Miracle-dz/UniFAR-FTUs huggingface dataset:
Forecasting tourist arrivals in Greece and the impact of macroeconomic shocks from the countries of tourists' origin

This paper generates short-term forecasts on tourist arrivals in Greece and performs impulse response analysis to measure the impact of macroeconomic shocks from the origin country on future tourism demand. We find the ARIMA (1, 1, 1) model outperforms exponential smoothing models in forecasting the direction of one year out of sample forecasts. However, this does not translate into point forecasting accuracy. Impulse response analysis on the impact of unemployment and tourists’ cost of living shocks shows that the source of downside risk to future tourism numbers is limited in scope, magnitude, and duration. Shocks to consumer confidence from the origin countries have no impact on future tourism demand. Our results offer important insights and implications for policymakers and tourist operators.
Long Short-term Memory Neural Network for Short-term High-speed Rail Passenger Flow Forecasting

The uncertainty of estimating the railway passenger flow in advance may disrupt the passenger operation and management (e.g., passenger evacuation planning, seat allocation, and train timetable programming). In order to proactively improve the service quality and efficiency of the railway system, the short-term passenger flow prediction technique is vital in the field of operation and management system. Utilizing the deep learning library-Keras, the study develops a long short-term memory neural network (LSTM NN) to predict the short-term high-speed rail (HSR) passenger flow. Processing the raw data, we first construct the passenger flow sequences as the input (output) variables. Then the gird search and cross validation techniques are applied to optimize the LSTM NN parameters. At last we utilize the data provided by Shanghai railway administration of China as the case study. Through a comparison with other representative methods, including Auto-Regressive Integrated Moving Average (ARIMA), Back Propagation Neural Network (BPNN), and Support Vector Machine Regression (SVR), results suggest that the proposed LSTM NN can generate great potentials for accurate passenger flow predictions.
Differentiation between Aroma-Related Bioactives in Native Cold-Pressed Rapeseed Oils with Desired Sensory Attributes and with a Fusty/Musty Off-Flavor Using Multivariate Methods

A systematic quantitation of selected odorants using stable isotope dilution analysis (SIDA) was performed in six native cold-pressed rapeseed oils with desired retention of bioactives and desired sensorial attributes (“positive controls”, PCs), in nine native cold-pressed rapeseed oils eliciting a fusty/musty off-flavor (OFs), and in two rapeseed samples, from which two of the nine fusty/musty OFs were pressed. These data were used as basis to find marker compounds for the fusty/musty off-flavor by means of multivariate methods. Obtained data clustered pairwise in a heatmap clearly showed that all PCs and OFs were very similar to each other in their own group concerning the selected compounds, but different to each other. Additionally, data were statistically evaluated using principal component analysis (PCA). Based on selected compounds, a high accordance of PCs, in parallel to a clear discrimination to the group of fusty/musty OFs and to the two rapeseed samples, was achieved. In a biplot, compounds with the highest differences between the two oil groups were identified as 4-methylphenol, 3-methylbutanoic acid, 2-phenylethanol, 2-ethyl-3,6-dimethylpyrazine, and 2-methylbutanoic acid. Thus, these compounds can be seen as marker compounds for the fusty/musty OFs and the seeds and can, therefore, serve for quality control of the raw material within a quick routine method.
Nonlinear Analysis: Modelling and Control, Vilnius, IMI, 1998, No 3 SYMBOLIC APPROXIMATION FOR COMPUTER VISION

The need for a definition of discrete convergence in matching problems, which are essential in computer vision, is described and the fundamental properties of Scott lattice theory are outlined. Three data types: relational graphs, graph match_table and constraints, are considered and partial orderings are exhibited for them. A matching iteration consistent with the theory is sketched.
Pressure Regulation in Proton Exchange Membrane Fuel Cell using Direct Active Fuzzy Non-Linear Controller

