Miracle-dz/UniFAR-FTUs huggingface dataset:
Chemical composition, cytotoxicity, larvicidal, antimicrobial, adulticidal activities against Aedes aegypti of essential oils from leaves of Piper cytorphodon and Piper krukoffii Yunck

Plants of the piper genus have shown great potential in antimicrobial and insecticidal activities. This work analyzed the chemical composition and biological activities of Piper cyrtopodon and Piper krukoffii essentials oils, collected in the Amazon. These oils were 1 Corresponing author: hdffilho@ufam.edu. br Ituany da Costa Melo, Glenda Quaresma Ramos, Ana Claudia Fernandes Amaral, Wanderli Pedro Tadei, Francisco Célio Chaves Maia, Edgar Aparecido Sanches, Henrique Duarte da Fonseca FilhoChemical composition, cytotoxicity, larvicidal, antimicrobial, adulticidal activities against Aedes aegypti of essential oils from leaves of Piper cytorphodon and Piper krukoffii Yunck EUROPEAN ACADEMIC RESEARCH Vol. VIII, Issue 11 / February 2021 7033 obtained by hydrodistillation and the chemical compounds were characterized by gas chromatography/mass spectroscopy (GC-MS), showing limonene and selinene were the majority compounds of Piper cyrtopodon and Piper krukoffii, respectively. The essential oils of both species presented toxicity against Artemia salina and the antimicrobial activity showed greater responses to gram-positive bacteria. The insecticidal activity of essential oils had a mean activity against larvae and mosquitoes of Aedes aegypti, being possible agents for the control of vectors.
Web Topic 13.1 Direct Benefit Models of Cooperation

Why humans should or do cooperate has been of concern to philosophers and economists for millennia. Humans often engage in extensive cooperation with unrelated individuals showing that kin selection and greenbeard biases are not necessary to compensate for the costs of being a cooperator. This immediately raises the question of whether the same mechanisms might explain the many cooperative interactions seen in other species; at minimum, kin selection cannot explain cooperative mutualisms between different species. In this Web Topic, we introduce the evolutionary game models advanced to explain cooperation without genetic compensations, and note particular cases that may be relevant to animal communication. Because the literature on this topic, especially that dealing with human cooperation, is so extensive, we can barely do justice to it here. However, we provide some further reading sources at the end of the module that provide gateways to this larger literature. Readers of this module should be familiar with the classification of evolutionary game models and the logic of “take” and “give” games reviewed in Web Topic 10.5.
Advances in tailored fiber placement technology

The article presents an overview of the world trends in the development of the tailored fiber placement technology (TFP), which allows to obtain volume-reinforced preforms for layered composites with increased physical and mechanical properties. Primary factors hindering the large-scale implementation of the TFP process in mass production are identified. The main achievements and capabilities of the technology are presented and promising research directions for its further development are proposed.
Thematic Section: Limnology of Subtropical Aquatic Environments

Aim: We assessed the influence of substrate type and categories of riparian vegetation widths on the community structure of Odonata (Insecta) in southern Brazilian streams. Methods: Sampling took place in twelve stream reaches differing in their riparian vegetation widths (from more than 40 m up to less than 5 m). Larval odonates were collected in inorganic (stone and gravel) and organic (leaf litter) substrates at each stream reach. Differences in Odonata composition among substrates and categories of riparian vegetation width were tested using PERMANOVA and visualized with ordination diagrams. In addition, we assessed the influence of riparian vegetation width taking into account two levels of resolutions: fine (four categories: > 40 m, 30-15 m, 15-5 m and < 5 m) and coarse (narrower and broader than 15 m). Results: Odonata composition differed more strongly according to substrate type regardless of the level of resolution. Organic substrate (litter) had different composition and higher richness than inorganic ones. Odonata composition significantly differed between riparian vegetation widths at the coarser level of resolution (narrower and broader than 15 m); at the coarser level, the interaction between substrate and riparian widths was significant, with the composition from litter substrate in broader widths differing from stone and gravel in narrower widths. Conclusions: The composition of odonate larvae responded to the major reductions in riparian widths (above > 15 m), indicating that reductions above this level are enough to affect the community structure of Odonata. Additionally, the different composition of Odonata in organic substrates in broader riparian vegetation widths compared to inorganic substrates in narrower widths indicate a complex relationship between riparian vegetation and substrate in the assembly of insect communities in southern Brazilian forest streams. The interaction between riparian vegetation widths and substrate suggests that the effects of reductions in riparian widths on Odonata composition are not similar across substrate types.
Real earnings management: an alternative to avoid reporting losses

