Miracle-dz/UniFAR-FTUs huggingface dataset:
Investigation and Utilization of Molybdenum Disulfide as Decoupling Layer on Au(111)

This thesis describes the investigation of the MoS2/Au(111) interface and its decoupling properties for molecular adsorbates by means of scanning tunneling microscopy (STM) and atomic force microscopy (AFM). In the first part, we grow single-layer MoS2 on a Au(111) substrate and investigate its structural and electronic properties. Using STM and AFM, we can distinguish between three different sites of the MoS2/Au(111) moiré pattern and assign each of them to a certain stacking pattern of the MoS2/Au(111) interface. We observe a certain orientation of the MoS2 islands with respect to the underlying Au layers. The electronic properties are probed by scanning tunneling spectroscopy (STS). These spectra reveal a strong hybridization of MoS2 with the Au(111) surface with the most pronounced effect occurring at the Γ̄ point of the valence band. By measuring the decay constant of the tunneling current, we find an unoccupied state of MoS2 around the Γ̄ point 0.4 eV above the conduction band minimum. This state occurs most probably due to the MoS2/Au(111) interface. Under certain growth conditions, we can produce nanometer-sized vacancy islands below the MoS2. Here, the hybridization with the Au(111) substrate is lifted, causing a patch of nearly unperturbed single-layer MoS2. In combination with electroluminescence measurements we find a vanishing density of state within the electronic band gap of quasi freestanding MoS2. In the second part 2,5-bis(3-dodecylthiophen-2-yl)thieno[3,2-b]-thiophene (BTTT) molecules are deposited on the MoS2/Au(111) sample and investigated by STS measurements. We observe excellent decoupling properties of MoS2 yielding an energy resolution of less then 6 meV. This allows us to resolve a variety of vibronic states in the positive ion resonance (PIR) of BTTT. These vibronic fingerprints enable us to distinguish between rotational isomers of the BTTT molecule, which differ by the rotation of a single thienothiophene group. Density functional theory (DFT) calculations are performed, which fully reproduce the observed vibronic spectra in accordance to the Franck-Condon principle. In the last section, we utilize the high energy resolution to investigate the perturbation potential of different STM tips, acting on the electronic states of the delocalized BTTT molecule. The effect of the inhomogeneous potential distribution in the junction is qualitatively reproduced by a simple electrostatic model of the double barrier junction. By comparing the energy shift of elastic and inelastic resonances of the PIR, we are able to disentangle the perturbation potential of a dipolar tip and the applied voltage.
Cognitive Aspects of Relative Clause Production In Oral and Written Narratives

The present study aims to investigate relative clause production in Chinese and English from a cognitivefunction approach that explores underlying cognitive, semantic, and discourse-pragmatic factors operative in discourse processing. With this approach we are able to account for both general and specific distributional patterns of RCs between the two languages on the one hand and between speech and writing on the other, using narrative data elicited from native speakers of both languages.
On the Statistical Distribution of Packets Service Time in Cellular Access Networks

A cellular communication system is divided into two main parts, core network, and radio access network. This research is concerned with the radio access network part which consists of multiple-cells, each served by a central located base station. Furthermore, the users in each cell are considered to be uniformly distributed inside the cell. In the downlink context, the users’ packets usually arrive at the base station via fiber optic and then are relayed to the users via radio waves of certain frequency/ies. The speeds of delivering users’ packets vary, depending on the users’ location. In this paper, the actual distribution of the service time over different users whose locations are uniformly distributed in a cell served by one base station is analytically found. Simulation results are presented to validate the derived model.
High Prevalence of Erythromycin- and Tetracycline-Resistant Clinical Isolates of Streptococcus pneumoniae in Iran

