Miracle-dz/UniFAR-FTUs huggingface dataset:
RUSSIA AND GERMANY: FROM ESTRANGED PARTNERS TO GOOD NEIGHBORS

Like Moscow’s relations with the West more broadly, Russia’s ties with Germany—its most important European partner—have grown increasingly strained over the past few years. Previous hopes of Russia’s integration into a Greater Europe from Lisbon in the west to Vladivostok in the east have evaporated. The formerly cordial relationship between Moscow and Berlin has cooled off, as estrangement and even mutual alienation have set in. RUSSIA AND GERMANY: FROM ESTRANGED PARTNERS TO GOOD NEIGHBORS
Survey of network embedding techniques for social networks

High dimensionality of data is a challenging scenario in the current era as the digital transformation of the society is in process. This problem is particularly complex in social networks as in such systems, it is coupled with other challenges such as interdependency of data points and heterogeneity of data sources. To overcome such disadvantages and aid in creation of downstream applications for social network analysis, network embedding techniques have been proposed. These techniques, in themselves, are not important but are the backbone of various network-based applications. Due to the scientific interest in this domain there has been a mushrooming of embedding techniques. It has therefore become crucial to learn the intuitions behind these techniques in order to compare and contrast them. The current analytical study is drawn with the following broad objectives: providing practitioners with understanding of network representative learning mathematical study of state-of-the-art techniques and highlighting the evolution of the literature in this field.
Modeling Hyperspectral Response of Water-Stress Induced Lettuce Plants Using Artificial Neural Networks

Modeling the hyperspectral response of vegetables is important for estimating water stress through a noninvasive approach. This article evaluates the hyperspectral response of water-stress induced lettuce (Lactuca sativa L.) using artificial neural networks (ANN). We evenly split 36 lettuce pots into three groups: control, stress, and bacteria. Hyperspectral response was measured four times, during 14 days of stress induction, with an ASD Fieldspec HandHeld spectroradiometer (325–1075 nm). Both reflectance and absorbance measurements were calculated. Different biophysical parameters were also evaluated. The performance of the ANN approach was compared against other machine learning algorithms. Our results show that the ANN approach could separate the water-stressed lettuce from the non-stressed group with up to 80% accuracy at the beginning of the experiment. Additionally, this accuracy improved at the end of the experiment, reaching an accuracy of up to 93%. Absorbance data offered better accuracy than reflectance data to model it. This study demonstrated that it is possible to detect early stages of water stress in lettuce plants with high accuracy based on an ANN approach applied to hyperspectral data. The methodology has the potential to be applied to other species and cultivars in agricultural fields.
Evidence from Chinese Multi-Mode Exporters

Based on a universe of exporters with multiple exporting modes sorted out from the matched Chinese firm-level trade and production data in 2000-2006, this paper examines how exporting mode portfolio affects total factor productivity of multi-mode exporters. No evidence proves that multi-mode exporters performing more exports through ordinary trade mode tend to be more productive. Conversely, a shift in export activity towards incoming materials processing and assembling trade mode is more likely associated with a higher TFP. This implies that a multi-mode exporter might learn by processing and assembling which virtually function as a means to participation into global disintegrated production processes.
Prediction of Coefficient Of Friction and Sliding Wear Rates of Cast Al6061-Si3N4 Composites using ANN Approach

This work focuses on the prediction of tribological behavior of cast Al6061-Si3N4 composites using ANN technique owing to its wide spread popularity in accurate predictions of material properties. The cast composites were developed by stir cast method and its tribological behavior were experimentally evaluated using a pin-on-disc tribometer adopting loads and sliding velocities ranging from 20-100N and 0.314-1.5740m/s respectively. The predictions of coefficient of friction and wear rates of matrix alloy and the developed cast composites by ANN approach do agree very closely with the experimental data.
The impact of pre-electoral coalitions on mayoral election outcomes in Indonesia