The aim of this work was to verify whether Brazilian companies listed in Brazil, Bolsa and Balcão [B]3 used real earnings management to avoid report losses. The sample consists in 157 Brazilian publicly trading companies, totaling 1570 observations from 2008 to 2017. The Roychowdhury model (2006) was used to measure earnings management. For data analysis, multiple linear regression models were used. As for the results, evidence showed that earnings management based on operational decisions was confirmed in companies that presented a profit margin between 0 and 1%.
A High Performance and Low Power Adaptive FIR filter using Approximate arithmetic circuits

: The real-world applications related to digital signal processing demand high performance computation. In such applications we use the various types of filters and one such type of filter is Adaptive Finite impulse Response filter. There are many architectures implementing the Adaptive Finite impulse Response filter. The architecture of Adaptive FIR is mainly composed of the error computing and weight updating modules. Because intensive computation is involved in practical applications, high efﬁciency and low-cost hardware is a must. Hence here a fixed-point finite impulse response adaptive filter is proposed using approximate distributed arithmetic (DA) circuits. In this design, the radix-8 booth algorithm is used to reduce the number of partial products in the DA architecture. In order to reduce the area, Kogge stone adders are used. As a result, the delay and power consumption of the proposed design are significantly reduced. Both the error computing schemes and weight updating schemes will be designed using Verilog.
Resource-Constrained Scheduling for Multi-Robot Cooperative 3D Printing

: Cooperative 3D printing (C3DP) – a representative realization of cooperative manufacturing – is a novel approach that utilizes multiple mobile 3D printing robots for additive manufacturing. It makes the makespan much shorter compared to traditional 3D printing due to parallel printing. In C3DP, collision-free scheduling is critical to the realization of cooperation and parallel operation among mobile printers. In the extant literature, there is a lack of methods to schedule multi-robot C3DP with limited resources. This study addresses this gap with two methods. The first method, dynamic dependency list algorithm (DDLA), uses a constraint-satisfaction approach to eliminate solutions that could result in collisions between robots and collisions between robots with already-printed materials. The second method, modified genetic algorithm (GA), uses chromosomes to represent chunk assignments and utilizes GA operators, such as the crossover and mutation, to generate diverse print schedules while maintaining the dependencies between chunks. Three case studies, including two large rectangular bars in different scales and a foldable SUV, are used to demonstrate the effectiveness and performance of the two methods. The results show that both methods can effectively generate valid print schedules using a specified number of robots while attempting to minimize the makespan. The results also show that both methods generate a print schedule with equal print time for the first two case studies with homogeneous chunks. In contrast, the modified GA outperforms the DDLA in the third case study, where the chunks are heterogeneous in volume and require different times to print.
Photocatalytic degradation of crystal violet by thiourea-doped TiO2 thin film fixed bed photoreactors under visible irradiation: Optimisation using central composite designs and kinetics studies by multivariate curve resolution

In this study, optimisation of the photocatalytic behaviour of crystal violet (CV) by thiourea (Tu)-codoped TiO 2 thin film in fixed bed photoreactor was investigated by central composite designs (CCDs). The effective variables were pH, the concentration of CV dye, flow rate and reaction time. The results of the CCD model showed a good agreement with experimental results, with R 2 = 0.9680 (p < 0.0001) and maximum degradation efficiency was obtained at the optimum conditions: dye concentration 8.5 mg/L, pH 9, flow rate 6 mL/min and reaction time 80 min. Subsequently, three absorbing chemical compounds presented in the degradation reaction were obtained by using singular value decomposition (SVD) method and evolving factor analysis (EFA). Then a multivariate curve resolution with alternating least squares (MCR-ALS) was performed to achieve the concentration and spectral profiles for each component. Finally, a hard modelling method was applied to determine the kinetic constants of distinct reactions occurred in the photocatalytic degradation process. The reaction rate constants were calculated for the first and second steps as k 1 = 0.08327 (SD = ±0.0015) /min and k 2 = 0.045 (SD = ±0.0006)/min, respectively. KEY WORDS : TiO 2 thin film, Photocatalytic degradation, Central composite designs, Multivariate curve resolution, Kinetic studying Bull. Chem. Soc. Ethiop. 2017 , 31(3), 383-396. DOI: http://dx.doi. org/10.4314/bcse.v31i3. 3
Pyridoxal 5'-phosphate supplementation modulates the heterologous expression and 1 activity of a PLP dependent model protein in E.coli 2

