nils-herrmann/clean_scirepeval huggingface dataset:
Intercultural Challenges Facing the Hospitality Industry. Implications for Education and Hospitality Management
Year: 2015

Hospitality organizations which are increasingly operating internationally create real challenges for their employees and managers to interact and effectively work with people from different cultural environments. Many problems may relate to intercultural communication between managers and employees as well as between employees and hotel guests from different cultural backgrounds. Therefore, the issue of intercultural communication has recently had an increasing reach in the hospitality industry. Cultural awareness, sensitivity and understanding of cultural differences should be perceived as a critical issue for business success. Therefore, the following questions still need answers from both academics and the business: What kind of challenges does the hospitality industry face in view of the multicultural diversity of its markets? What kind of managers' skills and abilities, particularly in the case of entry level managers, are strongly needed today to manage effectively multicultural hospitality workforce? And how may educational programs influence intercultural competence development of tourism and hospitality students to interact effectively in a multicultural environment. The aim of the study is to show that cultural diversity of hotel employees and guests may create unique challenges of cross cultural service encounters, which may provide an opportunity for service differentiation. The research problem is to find answers to the questions: how may the challenges that emerge from cross cultural interactions become a source of hotel competitiveness and how may the educational process contribute to the intercultural competence development, to recruit employees who will be able to operate successfully in a multicultural hospitality environment. The study problem is discussed in the context of literature review and the previous research conducted in the hospitality setting. Implications for practitioners and educators are also delivered.
Deep Reinforcement Learning for Doom using Unsupervised Auxiliary Tasks
Venue: ArXiv
Year: 2018

Recent developments in deep reinforcement learning have enabled the creation of agents for solving a large variety of games given a visual input. These methods have been proven successful for 2D games, like the Atari games, or for simple tasks, like navigating in mazes. It is still an open question, how to address more complex environments, in which the reward is sparse and the state space is huge. In this paper we propose a divide and conquer deep reinforcement learning solution and we test our agent in the first person shooter (FPS) game of Doom. Our work is based on previous works in deep reinforcement learning and in Doom agents. We also present how our agent is able to perform better in unknown environments compared to a state of the art reinforcement learning algorithm.
The need for exercise in exergaming perspective of the uses and gratifications theory
Venue: Ind. Manag. Data Syst.
Year: 2020

Playing exergames may resemble doing conventional exercise and thus has the potential to enhance users' health. However, no study has yet examined whether and how a need for exercise impacts users' intention to continuously play exergames, i.e. continuance intention and its antecedents. We developed a model grounded in the uses and gratifications theory (UGT) to address this issue.,We recruited 583 participants to play exergames and collected their psychological responses and physical information. Structural equation modeling (SEM) was used to test the hypotheses.,We found that health consciousness and perceived exercise benefits are positively related to a need for exercise, which is, in turn, positively related to continuance intention. Moreover, perceived exergame similarity with exercise strengthens the positive link between the need for exercise and continuance intention.,This is the first study using the UGT to explain the underlying mechanism linking health consciousness to continuance intention in the playing of exergames. In addition, we introduced the need for exercise as a novel construct in this study. Our findings provide insights to managers on incorporating health related features into their exergame products to motivate users' engagement in playing exergames.
Deep Molecular Dreaming: Inverse machine learning for de novo molecular design with surjective representations
Year: 2020

The de novo design of new functional chemical compounds can bring enormous scientific and technological advances. For this reason, researchers in cheminformatics have developed a plethora of A.I. methodologies for the challenging inverse molecular design task  They include deep learning techniques such as variational autoencoders (VAE) [2, 3, 4] generative adversarial networks (GAN) [5, 6] reinforcement learning (RL) [7, 8] and evolutionary techniques such as genetic algorithms (GA) [9, 10, 11]
A NOVEL DESIGN OF THE ROOTS BLOWER
Venue: Vietnam Journal of Science and Technology
Year: 2019

