Miracle-dz/UniFAR-FTUs huggingface dataset:
Open-source QCD analysis of nuclear parton distribution functions at NLO and NNLO

We present new sets of nuclear parton distribution functions (nPDFs) at next-to-leading order and next-to-next-to-leading order. Our analyses are based on deeply inelastic scattering data with charged-lepton and neutrino beams on nuclear targets. In addition, a set of proton baseline PDFs is fitted within the same framework with the same theoretical assumptions. The results of this global QCD analysis are compared to existing nPDF sets and to the fitted cross sections. Also, the uncertainties resulting from the limited constraining power of the included experimental data are presented. The published work is based on an open-source tool, xfitter, which has been modified to be applicable also for a nuclear PDF analysis. The required extensions of the code are discussed as well.
Supplementary material for ‘A Nonparametric Approach to High-dimensional k-sample Comparison Problems’

This supplementary document contains thirteen sections. The ﬁrst section provides an intuitive understanding of the special nonparametric polynomial basis called LP-basis. Next few sections discuss the performance of our proposed method under pairwise comparison, class imbalance problem, discrete data alternatives, correlation structure alternatives with ﬁxed marginal distributions, and local alternatives. Then we examine some other practical details of our methodology, along with its application for geneset enrichment analysis. The last section provides a guide on how to use our R-package LPKsample based on Leukemia data.
Zero-shot Feature Selection via Exploiting Semantic Knowledge

Feature selection plays an important role in pattern recognition and machine learning systems. Supervised knowledge can significantly improve the performance. However, confronted with the rapid growth of newly-emerging concepts, existing supervised methods may easily suffer from the scarcity of labeled data for training. Therefore, this paper studies the problem of Zero-Shot Feature Selection, i.e., building a feature selection model that generalizes well to "unseen" concepts with limited training data of "seen" concepts. To address this, inspired by zero-shot learning, we use class-semantic descriptions (i.e., attributes) which provide additional semantic information about unseen concepts as supervision. In addition, to seek for more reliable discriminative features, we further propose a novel loss function (named center-characteristic loss) which encourages the selected features to capture the central characteristics of seen concepts. Experimental results on three benchmarks demonstrate the superiority of the proposed method.
3-D Wave-Equation-Based Finite-Frequency Tomography for Ultrasound Computed Tomography

Ultrasound computed tomography (USCT) has great potential for 3-D quantitative imaging of acoustic breast tissue properties. Typical devices include high-frequency transducers, which makes tomography techniques based on numerical wave propagation simulations computationally challenging, especially in 3-D. Therefore, despite the finite-frequency nature of ultrasonic waves, ray-theoretical approaches to transmission tomography are still widely used. This article introduces a finite-frequency traveltime tomography to medical ultrasound. In addition to being computationally tractable for 3-D imaging at high frequencies, the method has two main advantages: 1) it correctly accounts for the frequency dependence and volumetric sensitivity of traveltime measurements, which are related to off-ray-path scattering and diffraction. 2) It naturally enables out-of-plane imaging and the construction of 3-D images from 2-D slice-by-slice acquisition systems. Our method rests on the availability of calibration data in water, used to linearize the forward problem and to provide analytical expressions of cross correlation traveltime sensitivity. As a consequence of the finite-frequency content, sensitivity is distributed in multiple Fresnel volumes, thereby providing out-of-plane sensitivity. To improve computational efficiency, we develop a memory-efficient implementation by encoding the Jacobian operator with a 1-D parameterization, which allows us to extend the method to large-scale domains. We validate our tomographic approach using laboratory measurements collected with a 2-D setup of transducers and using a cylindrically symmetric phantom. We then demonstrate its applicability for 3-D reconstructions by simulating a slice-by-slice acquisition system using the same data set.
Deep Density-aware Count Regressor

