Miracle-dz/UniFAR-FTUs huggingface dataset:
Complexity of the NTU International Matching Game

Motivated by the real-world problem of international kidney exchange, [Bir(cid:243) et al., Generalized Matching Games for International Kidney Exchange, 2019] introduced a generalized transferable utility matching game featuring a partition of the node set into countries, and analyzed its complexity. We explore the non-transferable utility (NTU) variant of the game and prove computational complexity results about the weak and strong cores under various assumptions on the countries.
SUSTAINABLE GOVERNANCE IMPACT ON CORPORATE PERFORMANCE

The first objective of this study is to examine the relationship between the size of the Board of Directors and audit committee on the company’s financial performance; the second is to test the size of the Board of Directors and the audit committee on the implementation of Enterprise Risk Management (ERM); the third is to examine the relationship of the application of ERM on the company’s financial performance;, and fourth is to test the relationship of the size of the Board of Directors and audit committee on the company’s financial performance when mediated by the adoption of ERM. The research sample is 70 firm-years Indonesian non-financial companies listed during 2013-2016. Structural equation Modeling (SEM) with the WarpPLS approach has been used for data analysis. The results showed that the size of the Board of Directors affected the company’s financial performance, while the size of the audit committee did not affect the financial performance. The size of the Board of Directors and the audit committee influence the implementation of ERM. The application of ERM affects the company’s financial performance. The application of ERM mediates partially the relationship between the size of the Board of Directors and the company’s financial performance, but the application of ERM does not mediate the relationship between the size of the audit committee and the company’s financial performance. The results of the study have implications for agency theory and resource dependence theory where a large Board of Directors is a solution to the problem of resources for supervision in improving organizational performance through the effective implementation of ERM.
Simulation of Majorana Bound States in Multi-Band Josephson Junction Nanowires

Majorana bound states can be created at the ends of semiconducting nanowires using a combination of proximity-induced superconductivity, spin-orbit coupling and a magnetic field. By adding a Josephson junction to this nanowire, four Majorana bound states can exist at the same time in the system. In this thesis I aim to examine the impact that the barrier in Josephson junctions has on the energy states in multi-band nanowires. This is done through simulations using a tight-binding model. The thesis will focus on how Majorana bound states in the system will be influenced by different widths and heights of the Josephson junction barrier through calculations of the Majorana coupling energy and the energy gap to the nearest excited state. By choosing a larger barrier width the system will require a smaller voltage to achieve four Majorana bound states, but be more susceptible to changes in the excited states. This result will only appear in multi-band models. The study indicates that Majorana bound states will behave differently in different energy bands and that the choice of barrier width is non-trivial in order to avoid influences from excited states.
Comparative studies of density functionals in modelling hydrogen bonding energetics of acrylamide dimers

Intermolecular interaction energies and conformer geometries of the hydrogen bonded acrylamide dimers have been studied by using the second-order Møller-Plesset (MP2) perturbation theory and the density functional theory (DFT) with 17 density functionals. Dunning’s correlation consistent basis sets (up to aug-cc-pVTZ) have been used to study the basis set effects. The DFT calculated interaction energies are compared to the reference energy data calculated by the MP2 method and the coupled cluster method at the complete basis set (CCSD(T)/CBS) limit in order to determine the relative performance of the studied density functionals. Overall, dispersion-energy-corrected density functionals outperform uncorrected ones. The ωB97XD density functional is particularly effective in terms of both accuracy and computational cost in estimating the reference energy values using small basis sets and is highly recommended for similar calculations for larger systems.
The Counteracting Effects of Credit Constraints on Productivity: Theory and Evidence Philippe Aghion (College de France and LSE)

Financial constraints may have counteracting effects on aggregate innovation and growth. We develop a model that shows that, on the one hand, a decrease in financial constraints makes it easier for good innovators to further innovate, while, on the other hand, it allows less efficient incumbent firms to remain on the market, thereby discouraging entry and the reallocation of resources to more efficient firms. Our contribution stems from the combination of those two effects that have so far largely been studied on their own. Using a large French firm-level dataset and an unexpected exogenous shock to firm-level financial constraints, we identify these two counteracting effects. At the aggregate level, we find an overall concave effect of credit constraints on growth and offer an explanation for the dynamics behind the low constraints and low productivity growth that we observe in developed economies for already several years. ∗Addresses: Aghion: Collge de France and LSE, Bergeaud: Banque de France (antonin.bergeaud@banquefrance.fr), Cette: Banque de France and AMSE, Lecat: Banque de France and AMSE, Maghin: Banque de France. The authors wish to thank without implicating Guillaume Horny, Charles O’Donnell and Jean-Marc Robin for their valuable advice and remarks. Opinions and conclusions herein are those of the authors and do not necessarily represent the views of the Banque de France or the Eurosystem.
Beyond substitutions: the spectral theory of regular sequences