The extent to which pre-electoral coalitions (PECs) influence executive elections in presidential systems has not been subject to rigorous empirical study. This paper uses regression discontinuity methods to identify the causal effect of PEC size on mayoral election outcomes in Indonesia. The study finds that mayoral candidates backed by PECs comprising political parties that control council seat shares exceeding first-round electoral vote thresholds are around 18-24 percentage points more likely to win those elections than their counterparts supported by smaller-sized PECs.
Photonic High-Frequency Capacitance – Voltage Characterization of Interface States in Metal-Oxide-Semiconductor Capacitors

A new characterization method based on the photonic highfrequency capacitance–voltage (HF – ) response of metal-oxide semiconductor (MOS) capacitors is reported for the analysis of interface states in MOS systems. An optical source with a photon energy less than the silicon band-gap( = 0 799 eV = 1 11 eV) is employed for the photonic characterization of interface states( ) distributed in the photoresponsive energy band( ) in -MOS capacitors with a polysilicon gate. Assuming a uniform distribution of the trap levels, the density of interface states( ) was observed to be = 1–5 10 eV cm in the photoresponsive energy band.
Understanding emotions in drama, a step towards interactive narratives

This paper discusses the importance of emotion mode lling if one is to deal with interactive drama. As a position paper, it describes the emotion mecha nisms in place in traditional drama and considers the possibilities to transpose these in regard to i nteractivity. We also, in this document, look with a critical eye at the necessary changes to be made in the general perception of drama, more particularly, the role of the user if dramatic enacting ha s to be rendered interactive. Beside the very muchdiscussed topic of narrative considerations, we dra w attention in this document to the necessities of considering the preponderant role that emotions hav e in regard to the articulation, comprehension and perception of drama. For these reasons, this pa per aims at understanding the emotional dynamics involved in interactive storytelling and establ ishes links between emotional rendering of information and the appreciation of the drama itself.
Neuronal Lipids for Subsequent Immunofluorescent Staining:

25 Matrix assisted laser desorption/ionization imaging mass spectrometry (MALDI-IMS) 26 enables acquisition of spatial distribution maps for molecular species in situ. This can 27 provide comprehensive insights on the pathophysiology of different diseases. However, 28 current sample preparation and MALDI-IMS acquisition methods have limitations in 29 preserving molecular and histological tissue morphology, resulting in interfered 30 correspondence of MALDI-IMS data with subsequently acquired immunofluorescent staining 31 results. We here investigated the histology-compatibility of MALDI-IMS paradigm to image 32 neuronal lipids in rodent brain tissue with subsequent immunohistochemistry and fluorescent 33 staining of histological features. This was achieved by sublimation of a low ionization energy 34 matrix compound, 1,5-diaminonapthalene (1,5-DAN), minimizing the number of low-energy 35 laser shots. This yielded improved lipid spectral quality, speed of data acquisition and 36 reduced matrix cluster formation along with preservation of specific histological information 37 at cellular levels. The gentle, histology compatible MALDI IMS protocol also diminished 38 thermal effects and mechanical stress created during nanosecond laser ablation processes 39 that resulted in subsequent immuno fluorescence staining but not with classical H&E 40 staining on the same tissue section. Furthermore, this methodology proved to be a powerful 41 strategy for investigating β-amyloid (Aβ) plaque-associated neuronal lipids as exemplified by 42 performing high-resolution MALDI-IMS with subsequent fluorescent amyloid staining in a 43 transgenic mouse model of Alzheimer’s disease (tgSwe). 44
Exploring TD error as a heuristic for σ selection in Q(σ, λ)

In the landscape of TD algorithms, the Q($\sigma$, $\lambda$) algorithm is an algorithm with the ability to perform a multistep backup in an online manner while also successfully unifying the concepts of sampling with using the expectation across all actions for a state. $\sigma \in [0, 1]$ indicates the extent to which sampling is used. Selecting the value of {\sigma} can be based on characteristics of the current state rather than having a constant value or being time based. This report explores the viability of such a TD-error based scheme.
Comparing and reducing dark corners in artificial lateral line sensor configurations

