Miracle-dz/UniFAR-FTUs huggingface dataset:
Implicit bias and motivation to respond without prejudice

Past research on motivation to be non-prejudiced has found that individuals who are primarily motivated by fear of others' reactions to their bias reduce their bias on publicly administered explicit measures but are unable to do so on separately administered implicit measures. However, those results are confounded because the measures of implicit bias were not administered publicly where externally motivated individuals would most likely reduce their bias. The present study examined the influence of motivation to respond without prejudice on implicit bias by eliminating that confound. Implicit bias was measured with the Implicit Association Test (IAT), which was administered privately and publicly with other explicit measures. Results illustrate that both implicit and explicit bias are significantly reduced in a public setting and that the reduction unrelated motivation type.
Comparação de métodos para determinação de biomassa microbiana em dois solos

The potential of soil microbial biomass measurements as indicators of soil bioactivity and interferences in this environment can be verified by the amount of published papers on the subject. Nevertheless, a comparison among data from different authors, regions, and soils is only possible when the methodology employed in the determinations is the same. Several papers, however, propose different methodologies and calculations. This study evaluated the results of microbial carbon determination by different extraction and digestion methodologies in two distinct soils. It was also performed biomass calculations, besides calculations for indirect transformation of CO2 from basal and induced respiration into microbial carbon in the two soils. Results varied greatly among methods and calculations, and the conclusion was drawn that the most frequently used methodology (Vance et al., 1987) should be adopted for a valid comparison of the amount of microbial carbon among soils and literature data.
Ab initio potential energy surface for H–H2

Ab initio calculations employing large basis sets are performed to determine an accurate potential energy surface for H–H2 interactions for a broad range of separation distances. At large distances, the spherically averaged potential determined from the calculated energies agrees well with the corresponding results determined from dispersion coefficients; the van der Waals well depth is predicted to be 75±3μEh. Large basis sets have also been applied to reexamine the accuracy of theoretical repulsive potential energy surfaces (25–70 kcal/mol above the H–H2 asymptote) at small interatomic separations; the Boothroyd, Keogh, Martin, and Peterson (BKMP) potential energy surface is found to agree with results of the present calculations to within the expected uncertainty (±1 kcal/mol) of the fit. Multipolar expansions of the computed H–H2 potential energy surface are reported for four internuclear separation distances (1.2, 1.401, 1.449, and 1.7a0) of the hydrogen molecule. The differential elastic scattering .
Molecular Dynamics Study of Polyester Surfaces and Fullerene Particles in Aqueous Environment

We present a molecular dynamics study of the interaction of fullerene (C60) with polyester surfaces in water. Three different polyester surfaces are studied, including untreated polyester (Polyester), fluorine-modified polyester (Polyester75F), and hydroxyl-modified polyester (Polyester75OH). Results indicate that in the absence of any surface modification, the fullerene particle is drawn down onto the polyester, even for a significant initial depth of water separating the particle and the surface. However, the addition of hydroxyl or fluorine groups on the surface of the polymer leads to a stronger interaction between water and surface atoms and, when combined with structural features such as rigidity and surface roughness, can reduce adhesion of the C60 particle in water.
VERSLAS: TEORIJA IR PRAKTIKA / BUSINESS: THEORY AND PRACTICE

To enrich literature of brand crisis causes regards internal perspective, this paper investigates internal brand shortage as crisis antecedents provoking brand fire consequently. Phenomenological approach is adopted using in-depth interviews, keynote seminar and validating by case studies analysis, internal brand crises antecedents were explored based on insights taken from experts in marketing and branding industry. Drafting from the phenomenological research, there are six problems leading to crisis found as follows: lack of human-centred strategy, lack of crisis prevention, lack of market understanding, lack of leadership and management skill, lack of innovation, and lack of quality assurance. These internal antecedents which accumulate to both performance-related and value-related brand crisis. This paper can have explicit implications for marketer, branders and managers, understanding these drivers and its occurrence, business managers are able to scan and analyses crisis situation faster to form timely response to crisis.
Automatic Acoustic Scene Classification