BackgroundWith respect to clinical burden of pneumococcal infections and the role of erythromycin in the treatment of these infections, this study was performed to characterize phenotypic and genotypic patterns of erythromycin resistance and distribution of tetracycline resistance genes among clinical isolates of Streptococcus pneumoniae. MethodsClinical isolates of S. pneumoniae were collected from 15 hospital and clinical laboratories in Tehran for 1 year during 2011. Identification was confirmed by biochemical and molecular tests. Erythromycin- and tetracycline-resistant isolates were selected by standard disc diffusion method. Minimal inhibitory concentration was determined by E-test method for erythromycin. Erythromycin resistance phenotype was determined by double-disc test. Finally, 3 erythromycin resistance genes were detected by a multiplex polymerase chain reaction (PCR) for erm(A), erm(B), and mef(A/E), then 4 tetracycline resistance genes were detected by multiplex PCR with the specific primers for tet(M), tet(O), tet(K), and tet(L). ResultsA total of 88 pneumococcal isolates were collected from clinical samples. Fifty-two percent of the isolates were found to be resistant to erythromycin, and 62%, to tetracycline by disc diffusion method. E-test method showed that the minimal inhibitory concentration ranges of the isolates were from 2 up to greater than 256 &mgr;g/mL. Erythromycin-clindamycin double-disc test exhibited that 79% of resistant isolates were constitutive MLS (cMLS) phenotype, and the remaining isolates were M phenotype. erm(B)and mef(A/E) genes were detected in all cMLS and M phenotypes, respectively, by multiplex PCR. Six isolates were double positive for mef(A/E)and erm(B)genes. Eighty-five percent of erythromycin-resistant isolates were resistant to tetracycline as well, and only tet(M) genes were detected in these isolates. ConclusionsTo the best of our knowledge as a first report about the phenotypes and genotypes of erythromycin resistance in clinical pneumococci isolates in Iran, the high prevalence of erythromycin resistance with predominant cMLS phenotype together with coresistance to tetracycline can be alarming and need more attentions in Iran. It seems necessary to design a national multicenter study to characterize macrolide-resistant pneumococci in various geographical areas of Iran and determine if either these resistant isolates belong to the dominant serotypes and clones or not.
Humanistic HRM and Perceived HR Outcomes: Evidence from South Korea

❙ABSTRACT This study investigates the impact of the humanistic human resources management (HHRM) on the perceived human resources outcome. Despite of debate on humanistic management, the concept of humanistic HRM still remain open. The HHRM can be defined as a subsystem of the humanistic management orienting to the human virtue, in all its forms, to its fullest extent. As I emphasize ‘self-fulfillment’ among numerous human virtues, the research focus is put on the HR practices supporting self-fulfillment such as competency-building and participation. The humanistic HRM has unique nature distinguished from the prevailing strategic HRM(SHRM). Although both of them take commonly a people-first approach, the humanistic HRM oriented human itself differs from the strategic HRM focusing on competent talent with business goal orientation. And thus the HHRM put more emphasis on employee involvement and participation developing HR tools, while the SHRM do on building vocational competency. In the view of the HHRM, I empirically examine the linkage between the humanistic HR practices and the perceived HR outcomes. The HR outcomes, measured by employers’ perception, involve the increase in vocational competency, labor productivity, work morale and employee retention. The empirical evidence shows that the humanistic HRM is positively associated with the HR outcomes. In particular, the participatory arrangemente.g. MBO, TQM, EI(employee involvement) programs, suggestion box, etc.-has stronger impact on increase in the HR outcomes than the competency building support such as training and development program. It infers that the modern management is called for combining the humanistic approach in the view of business Humanistic HRM and Perceived HR Outcomes: Evidence from South Korea
Questionnaire Design And Validation For Temple Mobile Application