Fish are able to sense movement in the water around them with an organ called a lateral line. This organ consists of neuromast detectors along the body of the fish that detect water flow. For an artificial lateral line, artificial water flow sensors are used. Fisher matrix heatmaps of these bi-axial sensors show that there are areas where parameter detection accuracy is low. The goal of this paper is to reduce these dark corners for the position of the source of the flow. The assumption is that regularly spaced out sensors, such as in a grid configuration, have the least dark corners. Sensor configurations generated by a Continuous Genetic Algorithm, K-means, Kohonen SOM and a grid configuration were compared. Extreme Learning Machines were trained and tested on a dataset of moving sources and compared with dark corners from Fisher matrix heatmaps. The parameter errors of the ELM are approximately 4 times larger than the lower bounds of the Fisher matrices. The dark corners shown by Fisher matrix heatmaps, however, are not visible in the ELM parameter errors. The CGA configurations had the highest ELM errors, except for an outlier, and had the most dark corners. The grid configuration had the least dark corners and shared the lowest ELM errors with the sensor configurations generated by K-means and Kohonen SOM.
Optimal academic experience: Exploring the relationship between motivation and flow

This study explores the factors that elicit and sustain the optimal academic experience. Flow operationalizes this experience and is studied in relation to motivation. More self-determined types of motivation are expected to have higher correlations with the flow experience, with autonomy acting as a moderator. Results are theoretically underpinned by self-determination theory and cognitive evaluation theory. Congruent with engagement research this study has implications for successful educational outcomes such as learning, achievement, continued motivation, commitment, performance, increased skills and maximal chances for school completion. Flow has often been studied in special populations such as dancers, athletes and scientists. This study investigates how flow is experienced and supported in the higher education environment. “How optimism and hope affect life, what constitutes wisdom, and how talent and creativity come to fruition (Seligman & Csikszentmihalyi, 2000, p. 5),” are just a few of the questions that Positive Psychology tries to answer. Studying these positive individual traits goes toward building a strength-based model of flourishing. Human strengths are important for an individual to thrive, but so are the ways in which they are supported. Positive Psychology also extends to studying the optimal working environment, communities and education. Besides individual traits, valued subjective experiences are also of interest (Seligman & Csikszentmihalyi, 2000). Engagement and flow are subjective experiences which outline academic strengths in the educational domain. Engagement has been defined as a behavior in which a person brings in their personal self during the performance of a task (Kahn, 1990). Student engagement has been linked to important educational outcomes such as learning and achievement, successful school completion, continued motivation, commitment and performance (Shernoff et al, 2003). The flow experience is engaging in that it is described as total involvement in an activity that one is completely absorbed in. Engagement and flow are also related in other ways. Interestingly both Kahn (1990), and Csikszentmihalyi cite alienation as the opposite to engagement and flow respectively. Flow and engagement have been used as examples of selfdirected behavior (Kahn, 1990), flow has also been used as an example of engagement (Steele & Fullagar, 2009), and flow has even been studied as an operationalization of engagement (Mills & Fullagar, 2008). Concentration, interest and enjoyment are measures of engagement and these constructs experienced together are typical of the flow experience (Shernoff et al. 2003). Engagement is affected by the challenge and skill of the activity which
A systematic review and meta-analysis

