Miracle-dz/UniFAR-FTUs huggingface dataset:
An Exploratory Study on Disinformation and Fake News Associated with the U.S. 2020 Presidential Election

With the advent of social media, the spread of misinformation is undeniable. Disinformation and more specifically fake news are types of misinformation which are devised to mislead, deceive, or confuse people intentionally. Fake news was bold in the U.S. 2016 presidential election and we expect it to grow even more at the U.S. 2020 presidential election. In this research study, we aim to answer two questions: 1. What types of disinformation/fake news are likely to be utilized in this election? 2. How will the spread of these claims affect the voting outcome? We used text mining analysis to gain a perceivable topic model. Latent semantic analysis was applied as a text mining approach on real data collected from a well-known factcheck website. Results showed four hot topics, “Covid-19”, “Trump”, “Biden”, and “Voting Process”. Based on the results, the authors believe that the two most important topics with a strong effect on the U.S. 2020 presidential election would be “COVID-19” and “Voting Process”. These topics will play an important role on both the American voters and the election results.
Condensed Matter and Interphases

The aim of the study is to establish spectral-luminescent interaction effects in mixtures of colloidal Zn0.5Cd0. 5S quantum dots passivated with 2-mercaptopropionic acid and Au and Au/SiO2 nanoparticles. The studied samples of Zn0.5Cd0. 5S quantum dots, Au and Au/SiO2 nanoparticles and their mixtures were obtained by methods of colloidal synthesis and were characterised using transmission electron microscopy. The absorption, luminescence and time-resolved luminescence spectroscopy were used as the main investigation methods. The measurements were carried out at temperatures of 77 K and 300 K. The spectral-luminescent properties of “free” Zn0.5Cd0. 5S quantum dots and those interacting with Au and Au/ SiO2 nanoparticles were compared. It was found that the luminescence properties of Zn0.5Cd0. 5S quantum dots can be controlled under conditions of changing plasmon-exciton coupling achieved during the formation of a dielectric SiO2 shell on the surface of Au nanoparticles as well as a result of a polymer introduced into the colloidal mixture.
forumBERT: Topic Adaptation and Classification of Contextualized Forum Comments in German

Online user comments in public forums are often associated with low quality, hate speech or even excessive demands for moderation. To better exploit their constructive and deliberate potential, we present forumBERT. forum-BERT is built on top of the BERT architecture and uses a shared weight and late fusion technique to better determine the quality and relevance of a comment on a forum article. Our model integrates article context with comments for the online/ofﬂine comment moderation task. This is done using a two step procedure: self-supervised BERT language model ﬁne tuning for topic adaptation followed by integration into the forumBERT architecture for online/ofﬂine classiﬁcation. We present evaluation results on various classiﬁcation tasks of the public One Million Post dataset, as well as on the online/ofﬂine comment moderation task on 998,158 labelled comments from NDR.de, a popular German broadcaster’s website. fo-rumBERT signiﬁcantly outperforms baseline models on the NDR dataset and also outperforms all existing advanced baseline models on the OMP dataset. Additionally we conduct two studies on the inﬂuence of topic adaptation on the general comment moderation task.
FACTORS ENHANCING THE ACCUMULATION OF -CAROTENE IN RHODOTORULA TAIWANENSIS CT1

β-carotene known as an antioxidant, immunostimulant, provitamin A and natural colour is a popular additive used in food, cosmetics, and animal feed. Microbial β-carotene currently attracts attention thanks to its shorter production time and controllable process in comparison to β-carotene from plant source. This study investigates the factors that enhance the accumulation of -carotene in the yeast strain Rhodotorula taiwanensis CT1. The addition of stressors including ethanol (0.2 %), hydrogen peroxide (10 mM), and NaCl (1 M) to the 48 h CT1 cultures improved the intracellular -carotene yield by 2.2; 2.05 and 1.35 folds, respectively. The volumetric productivity of CT1 correspondingly increased 2.1, 2.0 and 1.1 folds. As a metabolism regulator, citric acid (1 %) added into 48 h CT1 culture had a positive effect on intracellular -carotene production, resulting in its 1.78-fold increase. The highest βcarotene yield in CT1 was obtained when 1 % Tween 80 was introduced into the culture. The intracellular -carotene content and the volumetric productivity increased 2.84-folds and 2.64folds reaching 337.56 ± 1.30 μg/g dry biomass and 15.38 ± 0.30 mg/L, respectively.
Density measurements of endothermic hydrocarbon fuels at temperatures from 235 k to 353 k and pressures up to 4.09 mpa

