Summary Of Process Research Articles

Enhancing Digital Health Awareness and mHealth Competencies in Medical Education: Proof-of-Concept Study and Summative Process Evaluation of a Quality Improvement Project.

Currently, there is a need to optimize knowledge on digital transformation in mental health care, including digital therapeutics (eg, prescription apps), in medical education. However, in Germany, digital health has not yet been systematically integrated into medical curricula and is taught in a relatively small number of electives. Challenges for lecturers include the dynamic field as well as lacking guidance on how to efficiently apply innovative teaching formats for these new digital competencies. Quality improvement projects provide options to pilot-test novel educational offerings, as little is known about the acceptability of participatory approaches in conventional medical education. This quality improvement project addressed the gap in medical school electives on digital health literacy by introducing and evaluating an elective scoping study on the systematic development of different health app concepts designed by students to cultivate essential skills for future health care professionals (ie, mobile health [mHealth] competencies). This proof-of-concept study describes the development, optimization, implementation, and evaluation of a web-based elective on digital (mental) health competencies in medical education. Implemented as part of a quality improvement project, the elective aimed to guide medical students in developing app concepts applying a design thinking approach at a German medical school from January 2021 to January 2024. Topics included defining digital (mental) health, quality criteria for health apps, user perspective, persuasive design, and critical reflection on digitization in medical practice. The elective was offered 6 times within 36 months, with continuous evaluation and iterative optimization using both process and outcome measures, such as web-based questionnaires. We present examples of app concepts designed by students and summarize the quantitative and qualitative evaluation results. In total, 60 students completed the elective and developed 25 health app concepts, most commonly targeting stress management and depression. In addition, disease management and prevention apps were designed for various somatic conditions such as diabetes and chronic pain. The results indicated high overall satisfaction across the 6 courses according to the evaluation questionnaire, with lower scores indicating higher satisfaction on a scale ranging from 1 to 6 (mean 1.70, SD 0.68). Students particularly valued the content, flexibility, support, and structure. While improvements in group work, submissions, and information transfer were suggested, the results underscore the usefulness of the web-based elective. This quality improvement project provides insights into relevant features for the successful user-centered and creative integration of mHealth competencies into medical education. Key factors for the satisfaction of students involved the participatory mindset, focus on competencies, discussions with app providers, and flexibility. Future efforts should define important learning objectives for digital health literacy and provide recommendations for integration rather than debating the need for digital health integration.

Monte Carlo Vortical Smoothed Particle Hydrodynamics for Simulating Turbulent Flows

AbstractFor vortex particle methods relying on SPH‐based simulations, the direct approach of iterating all fluid particles to capture velocity from vorticity can lead to a significant computational overhead during the Biot‐Savart summation process. To address this challenge, we present a Monte Carlo vortical smoothed particle hydrodynamics (MCVSPH) method for efficiently simulating turbulent flows within an SPH framework. Our approach harnesses a Monte Carlo estimator and operates exclusively within a pre‐sampled particle subset, thus eliminating the need for costly global iterations over all fluid particles. Our algorithm is decoupled from various projection loops which enforce incompressibility, independently handles the recovery of turbulent details, and seamlessly integrates with state‐of‐the‐art SPH‐based incompressibility solvers. Our approach rectifies the velocity of all fluid particles based on vorticity loss to respect the evolution of vorticity, effectively enforcing vortex motions. We demonstrate, by several experiments, that our MCVSPH method effectively preserves vorticity and creates visually prominent vortical motions.

МАТЕМАТИЧНІ СИСТЕМИ ДЛЯ РЕАЛІЗАЦІЇ ШТУЧНИХ НЕЙРОННИХ МЕРЕЖ, ОРІЄНТОВАНИХ НА ХМАРОВІ ОБЧИСЛЕННЯ

The article provides a detailed overview of research focusing on artificial neural networks (ANNs) and their applications in cloud computing. Research methods of organizational development and changes based on artificial intelligence technologies and intellectual support systems are presented in the plane of: intellectual expert systems; inductive systems; semantic networks, neural networks, genetic algorithms. The aim of the study. The research is aimed at the study and analysis of modern mathematical systems used to implement artificial neural networks (ANNs). The main focus of the work is on how each artificial neuron in the network is characterized by its current state, which is similar to nerve cells in the brain that can be excited or inhibited. A detailed description of the functioning of neurons is provided, including the processes of summation of input signals and activation using activation functions. Special attention is paid to multilayer neural networks and their ability to form complex multidimensional functions. The methods of building decision-making models based on the analysis of unclear situations and reference states determined by experts are defined. The process of comparing the real states of organizations with reference ones for making optimal decisions is considered. The importance of fuzzy logical operations for determining the degree of closeness of various situations is described. Fuzzy reference situations for cloud computing and their impact on decision-making in various scenarios are proposed. Examples of real and hypothetical fuzzy situations are given, and methods of determining the fuzzy correspondence between different reference situations are also considered. The final part of the abstract emphasizes the possibilities and advantages of using such models in cloud computing, emphasizing their importance for the development of organizations and systems.

