Miracle-dz/UniFAR-FTUs huggingface dataset:
Correcting for base-population differences and unknown parent groups in single-step genomic predictions of Norwegian Red cattle

Abstract Bias and inflation in genomic evaluation with the single-step methods have been reported in several studies. Incompatibility between the base-populations of the pedigree-based and the genomic relationship matrix (G) could be a reason for these biases. Inappropriate ways of accounting for missing parents could be another reason for biases in genetic evaluations with or without genomic information. To handle these problems, we fitted and evaluated a fixed covariate (J) that contains ones for genotyped animals and zeros for unrelated non-genotyped animals, or pedigree-based regression coefficients for related non-genotyped animals. We also evaluated alternative ways of fitting the J covariate together with genetic groups on biases and stability of breeding value estimates, and of including it into G as a random effect. In a whole vs. partial data set comparison, four scenarios were investigated for the partial data: genotypes missing, phenotypes missing, both genotypes and phenotypes missing, and pedigree missing. Fitting J either as fixed or random reduced level-bias and inflation and increased stability of genomic predictions as compared to the basic model where neither J nor genetic groups were fitted. In most models, genomic predictions were largely biased for scenarios with missing genotype and phenotype information. The biases were reduced for models which combined group and J effects. Models with these corrected group covariates performed better than the recently published model where genetic groups were encapsulated and fitted as random via the Quaas and Pollak transformation. In our Norwegian Red cattle data, a model which combined group and J regression coefficients was preferred because it showed least bias and highest stability of genomic predictions across the scenarios.
Integrating and navigating STEAM (inSTEAM) in early childhood education: An integrative review and inSTEAM conceptual framework

In early childhood education, the integration of science, technology, engineering, arts, and mathematics (STEAM) are advocated as contemporary educational goals. However, integration of STEAM is not defined in the early childhood context. We claim to ‘ integrate ’ and ‘ devise integration pedagogies ’ , but there is still no clear-cut message on what integration means and how to do it. This paper presents an integrative literature review to conceptualize the integration of STEAM practices in early childhood education. The review highlighted key factors and challenges relating to STEAM integration. The paper concludes with the development of the integrating and navigating STEAM (inSTEAM) conceptual framework derived from the concepts, empirical research, and theories explored in the integrative review of the 17 articles.
Improved Consistent Interpretation Approach of Fault Type within Power Transformers Using Dissolved Gas Analysis and Gene Expression Programming

Dissolved gas analysis (DGA) of transformer oil is considered to be the utmost reliable condition monitoring technique currently used to detect incipient faults within power transformers. While the measurement accuracy has become relatively high since the development of various off-line and on-line measuring sensors, interpretation techniques of DGA results still depend on the level of personnel expertise more than analytical formulation. Therefore, various interpretation techniques may lead to different conclusions for the same oil sample. Moreover, ratio-based interpretation techniques may fail in interpreting DGA data in case of multiple fault conditions and when the oil sample comprises insignificant amount of the gases used in the specified ratios. This paper introduces an improved approach to overcome the limitations of conventional DGA interpretation techniques, automate and standardize the DGA interpretation process. The approach is built based on incorporating all conventional DGA interpretation techniques in one expert system to identify the fault type in a more consistent and reliable way. Gene Expression Programming is employed to establish this expert system. Results show that the proposed approach provides more reliable results than using individual conventional methods that are currently adopted by industry practice worldwide.
The experiences of parents raising children with developmental disabilities in Ethiopia

The experiences of parents raising children with developmental disabilities have been widely researched, although most of this research comes from Western, high-income countries. In comparison, little is known about the lived experiences of parents of children with developmental disabilities in low- and middle-income countries and in Africa in particular. Parents’ lived experiences can provide insights into local conceptualizations of developmental disabilities, challenges children and their families face and their needs. This study explores the experiences of parents (14 mothers and 4 fathers) raising children with developmental disabilities in urban and rural Ethiopia using in-depth interviews. Cultural and religious beliefs played a role in the types of delays or differences in their child’s development that parents noticed early and the kinds of support they sought. Parents experienced stigma and lack of understanding from others. Their experiences regarding some of the challenges they faced such as lack of appropriate services varied based on where they lived (urban or rural). Single mothers especially were faced with multiple and intersecting struggles including poverty, stigma, and lack of social support. Implications for future research and interventions that aim to increase knowledge about developmental disabilities, tackle stigma and improve the lives of children and their families are discussed. Lay abstract The experiences of parents raising children with developmental disabilities have been widely researched, although most of this research comes from Western, high-income countries. In comparison, little is known about the lived experiences of parents of children with developmental disabilities in low- and middle-income countries and in Africa in particular. We interviewed 14 mothers and 4 fathers in Addis Ababa and the rural town of Butajira to explore what life is like for parents caring for children with developmental disabilities in Ethiopia. Cultural and religious beliefs played a role in the types of delays or differences in their child’s development that parents noticed early and the kinds of support they sought. Parents experienced stigma and lack of understanding from others. Their experiences regarding some of the challenges they faced such as lack of appropriate services varied based on where they lived (urban or rural). Single mothers especially were faced with multiple struggles including poverty, stigma, and lack of social support. Implications for future research and interventions that aim to increase knowledge about developmental disabilities, tackle stigma and improve the lives of children and their families are discussed.
Effects of Dominance and Sprint Interval Exercise on Testosterone and Cortisol Levels in Strength-, Endurance-, and Non-Training Men

