Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of BERT Models by Using Sentence Clustering

For evaluation of pre-trained models like bidirectional encoder representations from trans-formers (BERT), task-based approaches are frequently adopted and there is a possibility that meta parameters for ﬁne-tuning inﬂuence results of the evaluations. However, task-based approaches for languages, except English, have a problem-there is no common dataset for their evaluation. Hence, evaluating pre-trained models for these languages with task-based approaches is challenging. In this work, we evaluate Japanese pre-trained BERT models with CLS token. We input labeled sentences to models, get CLS token embeddings, and calculate scores from in-class and out-of-class dispersions, which can be calculated from embeddings and labels of sentences. Experiment results show that a model released by Laboro.AI Inc. is the best Japanese pre-trained BERT model. Meanwhile, the results of evaluation with sentence clustering are different from those of evaluations that are based on ﬁll mask task.
A New Trajectory Tracking Algorithm for Autonomous Vehicles Based on Model Predictive Control

Trajectory tracking is a key technology for precisely controlling autonomous vehicles. In this paper, we propose a trajectory-tracking method based on model predictive control. Instead of using the forward Euler integration method, the backward Euler integration method is used to establish the predictive model. To meet the real-time requirement, a constraint is imposed on the control law and the warm-start technique is employed. The MPC-based controller is proved to be stable. The simulation results demonstrate that, at the cost of no or a little increase in computational time, the tracking performance of the controller is much better than that of controllers using the forward Euler method. The maximum lateral errors are reduced by 69.09%, 47.89% and 78.66%. The real-time performance of the MPC controller is good. The calculation time is below 0.0203 s, which is shorter than the control period.
BtuB-Dependent Infection of the T5-like Yersinia Phage ϕR2-01

Yersinia enterocolitica is a food-borne Gram-negative pathogen responsible for several gastrointestinal disorders. Host-specific lytic bacteriophages have been increasingly used recently as an alternative or complementary treatment to combat bacterial infections, especially when antibiotics fail. Here, we describe the proteogenomic characterization and host receptor identification of the siphovirus vB_YenS_ϕR2-01 (in short, ϕR2-01) that infects strains of several Yersinia enterocolitica serotypes. The ϕR2-01 genome contains 154 predicted genes, 117 of which encode products that are homologous to those of Escherichia bacteriophage T5. The ϕR2-01 and T5 genomes are largely syntenic, with the major differences residing in areas encoding hypothetical ϕR2-01 proteins. Label-free mass-spectrometry-based proteomics confirmed the expression of 90 of the ϕR2-01 genes, with 88 of these being either phage particle structural or phage-particle-associated proteins. In vitro transposon-based host mutagenesis and ϕR2-01 adsorption experiments identified the outer membrane vitamin B12 receptor BtuB as the host receptor. This study provides a proteogenomic characterization of a T5-type bacteriophage and identifies specific Y. enterocolitica strains sensitive to infection with possible future applications of ϕR2-01 as a food biocontrol or phage therapy agent.
GROWTH PARTICULARITIES OF AMERICAN POKEWEED – PLANT WITH MULTIPURPOSE UTILIZATION

American pokeweed (Phytolacca americana L.) is a good ornamental plant due to its ability to grow rapidly, broad and tall vegetation, and attractive grape-like fruits. However, American pokeweed and some useful chemical constituents, which accumulate in different parts of this plant, until present, in our opinion, are not utilised sufficient effectively. The leaves and seeds of Phytolacca americana L. produce pokeweed antiviral protein with increased antiviral and antifungal activities. Natural dyes accumulated in fruits can be used in the food, cosmetic, pharmaceutical and textile industries. The purpose of this work was to study the growth particularities of pokeweed plants propagated by seeds, and to establish the content and antioxidant activity of main constituents (polyphenols and colorant substances) in ripe fruits. American pokeweed demonstrated the excellent adaptivity of seeds and seedlings under different condition of germination, transplantation and cultivation. In season of 2019, the vegetation cycle of Phytolacca americana L. annual plants continued maximal 210 days (from March to November). The biometrical indexes of stems, racemes, fruits and seeds corresponded to similar characters reported by other scientists. The aqueous and hydroalcoholic extracts were obtained from ripe fresh fruits. The biggest amount of polyphenolic and colorant substances was found in aqueous extracts. The antioxidant activity of Phytolacca americana L. fruit extracts, evaluated in vitro by potentiometric procedure against the peroxyl free radicals, was in direct proportion to the content of polyphenols (r2=0.9563) and colorant substances (r2=0.9808). The colorant substances from American pokeweed fruits possessed the high antioxidant activity, IC50 was equal to 259.65±2.60mg/l.
Applied Regularization Methods for the Social Sciences

