bluuebunny/crossref_metadata_2025_split huggingface dataset:
Adoption of AI-based chatbots for hospitality and tourism
Authors: Pillai Rajasshrie , Sivathanu Brijesh 
Published: September 2020

PurposeThis study aims to investigate the customers’ behavioral intention and actual usage (AUE) of artificial intelligence (AI)-powered chatbots for hospitality and tourism in India by extending the technology adoption model (TAM) with context-specific variables.Design/methodology/approachTo understand the customers’ behavioral intention and AUE of AI-powered chatbots for tourism, the mixed-method design was used whereby qualitative and quantitative techniques were combined. A total of 36 senior managers and executives from the travel agencies were interviewed and the analysis of interview data was done using NVivo 8.0 software. A total of 1,480 customers were surveyed and the partial least squares structural equation modeling technique was used for data analysis.FindingsAs per the results, the predictors of chatbot adoption intention (AIN) are perceived ease of use, perceived usefulness, perceived trust (PTR), perceived intelligence (PNT) and anthropomorphism (ANM). Technological anxiety (TXN) does not influence the chatbot AIN. Stickiness to traditional human travel agents negatively moderates the relation of AIN and AUE of chatbots in tourism and provides deeper insights into manager’s commitment to providing travel planning services using AI-based chatbots.Practical implicationsThis research presents unique practical insights to the practitioners, managers and executives in the tourism industry, system designers and developers of AI-based chatbot technologies to understand the antecedents of chatbot adoption by travelers. TXN is a vital concern for the customers; so, designers and developers should ensure that chatbots are easily accessible, have a user-friendly interface, be more human-like and communicate in various native languages with the customers.Originality/valueThis study contributes theoretically by extending the TAM to provide better explanatory power with human–robot interaction context-specific constructs – PTR, PNT, ANM and TXN – to examine the customers’ chatbot AIN. This is the first step in the direction to empirically test and validate a theoretical model for chatbots’ adoption and usage, which is a disruptive technology in the hospitality and tourism sector in an emerging economy such as India.
The interrelationship between intellectual capital and firm performance: evidence from China's manufacturing sector
Authors: Xu Jian , Li Jingsuo 
Published: September 2020

PurposeThe purpose of this paper is to examine the impact of intellectual capital (IC) and its components (human, structural and relational capitals) on the performance of manufacturing listed companies in China. This paper also investigates the impacts of company ownership, industry attributes and region on the IC-performance relationship.Design/methodology/approachThe study uses the data of 953 manufacturing companies listed on the Shanghai and Shenzhen Stock Exchanges over the period 2012–2016. The modified value-added intellectual coefficient (MVAIC) model is applied to measure IC efficiency. Finally, multiple regression analysis is employed to test the research hypotheses.FindingsThis study reveals that IC can enhance firm performance in China's manufacturing sector. Overall, earnings are affected by physical capital, human capital (HC) and structural capital (SC), and profitability and productivity are influenced by physical capital, HC, SC and relational capital. Physical capital is the most influential contributor to firm performance. In addition, state-owned enterprises have a greater impact of IC on firm performance than private-owned enterprises; high-tech manufacturing companies have higher IC performance than non-high-tech manufacturing companies; manufacturing companies in China's eastern region have higher IC performance than the counterparts in central and western regions.Practical implicationsThe findings may help managers, stakeholders and policymakers in developing countries to effectively and efficiently manage their IC resources.Originality/valueThis is the first study to evaluate IC and its relationship with firm performance among Chinese manufacturing listed companies using the MVAIC model.
Knowledge management behaviors in venture capital crossroads: a comparison between IVC and CVC ambidexterity
Authors: Rossi Matteo , Festa Giuseppe , Papa Armando , Kolte Ashutosh , Piccolo Rossana 
Published: September 2020