A Direct Active Fuzzy Nonlinear Controller (DAFNLC) has been designed to control the pressures of supplied reactants to both Cathode and Anode of a Proton Exchange Membrane Fuel Cell (PEMFC). This controller also ensures that the pressure difference across the membrane is maintained within the prescribed limit in order to improve the life of PEMFC. A control oriented Multi input-Multi output model in the state space has been used for PEMFC. An integral controller in association with a state feedback is employed which is termed as Non-linear controller. A Fuzzy Logic component has been used to fix the gains of both integral and state feedback controller modes and thereby the controller is named as DAFNLC. It is a well-known fact that the irregular supply of reactants to both the Anode and Cathode sides of the PEMFC and large pressure difference across the membrane will eventually lead to decreased life time of the Fuel cell. Hence, it is aimed in this paper to develop and deploy an efficient control strategy which will increase the longevity of the Fuel cell by maintaining the reactant flows to both cathode and anode sides and the pressure difference across the membrane at the desired value, irrespective of the fixed and changing load conditions. The simulation experiments have been performed in MATLAB-SIMULINK environment and the obtained results have proven that the proposed DAFNLC performs much better than the controllers used in the earlier research published works.
Nonparametric Wavelet Quantile Density Estimation Based on the Biased Data

The estimation of a quantile density function in the biased nonparametric regression model is investigated. We propose and develop a new waveletbased methodology for this problem. In particular, an adaptive hard thresholding wavelet estimator is constructed. Under mild assumptions on the model, we prove that it enjoys powerful mean integrated squared error properties over Besov balls. The performance of the proposed estimator is investigated by a numerical study.
THE DETERMINANTS OF CUSTOMER LOYALTY IN SHARIA BANK IN JAMBI WITH ISLAMIC APPROACH

This study aimed to determine the direct effect between customer perceived value (CPV), trust towards satisfaction on customer of sharia banks in Jambi province. The development of Sharia banking in Jambi is quite slow compared to other provinces in Sumatra Island. This research was conducted in Jambi Province. The design of this study used a quantitative method with a survey approach to obtain primary data, namely by distributing questionnaires to 140 customers in six Sharia commercial banks in Jambi province by using purposive sampling method in determining the sample. Determination of the minimum sample size in this study refers to the statement of Hair et al. Then the quantitative data was processed using Structural Equation Model (SEM) with SmartPLS 3 software. The findings of this study found that an exogenous latent variable Customer Perceived Value affects customer trust and satisfaction. This research was expected to make practical contributions to the management of Sharia banks and related parties as information to determine the marketing strategy of Sharia bank products in Jambi province, in effort to increase customer satisfaction of sharia banks in Jambi province
Changes in the Ripening Characteristics and Shelf Life of Mango Fruits as Related to the Application of Coating Based on Cocoa Leaf Extracts

The influence of edible coatings based on cocoa leaf extracts on the ripening of ''Belle-Dame'' mangoes has been evaluated, to contribute to the improvement of the shelf life of these fruits after harvest. There were overall treatment-independent decreases in the firmness and chlorophylls levels, and increases in total soluble solids content, water content, physiological weight loss and βcarotene concentration during the ripening of mango fruits. These variations were very rapid in control fruits, reflecting an accelerated ripening process that led to the senescence of these fruits from day 9 after harvest onwards. In treated fruits, variations of different parameters were slow with significant differences between the treated fruits and controls. These inhibitory effects of coatings resulted in a delay of the ripening process and consequently to a shift of the onset of senescence to 12 days after harvest. In addition to the extension of shelf life by three days, treatments of mango Original Research Article Ovaric et al.; JABB, 22(4): 1-13, 2019; Article no.JABB. 53278 2 fruits by dipping them in solutions containing cocoa leaf extracts induced a higher accumulation of β-carotene in coated fruits as compared to controls, thereby enhancing the nutritional value of the former.
The differences between benign mixed tumor and papillary cystadenoma lymphomatosum in proliferative, apoptotic, and antiapoptotic activity