We seek to improve crowd counting as we perceive limits of currently prevalent density map estimation approach on both prediction accuracy and time efficiency. We leverage multilevel pixelation of density map as it helps improve SNR of training data and therefore, reduce prediction error. To achieve a better model, we introduce multilayer gradient fusion for training a density-aware global count regressor. More specifically, on training stage, a backbone network receives gradients from multiple branches to learn the density information, whereas those branches are to be detached to accelerate inference. By taking advantages of such method, our model improves benchmark results on public datasets and exhibits itself to be a new solution to crowd counting problems in practice.
Elimination of Extreme Boundary Scattering via Polymer Thermal Bridging in Silica Nanoparticle Packings: Implications for Thermal Management

Recent advances in our understanding of thermal transport in nanocrystalline systems are responsible for the integration of new technologies into advanced energy systems, including thermoelectric refrigeration systems and renewable energy platforms. However, there is little understanding of heat energy transport mechanisms that govern the thermal properties of disordered nanocomposites. In this work, we explore thermal transport mechanisms in disordered packings of amorphous nanoparticles with and without a polymer filling the interstices in order to quantify the impact of thermal boundary scattering introduced at nanoparticle edges in an already amorphous system and within the context of a minimum thermal conductivity approximation. By fitting a modified minimum thermal conductivity model to temperature-dependent measurements of thermal conductivity from 80 K to 300 K, we find that the interstitial polymer {\it eliminates} boundary scattering in the disordered nanoparticle packing, which surprisingly leads to an {\it increase} in the overall thermal conductivity of the disordered nanoparticle thin-film composite. This is contrary to our expectations relative to effective medium theory and our understanding of a minimum thermal conductivity limit. Instead, we find that a stiff interstitial material improves the transmission of heat through a nanoparticle boundary, improving the thermal properties of disordered nanoparticle packing. We expect these results to provide insight into the tunability of thermal properties in disordered solids that exhibit already low thermal conductivities through the use of nanostructuring and vibrational thermal bridging.
Measurement of Love wave propagation characteristics along elastic substrate and viscoelastic surface layer 粘弾性表面層を有する弾性体における Love 波伝搬特性の測定

Measurements of material properties using elastic waves have been widely used in various engineering fields. Elastic wave can be roughly classified mainly as bulk wave, surface acoustic wave (SAW) and guided wave, and are utilized as visualization of biomedical tissue or non-destructive evaluation to long distance structure. In particular, at viscoelastic evaluation field, Morita et al. have reported a method using shear-horizontal surface acoustic wave (SH-SAW). By using SH-SAW, which propagates along surface of piezoelectric substrate, shear modulus and viscosity can be measured from the propagation characteristics. It is one of the best solution to evaluate material viscoelasticity in small quantity. However, SH-SAW can propagate only surface of piezoelectric substrate. Moreover, viscoelastic evaluation area is limited within dimensions of the piezoelectric substrate. Therefore, viscoelastic evaluation using SH-SAW may not suitable for viscoelastic evaluation that distributed over wide area. In this study, to evaluate material viscoelasticity in wide area, the author proposes viscoelastic evaluation method using Love wave Love wave is the shear horizontal wave propagating along substrate on surface layer. Love wave does not require piezoelectricity of substrate, therefore material viscoelasticity of surface layer on non-piezoelectric substrate can be evaluated. The authors have reported calculation method of propagation characteristic from displacement of Love wave and estimation method of viscoelastic constants from propagation characteristics of Love wave. 6) In this paper, as pilot study, displacement of Love wave is measured using lase Doppler vibrometer, and phase velocity of Love wave is calculated by using measured displacement.
- 1-Transactional Efficiency and Public Promotion of renewables in the Electric Industry : The choice between structures of hybrid governance

By recourse to the Williamson and Goldberg’s transactional analysis, this paper compares the relative efficiency of three institutional devices, recently implemented by some countries to promote renewable energies in electricity generation. These devices are identified as structures of hybrid governance because they are composed of two complementary contracts articulated around an obligation of purchases imposed upon some electricity market players. This contractual duality puts first in relation the public authority mandated by the citizens and the mandated purchasers (generally the electricity suppliers); then it shows the relation between these purchasers and the producers that are candidates for investment in renewable energy sources (RES). For the attributes of the transactions held in the context of these contracts are identified, and an analysis is made of the three governance structures’ sensitivity to the risk of hold-up: the guaranteed feed-in tariffs, the bidding system for longterm contracting, and the exchangeable quotas system.
Quark Mass Effects in Higgs Boson Production with HEJ 4 2 . 1 Finite Mass Dependence in qQ → qHQ