This section will review those books whose content and level reflect the general editorial policy of Technometrics. Publishers should send books for review to Ejaz Ahmed, Department of Mathematics and Sciences, Brock University, St. Catharines, ON L2S 3A1 (dean.fms@brocku.ca). The opinions expressed in this section are those of the reviewers. These opinions do not represent positions of the reviewers’ organization and may not reflect those of the editors or the sponsoring societies. Listed prices reflect information provided by the publisher and may not be current. The book purchase programs of the American Society for Quality can provide some of these books at reduced prices for members. For information, contact the American Society for Quality at 1 (800) 248-1946.
Backtracking Search Algorithm With Single and Multi-Objective Function for the Solution of Optimal Power Flow Problem

This manuscript investigates the performance of the backtracking search algorithm (BSA) to minimize various objectives for an economical and secure power system. A variety of single and multi - objectives are delineated and solved. This manuscript also includes the valve-point loading effect alongside the objectives considered. The simulation has been computed in the IEEE 30-bus, IEEE 57-bus and IEEE 118-bus test network. The simulation outcomes as obtained by the proposed BSA and various algorithms are compared. Convergence curves are plotted to testify the characteristics of the proposed BSA for proceeding towards the global minima.
The effect of efficiency ratio, Bad Credit and Profitability to Capital Adequacy Ratio at Sharia Commercial Banks in Indonesia Year 2014-2018

This study aims to determine the effect of efficiency ratios, non-perfoming loans, and profitability on the capital adequacy ratio in Islamic Commercial Banks in Indonesia 2014-2018. This research is a quantitative study with secondary data from financial reports. Purposive sampling is a sampling technique use in this study so that there are 14 samples of Islamic commercial banks during the 2014-2018 period. The data analysis used is multiple linear regression analysis with the SPSS application. The results obtained by two dependent variables, the efficiency ratio and non-performing loans have an influence on the capital adequacy ratio. Meanwhile, profitability partially has no effect on the capital adequacy ratio.
A process for reviewing mental health apps: Using the One Mind PsyberGuide Credibility Rating System

Objective Given the increasing number of publicly available mental health apps, we need independent advice to guide adoption. This paper discusses the challenges and opportunities of current mental health app rating systems and describes the refinement process of one prominent system, the One Mind PsyberGuide Credibility Rating Scale (PGCRS). Methods PGCRS Version 1 was developed in 2013 and deployed for 7 years, during which time a number of limitations were identified. Version 2 was created through multiple stages, including a review of evaluation guidelines and consumer research, input from scientific experts, testing, and evaluation of face validity. We then re-reviewed 161 mental health apps using the updated rating scale, investigated the reliability and discrepancy of initial scores, and updated ratings on the One Mind PsyberGuide public app guide. Results Reliabilities across the scale's 9 items ranged from −0.10 to 1.00, demonstrating that some characteristics of apps are more difficult to rate consistently. The average overall score of the 161 reviewed mental health apps was 2.51/5.00 (range 0.33–5.00). Ratings were not strongly correlated with app store star ratings, suggesting that credibility scores provide different information to what is contained in star ratings. Conclusion PGCRS summarizes and weights available information in 4 domains: intervention specificity, consumer ratings, research, and development. Final scores are created through an iterative process of initial rating and consensus review. The process of updating this rating scale and integrating it into a procedure for evaluating apps demonstrates one method for determining app quality.
8. Perceptions of Leadership

