Miracle-dz/UniFAR-FTUs huggingface dataset:
LC-ESI-QTOF-MS/MS Characterization of Phenolic Compounds in Common Commercial Mushrooms and Their Potential Antioxidant Activities

Mushrooms have a long history of use as food and medicine. They are rich in various nutrients and bioactive compounds, particularly phenolic compounds. In this study, ten mushroom species were selected, and solvent extraction using 80% ethanol was used to extract phenolic compounds. Total phenolic content (TPC), total flavonoid content (TFC) and total condensed tannin content (TCT) were measured to evaluate phenolic content in different mushroom varieties. In the mushroom varieties tested, brown portobello mushroom had the highest TPC (396.78 ± 3.12 µg GAE/g), white cup mushroom exhibited the highest TFC (275.17 ± 9.40 μg CE/g), and shiitake mushroom presented the highest TCT (13.80 ± 0.21 µg QE/g). Antioxidant capacity was evaluated using 2,2-diphenyl-1-picrylhydrazyl (DPPH), ferric reducing antioxidant power (FRAP), 2,2′-azino-bis-3ethylbenzothiazoline-6-sulfonic acid (ABTS) and total antioxidant capacity (TAC) assays. The highest DPPH free radical scavenging ability was found in white cup mushroom (730.14 ± 55.06 µg AAE/g), while the greatest iron-reducing ability (FRAP) was recorded for shiitake mushroom (165.32 ± 10.21 μg AAE/g). Additionally, Swiss brown mushroom showed the highest ABTS antioxidant capacity (321.31 ± 5.7 μg AAE/g), and the maximum TAC value was found in shiitake mushroom (24.52 ± 1.2 μg AAE/g). These results highlight that most of the mushroom varieties studied showed high phenolic contents and demonstrated strong antioxidant activity, with shiitake mushrooms standing out due to their high TCT and FRAP values, and the highest TAC value among the varieties studied. In addition, LC-ESI-QTOF-MS/MS was used to characterize the mushroom samples, and tentatively identified a total of 22 phenolic compounds, including 11 flavonoids, 4 lignans, 3 phenolic acids, 2 stilbenes and 2 other phenolic compounds in all mushroom samples. The research results of this study showed that mushrooms are a good source of phenolic compounds with strong antioxidant potential. The results can provide a scientific basis for the development of mushroom extracts in functional food, health products, and other industries.
DETERMINANTS OF SAVING AMONG RURAL HOUSEHOLDS IN ETHIOPIA: THE CASE OF WOLAITA AND DAWRO ZONE, SNNPR.

Temam Gebu Duressa 1 and Feleke Solomon Ejara 2 . 1. Wolaita Sodo University, College of Business and Economics, Department of Public Administration and Development Management, Wolaita Sodo and Postcode, 138, Ethiopia. 2. Wolaita Sodo University, College of Business and Economics, Department of Public Administration and Development Management, Wolaita Sodo and Postcode, 138, Ethiopia. Manuscript Info Abstract . Manuscript History
Rogue waves of the nonlocal Davey–Stewartson I equation

Recently, Fokas presented a nonlocal Davey–Stewartson I (DSI) equation (Fokas 2016 Nonlinearity 29 319–24), which is a two-spatial dimensional analogue of the nonlocal nonlinear Schrödinger (NLS) equation (Ablowitz and Musslimani 2013 Phys. Rev. Lett. 110 064105), involving a self-induced parity-time-symmetric potential. For this equation, high-order periodic line waves and line breathers are derived by employing the bilinear method. The long wave limit of these periodic solutions yields two kinds of fundamental rogue waves, namely, kink-shaped and W-shaped line rogue waves. The interaction of fundamental line rogue waves generate higher-order rogue waves, which have several interesting patterns with different curvy profiles. Furthermore, semi-rational solutions are constructed, which are line rogue waves on a background of periodic line waves. Finally, two particular solutions of the nonlocal NLS equation, namely, a first-order rogue wave and a semi-rational solution are obtained as reductions of the corresponding solutions of the nonlocal DSI equation.
Regression models for estimating chick hatchling weight from some egg geometry traits