PLP is a biologically active form of Vitamin B6 and is required for carbohydrates, amino acids 30 and fatty acid metabolism. Many of the PLP dependent proteins are important drug targets and 31 effector molecules, and thus, their heterologous overexpression is of industrial importance and 32 has commercial value. We have predicted the docking site of PLP on O-acetyl serine 33 sulfhydrylase protein (OASS) of H.contortus and determined that lysine-47 is very important for 34 the binding of PLP in the enzyme pocket. We have used this protein as a model protein for 35 testing the effect of PLP on the expression of PLP dependent proteins by E.coli . We have tested 36 the effect of supplementation of PLP in the media on the expression of PLP dependent model 37 protein in E.coli . Soluble recombinant protein could be purified from each of the culture vials 38 grown with variable amount of PLP [0 mM (Group I), 0.01mM (Group II), 0.025mM (Group 39 III), 0.05mM (Group IV) and 0.1mM (Group V)]. There was approximately 4.2%, 7.2%, 10.5% 40 and 18% increase in purified protein yield in Group II, III, IV and V, respectively, in comparison 41 to group I. We studied the relative incorporation of PLP into the purified protein by scanning the 42 changes in internal fluorescence of purified proteins. There was a significant quenching of 43 tryptophan fluorescence emission in groups II, III, IV and V compared to group I (Purified 44 protein without PLP addition). There was a linear increase in the activity of protein purified from 45 cultures of group I to group V. This was due to greater availability of PLP, thus, allowing higher incorporation of the cofactor in the apoenzyme to form holoenzyme complexes. PLP is not 47 known to be directly imported into E.coli . We could find a PLP concentration-dependent 48 increase in expression and catalytic activity of the enzyme signifying the probable transport of 49 PLP across the membrane. The mechanism of transport of PLP in the light of the current 50 experiment is still unknown and should be a subject of future studies.
Influence of a mixture of calcium and zinc stearates on the thermal and mechanical properties of PVC plastic

A complex stabilizer based on a mixture of calcium and zinc stearates was developed, which was used to replace the tribasic lead sulphate in the formulation of cable polyvinyl chloride plasticate. The influence of a complex stabilizer on the basic physical and mechanical properties of cable polyvinyl chloride plasticate is investigated. It was found that the use of a complex stabilizer in the formulation of cable polyvinyl chloride plasticate does not lead to a decrease in the thermal, technological and operational characteristics of the material. It is shown that the thermal properties of the cable compound containing a complex stabilizer remains at the level of the original plastic. This is due to the ability of the complex stabilizer to effectively bind hydrogen chloride released during the destruction of the polymer matrix. It is established that the cable polyvinyl chloride plasticate containing in the formulation of a complex stabilizer in its mechanical characteristics is not inferior to the industrial compound, and in some respects surpasses it.
Parametric study and multi-objective optimization of a combined cooling, desalination and power system

Multi-generation system driven by alternative energies provides a promising solution for meeting the challenges of energy and fresh water with the rapid development of economy. In this paper, an innovative combined cooling, desalination and power (CCDP) cycle is proposed, which integrates multi-effect distillation (MED) and ejector refrigeration cycle with organic Rankine cycle. The surface warm seawater further heated by the solar energy and the deep cold seawater are taken as the heating and cooling sources, respectively. Mathematical model of the combined cycle is developed to evaluate the thermodynamic and economic performances. The effects of generation temperature, condensing temperature and evaporating temperature are investigated, and comparative analysis of five working fluids is conducted as well. The results indicate that the CCDP system with lower condensing temperature and generation temperature is conducive to obtaining higher exergy efficiency ηex, but leads to the increase of total cost rate (TCR). Furthermore, for the trade-off between thermodynamic and economic performances, a multi-objective optimization is conducted in terms of ηex and TCR as objective functions. The Pareto optimal solutions (POS) for the five working fluids are determined based on a fast and elitist non-dominated sorting genetic algorithm (NSGA-II) and decision-making technique. According to the results of POS, R601 has the best performance with 6.51 × 104 $/y of TCR and 31.62% of exergy efficiency, followed by R245fa, R600a, R236ea and R152a. The percentage of initial investment and the distribution of exergy flow for the POS of R601 are obtained as well.
Ensemble Learning Based Methods For Classification: An Overview

: Housing is not a homogeneous commodity, but rather a multidimensional bundle of services. If proliferation of urban slums, shanties and squatters’ settlements is to be drastically minimized or completely eliminated, it would be more beneficial for government and housing suppliers to provide such basic social amenities and important housing accessories. Ensemble approaches in classification is a very popular research area in recent years. An ensemble consists of a set of individually trained classifiers such as neural networks or decision trees whose predictions are combined for classifying new instances. It integrates multiple classifiers to build a classification model, and also used for improving the prediction performance.
Gaussian Density Parametrization Flow: Particle and Stochastic Approaches

Bayesian inference is intractable for most practical problems and requires approximation schemes with several trade-oﬀs. Variational inference provides one of such approximations which, while powerful, has thus far seen limited use in high-dimensional applications due to its complexity and computational cost. This paper introduces a scalable, theoretically-grounded, and simple-to-implement algorithm for approximate inference with a variational Gaussian distribution. Speciﬁcally, we establish a practical particle-based algorithm to perform variational Gaussian inference that scales linearly in the problem dimensionality. We show that our approach performs on par with the state of the art on a set of challenging high-dimensional problems.
Warpage Analysis of Injection Molded Thin-Walled Chassis Part by RSM and FEM

