Miracle-dz/UniFAR-FTUs huggingface dataset:
Really Paying Attention : A BERT + BiDAF Ensemble Model for Question-Answering

Question answering is one of the most elusive disciplines within the realm of computer science and natural language processing. The arrival of Bidirectional Encoder Representations From Transformers (BERT) last year took the NLP world by storm. BERT’s successes raised questions about whether pre-trained contextual embedding (PCE) models are poised to supplant the past era of designing and iterating on diverse, complex architectures for specific tasks. In this project, I sought to shed light on this question. First, I experimented with hyperparameter fine-tuning to better understand how to optimize BERT performance on SQuAD 2.0. Second, I explored the relationship between a baseline Bidirectional Attention Flow (BiDAF) model and a BERT model. Specifically, I created a BERT+BiDAF ensemble using a stochastic approach. The results were quite interesting: though the ensemble model appeared to decrease scores on the dev set, it ultimately performed better than standalone BERT on the test set, achieving a final F1/EM score of 77.165/73.609. Ultimately, however, the increments afforded by such an ensemble model were comparatively less than those realized through increasing BERT compute power via hyperparameter tuning, suggesting that we may indeed be in a “new era” of NLP dominated by pre-contextualized embeddings.
New approach for planning the mountain bike training with virtual coach

Introduction T development of virtual technologies has an impact on all areas of human life. Virtual technologies allow Abstract Virtual technologies make a big step forward also in the world of mountain bike sport. Monitoring the progress of performances during sports training is the eternal desire of each competitive mountain biker. They can measure or analyse data directly from their trainings. As some previous study shows some sophisticated data analytical methods such as data mining are becoming increasingly useful tools in analysing sport performance and also by supporting decision making. For example on the basis of this specific data it is able to create algorithm for planning the sport specific training sessions. In this way sport applications may help also coaches to develop more sophisticated training program for their athletes. All this virtual technologies has led to the idea that they can put the concept of a complex computer system, which is virtual coach, which is based on the principle of cyclization/periodization of sports training. That will be also main focus in our study to show how virtual coaching may work for example for endurance athletes in our case mountain bikers.
Perceptions of School Administration Trustworthiness, Teacher Burnout/Job Stress and Trust: The Contribution of Morale and Participative Decision-Making

Job burnout was first described by Freudenberger (1975) as an almost inexorable response to competing and continuing stressors on the job. Freudenberger saw the human service professional as a person caught in a three-way squeeze with their own needs competing with the needs of clients and administrative personnel. This results in personnel unable to perform to their optimum level due to internal conflict and stress. Individuals experience burnout in many workplaces and the condition has its basis in relationships (Maslach, Schaufeli, & Leiter, 2001). Because of the interpersonal nature of the job, burnout has long been regarded as an occupational hazard of teaching (Dorman, 2003; Friedman, 2000; Hughes 2001). In spite of a large documentary literature, research has been repetitive in that many stressors have been identified (see Dorman, 2003; Friedman, 2000); and unsystematic, in that individual approaches or interventions were advanced before consideration of organisational practices that could have contributed to the development of burnout (see Dworkin, 2001; Leiter & Maslach,1999).
High-resolution image resonstruction using the Discontinuity Adaptive ICM algorithm

Super-Resolution reconstruction methods intend to reconstruct a high-resolution image from a set of lowresolution observations. For that, the observed images mus t have sub-pixel displacements between each other. This requirement allows the existence of different information on each of the low-resolution images. This paper discusses a Bayesian approach for the super-resolution reconstruction problem using Markov Random Fields (MRF) and the Potts-Strauss model for the image characterization. Since it is difficult to maximize the joint probability, the Iterated Conditional Modes (ICM) algorithm is used to maximize the local conditional probabilities sequentially. For the oversmoothness inherent to Maximum a Posteriori (MAP) formulations using MRF prior models, we adopt a discontinuity adaptive (DA) procedure for the ICM algorithm. The proposed method was evaluated in a simulated situation by the Peak signal-to-noise ratio (PSNR) method and the Universal Image Quality Index (UIQI). Also, video frames with sub-pixel displacements were used for the visual evaluation. The results indicate the effectiveness of our approach both by numerical and visual evaluation.
Differentiable Unrolled Alternating Direction Method of Multipliers for OneNet