: The prediction of chicks’ weight before hatching is an important element of selection, aimed at improving the uniformity rate and productivity of birds. With this regards, our goal was to develop and evaluate optimum models for similar prediction in two White Plymouth Rock chickens lines – line L and line K on the basis of the incubation egg weight and egg geometry characteristics – egg maximum breadth ( B ), egg length ( L ), geometric mean diameter ( Dg ), egg volume ( V ), egg surface area ( S ). A total of 280 eggs (140 from each line) laid by 40-week-old hens were randomly selected. Mean arithmetic values, standard deviations and coefficients of variation of studied parameters were determined for each line. Correlation coefficients between the weight of hatchlings and predictors were the highest for egg weight, geometric mean diameter, volume and surface area of eggs (r=0.731-0.779 for line L; r=0.802-0.819 for line К). Nine linear regression models were developed and their accuracy evaluated. The regression equations of hatchlings’ weight vs egg length had the lowest coefficient of determination (0.175 for line K and 0.291 for line L), but when egg length and breadth entered the model together, its value increased significantly up to 0.541 and 0.665 for lines L and K, respectively. The weight of day-old chicks from line L could be predicted with higher accuracy with a model involving egg surface area apart egg weight ( ChW =0.513 EW +0.282 S - 10.345; R 2 =0.620). In line К a more accurate prognosis was attained by adding egg breadth as an additional predictor to the weight in the model ( ChW =0.587 EW +0.566 В -19.853; R 2 =0.692). The study demonstrated that multiple linear regression models were more precise that single linear models.
Local intrinsic stationarity and its inference

Dense spatial data are commonplace nowadays, and they provide the impetus for addressing nonstationarity in a general way. This paper extends the notion of intrinsic random function by allowing the stationary component of the covariance to vary with spatial location. A nonparametric estimation procedure based on gridded data is introduced for the case where the covariance function is regularly varying at any location. An asymptotic theory is developed for the procedure on a fixed domain by letting the grid size tend to zero.
High-order implicit time-marching methods for unsteady fluid flow simulation

HIGH-ORDER IMPLICIT NUMERICAL METHODS FOR UNSTEADY FLUID FLOW SIMULATION Pieter D. Boom <pieter.boom@mail.utoronto. ca> Doctor of Philosophy Graduate Department of Aerospace Science and Engineering University of Toronto 2015 Unsteady computational fluid dynamics (CFD) is increasingly becoming a critical tool in the development of emerging technologies and modern aircraft. In spite of rapid mathematical and technological advancement, these simulations remain computationally intensive and time consuming. More efficient temporal integration will promote a wider use of unsteady analysis and extend its range of applicability. This thesis presents an investigation of efficient high-order implicit time-marching methods for application in unsteady compressible CFD. A generalisation of time-marching methods based on summation-by-parts (SBP) operators is described which reduces the number of stages required to obtain a prescribed order of accuracy, thus improving their efficiency. The classical accuracy and stability theory is formally extended for these generalised SBP (GSBP) methods, including superconvergence and nonlinear stability. Dual-consistent SBP and GSBP time-marching methods are shown to form a subclass of implicit Runge-Kutta methods, which enables extensions of nonlinear accuracy and stability results. A novel family of fully-implicit GSBP Runge-Kutta schemes based on Gauss quadrature are derived which are both algebraically stable and L-stable with order 2s− 1, where s is the number of stages. In addition, a numerical tool is developed for the construction and optimisation of general linear time-marching methods. The tool is applied to the development of several low-stageorder L-stable diagonally-implicit methods, including a diagonally-implicit GSBP RungeKutta scheme. The most notable and efficient method developed is a six-stage fifth-order Lstable stiffly-accurate explicit-first-stage singly-diagonally-implicit Runge-Kutta (ESDIRK5)
Phytoseiid mites (Acari: Mesostigmata) from Central West Morocco: new records and key to females of all recorded Moroccan species

