Miracle-dz/UniFAR-FTUs huggingface dataset:
GCNGAN: Translating Natural Language to Programming Language based on GAN

Cross-language translating has been well solved with the help of the processing of natural language processing(NLP). However, there are a few studies done about the domain of translating the natural language to programming snippets. Traditional method are mostly rule-based and limited to specific areas. In this paper, we propose a model based on Graph Convolutional Network(GCN)-Generative Adversarial Networks(GAN) to translate natural language to programming language. The generator is the encoder-decoder framework in which the encoder and the decoder are all bidirectional RNNs and GCN. And discriminator in GAN is also bidirectional RNNs and GCN. To improve the performance of semantic parsing, we also apply the attention mechanism to it. The experimental results indicate that our model has achieved comparable performance with some other state-of-the-art methods and has the stronger generalization ability.
Thickness-dependent gap energies in thin layers of Hf Te5

Hafnium pentatelluride (Hf Te5) is a layered two-dimensional material with various exotic properties. It is thought to be a topological insulator. Whereas bulk Hf Te5 has a small band gap, single layers are predicted to be a quantum spin hall insulator with a large band gap. Here we measured band gap energies for samples with varying thicknesses and found a clear increase of gap energies for the thinner samples. With decreasing thickness an increase of the measured band gap energies from 40 to 304 meV is observed.
Measurement report: CCN activity and its variation with organic oxidation level and volatility observed during aerosol life cycle intensive operational period (ALC-IOP)

Abstract. Cloud condensation nuclei (CCN) spectrum and the CCN activated fraction of size selected aerosols (SR-CCN) were measured at a rural site on Long Island during the Department of Energy (DOE) Aerosol Life Cycle Intensive Operational Period (ALC-IOP) from July 15 to August 15, 2011. During the last week of the ALC-IOP, the dependence of the activated fraction on aerosol volatility was characterized by sampling downstream of a thermodenuder operated at temperatures up to 100 ⁰C. Here we present aerosol properties, including aerosol total number concentration, CCN spectrum, and the CCN hygroscopicity for air masses of representative origins during the ALC-IOP. The hygroscopicity of organic species in the aerosol is derived from CCN hygroscopicity and chemical composition. The dependence of organic hygroscopicity on the organic oxidation level (e.g., atomic O:C ratio) agrees well with theoretical predictions and results from previous laboratory and field studies. The derived κorg and O:C ratio first increase as thermal denuder (TD) temperature increases from 20 ℃ (i.e., ambient temperature) to 50 or 75 ℃, then decreases as TD temperature further increases to 100 ℃. These trends are different from previous laboratory experiments and field observations, which reported that organic O:C increased monotonically with increasing TD temperature, whereas κorg decreased with the TD temperature. The initial increases of O:C and κorg with TD temperature below 50 ℃ are likely due to the evaporation of more volatile organics with relatively lower O:C and hygroscopicity such as primary OA. Previous studies were either focused on laboratory-generated SOA or based on field observations at locations dominated by SOA.
Development of Improved Semi-Automated Processing Algorithms for the Creation of Rockfall Databases

While terrestrial laser scanning and photogrammetry provide high quality point cloud data that can be used for rock slope monitoring, their increased use has overwhelmed current data analysis methodologies. Accordingly, point cloud processing workflows have previously been developed to automate many processes, including point cloud alignment, generation of change maps and clustering. However, for more specialized rock slope analyses (e.g., generating a rockfall database), the creation of more specialized processing routines and algorithms is necessary. More specialized algorithms include the reconstruction of rockfall volumes from clusters and points and automatic classification of those volumes are both processing steps required to automate the generation of a rockfall database. We propose a workflow that can automate all steps of the point cloud processing workflow. In this study, we detail adaptions to commonly used algorithms for rockfall monitoring use cases, such as Multiscale Model to Model Cloud Comparison (M3C2). This workflow details the entire processing pipeline for rockfall database generation using terrestrial laser scanning.
Unpaired medical image translation between portal-venous phase and non-contrast CT volumes for multi-organ segmentation

This paper proposes an unpaired medical image translation framework between portal-venous phase and non-contrast CT volumes. Image-to-image translation has immense potential application values in medical image analysis fields, such as segmentation. Currently, many deep learning-based segmentation methods have been proposed on contrast-enhanced CT volumes. However, for the patients who have contrast medium allergy, only non-contrast CT is available. Thus, segmentation using non-contrast CT volumes is also an important task. Image translation from non-contrast CT to contrast-enhanced CT is an alternative to solve this problem. In this work, we employed the cycle-consistent adversarial network (CycleGAN) and unpaired image-to-image network (UNIT) for image translation. To evaluate the translation performance for multi-organ segmentation, we trained a segmentation model using contrast-enhanced CT images with U-Net. Our experimental results show that image translation has a positive influence on multi-organ segmentation. The segmentation actuaries greatly improved by applying the image translation.
Practical insights for sales force digitalization success