Simple Summary Exercise is a powerful stimulus to the endocrine system, modifying plasma concentrations of many hormones, including testosterone and cortisol, which are often used to describe fatigue in sport. In our investigation, we wanted to explore the hormonal response (testosterone and cortisol) in saliva after acute exercises in men who perform endurance-training and strength-training exercises compared to a non-training group. Participants performed sprint interval exercise. During the whole exercise, the participants’ heart rates were measured, and a rating of perceived exertion was assessed immediately after each bout. The study showed that there were no differences in testosterone and cortisol changes in the endurance-training, strength-training, and non-training groups after the sprint interval exercise. We suppose that one session of the sprint interval training should have more volume (more or longer duration of sprints) to provoke testosterone and cortisol reaction in endurance-training and strength-training individuals. However, the heart rates after acute exercise in the endurance-training and strength-training groups were lower than in participants from the non-training group. Abstract The aim of the study was to investigate the response of testosterone and cortisol to sprint interval exercises (SIEs) and to determine the role of dominance. The experiment was conducted in a group of 96 men, divided into endurance-training, strength-training, and non-training groups. Participants performed SIEs consisting of 5 × 10-s all-out bouts with a 50-s active recovery. Using the passive drool method, testosterone and cortisol concentrations were measured in saliva samples at rest at 10 min pre and 12 min post exercise. Participants’ heart rate (HR) was measured during the whole exercise. Dominance was assessed by the participants before the study; the rating of perceived exertion (RPE) was measured immediately after each bout. The study showed that those who trained in endurance and strength sports had significantly lower mean HRs after five acute 10-s interval bouts than those in the non-training group (p = 0.006 and p = 0.041, respectively). Dominance has an inverse relation to changes in HR; however, it has no relation to hormone response. No significant differences were observed in testosterone and cortisol changes in the endurance-training, strength-training, and non-training groups after SIE (p > 0.05), which may indicate that the exercise volume was too low.
2000 International Student Paper Award Winner: Trust Building on Corporate Collaborative Project Teams

Trust has been identified as a success factor in successful collaboration. Senior managers may learn to trust each other during collaborative venture negotiation. However, corporate collaborative team members may have no choice regarding fellow collaborators. This paper focuses on collaborative team trust building. It discusses research considerations, current practices, literature, methodology, and results. The paper explains research implications and recommends specific actions for building corporate collaborative team trust. Proposed is a people-oriented model for trust-based project management. Integrating trust-building approaches into the collaborative team environment will help position teams and their respective companies for strategic competition in the marketplace.
Antimicrobial Susceptibility Profiles and Molecular Characterisation of Staphylococcus aureus from Pigs and Workers at Farms and Abattoirs in Zambia

Pigs have been shown to be a reservoir for recently emerging livestock-associated Staphylococcus aureus (LA-SA), including methicillin resistant strains in many countries worldwide. However, there is sparse information about LA-SA strains circulating in Zambia. This study investigated the prevalence, phenotypic and genotypic characteristics of S. aureus from pigs and workers at farms and abattoirs handling pigs in Lusaka Province of Zambia. A total of 492 nasal pig swabs, 53 hand and 53 nasal human swabs were collected from farms and abattoirs in selected districts. Standard microbiological methods were used to isolate and determine antimicrobial susceptibility patterns of S. aureus. Polymerase Chain Reaction was used to confirm the species identity and detect antimicrobial resistance and virulence genes of isolates, whereas genetic diversity was evaluated using spa typing. Overall prevalence of S. aureus was 33.1%, 37.8% for pigs and 11.8% for humans. The isolates were resistant to several antibiotics with resistance ranging from 18% to 98% but were all susceptible to vancomycin. Typical LA-SA spa types were detected. The presence of plasmid mediated resistance genes such as tetM (12.8%), other resistance determinants and immune evasion cluster genes among the isolates is of great public health concern. Thus, continuous surveillance of S. aureus using a “One health” approach is warranted to monitor S. aureus infections and spread of antimicrobial resistance.
Comparison of LSO, LGSO and MLS scintillators