Measurement-device-independent quantum secure multiparty summation based on entanglement swapping

In this paper, we propose a measurement-device-independent (MDI) quantum secure multiparty summation protocol based on entanglement swapping. The protocol is capable of providing a secure modulo-2 summation method for n parties. Our protocol uses Bell states as the information vehicle and establishes encryption through entanglement swapping, and each party encodes the information orderly to complete the summation process through the simple single-qubit operation. In contrast to previous protocols, there is no pre-shared private key sequence and key storage process in our protocol, which helps to reduce the possibility of information leakage in transmission. Our protocol supports multiple summations by n participants, which improves quantum resource utilization. The protocol can be implemented with linear-optical devices. Furthermore, it can resist multiple attack modes including the intercept-resend attack, entangle-and-measure attack, dishonest third-party attack, and parties’ attack. Most significantly, the protocol enables to eliminate all side-channel attacks against detectors based on the MDI principle. Therefore, the protocol has advantages of high security, high efficiency, and good feasibility.

Steinhaus Type Theorem for Nörlund-(M, λn) and Nörlund-Euler-(M, λn) Methods of Summability in Non-Archimedean Fields

In the present research paper, an investigation is undertaken of Steinhaus type theorems for Nörlund-(M, λn) and Nörlund-Euler(M, λn) method of summability in K, a complete non-trivially valued Non-Archimedean field. The conditions for statistical summability for those matrices are discussed in such fields K. The consistency of Nörlund-(M, λn) method of summability is investigated when different sequences are used in the summation process. Further, the relation between Nörlund-Euler(M, λn) summable and its statistical summability is also established.

Teachers Readiness In The Process Of Implementing The Independent Learning Curriculum In Elementary School

This study aims to determine the readiness of teachers in implementing the Independent Curriculum in elementary schools. This research was conducted at the State Elementary School 34/I Teratai, Kec. Muara Bulian Kab, Batang Hari, Jambi Province. The type of research used is qualitative research with descriptive research. The research data were obtained through observation and interviews (as the main data) and document studies (as supporting data). The results in this study indicate that teacher readiness is an important component in curriculum implementation. teacher readiness in the process of implementing the independent curriculum at SDN 34/I is in the pretty good category. This is related to the teacher's presentation of the independent curriculum which shows that the teacher understands well the concept, objectives, mechanisms and structure of implementing the independent curriculum, but there are still a number of things that need to be studied further regarding lesson planning or making teaching modules. At the implementation stage the teacher has implemented the independent curriculum in accordance with government directives, namely carrying out project learning to strengthen the Pancasila student profile (P5) and differentiated learning. At the assessment stage the teacher carries out diagnostic, formative and summative assessments and processes these assessments to see the achievement of learning and become evaluation material. From the research results obtained, for the process of implementing the independent curriculum in the first year, schools and teachers are expected to always work together so that the process of implementing the independent curriculum is more optimal. It is hoped that the results of this study can have benefits for further research.

Suprathreshold length summation.

To investigate the mechanisms underlying elongated spatial summation with a pattern-masking paradigm, we measured the contrast detection thresholds for elongated Gabor targets situated at 3° eccentricity to either the left or right of the fixation and elongated along an arc of the same radius to access homogeneous retinal sensitivity. The mask was a ring with a Gabor envelope of the same 3° center radius containing either a concentric (iso-orientation mask) or a radial (orthogonal mask) modulation. The task of the observer was to indicate whether the target in each trial was on the left or the right of the fixation. With orthogonal or low contrast iso-orientation masks, target thresholds first decreased with size with slope -1 on log-log coordinates until the target length reached 45' (specified as the half-height full-width of the Gabor envelope) and then further decreased according to a slope of -1/2, the latter being the signature of an ideal summation process. When the contrast of the iso-orientation mask was sufficiently high, however, the target thresholds, while still showing a -1 slope up to ∼10', asymptoted up to about 50' length, suggesting that the presence of the mask eliminated the ideal summation regime. Beyond about 50', the data approximated another -1 slope decrease in threshold, suggesting the existence of an extra-long channel that is not revealed by the conventional spatial summation paradigm. The full results could be explained by a divisive inhibition model, in which second-order filters sum responses across local oriented channels, combined with a single extra-long filter at least 300' in extent. In this model, the local filter response is given by the linear excitation of the local channels raised to a power, and scaled by divisive inhibition from all channels in the neighborhood. With the high-contrast iso-orientation masks, such divisive inhibition swamps the response to eliminate the ideal summation regime until the stimulus is long enough to activate the extra-long filter.