This paper reports a novel curve developed from non circular gearing theory, which can be applied in rotor profile design of the two lobe Roots blower. The formulas for calculating the volumetric efficiency and specific flow rate of the blower have also been established. To evaluate this type of the Roots blower, the volumetric efficiency and specific flow rate are being compared with those parameters of the two traditional designs and one recent variant.
INTERNALIZATION OF VIRUSES AND IDENTIFICATION OF COMPOUNDS EFFECTIVE THEREOF
Year: 2017

Aderem et al. "Mechanisms of Phagocytosis in Macrophages' Annu.  Dewerchin et al. "Feline infectious peritonitis virus infected monocytes internalize viral membrane bound proteins upon anti body addition" Journal of General Virology 67, pp. 1685 1690, 2006. Dewerchin et al. "Surface expressed viral proteins in feline infec tious peritonitis virus infected monocytes are internalized through a clathrinand caveolae independent pathway.  Dewerchin, "Characterization of putative immune evasion mecha nisms of feline infectious peritonitis virus' Thesis, 1996. Gallagher et al. "Myosin light chain kinases" Journal of Muscle Research and Cell Motility, 18, pp. 1 16, 1997. Guerriero et al. "Production and Characterization of an Antibody to Myosin Light Chain Kinase and Intracellular Localization of the Enzyme" Cell, vol. 27, pp. 449 458, Dec. 1981. Imberechts et al. "Characterization of F107 Fimbriae of Escherichia coli 107/86, Which Causes Edema Disease in Pigs, nad Nucleotide Sequence of F107 Major Fimbrial Subunit Gene, fedA' Infection and Immunity, vol. 60, No. 5,  1971, May 1992. Imberechts et al. Characterization of F18 fimbrial genes fedE and fedF involved in adhesion and length of enterotoxemic Escherichia coli Strain 10786. Yu Hua Liu et al. "Distribution of HType 1 and of HType 2 Antigens of ABO Blood Group in Different Cells of Human Submandibular Gland'  1998. McArdle et al. "Induction and enhancement of feline infectious peritonitis by canine coronavirus' Am  McKeirnan et al. "Isolation of Feline Coronaviruses from Two Cats with Diverse Disease Manifestations' Feline Practice Medicine, vol. 11, No. 3. Jun. 1981. O'Hara et al. "Myosin II Dependent Membrane Translocation of SGLTI and Aqpl Is Required for Efficient C. parvum Cellular Inva sion of Cholangiocytes' 2008. Pedersen et al. "Immunologic Phenomena in the Effusive Form of Feline Infectious Peritonitis' Am JVet Res, vol. No. 6, pp. 868 876, 1980. Pedersen et al. "Attempted immunization of cats against feline infec tious peritonitis, using avirulent live virus or Sublethal amounts of virulent virus' American Journal of Veterinary Research, vol. 44. No. 2, pp. 229 234, Feb. 1983. Petrache et al. "Caspase dependent cleavage of myosin light chain kinase (MLCK) is involved in TNF mediated bovine pulmonary endothelial cell apoptosis' The FASEB Journal, vol. 17. Mar. 2003. Ruiz Palacious et al. "Campylobacter jejuni Binds Intestinal H(O) Antigen (fuco. 1, 2GAI31, 4GlcNAc) and Fucosyloligosaccharides of Human Milk Inhibit Its Binding and Infection' The Journal of Biological Chemistry, vol. 278, No. 16,  Issue of Apr. 18, 2003. Saitoh et al. "Selective Inhibition of Catalytic Activity of Smooth Muscle Myosin Light Chain Kinase' The Journal of Biological Chemistry, vol. 262, No. 16,  1987.
AI Research Funding Portfolios and Extreme Growth
Venue: Frontiers in Research Metrics and Analytics
Year: 2021