Background: The majority of salivary glands tumors are benign mixed tumors. The present study was aimed to evaluate the differences between benign mixed salivary glands tumor and papillary cystadenoma lymphomatosum regarding the tumor cell proliferation rate, apoptotic and antiapoptotic activities. Methods: The study was performed on archived paraffin-embedded salivary glands tissue of 23 benign mixed tumor and five cystadenoma lymphomatosum. Sections were stained with hematoxylin and eosin and cases with definite diagnosis were selected for immunohistochemistry. The immunoreactivity was assessed in areas of highest positivity regarding Ki-67, P53 and bcl-2. Results: Benign mixed tumor and papillary cystadenoma lymphomatosum showed negative immune expression for Ki-67. The P53 immune staining in benign mixed tumor appeared negative while the papillary cystadenoma lymphomatosum appeared with a mild positive staining. The bcl-2 immune expression in benign mixed tumor was moderately positive while the papillary cystadenoma lymphomatosum was mildly positive. Conclusion: The benign mixed tumors showed significantly more Ki-67 and bcl-2 immune labeling indexes than papillary cystadenoma lymphomatosum, but the P53 immune expression was less (P<0.05). This indicated that the P53 expression was not correlated with the Ki-67 or bcl-2 over expression.
Association of anaemia with oxidized tea drinking in affluent Pakistani female university students

Background: Tea intake ranks as a major beverage globally. It has positive as well as negative impact on human health. There are many dietary factors in apparently healthy women to be anaemic and worsening the anaemic conditions. The present study aimed at prevalence of anaemia, its association with tea intake and comparison of the observed values with cut-off set by WHO. Methods: It was a cross-sectional, case control study. A questionnaire for survey was distributed among 17−25 year old single and/or unmarried girl students after informed consent. Subjects suffering from any disease or on medication/minerals/vitamins were excluded. Blood samples were collected and analysed for complete blood count, and haematological indices. Anthropometric indicators were recorded. Data were analysed on SPSS-21. Results were tabulated as Mean±SD. Paired t-test was applied to compare data parameters and p<0.05 was taken as statistically significant. Results: The overall prevalence of anaemia was observed 80.77%, Haemoglobin and Red blood cells count (RBCs) were found less in tea drinkers (TDs) (10.84±1.34 g/dl 4.09±0.32 million/mm3 respectively) as compared to Non tea drinkers (NTDs) (11.08±0.88 g/dl, 4.11±0.36 million/mm3 respectively), Mean corpuscular volume (MCV) was significantly lower in TDs (78.87±7.10 µm3), as compared to NTDs (82.63±7.91 µm3), (p=0.03.). The study could not find the significant difference in white blood cell count (WBCs) and anthropometric indices in aforementioned groups. Conclusion: Anaemia prevails among girls in our region and tea drinking is associated with its worsening. Pak J Physiol 2019;15(3):63−6
Evaluation of Different Treatment Regimens for Relapsed and Refractory NHL: Single Institute Experience

Background and Aim: The treatment of choice for relapsed or refractory Non-Hodgkin Lymphoma (NHL) mainly, is High dose chemotherapy with autologous stem cell transplantation. However, its use is mostly restricted to patients responding to salvage chemotherapy. In this study, our aim was to evaluate outcome and toxicity of different treatment modalities of relapsed and refractory NHL. Patient and Methods: This retrospective study included 217 patients were diagnosed as refractory or relapsed NHL. Those patients received different treatment modalities as GDP (Gemcitabine, dexamethasone, cisplatin), DHAP (Dexamethasone, Cytarabine, and Cisplatin), MINE (Mitoxantrone, ifosfamide, etoposide and mesna), CHOP (Cyclophosphamide, Doxorubicin, Vincristine and Prednisone), and CVP (Cyclophosphamide, vincristine and prednisone). Results: The median age of patients in the study was 50 years. Patients who received DHAP showed ORR of 62%, which was the highest response. The most common adverse effects were hematological which were more noticed in patients, received CHOP. Sixty one patients (54.5%) had anemia, 54 patients (48.2%) had neutropenia and 55 patients (49.1%) had thrombocytopenia, but the difference between the different lines of treatment wasn’t significant p value of 0.95. The median time to relapse is 10 months and the median survival time is 40 months. The 3-year PFS rates of all patients were 49.3%, while the 3 year OS rates were 54.8%. Conclusion: The overall and PFS didn’t show any difference between different lines of treatment.
Methods for Early Detection of Microbiological Infestation of Buildings Based on Gas Sensor Technologies