Summative evaluation in technical professional education: general aspects

In this paper we analyze the theoretical, general fundamental aspects of the concept of summative evaluation in professional-technical education, with the aim of familiarizing with the distinct elements of the summative assessment process. We emphasise the fact that teachers must choose appropriately or developing his own evaluation methods, to administer and to interpret the assessment results, to use the evaluation results by leveraging them in decision-making, to develop and apply grading procedures, to communicate assessment results considering various audience categories, to recognize and avoid the unethical, illegal implications, the distorted effects of some assessment procedures and thus through the skills analyzed in the paper and the functions of summative assessment we can facilitate this process.

Approximation properties of Abel-Poisson integrals on the classes of differentiable functions, defined by means of modulus of continuity

Being the natural apparatus of the periodic functions approximation, the partial Fourier sums are not uniformly convergent over the entire space of the continuous functions. This fact stimulated the search for ways to construct sequences of polynomials that would converge uniformly on the entire space. The matrix method of Fourier series summation is one of the most common methods. Many results on the approximation of the classes of differentiated functions have been obtained for methods generated by triangular infinite matrices. The set of approximating linear methods can be extended by the process of summation of Fourier series, when instead of an infinite triangular matrix one considers the set $\Lambda=\{\lambda_{\delta}(k)\}$ of functions of the natural argument depending on the real parameter $\delta$. The paper deals with the problem of approximation in the uniform metric of $W^{1}H_{\omega}$ classes using one of the classical linear summation methods for Fourier series given by a set of functions of a natural argument, namely, using the Abel-Poisson integral. At the same time, emphasis is placed on the study of the asymptotic behavior of the exact upper limits of the deviations of the Abel-Poisson integrals from the functions of the mentioned class.

Quantum Secure Multi-Party Summation with Identity Authentication Based on Commutative Encryption

In quantum secure multi-party summation protocols, some attackers can impersonate legitimate participants in the summation process, and easily steal the summation results from the participants. This is often overlooked for existing secure multi-party summation protocols, thus rendering them insecure. Based on commutative encryption, a quantum secure multi-party summation protocol with identity authentication is proposed in this paper. In the protocol, each participant encodes a secret integer on photons via unitary operations. At the same time, a one-way hash function technique with a key is utilized to perform identity authentication operations for each participant. Finally, the summation is calculated with the help of a semi-trusted third party. The analysis of the protocol shows that the proposed protocol is correct and resistant to common and impersonation attacks. Compared to related protocols, the use and measurement of single photons makes the protocol easier to implement into existing technology. Furthermore, the simulation experiments on the IBM Q Experience cloud platform demonstrate the effectiveness of the presented protocol.

Acoustic Path Filtering for Improved Multimode Total Focusing Method Inspection

Total focusing method (TFM) is an ultrasonic testing (UT) technique that provides nondestructive testing (NDT) inspectors with new imaging modes, enabling more accurate detection, sizing, and representation of challenging defects. While TFM may offer convenient, nearly true-to-geometry imagery as the inspection result, it is often detrimentally affected by mode conversion artifacts. Current standards, such as ASME Section V, place the burden on the inspector to explain the origins of those artifacts, impacting the productivity and reliability of the inspection. A method enabling direct control of the ultrasonic wave propagation modes—that is, transverse wave (T) or longitudinal wave (L)—through each interface of the acoustic path is proposed and evaluated in this paper. This control is achieved after the full matrix capture acquisition by modulating, according to the desired propagation mode, the gain applied on the individual paths within the summation process. This leads to the formation of a Path-Filtered Total Focusing Method image. Empirical results on various use cases show considerable improvement of the signal-to-noise ratio through the almost complete elimination of signals originating from undesired paths.