PurposeInstitutional venture capitalists (IVCs) and corporate venture capitalists (CVCs) deploy analogous activities but adopt different approaches to financing innovation and value creation for venture-backed firms. Thus, this paper aims to investigate their potential ambidexterity as a result of knowledge management (KM) strategies and processes.Design/methodology/approachAfter a focused literature review showing evidence of KM behaviors as a source of potential ambidexterity for IVCs and CVCs, descriptive, inferential and discriminant analyses on the 15 most active IVCs and CVCs in the world in 2019 are presented. Correlations between numbers of deals, prevailing entrepreneurial intensity and potential ambidexterity are investigated.FindingsSpecific differences are analyzed from a KM perspective, revealing that the number/percentage of operations per round can result as a misleading criterion of knowledge accumulation. Finally, a theoretical model for ambidexterity for venture capitalists is developed.Originality/valueThe study shows that IVCs act with greater investment capacity because of their organizational structure and purpose and focus on financial goals; moreover, they are ambidextrous, although their exploration may more frequently entail exploitation than “real” exploration. CVCs tend to invest in sectors related to their core business, coherent with their strategic purpose and more oriented with KM strategies for accumulating intellectual capital.
The influence of corporate social responsibility activities on customer value co-creation: the mediating role of relationship marketing orientation
Authors: Mubushar Muhammad , Jaafar Norizan Bt , Rahim Rossazana Ab 
Published: September 2020

PurposeThis paper aims to investigate the impact of external stakeholders-related corporate social responsibility (CSR) activities (local community and suppliers) on customer value co-creation behavior. This study also aims to examine the mediating role of relationship marketing orientation (RMO) on the relationship of CSR activities and customer value co-creation behavior.Design/methodology/approachThe main problem of dichotomy between customers and the management was existing in banking sector so that’s why through purposive sampling, banking customers were selected for data collection through a self-administered questionnaire. Structural equation modeling was used to test the proposed hypotheses.FindingsThe present study found that both local community-related and supplier-related CSR activities have a positive impact on customer value co-creation behavior. Relationship marketing orientation mediates between the link of CSR activities and customer value co-creation behavior. The strength of RMO in CSR supplier and customer value co-creation behavior is found to be more dominant.Research limitations/implicationsThis study is restricted to one country under-investigation; therefore, it can be replicated with a larger and more geographically diverse sample.Practical implicationsThis study offers insights to the banking sector that local community-related CSR activities contribute to the value co-creation behavior and minimize the social problems of Pakistan.Originality/valueThe findings of this study highlight that top management of banks can enhance the customer’s participation in services by using valuable CSR activities. The results imply the importance of interactions between the recipient of services and service providers. Stakeholder theory has previously been applied to examine stakeholders’ value maximization; this study uses stakeholder theory to examine shareholders’ value co-creation.
How many bird and mammal extinctions has recent conservation action prevented?
Authors: Bolam Friederike C. , Mair Louise , Angelico Marco , Brooks Thomas M. , Burgman Mark , Hermes Claudia , Hoffmann Michael , Martin Rob W. , McGowan Philip J.K. , Rodrigues Ana S.L. , Rondinini Carlo , Westrip James R.S. , Wheatley Hannah , Bedolla‐Guzmán Yuliana , Calzada Javier , Child Matthew F. , Cranswick Peter A. , Dickman Christopher R. , Fessl Birgit , Fisher Diana O. , Garnett Stephen T. , Groombridge Jim J. , Johnson Christopher N. , Kennerley Rosalind J. , King Sarah R.B. , Lamoreux John F. , Lees Alexander C. , Lens Luc , Mahood Simon P. , Mallon David P. , Meijaard Erik , Méndez‐Sánchez Federico , Percequillo Alexandre Reis , Regan Tracey J. , Renjifo Luis Miguel , Rivers Malin C. , Roach Nicolette S. , Roxburgh Lizanne , Safford Roger J. , Salaman Paul , Squires Tom , Vázquez‐Domínguez Ella , Visconti Piero , Woinarski John C.Z. , Young Richard P. , Butchart Stuart H.M. 
Published: September 2020

