Miracle-dz/UniFAR-FTUs huggingface dataset:
Characterization of Human Thioredoxin-like 2 A NOVEL MICROTUBULE-BINDING THIOREDOXIN EXPRESSED PREDOMINANTLY IN THE CILIA OF LUNG AIRWAY EPITHELIUM AND SPERMATID MANCHETTE AND AXONEME*□S

From the ‡Center for Biotechnology, the §Center for Structural Biology, Protein Analysis Unit, Department of Biosciences at NOVUM, and the ¶Department of Medical Nutrition, Karolinska Institutet, Huddinge S-14157, Sweden, the Department of Anatomy and Cell Biology, McGill University, Montreal, Quebec H3A 2B2, Canada, the **Department of Anatomy and Cell Biology, Queen’s University, Kingston, Ontario K7L 3N6, Canada, and the ‡‡Department of Biochemistry and Molecular Biology, University of Calgary, Calgary, Alberta T2N 4N1, Canada
Laboratory Diagnosis of Renal Disorders: Automated Urine Sediment Analyzer Compared with Manual Methods

Background: Urinalysis is one of the earliest methods used to screen and detect patients with kidney diseases. It also helps to monitor and assess the severity of the disease process in already diagnosed patients. Microscopy plays a vital role in routine urinalysis and gives more information when analyzed together with chemical strip tests. Introduction of automation of the conventional methods of urinalysis has reduced the disadvantages of manual methods in terms of accuracy of results and turnaround time. Method: Aim of the present study is to evaluate the performance of an automatic urinalysis system – FUS-100 (which in cooperates an automatic urine chemistry analyzer H-800) manufactured by Dirui Industrial Co. Ltd., China in patients with renal diseases and compare the results of microscopy with manual microscopic analysis. In addition, our study aims to find out the possibility of safely reducing the number of manual microscopy analyses by cross-interpretation of the results generated by FUS-100 automated urine particle analyzer with manual methods. The urine sediments of five hundred urine samples were examined by these two methods. Result: Automation of urine analysis decreases the turnaround time and is less labour intensive leading to better accuracy and precision. Conclusion: Preanalytical errors related to centrifugation and sediment preparation are prevented in automation. Our study tends to suggest that automation of urine microscopy therefore is a more standardized procedure and makes urine microscopy a more objective investigation.
University of Birmingham Great expectations:

This paper reports findings from an evaluation of a national continuing professional 2 development (CPD) programme for teachers in England. Data showed that the 3 localized implementation, opportunities for interactive learning, and ‘collective 4 participation’ were positive factors. Research participants reported difficulties, however, in ‘cascading’ knowledge to colleagues and in sustaining and developing their learning. It is argued that these limitations were rooted in an inconsistent theory 7 of learning that underpinned the programme and a failure to conceptualize teachers as 8 ‘lead learners’ in schools. Wider implications for the design of teachers’ professional 9 development are considered.
Bispectral commuting difference operators for multivariable Askey-Wilson polynomials

We construct a commutative algebra A z , generated by d algebraically independent q-difference operators acting on variables z 1 , z 2 ,. , z d , which is diagonalized by the multivariable Askey-Wilson polynomials P n (z) considered by Gasper and Rahman (2005). Iterating Sears' 4φ3 transformation formula, we show that the polynomials P n (z) possess a certain duality between z and n. Analytic continuation allows us to obtain another commutative algebra A n , generated by d algebraically independent difference operators acting on the discrete variables n 1 , n 2 ,. , n d , which is also diagonalized by P n (z). This leads to a multivariable q-Askey-scheme of bispectral orthogonal polynomials which parallels the theory of symmetric functions.
Discrete-time classical and quantum Markovian evolutions: Maximum entropy problems on path space

The theory of Schrodinger bridges for diffusion processes is extended to classical and quantum discrete-time Markovian evolutions. The solution of the path-space maximum entropy problems is obtained from the a priori model in both cases via a suitable multiplicative functional transformation. In the quantum case, nonequilibrium time reversal of quantum channels is discussed and space-time harmonic processes are introduced.
GENETIC VARIABILITY, HERITABILITY AND GENETIC ADVANCE STUDIES IN NEWLY DEVELOPED MAIZE GENOTYPES ( Y DEVELOPED MAIZE GENOTYPES (ZEA MAYS L.)