Our work analyzes the artificial intelligence and machine learning (AI/ML) research portfolios of six large research funding organizations from the United States [National Institutes of Health (NIH) and National Science Foundation (NSF) Europe [European Commission (EC) and European Research Council (ERC) China [National Natural Science Foundation of China (NNSFC) and Japan [Japan Society for the Promotion of Science (JSPS) The data for this analysis is based on 127,000 research clusters (RCs) that are derived from 1.4 billion citation links between 104.8 million documents from four databases (Dimensions, Microsoft Academic Graph, Web of Science, and the Chinese National Knowledge Infrastructure) Of these RCs, 600 large clusters are associated with AI/ML topics, and 161 of these AI/ML RCs are expected to experience extreme growth between May 2020 and May 2023. Funding acknowledgments (in the corpus of the 104.9 million documents) are used to characterize the overall AI/ML research portfolios of each organization. NNSFC is the largest funder of AI/ML research and disproportionately funds computer vision. The EC, RC, and JSPS focus more efforts on natural language processing and robotics. The NSF and ERC are more focused on fundamental advancement of AI/ML rather than on applications. They are more likely to participate in the RCs that are expected to have extreme growth. NIH funds the largest relative share of general AI/ML research papers (meaning in areas other than computer vision, natural language processing, and robotics) We briefly describe how insights such as these could be applied to portfolio management decision making.
Spatial Dependence of Polycyclic Aromatic Compounds Growth in Counterflow Flames
Year: 2017

The formation mechanisms of aromatic compounds in flame are strongly influenced by the chemical and thermal history that leads to their formation. Indeed, the complex environments that characterize combustion systems do not only affect the composition of gas phase species, but they also determine the structure and the characteristics of the soot precursors generated. To illustrate the importance of these effects, in this work we investigate the growth mechanisms of soot precursors in an atmospheric pressure ethylene/oxygen/argon counterflow diffusion flame, using a combination of computational and experimental techniques. In diffusion flames, flow characteristics play an important role in the formation, growth, and oxidation of particles, and soot precursors are strongly affected by the flame location. Fluid dynamics simulations and stochastic discrete modeling were employed together to identify key reaction pathways along various flow streamlines. The models were validated with experimental mass spectra obtained using aerosol mass spectrometry coupled with vacuum ultraviolet photoionization. Results show that both the hydrogen abstraction acetylene addition mechanism and oxygen insertion reactions are responsible for the molecular growth, and their relative importance is determined by the flame conditions along the streamlines. Oxygenated species were detected in regions of high temperature, high atomic oxygen concentration, and relatively low acetylene abundance. This study also emphasizes the need to model the counterflow flame in three dimensions to capture the spatial dependence on growth mechanisms of soot precursors.
Synthesis of highly branched polyethylene using para phenyl substituted a diimine nickel catalysts
Year: 2018

A series of para phenyl substituted a diimine nickel complexes, (2,6 R2 4 PhC6H2N C(Me))2]NiBr2 (R iPr (1) R Et (2) R Me (3) R H (4) were synthesized and characterized. These complexes with systematically varied ligand sterics were used as precatalysts for ethylene polymerization in combination with methylaluminoxane. The results indicated the possibility of catalytic activity, molecular weight and polymer microstructure control through catalyst structures and polymerization temperature. Interestingly, it is possible to tune the catalytic activities (0.30 2.56) x 106 g (mol Ni*h) 1) polymer molecular weights (Mn (2.1 28.6) x 104 g mol 1) and branching densities (71 143/1000 C) over a very wide range. The polyethylene branching densities decreased with increasing bulkiness of ligand and decreasing polymerization temperature. Specifically, methyl substituted complex 3 showed high activities and produced highly branched amorphous polyethylene (up to 143 branches per 1000 C)
A Novel Failure Mode and Effects Analysis Method Based on Fuzzy Evidential Reasoning Rules
Venue: IEEE Access
Year: 2019