Introduction There is a massive literature on leadership and leadership qualities (for some reviews see Grint 2000; Porter and McLoughlin 2006; Hunter et al. 2007; Mumford et al. 2008). Much of this literature concerns leadership in private sector organisations, but a great deal also concerns leadership in politics (Peele 2005; Morrel and Hartley 2006). There can be no doubt that personal psychological characteristics help some people to become leaders, and such characteristics can also help determine which leaders come to be seen as good or bad, strong or weak, progressive or regressive, and so on (Hogan and Kaiser 2005). Most accounts of leadership in the literature concentrate upon these qualities in the leader herself. It has frequently been remarked that accounts of good leadership often resemble a checklist of good qualities. As has also been noted, these lists are not always consistent and are sometimes contradictory. The reason, of course, is that qualities useful in some circumstances (‘a good leader will show willingness to take a risk’) might prove disastrous in other circumstances (‘a good leader will be cautious where conditions dictate’ (Boin et al. 2005: ch. 1)). Furthermore, whether a given risk was justified, or whether caution is later seen as the best course of action, is judged in retrospect, and so, is often not helpful as advice to a prospective leader.
Effects of stress after road transportation and oral administration of chromium and meloxicam on plasma cortisol concentrations and behavior in dairy calves

Objective This study was performed to determine the effects of stress after road transportation and oral administration of chromium and meloxicam on growth performance, plasma cortisol, serum metabolites, and behavior in dairy calves. Methods A total of 50 Holstein heifers (average body weight [BW]: 172±4.19 kg; average age: 5.53±0.12 months) were randomly assigned to five groups including NL (not transported + D-lactose; 1 mg/kg BW), TL (transported + D-lactose; 1 mg/kg BW), TC (transported + chromium; 0.5 mg/kg dry matter [DM] feed), TM (transported + meloxicam; 1 mg/kg BW), and TMC (transported + combination of meloxicam and chromium; 1 mg/kg BW and 0.5 mg/kg DM, respectively). Doses of D-lactose monohydrate, meloxicam, and chromium were prepared for oral administration by suspension in 15 mL of water in a 20-mL dosing syringe. Blood was collected before transportation, immediately after 120 km of transportation (IAT), and at 6, 24, and 48 h after transportation. Results Neither transportation nor administration of meloxicam and/or chromium affected (p = 0.99) average daily gain and feed intake. Plasma cortisol concentrations in the NL group (average 0.13 and 0.18 nmol/L, respectively) were lower (p<0.001) compared to the TL group (average 0.39 and 0.61 nmol/L, respectively) at IAT and 48 h after transportation. At 48 h after transportation, cortisol concentrations were lower (p<0.05) in the TC group (average 0.22 nmol/L) than in the TL group (average 0.61 nmol/L), and TC calves had similar cortisol concentrations to NL calves. Lying duration (min/d) was shorter (p<0.05) in the TL group than in the NL group at 2 d after transportation. Lying duration was longer (p<0.05) for the TC and TMC groups than for the TL group at 2 d after transportation. Conclusion Transportation increased cortisol concentrations and affected lying behavior, while chromium administration reduced cortisol concentrations and changed lying behavior. Thus, chromium administration before transportation may be a viable strategy to alleviate stress elicited by road transportation.
Patriarchy Canonization: Comparing Women's Political Participation in Matrilineal and Patrilineal Orders in Sumatra, Indonesia.