AbstractAichi Target 12 of the Convention on Biological Diversity (CBD) contains the aim to ‘prevent extinctions of known threatened species’. To measure the degree to which this was achieved, we used expert elicitation to estimate the number of bird and mammal species whose extinctions were prevented by conservation action in 1993–2020 (the lifetime of the CBD) and 2010–2020 (the timing of Aichi Target 12). We found that conservation action prevented 21–32 bird and 7–16 mammal extinctions since 1993, and 9–18 bird and two to seven mammal extinctions since 2010. Many remain highly threatened and may still become extinct. Considering that 10 bird and five mammal species did go extinct (or are strongly suspected to) since 1993, extinction rates would have been 2.9–4.2 times greater without conservation action. While policy commitments have fostered significant conservation achievements, future biodiversity action needs to be scaled up to avert additional extinctions.
Integrity verification and behavioral classification of a large dataset applications pertaining smart OS via blockchain and generative models
Authors: Jan Salman , Musa Shahrulniza , Ali Toqeer , Nauman Mohammad , Anwar Sajid , Ali Tanveer Tamleek , Shah Babar 
Published: September 2020

AbstractMalware analysis and detection over the Android have been the focus of considerable research, during recent years, as customer adoption of Android attracted a corresponding number of malware writers. Antivirus companies commonly rely on signatures and are error‐prone. Traditional machine learning techniques are based on static, dynamic, and hybrid analysis; however, for large scale Android malware analysis, these approaches are not feasible. Deep neural architectures are able to analyze large scale static details of the applications, but static analysis techniques can ignore many malicious behaviors of applications. The study contributes to the documentation of various approaches for detection of malware, traditional and state‐of‐the‐art models, developed for analysis that facilitates the provision of basic insights for researchers working in malware analysis, and the study also provides a dynamic approach that employs deep neural network models for detection of malware. Moreover, the study uses Android permissions as a parameter to measure the dynamic behavior of around 16,900 benign and intruded applications. A dataset is created which encompasses a large set of permissions‐based dynamic behavior pertaining applications, with an aim to train deep learning models for prediction of behavior. The proposed architecture extracts representations from input sequence data with no human intervention. The state‐of‐the‐art Deep Convolutional Generative Adversarial Network extracted deep features and accomplished a general validation accuracy of 97.08% with an F1‐score of 0.973 in correctly classifying input. Furthermore, the concept of blockchain is utilized to preserve the integrity of the dataset and the results of the analysis.
No quarter: Lack of refuge during flow intermittency results in catastrophic mortality of an imperiled minnow
Authors: Archdeacon Thomas P. , Reale Justin K. 
Published: September 2020

Abstract

Many once‐perennial rivers have become intermittent. Channel drying can result in fish mortality if refuges are not available. Understanding where refuges occur and if fishes use these refuges can provide insight for species persistence and help stakeholders manage limited resources. Streamflow diversions in the Rio Grande of New Mexico can result in >60 km losses of aquatic habitat, affecting up to 30% of the range of imperiled Rio Grande silvery minnow (Hybognathus amarus). Potential refuges include areas with perennial flow below diversion dams, isolated pools, and irrigation return flows.

We examined spatial and temporal patterns of both adult and young‐of‐year Rio Grande silvery minnow collected in isolated pools that formed during streamflow intermittency from 2009 to 2019. We hypothesised that: (1) Rio Grande silvery minnow would be more numerous in pools that persisted longer; (2) they would be more numerous in isolated pools located closer to upstream areas of perennial flow, due to upstream movement to escape drying; and (3) increased rate of aquatic habitat loss each day would result in more Rio Grande silvery minnow in isolated pools.

During the 12 years of the study, we counted Rio Grande silvery minnow in 3,985 isolated pools that formed during streamflow intermittency. We related counts of Rio Grande silvery minnow in each pool to the maximum pool depth, rate of loss of aquatic habitat that occurred that day, and distance each pool was to an upstream barrier. In 2016, we examined persistence of 290 isolated pools until complete desiccation or reconnection with continuous flows occurred, and the factors that influenced pool persistence.

Deeper pools persisted for longer, but depth had a small positive effect on counts of adult Rio Grande silvery minnow and no effect on counts of young‐of‐year in isolated pools. Adults were more numerous in upstream isolated pools, whereas young‐of‐year were more numerous in downstream isolated pools. Rate of channel drying had little effect on the numbers of adult Rio Grande silvery minnow in isolated pools, but more young‐of‐year were stranded when the rate of drying was faster. On average, pools persisted <4 days and 263 of 290 dried completely before continuous flows returned. Only 66 of 4,749 Rio Grande silvery minnow occurred in pools that did not dry completely.