Deep neural networks achieve state-of-the-art results on numerous image processing tasks, but this typically requires training problem-speciﬁc networks. Towards multi-task learning, the One Network to Solve Them All (OneNet) method was recently proposed that ﬁrst pretrains an adversarial denoising autoencoder and subsequently uses it as the proximal operator in Alternating Direction Method of Multipliers (ADMM) solvers of multiple imaging problems. In this work, we highlight training and ADMM convergence issues of OneNet, and resolve them by proposing an end-to-end learned architecture for training the two steps jointly using Unrolled Optimization with backpropagation. In our experiments, our solution achieves superior or on par results compared to the original OneNet and Wavelet sparsity on four imaging problems (pixelwise inpainting-denoising, blockwise inpainting, scattered inpainting and super resolution) on the MS-Celeb-1M and ImageNet data sets, even with a much smaller ADMM iteration count.
Retina Human Parafoveal Capillary Vascular Anatomy and Connectivity Revealed by Optical Coherence Tomography Angiography

METHODS. This was a prospective, cross-sectional, observational study including 20 eyes of 10 healthy subjects. En face and cross-sectional OCTA images were segmented to study the superficial (SCP), middle (MCP), and deep capillary plexuses (DCP). Using thin slabs and manual segmentation within the three plexuses, we examined the connections between the large-caliber superficial vessels within a 3 3 3 mm OCTA scan (arterioles and venules) and the smaller capillaries in each plexus.
The Dynamics of Bank Competition in Kenya

This study investigates competition among commercial banks in Kenya and its evolution with changes in technology, consolidation and regulation via the determinants of bank profitability over the period 2001 to 2014. Specifically, the study ascertained the level of competition among commercial banks and investigated the effect of changes in consolidation, technology and regulation on commercial banks competition. The study used a balanced panel data set of 36 (72%) commercial banks. The study used the performance dynamics approach and the generalized method of moments to estimate the resulting dynamic panel models. The investigation established that the level of competition among commercial banks in Kenya is low, characterized by 96.1 per cent persistence in profitability, increases with increase in level of technology and consolidation but slows with increase in the capital requirements. Arising from the study findings, it is important that the government intervenes to rectify the intermediation inefficiency occasioned by ineffectiveness of competition. It is also important that small sized banks in the sector voluntarily merge with other smaller banks in order to exert substantial competition to the large and medium sized banks. For effectiveness, the findings imply that intervention by government should target swift adoption of technology by all commercial banks and trigger consolidation among the target tiers of commercial banks
INITIO MODELING : MECHANICAL AND THERMO-ELASTIC PROPERTIES OF CALCIUM CARBONATES POLYMORPHS