The purpose of this study is to describe a recent comparison of women's political participation based on empirical evidence on the matrilineal and patrilineal orders in West and North Sumatra, respectively. This study was motivated by the low involvement of women in politics in the 2014 and 2019 general elections. The study offers specific insights into kinship order as political allegiance. This is a qualitative research carried out using a pragmatic methodological approach with academic discussions directed at the relationship between kinship and political participation. The results showed that the canonization of Islamic patriarchy in the matrilineal order impacts involution and exclusive women in the domestic arena. Meanwhile, the canonization of Christian patriarchy in the patrilineal order impacts devolution and inclusive women in politics. Therefore, based on this empirical evidence, it is concluded that the kinship system is not a relevant political allegiance.
Isotype heterojunction g-C3N4/g-C3N4 nanosheets as 2D support to highly dispersed 0D metal oxide nanoparticles: Generalized self-assembly and its high photocatalytic activity

Graphitic carbon nitride (g-C3N4) has attracted increasing interest in recent years as a metal-free polymeric photocatalyst for water splitting and degradation of organic pollutants. However, the relatively low photocatalytic activity and serious aggregation of g-C3N4 nanosheets substantially limit its applications. Herein, we propose a generalized and facile bottom-up approach to self-assembly synthesis of isotype heterojunction g-C3N4/g-C3N4 nanosheets/0D metal oxide nanoparticles hierarchical architectures, in which the highly dispersed 0D metal oxide (CeO2 and ZnO as representatives) nanoparticles are anchored on 2D flexible g-C3N4/g-C3N4 heterojunction nanosheets, and the former can be spatially separated by the latter as well. The pyrolysis-induced gases play a critical role in the construction of unique 0D metal oxide/2D g-C3N4/g-C3N4 (metal oxide/CN-UT) hierarchical architectures, which possess improved light harvesting and pollutant adsorption capacity, as well as enhanced separation of photoinduced charge carriers via the three-level electron–hole transfer process owing to the intimate contact between constituents and band alignment among them. As a result, the obtained metal oxide/CN-UT exhibits extraordinary photocatalytic performance under natural sunlight and indoor light illumination. This work demonstrates a generalized bottom-up synthetic method to design efficient composite photocatalysts by adopting integrative nanostructure engineering and a cocatalyst strategy and highlights the promising applications in the field of energy and environment.
Study of two-dimensional boundary layer thin film fluid flow with variable thermo-physical properties in three dimensions space

The conversion of study in two dimensional (x, y) medium into three dimensions space (x, y, z) of a magnetohydrodynamic mixed convective heat and mass transfer boundary layer flow of a thin film second-grade fluid with temperature dependent viscosity and thermal conductivity in the presence of thermal radiation and viscous dissipation past a stretching sheet is analyzed. The occurrence of Hall current in two dimensional (x, y) medium produces a force in z-direction which generates a cross flow in that direction and so the motion is made in three dimensions space (x, y, z). Similarity transformations are used and the transformed system of equations of the problem has been solved by utilizing homotopy analysis method. The salient impacts of the emerging parameters on velocities, temperature and concentration fields have been displayed graphically and illustrated.The conversion of study in two dimensional (x, y) medium into three dimensions space (x, y, z) of a magnetohydrodynamic mixed convective heat and mass transfer boundary layer flow of a thin film second-grade fluid with temperature dependent viscosity and thermal conductivity in the presence of thermal radiation and viscous dissipation past a stretching sheet is analyzed. The occurrence of Hall current in two dimensional (x, y) medium produces a force in z-direction which generates a cross flow in that direction and so the motion is made in three dimensions space (x, y, z). Similarity transformations are used and the transformed system of equations of the problem has been solved by utilizing homotopy analysis method. The salient impacts of the emerging parameters on velocities, temperature and concentration fields have been displayed graphically and illustrated.
Application of Meta-Heuristic Algorithm for Finding the Best Solution for the Optimal Power Flow Problem