Failure mode and effects analysis (FMEA) is an effective reliability analysis technique and has been used for safety and dependability analysis in a wide range of fields. In the traditional FMEA, a method called risk priority number (RPN) has been widely used to determine the risk levels of failure modes. However, the method is deficient in dealing with imprecise data. To overcome that shortcoming, we propose a novel method based on fuzzy evidential reasoning rules to study the risk evaluation of failure modes in an uncertainty evaluation environment. The main contributions of this work are twofold: First, by analyzing the classical risk priority number method, we extract the reasoning knowledge from RPN method to construct fuzzy evidential reasoning rules for risk evaluation based on virtue of Dempster Shafer evidence theory and fuzzy set theory; Second, the initial risk assessment is modeled with fuzzy form based on basic probability assignment (BPA) and fuzzy number, which can perfectly reflect the uncertainties in practice. The approach establishes a new reasoning model for fuzzy risk evaluation in FMEA. Finally, an example for risk evaluation of failure modes during general anesthesia process is given to illustrate the effectiveness of the proposed method.
Feasibility of a Multidisciplinary and Culturally Adapted Pediatric Weight Management Program for Latino Families: Results From the Vidas Activas y Familias Saludables Pilot Study.
Venue: Journal of nutrition education and behavior
Year: 2019

To determine the feasibility of a pediatric weight management program for low income Latino families.  A pretest posttest pilot study was conducted among 60 Latino children, aged 4 9, who were overweight/obese (body mass index for age =85th percentile) The 10 week group based community program addressed diet, exercise, and behavior modification. Demand was assessed through recruitment and attendance, acceptability using postintervention surveys with participants, and limited efficacy testing of participant anthropometrics and cardiometabolic markers.  Overall 65% of families were retained for follow up. All families reported feeling more confident in making healthier food choices and would participate in the program again. Pre/post intervention testing found statistically significant decreases (P .05) in body mass index for age z score, waist circumference, and body fat.  This culturally adapted group intervention for Latino families was acceptable and shows promise for improved health status, although it needs to be replicated with a larger group and longer follow up.
Convergent recombination shapes the clonotypic landscape of the naive T cell repertoire
Venue: Proceedings of the National Academy of Sciences
Year: 2010

Adaptive T cell immunity relies on the recruitment of antigen specific clonotypes, each defined by the expression of a distinct T cell receptor (TCR) from an array of naive T cell precursors. Despite the enormous clonotypic diversity that resides within the naive T cell pool, interindividual sharing of TCR sequences has been observed within mobilized T cell responses specific for certain peptide major histocompatibility complex (pMHC) antigens. The mechanisms that underlie this phenomenon have not been fully elucidated, however. A mechanism of convergent recombination has been proposed to account for the occurrence of shared, or "public," TCRs in specific memory T cell populations. According to this model, TCR sharing between individuals is directly related to TCR production frequency; this, in turn, is determined on a probabilistic basis by the relative generation efficiency of particular nucleotide and amino acid sequences during the recombination process. Here, we tested the key predictions of convergent recombination in a comprehensive evaluation of the naive CD8+ TCRb repertoire in mice. Within defined segments of the naive CD8+ T cell repertoire, TCRb sequences with convergent features were (i) present at higher copy numbers within individual mice and (ii) shared between individual mice. Thus, the naive CD8+ T cell repertoire is not flat, but comprises a hierarchy of recurrence rates for individual clonotypes that is determined by relative production frequencies. These findings provide a framework for understanding the early mobilization of public CD8+ T cell clonotypes, which can exert profound biological effects during acute infectious processes.
Grid functions of nonstandard analysis in the theory of distributions and in partial differential equations
Venue: Advances in Mathematics
Year: 2019

We introduce the space of grid functions, a space of generalized functions of nonstandard analysis that provides a coherent generalization both of the space of distributions and of the space of Young measures. We will show that in the space of grid functions it is possible to formulate problems from many areas of functional analysis in a way that coherently generalizes the standard approaches. As an example, we discuss some applications of grid functions to the calculus of variations and to the nonlinear theory of distributions. Applications to nonlinear partial differential equations will be discussed in a subsequent paper.
Maize/faba bean intercropping with rhizobial inoculation in a reclaimed desert soil enhances productivity and symbiotic N2 fixation and reduces apparent N losses
Year: 2021