Several phytoseiid species are excellent biological control agents for suppressing mite pest populations in many crops and preventing yield losses. This paper aims to improve the knowledge of Phytoseiidae diversity in citrus orchards and argan forest in central western Morocco. The surveys were conducted between April and October during three successive years (2017–2019), in nine conventional citrus orchards covering an area of more than 3,000 hectares and on uncultivated plants in argan forest at an altitude ranging from 150 to 700 meters. Twenty-nine species belonging to 15 genera were found, seven of them being new for the Moroccan fauna: Amblyseius largoensis, A. swirskii, Amblyseiella setosa, Euseius batus, E. dossei, Paragigagnathus molestus, and Cydnoseius negevi. Species of nine genera were found on citrus leaves: Neoseiulus, Amblyseius, Amblyseiella, Transeius, Phytoseiulus, Euseius, Phytoseius, Typhlodromus, and Paraseiulus. Stah AlMadina (24.8%), Ouled Abdellah (15.9%), Nour (14.3%) domains contained a high number (more than 60.2%) of individuals in the collected samples. Malva parviflora, Convolvulus althaeoides, Solanum nigrum, Bryonia dioica, Withania somnifera would be interesting companion plants to be associated in the inter-rows in citrus orchards in this region to ensure sustainability, because they host high densities and diversities of Phytoseiidae. A key of females of all recorded Moroccan species until now is provided.
New approach to improve the energy density of hybrid electret-dielectric elastomer generators

Harvesting human kinetic energy to produce electricity is an attractive alternative to batteries for applications in wearable electronic devices and smart textile. Dielectric elastomers generators (DEGs) represent one of the most promising technologies for these applications. Nevertheless, one of the main disadvantages of these structures is the need of an external polarization source to perform the energetic cycle. In the present work, a hybrid electret-dielectric elastomer generator in DEG mode is presented. In this configuration, the electret material is used as polarization source of a classical DEG, i.e. an electrostatic generator based on electrical capacitance variation. The electrical energy output in this mode (1.06mJ.g−1) could be higher than the one obtained using a classical electret mode (0.55mJ.g−1), i.e. charges recombination. In this paper, the operation principle of the hybrid generator will be fully described and the design rules for the realization of the prototype will be presented. The experimental data obtained from the prototype will be compared to the results of FEM simulations.
Accelerating the adoption of booster vaccine shots: From the psychological and behavioural perspectives

Taking booster vaccines plays a critical role to enhance the effectiveness of vaccine programs and their positive externalities to community health. This study treats the booster vaccine as a value and expands the theory of planned behaviour to examine determinants of behaviours to take that value among the public. Mixed research methods are used in this study. While qualitative data from the in-depth interviews support the identification of new themes serving the development of hypotheses and measurement scales, quantitative data from 771 respondents from all walks of life are employed to provide generalized findings. The estimation results indicate five factors that drive the intention to take the booster vaccine shots, including perceived behavioural control, subjective norms, switching costs, communication quality and health concern. More interestingly, results from another follow-up survey about their actual behaviour imply that given the existing intention, those who demonstrate good objective knowledge about booster vaccines are more likely to take the booster shot in practice. These findings draw important implications for policymakers to encourage the behaviour of taking booster vaccines.
Analysis of students with the wrong major based on the metacognitive dimension

Precisely, students with the wrong major faced several conflicts such as academics. To improve education quality, it is necessary to develop metacognitive skills because the level is still in the risk category. Therefore, this study aims to analyze (1) the percentage of students with the wrong major (2) the impact and factors that cause children to select the wrong majors (3) students' learning activities with the wrong major. The design is descriptive and quantitative with questionnaires distributed in three batches. Furthermore, the test was carried out using proportional stratified random sampling. Data were collected through questionnaires and interviews. The validity test was performed using the product moment method from Karl Person. Moreover, data were analyzed by employing factors and descriptive statistical techniques. The results showed that; First, 59% and 41% of students agree and refused they are in the wrong major. Second, the influencing factors include seeking opportunities to enter college, degree demand in the work context, parental coercion, study program profiles, and job prospects. However, the most influencing factor is seeking opportunities to enter college. Third, the wrong study program causes students to feel inferior to others. Fourth, there is a negative influence of the wrong major on metacognitive, particularly in planning development where children have difficulty managing time to achieve their goals.
Measurement of differential cross sections for the production of top quark pairs and of additional jets in 
lepton+jets
 events from 
pp
 collisions at 
s=13  TeV