Maize (Zea mays L.) is an important cereal crop belonging to family, Poaceae. It is cultivated over a wide range of climatic conditions; considered as a promising option for diversifying agriculture in various agro-climatic zones and ranks as third most important food crops in India. Being a major food, feed and fodder crop it contributes to food security in most of the developing countries. Maize production in India is 24.35 mt with area 8.49 mha and yield of 2408 kg/ha (Agricultural statistics at a glance-2014).
Evaluation Of School Administrators 'Views On The Use Of Technology In Education: A Content Analysis

In this research, the studies of school administrators examining the thoughts about technological integrations in the field of education and training; how it is distributed according to the types of research and data collection tools used according to the number of institutions and their distribution. The main purpose of the study is to examine school administrators' views on the use of technology in education through different variables. The content studies of the school administrators conducted in our country, published between 2008 and 2020 on the use of technology in education were examined. The data were obtained from studies in which school administrators had opinions on technology. These studies 39% of these studies are quantitative, 35% qualitative and 26% are mixed-method studies. In accordance with the data obtained, distributions for different variables are categorized. This current study was designed with content analysis research pattern from qualitative research approaches and according to the findings of the study, it was classified according to teachers' technology-oriented analysis in education, the subjects and year of the articles. According to the index it was scanned, the tags were created in excel tables and their characteristics such as article type, method, data collection tools, data analysis were determined and classified as graphics and tables. Analysis of graphics and tables, comparison and interpretation of the results were made.
Benefits of the Ground PEEC Modeling Approach—Example of a Residential Building Struck by Lightning

This article aims to prove the effectiveness of the partial element equivalent circuit (PEEC) method adapted to the modeling of meshless earth whose formulations have been explained in our first theoretical article. This publication is the second part of the paper by Clavel et al. (2018) [E. Clavel, J. Roudet, J.-M. Guichon, Z. Gouichiche, P. Joyeux, and A. Derbey, “A nonmeshing approach for modeling grounding,” IEEE Trans. EMC, vol. 60, no. 3, pp. 795–802, Jun. 2018]. Its robustness is emphasized on the simulation of a complex system. The chosen example is to calculate the response of a residential building struck by a lightning wave including models for all components of the distribution network. This method would allow a precise and rapid sizing of the earth protections of buildings. Today this is achieved using empirical approach or meshing methods which can be heavy and costly in terms of time solving and memory storage. An integral method based on an analytical resolution of the Poisson equation in the case of current injection has made it possible to obtain excellent results in terms of precision with a great simulation speed compared to conventional methods such as finite elements. A sensitivity analysis can be undertaken through the variation of physical parameters of the earth systems in order to design them better. This method is obviously suitable for taking into account other electromagnetic disturbances such as power electronics.
New Trends and Issues Proceedings on Humanities and Social Sciences

Two key elements of educational innovation in evaluation are student participation and transparency. In both cases, rubrics are a powerful resource promoting a transparent and fair evaluation. However, there is still not enough evidence on the levels of student participation in the assessment process. The objective of this study is to ascertain the level of transparency provided by the use of scoring rubrics in university subjects by analysing the relevant factors that are involved in a more significant and participatory evaluation of learning processes. This research is approached from a qualitative perspective through content analysis of in-depth interviews conducted with higher education institutions in Mexico (n = 22). The results and conclusions show the importance of promoting more transparent evaluative practices in order to acquire true formative evaluation.
The metatheory of first-order logic: a contribution to a defence of Principia Mathematica

