Miracle-dz/UniFAR-FTUs huggingface dataset:
Effect of Baking Temperature on Quality and Safety of School Meal Biscuits

School meal programs have an important role in improving children’s nutrition. Baking school meal biscuits takes place at a high temperature, which induces physicochemical changes in the biscuits’ matrix with the emergence of heat-induced contaminants such as acrylamide and trans-fats. The present study aimed to investigate the effect of different baking temperatures for different times on the quality and safety of school meal biscuits and their lipid fraction. Biscuits were baked at 180, 200, and 220℃ for 10, 15, and 20 min Proximate composition, physicochemical, acrylamide, heavy metals, preservatives, minerals, vitamins, texture profile analysis, color index, nutrition facts, and sensory evaluation were determined. Significant differences (P < 0.05) were detected in proximate composition, quality parameters, texture, color, and sensory attributes. All samples showed trans-fatty acid levels below the limit assigned by the Commission Regulation (EU) 2019/649. Biscuits baked at 220℃ showed acrylamide exceeding the benchmark level set by the Commission Regulation (EU) 2017/2158. Baking biscuits at 180℃ had considerable moisture with low consumer acceptance. Biscuits baked at 200℃ for 20 min were the best in both processing temperature and time with the best quality attributes, safety, and consumer acceptance.
Strategies to Improve Long-Term Outcomes for Patients with Chronic Kidney Disease in China

Background: Chronic kidney disease (CKD) is an incurable disease requiring lifelong management. China has a high prevalence of CKD, which disproportionately affects older adults and those with chronic risk factors for CKD development. The rising prevalence of CKD in China places a substantial burden on the general population and the healthcare system. Summary: In China, there are currently many unmet needs for patients with CKD and high-risk individuals, resulting from a lack of education and support to reduce risk factors, delayed diagnoses, limited knowledge of CKD among primary-care physicians, and poor access to treatments among some patient populations. An integrated, nationwide approach is required to improve the current situation of CKD management in China. There are currently several national healthcare frameworks in place that focus on new major health policies to prevent disease and encourage people to adopt healthier lifestyles, and while they do not directly target CKD, they may have a positive indirect impact. We explore the unmet needs for patients with CKD in China and discuss the potential strategies that may be required to overcome them. Such strategies include improving physician and patient education, establishing a targeted screening programme, supporting patients to improve self-management behaviours, accelerating the creation of medical consortia and medical satellite centres, and migrating from hospital- to community-based management. In addition to policy-driven strategies, development of novel therapies will be key to providing new solutions for the long-term management of CKD. Key Messages: An integrated, nationwide approach is required, incorporating policy-driven changes to the clinical management of CKD, as well as the development of novel CKD treatments.
Comparison of Dental Surgical Guides Created by Additive Manufacturing

: The presented work deals with the analysis and testing of surgical guidance systems in the dental field, which were created based on available software. When manufacturing dental guidance systems, it is important to consider factors such as the digitization process in the production process, design, selection of the most suitable material and method of implantation. Three types of surgical guidance systems were made by three different devices which work on the principle of additive technology and were closely analysed. Subsequently, the created surgical guidance systems were compared with Standard Triangle Language (STL) files in Gom Inspect software, to determine the accuracy of printed objects. In conclusion, it is important to note that the presented work is a pilot study, which is focused on the design of a methodology to produce surgical guides using 3D printing, taking into account shape accuracy.
QUALITY OF WORK LIFE AND EMPLOYEE WORK OUTCOMES: A HIERARCHICAL MODEL WITH MEDIATION ANALYSIS

The paper investigates how the quality of work life (QWL), presented in a hierarchical model, influences employee work outcomes (job performance and retention intention). The paper also examines if job satisfaction mediates the above relationship. Drawing on the social exchange theory, the paper examines these two research questions using 365 employees from Bangladesh's ready-made garment (RMG) industry. The findings show that QWL is positively associated with job satisfaction, retention intention, and in-role performance. Job satisfaction has a significant positive effect on the outcome variables as well. Furthermore, job satisfaction mediates QWL and employee work outcomes relationship. The hierarchical model of QWL and its impact on employee outcomes through the mediating role of job satisfaction continues to lag. As such, the paper provides practical insights for organizations looking to improve employee satisfaction, performance, and retention through QWL. These findings have implications for research on positive relationships at work. The study has a few limitations that may provide opportunities for future research.
Role Dynamic Assignment of Human–Robot Collaboration Based on Target Prediction and Fuzzy Inference