Whether statin use has any impact on survival of esophageal cancer patients remains controversial. Therefore, we conducted ametaanalysis focusing on current topic for the first time. We systematically searched the following databases for relevant studies comparing survival between statin users and non-users among esophageal cancer patients up toMarch 16, 2019: Pubmed, Embase, andWeb of Science.We extracted data of hazard ratio (HR) with 95%confidence interval (CI) of all-cause and cancer-specific mortality for analysis. We used the STATA 12.0 software to perform this meta-analysis. We finally included a total of 4 cohort studies involving a total of 20,435 esophageal cancer patients (5319 statin users and 15116 non-users). Our meta-analysis found that statin use after diagnosis of esophageal cancer was significantly correlated to decreased all-cause (random effects: HR=0.81, 95%CI: 0.75–0.89, P< .001; I=68.1%) and cancer-specific mortality (fixed effects: HR= 0.84, 95%CI: 0.78–0.89, P< .001; I=46.6%) in esophageal cancer patients. When stratified by pathological subtypes, the protective effect of statin use after diagnosis of esophageal cancer was observed in both esophageal adenocarcinoma patients and esophageal squamous cell carcinoma patients. Moreover, statin use before diagnosis of esophageal cancer was also confirmed to have favorable survival benefit for esophageal cancer patients. Statin use was significantly correlated to lower mortality risk of esophageal cancer patients regardless of the timewhen statins were taken and pathological subtypes of esophageal cancer. Statins may serve as promising adjunctive anticancer agents for treating esophageal cancer. Abbreviations: CI= confidence interval, EA= esophageal adenocarcinoma, HMG-CoA= 3-hydroxy-3-methylglutaryl-coenzyme A, HR = hazard ratio, NOS = the Newcastle–Ottawa Scale, RCT = randomized controlled trial, SCC = esophageal squamous cell carcinoma.
DTC in Contrast to FOC on Power train of Hybrid Electrical Vehicle

This article assesses performance of two frequently used induction motor control strategy, DTC and FOC, and compares their performance in accelerating and decelerating cycle of an HEV. In case study a dynamic model for the vehicle drive by a three-phase induction motor power train had got picked, and two different drive strategy executed for the same situation on acceleration and deceleration cycle of the vehicle's model. The simulation outcomes indicate the performance of either of two methods. Keywords— Direct Torque Control, Field Oriented Control, Hybrid Electrical Vehicle, Induction Three Phase Motor, Power train, Vehicle Dynamic Model.
Coupling a Markov Chain and Support Vector Machine for At-Site Downscaling of Daily Precipitation

Statistical downscaling is useful for managing scale and resolution problems in outputs from global climate models (GCMs) for climate change impact studies. To improve downscaling of precipitation occurrence, this study proposes a revised regression-based statistical downscaling method that couples a support vector classifier (SVC) and first-order two-state Markov chain to generate the occurrence and a support vector regression (SVR) to simulate the amount. The proposed method is compared to the Statistical Downscaling Model (SDSM) for reproducing the temporal and quantitative distribution of observed precipitation using 10 meteorological indicators. Two types of calibration and validation methods were compared. The first method used sequential split sampling of calibration and validation periods, while the second used odd years for calibration and even years for validation. The proposed coupled approach outperformed the othermethods in downscaling daily precipitation in all study periods using both calibration methods. Using odd years for calibration and even years for validation can reduce the influence of possible climate change–induced nonstationary data series. The study shows that it is necessary to combine different types of precipitation state classifiers with a method of regression or distribution to improve the performance of traditional statistical downscaling. These methods were applied to simulate future precipitation change from 2031 to 2100 with the CMIP5 climate variables. The results indicated increasing tendencies in both mean and maximum future precipitation predicted using all the downscaling methods evaluated. However, the proposedmethod is an atsite statistical downscaling method, and therefore this method will need to be modified for extension into a multisite domain.
Paleoclimatic variations in foraminifer assemblages from the Alboran Sea (Western Mediterranean) during the last 150 ka in ODP Site 977

