Miracle-dz/UniFAR-FTUs huggingface dataset:
Knowledge Management Strategy and Human Capital Management in Hotel Industry

ABSTRACT The present study explores the knowledge management strategy of Malaysian hotels in managing and leveraging their human capital. This study employs a case study approach, where interviews were conducted with human resource managers of seven hotels with different star ratings. Data are analyzed using NVivo and within and cross case analyses are performed to understand the different knowledge management strategies of Malaysian hotels to determine best practices in harnessing human capital in the hotel industry. The findings suggest that firms’ strategies are influenced by knowledge management and human capital management. The higher the rating of the hotels, the more likely the hotel is to adopt a knowledge management strategy based upon a human oriented strategy. This influences the innovativeness and creativeness of their human capital, which, in turn, increases the competitive advantage of the firms. Keywords: Knowledge management; Strategy; Human capital; Case study; Hotel ABSTRAK Kajian ini meninjau strategi pengurusan pengetahuan dalam industri hotel di Malaysia dalam mengurus dan mengambil kelebihan dari modal insan. Kajian ini menggunakan pendekatan kajian kes yang mana temubual bersama pengurus sumber manusia di tujuh buah hotel yang mempunyai penarafan bintang berbeza. Data dianalisis menggunakan NVivo, yang mana kajian kes dalaman dan silang dijalankan untuk memahami strategi pengurusan pengetahuan yang berbeza di hotel-hotel di Malaysia. Ini bertujuan untuk memahami manfaat modal insan dalam membangunkan amalan terbaik. Hasil kajian menunjukkan bahawa strategi firma dipengaruhi oleh pengurusan pengetahuan dan pengurusan modal insan. Semakin tinggi penarafan hotel, semakin besar kemungkinan hotel menggunakan strategi pengurusan pengetahuan yang berorientasikan modal insan. Ini mempengaruhi inovasi dan kreativiti modal insan yang seterusnya akan meningkatkan kelebihan daya saing firma. Kata kunci:Pengurusan pengetahuan; Strategi; Modal insan, Kajian kes, Hotel
Effects of cloudiness on carbon dioxide exchange over an irrigated maize cropland in northwestern China

Abstract. Clouds can strongly influence solar radiation and affects other microclimatic factors (such as air temperature and vapour pressure deficit), and those changed environmental conditions may exert strong effects on carbon exchange between terrestrial ecosystems and the atmosphere. In this study, we analyzed how canopy photosynthesis and ecosystem respiration respond to changes in cloudy conditions, based on two years of eddy-covariance and meteorological data from an irrigated maize cropland in Yingke oasis of northwestern China. The results showed that net carbon uptake was more negative under cloudy than under clear conditions, it indicates that net carbon uptake increased under cloudy days. The rate of ecosystem respiration (Re) decreased under cloudy conditions due to decreased air temperature. However, photosynthesis was suppressed by the decreasing air temperature and vapour pressure deficit (VPD) under cloudy skies. Thus, the enhancement of net carbon uptake under cloudy skies mainly contributed from increasing photosynthesis with diffuse radiation. Those results improve our understanding of the effects of cloud cover on carbon exchange process in maize (C4) cropland, and improve our understanding of the driver improving net carbon uptake under cloudy conditions.
Lexical Choice Difficulties: A Psycholinguistic Study towards a Solution