Aiming to solve the problem of role dynamic assignment in human–robot collaborative motion with unknown and changeable targets, a role dynamic assignment method based on target prediction and fuzzy inference is proposed. First, a human–robot collaborative motion framework based on role dynamic assignment is constructed. Then, based on the analysis of the human–robot collaborative motion with fixed role (HMFR), a human–robot collaborative motion target prediction module, a role dynamic assignment module, and a robot motion planning module are designed to realize the role dynamic assignment and motion planning of the robot. Finally, human–robot collaborative motion experiments based on role dynamic assignment are performed. Experimental results show that the proposed role dynamic assignment algorithm can effectively implement role dynamic assignments. Compared with the human–robot collaborative motion with fixed roles, the human–robot collaborative motion based on role dynamic assignment has better overall performance in terms of actual path and desired path similarity (Fréchet distance) and participant workload.
BANDWIDTH EXPANSION OF NARROW BAND SPEECH USING LINEAR PREDICTION

This paper presents a signal processing algorithm that converts telephone quality speech, i.e. narrow band speech with a frequency range of about 0.3 - 3.4 kHz, into 8.0 kHz wide band speech. The source-ﬁlter model is used and linear prediction analysis is applied to decompose the signal into an spectral envelope part and an excitation part. By means of vector quantization and modulation techniques the wide band envelopes and excitation signals are reconstructed. The algorithm for wide band expansion proved to work, though certain unwanted artefacts were introduced in the reconstructed signal. Listening tests conﬁrmed the presence of these unwanted artefacts. The tests showed that the narrow band signal was prefered over the wide band signal in 79% of the cases. Therefore the presented wide band expansion will require further improvements to be acceptable for implementation in current telephone systems.
Study of a four-rod RFQ structure at 470 MHz

It has been demonstrated that the four-rod RFQ (radio-frequency quadrupole) structure is a viable alternative to the four-vane structure. The four-rod structure is easier to construct and maintain. Also, the unwanted dipole mode is not a problem since the opposite rods are connected by the rod support structure. However, this structure has not been studied extensively for frequencies much above 200 MHz. The authors have developed a four-rod cavity design which can resonate at higher frequencies. They present their design for a 470-MHz structure and show results of computer simulation using the MAFIA codes. It was found using MAFIA that a single-gap cavity at the front end will reduce the entrance potential seen by the beam to a negligible level. <<ETX>>
Regl-Scatterplot: A Scalable Interactive JavaScript-based Scatter Plot Library

Figure 1: Examples of regl-scatterplot. The top row visualizes the Rössler attractor and demonstrates the dynamic point opacity. As one zooms in (see the white bounding box) and number of points in the view decreases, the point opacity increases. The bottom row shows four embeddings of the Fashion MNIST dataset (Xiao et al., 2017) created with PCA (Pearson, 1901), t-SNE (Maaten & Hinton, 2008), UMAP (McInnes et al., 2018), and a variational autoencoder (Kingma & Welling, 2013). The embeddings are visualized using four regl-scatterplot instances that synchronize and zoom to the selected points. For instance, upon selecting the sky blue cluster of points in the top-right instance (see the white bounding box), the same points are selected in the other instances. Also, all four instances zoom to the selected points (right side of the second row).
Comparative Genomics Analysis of Habitat Adaptation by Lactobacillus kefiranofaciens

Lactobacillus kefiranofaciens is often found in fermented dairy products. Many strains of this species have probiotic properties, contributing to the regulation of immune metabolism and intestinal flora. This species was added to the list of lactic acid bacteria that can be added to food in China, in 2020. However, research on the genomics of this species is scarce. In this study we undertook whole genome sequencing analysis of 82 strains of L. kefiranofaciens from different habitats, of which 9 strains were downloaded from the NCBI RefSeq (National Center for Biotechnology Information RefSeq). The mean genome size of the 82 strains was 2.05 ± 0.25 Mbp, and the mean DNA G + C content was 37.47 ± 0.42%. The phylogenetic evolutionary tree for the core genes showed that all strains belonged to five clades with clear aggregation in relation to the isolation habitat; this indicated that the genetic evolution of L. kefiranofaciens was correlated to the isolation habitat. Analysis of the annotation results identified differences in the functional genes, carbohydrate active enzymes (CAZy) and bacteriocins amongst different isolated strains, which were related to the environment. Isolates from kefir grains had more enzymes for cellulose metabolism and a better ability to use vegetative substrates for fermentation, which could be used in feed production. Isolates from kefir grains also had fewer kinds of bacteriocin than isolates from sour milk and koumiss; helveticin J and lanthipeptide class I were not found in the isolates from kefir grains. The genomic characteristics and evolutionary process of L. kefiranofaciens were analyzed by comparative genomics and this paper explored the differences in the functional genes amongst the strains, aiming to provide a theoretical basis for the research and development of L. kefiranofaciens.
Longitudinal relationships between social cohesion, mental health and functional disabilities in later life