Although intensive modern agriculture, featured with high inputs of chemicals, contributed to global food production, simultaneously caused a series of serious issues, such as loss of biodiversity, soil degradation, and environment risk. The objective of our study is to integrate various inherit biological potentials of cropping system to gain higher productivity with lower external inputs. Field experiments were conducted over a two year period (2008 2009) with five fertilizer N application rates (0, 75, 150, 225 and 300 kg N ha 1) to study the influence of fertilizer N application on the productivity and N utilization of a Rhizobium inoculated maize (Zea mays L./faba bean (Vicia faba L. intercropping system on a reclaimed desert soil (Sierozems) Average grain yields of faba bean and maize with inoculation increased by 50.0 and 19.6 respectively, and reached a maximum land equivalent ratio of 1.78 with zero fertilizer N application in 2009 compared with sole crops. The nodulation of intercropped faba bean was significantly higher with Rhizobium inoculation, especially with an optimum N application rate of 1. Furthermore, intercropping with rhizobium inoculation saved more fertilizer N than that without rhizobium inoculation. After the faba bean harvest, intercropped maize made better use of the nitrogen taken up to grow faster than sole maize. At the maize harvest the intercropping system showed higher grain yield and N acquisition in the aboveground parts and lower Nmin accumulation in the soil profile, an effect that declined with fertilizer N application. The results therefore indicate that Rhizobium inoculated maize/faba bean intercropping on the reclaimed desert soil with a moderate fertilizer N application rate enhancede productivity, biological N2 fixation and apparent N recovery with lower environmental risk.
Severe Cenani Lenz syndrome caused by loss of LRP4 function
Venue: American journal of medical genetics. Part A
Year: 2013

Limb patterning and growth are complex embryonic processes in which the elaborately orchestrated interplay of diverse endocrine and paracrine factors is crucial to limb integrity. LRP4 is a lipoprotein receptor known for its regulatory effects on LRP5 and LRP6 mediated Wnt signaling, a pathway that plays a pivotal role in limb development. Recessive mutations in LRP4 have been shown to cause Cenani Lenz syndrome, which is characterized by severe limb malformations, an unusual face, and renal abnormalities. We report on a child with severe Cenani Lenz syndrome caused by a novel homozygous nonsense mutation in LRP4. The severity of the phenotype in a patient with absent residual LRP4 function may point to a genotype phenotype correlation.
Attitudes and preferences towards future old age support amongst tomorrow's elders in China
Year: 2020

The life course experiences of those born in China from the late 1950s to early 1970s have been very different to those of their predecessors; they may not be able to, or wish to, rely on their family for support in later life in the future.  We investigated the attitudes towards current provision of old age support and preferences for their future old age living arrangements amongst individuals aged 40 55, representing the next generation of China's older people.  Using data from the 2013 Chinese Household Finance Survey, we made multi variate analyses focussed on understanding the roles of family structure, socioeconomic status, and current patterns of intergenerational support in shaping attitudes and preferences towards old age support among today's mid lifers.  Attitudes and preferences towards old age support are shaped by relations within the family, which in turn are affected by broader historical and contemporary social, economic, and cultural conditions. Specifically, the number of children, having a son, Hukou status, and education influence people's attitudes and preferences. The results also point to important gender and cohort differences. One unexpected finding is that around a quarter of Chinese mid life women living in urban areas and with just one adult child are actively considering the option of institutional care for their own old age, highlighting that social norms around care in later life are shifting.  This study advances understanding of how decisions in old age care relate to individuals' life course and to changing family structures in China.
Family size, birth order, and tests of the quantity quality model
Year: 2017

Recent empirical studies challenge the quantity quality (Q Q) trade off of children modeled by Becker and Lewis. In the ordinary least squares (OLS) estimates, the effect of family size on child outcomes is frequently estimated with birth order controls. In a group of instrumental variable (IV) estimates, the family size effect is estimated only for low parity children. We show that existing studies using the above two specifications do not identify the family size effect on average child quality and do not contradict the Becker Lewis Q Q theory.