Miracle-dz/UniFAR-FTUs huggingface dataset:
The battle of superheroes: the rise of the knowledge platform strategy in the movie industry

Purpose Over the past years – because of the huge impact of companies such as Airbnb and Uber – the concept of the platform became extremely popular in the business world. Still, the concept of the platform has been evolving for a long time in the management field, from internal platforms (like the famous case of Sony Walkman) to industry-wide platforms (like the case of computers with external software developers), up to transaction and two or multi-sided platforms (such as Airbnb and all the companies with a similar business model). Platforms are often considered disruptors in several industries, from accommodations to mobility to entertainment. Still, the disruptors in the creative world usually deal with the way in which they distribute content (Netflix or Spotify), rather than with the content itself. The purpose of this paper is to understand if and how platforms trategies can also be used in the creative industries. Design/methodology/approach This paper digs into the movie industry, studying the three most successful Superheroes sagas of the past two decades as follows: the Marvel Cinematic Universe (MCU), DC Comics and X-Men using a narrative approach. The three sagas are studied through network analysis to understand their “platform approach”. Findings The results show how platform strategies are relevant also in creative industries – defining the concept of “knowledge platform strategy” – and how they have a significant impact in terms of market performance. The MCU builds on a common knowledge through the various movies that enable the chance to rely on many of the platforms’ characteristics emerging from the literature. Research limitations/implications This research extends the concept of “platforms,” relying on the three kinds of platform defined in the managerial literature and introducing the “knowledge platform strategy” for creative industries. The main contribution is related to the extension of platforms in research fields where it has not been exploited. This opens up avenues for research both from a knowledge platform and creative industries perspectives. Practical implications Managers, working not only in creative industries but also in industries where a common knowledge basis may be leveraged to develop new products over time, may use the concept of “knowledge platform strategy” to rethink the new development process or knowledge management from a customer perspective. Originality/value This study explores a mature and relevant concept – the platforms – in a new filed, the creative industries using the case of Superheroes sagas, proposing a new perspective to explain the success of MCU while proposing a new platform strategy.
Seed mass, germination and seedling traits for some central Argentinian cacti

Abstract Seed size is one of the most important traits in the regenerative phase of a plant's life cycle; however, for cactus species the relationship of seed size and germination characteristics and seedling traits is still unclear. We studied the relationship between seed mass and germination and seedling characteristics in 17 cactus species from central Argentina, belonging to different genera and life forms. We measured seed mass, total seed germination, light requirements for germination and mean time to germination for these 17 cacti species; in addition, we recorded seedling size and shape in 15 species. To test light requirements we performed germination experiments under laboratory conditions at 25/15°C (day/night temperatures) and under light or dark conditions. We also calculated seedling volume by measuring seedling height and width. A shape index was obtained by dividing height by width (a value of 1 indicates ‘globose’ seedlings, whereas, as this value increases, seedlings become ‘columnar’). We found no significant relationship between seed mass and any of the germination characteristics considered. However, species with heavier seeds produced bigger seedlings, which were more cylindrical. Adult growth was not totally determined by seedling ‘growth form’, because some species that had globose seedlings were columnar at the adult stage.
Iatrogenic Pleural Effusion Due to Extravasation of Parenteral Nutrition via an Epicutaneo Cava Catheter in Neonates: A Prospective Cohort Study