Abstract Sales organizations are actively pursuing digitalization because they see value through greater efficiency and effectiveness. In this paper, we examine the challenges in implementing sales force digitalization and suggest ways in which organizations can overcome these challenges. We present a sales effectiveness framework and discuss how digitalization affects its key components, including customer strategy, organization design, talent management, customer engagement, and the supporting architecture. We propose a conceptual model for digitalization success which considers the digital readiness of the organization, usage and adoption of digital solutions by the sales force, and actions for driving sustained impact. We map three types of digitalization failure to this model, exploring the causes of slow progress, poor adoption, and low impact. Then, we share success factors for overcoming these challenges. These include getting the right team to lead the effort, using an agile approach, and putting the organizational support elements in place to sustain success. We present these success factors in the form of a checklist of critical dimensions that organizations tend to overlook. Finally, we discuss the value for practitioners, share limitations of the work, and propose areas for further research that can enhance our ideas and improve sales digitalization success rates.
Miniaturised planar antenna with enhanced gain characteristics for 5.2 GHz WLAN application

ABSTRACT In this paper, the construction of a miniaturised hexagonal microstrip antenna (MSA) loaded with Defected Ground Structure (DGS) and Metamaterial (MTM) superstrate proposed for 5.2 GHz WLAN application is presented. Initially, the fundamental resonant frequency of the hexagonal MSA was reduced from 14.8 GHz to 5.2 GHz using a rectangle DGS. For the suggested antenna model a miniaturisation of about 64.86% is achieved, which makes the antenna to approach electrically small antenna. Finally, the characteristics of MSA loaded with DGS and an MTM superstrate, which enhances the peak gain, directivity, and efficiency. The suggested miniaturised antenna with substrate dimensions of 0. 25λ0 × 0. 243λ0 mm2 (or) 14.4 × 14 mm2 of thickness h1 = 1.6 mm fabricated on an FR4 epoxy of dielectric constant 4.4. By employing an MTM superstrate, of RT Duriod substrate of thickness h2 = 1.575 mm above the proposed miniaturised hexagonal MSA at a height of h3 = 14.4 mm, a gain increased from 3.32 dBi to 6.38 dBi is attained at 5.2 GHz. The simulated outcomes of the suggested model are in association with experimental results of the prototype model.
Early Days of Two-Dimensional Ion Cyclotron Resonance

This contribution is an attempt to evoke the favorable atmosphere that prevailed in Lausanne around 1986 and provided the backdrop of our invention of two-dimensional ion cyclotron resonance mass spectroscopy (2D ICR-MS). To avoid a self-centered histoire d’ancien combattant, we shall try to emphasize the context: the contributions of key players within our nascent research group at UNIL and the established group of Tino Gäumann at EPFL, the role of external speakers, and the open atmosphere that was not yet polluted by bibliometrics, obsessive concern with impact factors, and top–down management of research. We shall also explain why the idea of 2D ICR-MS has been ignored for many years and still has a limited impact: different scientific cultures in the ICR and NMR communities, different concerns with fundamental vs. applied research, different status of theory and numerical simulations, different levels of commitment of instrument manufacturers, not to mention many theoretical problems that appear to be at least as challenging in ICR as in NMR.
Determination of Profit Quantification on Kelly Betting Based on Relative Entropy

ABSTRACT In 1956, John Kelly formulated an optimal strategy, the so-called ‘Kelly criterion’, for bidding at each step of a favorable game when the odds and probability of winning are known. The Kelly criterion is used to theoretically maximize long-run return. However, in practical situations, it is impossible to play a game for an unlimited time. In this study, we analyze the return of a game when a player must bid after a finite number of time steps. We demonstrate that the logarithm of the return of a game when bidding the optimal fraction (corresponding to the difference between the player’s belief probability of the event occurrence and the proportion of real outcomes) for finite-time steps. Moreover, the maximum of the logarithm of the return is achieved when the above two are equal. Finally, a few simulation experiments are conducted for illustrative purposes. We also present an example of a case in stock trading to demonstrate the practicality of this study.
Exploring the Voices of the Rif Hirak activism: The struggle for democracy in Morocco

ABSTRACT This article explores how the Rif Hirak activists perceive the legitimacy of the demands that were made vocal in the northern Rif of Morocco following the tragic death of a fishmonger in 2016. Given the lack of empirical studies, this article aims at stimulating more in-depth research into this neglected territory of knowledge. Accordingly, our major aim is to look at how these activists (i) perceive the emergence of the Rif Hirak Movement (ii) the basis on which they perceive the legitimacy of their demands and (iii) last how State’s approach towards these demands impacted youth emigration. To achieve this purpose, 15 activists were interviewed. The findings reported here strongly indicated the activists’ determination to the Voice option, mainly because of its legitimate basis. On the basis of this knowledge, the data gathered will be analyzed within the Voice, loyalty, and exit (EVL) framework.
Stable 3D seam tracking for thick plate GMAW manufacturing with T-joints using Kalman filter and machine learning

