Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Implementation of the Digital Simulation Impedance Standard

The digital simulation impedance (DSI), which is a new concept established on the basis of the pure digital ratio, maintains and reproduces impedance values according to the definition of the impedance in a sinusoidal steady-state circuit. In this paper, based on the concept of digital simulation impedance, a digital simulation impedance standard through using a digital method is designed and implemented, and the correctness of this new concept is proved. The proposed digital simulation impedance standard can be applied to calibrate digital bridges and LCR impedance measuring instruments, which provides a digital approach to simulation impedance traceability methods.
Kinematics & Dynamics Library for Baxter Arm

—The Baxter robot is a standard research platform used widely in research tasks, supported with an SDK provided by the developers, Rethink Robotics. Despite the ubiquitous use of the robot, the ofﬁcial software support is sub-standard. Especially, the native IK service has a low success rate and is often inconsistent. This unreliable behavior makes Baxter difﬁcult to use for experiments and the research community is in need of a more reliable software support to control the robot. We present our work towards creating a Python based software library supporting the kinematics and dynamics of the Baxter robot. Our toolbox contains implementation of pose and velocity kinematics with support for Jacobian operations for redundancy resolution. We present the implementation and performance of our library, along with a comparison with PyKDL.
Genome‐wide Association Study of Agronomic Traits in a Spring‐Planted North American Elite Hard Red Spring Wheat Panel

Author(s): Godoy, J; Gizaw, S; Chao, S; Blake, N; Carter, A; Cuthbert, R; Dubcovsky, J; Hucl, P; Kephart, K; Pozniak, C; Prasad, PVV; Pumphrey, M; Talbert, L | Abstract: © Crop Science Society of America | 5585 Guilford Rd., Madison, WI 53711 USA All rights reserved. Inbred cultivars and advanced breeding lines have been subjected to numerous recombination cycles, have strong allelic selection for desired traits, and share important attributes for adaptation and agronomic performance. Genetic variation in elite gene pools captured using molecular markers is immediately useful for cultivar development. The primary goal of this study was to implement a genome-wide association study for 17 agronomic traits using elite inbred lines. A panel consisting of 237 elite hard red spring wheat (Triticum aestivum L.) lines from different wheat breeding institutions in North America were evaluated in 11 locations over 2 yr. A total of 19,192 polymorphic single-nucleotide polymorphism (SNP) markers from the Illumina 90K SNP array and markers linked to major genes controlling plant height, photoperiod sensitivity, and vernalization were used to assay the population. Linkage disequilibrium was observed to decay within a map distance of ~3 cM in the A and B genomes and 7 cM in the D genome. A total of 226 marker-trait associations were identified. Potentially novel associations were detected for grain yield on chromosome 2B and kernels per spike on 1B and 7D, whereas others colocalized with well-known adaptation loci for photoperiod response, vernalization, and plant height. The frequency of positive alleles for specific marker-trait associations differed among the programs, suggesting targets for introgression by the respective breeding programs.
Mechanism of replication-coupled DNA-protein crosslink proteolysis by SPRTN and the proteasome

DNA-protein crosslinks (DPCs) are bulky DNA lesions that interfere with DNA metabolism and therefore threaten genomic integrity. Recent studies implicate the metalloprotease SPRTN in S-phase removal of DPCs, but how SPRTN activity is coupled to DNA replication is unknown. Using Xenopus egg extracts that recapitulate replication-coupled DPC proteolysis, we show that DPCs can be degraded by SPRTN or the proteasome, which act as independent DPC proteases. Proteasome recruitment requires DPC polyubiquitylation, which is triggered by single-stranded DNA, a byproduct of DNA replication. In contrast, SPRTN-mediated DPC degradation is independent of DPC polyubiquitylation but requires polymerase extension of a nascent strand to the lesion. Thus, SPRTN and proteasome activities are coupled to DNA replication by distinct mechanisms and together promote replication across immovable protein barriers. Highlights The proteasome, in addition to SPRTN, degrades DPCs during DNA replication Proteasome-dependent DPC degradation requires DPC ubiquitylation DPC ubiquitylation is triggered by ssDNA and does not require the replisome SPRTN-dependent DPC degradation is a post-replicative process
SILICA NANOPARTICLES WITH ANISOTROPIC SHAPE AS FILLERS FOR DENTAL COMPOSITE MATERIALS