Detailed analysis of the planktonic foraminifera assemblages of ODP Site 977, situated in the Alboran Sea (3681,9VN; 1857,3VW), led us to recognize 42 planktonic foraminiferal events that occurred during marine isotope stages (MIS) 4 and 5. These events were defined by changes in the abundances of Neogloboquadrina pachyderma (right and left coiling), Turborotalita quinqueloba, Globorotalia scitula, Globorotalia inflata, Globigerina bulloides and Globigerinoides ruber (white and pink varieties). Foraminiferal assemblages changed in response to glacial–interglacial and millennial climate variability throughout the last 150 ka. Based on the estimation of sea surface temperatures (SST) using the modern analog technique and the oxygen isotope data measured in G. bulloides, we inferred the oxygen isotopic composition of sea water (dw). SST increased in the Alboran Sea during the main Dansgaard–Oeschger Interstadials, such as interstadial 19 to 24. Even though N. pachyderma (left coiling) is very scarce before Heinrich Event (HE) 6, three cold pulses can be identified, between 65 and 85 ka ago. Moreover, increases in abundance of T. quinqueloba and G. scitula are recorded during D–O Stadials 20 and 21. The maximum temperature, which was attained during the Last Interglacial, was about 2 8C higher than recent temperature and that reached over the Holocene. Planktic foraminifera assemblages and paleotemperatures remained cold 3 ka after the beginning of Termination II (T-II), 130 ka ago, probably in connection with the occurrence of Heinrich event 11 in the North Atlantic. The abundance of G. bulloides during the deposition of organic rich layers (ORLs) of MIS 5, accompanied by lower isotope values in surface waters (dw), could indicate the presence of a fresher surface layer associated with an increase in marine surface productivity. D 2004 Elsevier B.V. All rights reserved.
ORR_A_199183 69..78

Point your SmartPhone at the code above. If you have a QR code reader the video abstract will appear. Or use: https://youtu.be/lAKW3hQGyJQ Objectives: Total hip arthroplasty (THA) is highly successful but national registries indicate that average age has lowered and that younger patients are at higher risk of revision. Longterm follow-up of THA was historically recommended to identify aseptically failing THA, minimising the risks associated with extensive changes, but follow-up services are now in decline. A systematic review was conducted to search for evidence of the clinical or costeffectiveness of hip arthroplasty surveillance. Methods: The study was registered with PROSPERO International Prospective Register of Systematic Reviews and conducted according to PRISMA guidelines; databases included MEDLINE and Embase, and all studies were quality assessed. Original studies (2005 to 2017) reporting follow-up of adults with THA in situ >5 years were included. Researchers extracted quantitative and qualitative data from each study. Results: For eligibility, 4,137 studies were screened: 114 studies were included in the final analysis, representing 22 countries worldwide. Data extracted included study endpoint, patient detail, loss to follow-up, revisions, scores and radiographic analysis. Six themes were derived from inductive content analysis of text: support for long-term follow-up, subgroups requiring follow-up, effect of materials/techniques on THA survival, effect of design, indicators for revision, review process. Main findings—follow-up was specifically recommended to monitor change (eg asymptomatic loosening), when outcomes of joint construct are unknown, and for specific patient subgroups. Outcome scores alone are not enough, and radiographic review should be included. Conclusion: There were no studies directly evaluating the clinical effectiveness of the longterm follow-up of THA but expert opinions from a range of international authors advocated its use for defined subgroups to provide patient-centred care. In the absence of higher level evidence, these opinions, in conjunction with emerging outputs from the national joint registries, should be used to inform services for long-term follow-up of THA.
Journal of Solid Mechanics Vol

In this study, the buckling and free vibration of Timoshenko beams resting on variable elastic foundation analyzed by means of a new finite element formulation. The Winkler model has been applied for elastic foundation. A two-node element with four degrees of freedom is suggested for finite element formulation. Displacement and rotational fields are approximated by cubic and quadratic polynomial interpolation functions, respectively. The length of the element is assumed to be so small, so that linear variation could be considered for elastic foundation through the length of the element. By these assumptions and using energy method, stiffness matrix, mass matrix and geometric stiffness matrix of the proposed beam element are obtained and applied to buckling and free vibration analysis. Accuracy of obtained formulation is approved by comparison with the special cases of present problem in other studies. Present formulation shows faster convergence in comparison with conventional finite element formulation. The effects of different parameters on the stability and free vibration of Timoshenko beams investigated and results are completely new. © 2017 IAU, Arak Branch. All rights reserved.