ABSTRACT The objectives of this study are to (1) examine the longitudinal relationships among social cohesion, mental health, and functional disabilities and (2) identify the direct and indirect paths of social cohesion to mental health and functional disabilities. We used data from waves 1 through 8 of the National Health and Aging Trends Study. Using an autoregressive cross-lagged panel design, we examined longitudinal relationships between social cohesion, functional disabilities, and mental health among older adults (N = 2,774). The results revealed that social cohesion and mental health status were stable across eight years, while functional disabilities deteriorated over time. The cross-lagged effect between functional disabilities and mental health has been revealed. In addition, mental health mediated the link between social cohesion and functional disabilities. Since social cohesion can promote mental health and affect functional disabilities through mental health, policymakers and practitioners should continue supporting initiatives promoting social cohesion.
A Biochemical Deconstruction-Based Strategy to Assist the Characterization of Bacterial Electric Conductive Filaments

Periplasmic nanowires and electric conductive filaments made of the polymeric assembly of c-type cytochromes from Geobacter sulfurreducens bacterium are crucial for electron storage and/or extracellular electron transfer. The elucidation of the redox properties of each heme is fundamental to the understanding of the electron transfer mechanisms in these systems, which first requires the specific assignment of the heme NMR signals. The high number of hemes and the molecular weight of the nanowires dramatically decrease the spectral resolution and make this assignment extremely complex or unattainable. The nanowire cytochrome GSU1996 (~42 kDa) is composed of four domains (A to D) each containing three c-type heme groups. In this work, the individual domains (A to D), bi-domains (AB, CD) and full-length nanowire were separately produced at natural abundance. Sufficient protein expression was obtained for domains C (~11 kDa/three hemes) and D (~10 kDa/three hemes), as well as for bi-domain CD (~21 kDa/six hemes). Using 2D-NMR experiments, the assignment of the heme proton NMR signals for domains C and D was obtained and then used to guide the assignment of the corresponding signals in the hexaheme bi-domain CD. This new biochemical deconstruction-based procedure, using nanowire GSU1996 as a model, establishes a new strategy to functionally characterize large multiheme cytochromes.
A Systematic Review of Teacher Factors for Successfully Educating Students with Disabilities

ABSTRACT The purpose of this systematic literature review was to understand the scope of research investigating perceptions of teachers educating students with disabilities. We documented the factors related to teacher perceptions of preparedness for successfully educating students with disabilities as well as the extent to which these factors were role or context specific. Twenty-two empirical studies from 2004 to 2020 were included in our systematic review. Nine factors for finding success when educating students with disabilities were synthesized from the body of literature and organized into three categories: professional capacity, instructional supports, and professional needs. Findings revealed that teacher perceptions were often differentiated between general education teachers (n = 3,919) and special education teachers (n = 2,809), but regardless of teaching context, the same nine factors for teaching success were present. Implications for increasing teacher success by cultivating school climate, structuring support, and connecting professional development are shared.
ATTRIBUTE REDUCTION BY PARTITIONING THE MINIMIZED DISCERNIBILITY FUNCTION

The goal of attribute reduction is to reduce the problem size and search space for learning algorithms. The basic solution of this problem is to generate all possible min- imal attributes subsets (MASes) and choose one of them with minimal size. This can be done by constructing a kind of discernibility function (DF) from the dataset and convert- ing it to disjunctive normal form (DNF). Since this conversion is NP-hard, for attribute reduction usually heuristic algorithms are used. But these algorithms generate one or a small number of possible MASes that generally is not sufficient for optimality of dataset processing in such aspects as the simplicity of data representation and description, the speed and classication accuracy of the data mining algorithms and the required amount of memory. In this study, we propose an algorithm thatnds all MASes by iteratively partitioning the DF so that the part to be converted to DNF in each of iterations has the space complexity no higher than the square root of the worst-case space complexity of the conversion of the whole DF to DNF. The number of iterations is always fewer than the number of attributes.
A Multi-Objective Based Scheduling Framework for Effective Resource Utilization in Cloud Computing