The present PhD Thesis provides a set of new computational, mechanical and thermodynamic data, aimed to provide a better characterization of calcium carbonate polymorphs, from the mineralogical, geophysical and petrographical (sedimentary and metamorphic petrography) point of view. Carbonates belong to the most abundant Earth materials, after silicates, and play an important role in the Earth’s carbon cycle. Carbonates are a group of minerals in which the essential unit is the (CO3) ion. This unit has a planar arrangement, with the carbon atom at the centre and oxygen atoms at the apices of an equilateral triangle (Zemann, 1981). Calcium carbonate crystallizes naturally with either the calcite [CaCO3(I)] or aragonite (Pmcn) structure. The other CaCO3 polymorph is vaterite, which is metastable. The (CO3) group is the fundamental chemical unit from which the carbonate minerals derive their identity. The other CaCO3 carbonate studied in the present thesis is CaCO3(II). For the phases studied, the geometry of each calcium carbonate polymorphs was optimized by means of ab initio quantum mechanical calculation CRYSTAL code (Dovesi et al., 2006, 2009). The choice of the exchange-correlation functionals used in the present ab initio quantum calculation were B3LYP (Becke, 1993) and WC1LYP (Wu & Cohen, 2006). The vibrational modes were calculated in the quasi-harmonic approximation, and represented the eigenvalues of the mass-weighted Hessian matrix, which is nothing else than the second derivative of the potential energy as a function of coordinate displacement respect to the equilibrium position. The bulk modulus, the thermal expansion, the specific heat, and the entropy were obtained in the limit of the quasi-harmonic approximation (Anderson, 1995), through the evaluation of the unit cell volume dependence from the frequencies of the vibrational normal modes (mode-γ of the Grüneisen’s parameters) at the Γ point. The dispersion effects in the phonon spectra at various pressures were not taken into account for aragonite, but only for calcite, thanks to new version of the CRYSTAL code (Dovesi et al., 2009). On the other hand, the Grüneisen’s parameters corresponding to the zone-centre vibrational modes can reasonably be considered representative of the whole set of parameters, due to their large number, which depends upon the number of atoms in the unit cell. The total pressure P, at each cell volume V, and the temperature T have been obtained using thermal physics approach of (Anderson, 1995).
Precise hyperacuity estimation of spike timing from calcium 1 imaging 2 3

3 Huu Hoang1*, Masa-aki Sato1*, Shigeru Shinomoto1,2, Shinichiro Tsutsumi3, Miki 4 Hashizume4, Tomoe Ishikawa5, Masanobu Kano3, Yuji Ikegaya5, Kazuo Kitamura6, 5 Mitsuo Kawato1, Keisuke Toyama1# 6 7 1ATR Brain Information Communication Research Laboratory Group, Advanced 8 Telecommunications Research Institute International, Kyoto, Japan 9 2Department of Physics, Kyoto University, Kyoto, Japan 10 3Department of Neurophysiology, Graduate School of Medicine, The University of Tokyo, 11 Tokyo, Japan 12 4Department of Biochemistry, Faculty of Medicine, Saitama Medical University 13 5Graduate School of Pharmaceutical Sciences, The University of Tokyo, Tokyo, Japan 14 6Department of Neurophysiology, Faculty of Medicine, University of Yamanashi, 15 Yamanashi, Japan 16 17 18 19 20 * Equally contributing first authors 21 # Correspondence: Keisuke Toyama, toyama@atr.jp 22
Statin Intensity Regimens in Thai Type 2 Diabetic Patients Who Achieved LDL-C Targets

603 Correspondence to: Thongtang N, Associate Professor of Endocrinology, Division of Endocrinology and Metabolism, Department of Medicine Faculty of Medicine Siriraj Hospital, Mahidol University 2 Wanglang Road, Bangkoknoi, Bangkok 10700, Thailand. Phone: +66-2-4197797, Fax: +66-2-4197792 E-mail: nuntakorn@hotmail.com Statin Intensity Regimens in Thai Type 2 Diabetic Patients Who Achieved LDL-C Targets
BIP! Finder: Facilitating Scientific Literature Search by Exploiting Impact-Based Ranking

Due to the rapidly increasing number of scientific articles, finding valuable work for further research has become tedious and time consuming. To alleviate this issue, search engines have used citation-based article impact ranking. However, most engines rely on very simplistic impact measures (usually the citation count) and make the problematic assumption that there is a one-size-fits-all impact measure. To address these problems, we present BIP! Finder, a search engine that facilitates the identification of valuable articles by exploiting two different impact measures, each capturing a different aspect of the article impact. In addition, BIP! Finder provides many useful features (article comparison, intuitive visualisations, article bookmarking mechanism, etc.) making it a powerful addition to the researcher's toolbox.
Socio-Economic Differences in the Perceived Quality of High and Low-Paid Jobs in Europe 1