Silica nanoparticles with different morphologies were synthesized via the sol gel route by using surfactants as structure directing agents. SEM and nitrogen sorption measurements were applied for characterization. The particles were functionalized and incorporated into a photo-polymerizable matrix to generate the composite material. The mesoporous pore system of the particles could be used as a drug delivery system for silver nanoparticles. The antibacterial properties of silver nanoparticles against E. coli and S. aureus have been investigated as a reference system.
A Synthesis and Systematic Review of Policies on Training and Deployment of Human Resources for Health in Rural Africa

Background: The majority of African countries are enduring a health human resource (HHR) crisis, lacking sufficient personnel to deliver basic healthcare to their populations, especially those most vulnerable in rural areas. Maternal and child health (MCH) and HHR are prioritized in many health planning dialogues, Millennium Development Goal progress reports and post-2015 agendas. With resource constraints, country-level policy makers have a reduced capacity to review and synthesize available policy information and build evidence-based policies to effectively use scarce HRH. A systematic review of evidence on training and deployment policies for doctors, nurses and midwives for MCH in rural Africa was undertaken by the WHO/PAHO Collaborating Centre on Health Workforce Planning & Research, and partners the University of Zambia School of Medicine (UNZASoM) and an international Advisory Group (AG).
CLASSIFICATION OF ACOUSTIC SCENES BASED ON MODULATION SPECTRA AND THE CEPSTRUM OF THE CROSS CORRELATION BETWEEN BINARUAL AUDIO CHANNELS

A system for the automatic classiﬁcation of acoustic scenes is proposed that uses one audio channel for calculating the spectral distribution of energy across auditory-relevant frequency bands, and some descriptors of the envelope modulation spectrum (EMS) obtained by means of the discrete cosine transform. When the stereo-phonic signal captured by a binaural microphone is available, this parameter set is augmented by including the ﬁrst coefﬁcients of the cepstrum of the cross-correlation between both audio channels. This cross-correlation contains information on the angular distribution of acoustic sources. These three types of features (energy spectrum, EMS and cepstrum of cross-correlation) are used as inputs for a multilayer perceptron with two hidden layers and a number of adjustable parameters below 15,000.
Muelleria Vol 32, 2014

Documenting the introduced plants of a region is an important aspect of understanding and managing the landscape. The dynamic nature of plant naturalisations means that the status of individual taxa may change with time. Taxa may become more widespread and common; others become the target of eradication initiatives. In some cases, species may be erroneously regarded as part of a flora because definitions of naturalisation may be variously interpreted and/or applied at different points in time. The present appraisal compared a defined set of statuses with the 150 taxa listed in the 2016 edition of A Census of Vascular Plants of Tasmania, including Macquarie Island as ‘sparingly naturalised’. Eight taxa were found to be better described as ‘status uncertain’, six as ‘previously naturalised’, 22 as ‘fully naturalised’, 37 as ‘not naturalised’, 38 as ‘doubtfully naturalised’ and 39 remained as ‘sparingly naturalised’.
BULK AND SURFACE PROPERTIES OF METALLIC ALUMINIUM: DFT SIMULATIONS

This paper describes the atomic and electronic structure of bulk aluminium as well as densely-packed Al(111) and Al(001) surfaces calculated by means of the ab initio density functional method as implemented in the CRYSTAL code. Both cohesive properties (lattice constant, bulk modulus, elastic constants and cohesive energy) as well as electronic properties (band structure and difference electron density plots) are analyzed and compared with corresponding theoretical and experimental data obtained for bulk aluminium earlier. Three, five and seven layer slabs have been used to simulate regular Al(111) and Al(001) surfaces and also a stepped aluminium surface containing both {111} and {001} microfacets on the steps. Relaxation geometry and energies, surface energies and electrostatic potentials have been evaluated for the all slab models. The electronic structure of slabs is discussed in terms of Mulliken population analysis, multipole moments perpendicular to the surface, surface-atom core-level shifts, as well as the properties calculated for bulk Al.
Impact of Green Marketing Mix on Customers’ Green Purchasing Intention with Special Reference to Sri Lankan Supermarkets