Background: Although Epicutaneo cava catheters (ECCs) are being routinely used for intravenous access for long-term parenteral nutrition and prolonged medication administration in neonates, ECC use can be associated with rare but acute life-threatening events such as pleural effusion (PE). It is important to identify and maintain the ECC tip in a central location for preventing complications. Recently, intracavitary electrocardiogram (IC-ECG) has been developed for the real-time monitoring and verification of ECC tip position. Objective: To investigate the causes and preventive measures of ECC-related PE in neonates. Methods: This prospective cohort study was conducted between January 2013 and December 2017. We observed and analyzed the clinical characteristics and causes of ECC-related PE. From January to December 2017, all ECCs were guided by IC-ECG. The incidence of ECC-related PE and first-attempt success rates were analyzed before and after the introduction of IC-ECG. Additionally, the sensitivity and specificity of IC-ECG were evaluated. Results: ECC-related PE was identified in 14 infants. Catheters were malpositioned in three cases; in the other 11 cases, catheters were located centrally on insertion but had migrated to non-central locations at the time of PE. After the introduction of IC-ECG, the incidence of PE was zero (P < 0.05). The incidence of ECC-related PE was lower when veins of the lower extremities were selected as the insertion site (P < 0.05). The first-attempt success rate was significantly higher in the group with IC-ECG-guided ECC placement than in the group without (P < 0.05). The sensitivity and specificity of IC-ECG were 97.9 and 84.6%, respectively. Conclusion: ECC-related PE can be associated with either primary malposition or migration of the catheter tip. IC-ECG can help detect malposition and migration of catheter tips and improve the first-attempt success rate. Choosing a lower extremity insertion site may help decrease the rate of ECC-related PE. In neonates, IC-ECG is a reliable positioning method for ECCs with superior sensitivity and specificity.
Conservation status of Vietnamese primates

Summary In Vietnam 6 primate genera and 24 primate taxa are recognized. Six taxa are endemic to the country: Con Dao long-tailed macaque (Macaca fascicularis condorensis), Delacour’s langur (Trachypithecus delacouri), Cat Ba langur (T. poliocephalus poliocephalus), grey-shanked douc langur (Pygathrix cinerea), Tonkin snub-nosed monkey (Rhinopithecus avunculus) and eastern black gibbon (Nomascus nasutus). The IUCN Red List classified 6 taxa as “Critically Endangered”, 9 taxa as “Endangered”, 6 taxa as “Vulnerable”, 1 taxon as “Near Threatened” and only 2 taxa as “Least Concern”. Five endemic species to Vietnam are listed as “Critically Endangered” and face a very high risk of extinction. All primates are protected under the wildlife protection law, but the main threat for the primates is poaching, mostly for the use in traditional medicine but also for food and for the pet trade. Habitat destruction through fuel-wood collection, logging, agriculture encroachment, and often in connection with poaching, has also an increasing impact to the population decrease. Most, if not all populations are already highly fragmented. Despite an increasing knowledge during the last years about the systematic classification, distribution, threats and also about biology and ecology of the primates in Vietnam more detailed studies are necessary to improve the protection and to save the survival of several species.
Trauma, Aggression, and Post Conflict Perpetration of Community Violence in Female Former Child Soldiers—A Study in Eastern DR Congo

Objective Former combatants are exposed to multiple traumatic stressors during conflict situations and usually participate in perpetration of violence. Ongoing perpetration of violence in post conflict areas, linked to mental health problems and appetitive aggression, destabilises peace keeping efforts. The aim of this study is to investigate lifetime exposure to violence and the relationship between this exposure and mental health and current violent behaviour in a sample of female former child soldiers with a history of perpetration of violence in Eastern DR Congo. Methods 98 female former child soldiers who had been abducted and forcibly recruited during the M23 insurgency (2012–2014) were assessed for lifetime exposure to trauma including perpetration of violence, clinical outcomes (PTSD and appetitive aggression), and current violent behaviour. Results Female former child soldiers had been exposed to extremely high levels of trauma including perpetration of violence and presented with high levels of mental health problems. Linear regression models showed that current violent behaviour was predicted by both PTSD and appetitive aggression. Conclusions Trauma exposure predicts ongoing perpetration of violence post conflict via the resulting mental health problems. The findings imply that if PTSD and appetitive aggression symptoms are successfully treated, ongoing violent behaviour in the community post conflict will also decrease.
Omnidirectional Mobile Robot Dynamic Model Identification by NARX Neural Network and Stability Analysis Using the APLF Method