Rio Grande silvery minnow did not appear to escape channel intermittency; instead, they became stranded in shrinking isolated pools that did not persist long enough to act as refuges for fishes. Lack of refuge during channel intermittency would result in catastrophic mortality of fishes through complete desiccation of pools if there were no management actions, such as translocating fish. To increase persistence through streamflow intermittency, conservation actions should match the species response to intermittency by ensuring the availability of perennial‐water refuges at the appropriate spatial and temporal scale.
Functional, proteomic and bioinformatic analyses of Nrf2‐ and Keap1‐ null skeletal muscle
Authors: Gao Lie , Kumar Vikas , Vellichirammal Neetha Nanoth , Park Song‐Young , Rudebush Tara L. , Yu Li , Son Won‐Mok , Pekas Elizabeth J. , Wafi Ahmed M. , Hong Juan , Xiao Peng , Guda Chittibabu , Wang Han‐Jun , Schultz Harold D. , Zucker Irving H. 
Published: September 2020

Key points
Nrf2 is a master regulator of endogenous cellular defences, governing the expression of more than 200 cytoprotective proteins, including a panel of antioxidant enzymes.
Nrf2 plays an important role in redox haemostasis of skeletal muscle in response to the increased generation of reactive oxygen species during contraction.
Employing skeletal muscle‐specific transgenic mouse models with unbiased‐omic approaches, we uncovered new target proteins, downstream pathways and molecular networks of Nrf2 in skeletal muscle following Nrf2 or Keap1 deletion.
Based on the findings, we proposed a two‐way model to understand Nrf2 function: a tonic effect through a Keap1‐independent mechanism under basal conditions and an induced effect through a Keap1‐dependent mechanism in response to oxidative and other stresses.
AbstractAlthough Nrf2 has been recognized as a master regulator of cytoprotection, its functional significance remains to be completely defined. We hypothesized that proteomic/bioinformatic analyses from Nrf2‐deficient or overexpressed skeletal muscle tissues will provide a broader spectrum of Nrf2 targets and downstream pathways than are currently known. To this end, we created two transgenic mouse models; the iMS‐Nrf2flox/flox and iMS‐Keap1flox/flox, employing which we demonstrated that selective deletion of skeletal muscle Nrf2 or Keap1 separately impaired or improved skeletal muscle function. Mass spectrometry revealed that Nrf2‐KO changed expression of 114 proteins while Keap1‐KO changed expression of 117 proteins with 10 proteins in common between the groups. Gene ontology analysis suggested that Nrf2 KO‐changed proteins are involved in metabolism of oxidoreduction coenzymes, purine ribonucleoside triphosphate, ATP and propanoate, which are considered as the basal function of Nrf2, while Keap1 KO‐changed proteins are involved in cellular detoxification, NADP metabolism, glutathione metabolism and the electron transport chain, which belong to the induced effect of Nrf2. Canonical pathway analysis suggested that Keap1‐KO activated four pathways, whereas Nrf2‐KO did not. Ingenuity pathway analysis further revealed that Nrf2‐KO and Keap1‐KO impacted different signal proteins and functions. Finally, we validated the proteomic and bioinformatics data by analysing glutathione metabolism and mitochondrial function. In conclusion, we found that Nrf2‐targeted proteins are assigned to two groups: one mediates the tonic effects evoked by a low level of Nrf2 at basal condition; the other is responsible for the inducible effects evoked by a surge of Nrf2 that is dependent on a Keap1 mechanism.
Soiling Loss Rate Measurements of Photovoltaic Modules in a Hot and Humid Desert Environment
Authors: Abdallah Marwan , Khaiyat Ahmad , Basaheeh Ali , Kotsovos Konstantinos , Ballard Ian , AlSaggaf Ahmed , Gereige Issam , Théron Ricardo 
Published: September 2020