This paper presents a baseline system for automatic acoustic scene classification based on the audio signals alone. The proposed method is derived from classic, content-based, music classification approaches, and consists in a feature extraction phase followed by two dimensionality reduction steps (PCA and LDA) and a classification phase done using a k nearest-neighbors algorithm. This paper also reports on how our system performed in the context of the DCASE 2016 challenge, for the acoustic scene classification task.
Morphology of CdS Nanocrystals Synthesized in a Mixed Surfactant System

High aspect ratio cadmium sulfide (CdS) quantum rods were synthesized at room temperature in the environment of water-in-oil microemulsions using a combination of two surfactants: the anionic bis(2-ethylhexyl) sulfosuccinate (AOT) and the zwitterionic phospholipid l-α-phosphatidylcholine (lecithin). These highly acicular particles, obtained from a water-in-oil microemulsion containing an equimolar mixture of AOT and lecithin, possess an average width of 4.1 nm ± 0.6 nm, with lengths ranging from 50 to 150 nm. In contrast, conventional spherical CdS quantum dots are obtained from the AOT water-in-oil microemulsion system, with an average particle diameter of 5.0 nm ± 0.6 nm. X-ray and electron diffraction analyses reveal that the quantum dots have the face centered cubic structure of zinc blende, while the quantum rods predominantly have the hexagonal structure of wurtzite. Luminescence spectrophotometry of the samples indicates a blue-shift in the emission spectra when quantum rods are synthesized. It is.
Investigation of Multicomponent Sorption in Polymers from Fluid Mixtures at Supercritical Conditions: The Case of the Carbon Dioxide/Vinylidenefluoride/Poly(vinylidenefluoride) System

The simultaneous sorption of carbon dioxide and vinylidene fluoride (VDF) in poly(vinylidenefluoride) from their supercritical (sc) mixtures was studied using an experimental method, already described in a previous publication, based on the gas-chromatographic determination of the equilibrium composition of the fluid phase in contact with the polymer. Argon was added to the system as a nonabsorbable molecular probe in the polymer to take into account the effect of the volume swelling on the measurement. Sorption behavior has been studied at 50 °C by changing the composition and the density of the supercritical phase. We have found that VDF dissolves in its polymer with concentrations much lower than carbon dioxide at similar total and partial pressures. The mixed fluid CO2/VDF behaves as a worse solvent toward PVDF with respect to pure CO2, leading to a reduction of the cumulative sorption. This effect becomes progressively more significant when the fluoromonomer concentration increases. Experimental data.
The Lowered Dielectric Loss and Grain‐Boundary Effects in La‐doped Y2/3Cu3Ti4O12 Ceramics

The effects of La concentration on the electrical conductivity and electric modulus of Y2/3−xLaxCu3Ti4O12 ceramics (0.00 ≦ x ≦ 0.20) were investigated in detail. Proper amount of La substitution in Y2/3−xLaxCu3Ti4O12 ceramics made the dielectric loss decreased. When x = 0.10, Y2/3−0.10La0.10Cu3Ti4O12 ceramics exhibited the highest grain-boundary resistance (0.893 MΩ) and the lowest dielectric loss (about 0.025 at 1 kHz), meanwhile the samples exhibited a relatively high dielectric constant above 6000 over a wide frequency range from 40 Hz to 1 MHz. The decreased dielectric loss was attributed to the enhanced grain-boundary resistance. With the increase in La concentration, the dielectric relaxation behaviors correlated with the grain-boundary effects were significantly enhanced. By La doping, the activation energies for the conduction in grain boundaries were slightly depressed, and the activation energies for the relaxation process in grain boundaries were slightly changed. Based on the activation values, it can be concluded that the doubly ionized oxygen vacancies VO∙∙ had substantial contribution to the conduction and relaxation behaviors in grain boundaries.
Multimodal Trajectory Predictions for Autonomous Driving without a Detailed Prior Map

