Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of Hematological Factors and Micronutrients Among Children Infected with Enterobius vermicularis

Malnutrition, anemia, and micronutrient deficits may be associated with Enterobius vermicularis infection. Hence, the subject has recently received a lot of attention. The goal of this study was to analyse the nutritional, hematological and micronutrient status of children infected with E. vermicularis. This research was carried out in Baghdad from October 2021 to the end of March 2022. The study comprised 100 children of both sexes, ranging in age from 3-16 years. All individuals nutritional status was assessed using the weight-for-age Z score and the height-for-age Z score. As well as cellophane tape samples and blood samples were collected from all individuals. The cellophane tape samples were examined under microscope for E. vermicularis detection. Whereas blood samples were processed to assess many factors which were: haemoglobin, ferritin, total binding capacity (TIBC), serum iron, serum zinc and serum magnesium. Results revealed significant correlations between E. vermicularis infection occurrence and each of age and gender, even though most infections were noticed among females and among those who were between 3-9 years. The results also showed that the nutritional status, based on weight for age Z score, was significantly (P˂0.05) related to E. vermicularis occurence. Moreover haemoglobin, ferritin, serum iron, serum zinc and serum magnesium were noted to have significantly (P˂0.05) decreased among those who were E. vermicularis positive compared with E. vermicularis negative group. While total iron-binding capacity (TIBC) increased significantly among E. vermicularis positive children. The current investigation revealed that E. vermicularis infection had significant implications on several haematological elements, as well as stunting nutritional shortages. As a result, a lower prevalence of intestinal parasite infection (particularly enterobiasis) among children would almost certainly benefit their growth, development and educational outcomes.
Robust estimation in time series

A desirable property of an autocovariance estimator is to be robust to the presence of additive outliers. It is well-known that the sample autocovariance, based on the moments, does not own this property. Hence, the definition of an autocovariance estimator which is robust to additive outlier can be very useful for time-series modeling. In this paper, some asymptotic properties of the robust scale and autocovariance estimators proposed by Ma & Genton (2000) is study and applied to time series with different correlation structures. Introduction-References bases of this talk are: I FAJARDO M. , F. A. , REISEN, V. A. , CRIBARI NETO, Francisco. Robust estimation in Long-memory processes under additive outliers. Journal of Statistical Planning and Inference, 139 , 2511 2525, 2009. I SARGNAGLIA, A. REISEN, V. A, C. LEVY-LEDUC. Robust estimation in PAR models in the presence of additive outliers, Journal of Multivariate Analysis, 2, 2168-2183, 2010. I C. LEVY-LEDUC. H. BOISTARD, MOULINES, E. M. S. TAQQU. and REISEN, V. A. Asymptotic properties of U-processes in long-range dependence. The Annals of Statistics, 39(3),1399-1246, 2011 I C. LEVY-LEDUC, H. BOISTARD, , MOULINES, E. MURAD S TAQQU and REISEN, V. A. Robust estimation of the scale and the autocovariance functions in short and long-range dependence. Journal of Time Series Analysis,32 (2),135-156. 2011. I LEVY-LEDUC, H. BOISTARD, MOULINES, E. MURAD S TAQQU and REISEN, V. A. Large sample behavior of some well-known robust estimators under long-range dependence,Statistics, 45(1),59-71, 2011. Applications: Nile river 622 1281 D.C. 622 722 822 922 1022 1122 1222 10 00 12 00 14 00 0 10 20 30 40 50 60 70 − 0. 1 0. 1 0. 3 0. 5
Generative LLMs and Textual Analysis in Accounting: (Chat) GPT as Research Assistant?

Generative Large Language Models (GLLMs), such as the ChatGPT and GPT-4 models by OpenAI, are emerging as powerful tools for textual analysis tasks in accounting research. GLLMs can solve any textual analysis task solvable using non-generative methods, as well as tasks previously only solvable using human coding. This paper highlights the applications of GLLMs for accounting research and compares them to existing textual analysis methods. I also provide a framework for researchers to effectively utilize GLLMs in their work, addressing key considerations such as model selection, prompt engineering, and construct validity. Furthermore, I highlight the importance of addressing bias, replicability, data privacy, and attributability concerns when employing GLLMs. Finally, I explore current GLLM developments and provide practical guidance and code examples in the appendix. Taken together, this paper equips researchers with the necessary knowledge and tools to harness the potential of GLLMs and editors and reviewers with the knowledge to better evaluate papers that use the GLLM approach. ____________
Reducing computational time in the electromagnetic field calculation due to indirect stroke