The production of a Higgs boson in association with at least two jets receives contributions both from the fusion of weak vector bosons (VBF) and from QCD processes, especially gluon fusion (GF). The former process is important for measuring the coupling of the Higgs boson to weak bosons, whereas the latter process plays an important role in determining any CP -admixtures in the Higgs sector. In this paper we go beyond the current state-of-the-art for fixed order calculations of the GF process (i.e. one loop H+2j including full quark mass effects) by including the all-order effects in leading log(ŝ/pt ), together with full quark mass and loop-propagator kinematic effects. We calculate the mass-dependent components and implement the resummation within the framework of High Energy Jets. The high-energy effects suppress the prediction compared to fixed order at large ∆y12 and mjj (and therefore within the usual VBF cuts of widely separated jets), just as found in the limit of mt → ∞. The mass dependence is more significant than at fixed order, because the systematic inclusion of the leading logarithms in ŝ/pt results in a hardening of the transverse momentum of the Higgs boson, which in turn probes in more detail the loop-structure of the coupling. In particular, the full mass dependence reduces the cross section within VBF cuts by 11% compared to a calculation based just on the infinite top mass limit, but the impact of the bottom quark remains small. This all implies that the gluon-fusion contribution within VBF-cuts is less severe than current estimates suggest.
New species of Kromtitis Müller, 1984 (Decapoda: Brachyura: Dynomenidae) from the Eocene of Iberian Peninsula

A new species of a fossil brachyuran decapod crustacean, Kromtitis lluisprietoi sp. nov. (Dynomenidae, Paradynomeninae), from the Lutetian (middle Eocene) outcrops of Alicante province (Spain), is described. Kromtitis is a genus of dynomenid crabs, known only from the fossil record, characterized by a dorsal carapace with areolate morphology, with rounded tubercles ornate with granules, and irregular lateral teeth. In contrast to its congeners, Kromtitis lluisprietoi sp. nov. has less vaulted carapace with areolate regions bearing raised tubercles ornamented with granules. The genus Kromtitis is well-known from several species reported from the Eocene strata of northern Italy and Hungary. Kromtitis lluisprietoi sp. nov. represents the first record of the genus from the Iberian Peninsula. Àlex Ossó. Llorenç de Villalonga, 17B, 1er-1a 43007-Tarragona, Catalonia. aosso@comt.cat
A Novel Dataset For Intelligent Indoor Object Detection Systems

Indoor Scene understanding and indoor objects detection is a complex high-level task for automated systems applied to natural environments. Indeed, such a task requires huge annotated indoor images to train and test intelligent computer vision applications. One of the challenging questions is to adopt and to enhance technologies to assist indoor navigation for visually impaired people (VIP) and thus improve their daily life quality. This paper presents a new labeled indoor object dataset elaborated with a goal of indoor object detection (useful for indoor localization and navigation tasks). This dataset consists of 8000 indoor images containing 16 different indoor landmark objects and classes. The originality of the annotations comes from two new facts taken into account: (1) the spatial relationships between objects present in the scene and (2) actions possible to apply to those objects (relationships between VIP and an object). This collected dataset presents many specifications and strengths as it presents various data under various lighting conditions and complex image background to ensure more robustness when training and testing objects detectors. The proposed dataset, ready for use, provides 16 vital indoor object classes in order to contribute for indoor assistance navigation for VIP.
Fiscal Competition and Coordination: Evidence from China