Lexes are the “building blocks” of language and no one could ever think that language acquisition could take place without considering its vocabulary the cornerstone a learner commences with, employing several cognitive and non-cognitive learning strategies in acquiring such vocabulary. In spite of the so many studies tackling different kinds of errors an L2 learner commits, there are fewer studies done on lexical errors and so few, if any at all, probing deeply the sources of such errors and their consequences. Thus, this study is intended to provide a psycholinguistic evidence for the possible sources lexical errors could be ascribed to. 50 essays have been selected randomly from 123 ones written by Arabic-speaking Yemeni learners of English given to them as homework assignments. Errors were identified, classified and tabulated. Then, sources were classified into four categories, viz . L1-transfer, L2-influence, mutual and unrecognized . The analysis shows that (44%) of the errors were ascribed to L1-transfer , (40%) to L2-influence , (12.8%) to mutual and (3.2%) to unrecognized . The Findings could be applied to ESL/EFL vocabulary teaching-learning contexts. Keywords : Lexical Choice, Arabic-speaking Yemeni Learners, Psycholinguistics, Learning Strategies, Error Sources
How Far Can Forecasting Models Forecast? Forecast Content Horizons for Some Important Macroeconomic Variables

For stationary transformations of variables, there exists a maximum horizon beyond which forecasts can provide no more information about the variable than is present in the unconditional mean. Meteorological forecasts, typically excepting only experimental or exploratory situations, are not reported beyond this horizon; by contrast, little generally accepted information about such maximum horizons is available for economic variables. The authors estimate such content horizons for a variety of economic variables, and compare these with the maximum horizons that they observe reported in a large sample of empirical economic forecasting studies. The authors find that many published studies provide forecasts exceeding, often by substantial margins, their estimates of the content horizon for the particular variable and frequency. The authors suggest some simple reporting practices for forecasts that could potentially bring greater transparency to the process of making and interpreting economic forecasts.
Wound healing activity of methanolic extract of the leaves of Crataeva magna and Euphorbia nerifolia in rats

Crataeva magna and Euphorbia nerifolia have been shown to possess hepatoprotective activity and antioxidant property. The present works with these plants were undertaken with the premise that the drug promoting hepatoprotective activity and radical scavenging property could have effect on wound healing also. The wound healing property of the methanolic extract of the leaves of Crataeva magna (CNM) and Euphorbia nerifolia (ENM) were chosen to investigate in excision and incision wound models. The methanolic extracts of the two plants at the dose of 500 mg/kg/day by topically applying method. Healing was assessed by the rate of wound contraction, time until complete epithelialization, incision breaking strength, estimation of hydroxyproline and histopathological parameters. Complete wound contraction was shown by both the plants in the study period. In excision and incision wound models, all the test drugs showed significant (P<0.001) wound healing activities compared to the control. Moreover the CNM was found to possess significant wound healing activities than the ENM and had been observed to have equipotent wound healing activity as of the standard drug Framycetin.
Trialogues: A framework for bridging the gap between people research and design

In design research literature, several tools and techniques have been developed that support design teams in establishing creative understandings of people and their contexts of product use, e.g. [1] [2] [3]. Many of these approaches suggest that designers simply adopt the role of people researcher. However, in industrial design practice, the interaction between users and the design team is often mediated by a third party performing the people research – an external company, or experienced people researchers from within the company, who may or may not be part of the design team. In these cases, the rich user experience data gathered in people research needs to be conveyed to the design team in ways that enable the team to establish creative understandings of users. This paper introduces trialogue, a framework for communicating user experience data in industrial design practice. Using the framework, seven guidelines are identified aiming to support design practitioners and researchers in developing ways for communicating rich user experience data that support design teams in establishing creative understandings of users and their contexts.
Current trends and clinical applications of optical coherence tomography in orthodontics: A literature review

This paper presents an overview of the current knowledge about non-invasive investigations using optical coherence tomography (OCT) – structural imaging of oral tissues and biomaterials applied in vivo and in vitro – employed in the field of orthodontics. Optical coherence tomography is an emerging technology for producing high-resolution cross-sectional imagery. OCT provides cross-sections of tissues in a non-contact and non-invasive manner. The device measures the time delay and the intensity of light scattered or reflected off of biological tissues, which results in tomographic imaging of their internal structure. This is achieved by scanning tissues at a low resolution.
Enzyme Immunoassay on Virus-infected Cultured Cells: Its Further Improvement and Versatility