FUELS AT TEMPERATURES FROM 235 K to 353 K AND PRESSURES UP TO 4.09 MPA Feng S. , Bi Q.C*. , Pan H. , Liu Z.H. , and Guo Y.J. *Author for correspondence State Key Laboratory of Multiphase Flow in Power Engineering, Xi’an Jiaotong University, No.28 Xianning West Road, Xi’an 710049, China E-mail: qcbi@mail.xjtu. edu.cn ABSTRACT The densities of endothermic hydrocarbon fuels were measured covering the temperature from (235.0 to 353.0) K at pressures of (0.68,1.47, 3.06 and 4.09) MPa. The densitometer is based on the attenuation theory of gamma ray with a count rate mode. When the intensity of a gamma beam passes through fuels, it decreases exponentially. According to Beer−Lambert’s law, densities of fuel were calculated through the different count rates and densities of referenced fluid. Pure hexane and a binary mixture of n-heptane and n-octane were adopted respectively to validate the reliability and accuracy of the densitometer. Results showed that the average absolute deviation(AAD) was lower than 0.32 % and the maximum absolute deviation(MAD) was within 0.67 %. NOMENCLATURE I n/s Intensity of incident radiation
PROTOTYPICAL NETWORK FOR BIOACOUSTIC EVENT DETECTION VIA I-VECTORS

In this technical report, we present our system for the task 5 of Detection and Classiﬁcation of Acoustic Scenes and Events 2021 (DCASE2021) challenge, i.e. few-shot bioacoustic event detection. First, per-channel energy normalization (PCEN) and i-vectors are extracted as features. In order to improve the diversity of original audio, some data augmentation methods are adopted, for example, specaugment. Then, the prototypical network with convolutional neural networks (CNN) is used for few-shot detection. Finally, we use aforementioned features as inputs to train our CNN model. We evaluate the proposed systems with overall F-measure for the whole of the evaluation set, and our best F-measure score on the validation set is 46.28.
A 0.029-mm2 17-fJ/Conversion-Step Third-Order CT  $\Delta\Sigma$  ADC With a Single OTA and Second-Order Noise-Shaping SAR Quantizer

This paper presents a compact and power efficient third-order continuous-time (CT) delta-sigma (<inline-formula> <tex-math notation="LaTeX">$\Delta \Sigma $ </tex-math></inline-formula>) analog-to-digital converter (ADC) with a single operational transconductance amplifier (OTA). A 4-bit second-order fully passive noise-shaping (NS) successive-approximation-register (SAR) ADC is employed as the quantizer while inherently provides two additional NS orders. Fabricated in 40-nm CMOS, the prototype occupies 0.029 mm<sup>2</sup> of active area and consumes 1.16 mW of power when clocked at 500-MHz sampling frequency. The proposed CT <inline-formula> <tex-math notation="LaTeX">$\Delta \Sigma $ </tex-math></inline-formula> ADC achieves a peak signal-to-noise-and-distortion ratio (SNDR) of 70.4 dB over 12.5-MHz bandwidth, yielding a Walden figure of merit (FoM) of 17 fJ/conversion-step.
Autonomous Real Time Architecture for High Performance Mobile Robots

Highly-dynamic robotic systems, such as hopping robots, require light, computationally and energy efficient on-board units for control. This paper presents such a computational unit together with a software architecture for achieving high-performance behaviors, such as balancing and hopping. These demanding behaviors require accurate dynamic calculations, high-bandwidth control, and fast real-time state estimation. The proposed system consists of cheap and off-the-shelf electronics that are detailed in this paper. The effectiveness of the presented approach is validated on a balancing machine called Tippy, which is able to achieve fast tracking of command signals while balancing. The experimental results of this paper demonstrate that reliable real-time software for demanding high-performance robotic applications, which require fast control loops and intensive calculations, can be achieved with light, low cost and energy efficient components, which can empower the widespread use and experimentation of high-performance robots worldwide.
Visual 3D Perception for Interactive Robotic Tactile Data Acquisition