In this review, the problem of microbiological infestation of buildings was discussed. The techniques of detection were described as well, with special attention drawn to the rapid-early detection methods based on gas sensor arrays. The physical and chemical conditions of the building environment conducive to the development of microorganisms and the technical conditions influencing the problem of microbiological infestation were investigated. Additionally, the harmful effects on human health caused by the microbiological contamination were discussed, with a short review of particular groups of microorganisms causing sick building syndrome. Among the detection techniques, the traditional microbiological techniques as well as the molecular and chemical methods were presented. Different designs of the gas sensor arrays together with the various techniques of analyzing the received multidimensional signal were described, analyzed, and compared in detail.
Mobile Banking Technology in Ethiopia: Adoption and implication for Financial Service Inclusion

The purpose of this study is to investigate the perceived factors that hinder mobile banking adoption by using a survey data and forecast its adoption rate using a secondary data from the National Bank of Ethiopia. The survey data was collected randomly from 100 respondents who have bank account and visits the bank in March 2018 and the secondary data time span was from 2010 to 2018. To realize the objective, the study adopts innovation diffusion theory and structural equation modelling for adoption. The study result reveals that, the perceived relative advantage of mobile banking, the perceived complexity of mobile banking usage, observability, trialability, perceived analog complement and trust on provider of mobile banking services, are found to be significant in influencing the decision to adopt mobile banking technology in Ethiopia. In addition, the forecasted cumulative mobile banking users for the coming seven years i.e. by 2025 will be 2.3 million users with 1.27% penetration rate. Some of the policy implications are that; banks (both public plus private) has to promote and create awareness via explaining relative advantage of mobile banking adoption compared to other banking channels, create trust building campaign on mobile banking providers, improves analog complement such as mobile phone service language, and other regulations. Lastly, the concerned body such as banking industry shall provide some incentive which favor mobile banking adoption, at least up to some minimum threshold level, which can sustain adoption rate and increase banking service inclusion for those who are traditionally banked and unbanked.
Toward a comprehensive measure of socio-cultural diversity: the case of Germany

The positive impact of socio-cultural diversity on innovation and economic prosperity has been widely discussed. Yet, there is a lack of a clear quantitative indicator of sociocultural diversity. Most empirical works are limited to small case studies that follow various methods. This gap in the literature calls for a comprehensive measure whereby researchers could assess and compare diversity across cities and regions at the national level. Building on a unique database of registered associations (in German: eingetragene Vereine), this study provides a hierarchical categorization of associations based on their field of activities. Applying the Shannon entropy index, the sociocultural diversity of German regions is measured. The findings indicate a disparity between East and West Germany, reflecting the path-dependent nature of historical events. This article sets an agenda for future research.
X X Table 1 : Comparisons of architecture search approaches for efficient models ( ProxylessNAS

We present an end-to-end design methodology for efficient deep learning deployment. Unlike previous methods that separately optimize the neural network architecture, pruning policy, and quantization policy, we jointly optimize them in an end-to-end manner. To deal with the larger design space it brings, we train a quantization-aware accuracy predictor that fed to the evolutionary search to select the best fit. We first generate a large dataset of 〈NN architecture, ImageNet accuracy〉 pairs without training each architecture, but by sampling a unified supernet. Then we use these data to train an accuracy predictor without quantization, further using predictor-transfer technique to get the quantization-aware predictor, which reduces the amount of post-quantization fine-tuning time. Extensive experiments on ImageNet show the benefits of the end-to-end methodology: it maintains the same accuracy (75.1%) as ResNet34 float model while saving 2.2× BitOps comparing with the 8-bit model; we obtain the same level accuracy as MobileNetV2+HAQ (Sandler et al., 2018; Wang et al., 2019) while achieving 2×/1.3× latency/energy saving; the end-to-end optimization outperforms separate optimizations using ProxylessNAS+AMC+HAQ (Cai et al., 2019b; He et al., 2018; Wang et al., 2019) by 2.3% accuracy while reducing orders of magnitude GPU hours and CO2 emission.
Performance assessment of capsule network on different application scenarios