This paper engages in a novel comparative investigation of the differences in the perceived quality of high and low-paid jobs in six European labour markets. Utilizing data from six waves (1996-2001) of the European Community Household Panel (ECHP), and after correcting for the selectivity problem that is prevalent in the study of the effect of low pay status on job satisfaction, it is shown that, other things equal, low-paid employees are significantly less satisfied with their jobs compared to those who are high-paid in Greece, Spain, and Finland. In contrast, there appears to be an insignificant difference in the satisfaction of high and low wage workers in the United Kingdom, France and Denmark. Based on this evidence, one can therefore argue that the European Commission’s claim that low paid jobs are inherently jobs of low quality is not universal, for in half of the countries examined the data refute the dual labour market hypothesis. Nevertheless, there is a legitimate case of concern for some countries. The results also highlight the extent to which the diversity of conditions, institutions and welfare regimes across dissimilar EU economies result in differential outcomes with respect to labour market performance. 1 The authors would like to thank Dr. Heather Gibson, Dr T. Mitrakos and participants at a seminar of the Bank of Greece for their helpful comments and assistance. This research is an extension of work that was done during K. Pouliakas’s temporary employment at the Economic Research Department of the Bank of Greece. It forms part of the EPICURUS project (Societal and economic effects on quality of life and well-being: preference identification and priority setting in response to changes in labour market status) a project supported by the European Commission through the Fifth Framework Programme "Improving Human Potential" (contract number: HPSE-CT-2002-00143). 2 PhD Candidate, Centre for European Labour Market Research (CELMR), University of Aberdeen Business School, Edward Wright Building, Dunbar Street, Old Aberdeen AB24 3QY, UK – Tel. ++44 01224 272172, email: k.pouliakas@abdn.ac. uk. 3 Corresponding author: Professor of Economics, University of Macedonia, Thessaloniki, and Centre for European Labour Market Research (CELMR), University of Aberdeen Business School, Edward Wright Building, Dunbar Street, Old Aberdeen AB24 3QY, UK – Tel. ++44 01224 272181, email: theod@abdn.ac. uk.
Effective control and battery charging system of an island PV power plant.

The paper presents a new concept of an autonomous PV power plant regulatory system with LiFePO4 batteries, which was functionally verified. The hardware system is significantly simpler and more operationally reliable. It also shows higher efficiency and lower acquisition costs than conventional commercial systems. The proposed control system was optimized for charging a multi-cell battery by PV electric energy. The system automatically maximizes the power supplied by the photovoltaic source and minimizes the power loss caused by balancing the individual cell charging processes. The problem of charge balancing is solved without the balancers. Battery cells are recharged from the separate converters supplying the PV power. The converters are controlled to observe a LiFePO4 battery charging mode while controlling the photovoltaic generator (PVG) load resistance based on an MPP monitoring. PVG power is not supplied to the charged cells, which are in this way protected from overcharging. The entire PVG power is fed to the cells to be charged. The transmission from the converters is controlled in order not to exceed the voltage and current limits at the terminals and to minimize the actual voltage deviation from the control voltage at the PVG output. The control voltage is generated as an MPP voltage approximation according to the load character-istics and the actual PVG operating conditions.
Investigating the Factors for Using One vs . Two Devices for Work and Private Life

Because of the increasing performance and affordability of consumer IT such as smartphones or tablets, more and more employees are using the same device for work and private purposes. On the one hand, this behavior can increase productivity. On the other hand, the dual use of one device makes it more difficult to separate work and private life. Since existing BYOD and consumerization literature deals extensively with the relative advantage of private devices, we investigate the factors influencing the decision to use one or two devices. To answer our research question, we conducted a web-based study and used structural equation modelling.
Greek epidemics of grapevine downy mildew are driven by local oosporic inoculum : a population biology approach