The luminescence and nuclear spectroscopic properties of recent LSO, LGSO and MLS scintillators were investigated and compared to those of older LSO and LGSO crystals. UV-excited luminescent spectra outline important similarities between these scintillators. The two distinct luminescence mechanisms previously identified in LSO appear to be present in all crystals. The relative light yield and energy resolution were assessed using an avalanche photodiode (APD) readout. The energy resolution of all scintillators is found to be affected by an important systematic contribution that seriously limits the crystal resolution, irrespective of the light yield.
Neural Network Methods for Natural Language Processing

Neural networks are a family of powerful machine learning models. This book focuses on the application of neural network models to natural language data. The first half of the book (Parts I and II) covers the basics of supervised machine learning and feed-forward neural networks, the basics of working with machine learning over language data, and the use of vector-based rather than symbolic representations for words. It also covers the computation-graph abstraction, which allows to easily define and train arbitrary neural networks, and is the basis behind the design of contemporary neural network software libraries. The second part of the book (Parts III and IV) introduces more specialized neural network architectures, including 1D convolutional neural networks, recurrent neural networks, conditioned-generation models, and attention-based models. These architectures and techniques are the driving force behind state-of-the-art algorithms for machine translation, syntactic parsing, and many other applications. Finally, we also discuss tree-shaped networks, structured prediction, and the prospects of multi-task learning.
Review of Antimicrobial Resistance in Wastewater in Japan: Current Challenges and Future Perspectives

Antimicrobial resistance (AMR) circulates through humans, animals, and the environments, requiring a One Health approach. Recently, urban sewage has increasingly been suggested as a hotspot for AMR even in high-income countries (HICs), where the water sanitation and hygiene infrastructure are well-developed. To understand the current status of AMR in wastewater in a HIC, we reviewed the epidemiological studies on AMR in the sewage environment in Japan from the published literature. Our review showed that a wide variety of clinically important antibiotic-resistant bacteria (ARB), antibiotic resistance genes (ARGs), and antimicrobial residues are present in human wastewater in Japan. Their concentrations are lower than in low- and middle-income countries (LMICs) and are further reduced by sewage treatment plants (STPs) before discharge. Nevertheless, the remaining ARB and ARGs could be an important source of AMR contamination in river water. Furthermore, hospital effluence may be an important reservoir of clinically important ARB. The high concentration of antimicrobial agents commonly prescribed in Japan may contribute to the selection and dissemination of AMR within wastewater. Our review shows the importance of both monitoring for AMR and antimicrobials in human wastewater and efforts to reduce their contamination load in wastewater.
The Variable Nature of Vitamin C—Does It Help When Dealing with Coronavirus?

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is still spreading worldwide. For this reason, new treatment methods are constantly being researched. Consequently, new and already-known preparations are being investigated to potentially reduce the severe course of coronavirus disease 2019 (COVID-19). SARS-CoV-2 infection induces the production of pro-inflammatory cytokines and acute serum biomarkers in the host organism. In addition to antiviral drugs, there are other substances being used in the treatment of COVID-19, e.g., those with antioxidant properties, such as vitamin C (VC). Exciting aspects of the use of VC in antiviral therapy are its antioxidant and pro-oxidative abilities. In this review, we summarized both the positive effects of using VC in treating infections caused by SARS-CoV-2 in the light of the available research. We have tried to answer the question as to whether the use of high doses of VC brings the expected benefits in the treatment of COVID-19 and whether such treatment is the correct therapeutic choice. Each case requires individual assessment to determine whether the positives outweigh the negatives, especially in the light of populational studies concerning the genetic differentiation of genes encoding the solute carriers responsible forVC adsorption. Few data are available on the influence of VC on the course of SARS-CoV-2 infection. Deducing from already-published data, high-dose intravenous vitamin C (HDIVC) does not significantly lower the mortality or length of hospitalization. However, some data prove, among other things, its impact on the serum levels of inflammatory markers. Finally, the non-positive effect of VC administration is mainly neutral, but the negative effect is that it can result in urinary stones or nephropathies.
Student’s Psychological Safety in Distance Education During COVID-19: Pros and Cons