In this paper, a robust stable three-dimensional (3D) seam tracking method is investigate based on the Kalman filter (KF) and machine learning during the multipass gas metal arc welding process with a T-joint of 60 mm thickness. The laser vision sensor is used to profile the weld seam, and with the reference image captured before arcing a scheme is proposed to extract the variable weld seam profiles (WSPs) using scale-invariant feature transform and the clustering algorithm. An effective slope mutation detection method is presented to identify the feature points of the extracted WSP, namely the candidate welding positions. In order to lower the impact of fake welding positions on seam tracking, a Bayesian Network model is first built to implement fault detection and diagnosis for the visual feature measurement process using the involved process parameters and the trigger rule. A KF, as an estimator, is then established to further stabilize the tracking process combing with a self determination algorithm of the measurement result. With the visual calibration technology, 3D seam tracking is realized. Seam tracking results show that the proposed method overcomes the tremor of the tracking position and multiple fake candidate welding positions on tracking accuracy, and the tracking accuracy is 0.6 mm. This method provides potential industrial application value for industrial manufacturing with large-scale components.
Osteoarthritis in Italy: Impact on Health-Related Quality of Life and Health Care Resources

OBJECTIVE: To determine how osteoarthritis (OA) severity correlates with self-reported outcomes relevant from the patient’s perspective in the Italian clinical setting. METHODS: Data were drawn from the 2017-18 Adelphi OA Disease Specific ProgrammeTM (DSP). Data were collected in the Italian clinical practice settings by primary care physicians, rheumatologists, orthopedists, and their patients with OA, during their regular office visits. Physicians completed information about OA-related visits to healthcare professionals (HCPs), tests/scans conducted, emergency room (ER) visits, surgeries, and OA-related treatment. Physicians also rated patients’ functioning on a 0 to 10 scale (0 = fully functional; 10 = completely impaired). Outcomes included Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) score, functional limitations, treatment needs, EuroQoL-5 Dimension (EQ-5D) visual analogue scale (VAS), the work productivity and activity impairment. Descriptive statistics (numbers and percent for categorical variables; means with standard deviations [SD] for continuous variables) were used to evaluate the different variables as appropriate. RESULTS: The study population comprised 900 patients from Italy with knee (40.9%), back (38.7%), hip (27.9%), and/or shoulder (20.3%) OA. Mean age was 66.6 years with a prevalence of female (63%) patients. Patients had mild (26%), moderate (54%), severe (20%) disease severity. Patients with severe disease reported higher functional limitations, greater use of treatments, reduced quality of life, and impaired work productivity and activity. The burdens were higher among elderly and obese patients and in patients with highest pain severity score. CONCLUSIONS: The results from this cross-sectional study show the impact of OA disease severity on all dimensions of health-related quality of life (HRQoL), as well as in OA-related health care resource use.
Surveillance for low-risk kidney cancer: a narrative review of contemporary worldwide practices

The management trend of low-risk kidney cancer over the last decade has been from treatment with radical nephrectomy, to use of nephron sparing procedures of partial nephrectomy and ablation, as well as the option of active surveillance (AS). This narrative review aims to summarise the available guidelines related to AS and review the published descriptions of regional practices on the management of low-risk kidney cancer worldwide. A search of PubMed, Google Scholar and Cochrane Library databases for studies published 2010 to June 2020 identified 15 studies, performed between 2000 and 2019, which investigated 13 different cohorts of low-risk kidney cancer patients on AS. Although international guidelines show a level of agreement in their recommendation on how AS is conducted, in terms of patient selection, surveillance strategy and triggers for intervention, cohort studies show distinct differences in worldwide practice of AS. Prospective studies showed general agreement in their predefined selection criteria for entry into AS. Retrospective studies showed that patients who were older, with greater comorbidities, worse performance status and smaller tumours were more likely to be managed with AS. The rate of percutaneous renal mass biopsy varied between studies from 2% to 56%. The surveillance protocol was different across all studies in terms of recommended modality and frequency of imaging. Of the 6 studies which had set indications for intervention, these were broadly in agreement. Despite clear criteria for intervention, patient or surgeon preference was still the reason in 11–71% of cases of delayed intervention across 5 studies. This review shows that AS is being applied in a variety of centres worldwide and that key areas of patient selection criteria and surveillance strategy have large similarities. However, the rate of renal mass biopsy and of delayed intervention varies significantly between studies, suggesting the process of diagnosing malignant SRM and decision making whilst on AS are varying in practice. Further research is needed on the diagnosis and characterisation of incidentally found small renal masses (SRM), using imaging and histology, and the natural history of these SRM in order to develop evidence-based active surveillance protocols.
Sustainability in additive manufacturing: Exploring the mechanical potential of recycled PET filaments