Cultural tourism in Indonesia requires more attention to attract younger generation visitors. For example, temples (candi) in East Java, Indonesia, are not popular destination for youngsters considering there is lack of information, attraction, and promotion. This research will focus on this problem by designing a mobile application that will provide interesting information about the temples in East Java. To ensure high utilization, the applications development must be started with capturing the user needs, and ended with the usability test. For these purposes, this research designs the suitable questionnaires as data collection tools. The design process must consider the young generations’ preference of contact method and jargon so that it can be easily understood by respondent within the age range of 17 – 27 years old. Two questionnaires are designed as the result of this research namely customer needs questionnaire and usability testing questionnaire. This research also identified the variable that will be tested in usability testing, to check the user friendly-ness of the mobile application. The validity and reliability of the 17 questions has been tested and found to be both valid and reliable so the questionnaires’ results can be used for the mobile application development process.
Expression of microRNA-214 and galectin-3 in peripheral blood of patients with chronic heart failure and its clinical significance

Expression of microRNA (miR)-214 and galectin-3 (Gal-3) in peripheral blood of patients with chronic heart failure (CHF) and its clinical significance were investigated. A total of 50 cases of CHF patients, diagnosed and treated in Shanghai Xuhui Central Hospital from January 2017 to March 2018, were the study group and 30 healthy subjects who underwent physical examination during the same period were the control group. Concentration of serum Gal-3 was detected by ELISA and the expression of miR-214 in serum was detected by RT-qPCR. The expression of miR-214 and Gal-3 in the peripheral blood of CHF patients were analyzed. The diagnostic and predictive values of efficacy were analyzed by ROC curve analysis, and the correlation between miR-214 and Gal-3 was analyzed by Pearson's correlation analysis. The serum expression levels of miR-214 and Gal-3 in the observation group were significantly higher than those in the control group, with statistically significant difference (P<0.05). Pearson's correlation analysis revealed that the expression levels of miR-214 and Gal-3 were positively correlated in the peripheral blood of CHF patients (r=0.712, P<0.05). The area under curve (AUC) of miR-214 and Gal-3 for CHF diagnosis was 0.916 and 0.852, respectively (P<0.05). The AUC for predicting the efficacy of miR-214 and Gal-3 was 0.874 and 0.897, respectively (P<0.05). In conclusion, it is speculated that miR-214 and Gal-3 are involved in the occurrence and development of CHF, which is of guiding significance for the clinical diagnosis and monitoring of CHF.
Effects of Video Compression formats on Neural Network Performance

The field of autonomous vehicles and driverless cars is a field which makes extensive use of machine learning and artificial intelligence, relying on it to make decisions. These decisions require a vast amount of data in order to be properly inferred. This data is often in the form of images from a video feed and an increase in the amount of data is directly correlated to more refined decision making. What if you could remove certain parts of the data by compressing the image input, and how would that influence the performance of the different machine learning algorithms? In this report we have two datasets that we compress in different ways. We then analyze the results of running a pre-trained neural network model on them, and compare it’s performance to that of running the same neural network model on the non-compressed datasets. The results show that the removal of data via compression is not in a linear relationship with neural network performance, and that depending on the compression type, results may be favorable or unfavorable.
Conceptualising a visual representation model for MOOC-based blended learning designs

The authors would like to thank all the participants of the workshops. This work has been partially funded by “la Caixa Foundation” (CoT project, 100010434) and FEDER, the National Research Agency of the Spanish Ministry of Science, Innovations and Universities MDM-2015-0502, TIN2014-53199-C3-3-R, TIN2017-85179-C3-3-R. Davinia Hernandez-Leo (one of the authors) is a Serra Hunter Fellow.
Embracing AI and Big Data in customer journey mapping: from literature review to a theoretical framework

Nowadays, Big Data and Artificial Intelligence (AI) play an important role in different functional areas of marketing. Starting from this assumption, the main objective of this theoretical paper is to better understand the relationship between Big Data, AI, and customer journey mapping. For this purpose, the authors revised the extant literature on the impact of Big Data and AI on marketing practices to illustrate how such data analytics tools can increase the marketing performance and reduce the complexity of the pattern of consumer activity. The results of this research offer some interesting ideas for marketing managers. The proposed Big Data and AI framework to explore and manage the customer journey illustrates how the combined use of Big Data and AI analytics tools can offer effective support to decision-making systems and reduce the risk of bad marketing decision. Specifically, the authors suggest ten main areas of application of Big Data and AI technologies concerning the customer journey mapping. Each one supports a specific task, such as (1) customer profiling; (2) promotion strategy; (3) client acquisition; (4) ad targeting; (5) demand forecasting; (6) pricing strategy; (7) purchase history; (8) predictive analytics; (9) monitor consumer sentiments; and (10) customer relationship management (CRM) activities.
Continuous and autonomous snow water equivalent measurements by a cosmic ray sensor on an alpine glacier