Capsule networks are newborn deep neural networks that substitute traditional artificial neurons by vectors of them called ‘capsules’. This new entities are thought to allow systems to understand the instantiation parameters of objects and induce the construction of an abstracted geometry from them. Thus, capsules enable to achieve a deeper knowledge of the object whose extrapolation procures a further generalization. These new architectures have been compared to the traditional Convolutional Neural Networks (CNNs) on four different scenarios to study their performance. Three of this scenarios are the commonly used datasets: MNIST, CIFAR-10 and SmallNORB; while the other is a set of retinographies containing non-pathological cases and others presenting glaucoma. The goal is to determine whether any of these networks is viable for an early detection of glaucoma. In addition, there is a discussion about the capacity of the structures based on capsules considered to understand and reconstruct the input images.
Linking Sustainability-related Stakeholder Feedback to Corporate Sustainability Performance Hörisch, Jacob; Schaltegger, Stefan; Windolph,

Based on a dataset of large German companies, this paper investigates the link between corporate sustainability performance and sustainability-related feedback by stakeholders. In the analysis, no a priori link between sustainability performance and related stakeholder feedback can be observed. Using stakeholder theory as a theoretical underpinning, we therefore statistically investigate whether the application of stakeholder dialogues can help companies to link their sustainability performance to stakeholder feedback. We find that stakeholder dialogues indeed help to establish such a link, as companies which improve their sustainability performance and simultaneously communicate with stakeholders using stakeholder dialogues are most likely to experience a decrease in sustainability-related stakeholder criticism.
Detection and identification of a new isolate of Grapevine fanleaf Virus naturally infecting Grapevine plants in Egypt using qReal Time-PCR

Grapevine fanleaf virus (GFLV) is a member of the genus Nepovirus in the family Comoviridae, a widely distributed virus responsible for grapevine (Vitis vinifera) degeneration. This virus causes serious economic losses by reducing grape crop yield. The Quantitative Real-Time Reverse Transcription-Polymerase Chain Reaction (qReal Time-PCR) assay was carried out on (GFLV) recovered from infected grapevines leaves at Alexandria, Egypt. A 606 bp fragment of the GFLV RNA-2 coat protein (CP) gene was amplified and then sequenced. Results of reactions of diagnostic hosts were observed on Gomphrena globosa, which developed systemic mottling, leaves twisting and necrotic spots during spring, whereas Chenopodium amaranticolor induced systemic mottling and leaf deformation, and its sap seemed relatively insensitive to the inhibitors of infection. Mottling of Glycine max was detected after inoculation, but inoculation of Nicotiana glutinosa didn't induce any symptoms. This study aimed to detect and identify a new isolate of GFLV-DA3 from Egypt using biological and molecular tools.
Using Double Oracle Algorithm for Classification of Adversarial Actions

This thesis examines the usability of Double-Oracle algorithm for finding a Nash equilibrium in infinite games. Especially, it focuses on finding a robust solution for classification of adversarial action. At first, we have formalized an adversarial classification problem as an almost zero-sum game with hard false-positive constraint in expectation. For this representation, we have found an algorithm, which gives us the exact value of the game. Double Oracle applied in this game consists of three parts: slightly modified LP for solving the restricted game, general optimization for finding the attacker’s best response, and a classifier for an approximation of the defender’s best response. We have created a framework for using DO for classification of adversarial actions, and we have evaluated it on predefined domains with various structures and a various number of dimensions. The experiments have been performed with three classifier types: decision tree, SVM, and neural network. The experimental results have shown that the algorithm converges, but the computation time grows fast with the number of dimensions.
Genetic Diversity of South Chadian Sorghum Landraces Assessed Through Quantitative and Qualitative Traits

This paper can be downloaded online at http://ijasbt.org & http://nepjol.info/index.php/IJASBT 395 Genetic Diversity of South Chadian Sorghum Landraces Assessed Through Quantitative and Qualitative Traits Gapili Naoura, Mahamat Alhabib Hassane, Djinodji Reoungal, Serferbe Signaboubo, Eva Weltzien-Rattunde Chadian Institute of Agricultural Research for Development, N’Djamena, Chad Research Unit of Applied Botany, University of Dschang, Box 67 Dschang, Cameroon International Crops Research Institute for the Semi-Arid Tropics (ICRISAT).