This article discusses the distance learning problem in connection with COVID-19 limitations and isolation duration from the point of view of students’ psychological safety. This article analyzes the main psychological characteristics of distance learning technologies and their implementation during the pandemic. Distance education's positive and negative aspects in specific conditions are highlighted in detail. This study was conducted among 200 participants using a request for mental and physical change in online education conditions and their impact on feelings of psychological safety. The participants were divided into two comparative groups, considering the conditions of online education provision. The first group included 83 respondents who were provided with fully-fledged conditions, while the second group included 117 respondents with less secured conditions. In the context of the COVID-19 pandemic, one of the security constraints was fatigue in front of the computer for a long time, while the others were boredom and some discomfort due to adaptation to the new standard of education for both the teachers and students. Online education provides an opportunity to save time and money by teaching in the same environment, which also ensures the stability of the activity.
Synchronous reluctance six‐phase motor proved based EV powertrain as charger/discharger with redundant topology and ORS control

A six-phase synchronous reluctance machine (SynRM) is designed for electrical vehicle (EV) powertrain applications. The SynRM in the charger mode is able to provide instantaneous power and high power density, high efficiency with two modes of charge, robust reliability, high safety and fault tolerance. The properties of the SynRM are 60 kW, 9000 rpm and 400 N m. The main objective of the SynRM powertrain used as a charger is proved electrically, thermically and to be fault tolerant using a specific test bench. The winding motor topology is galvanic isolated, making it possible to load directly from the single-phase and three-phase grid, enabling two ways of charging, which increases the reliability. For this reason, the back-to-back full-converter and the SynRM as a charger are used. The main goal is to prove the utility as a charger and the great efficiency derived from the SynRM plus inverter topology for electric cars. This SynRM + inverter topology offers redundancy for all load modes.
Circulation Control and its Application to Stopped Rotor Aircraft

Summary The problems associated with the design of a stopped rotor aircraft are summarised. The decision to attempt to overcome the aerodynamic difficulties by the choice of a rotor blade section which is basically insensitive to atmospheric gusts dictates a largely circular cross section. During the rotor lifting phases of the flight the circular section is constrained to lift by a technique called circulation control by blowing — this technique is described and some results presented. A scale model hingeless rotor has been tested at the National Gas Turbine Establishment. Typical performance figures are presented and their implications discussed. In particular, it is shown that operating rotors at high values of thrust coefficient per blade leads to high induced power factors. Cyclic control of rotor lift is achieved by hub throttling the air to the circulation control slots —a simple mechanism to achieve this result is described. Two possible schemes for a VTOL circulation control stopped rotor transport are discussed and compared.
Effects of an Inaccurate Sorting Procedure on Optimal Procurement and Production Decisions in a Remanufacturing System

Abstract Under the uncertainty of market demand and quality of returns, sorting prior to disassembly is effective for timely obtaining information about the remanufacturability of used products. In this article, we assume that the remanufacturable fraction of used products is a random variable and introduce an inaccurate sorting procedure of used products prior to disassembly. Then, three two-stage optimization models are formulated to maximize the expected profits of a remanufacturer in a single period with used products and/or new parts as inputs to meet the stochastic market demand. Moreover, the article provides a case study to explore the optimal decisions under different scenarios and analyzes the effects of parameters, such as the unit disassembly cost, unit sorting cost, and proportion of sorting errors. Finally, the results indicate that whether remanufacturing with sorting is more profitable than that without sorting mainly depends on the sorting accuracy and the relative value between disassembly cost and sorting cost. When considering or not considering a long lead time of new parts, the effects of sorting errors on procurement policies are different. A long lead time will result in lower expected profits. Finally, the diverse types of classification errors have different influences on procurement policies and corresponding expected profit.
Impact of the abandonment of assistive technologies for mobility on the incidence of serious falls in older adults living at home: Results of the ECOCAT study

Purpose To examine the impact of discontinuing the use of assistive technology for mobility (ATM) devices on the 6-months incidence of falls in older adults (OA) living at home. Materials and methods A medico-socioeconomic survey was performed to collect information on the quality of life and well-being of older adults, before and 6 months after being loaned an ATM device. Personal data (medical, social, and economic) were collected via a geriatric survey. Results In all, 102 OA participated in the study. Over the 6-months observation period, 17 (n = 81) serious falls were recorded among participants who were using their ATM device optimally; in those who discontinued device use, 12 falls (n = 21) were recorded (57.1%; p = 0.001). Factors significantly associated with falls at home were living in an urban area (odds ratio [OR]: 11.46; 95% confidence interval [CI]: 1.48; 88.98; p = 0.020), an Instrumental Activities of Daily Living Scale score > 4 (OR: 34.04; 95% CI: 1.59; 727.86; p = 0.024), and discontinuation of ATM device use (OR: 17.41; 95% CI: 2.59; 117.02; p = 0.003). Conclusion Discontinuation of ATM device use was associated with an increased risk for serious falls.