Enzyme immunoassay (EIA) on virus-infected cultured cells was applied to different viruses as a simple and new method, including a novel approach to the in vitro titration of cell culture-adapted fixed rabies virus (FRY). EIA titration of FRY on BHK21 cells at 33°C gave the end-point of 5.33 log TCID50/10μl on day 6, which was equal to the parallel mouse intracerebral (ic) titers. At 37°C, herpes simplex virus type 1 (HSV-1) gave the EIA endpoint titer on BHK-21 cells of 4.50 log TCID50/10ƒÊl on day 3, whereas the EIA endpoint titer of respiratory syncytial virus (RSV) on HeLa cells was 3.50log TCID50/10ƒÊl on day 4. No significant levels of cross-reactions were observed between FRV and HSV-1 on BHK-21 cells by EIA titration. The virus antigens in the infected cells remained stable for the EIA assay on storage at 4°C or 28°C for 1 month under dessication. The staining procedure of the EIA assay could be completed within 2 hours by prewarming the reagents, thus providing a simplified identification and titration of the virus isolates as well as the antibody assay and screening of antiviral drugs.
Unreasonable Effectivness of Deep Learning

We show how well known rules of back propagation arise from a weighted combination of finite automata. By redefining a finite automata as a predictor we combine the set of all $k$-state finite automata using a weighted majority algorithm. This aggregated prediction algorithm can be simplified using symmetry, and we prove the equivalence of an algorithm that does this. We demonstrate that this algorithm is equivalent to a form of a back propagation acting in a completely connected $k$-node neural network. Thus the use of the weighted majority algorithm allows a bound on the general performance of deep learning approaches to prediction via known results from online statistics. The presented framework opens more detailed questions about network topology; it is a bridge to the well studied techniques of semigroup theory and applying these techniques to answer what specific network topologies are capable of predicting. This informs both the design of artificial networks and the exploration of neuroscience models.
An Assessment of Individual and Technological Factors for Computing Validation: Motivation and Social Processes

This study identified the attitudes toward using computers and Web-based technology as measured by the Computer attitude scale (CAS) and the Web-based attitude scale (WAS). Also this study examined individual and technological factors which determine learner levels of anticipation to adopt Web-based learning technology in postsecondary education. A conceptual and modified model that was an extension of the Technology Acceptance Model (TAM), TAM2, and Webbased Instruction (WBI) provided the theory and design for the study. Data were analyzed through two-way MANOVA to decipher learner behaviors related to adopting Web-based learning technology in postsecondary education. A combination of behavioral and psychometric questionnaires consisting of TAM perceptions, computer attitude scales, Web-based attitude scales, and demographic information was created. Results in this research noted that prior computing experiences had significant correlations between the CAS and the WAS. Perceptions of usefulness and ease of use, intentions to use for supplementary learning and distance education had significant relationships based on CAS and WAS. The study suggested that the TAM assessment process may be potentially valuable in teacher candidate assessment and recruitment, with an eye to increasing the pace of online resource diffusion. The aim is to model and predict the learner behavior and to assess the motivation of computing identification for some technological factors. Knowledge of social change process, as it synthesizes motivations and beliefs with technological innovations, is necessary for leaders who seek to build a better world through using technology in education.
Anomaly Detection in Big Data based on Clustering

Selection of the right tool for anomaly (outlier) detection in Big data is an urgent task. In this paper algorithms for data clustering and outlier detection that take into account the compactness and separation of clusters are provided. We consider the features of their use in this capacity. Numerical experiments on real data of different sizes demonstrate the effectiveness of the proposed algorithms.
Impact of Innovation and Places on Corporate Governance the Case of Wind Turbine Production