Abstract
Power generation from renewable energy sources, in particular solar photovoltaics (PV), has become extremely attractive thanks to its very low levelized cost of electricity (LCoE). In desert-like environments, the energy yield is drastically reduced due to dust accumulation. While effective and affordable cleaning strategies can be implemented in large, MW-size PV power plants, soiling remains an economic and logistic challenge. In this article, we analyze the soiling loss rates of PV modules for different tilt angles measured during a period of 15 months in the Western Region of Saudi Arabia. We observe a strong correlation between weather parameters like humidity and wind speed and the mechanism of dust accumulation. Our measurements show that, for specific weather conditions, soiled modules undergo a partial cleaning process. As a consequence, and for the first time, the soiling loss rates are shown to have a clear dependence on the current soiling state of the modules, with clean modules soiling twice as fast as soiled ones. This dependency is a key for predicting the correct cleaning frequency of a PV power plant. Finally, the results obtained for vertically mounted modules (90 deg), where dust accumulation is negligible, point to a favorable case for the use of bifacial PV modules.
Development of a Self-Parameter Tuning Based Adaptive Sliding Mode Observer for Input Fault Reconstruction of Longitudinal Autonomous Driving
Authors: Song Tae-Jun , Oh Kwang-Seok , Lee Jong-Min , Yi Kyong-Su 
Published: September 2020

Abstract
This paper presents an adaptive sliding mode observer for input fault reconstruction of longitudinal autonomous driving. Sliding mode observer is the robust observer against disturbance, which is used to reconstruct the fault and state estimation. In order to design the injection parameter for sliding mode observer, the boundary of errors that include the fault is required. However, it is difficult to expect the fault magnitude for design the injection parameter. The proposed method is to estimate the proportional constant from the relationship between output error and injection parameter based on recursive least squares. Then, it is used to update the adaptive parameter based on MIT rule. The performance evaluation algorithm was conducted in Matlab/Simulink environment using actual longitudinal driving data and 3-dimensions vehicle model with the applied various faults.
Improvement of Wound Roll Defects and the Effect of Film Properties
Authors: Nishida Takeshi , Sunami Yuta 
Published: September 2020

Abstract
In recent years, the research and development of devices using thin and flexible plastic films as substrates has been actively conducted. However, thin films, which have been growing in demand in recent years, have problems when rolled. Therefore, in this study, the physical properties were measured using a thin plastic film, the stress analysis was performed using the plastic film, and the internal stress of the roll was actually measured to evaluate the effect of thinning. As a result, it was found that the analyzed stress of the winding roll using the thin film was much lower than the measured value.
Contact Printing Pressure Uniformization Control System in Roll-to-Roll Process Using 2-DOF Individual Drive System
Authors: Park Jimin , Kim Youngjin , Lee Byeongcheol , Kim Hyeongrae , Oh Dongho 
Published: September 2020

Abstract
Printed electronics is a technology in which conductive ink or functional materials are printed as a flexible material passes between rolls. It is possible to apply various applications such as solar cell, sensor, and display, and it is the next generation process that can mass-produce eco-friendly within a short time. However, if the printing pressure between rolls cannot be made uniform in a roll-to-roll process, it is difficult to commercialize printed electronics due to the deterioration of print quality. In our previous work, initial conditions were selected using pre-measured roll shape information to minimize printing pressure variations, and the printing pressure unevenness due to repeated runout was reduced. In order to equalize the contact printing pressure, this paper designs a controller model similar to the half car model considering the relationship between the two servomotors of the two degree of freedom individual drive system and the pressures at both ends of the impression roll. In addition, the control system to uniform the contact printing pressure using the roll-to-roll two degree of freedom individual drive system was confirmed by simulation and experiment.
Disk Protrusion Measurement in a Back-Heating Study for Heat Assisted Magnetic Recording
Authors: Xiong Shaomin , Smith Robert , Schreck Erhard 
Published: September 2020

Abstract
Heat assisted magnetic recording (HAMR) is a promising technology for the next generation hard disk drives (HDDs). Understanding the heat transfer at nanoscales and implementing a proper thermal management scheme become very critical as a few heat sources and energy delivery components are compactly integrated in a HAMR drive. Recently, a back-heating experimental setup is used to study heat transfer behavior. It is found that the detection of head disk contact and head disk spacing control become more complicated in this experimental setup because the local heating generates a protrusion on the media surface. In this paper, we demonstrate a method to enhance the contact detection sensitivity significantly by modulating the head disk spacing. It shows that a light contact between the head TFC protrusion and media protrusion can be effectively detected. Thereafter, the media protrusion can be measured and the head disk spacing can be well set.