This paper presents an account of the first-order logic of Principia Mathematica and preliminary evidence that the system is superior to currently accepted classical rivals. A widely accepted view that Whitehead and Russell's presentation of logic in Principia is essentially defective in departing from contemporary standards is considered. It is shown that the judgement is based on a number of arguments that do not withstand critical scrutiny. For example, the common presumption that the metatheory of contemporary first-order logic may be made precise in the expected way (using a first-order set theory equivalent to NBG) is shown to be false; on pain of contradiction, there cannot exist any such domain of interpretation of NBG. An alternative view of first-order logic, derived from Principia, is then presented. It is shown that Principia avoids the problem just discussed, as the first-order fragment may be made precise under an interpretation of the full system.
Multiscale simulation analysis of passive and active micro/nanoelectrodes for CMOS-based in vitro neural sensing devices

Neuron and neural network studies are remarkably fostered by novel stimulation and recording systems, which often make use of biochips fabricated with advanced electronic technologies and, notably, micro- and nanoscale complementary metal-oxide semiconductor (CMOS). Models of the transduction mechanisms involved in the sensor and recording of the neuron activity are useful to optimize the sensing device architecture and its coupling to the readout circuits, as well as to interpret the measured data. Starting with an overview of recently published integrated active and passive micro/nanoelectrode sensing devices for in vitro studies fabricated with modern (CMOS-based) micro-nano technology, this paper presents a mixed-mode device-circuit numerical-analytical multiscale and multiphysics simulation methodology to describe the neuron-sensor coupling, suitable to derive useful design guidelines. A few representative structures and coupling conditions are analysed in more detail in terms of the most relevant electrical figures of merit including signal-to-noise ratio. This article is part of the theme issue ‘Advanced neurotechnologies: translating innovation for health and well-being’.
Spatio-temporal feature extraction in sensory electroneurographic signals

The recording and analysis of peripheral neural signal can provide insight for various prosthetic and bioelectronics medicine applications. However, there are few studies that investigate how informative features can be extracted from population activity electroneurographic (ENG) signals. In this study, five feature extraction frameworks were implemented on sensory ENG datasets and their classification performance was compared. The datasets were collected in acute rat experiments where multi-channel nerve cuffs recorded from the sciatic nerve in response to proprioceptive stimulation of the hindlimb. A novel feature extraction framework, which incorporates spatio-temporal focus and dynamic time warping, achieved classification accuracies above 90% while keeping a low computational cost. This framework outperformed the remaining frameworks tested in this study and has improved the discrimination accuracy of the sensory signals. Thus, this study has extended the tools available to extract features from sensory population activity ENG signals. This article is part of the theme issue ‘Advanced neurotechnologies: translating innovation for health and well-being’.
Escherichia coli ST1193: Following in the Footsteps of E. coli ST131

Escherichia coli ST1193 is an emerging global multidrug (MDR) high-risk clone and an important cause of community-onset urinary and bloodstream infections. ABSTRACT Escherichia coli ST1193 is an emerging global multidrug (MDR) high-risk clone and an important cause of community-onset urinary and bloodstream infections. ST1193 is imitating E. coli ST131, the most successful MDR clone of all time. Both clones emerged in the early 1990s by acquiring quinolone resistance-determining region (QRDR) mutations, IncF plasmids, virulence factors, and type 1 pilus (fimH) recombination. They are the only MDR clones that are dominant among unselected E. coli populations. ST131 is the most frequent clone and ST1193 the second most frequent clone among fluoroquinolone/cephalosporin-resistant E. coli isolates. Both clones have played pivotal roles in the global spread of MDR E. coli. ST1193 originated from ST clonal complex 14 (STc14), is lactose nonfermenting, belongs to phylogenetic group B2, and contains the O type O75. Global ST1193 prevalence has been increasing since 2012, even replacing ST131 in certain regions. blaCTX-M genes are rapidly expanding among ST1193 isolates, a scenario that occurred with ST131 during the 2000s. A validated PCR will enable global surveys to determine the extent of ST1193 among One Health E. coli isolates. The rapid emergence of ST1193 is concerning and is adding to the public health burden of MDR E. coli clones. Basic mechanistic, evolutionary, surveillance, and clinical studies are urgently required to investigate the success of ST1193. Such information will aid with management and prevention strategies. The medical community can ill afford to ignore the spread of another global successful MDR high-risk E. coli clone, especially one that is following in the footsteps of E. coli ST131.
Tella intake among pregnant and lactating mothers: may it affect child growth?