We examine how corporate governance changes over the industrial life cycle when places commit ﬁrms to certain governance structures. Focus is on industries where a signiﬁcant part of the economic value is created by technological knowledge changing the conditions for corporate ﬁnancing. The article extends this view to include knowledge needed to accumulate governance capabilities. The board is a crucial governance institution emphasized in the study. We ﬁnd that changes in this institution depend on shareholders’ concern regarding innovation management. We also ﬁnd that boards are changed over time to improve the conversational exchange, which is attained by extending the boards with directors holding degrees in engineering. The main ﬁnding is that the most successful ﬁrms recruit board members from the geographic setting in which they were founded at all stages of the industrial life cycle. The Danish wind turbine industry serves as empirical evidence.
Growth-controlling mechanisms on heterotrophic bacteria in the South China Sea shelf: Summer and Winter patterns

Mechanisms in controlling the growth of heterotrophic bacteria have seldom been explored in the tropical South China Sea (SCS). This study reports the tempospatial distribution patterns and the controlling mechanisms of bacterial biomass (BB), production (BP), and specific growth rate (Bμ) from one summer (Jun 2010; 4 transects) and two winter (January and December 2011; one transect each) cruises along the northern SCS-shelf. In summer, all three bacterial variables showed strong gradients with greater readings at the inner-shelf then decreasing seaward. The positive correlations of bacterial production rate (BP) and bacterial specific growth rate (Bμ), with primary production (PP), chlorophyll-a, and dissolved organic carbon observed in summer indicate a high possibility of bottom-up (substrate supply) control. Positive bacterial temperature response was observed in the inner to mid-shelf area in winter. There, Bμ changed proportionally with temperature up to ca. 22°C. The Q10 (the increase of reaction rate for a temperature rise of 10°C) for Bμ was ~4.0, which was in the range reported by coastal studies. Very high BP/PP ratios (summer average: 89 ± 92%; winter average: 131 ± 88%) indicated bacteria carbon demand relied heavily on allochthonous organic carbon sources such as river input and re-suspension processes, and that the SCS-shelf might be net heterotrophic in these two seasons. In winter, BP/PP ratios changed positively with temperature in areas inside the midshelf, suggesting that the coastal zone might become a stronger CO2 source during cold season under a warming climate, if anthropogenic loadings of inorganic nutrients and organic matter remain high in the future. Article history: Received 15 February 2017 Revised 9 January 2018 Accepted 19 January 2018
Little auks (Alle alle) breeding in a High Arctic fjord system: bimodal foraging strategies as a response to poor food quality?

The foraging behaviour of little auks (Alle alle) in the Bjørndalen colony on the western coast of Spitsbergen was studied during the breeding season 2005. The duration of foraging trips and contents of gular pouches were analysed. Quantitative zooplankton samples procured in the vicinity of the colony facilitated a comparison between gular pouch contents and the availability of prey species. Zooplankton and gular pouch samples were all sampled within a time window of approximately one week. Using the Bray–Curtis similarity index, we determined that little auks in this colony have a bimodal foraging strategy consisting of long and short foraging trips with two corresponding distinct diets. Short trips are most likely to be centred on areas within the Isfjorden complex, whereas the birds are most likely to use the long trips (of typically more than 10 hours) to reach areas off the continental slope where they are able to feed selectively on large, energy-rich food items such as Calanus hyperboreus. This bimodal foraging strategy may be a response to the low availability of nutrientrich food close to the colony, which is insufficient to sustain both parents and chicks. Bimodal foraging trip strategies are well documented in many species in the Southern Ocean. This is the first study to show a similar feeding pattern in an Alcidae species in the Northern Hemisphere.
Lower limits on the lifetime of massive neutrino radiative decay from the 2006 total solar eclipse

We report on the search for signatures of possi- ble neutrino radiative decays, in occasion of the 2006 total solar eclipse (TSE). The lower lifetime limits obtained in the hypothesis of normal mass hierarchy (m3 m2 > m1) are about 3 orders of magnitude better than the previous re- sults. The inverted mass hierarchy scenario (m2 >m1 m3) is also investigated. The reached sensitivity suggests that the limits presented here are the best obtainable using this technique.
DO FRUGIVOROUS MICE CHOOSE WHERE OR WHAT TO FEED ON?