Para calcular el sobrevoltaje inducido en una linea de transmision debido a una descarga atmosferica se necesita estimar el campo electromagnetico. El calculo del campo consume tiempo de computo prohibitivo; por esta razon desde la decada de los 80’s se inicio la busqueda de como simplificar los modelos para hacer mas accesible la implementacion computacional de este tipo de estudios. La primera simplificacion consiste en aproximar una descarga atmosferica con una funcion simple. La segunda simplificacion consiste en la implementacion de un interpolador lineal. Aqui se propone la implementacion de un interpolador parabolico espacial para reducir las necesidades de recursos de computo, manteniendo el compromiso entre el tiempo de calculo y el error acumulado. Esta nueva simplificacion incorpora un error adicional equiparable con el que incorpora el interpolador lineal en tiempo, por lo tanto se considera una estrategia adecuada en el calculo optimo del campo electromagnetico. The induced overvoltage work out in a distribution line, due to indirect lightning discharge, needs the electromagnetic field estimation. The field calculation consumes a lot of computational resources; for this reason since 80s it is looking for some simplifications in the models to render more approachable the computation implementation of this kind of studies. Heidler function is maybe the best model to represent the current of a lightning discharge, so the first simplification consist in the approach of a lightning discharge with a simple function like a double linear ramp (here called triangular) and/or a trapezoidal waveform. The second simplification concerns to the implementation of a linear interpolation ones the current overpass its maximum value, this means that the electromagnetic field is calculated step by step the first microseconds and then every ten time steps (like an example), the remain data are linearly interpolated. It is proposed here the implementation of a parabolic space interpolation to reduce the computational needed resources; the compromise is the electromagnetic field calculation in the minimum time limiting the error. The proposed simplification incorporated an additional error comparable to the one of the time linear interpolation, so it is considered that this strategy is as good as the previous one in the electromagnetic field optimum calculation.
Euler-Maruyama Approximation for Mean-Reverting Regime Switching CEV Process

The mean-reverting constant elasticity of variance (CEV) process with regime switching is one of the most successful continuous-time models of the short term rate, volatility, and other financial quantities. However, most SDEs with Markovian switching do not have explicit solutions. This paper obtains the Euler-Maruyama approximate solution for mean-reverting Regime Switching CEV processes and provides a detailed proof of the convergence of the EM approximate solution to the exact solution. In this paper, we investigate the Euler-Maruyama approximate solution of a stochastic differential equation, where we generalize the mean-reverting CEV process by replacing the constant parameters with the corresponding parameters modulated by a continuous-time, finite-state, Markov chain. This paper obtain the Euler-Maruyama approximate solution for mean-reverting Regime Switching CEV processes and provides a detailed proof of the strong convergence of the EM approximate solution to the exact solution. This paper is organized as follows. In Section II, we develop a mean-reverting CEV process with regime switching. The Euler-Maruyama approximate solution is provided in Section III. In Section IV, we provide a detailed proof of the strong convergence of the EM approximate solution to the exact solution. Conclusion is given in Section V.
Foliar Application Effects of Zinc Oxide Nanoparticles on Growth, Yield and Drought Tolerance of Soybean

In modern agriculture, the application of nano fertilizers is increasing the productivity and stability of different crops by reducing the destructive effects of abiotic stresses. The nano particles are significant for their particle shape, potential reactivity, tunable pore size and high surface area. A pot experiment was conducted at the Department of Agronomy, Bangabandhu Sheikh Mujibur Rahman Agricultural University, Gazipur during Rabi season (December 2020 to March 2021) to evaluate the effects of foliar spray of nano zinc (ZnO) in varying doses (0, 100 and 200 ppm) on growth, dry matter accumulation and yield of soybean under drought (40% of field capacity, FC) and control (80% of FC) conditions. The trial was conducted in a completely randomized design (CRD) with three replications. Plant height; fresh and dry weight of leaf, stem and whole plant; number of pods per plant; number of seeds pod-1; 100-seed weight and seed yield of soybean were suppressed due to drought stress. Under both drought and control conditions, the foliar application of nano zinc substantially improved the growth, dry matter accumulation and yield of soybean. In drought condition, the foliar spray of 200 ppm nano zinc solution increased plant height, total fresh and dry weight by 21.69, 34.23 and 76.03%, respectively. In drought conditions, nano Zn particles at 100 and 200 ppm increased seed yield by 26.79 and 63.50%, and in control conditions by 13.07 and 23.56%, respectively. As such the results indicated that foliar application of nano zinc oxide improved growth, yield and drought tolerance of soybean. Bangladesh Agron. J. 2022, 25(2): 73-82
Solving a problem by students with different mathematical abilities : A comparative study using eye-tracking

The main purpose of this study is to compare the problem solving processes of mathematically gifted and underperforming students by utilizing eye-tracking methodologies. We have found the following differenti-ators between the groups: (a) time of the analysis of the problem's wording, (b) the number and placement of fixations, (c) the number of fixations while analysing the text of the problem. We also prove that total amount of time of solving a problem is not an important differentiating parameter; speed is not a characteristic of mathematically gifted students.
Analysis of Early Childhood Fine Motor Skills Through the Application of Learning Media