The purpose of the study is to examine the influence of green marketing mix on customers’ green purchasing intention with special reference to supermarkets in Sri Lanka. A total of 173 responses were collected through a self-administered questionnaire based on the convenience sampling approach. The questionnaire was designed to study the impact of green product, green price, green place and green promotion on green purchase intention through customers’ attitudes towards the environment. A conceptual model was derived and tested using Multiple Regression Analysis. Findings revealed that there is a significant impact on green product, green price and green promotion by green purchase intention. The study included mediation analysis to test the mediating impact of consumers’ environmental attitude on the relationship between green marketing mix and green purchase intention. Green product and green price were proven to have a significant impact on green purchase intention because of customers’ environmental attitudes. Based on these findings, the academic and practical implications are discussed in detail in the study.
A corpus-based analysis of syncopated patterns in ragtime

In this paper, we build on and extend a number of previous studies of rhythmic patterns that occur in ragtime music. All of these studies have used the RAG-C dataset of approximately 11,000 symbolically-encoded ragtime pieces to identify salient rhythmic patterns in the corpus and qualify how they are used. Ragtime music is distinguished from other musical genres by frequent use of syncopation, and previous computational studies have confirmed a number of musicological hypotheses regarding the use of syncopated patterns in ragtime compositions. In this work, we extend these studies to investigate further questions involving the use of syncopation. Specifically, we introduce a new methodological framework for processing the RAG-C dataset and confirm that experiments from previous studies obtain similar results using the new methodology. We investigate the use of the common ``short-long-short'' syncopated pattern in different time periods and present new results detailing its use by three well-known ragtime composers. We describe how the use of other syncopated patterns has evolved over time and the different distributions of patterns that result from those changes. Lastly, we present novel results identifying statistically significant patterns in the way composers varied the amount of syncopation in consecutive measures in compositions.
On Leveraging Visual Modality for Speech Recognition Error Correction

We present our recent efforts on leveraging visual modality for automated speech recognition (ASR) error correction. A visually grounded attention-based Sequence-to-Sequence (S2S) model is trained to correct contextual and functional word errors in transcripts/outputs of unimodal ASR systems. Speciﬁcally, our error correction model address the problem of semantic gap in multimodal fusion, which allows high-level visual features to be combined with comparably high-level text features. Visual-semantic joint embedding and language model are used to rescore the n-best list output by the error correction model. Tested on the How2 dataset, visually grounded error correction led to only marginal improvements over the unimodal ASR system. We provide error analysis on the output of visually grounded ASR error correction model, and propose a potential solution based on the analysis.
Impact of E-Banking User Behavior to Loyalty

This study aims to analyze the Influence of Customer Behavior electronic banking users in the study of Islamic banks in East Java, using explanatory research (explanation), this study conducted a study of the relationship between two or more variables, then tried to explain the phenomenon that happens on stage early will know the extent to which customers believe in the existence of e-banking, after further customer confidence arising will form a true customer commitment and, last but not least the importance of trust and commitment to the customer then tested as well whether it will also create a customer loyalty to the existence of ebanking. KEYWORDS–Explanatory, E-Banking, Syariah Bank, Trust, Commitment, Bank Customer
Elimination of Suspended Cell Wall Material in Musts Improves the Phenolic Content and Color of Red Wines