Abstract Exhaustive analyses of plant–frugivore systems have revealed that few, if any, of these plant–animal interactions are tightly coevolved. Such lack of coevolutionary evidence could be related to frugivores selecting plants based on environmental cues, rather than on plant phenotypic traits. To evaluate this hypothesis, I examined whether the pattern and extent of fruit predation by long-tailed field mice (Apodemus sylvaticus) on the perennial herb Helleborus foetidus was directly related to mouse abundance, to environmental cues, to plant phenotypic traits, or to a combination of these. Thus, I estimated mouse relative abundance (through livetrapping) and percentages of fruit predation by mice, and quantified plant environmental and phenotypic traits in 9 populations of H. foetidus in southeastern Spain during 2 years (overall, 254 plants). I found substantial variation among populations in mouse trapping success (ranging from 0.0 to 21.8 individuals/100 trap nights), size of fruit crops (8.6–28.9 fruits per plant), and percentages of fruit predation by mice (0.0–93.3%). However, no simple relationship was found between mouse abundance (as estimated by trapping success) and strength of fruit predation. None of the 4 measured plant phenotypic traits (e.g., number of fruits or plant size) had a significant effect on mouse foraging. Conversely, 2 of the 6 environmental traits considered (substrate and distance to nearest tree) influenced fruit predation by mice. Plants located on rocky substrates and nearby trees experienced higher percentages of predation and this result was rather consistent across the 2 years and the 2 levels considered (inter- and intrapopulation). Even though mice could have selected other plant phenotypic traits not accounted for (e.g., chemical traits), such hypothetical phenotypic selection appears to be inconsequential as a source of individual variation in H. foetidus maternal fitness because its effects could have been “diluted” by the overwhelming influence of environmental factors. Thus, the results support the initial hypothesis that the net outcomes of the interaction between H. foetidus and mice in southeastern Spain may not have strong coevolutionary consequences.
State Of The Art: A Study of Human-Robot Interaction in Healthcare

—In general, the applications of robots have shifted rapidly from industrial uses to social uses. This provides robots with the ability to naturally interact with human beings and socially fit into the human environment. The deployment of social robots in the healthcare system is becoming extensive as a result of the shortage of healthcare professionals, rising costs of healthcare and the exponential growth in the number of vulnerable populations such as the sick, the aged and children with developmental disabilities. Consequently, social robots are used in healthcare for providing health education and entertainment for patients in the hospital and for providing aids for the sick and aged. They are also used for dispensing drugs and providing rehabilitation as well as emotional and aging care. Hence, social robots improve the efficiency and quality of healthcare services. The interaction between social robots and human beings is known as human-robot interaction. Human-robot interaction in healthcare is faced with numerous challenges such as the fear of displacement of caregivers by robots, safety, usefulness, acceptability as well as appropriateness. These challenges ultimately lead to a low rate of acceptance of the robotic technology. Consequently, this paper extensively appraises human-robot interaction in healthcare, their applications and challenges. Design, ethical and usability issues such as privacy, trust, safety, users‘ attitude
Extended pivot-based approach for bilingual lexicon extraction

This paper describes the extended pivot-based approach for bilingual lexicon extraction. The basic features of the approach can be described as follows: First, the approach builds context vectors between a source (or target) language and a pivot language like English, respectively. This is the same as the standard pivot-based approach which is useful for extracting bilingual lexicons between low-resource languages such as Korean-French. Second, unlike the standard pivot-based approach, the approach looks for similar context vec- tors in a source language. This is helpful to extract translation candidates for polysemous words as well as lets the translations be more confident. Third, the approach extracts translation candidates from target context vectors through the similarity between source and target context vectors. Based on these features, this paper describes the extended pivot-based approach and does various experiments in a language pair, Korean-French (KR-FR). We have observed that the approach is useful for extracting the most proper translation candidate as well as for a low-resource language pair.