In this paper, the NARX neural network system is used to identify the complex dynamics model of omnidirectional mobile robot while rotating with moving, and analyze its stability. When the mobile robot model rotates and moves at the same time, the dynamic model of the mobile robot is complex and there is motion coupling. The change of the model in different states is a kind of symmetry. In order to solve the problem that there is a big difference between the mechanism modeling motion simulation and the actual data, the dynamic model identification of mobile robot in special state based on NARX neural network is proposed, and the stability analysis method is given. To verify that the dynamic model of NARX identification is consistent with that of the mobile robot, the Activation Path-Dependent Lyapunov Function (APLF) algorithm is used to distinguish the NARX neural network model expressed by LDI. However, the APLF method needs to calculate a large number of LMIs in practice and takes a lot of time, and, to solve this problem, an optimized APLF method is proposed. The experimental results verify the effectiveness of the theoretical method.
Studies on Antitumor Activity,Mutagenicity Action by Corilagin

Objective To study the antitumor activity and mutagenicity test of Corilagin in vitro and in vivo.Methods The genotoxicity tests were used to investigate the possible harmful effects on genetic material (DNA). Three tests were porformed,they were:1)A test for gene mutation in sulmonella typhimurium (Ames test);2)An in vitro test for chromosomal aberration in Chinese hamster lung cells (CHL);3)An in vivo test for chromosomal damage using mice bone marrow micronucleus assay.Results The dose at 312 5-5 000 μg/plate in vitro by Ames test (with and without activation) were negative,and 14-220 μg/mL for 6-48 h in vitro,respectively,the maximum aberration rate on CHL was 4%. The micronuclei rate of bone marrow micronucleus assay (112-11 2 mg/kg,ip×1) was 3 0‰. The test results of antitumor effect showed corilagin had obvious activities on A2780,KB,OS 732,A549 and HCT 8,the IC 50 value were 0 25,1 2,7 42,8 25 and 9 08 μg/mL,one by one.Conclusions Corilagin is safe and no evidence of mutagenic action,and corilagin has strong antitumor activities on human tumor cell lines such as A2780,KB,OS 732, A549 and HCT 8 in vitro. China J Cancer Prev Treat,2003,10(5):469-472
Particle Velocity Assisted Three Dimensional Sound Field Reproduction Using a Modal-Domain Approach

In literature, particle velocity has been introduced to improve performance of spatial sound field reproduction systems. However, all existing work requires to have accurate particle velocity measurements at all of the discrete control points, which is difficult to obtain in real-world applications. In this work, we formulate continuous particle velocity expressions over space as a function of pressure coefficients in the modal domain that can be easily extracted by using a higher order microphone. The sound field within a target region is controlled by a weighted cost function we built to optimize the continuous particle velocity, as well as sound pressure, on the boundary of the region. In contrast to the conventional spatial sound field reproduction methods in the modal domain, the proposed method allows for non-uniform loudspeaker geometry with a limited number of loudspeakers, thus providing a flexible array arrangement. The performance of the proposed method is evaluated through numerical simulations in both a free field and a reverberant room. Finally, we prove the proposed method in an objective experiment with real-world measurements of room impulse response.
A Novel Information Theoretical Criterion for Climate Network Construction

This paper presents a novel methodology for Climate Network (CN) construction based on the Kullback-Leibler divergence (KLD) among Membership Probability (MP) distributions, obtained from the Second Order Data-Coupled Clustering (SODCC) algorithm. The proposed method is able to obtain CNs with emergent behaviour adapted to the variables being analyzed, and with a low number of spurious or missing links. We evaluate the proposed method in a problem of CN construction to assess differences in wind speed prediction at different wind farms in Spain. The considered problem presents strong local and mesoscale relationships, but low synoptic scale relationships, which have a direct influence in the CN obtained. We carry out a comparison of the proposed approach with a classical correlation-based CN construction method. We show that the proposed approach based on the SODCC algorithm and the KLD constructs CNs with an emergent behaviour according to underlying wind speed prediction data physics, unlike the correlation-based method that produces spurious and missing links. Furthermore, it is shown that the climate network construction method facilitates the evaluation of symmetry properties in the resulting complex networks.
Functional Integration Between the Two Brain Hemispheres: Evidence From the Homotopic Functional Connectivity Under Resting State