Abstract Alcohol abuse among women is a public health importance that may impair prenatal and postnatal growth. Tella is among the most common homemade alcoholic beverages in rural Ethiopia, but little is known about the magnitude of tella intake during pregnancy and lactation or its effects on child growth. The present study investigated associations between maternal tella intake and the growth of their children. A cross-sectional mixed-methods study was conducted with mothers (n 228) and their 12–36-month-old children and with key informants (n 12). Tella intake during most recent pregnancy and lactation was estimated retrospectively by glasses per drinking event and frequency of events. Nearly 80 % of mothers had consumed some amount of tella during their most recent pregnancy and lactation. Furthermore, 72 % of children had tasted or drunk tella at some time during their life. Stunting was 42 % and was significantly associated with maternal tella consumption at least every other day during pregnancy (adjusted odds ratio (AOR) 4⋅97, 95 % confidence interval (CI) 2⋅20, 11⋅25), male sex (AOR 2⋅31, 95 % CI 1⋅27, 4⋅19), two or more under-5-year-old children in the household (AOR 3⋅52, 95 % CI 1⋅49, 8⋅33) and family size >5 (AOR 1⋅84, 95 % CI 1⋅01, 3⋅36). Underweight was 24⋅6 % and was associated with the child drinking tella with their mother (AOR 4⋅23, 95 % CI 1⋅99, 8⋅97), being male (AOR 3⋅73, 95 % CI 1⋅73, 7⋅94), having ≥3 diarrhoeal episodes in the last 3 months (AOR 11⋅83, 95 % CI 4⋅22, 33⋅14) and being in the older age group (AOR 2⋅98, 95 % CI 1⋅09, 8⋅13). The associations between tella intake and child growth suggest the need to mitigate the effects of tella on child anthropometry.
A secondary modulation mechanism for aerofoil tonal self-noise generation

Abstract Acoustic emission of a NACA 0012 aerofoil is investigated over a range of free-stream velocities. Acoustic spectra show a dominant tone and two sets of weaker side tones characterised by different frequency intervals. The frequency of the dominant tones in the acoustic spectra varies with velocity in a ladder-type structure. With increasing Reynolds number, the spectrum becomes progressively more broadband in nature. Through synchronised particle image velocimetry and acoustic measurements, the aeroacoustic noise generation mechanisms, resulting in different spectral characteristics and modulation types, are further investigated. A separation bubble and related significant velocity fluctuations are observed on the pressure side. Pressure side velocity spectra show characteristics similar to the acoustic ones, whereas velocity spectra on the suction side feature broadband characteristics. These findings confirm that noise emission is dominated by pressure side events for the Reynolds number range of this study, i.e. $2 \times 10^{5}$–$7 \times 10^{5}$. As the acoustic emission is defined by coherent flow structures, the proper orthogonal decomposition method is adopted to facilitate the understanding of the relation between the complex flow field and acoustic emission. Side tones in the acoustic spectra are attributed to two different modulation mechanisms in the aeroacoustic source region near the trailing edge. By aligning the sound pressure time history and the time coefficients of the dominant modes, the primary modulation of the dominant tone is found to be related to the amplitude modulation of the high-frequency velocity fluctuations associated with the acoustic feedback loop. A secondary modulation is attributed to periodic variation of the separation bubble and, therefore, variation in the roll-up of the shear layer, which results in a modulation of the amplitude of the velocity fluctuations associated with the convecting vortices at the trailing edge.
The job sequencing and tool switching problem: state-of-the-art literature review, classification, and trends