Herein, the effects of recycled polymers on the mechanical properties of additively manufactured specimens, specifically those derived by fused deposition modelling, are determined. The intention is to investigate how 3D-printing can be more sustainable and how recycled polymers compare against conventional ones. Initially, sustainability is discussed in general and more sustainable materials such as recycled filaments and biodegradable filaments are introduced. Subsequently, a comparison of the recycled filament recycled Polyethylene terephthalate (rePET) and a conventional Polyethylene terephthalate with glycol (PETG) filament is drawn upon their mechanical performance under tension, and the geometry and slicing strategy for the 3D-printed specimens is discussed. Finally, the outcomes from the experiments are compared against numerically determined results and conclusions are drawn.
Climate Change Consensus Messages Cause Reactance

ABSTRACT Several recent studies have debated whether climate change consensus messages cause reactance, although they sometimes employ different procedures and measurement. This study uses procedures and measures from competing studies to allow for a comparison of the respective approaches. We find that climate change consensus messages cause reactance, particularly among Republicans and those who do not believe in anthropogenic climate change. These findings highlight concerns that consensus messaging strategies may be ineffective or backfire among audiences that science communicators are most keen to target.
Wideband tightly‐coupled dual‐line polarized P‐band antenna array with low‐profile lightweight metal structure

In this article, an all‐metal structure antenna array is proposed. The novel hollow‐out structures are designed to achieve low profile and lightweight. The top structure of the element is also tightly coupled, once again lowering the antenna array profile. The overall size of the array is 1354.0 × 1354.0 mm2, the spacing between elements is 323.0 mm. The optimized array‐structure profile is only 0.12 λ0 (λ0 corresponds to the wavelength of 0.4 GHz). In addition, an excellent dual‐line polarization radiation is achieved by using a cross‐staggered arrangement. Both polarizations of the array have a cross‐polarization‐level of smaller than −30 dB. In order to verify the feasibility of the scheme, prototype processing and testing are carried out, and the test results are consistent with the simulation results. The frequency band covers the P‐band (0.4‐0.7 GHz). The active voltage standing wave ratios (VSWRs) are less than 2.0. In addition, the antenna array has favorable radiation characteristics. The measured realized gain varies from 14.7 to 19.6 dBi over the work band. The total antenna efficiency is higher than 83%. It can be applied to phased arrays for the satellite system and other broadband lightweight metal antennas.
A Methodological Assessment Based on a Systematic Review of Circular Economy and Bioenergy Addressed by Education and Communication

The circular economy and bioenergy are essential strategies for combatting climate change. In the last 10 years, there has been an increase in research on this subject by different disciplines. Educational and communication approaches may prompt a change to make citizens agents of change in the environmental struggle. Therefore, evaluating their level of methodological formalisation allows the identification of characteristics of the research carried out, and to ascertain where academic studies in these disciplines are aimed. Through a systematic literature review (SLR) applying the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) model, literature from 2009 to 2019 was identified on the Web of Science, Scopus and Google Scholar, using Publish or Perish software to obtain it. A qualitative and quantitative synthesis of the results was carried out, using cluster analysis and statistic percentages, and comparing column proportions. The analysis of the articles (n = 74) focused on collection techniques, data typology, characteristics of samples and analysis techniques, and showed that the majority were descriptive, oriented toward presenting proposals on educational intervention, with small samples and basic analytical techniques. Despite consistency in the corpus of the research, it is concluded that the studies had a low level of methodological formalisation, which indicates it they were generally related to exploratory research with limited scope, addressing a limited part of the object of study.
Hokkaido: from the “Road to the Northern Sea” to “Japan's gateway to the Arctic”

ABSTRACT Despite the recent global interest in the Arctic, the concepts of the North, Northernness, and Arcticness are rarely discussed in the context of East Asia. Yet, the North has significantly affected the developmental paths of East Asia both as a geographical direction, and as an (imaginary) object associated with changing fears, hopes, and uncertainties. This research adds to the relatively scant literature on this topic by elaborating on Hokkaido's exceptional role in Japan's relationship with and understanding of the North. This study analyzes Hokkaido's path from a domestic colony and the northern frontier of the expanding and eventually collapsing Japanese empire, to an actor advancing initiatives in international forums and gaining the central government's recognition as Japan's gateway to the North and the Arctic. During this process, Hokkaido's representation of its northern location and cold climate have evolved, at least partially, from a focus on the perceived causes of underdevelopment to a concentration on the assets contributing to economic possibilities and a better quality of life. Rather than focusing on geophysical, climatological, or environmental conditions, this research approaches regions as constantly evolving sociocultural and political constructions.