: Optimal power flow (OPF) is an important problem in the power system operation. The purpose of the OPF problem is to optimize a defined objective function by modifying variables of control such as real power at generator buses except slack bus generator, voltages at all generator buses, reactive power of compensators and tap ratio of transformers while all constraints are satisfied. This paper is proposed an approach based on the artificial ecosystem optimization (AEO) to solve problem of optimal power flow. The suggested algorithm is tested on the IEEE-30 bus systems with five target functions consisting of fuel cost, emission, power loss, voltage deviations and L_index. The results obtained of the suggested AEO approach compared with equilibrium optimizer (EO), particle swarm optimization (PSO), sunflower optimization (SFO), genetic algorithm (GA) and other exiting methods. The results simulation shows that, standard deviation obtained value after 50 independent runs by the proposed AEO algorithm is better compared with EO, PSO, SFO and GA method. The fuel cost, emissions, active power loss and voltage deviations levels are reduced by 11.21%, 44.06%, 46.44%, and 92.13% respectively, compared to the initial case. Furthermore, for other exiting methods the improvement level percentage (IL) of the proposed AEO algorithm can be up to 0.2285 % for fuel cost objective, 0.137% for emission objective, 7.618% for total power loss objective, 89.85% for voltage deviation objective and 0.652% for L_index objective. Thus, the proposed AEO method is also one of effective and reliable algorithms for handling OPF problem.
Preparation, characterization and catalytic application of nano-Fe3O4@SiO2@(CH2)3OCO2Na as a novel basic magnetic nanocatalyst for the synthesis of new pyranocoumarin derivatives

We present a study on the synthesis, characterization and application of sodium carbonate tag silica-coated nano-Fe3O4 (Fe3O4@SiO2@(CH2)3OCO2Na) as a novel and efficient heterogeneous basic catalyst. The described catalyst was fully characterized via FT-IR, X-ray diffraction (XRD), energy dispersive X-ray spectroscopy (EDS), and field emission scanning electron microscopy (FE-SEM). The reported novel magnetic nanocatalyst presents an excellent activity and catalytic performance for the synthesis of a novel series of pyranocoumarins through the reaction of dialkyl acetylenedicarboxylates and 5,7-dihydroxy coumarin derivatives at 100 °C under solvent-free conditions.
Mandrake: visualizing microbial population structure by embedding millions of genomes into a low-dimensional representation

In less than a decade, population genomics of microbes has progressed from the effort of sequencing dozens of strains to thousands, or even tens of thousands of strains in a single study. There are now hundreds of thousands of genomes available even for a single bacterial species, and the number of genomes is expected to continue to increase at an accelerated pace given the advances in sequencing technology and widespread genomic surveillance initiatives. This explosion of data calls for innovative methods to enable rapid exploration of the structure of a population based on different data modalities, such as multiple sequence alignments, assemblies and estimates of gene content across different genomes. Here, we present Mandrake, an efficient implementation of a dimensional reduction method tailored for the needs of large-scale population genomics. Mandrake is capable of visualizing population structure from millions of whole genomes, and we illustrate its usefulness with several datasets representing major pathogens. Our method is freely available both as an analysis pipeline (https://github.com/johnlees/mandrake) and as a browser-based interactive application (https://gtonkinhill.github.io/mandrake-web/). This article is part of a discussion meeting issue ‘Genomic population structures of microbial pathogens’.
Surface Design of Liquid Separation Membrane through Graft Polymerization: A State of the Art Review

Surface modification of membranes is an effective approach for imparting unique characteristics and additional functionalities to the membranes. Chemical grafting is a commonly used membrane modification technique due to its versatility in tailoring and optimizing the membrane surface with desired functionalities. Various types of polymers can be precisely grafted onto the membrane surface and the operating conditions of grafting can be tailored to further fine-tune the membrane surface properties. This review focuses on the recent strategies in improving the surface design of liquid separation membranes through grafting-from technique, also known as graft polymerization, to improve membrane performance in wastewater treatment and desalination applications. An overview on membrane technology processes such as pressure-driven and osmotically driven membrane processes are first briefly presented. Grafting-from surface chemical modification approaches including chemical initiated, plasma initiated and UV initiated approaches are discussed in terms of their features, advantages and limitations. The innovations in membrane surface modification techniques based on grafting-from techniques are comprehensively reviewed followed by some highlights on the current challenges in this field. It is concluded that grafting-from is a versatile and effective technique to introduce various functional groups to enhance the surface properties and separation performances of liquid separation membranes.