Warpage is one of the common defects seen in thin-walled injection moldings. There are several ways to reduce warpage in injection molding process such as optimizing process conditions, changing mold design or part design. In this study, warpage of the injection molded thin-walled chassis part of an air conditioner was investigated by finite element method (FEM) and response surface method (RSM). The material was polypropylene with 20% glass fiber and 4% chemical foaming agent. The key parameters in FEM analysis and RSM were cooling time, mold temperature and flow rate of the coolant. It has been seen that mold temperature was the most significant parameter on warpage. RSM and FEM were satisfactorily successful in predicting the warpage values.
The Effects of plant growth-promoting bacteria (PGPB) inoculation on teff growth, yield, and grain nutrient uptake of two teff varieties under field conditions ZerihunTsegaye,

Inoculation of PGPB in plants could increase rhizosphere fertility and resulted in more efficient uptake of soil nutrients without harming the environment and human health. The study aimed to examine the effect of PGPB inoculation on the growth, yield, and grain nutrient uptake of teff varieties. The experiment was carried out in a (CRBD) with three replications and 10 treatments. Variance analysis results showed that PL, NTS, SDBM, GY, SY, HI, grain N, and P uptake were highly significant (P< 0.001) for the main effect of treatment while PL, SDBM, GY, LI, and grain Fe uptake were also significant (P< 0.00) for variety. The interaction effect of the two factors did not significantly influence teff varieties, agronomic traits, and grain nutrient uptake. Treatment means comparison results revealed that PH and LI were significantly influenced by the application of 100% RDCF. The maximum PH (137.1cm) and LI (75%) were observed on Dz-01-196. Likewise, SDBM and SY significantly (P<0.001) influenced by inoculation of the PGPB consortium. The maximum SDBM (18.1 t ha) and SY (10.7t/h) were obtained from Dz-01-974. PL, NTS, HI, and GY were significantly affected by inoculation of the PGPB consortium with 50 % RDCF. The maximum PL (55.3cm), NTS (31.8cm), HI (30%), and GY (3.6t/h) were recorded on Dz-01-974. The magnitude of increase in grain yield per hectare is about 120, 590% over the treatment applied 100% RDCF and control, respectively. According to this study, the application of a native PGPB consortium with half dose of chemical fertilizer has increased teff variety yield and yield components as well as grain nutrient uptake significantly and could save 50% chemical fertilizer. Further evaluation and demonstration could be conducted at different sites and agroecology is needed to clarify the role of native PGPB inoculants with a reduced dose of chemical fertilizer as biofertilizers that exert beneficial effects on plant growth and development also as grain quality.
FPGA-based Acceleration for Convolutional
Neural Networks on PYNQ-Z2

: Convolutional neural network is now widely used in computer vision and deep learning applications. The most compute-intensive layer in convolutional neural networks is the convolutional layer, which should be accelerated in hardware. This paper aims to develop an e ffi cient hardware-software co-design framework for machine learning applications on the PYNQ-Z2 board. To achieve this goal, we develop hardware implementations of convolutional IP core and use them as Python overlays. Experiments show that the hardware implementations of the convolutional IP core outperform their software implementations by factors of up to 9 times. Furthermore, we make use of the designed convolutional IP core as hardware accelerator in the handwritten digit recognition application with MNIST dataset. Thanks to the use of the hardware accelerator for the convolutional layers, the execution performance of the convolutional neural network has been improved by a factor of 6.2 times.
SRUF: Low-Latency Path Routing with SRv6 Underlay Federation in Wide Area Network

Existing Internet routing protocols much focus on providing interconnection service for independent autonomous systems (ASes) rather than end-to-end low latency transmission. Nowadays, a growing number of applications and platforms have high requirements for low latency. However, developing new routing protocols in the wide area network that provides low latency routing service is very challenging, and remains an open problem due to the obstacles of compatibility, feasibility, scalability and efficiency. On the other hand, the ignorance of latency performance results in triangle inequality violations (TIV). In this paper, we leverage TIV and a new routing technology, SRv6, to build a new distributed routing protocol, SRv6 underlay federation (SRUF), which aims to provide low-latency routing services in network core. We design a novel method to find alternative paths with lower latency between any pair of ASes in SRUF. This method can achieve high scalability as it incurs only $O(n)$ bandwidth overhead in each member of SRUF. SRv6 is then employed to steer the flows along the selected indirect low-latency paths, while keeping compatibility to legacy routing systems. The experimental results with realworld datasets demonstrate that SRUF can effectively reduce the average end-to-end delay by 5.4% ~ 58.9%.