In this paper, we present a novel approach for tactile saliency computation on 3D point clouds of unseen object instances, where we deﬁne salient points as those that provide informative tactile sensory information with robotic interaction. Our intuition is that the local 3D surface geometries of objects contain characteristic information both in terms of texture and shape which can provide important discriminating information for tactile interactions. We solve the problem by taking as input a 3D point cloud of an object and develop a geometric approach which computes the tactile saliency map for the object without requiring pre-training. We furthermore develop a formulation to compute grasps using the tactile saliency for prehen-sile probing manipulation. We demonstrate our framework with evaluation on a variety of household objects in real-world experiments. Since it is diﬃcult to manually deﬁne a ground truth tactile saliency measure, we evaluate our approach by having a human subject provide saliency information as baseline in pilot experiments. Results show good performance of our algorithm both in terms of the computation of tactile saliency and its usefulness to acquire informative tactile sensory data with a real-world robot.
African Swine Fever: virus isolates

African swine fever (ASF) is an acute, highly contagious and often fatal disease of domestic pigs (17, 18). It is caused by a large cytoplasmically-located, icosaheral virus that contains a complex, linear double-stranded DNA genome (1, 7). Although morphologically similar to and originally classified with the Iridoviridae, more detailed analysis has revealed that ASF virus genome and replication resemble those of Poxviridae in many respects (1, 5), and the virus is at this time placed in a separate family (Asfaviridae) in which it is the only member. It has been established by restriction enzyme analysis and mapping restriction enzyme sites on genomes, that ASF virus isolates obtained from different parts of Cameroon at different times were very similar to each other (4, 10). It was shown in previous studies that genomes of virus isolates obtained from outbreaks in domestic pigs in Europe were closely related to each other (6, 24, 25), and that some European isolates were closely related to those from outbreaks in domestic pigs in the Caribbean and the isolate that caused the ASF epizootic in Cameroon in 1982 (25). The origin of some outbreaks in Europe were traced back to the Iberian peninsula on the basis of epizootiological information and evidence from restriction enzyme analysis and restriction enzyme site maps of the genomes of the virus isolates (3, 26). In contrast, other African isolates of ASF virus collected from various hosts in different geographical locations over a long time span were genetically diverse (4, 9, 22, 23, 25). However, all the African isolates used by these workers were obtained from the eastern and southern parts of Africa. Outbreaks of ASF have been reported in other parts of the continent such as Benin, Senegal, Guinea Bissau, Nigeria and Côte d? Ivoire in the West, Central African Republic, Chad, Congo, Democratic Republic of Congo, Sao Tome, Angola and Namibia in the Southwest (2, 23, 27).
MiniHack the Planet: A Sandbox for Open-Ended Reinforcement Learning Research

Progress in deep reinforcement learning (RL) is heavily driven by the availability of challenging benchmarks used for training agents. However, benchmarks that are widely adopted by the community are not explicitly designed for evaluating specific capabilities of RL methods. While there exist environments for assessing particular open problems in RL (such as exploration, transfer learning, unsupervised environment design, or even language-assisted RL), it is generally difficult to extend these to richer, more complex environments once research goes beyond proof-of-concept results. We present MiniHack, a powerful sandbox framework for easily designing novel RL environments. MiniHack is a one-stop shop for RL experiments with environments ranging from small rooms to complex, procedurally generated worlds. By leveraging the full set of entities and environment dynamics from NetHack, one of the richest grid-based video games, MiniHack allows designing custom RL testbeds that are fast and convenient to use. With this sandbox framework, novel environments can be designed easily, either using a human-readable description language or a simple Python interface. In addition to a variety of RL tasks and baselines, MiniHack can wrap existing RL benchmarks and provide ways to seamlessly add additional complexity.
Ceramic pebbles as sensory tools: exploring the quality of muteness in tactile experience

In this paper, we examine the tactile experience from two different perspectives: through ceramic practice and as ceramic sensory tools in the context of psychotherapy. In order to gain insights into the tactile experiences, we use subjective experience of making and the professional experience of using the ceramic objects to frame the experiences. We focus on the shared qualities of tactile experiences within these approaches and propose the idea of muteness as a lens to view pre-verbal or non-verbal embodied dimensions within the context of our practices. The dialogue in this paper is between two different practitioners: an artist-researcher and a psychotherapist. We discuss the possibilities of a mute process in ceramic practice for embodied awareness and the use of this particular quality for engaging bodily in self-reflection within psychotherapy. The psychotherapeutic frameworks in this discussion are limited to cognitive behavioural psychotherapy, particularly schema therapy and acceptance and commitment therapy (ACT), solution focused therapy and narrative therapy. Our findings suggest that the perceived muteness of the sensory tools enables discussion and explorative dialogue concerning the embodied dimension in tactile experiences providing access to a place of pre-verbal being and knowing.
Strain relatedness in gram-negative bacteremia: Cause or contamination?