High-Frequency Ultrasonic Radiator Power Increase by Means of Summation of Vibrations of Symmetrically Arranged Langevin Transducers

The article focuses on the research of processes of summation of ultrasonic vibrations of individual Langevin transducers symmetrically arranged on a common summator. This design could be used to solve the problem of increasing the power of a high-frequency ultrasonic radiator by means of the summation of the vibrations of individual Langevin transducers. The results of the presented theoretical and experimental investigations supported the possibility of summation of symmetrical diametrical vibrations when they are transformed into longitudinal vibrations. As a result, a new design scheme for high-frequency radiator construction was developed that provides symmetry and uniformity of vibration amplitude distribution of piezoceramic elements. This made it possible to eliminate the damage of piezoceramic elements. The article establishes that an acoustic power (continuous mode) of 1450 W at an efficiency of 78% is achieved when the vibrations from 9 to 11 of symmetrically arranged Langevin transducers at a resonant frequency of 30.05 kHz with an amplitude of 26 µm are summed. The use of this ultrasonic high-frequency radiator with increased power will provide intensification of processes in various areas of industry.

Performance improvement of MF-DFA on feature extraction of skin lesion images

In this paper, we propose an improved algorithm based on the original two-dimensional (2D) multifractal detrended fluctuation analysis (2D MF-DFA) that involves increasing the number of cumulative summations in the computational steps of 2D MF-DFA. The proposed method aims to modify the distribution of the generalized Hurst exponent to ensure that skin lesion image features are extracted based on enhanced multifractal features. We calculate the generalized Hurst exponent using 0, 1, or 2 cumulative summation processes. A support vector machine (SVM) is adopted to examine the classification performance under these three conditions. Computation shows that the process involving two cumulative summations achieves an accuracy, sensitivity, and specificity of [Formula: see text], [Formula: see text], and [Formula: see text], respectively, which indicates that its performance is much better than with 0 and 1 cumulative summations.

IMPLEMENTATION OF THE SIMPLE ADDITIVE WEIGHTING (SAW) METHOD FOR SELECTION OF SALESPERSON

The purpose of this study is to apply the Simple Additive Weighting (SAW) method in determining the best salesperson at XYZ company in terms of sales performance. This SAW method is considered very suitable in determining the best salesperson because the SAW method carries out a weighted summation process based on the performance rating of each alternative on all existing attributes. The calculation process for selecting the best salesperson is carried out based on criteria that have been determined by the company based on the results of discussions and each criterion has weight. In the best salesperson assessment, the Company determines the criteria that become a reference in decision making. The criteria used are total sales, attendance, product knowledge, communication, and creativity. The results of the calculation of the final score obtained by the best salesperson ranked 1st were Rangga Dwi Nugroho getting a final score of 0.9. Rank 2 Nurlia Arbaini got a final score of 0.8436. And in 3rd place, Defri Akbarias got a final score of 0.8364. From the results of these calculations, it shows that the SAW method has provided more effective results in terms of providing the best salesperson assessment results, so this is a very important information for company leaders in determining outstanding salesperson based on existing criteria using the SAW method.

Periodic Korovkin Theorem via $P_{p}^{2}$-Statistical $\mathcal{A}$-Summation Process

In the current research, we investigate and establish Korovkin-type approximation theorems for linear operators defined on the space of all $% 2\pi $-periodic and real valued continuous functions on $% %TCIMACRO{\U{211d} }% %BeginExpansion \mathbb{R} %EndExpansion ^{2}$ by means of $\mathcal{A}$-summation process via statistical convergence with respect to power series method. We demonstrate with an example how our theory is more strong than previously studied. Additionally, we research the rate of convergence of positive linear operators defined on this space.

Number of Lines of Image Reconstructed from a Revealing Emission Signal as an Important Parameter of Rasterization and Coherent Summation Processes

An important issue in the protection of information against electromagnetic penetration is the possibility of its non-invasive acquisition. In many cases, getting hold of protected information involves recreating and presenting it in a readable and understandable form. In particular, this applies to data processed in graphic form and in such a form presented on the side of eavesdropping system. The effectiveness of reconstructing data in graphic form requires knowledge of raster parameters, i.e., the line length and the number of lines of the reproduced image. This article presents new measures allowing for the determination of the correct number of lines in an image. The maximum value of the measures has been proposed as a criterion for the correctness of determining the number of image lines. A predetermined number of image lines was assumed as the input data, which was determined on the basis of the analysis of the amplitude variability of the recorded revealing emission signal. The result of the considerations of the effectiveness of the measures adopted in the process of electromagnetic infiltration was the indication of methods that allow for the correct determination of the number of lines of the reproduced image. The correct number of image lines allows the use of the coherent summation algorithm of tens of images.