Regular sequences are natural generalisations of fixed points of constant-length substitutions on finite alphabets, that is, of automatic sequences. Indeed, a regular sequence that takes only finitely many values is automatic. Given a $k$-regular sequence $f$, there is an associated vector space $\mathcal{V}_k(f)$, which is analogous to the substitution dynamical system induced by a given substitution. Using the harmonic analysis of measures associated to substitutions as motivation, we study the long range order of both $f$ and $\mathcal{V}_k(f)$ by treating them as dynamical objects and constructing a systematic measure-theoretic framework surrounding regular sequences.
Active Components and Pharmacological Action of Integripetal Rhodiola Herb

Integripetal rhodiola herb is the Rhodiola L.plant,which has multifarious species and is distributed widely.It contains many chemical components,the main ones are salidroside,tyrosol and polysaccharide.Besides,there are flavanoid,phenolic compounds,proteins,fat,essential oil,trace elements and amino acids.Integripetal rhodiola herb has the effects of anti-aging,anti-fatigue,anti-hypoxia,anti-radiation,accommodation of neural system,heart and blood system and immunity.In this paper,the chemical components and pharmaceutical action of integripetal rhodiola herb are reviewed.
Comparison of Long-term Downward Radiation Observations at Tateno with JRA-25 and ERA-40

INTRODUCTION Aerological Observatory of Japan Meteorological Agency (Tateno) has been carrying out long-term observation of shortwave and longwave radiation at surface since 1957, International Geophysical Year (IGY). Tateno is one of the stations of WCRP Baseline Surface Radiation Network (BSRN) (Ohmura et al., 1998) and has been providing accurate radiation data to researchers from 1996 via the BSRN data archive. In recent years, several long-term reanalyses were conducted to produce global homogeneous datasets of atmospheric physical parameters for more than several decades. Among of them, JRA-25 and ERA-40 provide high quality datasets with high temporal and spatial resolution (Onogi et al., 2007, Uppala et al., 2005). In these reanalyses, many atmospheric parameters such as surface air temperature and precipitation are well represented. In this study, the downward shortwave and longwave radiation at surface of the reanalyses are compared with observations at Tateno over a long period to assess their quality.
Skin Color Based Facial Features Extraction

This paper discusses on facial features extraction based on proposed skin color model. Different parts of face from input image are segmented based on skin color model. Moreover, this paper also discusses on concept to detect the eye and mouth position on face. A height and width ratio ( δ = 1.1618) based technique is also proposed to accurate detection of face region from the segmented image. Finally, we have cropped the desired part of the face. This exactly exacted face part is useful for face recognition and detection, facial feature analysis and expression analysis. Experimental results of propose method shows that the proposed method is robust and accurate.
KRED: Knowledge-Aware Document Representation for News Recommendations

News articles usually contain knowledge entities such as celebrities or organizations. Important entities in articles carry key messages and help to understand the content in a more direct way. An industrial news recommender system contains various key applications, such as personalized recommendation, item-to-item recommendation, news category classification, news popularity prediction and local news detection. We find that incorporating knowledge entities for better document understanding benefits these applications consistently. However, existing document understanding models either represent news articles without considering knowledge entities (e.g., BERT) or rely on a specific type of text encoding model (e.g., DKN) so that the generalization ability and efficiency is compromised. In this paper, we propose KRED, which is a fast and effective model to enhance arbitrary document representation with a knowledge graph. KRED first enriches entities’ embeddings by attentively aggregating information from their neighborhood in the knowledge graph. Then a context embedding layer is applied to annotate the dynamic context of different entities such as frequency, category and position. Finally, an information distillation layer aggregates the entity embeddings under the guidance of the original document representation and transforms the document vector into a new one. We advocate to optimize the model with a multi-task framework, so that different news recommendation applications can be united and useful information can be shared across different tasks. Experiments on a real-world Microsoft News dataset demonstrate that KRED greatly benefits a variety of news recommendation applications.
Are Part-Time Workers Less Productive? Evidence from a Randomized Trial in Ethiopia

We study self-selection of workers into part-time jobs and its implications for productivity. In recruiting for data entry work in Ethiopia, we surveyed 20,595 households and randomly offered part-time or full-time job opportunities to 6,236 job-eligible women. We find that the part-time job attracts applicants with stronger preference to shorter working hours and lower job-specific skills. Also, they exhibit lower productivity during the training as measured by data entry speed. Demographics, socioeconomic status, and attitudes toward work do not explain the selection effects. (JEL J24, O15, M51)
A-mode Ultrasound Driven Sensor Fusion for Hand Gesture Recognition