The job sequencing and tool switching problem is a combinatorial optimisation problem that appears in various industries, mainly in the manufacturing sector. Although tool switching is only part of a much larger decision-making process in manufacturing systems, it has a major impact on the overall performance of the system by affecting the total set-up time as well as the machine and tool utilisation. Over the past few decades, various approaches have been applied to tool switching problems. This study provides a comprehensive review of the literature on the job sequencing and tool switching problem. Studies are identified and compared through a structured literature review and classified according to a new framework which allows the identification of problem perspectives and solution methods. The results show that current research does not fully exploit real-world situations and studies are often limited to a single-machine and uniform tool size and set-up time. Finally, this literature review summarises the current research results and provides directions for future research.
Predicted Vancomycin Dosage Requirement in Patients With Hematological Malignancies and Dosage Dynamic Adjustment

Purpose: The purpose of this study was 1) to predict the requisite vancomycin daily dose (D van ) used in the target patients suffering from both bacterial infection and hematological malignancies and 2) to construct a vancomycin-dose-graphical tool to assist clinicians to develop vancomycin dosing regimens and further 3) to establish a programming process for vancomycin dynamic dosage adjustment to help clinicians to adjust vancomycin dosing regimens according to physiological and pathogenic factors of the target patients. Methods: The D van model associated with microbial susceptibility, vancomycin pharmacokinetics, and dosing parameters was established, and the D van was estimated based on the established D van model and using Monte Carlo simulations. D van achieving 90% of probability of target attainment (PTA) for bacterial isolate or cumulative fractions of response (CFR) for the bacterial population at a ratio of daily area under the curve (AUC24) to the minimum inhibitory concentration (MIC) [i.e., AUC24/MIC] of 400–600 was considered sufficient to treat infection occurring in the target patients. On the basis of the predicted D van , the physiological states of patients, and the pathogenic variables of infection, a vancomycin-dose-graphical tool for the target patients and a programming process for vancomycin dynamic dosage adjustment were constructed. Results: This study predicted the requisite D van used in patients suffering from both bacterial infection and hematological malignancies and constructed a vancomycin-dose-graphical tool for the target patients, at different physiological states and pathogenic variables, to formulate vancomycin dosing regimens. Also, this study established and expounded the formulation process of vancomycin dosage dynamic adjustment according to fluctuant renal function of the target patients. Conclusion: With the tools, the required D van or vancomycin dosing regimens for the target patients, at different physiological states and pathogenic variables, can be readily known, whether or not vancomycin dynamic dosage adjustment is required.
Differential Association of Wheat and Rice Consumption With Overweight/Obesity in Chinese Adults: China Health and Nutrition Survey 1991–2015

Wheat and rice are the main staple foods in China and likely have a major influence on health. This analysis examined the potential association between wheat and rice consumption and the risk of overweight/obesity in Chinese adults. We used data collected in the China Health and Nutrition Survey (CHNS) from 1991 to 2015. Adults aged 18–80 years old (n = 11,503) were included in the present analysis, for whom questionnaires and anthropometric data were collected during at least two waves. We constructed three-level mixed-effect linear regression models to estimate body mass index (BMI) in relation to wheat and rice intakes and performed three-level mixed-effect logistic regression models to assess the risk of overweight/obesity. Women showed significant BMI increases of 0.14 (95% CI: 0.04, 0.24) from a higher intake of wheat but not from a higher intake of rice when adjusted for all potential confounders. Comparing the highest quartiles of intake of wheat with non-consumers in men and women, odds ratios (ORs; 95% CI) of overweight/obesity were 1.45 (1.15, 1.85) and 1.26 (1.00, 1.60), respectively. In men, there was an inverse association with the risk of overweight/obesity in the comparison of the highest quartiles of intake of rice (OR: 0.73; 95% CI: 0.55, 0.96) and non-consumers when adjusted for all potential confounders. Higher intake of wheat was positively associated with the risk of overweight/obesity among Chinese adults. Further, there was an inverse association between rice intake with overweight/obesity in Chinese men but not in women.