Predicting the future trajectories of surrounding vehicles is a key competence for safe and efficient real-world autonomous driving systems. Previous works have presented deep neural network models for predictions using a detailed prior map which includes driving lanes and explicitly expresses the road rules like legal traffic directions and valid paths through intersections. Since it is unrealistic to assume the existence of the detailed prior maps for all areas, we use a map generated from only perceptual data (3D points measured by a LiDAR sensor). Such maps do not explicitly denote road rules, which makes prediction tasks more difficult. To overcome this problem, we propose a novel generative adversarial network (GAN) based framework. A discriminator in our framework can distinguish whether predicted trajectories follow road rules, and a generator can predict trajectories following it. Our framework implicitly extracts road rules by projecting trajectories onto the map via a differentiable function and training positional relations between trajectories and obstacles on the map. We also extend our framework to multimodal predictions so that various future trajectories are predicted. Experimental results show that our method outperforms other state-of-the-art methods in terms of trajectory errors and the ratio of trajectories that fall on drivable lanes.
Production of Rhombohedral Multilayer Graphene with the Goal of Making Diamane

Multilayer graphene (MLG) is an outstanding anisotropic material whose electronic and mechanical properties are highly dependent on the stacking order of individual graphene monolayers. The most thermodynamically stable MLG configuration has a hexagonal crystal structure with an ABA …(Bernal) stacking sequence. Less energetically favorable and thus less abundant rhombohedral MLG with an ABC … stacking order is of a great interest due to its remarkable properties: electronic (tunable energy band gap) and structural (the same order of carbon layers as in the cubic diamond along [111] direction). It remains extremely challenging to synthesize MLG of an ABC stacking sequence by using ‘bottom-up’ approaches. To the best of our knowledge, there is only one report on the selective fabrication of ABC-stacked trilayer graphene by high-temperature annealing of n-type Si-terminated 6H-SiC(0001). The rhombohedral stacking order, however, has been reported to occur in natural graphite (up to 30%). Thus, in our attempt to make ABC-stacked MLG, we have chosen the ‘top-down’ approach, namely, by cleaving natural graphite with a relatively high content of the rhombohedral ( ABC …) phase. Throughout our study, we used X-ray diffraction (XRD) characterization to detect and to quantify the content of the rhombohedral phase in natural graphite. Hexagonal and rhombohedral phases in exfoliated MLG flakes were distinguished and mapped by Raman spectroscopy. We also conducted chemical functionalization (fluorination) of exfoliated graphene flakes to test the possibility of chemically induced sp 2 to sp 3 phase transition of ABC-stacked MLG into ultrathin diamond-like film ( diamane ).
Parsing Chinese with head-driven model

Great progress has been made in parsing the Wall Street Journal portion of the Penn Treebank. Now parsing languages other than English is an intensive research area. Head-driven model is one of the best English parsing models. It has been successfully applied to Czech but failed to outperform a base-line model in parsing German. This paper attempts to parse Chinese with head-driven model. Promising experimental results demonstrate that head-driven model works well for Chinese. We propose a hybrid parsing strategy, which combines head-driven model with a Chinese base phrases parsing model. The combined model not only improves the performance but also makes the parser space and time efficient. We evaluate our method in PARSEVAL measures, and the combined model performances are at 79.88% precision, 81.97% recall.
Magnetism in Co-doped tris-8-hydroxyquinoline aluminum studied by first-principles calculations

The electronic and magnetic properties of Co-doped tris-8-hydroxyquinoline aluminum (Alq3) are studied by first-principles calculations. Our results indicate that the local magnetic moments in doped Alq3 originate from the localized d states of Co atom. Electron transfer takes place from Co atom to Alq3 molecule, which is mainly localized on the quinolate ligand, resulting in formation of bound magnetic polarons. The indirect ferromagnetic exchange interaction between two bound magnetic polarons antialigning with the same magnetic ion promotes the collective magnetism found in recent experiments.
Key Role of a Threefold State Crossing in the Ultrafast Decay of Electronically Excited Cytosine

A three-state conical intersection between the ground state and the (π,π*) and (nO,π*) singlet excited states of cytosine is the topological feature that dominates the ultrafast decay of singlet excited cytosine. The three-state intersection is associated with seams of intersection between pairs of states (S1/S0 and S2/S1, respectively), and the resulting topology has been mapped out with CASSCF and CAS-PT2 calculations. The minimum-energy path for the optically active (π,π*) state lies on the S1 surface, and decay to the ground state takes place at the S1/S0 seam. On the other hand, the region of the S2/S1 seam must be traversed before accessing the conical intersection with the ground state and recrossing to S2 becomes possible. Another feature associated with the three-state degeneracy is vibronic coupling between the (π,π*) and (nO,π*) excited states (proximity effect), which lowers the barrier to the S1/S0 seam. From a mechanistic point of view, then, the decay is the outcome of the interaction betwe.
Non-classical FeII spin-crossover behaviour in polymeric iron(II) compounds of formula [Fe(NH2trz)3]X2xH2O (NH2trz=4-amino-1,2,4-triazole; X=derivatives of naphthalene sulfonate)