Functional integration among neural units is one of the fundamental principles in brain organization that could be examined using resting-state functional connectivity (rs-FC). Interhemispheric functional integration plays a critical role in human cognition. Homotopic functional connectivity (HoFC) under resting state provide an avenue to investigate functional integration between the two brain hemispheres, which can improve the present understanding of how interhemispheric interactions affect cognitive processing. In this review, we summarize the progress of HoFC studies under resting state and highlight how these findings have enhanced our understanding of interhemispheric functional organization of the human brain. Future studies are encouraged to address particular methodological issues and to further ascertain behavioral correlates, brain disease’s modulation, task influence, and genetic basis of HoFC.
Heat Stress-induced Protein Glycosylation in Mammalian Cells

ストレスに対する細胞の応答は遺伝子発現制御のモデルであり、変化する環境に細胞が応答するために遺伝的に保存された機構のよい例である。 細胞のストレスに対する応答には、糖鎖生物学的な因子がかなり関係している。 こうした因子め性質はよく調べられてはいないが、“古典的な”熱ショックタンパク質 (HSPs) が機能するために必要であり、HSPsの機能を補うはたらきがある。 この総説は、哺乳動物のストレス応答における糖鎖生物学的成分に焦点をあて、現在までに同定されているいくつかの主要な熱ストレス誘導糖タンパク質についてのべる。 たとえば、GP50とGP62では遺伝子発現及びグリコシル化が熱許容性の誘導に伴って起こるが、P-SG67とP-SG64の場合には“敏速な”(すなわち、熱ストレス開始の数分内) グリコシル化が起こる。 CHO細胞のGP50は、サーピンファミリーに属するレチノール酸で誘導されるマウスのJ6遺伝子産物とホモロジーがあるが、P-SG67とP-SG64は多くの機能を合わせ持つERタンパク質であるカルレチクリンのグリコシル化された変型である。 この総説では、ストレス糖タンパク質のあり得る機能とそのHSPsとの関係について議論する。 ストレス糖タンパク質に対する分子プローブを用いることにより、ストレス糖タンパク質の機能を理解する研究と、それらの糖タンパク質を生物工学に利用することが容易になるはずである。
Simultaneously Spatiospectral Pattern Learning and Contaminated Trial Pruning for Electroencephalography-Based Brain Computer Interface

Electroencephalography (EEG)-based brain computer interfaces (BCIs) translate motor imagery commands into the movements of an external device (e.g., a robotic arm). The automatic design of spectral and spatial filters is a challenging task, as the frequency bands of the spectral filters must be predefined by previously published studies and given that they may be affected during trials by artifacts and improper motor imagery (MI). This study aimed to eliminate the contaminated trials automatically during classifier training, and to simultaneously learn the spectral and spatial patterns without the need for predefined frequency bands. Compared with previous studies that measured the discriminative power of a frequency band based on mutual information, this study determined the difference of the class conditional probability density function between two MI classes. This information was further shared to measure the contamination level of the trial that simplified the computation. A particle-based approximation technique iteratively constructed a filter bank that extracted discriminative features, and simultaneously removed potentially contaminated trials. The particle weight was estimated by an analysis of variance F-test instead of mutual information as commonly used in previous studies. The experimental results of a publicly available dataset revealed that the proposed method outperformed the other BCI in terms of the classification accuracy. Asymmetrical spatial patterns were found on left- versus right-hand MI classifications. The learnt spectral and spatial patterns were consistent with prior neurophysiological knowledge.
Demystifying the differences in the impact of training and incentives on employee performance: mediating roles of trust and knowledge sharing