Ilkay Bahceci1, Aziz Ramazan Dilek1, Kazim Sahin1, Ilknur Esen Yildiz2, Omer Faruk Duran3, Zihni Acar Yazıcı1 Department of Microbiology, Recep Tayyip Erdoğan University, Medical Faculty Hospital 2Department of Infectious Diseases, Recep Tayyip Erdoğan University, Medical Faculty Hospital 3Department of Medical Microbiology, Recep Tayyip Erdoğan University Medical Faculty, Rize, Turkey Gram-negative bacteremia Strain relatedness in gram-negative bacteremia: Cause or contamination?
Text Classiﬁcation Based on Bert

In order to protect the privacy of individual and the company, we need to classify sensitive data. Text classiﬁcation belongs to natural language processing(NLP). In NLP, text information is preprocessed ﬁrstly. In this process, we use the Bert - pre-training model from google. Then, we use this model to complete the task of senstive data classiﬁcation by ﬁne-tuning Bert. In the era of big data, data sharing and opening to enterprise development is increasingly prominent. Data has become one of the most important production factors.
Calibration and set-up of two independent cameras mounted on servos for UAVs relative pose estimation

Unmanned Aerial Vehicles (UAVs) are agile platforms that are used in robotics for a wide range of tasks. However, due to their ability to perform fast ﬂights, they are challenging to track. In literature there exists a broad number of tracking algorithms that allow to estimate the pose of an UAV by means of an external camera. Generally these algorithms make use of a ﬁxed camera, and therefore they loose track of the UAV if it moves out of the ﬁeld of view. A possible solution to this issue is to allow the presence of a moving camera. In this semester project, a system composed by a camera and a servo is considered. In particular, a toolbox for the calibration of the camera-servo set-up is proposed and analysed. First, the formalization of the problem is introduced. Then, the pipeline of the overall calibration is explained and evaluated. The proposed toolbox shows satisfactory performances, even when used in combination with algorithms for UAV pose estimation and tracking.
Antimicrobial activity of extracts of Zingiber officinale and Maclura pomifera on Pseudomona syringae

Bean and tomato in Mexico are two of the products that are an essential part of the diet of the population of this country, they are of great economic, cultural and gastronomic importance. The presence of pests and diseases in crops increases production costs, in addition to the environmental impact and the residuality of pesticides, they can affect human health. The main objective of the research was to study a biocontrol alternative for bacterial diseases, effective, low cost and lower environmental impact. It was developed in the city of Aguascalientes, Mexico in 2019. Natural extracts (ethanol, methanol and water) of Maclura pomifera and Zingiber officinale were produced in raw form by maceration and concentrates by rotary-evaporation, using bases of ethanol, methanol and water. Strains of Pseudomona syringae of pathologies in tomato and green bean were isolated and identified. 14 treatments with three repeats of raw and concentrated extracts were used. Bactericidal activity was evaluated by antibiograms with intervals of 24 h for seven days. Showing the greatest inhibitory effect, the extracts of M. pomifera base ethanol of 100 mg ml and Z. officinale of 100 mg ml base ethanol. For the second test in the decrease in concentrations, the effectiveness of M. pomifera extracts at low concentrations was reiterated, where 10 mg ml was the lowest and most effective concentration in bacterial inhibition. This positions M. pomifera plant extracts as a viable, efficient and economical option in the biocontrol of agricultural bacterial diseases.
Theoretical study of the syn- and anti-conformers of 2,2ʹ-bifuran derivatives: rotational barrier and solvent effect

ABSTRACT The optimised molecular structures, vibrational wavenumbers and corresponding vibrational assignments of the syn- and anti-conformers of 2,2ʹ-bifuran and its nitro, fluoro, methyl and hydroxyl derivatives were obtained using density functional theory. The starting structures with C2 symmetry of all the ground state structures were considered and the transition state arising from syn-anti isomerisation was also modelled. All structures were fully optimised, and the geometries, dipole moments, charge, thermodynamic properties, and energies are reported. The calculated vibrational wavenumbers were assigned to the various fundamental modes of vibrations. The integral Equation Formalism Polarisation Continuum Model (IEF-PCM) was used to calculate the optimised geometry and the vibrational wavenumbers for all the compounds in different solvents. The results indicate that in the gas phase, the syn-conformer is more stable while in solution phases the conformational preference depends on the polarity of the solvent.
Determination of particle-bound polycyclic aromatic hydrocarbons emitted from co-pelletization combustion of lignite and rubber wood sawdust