A new series of iron(ii) spin-crossover materials of formula [Fe(NH2trz)3 ]X2xH2O [X=1-naphthalene sulfonate (1ns), 2-naphthalene sulfonate (2ns), 4-hydroxy-1-naphthalene sulfonate (4OH-1ns), 4-amino-1-naphthalene sulfonate (4NH2-1ns) and 6-hydroxy-2-naphthalene sulfonate (6OH-2ns)] are reported. The structure of these compounds consists of linear chains in which the Fe(ii) ions are linked by triple N1 ,N2-1,2,4-triazole bridges. All compounds show non-classical spin-crossover behaviour. Optical and magnetic measurements recorded upon heating show an abrupt low-spin to high-spin transition accompanied by a pronounced thermochromic effect occuring between 330 and 340 K depending on the anion. Thermogravimetric analyses show that the transition is induced by the removal of the two lattice water molecules, which initially stabilized the low-spin state. The dynamical character of this transition has been monitored by extended 57Fe Mossbauer spectroscopic studies on [Fe(NH2trz)3 ](2ns)2xH2O. Upon cooling, the dehydrated modifications show classical spin-crossover behaviour with hysteresis at much lower temperatures, ranging from 229 to 297 K depending on the anion. [Fe(NH2trz)3 ](2ns)2 represents one of the first iron(ii) spin-crossover materials showing a spin transition in the close vicinity of room temperature (290 K) accompanied by hysteresis (14 K).
Determination of Major and Trace Elements in Mushroom, Plant and Soil Samples Collected from Japanese Forests

Abstract Inductively coupled plasma-mass spectrometry (ICP-MS) and inductively coupled plasma-atomic emission spectrometry (ICP-AES) were used to measure many major and trace elements in plant, mushroom and soil samples collected in Japanese forests. Sample preparation and analytical conditions were investigated to set up a simple routine procedure for measuring a large range of elements. Fifty elements were determined for soil samples. For plant and mushroom samples, 25 elements v ere determined. Concentrations of some trace elements such as Zn, Pb, Cd, Bi, Sn and Sb in forest soils tended to be the highest in the surface soil layer, indicating the importance of atmospheric deposition on the total contents in the soils of these elements. In comparison with the element contents of plants, the mushroom contents could be characterized by low Mg, Ca, Sr and Ba amounts. Transfer factors (TFs) were estimated from the ratio of “concentration in plant or mushroom on dry weight basis” to “concentration in the sur.
Improving Password System using Blockchain

– Most of the cyber information systems require users to provide identity information as a way of authentication and usually the identity information is a pair of username and password. With so many information systems to access, people need to memorize hundreds of usernames and passwords. As a result, they often forget their usernames or passwords and have to go through a time-consuming and troublesome procedure to find them back. In this article, we propose a solution storing people’s usernames and passwords using block-chain in an encrypted format. When the username or password for a particular website is lost, they can be accessible through the blockchain. As a result, people do not need to memorize their usernames and passwords for different websites anymore. The password stored in the block-chain would not be compromised to any cyber-attacks because block-chain is immutable.
Translational self-diffusion in the synclinic to anticlinic phases of a ferroelectric liquid crystal

In this work, the first direct measurement of inter and intra-layer molecular self-diffusion in the smectic phases of a chiral smectogen (S)-2-methylbutyl-[4′-(4″-heptyloxyphenyl)-benzoyl-4-oxy-(S)-2-((S)-2′)-benzoyl)-propionyl)]-propionate (ZLL7/*) by means of pulsed field gradient NMR is reported. Self-diffusion coefficients as low as 10−13 m2 s−1 have been measured by combining magic echo spin decoupling with a stimulated echo sequence. The transitions among synclinic–anticlinic smectic phases are associated with a change in the self-diffusion coefficients.
Supplementary Material for “On the Number of Linear Regions of Convolutional Neural Networks”