Traditionally, Surface electromyography (sEMG) has been the predominant method of sensing muscle activity in order to control myoelectric prosthesis. While many prosthesis control schemes used simple direct control, an ever increasing focus has moved to pattern recognition based approaches which promise a greater degree of natural control such as to further improve an amputees quality of life. Although pattern recognition based approaches have shown great promise, they have innate limitations due to changes that may occur during long term use which prevent clinical acceptance. Due to these limitations, researchers have increasingly investigated alternative modalities to provide more robust control schemes. A particular modality that has seen increasing interest is ultrasound based sensing due to its capability to better understand deep tissue activity.Within this research, A-mode ultrasound based sensing is proposed not as a replacement for sEMG based sensing but instead to augment and drive sEMG based sensing during activities that may otherwise prove challenging to traditional sEMg based control schemes.
Exploring galaxies-gravitational waves cross-correlations as an astrophysical probe

Gravitational waves astronomy has opened a new opportunity to study the Universe. Full exploitation of this window can especially be provided by combining data coming from gravitational waves experiments with luminous tracers of the Large Scale Structure, like galaxies. In this work we investigate the cross-correlation signal between gravitational waves resolved events, as detected by the Einstein Telescope, and actively star-forming galaxies. The galaxies distribution is computed through their UV and IR luminosity functions and the gravitational waves events, assumed to be of stellar origin, are self-consistently computed from the aforementioned galaxies distribution. We provide a state-of-the-art treatment both on the astrophysical side, {taking} into account the impact of the star formation and chemical evolution histories of galaxies, and in computing the cross-correlation signal, for which we include lensing and relativistic effects. {We find that the measured cross-correlation signal can be sufficiently strong to overcome the noise and provide a clear signal. As a possible application of this methodology, we consider a proof-of-concept case in which we aim at discriminating a metallicity dependence on the compact objects merger efficiency against a reference case with no metallicity dependence. } When considering galaxies with a Star Formation Rate ψ > 10 M⊙/yr, a Signal-to-Noise ratio around a value of 2–4 is gained after a decade of observation time, depending on the observed fraction of the sky. This formalism can be exploited as an astrophysical probe and could potentially allow to test and compare different astrophysical scenarios.
Efectivitat de l’entrenament neuromuscular propioceptiu en la prevenció de lesions de lligament creuat anterior en jugadores adolescents de futbol femení. Revisió sistemàtica

PREGUNTA DE REVISIO. Es efectiu l’entrenament neuromuscular propioceptiu per a la prevencio de lesions de lligament creuat anterior en jugadores adolescents de futbol femeni? OBJECTIU. General: Analitzar l’efectivitat de l’entrenament neuromuscular propioceptiu en la prevencio de lesions de lligament creuat anterior en jugadores adolescents de futbol femeni. Especifics: Comparar l’efectivitat dels programes preventius neuromusculars en LCA existents en l’actualitat, identificar els diferents tipus d’exercicis que el formen i determinar els parametres de carrega optima de treball mes efectius. METODOLOGIA. Estrategia de cerca: Es realitza una cerca bibliografica durant els mesos de desembre de 2017 i maig de 2018 en les bases de dades Medline, PEDro i Science Direct. Criteris de seleccio: assajos clinics experimentals de control aleatori publicats des de l’any 2012 fins l’actualitat que incloguin programes d’entrenament neuromuscular per la prevencio de la lesio de lligament creuat anterior en jugadores adolescents de futbol. Recopilacio i analisi de les dades: Es va realitzar una avaluacio de la qualitat metodologica dels articles seleccionats per la revisio que complien els criteris d’inclusio a traves del “Critical Review Form-Quantitative Studies”, aixi com el nivell d’evidencia i el grau de recomanacio mitjancant l’escala CEBM. RESULTATS. Es van incloure cinc estudis de bona, molt bona i excel·lent qualitat metodologica publicats entre 2012 i 2018. Van comprendre un total de 4995 jugadores de futbol adolescents entre 12 i 18 anys. CONCLUSIO. Els estudis inclosos en aquesta RS mostren resultats significatius en relacio a l’efectivitat del tractament amb programes de prevencio neuromusculars propioceptius modificant diferents factors com els biomecanics o neuromusculars. Es necessiten mes estudis actuals que permetin determinar un protocol de treball de prevencio mes eficac en la lesio de LCA en aquesta poblacio d’estudi en concret.
Emerging Role of Indian Post in Financial Inclusion and Socio-Economic Empowerment

