,"abstract":"First responders engage in highly stressful situations at the emergency site that may induce stress, fear, panic and a collapse of clear thinking. Staying cognitively under control under these circumstances is a necessary condition to avoid useless risk-taking and particularly to provide accurate situation reports to remote units to be able to organize appropriate support in time. This work applied a flexible virtual reality (VR) training environment with the purpose to investigate the performance of reporting under rather realistically simulated mission conditions. In a pilot study, representative emergency forces of the Austrian volunteer fire brigade and paramedics of the Johanniter organization were subjected to a test program that tested a formalized reporting schema (LEDVV), inducing equivalent strain in both, real environment and VR-based training scenarios. Wearable psychophysiological measuring technology was applied to estimate the cognitive-emotional stress level under both training conditions. The results indicate that both situation reports achieve a rather high level of cognitive-emotional stress and should be thoroughly trained. Furthermore, the results motivate the use of VR environments for the training of stress-resilient decision-making behavior of emergency forces.","PeriodicalId":285612,"journal":{"name":"Cognitive Computing and Internet of Things","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132201555","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lilian Reim, K. Wolfgang Kallus, M. Pszeida, M. Schneeberger, Christian Schönauer, Andreas Peer, Richard Feischl, G. Aumayr, D. Wallner, Amir Dini, A. Weber, Stefan Ladstätter, A. Almer, L. Paletta
{"title":"Evaluation of Virtual Reality-based First Responder Training under Physiological and Cognitive-Emotional Strain","authors":"Lilian Reim, K. Wolfgang Kallus, M. Pszeida, M. Schneeberger, Christian Schönauer, Andreas Peer, Richard Feischl, G. Aumayr, D. Wallner, Amir Dini, A. Weber, Stefan Ladstätter, A. Almer, L. Paletta","doi":"10.54941/ahfe1001840","DOIUrl":"https://doi.org/10.54941/ahfe1001840","url":null,"abstract":"First responders are faced with various challenges and critical situations during their operations. Virtual Reality (VR) training environments offer a great opportunity to create realistic operational scenarios with appropriate levels of difficulty. To evaluate VR-based training regarding cognitive-emotional and physical strain, a pilot study with 13 first responders (firefighters and paramedics) was conducted. The study plan aimed to induce equivalent strain in both, real environment (‘RC’) and VR-based (‘VR’), training scenarios. In summary, the results indicate that training sessions in real and in VR-based environments have a comparable impact on physical strain, on different dimensions of workload like physical and cognitive demand, and specific physical and emotional states. Most important, we could show that physical strain, which is a critical factor for appropriate training of first responders, cannot only be induced by traditional real-life training, but also by an immersive VR training environment. These results confirm and motivate the use of VR environments for the training of stress-resilient decision-making behaviour for emergency forces.","PeriodicalId":285612,"journal":{"name":"Cognitive Computing and Internet of Things","volume":"150 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114066663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Jose A Rodríguez-Marroyo, Belén Carballo Leyenda, Pilar Sánchez Collado, David Suárez Iglesias, José G Villa
{"title":"Effect of Exercise Intensity and Thermal Strain on Wildland Firefighters' Central Nervous System Fatigue","authors":"Jose A Rodríguez-Marroyo, Belén Carballo Leyenda, Pilar Sánchez Collado, David Suárez Iglesias, José G Villa","doi":"10.54941/ahfe1001839","DOIUrl":"https://doi.org/10.54941/ahfe1001839","url":null,"abstract":"The arduous conditions (i.e., harsh environmental conditions, high physical and mental demands) in which wildland firefighters (WFFs) have to perform their work during wildfire suppression can lead to states of both physical and mental fatigue. Although several studies have delved into the first type of fatigue, there is a paucity of research on the decrease in WFFs’ cognitive performance. A decreased cognitive performance has been observed throughout multi-day suppression tasks, which could lead to poor decision-making and have unintended consequences on deployments. To our knowledge, the acute effect of tasks performed by WFFs on cognitive fatigue has not been studied. Therefore, the aim of this study was to analyze the effect of performing a specific circuit, which