Objective: The learning media is one of the methods needed in the learning process when students are in class, especially for developing fine motor skills. Fine motor skills are fine motor skills that involve finely coordinated movements. This research was conducted to describe and analyze the implementation of the learning media to develop and stimulate the development of children's fine motor skills. The novelty of the research is learning media to improve fine motor skills in early childhood. This study aims to describe fine motor skills in early childhood through learning media. Method: This research method is a literature study or literature review with a qualitative approach that is carried out by collecting data or based on scientific writing, which combines research with existing literature to solve existing problems—collecting data on library materials by reading and storing and managing research materials and concluding research materials. Results: Based on an analysis of 30 learning articles using learning media shows that developing fine motor skills in early childhood requires learning activities using learning media to support and support the learning process. In addition, when the learning process uses learning media, children become interested, enthusiastic, and excited because learning activities become fun. Novelty: The novelty of the research is learning media to improve fine motor skills in early childhood.
Chapter 5:The Profile of a Bragg Reflection for Extracting Intensities

A Bragg reflection from a perfect crystalline material, measured on a perfect diffractometer, would have a simple Dirac peak profile (the δ function) exactly located at the diffracting angle position 2θ expected from the Bragg law (2dsinθ = λ). Unfortunately, there is no such thing as a perfect diff.
Partial agreement in German:A processing issue?

Interestingly, agreement with one conjunct (partial agreement) is only possible if the subject is preceded by the verb as in (1a). Moreover, partial agreement in V-S word order is optional in German. This pattern also arises in many other languages, as reported, e.g., for Moroccan and Lebanese Arabic, Russian, Swahili and Polish (see, e.g., Marten (2005), Lorimor (2007)). Syntactic accounts of single conjunct agreement generally have the problem that different mechanisms have to be postulated depending on the position of the subject. The optionality of partial agreement is an additional difficulty for syntactic accounts.
Shear flow of a suspension of bubbles rising in an inclined channel

A weak, laminar shear flow of a monodisperse suspension of high-Reynolds-number, low-Weber-number bubbles is studied in a novel experimental configuration. Nitrogen bubbles are formed through an array of small capillaries at the base of a tall channel with a small inclination from the vertical. The bubbles generate a unidirectional shear flow, in which the denser suspension near the bottom wall falls and the lighter suspension near the top wall rises. Profiles of the bubble and liquid velocities and the bubble volume fraction are obtained using hot-film and dual impedance probes. To our knowledge, measurements of the laminar shear properties of a nearly homogeneous bubble suspension have not previously been reported. A steady shear flow is observed in which the bubble velocity variation across the channel is typically less than 20% of the mean bubble velocity. The velocity and volume fraction gradients increase with channel inclination and exhibit little or no dependence on the mean gas volume fraction. To explain the magnitude of the volume fraction gradients, it is necessary to consider the effects of both the lift force and the effective bubble-phase diffusivity in balancing the segregating tendency of the cross-channel component of the buoyancy force. The bubble velocity gradient can be understood in terms of a balance of the component of the buoyancy force parallel to the channel walls and an effective viscosity associated with the Reynolds stresses produced by bubble-induced liquid velocity fluctuations. Theories for bubbles rising with potential-flow hydrodynamic interactions predict an instability of the homogeneous state due to a negative Maxwell pressure. However, the hydrodynamic diffusivity inferred from our experiments is large enough to mitigate the clustering effects of the Maxwell pressure. Consistent with this, a vigorous instability of the homogeneous state of the bubble suspension is only observed at volume fractions larger than 5%–20% with the critical volume fraction depending on the angle of inclination.
Prevalence of Hemiplegic Shoulder Pain in Iran: A Systematic Review and Meta-analysis

Context Hemiplegic shoulder pain (HSP) is one of the complications of a stroke. Objectives This study aimed to determine shoulder pain prevalence in cerebrovascular accident (CVA) patients. Methods This meta-analysis study searched English and Persian descriptive or descriptive-analytical full-text studies on CVA patients. The search was carried out in all databases by two researchers using keywords such as stroke, pain, CVA, hemiplegic, and shoulder pain. Data analysis was done with the software CMA3. Results In the initial search, 109 articles were found, and finally, the data from four articles were analyzed. The prevalence of HSP was 23% (confidence interval (CI) = 10.3% - 43.5%). Conclusions Considering the HSP prevalence (28.1%) among CVA patients, it is necessary to carry out rehabilitation interventions to prevent such pain in these patients. It is also suggested that rehabilitation interventions be included in the patient education of the healthcare system.
A unified modeling approach for characterization of fractional‐order memory elements