This paper intends to provide causal evidence on fiscal competition and coordination between local governments. We first introduce a unique empirical setting created by the combination of two national programs in China, the “Rural School Consolidation (RSC)” program and the “Special Economic Zones (SEZs)” program, in which spatially adjacent townships have discontinuous incentives to either compete or coordinate with a neighboring SEZ. Exploiting such quasi-experimental variation with a spatial-discontinuity design, we find a series of empirical evidence on the existence of competition and coordination between local governments, which can be formally rationalized by a simple model where asymmetric jurisdictions compete for mobile labor. Our results suggest that the strategic interactions among local governments play important roles in public goods provision and labor migration: during the RSC program (2001-2011), townships that coordinate with their neighboring SEZs closed an extra 15% of local primary schools, and lost an extra 7% of local population, as compared to townships that compete with their neighboring SEZs.
Analysis of the Origin of Citrus changshan-huyou by DNA Barcode

Citrus changshan-huyou Y. B. Chang is a high quality fruit with a therapeutic value. It is produced in the Changshan County of the Zhejiang Province in China, but to date its origin remains unclear. In this work, we studied six plant samples, including the “ancient plant” of C. changshan-huyou, the Cuihong cultivar of C. changshan-huyou, sweet orange (Citrus sinensis Osbeck), mandarin orange (Citrus reticulata Blanco), pomelo (Citrus maxima) and ponkan (Citrus ponki Hort). Specifically, we employed seven pairs of primers generally used in identifying species, including the characteristic gene fragments of chlorophyll (rbcL, rpoC1, rpoB, and trnH-psbA), ribosome (5.8S-28S rRNA/ITS1; 18S-5S rRNA/ITS2), and mitochondria (nad1 exonBC). The phylogenetic tree of C. changshan-huyou was constructed after PCR, cloning, and sequencing of the six plant samples. It was found that (1) pomelo was a female parent of C. changshan-huyou based on the results of ITS2, rbcL, rpoC1, and rpoB; (2) sweet orange was a either a male or a female parent of C. changshan-huyou based on the results of ITS1, rpoC1, trnH-psbA, and nad1 exonB-C, and (3) ponkan was a male parent of C. changshan-huyou based on the results of ITS1 and nad1 exonB-C. From the results, it could be argued that the origin of C. changshan-huyou involved the hybridization of multiple sources, including pomelo, sweet orange and ponkan. © 2019 Friends Science Publishers
Labor Market Slack and the Output Gap: The Case of Korea

Output gap estimates are widely used to inform macroeconomic policy decisions, including in Korea. The main determinant of these estimates is the measure of labor market slack. The traditional measure of unemployment in Korea yields an incomplete estimate of labor market slack, given that many workers prefer involuntary part-time jobs or leaving the labor force rather than registering as unemployed. This paper discusses a way in which the measure of unemployment can be broadened to yield a more accurate measure of labor market slack. This broader measure is then used to estimate the output gap using a multivariate filter, yielding a more meaningful measure of the output gap.
ESTUDIOS SOBRE LA ECONOMÍA ESPAÑOLA - 2014/14 DUAL LABOUR MARKETS AND (LACK OF) ON-THEJOB TRAINING: PIAAC EVIDENCE FROM SPAIN AND OTHER EU COUNTRIES

Using the Spanish micro data from the Programme for the International Assessment of Adult Competencies (PIAAC), we first document how the excessive gap in employment protection between indefinite and temporary workers leads to large differentials in on-the-job training (OTJ) against the latter. Next, we find that that the lower specific training received by temporary workers is correlated with lower literacy and numeracy scores achieved in the PIAAC study. Finally, we provide further PIAAC cross-country evidence showing that OJT gaps are quite lower in those European labour markets where dualism is less entrenched than in those where it is more extended.
TRADITIONAL AGROECOSYSTEMS AND GLOBAL CHANGE IMPLICATIONS IN MEXICO

