Reviewerly/exHarmony huggingface dataset:
Machine Learning-based Analysis of ICG-Assisted NIR Spectral Data for Diagnosing Pancreatic Carcinoma

Near-infrared imaging (NIR) combined with machine learning can provide a high-throughput procedure for detecting tumors with high sensitivity and specificity, We present an end-to-end machine learning-based framework for fast, accurate diagnosis of pancreatic carcinoma.
Investigating the level of effectiveness of the anti-fraud technologies employed by the South African banking industry for cyberfraud mitigation

Purpose The purpose of this study is to examine the level of effectiveness of the anti-fraud technologies employed by the South African banking industry for cyberfraud mitigation. Design/methodology/approach This research employed a qualitative research design involving a purposive sampling method. Primary data was collected from the key organisational staff across the 17 licensed commercial banks in South Africa via the use of structured questionnaires. In particular, these were experts involved in combating fraud and taking managerial decisions regarding the use of anti-fraud technologies for cyberfraud mitigation. Non-parametric statistical analyses were carried out from the responses obtained. Findings The results obtained indicated that the combination of internal and external anti-fraud technologies such as filtering software, firewalls, encryption, continuous auditing, discovery sampling, virus protection, financial ratios, digital analysis and data mining may have a positive effect on cyberfraud mitigation. These technologies are employed mostly to ensure effective internal control systems capable of minimising cyberfraud. In addition, the anti-fraud technologies employed in the South African banking industry may also be effective in the mitigation of cyberfraud, although significant cases of cyberattacks were reported by the respondents. Practical implications The study recommends investment in more digital and emerging technologies and the development of human capacities to effectively deploy them in the combat against cybercrime. Originality/value The novelty of this study lies in the identification of the type of anti-fraud technologies/software employed by the South African banking industry and their level of effectiveness or success rate.
Workflow scheduling for intelligent modern medical system with privacy protection constraints for IaaS cloud using modified grasshopper algorithm

Cloud computing considered as perhaps the most popular figuring models. The IaaS cloud offers different processing assets to the clients on request premise. A work process in the cloud is addressed by a direct acyclic graph where the hubs address the assignments and edges address the between reliance of the errand. Distributed computing offers profoundly unique climate in which the framework burden and status of asset changes often. As due to technical enhancements many people are affected with diseases, a new intelligent modern medical system is developed. As the responsibility increments with expansion in cloud services and customers, there is a need to deal with these solicitations or occupations. Effective work booking instrument with security insurance imperatives simultaneously as limiting both execution time and cost, likewise the work process planning calculations with other improvement destinations, for example, limiting energy utilization will be thought of. Assessment is done dependent on CPU time, response time, time for total execution. Finally, the show of arranged work scheduling algorithm evaluates use different replication scenarios and shows the effectiveness over the existing state-of-the-art protocols.
Features of creating distance learning technologies in teaching foreign languages at university: Analysis of experience

Introduction . For the effective organization of the educational process during distance learning of foreign languages in the conditions of a pandemic, special technical, psychological, and pedagogical retraining is required for the transition to distance learning for both teachers and students. Purpose setting . Thus, it is necessary to study the current state of distance learning in foreign languages, both in Russia and abroad, and analyze the prospects for the development of this form of education, taking into account factors that positively affect the acquisition of a foreign language. To date, a lot of attention is paid to distance learning, as, probably, none of the many ways of learning using technology. Modern research in education, and in particular in information and communication technologies, tends to use technological resources to the maximum and use them effectively in pedagogy. In the field of foreign language teaching, much has been done to cover various languages of the world, but attempts are constantly being made to find new solutions, taking into account the specific needs of language learners. Methodology and methods of the study . This article is based on our experience of creating and implementing distance English courses at the Siberian Institute of Management – a branch of the Russian Academy of National Economy and Public Administration, which uses distance learning and provides academic programs both traditionally and remotely. The article presents the technological aspect of the distance learning system, common to all courses and discuss the main features of teaching a foreign language. The process of developing and implementing English language courses is considered from the point of view of the overall design of the course, the choice of teaching materials, technological and pedagogical processing of course materials, the role of the teacher, support and motivation of students, assessment of academic performance, evaluation of the course and key differences between the two methods of provision that need to be taken into account. Results . The article notes shortcomings and difficulties of a technological and pedagogical nature, as well as problems and new steps in improving English language courses. Conclusions . In conclusion, the complexity of the related technological, organizational and, no less importantly, pedagogical problems is emphasized, but we also hope to provide a reliable starting point for more ambitious projects related to distance learning and teaching foreign languages.
The role of technical university in the system of schoolchildren additional education in technical directions