Financial inclusion is the apparatus of ensuring access to financial services along with timely and adequate credit whenever needed by the vulnerable groups at an affordable cost. India, a growing economy has special significance of financial inclusion as it brings large disadvantaged sections of the society under financial ambit. Post offices as banks offered a trustworthy and extensive network that was directly accessible to scattered rural communities. This access to financial services generates income, decreases socialeconomic disparities, creates financial assets, promotes area development and provides new work opportunities across all sectors and sections of the economy. The present study is an attempt to assess the effectiveness of Indian post in financial inclusion and social & economic empowerment in Jammu division of Jammu & Kashmir State. Both primary and secondary data were used for conducting study. For primary data questionnaires were distributed to draw response from beneficiaries of post offices, 750 responses derived, giving the response rate of 71.42%. Secondary data were collected using internet, journals and related annual reports of the institutions. Raw data from 750 respondents was purified using EFA, CFA and SEM. It is suggested to ease the procedure of obtaining savings & insurance products and revise the limit of interest from time to time so as to meet the basic necessities of life and improve the socioeconomic conditions of the beneficiaries.
Recognizing Object Affordances to Support Scene Reasoning for Manipulation Tasks.

Affordance information about a scene provides important clues as to what actions may be executed in pursuit of meeting a specified goal state. Thus, integrating affordance-based reasoning into symbolic action plannning pipelines would enhance the flexibility of robot manipulation. Unfortunately, the top performing affordance recognition methods use object category priors to boost the accuracy of affordance detection and segmentation. Object priors limit generalization to unknown object categories. This paper describes an affordance recognition pipeline based on a category-agnostic region proposal network for proposing instance regions of an image across categories. To guide affordance learning in the absence of category priors, the training process includes the auxiliary task of explicitly inferencing existing affordances within a proposal. Secondly, a self-attention mechanism trained to interpret each proposal learns to capture rich contextual dependencies through the region. Visual benchmarking shows that the trained network, called AffContext, reduces the performance gap between object-agnostic and object-informed affordance recognition. AffContext is linked to the Planning Domain Definition Language (PDDL) with an augmented state keeper for action planning across temporally spaced goal-oriented tasks. Manipulation experiments show that AffContext can successfully parse scene content to seed a symbolic planner problem specification, whose execution completes the target task. Additionally, task-oriented grasping for cutting and pounding actions demonstrate the exploitation of multiple affordances for a given object to complete specified tasks.
Chromatic Dispersion Compensation for VCSEL Transmission for Applications such as Square Kilometre Array South Africa

In addition to attenuation, optical fibre transmission suffers significant penalty from dispersion related effects. We theoretically and experimentally investigate the compensation of chromatic dispersion of 4.25 Gbps 1550 nm vertical cavity surface emitting laser (VCSEL) transmission using inverse dispersion fibre. Simulated results show that inverse dispersion fibre can compensate up to 3.7 dB on a 35 km ITU-T G.652 fibre. The residual dispersion penalties are small, thus effective compensation is achieved. In an experimental demonstration, a 25.4 km low water peak (LWP) fibre with a low negative dispersion value was found to improve the signal clarity when combined with a G.652 fibre. Inverse dispersion fibres cancel the cumulated dispersion in transmitting fibres, hence improving the VCSEL transmission significantly. This is a cost effective and simple chromatic dispersion mitigation technique, suitable for square kilometre array application as the transmission distances increase at different construction phases.
Semantic Relations and Deep Learning

The second edition of "Semantic Relations Between Nominals" (by Vivi Nastase, Stan Szpakowicz, Preslav Nakov and Diarmuid O Seaghdha) will be published by Morgan & Claypool. A new Chapter 5 of the book discusses relation classification/extraction in the deep-learning paradigm which arose after the first edition appeared. This is a preview of Chapter 5, made public by the kind permission of Morgan & Claypool.
Pro-competitive effects of globalisation on prices, productivity and markups in the Euro Area*

Global trade has recently slowed down after a peak in the 1990s and early 2000s. Existing literature shows evidence of pro-competitive effects of trade liberalisation during this booming period on prices, productivity and markups. The goal of this paper is to assess whether such pro-competitive effects are still carried on in the manufacturing industry of five Euro Area countries (Austria, Germany, Spain, France and Italy). Our analysis is based on Melitz and Ottaviano (2008) theoretical framework and its empirical setup by Chen et al. (2004, 2009). Our contribution is twofold. First, we carry out a sectoral analysis to shed light on sectors in which price competition is dominant over quality competition. Second, unlike the existing papers we consider global value chains, by measuring trade in value added terms. Our main findings confirm the relevance of a sectoral analysis to assess the pro-competitive effect of globalisation, given the heterogeneity across sectors and countries. Furthermore, measuring trade in value added terms and not in gross terms improves the quality of estimation and is a better measure of trade liberalisation.