Abstract. Snow water equivalent (SWE) measurements of seasonal snowpack are crucial in many research fields. Yet accurate measurements at a high temporal resolution are difficult to obtain in high mountain regions. With a cosmic ray sensor (CRS), SWE can be inferred from neutron counts. We present the analyses of temporally continuous SWE measurements by a CRS on an alpine glacier in Switzerland (Glacier de la Plaine Morte) over two winter seasons (2016/17 and 2017/18), which differed markedly in the amount and timing of snow accumulation. By combining SWE with snow depth measurements, we calculate the daily mean density of the snowpack. Compared to manual field observations from snow pits, the autonomous measurements overestimate SWE by +2 % ± 13 %. Snow depth and the bulk snow density deviate from the manual measurements by ± 6 % and ± 9 %, respectively. The CRS measured with high reliability over two winter seasons and is thus considered a promising method to observe SWE at remote alpine sites. We use the daily observations to classify winter season days into those dominated by accumulation (solid precipitation, snow drift), ablation (snow drift, snowmelt) or snow densification. For each of these process-dominated days the prevailing meteorological conditions are distinct. The continuous SWE measurements were also used to define a scaling factor for precipitation amounts from nearby meteorological stations. With this analysis, we show that a best-possible constant scaling factor results in cumulative precipitation amounts that differ by a mean absolute error of less than 80 mm w.e. from snow accumulation at this site.
Evaluation of Demographic and Socio-economic Factors of Mortality in the South Moravian Region (Czech Republic)

The main objectives of the article were: a comparison of the demographic and SE indicators in the South Moravian Region, a study of the development of demographic and SE indicators in the South Moravian Region in the years 2006–2015 and the clustering of similar districts on the basis of demographic and SE indicators as well as mortality and its main causes. The set of aspects affecting the structure of mortality represented 12 demographic factors and 2 socio-economic factors. The results of the composite indicator and the beta convergence indicate that the positive development of the analysed factors was mainly achieved by the Vyskov District and the Brno-Country District, while negative development was observed in the Břeclav District. The cluster analysis was based on four clusters: cluster 1 (Břeclav, Hodonin and Znojmo districts) showed below-average values of the demographic and the socio-economic indicators with a relatively favourable mortality rate based on causes of death; cluster 2 (Blansko and Vyskov districts) was classified as average; cluster 3 (mainly including the Brno-Country District) was seen as the best and cluster 4 (mainly including the Brno-City district) was observed to have negative development.
Endangered Species Research 37:37

The ability of baited remote underwater video (BRUV) landers to attract and identify individual flapper skates Dipturus intermedius based on their spot patterns was tested within the Loch Sunart to Sound of Jura Marine Protected Area (MPA). Two BRUV lander designs, baited with a mix of mackerel, herring, squid and octopus, were deployed in 9 different locations at depths between 105 and 133 m for approx. 2 h per deployment. The BRUV successfully obtained video footage and still images of flapper skates during 4 deployments. On 6 occasions, skates remained at the bait long enough for us to obtain high-quality video of their dorsal spot patterns. Five individuals, one of which was observed at 2 adjacent landers in quick succession, were all uniquely distinguishable; one female was matched to existing records in a photo-identification catalogue based on images collected by recreational sea anglers within the MPA. BRUVs offer significant potential for studying individual presence, distribution patterns and abundance of flapper skates, independent of fishing/angling efforts. BRUV landers can therefore support monitoring efforts for evaluating long-term conservation management measures for this species.
The impact of resistance training with different rest intervals on plasma levels of inflammatory markers in sedentary men