Differential and double-differential cross sections for the production of top quark pairs in proton-proton collisions at root s = 13 TeV are measured as a function of kinematic variables of the top quarks and the top quark- antiquark (t (t) over bar) system. In addition, kinematic variables and multiplicities of jets associated with the t (t) over bar production are measured. This analysis is based on data collected by the CMS experiment at the LHC in 2016 corresponding to an integrated luminosity of 35.8 fb(-1). The measurements are performed in the lepton + jets decay channels with a single muon or electron and jets in the final state. The differential cross sections are presented at the particle level, within a phase space close to the experimental acceptance, and at the parton level in the full phase space. The results are compared to several standard model predictions that use different methods and approximations. The kinematic variables of the top quarks and the t (t) over bar system are reasonably described in general, though none predict all the measured distributions. In particular, the transverse momentum distribution of the top quarks is more steeply falling than predicted. The kinematic distributions and multiplicities of jets are adequately modeled by certain combinations of next-to-leading-order calculations and parton shower models.
Isolation and identification of lactic acid bacteria from traditional food sarobuong of Kuantan Singingi District, Riau, Indonesia

Abstract. Saryono, Ismawati, Pratiwi NW, Devi S, Sipayung MY, Suraya N. 2023. Isolation and identification of lactic acid bacteria from traditional food sarobuong of Kuantan Singingi District, Riau, Indonesia. Biodiversitas 24: 2201-2206. Lactic acid bacteria (LAB) are commonly used as probiotic agents in fermented processed foods like sarobuong. Sarobuong is a traditional food from Kuantan Singingi District made by fermenting bamboo shoots. In this study, the isolation and purification of LAB from sarobuang were done using MRS agar media with the streak quadrant method: macroscopic and microscopic observations and biochemical and physiological tests to identify isolates. The antibacterial ability of LAB isolates was used against pathogenic bacteria Escherichia coli and Staphylococcus aureus. The results showed that 21 isolates were gram-positive bacteria in the form of bacilli and coccus, while carbohydrate degradation was homofermentative. The results of the antibacterial test of 21 isolates indicated by LAB against E. coli and S. aureus bacteria showed a clear zone ranging from 0.1 to 0.6. The highest antibacterial activity against pathogenic bacteria E. coli was observed in isolate RB1, while for pathogenic bacteria S. aureus, it was in isolate R15. The results obtained from several isolates that have been tested showed that LAB isolated from sarobuong had relatively higher activity than the control and was identified as Lactobacillus and Streptococcus.
Approach to Implementing Health and Environmental Safety System in Construction Projects Using Fuzzy Logic

The present study's objective is the implementation of the general Health and Safety Executive(HSE) Plan in civil projects; at first, it is required to formulate the Work Breakdown Structure(WBS) in the relevant project with the aim of coming to a proper time plan. In this study, the scope of the implementation of this system includes two items in which the probability and risks of timing projects can come to light.The two substantial items in timing projects are activity and time itself which, in some projects, given the un-clarity of the scope of these two items, one is required to take into consideration the probable and approximate value of such scope with the analysis of the fuzzy expert method. And, one of the methods used for the analysis of the scope of timing probabilities is the use of the practical implications of fuzzy logic in engineering sciences; thus, in the essay at hand, the basic information required for risk assessment, fuzzy logic, the theory of fuzzy numbers, and the method used for analyzing, disintegrating, and composing them, with the purpose of applying them in projects' risk assessment, is presented.Fuzzy logic can be introduced as a powerful and flexible tool for analyzing the scope of risk of projects which is enabled to provide us with the mathematical formulation of the unclear or unspecific parameters and, eventually, represent the analysis and evaluation of data in a numerical format.
Effect of Financial Innovations on Banks’ Return on Assets and Equity: A Case of Commercial Banks in Kenya