Digital Dashboards for Summative Assessment and Indicators Misinterpretation: A Case Study

Over the last decade, teachers in France have been increasingly pressured to use digital learning environments, and to shift from grade-based to skill-based assessment. Educational dashboards, which measure student input electronically, could foster such a transition by providing insights into learners’ performances. However, such dashboards could also foster data misinterpretation during the summative assessment process, should the indicators that they display be used without a proper understanding of what they reflect. This article presents a methodology to detect potential mistakes in the interpretation of the indicators in the context of inquiry-based learning. During the design of a learning environment, we analyzed, through analytics and classroom observations in primary and middle schools, the issues that could arise from the use of a dashboard. Our data suggest that the amount of information practitioners needed to collect to make indicators relevant was burdensome, making the dashboard unfit for assessment purposes at the scale of a classroom.

Towards adapting reverse vertical seismic profiling for ambient-noise imaging with transient sources: Automatic estimation of stationary-phase receivers for improved retrieval of the interferometric Green’s function

Most of the ambient-noise studies are performed with sensor arrays located at the surface. Passive recordings containing seismic arrivals from subsurface sources could be seen as having a geometry resembling reverse vertical seismic profiling (RVSP). In such scenarios, the intersource seismic-interferometry technique can be used to redatum the surface receivers to the subsurface source positions resulting in virtual shot gathers at depth. The success of the interferometric processing primarily requires that a correlation panel created in the interferometric process contains stationary-phase regions that, when summed, retrieve events with correct timing, whereas nonstationary contributions are canceled. We have addressed the combination of the RVSP configuration and ambient-noise measurements. We develop a prototype of a data-driven technique allowing us to adapt the summation process such that changes in the stationary-phase requirements imposed by changes in the noise-sources distribution can be adaptively satisfied without the need for array redeployment. We propose to identify the receivers located in the stationary-phase regions by scanning for stationary contributions in the correlation panel prior to stacking. Our method uses the correlation coefficient and time windowing to distinguish between stationary and nonstationary arrivals. The improved Green’s function estimate is obtained by limiting the summation to only those receivers that, when summed, enhance the stationary and attenuate the nonstationary contributions. We test this using a simple 2D numerical example to find a practical way to alleviate insufficient receiver coverage. We determine the theoretical possibility to improve the intersource Green’s function estimates without explicit knowledge of the target and the source distribution. However, our data-driven approach has the disadvantage of being limited to scenarios in which the correlation panel from all receivers contains identifiable stationary-phase arrivals.

Planning Implementation and Evaluation of Adult and Non-Formal Education Programme in Nigeria

The paper title planning implementation, evaluation of adult and non formal education programme in Nigeria examine the concepts planning as systematic arrangement of human and material resources to coordinate the activities of the organization or programme. The paper also looked at need analysis and programme planning of adult and non formal which include: asking, observing and testing. The paper also examines types of planning in adult and non formal education programme which include among others: hierarchical, frequency and contingency. The authors discuss in details steps in programme planning of adult and formal education that includes: being aware of opportunities, establishing objectives and develop premises etc. The paper further described how implementation process of adult and non formal education is been done through: fund, human and material resources and technical personnel for programme implementation among others. And evaluation process on adult and non formal education programme were part of what the paper examine in order to see the achievement and where need is to correct mistakes. The evaluation process include: formative and summative process. The paper finally gives summary about the paper.

Sistem Pendukung Keputusan Menentukan Sales Terbaik Menerapkan Metode Simple Additive Weighting (SAW)

In this study, the author uses the SAW (Simple Additive Weighting) method to determine the best sales at marketing company. The SAW method is considered appropriate in determining the best sales because the SAW method performs the weighted summation process of the performance rating on each alternative on all attributes. This research was conducted by determining the criteria, alternatives and weights, then carried out the matrix preparation process, calculating normalization and calculating preferences. So from the results of the calculation of preferences, a ranking process is carried out to determine the best alternative. The results of the study provide recommendations for the 6th alternative which has the highest value with a value of 0.879 being the best sales.