The aim of this study was to investigate the effect of different rest intervals between two types of 8 week’s resistance training with the same volume and intensity of serum levels of homocysteine and CRP In Sedentary Men. Thirty untrained subjects who voluntarily participated in this study were randomly divided into two groups: resistance training with 90 seconds rest intervalsbetween sets (n = 10), resistance training with 180 seconds rest intervalsbetween sets (n = 10) and control group (n=10). The training programs included 8 exercises, which were performed with 50% of one repetition maximum in the first session and with 85% of one repetition maximum on the last session and in 8-12 repetitions in 3 sets. Before and after 8 weeks training period blood sampling carried out. Independent and paired t-tests were used to analyze data in a meaningful level (p<0.05). Results showed that There is statistically significant reduction in CRP homocysteine levels after 8 weeks of resistance training with different rest intervals in the experimental group compared to the control group (p<0.05). In general, we can say that the difference between rest periods in resistance training can be an important factor in changes in serum levels of homocysteine and CRP are important.
A general framework for combining

26 When making predictions about ecosystems, we often have available a number of 27 different ecosystem models that attempt to represent their dynamics in a detailed 28 mechanistic way. Each of these can be used as a simulator of large-scale experiments 29 and make projections about the fate of ecosystems under different scenarios in or30 der to support the development of appropriate management strategies. However, 31 structural differences, systematic discrepancies and uncertainties lead to different 32 models giving different predictions. This is further complicated by the fact that the 33 models may not be run with the same functional groups, spatial structure or time 34 scale. Rather than simply trying to select a ‘best’ model, or taking some weighted 35 average, it is important to exploit the strengths of each of the models, while learn36 ing from the differences between them. To achieve this, we construct a flexible 37 statistical model of the relationships between a collection of mechanistic models 38 2 and their biases, allowing for structural and parameter uncertainty and for differ39 ent ways of representing reality. Using this statistical meta-model, we can combine 40 prior beliefs, model estimates and direct observations using Bayesian methods, and 41 make coherent predictions of future outcomes under different scenarios with robust 42 measures of uncertainty. In this paper we take a diverse ensemble of existing North 43 Sea ecosystem models and demonstrate the utility of our framework by applying it 44 to answer the question what would have happened to demersal fish if fishing was 45 to stop. 46 Key-words: Bayesian statistics, Complex models, Multi-model ensemble, Multi47 species models, Simulation models, Uncertainty analysis 48 49
Effect of Nursing Teaching Guidelines Among Patients with Cirrhosis on Their Knowledge Regarding Minimizing Hepatic Encephalopathy

Background: Hepatic encephalopathy is a neuropsychiatric complication associated with liver cirrhosis. It occurs in up to 80% of patients with cirrhosis. Aim: To evaluate effect of nursing teaching guidelines on patients' knowledge regarding minimizing hepatic encephalopathy. Research design: Pre/post-test research design was utilized. Setting The study was conducted at Tropical Medicine and Gastroenterology department at El - Rajhi liver Hospital. Subjects and Methods: Thirty adult patients with liver cirrhosis. Tool: Structured interview questionnaire was utilized for data collection with three parts (sociodemographic, medical data and pre/post knowledge questionnaire). Results: The present study revealed that there was a highly statistically significant difference in the level of knowledge before, immediately post and after three months from application of nursing teaching guidelines. There was no statistically significant relation was documented between patient's knowledge and occurrence of hepatic encephalopathy, ascites and bleeding after three months from application of nursing teaching guidelines. Conclusion: It was concluded that level of knowledge regarding minimizing hepatic encephalopathy was improved after application of the nursing teaching guidelines. Recommendations: A written teaching guidelines hand book in simplified term should be available and distributed for cirrhotic patients about preventive measures of hepatic encephalopathy.