Determination of particle-bound Polycyclic Aromatic Hydrocarbons (PAHs) emitted from co-pelletization combustion of lignite and rubber wood sawdust in a horizontal tube furnace is investigated using High Performance Liquid Chromatography with coupled Diode Array and Fluorescence Detection (HPLC-DAD/FLD). The particle-bound PAHs based on the mass concentration and the toxicity degree are discussed in the different size ranges of the particulate matters from 0.07-11 μm. In the present study, the particle-bound PAHs are likely abundant in the fine particles. More than 70% of toxicity degree of PAHs falls into PM1.1 while more than 80% of mass concentration of PAHs falls into PM2.5. The addition of lignite amount in the co-pelletization results in the increasing concentration of either 4-6 aromatic ring PAHs or high molecular weight PAHs. The high contribution of 4-6 aromatic ring PAHs or high molecular weight PAHs in the fine particles should be paid much more attention because of high probability of human carcinogenic. Furthermore, the rubber wood sawdust pellets emit high mass concentration of PAHs whereas the lignite pellets emit high toxicity degree of PAHs. By co-pelletized rubber wood sawdust with lignite (50% lignite pellets) has significant effect to reduce the toxicity degree of PAHs by 70%.
Rice (Oryza Sativa L.) Tolerance to Drought Can Be Improved by Silicon Application

ABSTRACT The aims of this work were to assess the effect of drought and silicon on rice growth and productivity. A completely randomized design pot experiment with three replications was conducted in a clay soil with five levels of soil moisture content (SMC) (70, 80, 90, 100, and 120% of the soil saturation point) and five rates of Si (0, 2.1, 4.2, 6.3, and 8.4 mg Si/10 plants). When SMC was reduced from 120% to 70%, plant height, rice straw, root yield, and grain yield significantly reduced with 32, 52, 36, and 27%, respectively; however, when Si rate increased from 0.0 to 8.4 mg/10 plants, they significantly increased by 38, 97, 49, and 106%, respectively. At the SMC of 70%, when Si rate increased from 0.0 to 6.3 mg/10 plants, N, P, K, and Si concentrations in straw increased by 42, 59, 36, and 53%, respectively.
Impact of cover, ecotype and endomycorrhizae on morphology and quality of piquin chili

The research was carried out with piquin chili ecotypes from the states of Coahuila, Nuevo León and Zacatecas. Piquin chili plants were evaluated in its second year of production. Two environments were used: a) macro tunnels of white mesh, red, blue, black raschel type with 30% shade; and b) open field with 100% light transmission. 50 spores of a conglomerate of arbuscular mycorrhizal fungi (Glomus mosseae, Rhizophagus intraradices, Sclerocystis coremioides and Gigaspora albida) were inoculated directly to the radical system. A factorial arrangement 5 x 6 x 2 (cover, ecotypes and mycorrhizae) was used and its distribution corresponded to a random block design with four repetitions. The yield and some morphological characteristics of the plant were evaluated such as plant height (AP), stem diameter (DT), root length (LR), fresh plant weight (PFP), dry weight of the plant (PSP), fresh root weight (PFR), dry root weight (PSR), yield per plant (RPP). The results indicate that the white mesh favored the morphological characteristics of the plant with agronomics with 320% AP, 322.7% DT, 235.8% LR, 8 times PFP, 8.5 times PSP, 327.2% PFR, 5 times PSR, 6.8 times PTR, compared to plants developed in open field. In addition, the quality of piquin chili provides conditions for the development of endomycorrhizae (spores and percentage of colonization). Blue mesh with the lowest photosynthetically active radiation (RFA) positively influenced agronomic, quality variables and inoculation (number of spores and percentage of colonization). The ecotype that influenced SST, Vit C, phenols and NE was SNL and RTZ in agronomic variables and % colonization. The inoculation with the mycorrhizae consortium improved the agronomic characteristics and quality of the piquin chili fruit.