A generalized mathematical model for current‐controlled fractional‐order memory elements is introduced in this work. The model characterizes constant‐phase elements (CPEs) when its nonlinearity parameter is zero ( k=0 ); otherwise ( k≠0 ), it characterizes three main types of fractional‐order memory elements (memristor, meminductor, and memcapacitor). Time‐domain analyses of the voltage and energy relations of the model are derived and verified via numerical and circuit simulations. Some new deductions on the effects of the respective fractional‐order values are recorded: Each fractional‐order element transposes into their corresponding resistive or memristive properties as their fractional‐order values are varied; the meminductor's voltage response have undesired initial trails due to the fractional differentiator; the hysteresis loop of the meminductor is only pinched when its fractional‐order values are unequal. A new CPE emulator circuit is designed, and a generalized memelement emulator is also designed and verified in PSpice circuit simulator: Circuit simulation results confirm the numerical analysis in all cases.
The applicability and challenges of implementing Facilities management standards in South Africa

FM is a multi-sector environment where organisations vary in terms of scope, structure and services. The publication of management system standards in the FM environment has created significant challenges in implementation. Few of the World’s top 10 listed FM companies have achieved ISO 41001 certification. This opinion paper discussed the applicability and challenges of the implementation of ISO41001 standard in the South African context. An opinion piece was conducted on applicability and challenges of implementing management system standards in South Africa. The paper found that the challenges of implementing these systems include a lack of awareness, resistance to change, and lack of applicability to some organisations. Also, many organisations spend many human resources, capital, and time but still have inadequate and poorly deployed management systems. The paper recommends that ISO41001 implementation frameworks are developed that consider the varying scope, structure, and services within the FM environment to improve its success in the South African organisations.
FM-OLS estimation of cointegrating relationships among nonstationary fractionally integrated processes

In this paper we address the issue of the efficient estimation of the cointegrating vector in linear regression models with variables that follow nonstationary fractionally integrated processes and with the equilibrium error evolving as a weakly stationary linear process. The estimation method herein considered is the FM-OLS first developed by Phillips and Hansen (1990). When d> 1, a simple FM-OLS estimator is proposed which just entails correcting for the endogeneity bias. By contrast, when delaing with the case where ~ < d < 1, we show that the limitng distribution of the OLS estimator is nonstandard and that the FM-OLS methodology cannot longer be implemented. On the other hand, the same conclusions apply when we consider a mixture of nonstationary fractionally integrated processes. Finally, we also study the consequences of applying the original semiparametric FM-OLS estimator for contegrated J(l) variables when the true order of integration lies in the nonstationary range and is different from the unit root case. Not surprisingly we find that, under those more general cases, the limitng distribution of the original FM-OLS estimator is no longer mixed normal, loosing its optimal properties.
A modification of the em algorithm with applications to spatio-temporal modeling

This dissertation outlines the use of the maximum likelihood procedures for estimation of the parameters of spatial and spatio-temporal processes when some observations are missing, and reviews the realizations of ML and EM procedures in the presence of missing data when the data are correlated. A version of the EM algorithm is suggested that has a promise of being computationally more efficient due to reduction of the number of matrix inversions, although at a price of the loss of the estimator's consistency and asymptotic efficiency. Corrections that restore unbiasedness of the estimating equations implied by the EM algorithm are proposed. Asymptotic properties (consistency and normality) of the resulting estimators are established. Applications of the new procedure are considered: an analytically tractable case of AR(1) process, and an application to real data on PM2.5 measurements.
Implementing a learning analytics dashboard to support academic advising practice: advisors' information needs and evaluations

Current research has identified academic advisors as an important stakeholder group of developing and using learning analytics (LA) tools and practices. With the provided LA tools, advisors are able to monitor students’ progression, use visualizations as a mediation for the student-advisors dialogue during advising meetings, support students' academic decision-making, follow predictions of student performance and retentions, and make informed decisions about needed support and interventions [1], [2]. Engaging all stakeholders actively for the development and implementation process of LA tools is important in order to develop relevant and reliable LA tools [3]. Our study describes a development process of a learning analytics dashboard (LAD) for academic advisors. We set following research questions to identify the key support aspects, advisors’ information needs, and their evaluations of the developed LAD as a support for their advising practice:
How do business students self-regulate their project management learning? A sequence mining study

The relation between learning strategies and academic achievement has been proven to be strong in multiple studies. Still, the connection between micro-level SRL processes and the academic achievement of business students in learning project management remains unstudied. The current study aims to find how sequence mining can identify students using different learning tactics and strategies in terms of micro-level SRL processes. Our findings show that there are differences in the use of tactics and strategies between low and high performing students. Understanding the differences in how low and high performing students apply different micro-level SRL processes can help practitioners identify students in need of support for SRL.