Some studies have shown that the transfer rate of phenolic compounds from grape to must may be limited, among other reasons, because of interactions between phenolic compounds and the cell wall. One hypothesis is that after grapes are crushed to obtain the fermenting must, part of the skin and seed proanthocyanidins and anthocyanins are bound to skin and pulp cell walls present in the must in large concentrations, preventing these pigments from contributing to the final wine phenolic compounds. To test this assumption in a real vinification, a control red wine vinification was compared with a modified red wine vinification, in which a settling step similar to that commonly used for production of white and rosé wines was included. The chromatic characteristics and the tannin content of the wines were measured, revealing that the wine obtained with the modified method contained a significantly higher quantity of phenolic compounds (23% increase in anthocyanin concentration and 43% increase in tannin concentration), and had improved chromatic characteristics.
Techniques for Prescribing Optimal Timber Harvest and Investment Under Different Objectives—Discussion and Synthesis

Sulfonic acids are converted into a hydrocarbon oil of superior oxidation stability by transforming the acids into compounds selected from the group consisting of ammonium sulfonates, substituted ammonium sulfonates, and sulfonic acid esters; and hydrotreating the resultant sulfonic acid derivatives at elevated temperatures in the presence of a hydrotreating catalyst. The hydrotreating process frees the parent hydrocarbons that originally constituted the organic portion of the sulfonic acids by cleaving the carbon-sulfur bond of the sulfonic acid derivatives. These parent hydrocarbons are recovered from the reaction products of the hydrotreating step and comprise a hydrocarbon oil that exhibits a higher stability toward oxidation than can otherwise be obtained from other hydrocarbon oils of similar composition and viscosity.
Deep Multi Armed Bandit

This work is done for the course Reinforcement Learning taught by A LESSANDRO L AZARIC in the master Mathématiques Vision Apprentissage at ENS Cachan. We investigate several neural approaches to tackle the Contextual Multi Armed Bandit problem and deal with the Exploration-Exploitation dilemma.
Ownership Concentration and Earnings Restatement of Listed Industrial Goods Manufacturing Companies in Nigeria

This study is undertaken to examine the relationship between corporate ownership concentration and earnings restatement of listed industrial-goods manufacturing firms in Nigeria, using firm size as a moderator. Based on convenience sampling, a panel data from ten industrial goods manufacturing companies that are listed on the Nigerian Stock Exchange were collected from 2012 to 2018. Inferential analyses were done using logit regression techniques, based on 5% level of significance. Firm size was used as the contextual factor. On the final analysis, it was found that ownership concentration was negatively and significantly associated with both income-increasing and income-decreasing earnings restatements and firm size was able to significantly moderate only the relationship between incomedecreasing earnings restatement and ownership concentration. Therefore, based on the results obtained, we concluded that block shareholding is a strategic deterrence mechanism against earnings restatements. We therefore recommended that the Securities and Exchange Commission of Nigeria should evolve institutionalization of block shareholdings and shareholders’ activism, to be championed by block shareholders to enhance their monitoring role. Also, regulatory bodies should pay close attention to small firms’ high propensity to restate earnings.
Functional and genetic diversity of soil microbial communities along a gradient of succession in a chalk grassland in north-western France

Plant and microbial communities were compared through their composition, their diversity and their function in a chalk grassland in north-western France. A spatialised sampling design and multivariate statistic analysis permitted to describe the plant succession and to identify four stages of succession from short grasslands to early stages of woodland. In each stage, several measures were collected on vegetation (floristic data and biomass), soil parameters (total carbon, soluble C, total nitrogen, soil polysaccharides) and soil microbial communities (microbial biomass, genetic diversity assessed by ARDRA 16S and 18S, functional diversity assessed using BIOLOG). Our first results do not show clear trends between vegetation and microbial diversity. However, soil parameters and functional microbial diversity discriminated the shrub vegetation.
LOW-COMPLEXITY ACOUSTIC SCENE CLASSIFICATION USING PRIMARY AMBIENT EXTRACTION AND CYCLEGAN Technical Report