GARCÍA-MARTÍNEZ, Y. G. , C. BALLESTEROS, H. BERNAL, O. VILLARREAL, L. JIMÉNEZ-GARCÍA. and D. JIMÉNEZ-GARCÍA, 2016. Traditional agroecosystems and global change implications in Mexico. Bulg. J. Agric. Sci., 22: 548–565 Global warming is producing negative effects on agriculture, changing the distribution and production of vulnerable crops. This phenomenon could also modify the production and distribution of plant species. Agroecosystems are highly diverse systems which could potentially reduce the impact of climate change. The following research work is founded due to this situation. The main objective of this study is to assess the impact of climate change on an unconventional agricultural system. Agroecosystems in the State of Puebla (Mexico) were analyzed under the horizons of the present, 2020, 2050 and 2080 under different socioeconomic scenarios (A1B, A2A, B1 and B2), to identify which areas could present changes in the distribution of at least 3 species in the State of Puebla. Three races of maize: Conico, Elotes conicos y Tuxpeño (Zea mays ssp. mays) were selected, and the most important crops from the state of Puebla: bean (Phaseolus vulgaris), amaranth (Amaranthus hypochondracus), courgette (Cucurbita pepo), coffee (Coffea arabica), chili (Capsicum frutescens), sugar cane (Saccharum offi cinarum), potato (Solanum tuberosum), avocado (Persea americana), apple (Malus domestica), peach (Prunus persica), orange (Citrus sinensis), Mexican hawthorn (Crataegus pubescens), and wheat (Triticum spp). We built niche models for some species and determinated the overlap areas (agroecosystems) with special emphasis on maize races. Our results showed an important persistence of different agroecosystems (73% of the territory in Puebla). These systems are likely to increase their surface area under scenario A1B and B1, while in the A2A and B2 scenarios the impact of climate change is greater in agroecosystems. In the fi rst case, agroecosystems lose in average up to 13% of surface area, and 12% for the second scenario. Finally the growth margin is 8% compared to the A1B and B1 models. We determinate vulnerability areas to global change in the southwestern of Puebla (maize origin center) and the north (rainforest protect area).
A computer vision based ultrasound operator skill evaluation

The aim of this thesis is to research inexpensive and automatic methods for analysing sonogra- phers skill level, which reduces cost and improves objectivity. The current approach of teaching physicians to generate good quality ultrasound images is expensive and subjective, also takes significant time and resources, because it requires experienced instructors to guide and assess trainees in person. In this thesis, a distributed data collection system for synchronising and collecting data from multiple different sensors, including Microsoft Kinect 2 and ultrasound machine, was designed. Then hand movements are extracted from ultrasound images with an intensity-based image registration algorithm. The extracted movements data are analysed to find different patterns between novice and expert sonographers. A multi-sensor fusion algorithm is used in this thesis to extend the field of view of Microsoft Kinect 2, as well as overcome the cluttered environments and obstacles in clinics. Hand tracking is performed in the registered large point clouds with a semi-automatic colour-based segmentation algorithm.
IN-SILICO STUDIES OF CBL-CIPK SIGNALING IN RICE: RESPONSE AGAINST HYPOXIA IS TRIGGERED BY INTERACTION OF CBL10 WITH CIPK15

In rice, Oryza sativa, Calcineurin B-Like (OsCBL) protein mediated activation of CBL-Interacting Protein Kinase15 (OsCIPK15) is extremely crucial for plants’ ability to cope up with hypoxic stress. Ten various types of OsCBLs and OsCIPK15 have been implicated in hypoxia, but little is known about the CBL partner that activates CIPK15 signaling. Insilico sequence, structural and functional analyses of OsCBLs and CIPK family members were conducted to explore the OsCBL which binds with and activates OsCIPK15, thus serving as regulatory factor for plant’s response to hypoxia. Sequence analysis revealed four characteristic conserved EF motifs in OsCBL family, whereas OsCIPK15 was found to contain a conserved 128 residue long NAF domain with a highly conserved 18 residue long helical fragment at its Nterminus. Structures of 10 OsCBL proteins and CIPK15 were modeled and protein-protein docking was undertaken to explore binding affinity of each of the ten OsCBL proteins for OsCIPK15. Several binding conformations of OsCBL-CIPK complexes were analyzed estimating their binding affinities on the basis of hydrogen bonding, electrostatic and hydrophobic interactions. OsCBL10 has been found to be the partner in establishing the most stable interaction with OsCIPK15’s NAF domain thereby activating down the stream cascade of molecular events and configuring the plant’s response to hypoxia.