simulated the tasks performed by WFFs in their deployments, on central nervous system fatigue. Ten WFFs (34.4 ± 5.6 yr, 182.9 ± 6.1 cm and 92.8 ± 14.9 kg) participated in the study, who performed a field test composed of 4 specific tasks commonly used in their deployments. Each task was executed for 5 min interspersed by 90 s of recovery. This interval bout was repeated twice with 10 min of recovery in between. During the test heart rate (HR) and core temperature (CT) response were monitored. Both variables were used to calculate the physiological strain index (PSI). In addition, before and at the end of the field test, subjects’ critical flicker fusion (CFF) threshold was measured. The results obtained showed that the WFFs performed a high-exercise demand (mean HR, 85.3 ± 2.5% of maximal HR; CT, 38.3 ± 0.4 ºC and PSI, 6.0 ± 0.7). Despite this, CFF threshold measurements showed an increase (6.0 ± 6.0%, p < 0.05) in the sensory sensitivity threshold, suggesting an exercise induced increase in cortical arousal. Significant (p < 0.05) relationships between sensory sensitivity and time spent at high percentage of maximal HR (>90%), TC and PSI were found (r = -0.71, -0.74 and -0.69, respectively). In conclusion, the specific field test led an enhancement of sensory sensitivity and cortical arousal. However, the correlations found seem to indicate the potential negative effect of high-intensity exercise and thermal strain on central nervous system fatigue.\u0000","PeriodicalId":285612,"journal":{"name":"Cognitive Computing and Internet of Things","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126155052","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Paletta, Sandra Schuessler, Eva Z. Reininghaus, M. Macher, M. Fellner, S. Russegger, M. Lenger, M. Pszeida, T. Orgel, S. Draxler, A. Haeussl, N. Dalkner, Stephan Spat, G. Pötz, Regina Roller Wirnsberger, J. Zuschnegg
{"title":"Towards Gender-sensitive Motivation of Patients with Depression for Cognitive Training with a Socially Assistive Robot","authors":"L. Paletta, Sandra Schuessler, Eva Z. Reininghaus, M. Macher, M. Fellner, S. Russegger, M. Lenger, M. Pszeida, T. Orgel, S. Draxler, A. Haeussl, N. Dalkner, Stephan Spat, G. Pötz, Regina Roller Wirnsberger, J. Zuschnegg","doi":"10.54941/ahfe1003969","DOIUrl":"https://doi.org/10.54941/ahfe1003969","url":null,"abstract":"Approximately 280 million people in the world suffer from depression, which often leads to cognitive deficits. This paper describes fundamental aspects of the work plan of the Austrian project AMIGA that aims at developing and evaluating a gender-sensitive and customizable Social Assisting Robotic Technology (SAR) including a cognitive training. We intend with the AMIGA-type SAR to significantly increase motivation for cognitive training during the hospital stay, which is hypothesised to improve cognitive functioning. In the first step of the project plan, the requirements of the target group would be estimated using qualitative and quantitative methods (e.g., survey, interviews). Based on the results of the requirement study we plan to develop the interactive SAR prototype that would use human-robot interactions to motivate users to perform cognitive training. We consider to apply adaptive pause management with sensor-based detection of mental fatigue. Target group-specific as well as gender-sensitive content for holistic stimulation with visual, auditory, and interactive elements will be included. The work plan foresees to conduct a field study including persons with symptoms of depression and to evaluate the results in terms of the effects on the persons´ motivation through the application of the AMIGA robotic system platform.","PeriodicalId":285612,"journal":{"name":"Cognitive Computing and Internet of Things","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115995031","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Herwig Zeiner, Roland Unterberger, Dietmar Maurer, S. Russegger, L. Paletta
{"title":"Office-Based Workplace Monitoring and Time-Aware Feedback by using Ambient IoT Sensors","authors":"Herwig Zeiner, Roland Unterberger, Dietmar Maurer, S. Russegger, L. Paletta","doi":"10.54941/ahfe1001834","DOIUrl":"https://doi.org/10.54941/ahfe1001834","url":null,"abstract":"During the COVID pandemic, our understanding of a workplace (e.g. office building, home office, other offices) has changed. For example, we are constantly changing our workspace in office jobs. It is a post-COVID phenomenon that we change our work environment more frequently and more often during a week. In this paper, we investigate what sensors and software tools we need to determine that we are working in ideal conditions, including good air quality, low CO2, etc. From an