The oomycete Plasmopara viticola (Berk. et Curt.) Berl. et de Toni (Order: Peronosporales, Family: Peronosporaceae), the causal agent of grapevine downy mildew disease, constitutes the most destructive pathogen in viticulture for continental climates with spring or autumn rains. The pathogen infects young inflorescences and berries as well as leaves, producing yellowish lesions (oilspots). Losses are caused through fruit destruction, killing of leaf tissue and weakening of shoots (Agrios, 2004). Earlier concepts regarding the pathogen’s epidemiology have postulated that the disease starts from a few germinating sexual spores (oospores) that cause primary/oosporic infections early in the grapevine vegetative season. Oospores are considered to play a role only in the initiation of the disease. The first infections are followed by successive asexual cycles and the secondary sporangia produced cause secondary / clonal infections. The explosive disease progress and dispersal are attributed to the asexual spores (secondary sporangia), which are assumed to migrate long distances within a short time (Zahos, 1959; Lafon & Clerjeau, 1988; Blaise et al., 1999). Two conditions affect Greek vineyards and give particular traits to P. viticola populations and epidemic growth compared with those in central Europe. The first exclusive condition is the Mediterranean climate, where, due to absence of prolonged rains Greek epidemics of grapevine downy mildew are driven by local oosporic inoculum: a population biology approach
ON PERSONALIZED RECOMMENDATION ALGORITHM OF CROSS-BORDER E-COMMERCE UNDER LARGE DATA BACKGROUND

With the expansion of the E-commerce industry, the coverage of goods is becoming increasingly wider. Moreover, foreign E-commerce industries have gradually expanded to the Chinese market, resulting in higher requirements of domestic consumers on the safety, variety and cost performance of foreign products. Therefore, how to make the sales of cross-border E-commerce more stable and keep the balance of cross-border E-commerce inventory and sales is an urgent problem to be solved. As traditional modes are not suitable for foreign E-commerce industries, a personalized recommendation system with favorable big data processing capacity is needed to address the problem. This paper introduced a common personalized recommendation system and applied the collaborative filtering algorithm as the main algorithm of the system to solve problems in practice. The results showed that the improved collaborative filtering recommendation system could meet the requirement of the times and was worth being promoted.
TOWARD CONTROLLABLE TEXT CONTENT MANIPU-

Controlled generation of text is of high practical use. Recent efforts have made impressive progress in generating or editing sentences with given textual attributes (e.g., sentiment). This work studies a new practical setting of text content manipulation. Given a structured record, such as (PLAYER: Lebron, POINTS: 20, ASSISTS: 10), and a reference sentence, such as Kobe easily dropped 30 points, we aim to generate a sentence that accurately describes the full content in the record, with the same writing style (e.g., wording, transitions) of the reference. The problem combines the characteristics of data-to-text generation and style transfer, and is challenging to minimally yet effectively manipulate the text (by rewriting/adding/deleting text portions) to ensure fidelity to the structured content. We derive two datasets from the data-to-text task as our testbed, and develop a neural method with weakly supervised competing objectives and explicit content coverage constraints. Automatic and human evaluations show superiority of our approach over competitive methods including a strong rule-based baseline and prior approaches designed for style transfer.
Hematotoxicity in acute lymphoblastic leukemia children who received 6-Mercaptopurine during maintenance therapy in Indonesia

This study aimed to determine factors affecting the occurrence of hematotoxicity in acute lymphoblastic leukemia (ALL) patients during maintenance phase therapy. This retrospective, observational study was conducted by analyzing the medical records of ALL patients undergoing 6-mercaptopurine (6MP)-based treatment (6MP, methotrexate, vincristine, and dexamethasone) during the maintenance phase at the Cipto Mangunkusumo Hospital, Indonesia, from January 2014 to December 2016. Ninety (89.1%) of ALL patients analyzed experienced hematotoxicity occurrence during the maintenance phase (anemia, 77.2%; neutropenia, 35.6%; and thrombocytopenia,26.7%). Most of the anemia and thrombocytopenia cases were grades 1−2, while the neutropenia cases were mostly grade 3−4. Bivariate analysis revealed no statistically significant differences in disease stratification, gender, body mass index, and serum albumin levels between patients with and without grade 3−4 neutropenia or between those with and without thrombocytopenia. Conversely, age, gender, and disease stratification were significantly different between those with and without anemia. In conclusions, ALL patients often experience hematotoxicity during maintenance phase therapy, especially those with grade 3−4 neutropenia. Anemia was more prevalent in males, in the younger age group, and in patients with standard risk stratification. Clinical article (J Int Dent Med Res 2019; 12(3): 1154-1161)