This report describes our submissions for DCASE2020 Challenge task 1b (Low-Complexity Acoustic Scene Classification). In each submission, constant-Q transform is used as acoustic feature, and the corresponding classifier is a full convolution neural network based on residual blocks. The classifier parameters use half-pre-cision (16 bit) float-point number to limit the model size and accelerate training. We use primary ambient extraction in the audio front-end processing, and generate virtual samples according to the phase information of binaural audio. These virtual samples will be used for one of the submissions. We also used the virtual samples generated by CycleGAN for another submission. Finally, we give a 4-fold cross validation submission that meets the complexity limit. The highest macro recognition accuracy of the above methods in the development dataset is 96.05%, and the log loss is 0.120.
PERCEPTIONS OF TEACHERS ABOUT JOB SATISFACTION WITH SPECIAL EMPHASIS ON A TO T APPROACH: A QUALITATIVE STUDY

India, like rest of the world is gearing itself for the different challenges posed by lockdown due to Covid 19 pandemic. Educational institutions across India are facing a lot of challenges. Collection of fees, providing salary to the teaching and non-teaching staff, digitalization of traditional classroom are few of the immediate challenges. Traditional classrooms have now shifted to many individual room spread across the country. Teachers play a vital role in imparting knowledge to the students. The National Policy on Education (1986 and 2020) accepts that no education system can rise above the quality of its teachers. Teaching job may be demanding and involves heavy work load and controlling of unruly students which may result in felling of frustration. Job satisfaction is a positive or pleasant emotional state resulting from a person's appreciation of his/her own job or experience. Unsatisfied teachers do not contribute wholeheartedly in the development of the students and country at a large whereas highly satisfied teachers help in the achievement of educational aims set by the country. This paper discusses how Covid 19 pandemic has affected the teachers on a whole and at the same time has come as an opportunity to all where we can work for professional upliftment and personal growth. At this time of stress and job insecurity, the paper proposes the A to T approach to Job Satisfaction of school teachers.
Function and Compensatory Mechanisms Among the Components of the Chloroplastic Redox Network

Abstract Life on earth depends on the presence of photoautotrophic organisms that are able to input carbon into the ecosystems through the process of photosynthesis which, with a few specialized exceptions, takes place within the chloroplast. This organelle contains the most complex redox system in plants being composed of numerous players including thiol reductases, peroxidases, and glutathione-related enzymes. It seems likely that these proteins act together to adjust redox metabolism enabling plants to grow efficiently under both normal and stressed conditions. However, our knowledge concerning how these proteins interact and if they can compensate one another is relatively limited. This is in part due to the failure of considering these components from a systemic perspective. Here, we provide a systemic view of the chloroplastic-redox network highlighting how it operates and how its components co-operate to maintain efficient chloroplastic function. We further explore the cross-talk between chloroplastic-redox metabolism and that of other subcellular compartments. Given the complexity of plant redox metabolism and the compensatory role played by different redox systems, we argue that a unique possibility to understand this system is afforded by systems biology approaches and by characterizing mutants for multiple genes. Taking this into account, we highlight how gene co-expression and protein–protein network analyses coupled with different reverse genetic strategies could be used to reveal the function, potential redundancies, and complementarities among the components of the chloroplastic redox network.
Thioredoxin Promotes ASK1 Ubiquitination and Degradation to Inhibit ASK1-Mediated Apoptosis in a Redox Activity-Independent Manner

It has been shown that thioredoxin (Trx) in a reduced form binds to and inhibits apoptosis signal-regulating kinase 1 (ASK1). Apoptotic stimuli such as tumor necrosis factor (TNF) and reactive oxygen species (ROS) activate ASK1 in part by oxidizing Trx (forming intramolecular disulfide between C32 and C35) to release Trx from ASK1. In the present study, we examined if Trx affects ASK1 protein stability and whether the redox activity of Trx is critical in regulating ASK1 activity. First, we showed that overexpression of the wild-type Trx (Trx-WT) in endothelial cells induced ASK1 ubiquitination and degradation. Trx-induced ASK1 ubiquitination/degradation could be blocked by ASK1 activators TNF and TRAF2. We then tested the single-mutation of Trx at the catalytic site C32 or C35 (Trx-C32S or Trx-C35S) and the double-mutation (Trx-CS). The results showed that the single mutants (but not Trx-CS) retained the binding activity for ASK1 and the ability to induce ASK1 ubiquitination/degradation. Unlike Trx-WT, Tr.