employee’s point of view, it is interesting if such monitoring devices can be easily used and combined. The evaluation should be possible and combinable by simple means. Why is this difficult? Considering that there is no common agreement among researchers on the definition of workplaces and new hybrid workplaces (i.e. office in company building, home office, and third office places) make the challenges even more complex. In this context, quantitative data from novel low-cost biosensors, such as for measuring carbon dioxide concentration distribution, highlighting the presence and attention of employees and their change in behavior within a working environment, are discussed, and the paper also provides an outlook towards novel research pathways for using a connected network of IoT devices and ambient biosensor technologies.","PeriodicalId":285612,"journal":{"name":"Cognitive Computing and Internet of Things","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116480129","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Umer Asgher, Sara Ali, T. Ali, Y. Ayaz, S. Scataglini, Salman Nazir, Usama Rashed, E. Abdi, Fahad Iqbal Khawaja, R. Taiar, José Arzola-Ruiz
{"title":"Socio-Cultural Factors of Industrial Workers in Low-Middle Income Countries (LMIC): Pilot Study","authors":"Umer Asgher, Sara Ali, T. Ali, Y. Ayaz, S. Scataglini, Salman Nazir, Usama Rashed, E. Abdi, Fahad Iqbal Khawaja, R. Taiar, José Arzola-Ruiz","doi":"10.54941/ahfe1003296","DOIUrl":"https://doi.org/10.54941/ahfe1003296","url":null,"abstract":"The role of industrial workers is a significant element of any society and a vital stakeholder in an industrial setup. Their roles and existence in an organization affect the organizational culture, working environment, and quality of Life (QoL). In the same way, modern organizational culture and its environment affect the employee's psychology and behavior and bring new challenges daily. This paper is a pilot study that aims to review, confer, and analyze the organizational, social, and cultural challenges faced by industrial workers of Low-Middle Income Countries (LMIC) and how these factors affect psychology, personal, and professional Quality of Life (QoL). To ensure a better Quality of Life (QOL) among individuals, each industry should address these factors systematically to plan work-related issues that affect the industrial worker properly. In the first phase, a dedicated 25-item questionnaire on a Likert scale was used for investigating four socio-cultural factors (the individual, the relationship with their family, and social and organizational factors) among 50 industrial workers (data modelling and hypothesized data) with some assumptions. Sequentially, in the second phase, the study statistically analyzes how these factors influence their behavior and psychology. Results show that family, social, individual, and organizational factors are correlated with Cronbach's alpha of 0.916.","PeriodicalId":285612,"journal":{"name":"Cognitive Computing and Internet of Things","volume":"25 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115089579","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
L. Paletta, S. Russegger, D. Albert, Eva Z. Reininghaus, M. Lenger, M. Fellner, T. Lutz, M. Pszeida, S. Draxler, T. Orgel, M. Schneeberger, Suher Guggemos, J. Mosbacher, Stephan Spat, G. Pötz
{"title":"AI-enabled Playful Enhancement of Resilience and Self-Efficacy with Psychological Learning Theory","authors":"L. Paletta, S. Russegger, D. Albert, Eva Z. Reininghaus, M. Lenger, M. Fellner, T. Lutz, M. Pszeida, S. Draxler, T. Orgel, M. Schneeberger, Suher Guggemos, J. Mosbacher, Stephan Spat, G. Pötz","doi":"10.54941/ahfe1003973","DOIUrl":"https://doi.org/10.54941/ahfe1003973","url":null,"abstract":"The outbreak of COVID-19 has caused a global public health emergency with multifaceted severe consequences for people’s lives and their mental health. Distress and anxiety are normal responses to such extreme circumstances. The Austrian research project AI-Refit aims at a radically innovative app prototype representing a digital care centre (i) to reinforce resilience by engaging into activities to prevent from depressive symptoms, severe anxiety and stress levels, (ii) to apply playful AI- and sensor-enabled assessment of mental health, (iii) to capture daily lifestyle data for a comprehensive contextual assessment from non-obtrusive wearables, and (iv) to adaptively promote self-efficacy of the individual, based on scientific psychological learning theory.","PeriodicalId":285612,"journal":{"name":"Cognitive Computing and Internet of Things","volume":"289 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123456822","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}