In this section, we recall some basic knowledge on hyperplane arrangements (Zaslavsky, 1975; Stanley, 2004), which will be used in the proofs of theorems in this paper. An affine hyperplane in a Euclidean space V ' R is a subspace with the following form: H = {X ∈ V : α ·X = b}, where “ · ” denotes the inner product, 0 6= α ∈ V is called the norm vector of H , and b ∈ R. For example, when V = R, an affine hyperplane has the following form: {(x1, x2, . . . , xn) ∈ R : ∑n i=1 aixi = b} where ai, b ∈ R and there exists some i with ai 6= 0. A finite hyperplane arrangement A of a Euclidean space V is a finite set of affine hyperplanes in V . A region of an arrangement A = {Hi ⊂ V : 1 ≤ i ≤ m} is defined as a connected component of V \ (∪i=1Hi), which is a connected component of the complement of the union of the hyperplanes in A. Let r(A) denote the number of regions for an arrangement A. It is natural to ask: What is the maximal number of regions for an arrangement with m hyperplanes in R? The following Zaslavsky’s theorem answers this question. Proposition 1 (Zaslavsky’s Theorem (Zaslavsky, 1975; Stanley, 2004)). Let A = {Hi ⊂ V : 1 ≤ i ≤ m} be an arrangement in R. Then, the number of regions for the arrangement A satisfies
AFM study of cytochrome CYP102A1 oligomeric state

Atomic force microscopy (AFM) study of the oligomeric state of CYP102A1 was carried out in three different environmental conditions – liquid, air and vacuum. It was shown that usage of a standard probe with a radius of curvature of 10 nm allowed determination of the monomers-to-oligomers ratio, α ≈ 0.5 : 0.5, in these three media, but it wasn't possible to estimate the oligomerization degree more precisely. Application of a supersharp probe with a radius of curvature of 2 nm made it possible not only to obtain data on the ratio of monomers-to-oligomers but also to obtain the approximate ratio between dimers, trimers and tetramers 0.3 : 0.1 : 0.1, but only in vacuum.
MIG at the NTCIR-15 FinNum-2 Task: Use the Transfer Learning and Feature Engineering for Numeral Attachment Task

In the FinNum-2 task, the goal is to judge whether the specified numeral is related to the given stock symbol in a financial tweet. We employ a transfer-learning mechanism and the Google BERT embeddings so that we only need to collect and annotate a small amount of data to train the classifiers for the task. In addition, our classifiers consider some intuitive but useful syntactic features, e.g., the positions of words in the tweets. Experimental results indicate that these new features boost the prediction quality, and we achieved better than 68% in the tests in the formal run.
Joinery Solver for Whole Timber Structures

This paper presents a digital joinery generation method for whole-timber structures using wood-wood connections. The research is based on a collaboration with a local timber company located in a mountain area [1]. In this context, there is a need to explore available round-wood stock to increase its use and apply it to the local construction. The inspiration is taken from joinery generation methods [2,3] and applied to round-wood timber assemblies. The joinery solver considers: available stock of timber, its natural characteristics (i.e. irregularity in section, length, curvature, forking), low-poly digital representation and digital fabrication (CNC, Robot tool-path). First, round-wood is scanned and point-clouds are processed to get the central-axis and radii. Second, trunks are oriented to a design space. Third, the joinery solver creates connections. This method is based on a tiling process when a group of polylines are scaled, sheared and translated to a connection zone. The joinery library is collected from existing literature and classified i.e. side-side, side-end, end-end types. The research shows that it is possible to automate joinery generation while examining variability of timber and digital fabrication constraints. The joinery solver is validated by physical tests using 4.5 CNC and 6-axis ABB robot.
Cross-Border Venture Capital Investments

This study is set against the background of the growing internationalization of venture capital (VC) investing and is the first global comparison of the returns generated by individual domestic and cross-border deals. We examine investments worldwide during 1971 to 2009 and find that cross-border investments significantly underperform compared with equivalent domestic investments. Returns are negatively affected by geographic distances, cultural disparities, and institutional differences between the home and host countries. Returns on cross-border and domestic deals also decline after the late 1990s. International portfolio diversification and the saturation of domestic markets may explain why VC investors make cross-border investments despite poor expected returns. JEL classification: G24, G32, G33, G34, G1.