This paper aims to investigate the differences in the mediating roles of trust and knowledge sharing (formal vs informal) in the process by which training and incentives influence organizational performance (sales increase and labor productivity). ,The data from an online survey of Senior Managers from 119 firms in Hong Kong’s clothing industry (HKCI) was analyzed using SmartPLS software. ,Trust has a stronger mediating impact in the effects of incentives (vs training) on both formal and informal knowledge sharing. Informal (vs formal) knowledge sharing has a stronger mediating impact in the effects of trust on sales increase and labor productivity. ,Future research may consider different dimensions such as knowledge donating and collecting behaviors, as well as motives, such as self-enjoyment, reciprocity or social interaction ties to study knowledge sharing behavior. ,This study shows that incentives are more likely than training to help build a trusting environment in an organization and that informal knowledge sharing has a stronger influence on organizational performance than formal knowledge sharing. ,The study’s distinctive contribution is the under-researched context of HKCI for investigating the mediating effects of trust and formal and informal knowledge sharing between ability and motivational practices on performance.
Indoor air quality prediction systems for smart environments: A systematic review

Air quality is a critical matter of concern in terms of the impact on public health and well-being. Although the consequences of poor air quality are more severe in developing countries, they also have a critical impact in developed countries. Healthcare costs due to air pollution reach $150 billion in the USA, whereas particulate matter causes 412,000 premature deaths in Europe, every year. According to the Environmental Protection Agency (EPA), indoor air pollutant levels can be up to 100 times higher in comparison to outdoor air quality. Indoor air quality (IAQ) is in the top five environmental risks to global health and well-being. The research community explored the scope of artificial intelligence (AI) in the past years to deal with this problem. The IAQ prediction systems contribute to smart environments where advanced sensing technologies can create healthy living conditions for building occupants. This paper reviews the applications and potential of AI for the prediction of IAQ to enhance building environment and public health. The results show that most of the studies analyzed incorporate neural networksbased models and the preferred evaluation metrics are RMSE, R2 score and error rate. Furthermore, 66.6% of the studies include CO2 sensors for IAQ assessment. Temperature and humidity parameters are also included in 90.47% and 85.71% of the proposed methods, respectively. This study also presents some limitations of the current research activities associated with the evaluation of the impact of different pollutants based on different geographical conditions and living environments. Moreover, the use of reliable and calibrated sensor networks for real-time data collection is also a significant challenge.
Designing Cost-Effective Telemedicine Camps for Underprivileged Individuals in Less Developed Countries: A Decomposed Affordance-Effectivity Framework

Free telemedicine camps (telecamps) are emergent joint initiatives of healthcare organizations, national and local governments, and not-for-profit nongovernmental organizations (NGOs) with the goal of alleviating the health divide for underprivileged individuals in rural areas of less developed countries. Our study seeks to understand the effectiveness of physician-patient communication at telecamps with several salient characteristics: rural underprivileged patients, physicians in remote cities, and frugal telemedicine technology—specifically, videoconferencing—deployed in Hospitals on Wheels and appropriated by operators. We adopt a multiple-actor perspective, propose a decomposed affordance-effectivity framework, and combine variance and process perspectives to examine the phenomenon of interest. We collaborated with Apollo Hospitals, a leading hospital system in India, and collected multisource data from two major telecamps in rural South India. Based on an analysis of survey data from 216 telecamp participants through a variance perspective, we found support for the fit of patient-perceived media richness with two contingency factors—(1) disease diagnostic complexity and (2) patient healthcare needs fulfillment—in influencing patient satisfaction with teleconsultation. Based on an analysis of 46 sessions of teleconsultation video archives through a process perspective, we found that technology appropriation is realized through verbal and nonverbal communication events between patients and physicians, with on-site operators playing multiple roles that serve as “compensatory user effectivity. ” Our findings yield theoretical and practical implications for how effective telemedicine encounters using frugal technologies can be designed in combination with other cost-effective support personnel resources to broaden healthcare access for underprivileged individuals in less developed countries and, more broadly, to actualize technology affordances in use situations involving multiple actors.