Purpose: The study sought to investigate the effect of financial innovation on banks’ return on assets and return on equity in Commercial Banks in Kenya. The main problem was that banks have implemented financial innovations, but the influence it has on financial performance has not been exhaustively and extensively evaluated especially in the emerging LDC markets. The effect it has on Return on Assets and Return on Equity remains unclear. Methodology: This study adopted Pragmatic research philosophy. The choice of philosophy was determined by the research problem. The study was based on correlational research design. The study area was Kenya, focused on its Commercial banks. The target population comprised of all of the 42 commercial banks licensed by the Central Bank of Kenya. Purposive sampling technique was used to obtain a sample of 12 CMA / NSE listed banks. Secondary data from individual bank level, CMA and the CBK for the period 2007 to 2017 was used. The data analysis was based on fixed effect, random effect models or pooled regression of panel data analysis. Results: The findings of the study indicated that financial innovations had higher correlation with, and influence on ROA as indicated by overall R-squared of 0.5134. This means that the financial innovations under study had 51.34% influences on return on assets, holding all other factors constant. The overall R-squared for ROE was 0.2077. This means that on financial innovations studied had 20.77% influence on return on equity. Thus, there is positive and significant effect between financial innovations and Return on Assets and Return on Equity. Positive effect is an indication that if commercial banks in Kenya increased their asset and equity levels, their profitability as measured by ROA and ROE would improve. The study therefore finds the relevance of technology in improving performance of commercial banks in the country. Based on the findings, the study concluded that it is important for commercial banks in Kenya to continue investing in cost- effective technology to remain competitive in the industry. Unique contribution to theory, practice and policy: The study recommended that Commercial banks should implement effective financial innovations that would positively influence ROA and ROE. The findings of this study shall assist commercial banks and related financial institutions to monitor outcomes including effects of financial innovations with projections for profits as well as higher returns on ROA, ROE. It shall guide academic reference and policy making.
Evaluation of the Validity of a Nonlinear J-Shaped Dose-Response Relationship in Cancers Induced by Exposure to Radiofrequency Electromagnetic Fields

The radiofrequency electromagnetic fields (RF-EMFs) produced by widely used mobile phones are classified as possibly carcinogenic to humans by International Agency for Research on Cancer (IARC). Current data on the relationship between exposure to RF-EMFs generated by commercial mobile phones and brain cancer are controversial. Our studies show that this controversy may be caused by several parameters. However, it seems that the magnitude of exposure to RF-EMFs plays a basic role in RF-induced carcinogenesis. There is some evidence indicating that, in a similar pattern with ionizing radiation, the carcinogenesis of non-ionizing RF-EMF may have a nonlinear dose-response relationship. In this paper, the evidence which supports a nonlinear J-shaped dose-response relationship is discussed.
Some boundary hitting problems for diffusion processes

The thesis is split into two distinct parts. Part I deals with a stochastic control problem and its application to weak comparison results for solutions to stochastic differential equations, and in part II we look at properties of boundary hitting times for diffusion processes, and in particular, asymptotic approximations for their distribution functions. Each part has a number of work chapters which are, as far as possible, self-contained and each chapter contains its own introduction and reference section. Thus in this form, the thesis is designed to portray the development of the thesis with time, and it is hoped that this will make understanding easier.
Perceived Parenting Styles and Emotional Control as Predictors of Peer Bullying Involvement

In our study we tested a model of the relationships among students’ perceived parenting styles, their emotional control and peer bullying involvement, since family characteristics are understudied and unclear in comparison with individual and school factors of peer bullying. Our sample included 202 students from 7th and 8th grade from 14 lower secondary schools. The resulting model showed that the authoritative parenting style positively predicted emotional regulation and observation of bullying. The authoritarian parenting style positively predicted relational and physical bullying with teasing and observation of bullying, and negatively emotional control. Emotional control as a mediating variable negatively predicted all forms of involvement in peer bullying. The results indicate the importance of promoting self-regulation skills in adolescents. Some practical implications for parents and school staff are discussed.