Cloud computing is a promising platform for running massive workflow applications based on a pay-per-use model. In cloud computing, the reduction of energy consumption and providing security to workflow scheduling are the key research areas. The primary focus of the existing algorithms, viz., particle swarm optimization (PSO), crow Search optimization (CSO) and other non-metaheuristic algorithms like Round Robbin (RR), SJF, Min-Min, Min-Max etc., is based on the execution time and cost of the workflow applications as a budget constraint. However, these algorithms failed to adequately determine energy consumption, resource utilization, and security in workflow scheduling. To address this issue, a multi-objective scheduling framework is proposed. In this paper, the framework performs dynamic workflow scheduling using universal unique identification- Blake (UUID-Blake), Manhattan Distance-Partition around algorithm (MD-PAM), Linear Scaling-Crow Search Optimization (LS-CSO), Anova-Recurrent Neural Network. The implementation of this framework was achieved in three phases (Phase 1, Phase 2, and Phase 3). Phase 1 is about user registration and authentication using UUID-Blake, which enhances security by allowing legitimate users into the cloud environment. Phase 2 deals with clustering and resource monitoring using MD-PAM and A-RNN, to reduce makespan the similar tasks are clustered using task length and maximize the resource utilization by predicting the resource availability. Phase 3 deals with the scheduling of dynamic workflows using LS-CSO by selecting suitable virtual machines. We have considered the heterogeneous computing scheduling problem (HCSP) and grid workload archive (GWA)-T-12 Bitbrains datasets for comparing our proposed framework with existing works. Based on the result analysis, the proposed LS-SCO outperformed when compared with the algorithms CSO, PSO and RR has achieved better performance.
Synergistic Encapsulation of Paclitaxel and Sorafenib by Methoxy Poly(Ethylene Glycol)-b-Poly(Caprolactone) Polymeric Micelles for Ovarian Cancer Therapy

Ovarian cancer has a high mortality rate due to difficult detection at an early stage. It is necessary to develop a novel anticancer treatment that demonstrates improved efficacy while reducing toxicity. Here, using the freeze-drying method, micelles encapsulating paclitaxel (PTX) and sorafenib (SRF) with various polymers were prepared, and the optimal polymer (mPEG-b-PCL) was selected by measuring drug loading (%), encapsulation efficiency (%), particle size, polydispersity index, and zeta potential. The final formulation was selected based on a molar ratio (PTX:SRF = 1:2.3) with synergistic effects on two ovarian cancer cell lines (SKOV3-red-fluc, HeyA8). In the in vitro release assay, PTX/SRF micelles showed a slower release than PTX and SRF single micelles. In pharmacokinetic evaluation, PTX/SRF micelles showed improved bioavailability compared to PTX/SRF solution. In in vivo toxicity assays, no significant differences were observed in body weight between the micellar formulation and the control group. The anticancer effect of PTX/SRF combination therapy was improved compared to the use of a single drug. In the xenografted BALB/c mouse model, the tumor growth inhibition rate of PTX/SRF micelles was 90.44%. Accordingly, PTX/SRF micelles showed improved anticancer effects compared to single-drug therapy in ovarian cancer (SKOV3-red-fluc).
Reversible EZW-based image compression using best-transform selection and selective partial embedding

A best-transform selection method and a selective partial embedding technique are proposed for use in a reversible embedded image compression system based on the embedded zerotree wavelet (EZW) coding scheme. Together, these approaches are shown to yield significantly better compression performance than a baseline system employing fully embedded EZW coding in conjunction with a single fixed transform, such as the S+P transform.
Hyperspectral image visualization using t-distributed stochastic neighbor embedding

Hyperspectral image visualization reduces high-dimensional spectral bands to three color channels, which are sought in order to explain well the nonlinear data characteristics that are hidden in the high-dimensional spectral bands. Despite the surge in the linear visualization techniques, the development of nonlinear visualization has been limited. The paper presents a new technique for visualization of hyperspectral image using t-distributed stochastic neighbor embedding, called VHI-tSNE, which learns a nonlinear mapping between the high-dimensional spectral space and the three-dimensional color space. VHI-tSNE transforms hyperspectral data into bilateral probability similarities, and employs a heavy-tailed distribution in three-dimensional color space to alleviate the crowding problem and optimization problem in SNE technique. We evaluate the performance of VHI-tSNE in experiments on several hyperspectral imageries, in which we compare it to the performance of other state-of-art techniques. The results of experiments demonstrated the strength of the proposed technique.
Densité et dimension

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XXV.—On Bernoulli's Numerical Solution of Algebraic Equations

The aim of the present paper is to extend Daniel Bernoulli's method of approximating to the numerically greatest root of an algebraic equation. On the basis of the extension here given it now becomes possible to make Bernoulli's method a means of evaluating not merely the greatest root, but all the roots of an equation, whether real, complex, or repeated, by an arithmetical process well adapted to mechanical computation, and without any preliminary determination of the nature or position of the roots. In particular, the evaluation of complex roots is extremely simple, whatever the number of pairs of such roots. There is also a way of deriving from a sequence of approximations to a root successive sequences of ever-increasing rapidity of convergence.