Introduction . Additional education for high school students is considered as an integral part of the sustainable education system. In addition, during the school years there is a period of professional self-determination, so students have an increased interest in classes, which allows them to decide on their future specialty and prepare for admission to university. Purpose setting . To explore the role of a technical university in additional education for high school students in mathematics and computer science and show the priority areas of work of the university with schoolchildren. Methodology and methods of the study . The scientific research is based on legislative and regulatory documents, publications of domestic specialists and personal experience of the authors on extended school studies at the Novosibirsk State Technical University. Results . Additional education is considered from the point of view of the implementation of career guidance for students by a technical university. It is shown that universities play an important role in the scientific and methodological support and staff maintenance of additional education of schoolchildren in the technical direction of training. Based on the results of the analysis of a survey of students and their parents is shown that the participation of students in additional classes increases their self-esteem, which is objectively manifested in the growth of motivation in the study of mathematics and computer science at school, in achievements at conferences of various levels, in the choice of technical specialties. All students attending classes as part of additional education entered technical universities, moreover, none of the guys changed their decision to become a technical specialist. Conclusions . The specificity of additional education allows a technical university toeffectively participate in the system of additional mathematical training of schoolchildren, identify talented students, increase their interest in technical sciences and engage them as applicants to technical universities.
Digitalization, communication and consumer culture

Introduction . The main idea of the article is the transformation of communication processes and consumer culture in the process of digitalization. Purpose setting . A special place is occupied by the problems of communication innovations, the cultural dynamics of prosumerism, as well as the communication strategies used by manufacturers. The key aspect of this discourse is full digitalization of society and its infiltration in the different spheres of human life. Methodology and methods of the study . The article substantiates the position that not only the technological factor affects the system of consumer views, but the philosophy of consumption is undergoing transformation along with changing patterns of consumption in society. Results . Modern communications and community values have played an equally significant role in the formation of a new market for goods and services. Conclusions . Modern communications influence on society, revealing a completely new type of consumer with new forms of attitude and idea of things and values, which affect the representation of goods and services on the market.
The Investigation of Students' Writing Skills in Learning English as a Second Language in Indonesia

&lt;p style="text-align: justify;"&gt;Implementing an English curriculum, especially one from outside Indonesia, is risky. Some schools produce positive outcomes, while others produce the opposite. This study aims to evaluate the difficulties of learning English from writing abilities using the Cambridge Curriculum in Indonesia. This study employed a qualitative approach that included interviews with students, school administrators, English instructors, and curriculum coordinators (n = 7) and documentation and observation, which served as data validation instruments. The results of the study indicate that, of the four language skills: reading, writing, speaking, and listening, the scores for reading and writing skills were not as predicted. The maximum score for Cambridge English was 6, and of the two skills measured, notably writing, the score was 3. This conclusion highlights the need to prepare English teacher credentials per Cambridge standards. This research has consequences for the design of learning English, which can help students improve their writing skills to meet Cambridge's maximum grade criteria.&lt;/p&gt;
Manifestations of ego states in the student's educational activity and their interrelation with academic motivation

Introduction . In psychological and pedagogical studies devoted to the study of the subject of educational activity, the general psychological principle of the subject's multiplicity is insufficiently implemented. In order to implement this general principle, it is necessary to develop more specific theoretical constructs that would make it possible to concretize this principle to empirical research. As such a construct, the concept of ego states can act as a form of manifestation of the subject in educational activity. Purpose setting . The goal of the study is to identify the specifics of the manifestations of ego states in the educational activities of students and to establish the relationship of these manifestations with academic motivation. Methodology and methods of the study . The sample consisted of students of various fields of study (N = 213). To study ego states in educational activities, the author»s questionnaire «Ego states in educational activities» was used. Academic motivation was assessed using the questionnaire «Scales of academic motivation» (T. O. Gordeeva, O. A. Sychev, E. N. Osin). Results . Factor analysis of the questionnaire revealed four main ego states that manifest themselves in educational activities: Adaptive and Natural Child, Parent, Adult. All four ego states positively correlate with productive forms of academic motivation and negatively with unproductive ones. Only the intensity of the ego state of an Adaptive Child correlates with introjected motivation. Conclusion . The ego state can be considered as a specific form of manifestation of the subject of educational activity and characterizes the way the student understands his experience of productive educational activity.
Volume Change Measurements Using 2D DIC System

The presented study focuses on measuring volume changes in elastomeric materials using digital image correlation (DIC), specifically the 2D DIC universal system and the 2D DIC video-extensometer directly implemented to the universal testing machine.Optical measurement methods were applied in two-dimensional (2D) configurations during the mechanical testing of dumbbell-shaped test specimens under uniaxial tension.The measured data were used to determine the dependencies of the bulk modulus and Poisson's ratio on the strain.The dependencies obtained by both methods correspond to the model behavior of rubberlike materials.Compared to the 2D DIC implemented video-extensometer, the 2D DIC universal system provides a tool for measuring transverse and longitudinal strain, and a wide range of post-processing options, including change of the input parameters, settings, or calculation relations.
A robust head MRI/CT background removing approach using dynamic morphological operations

The objective of the work is to remove the CT table or other noises from Head CT/MRI images, which are often present and effectively decrease the efficiency of further intended image processing operations. At first, depending on the mass an adaptive ellipse-shaped mask is generated to segment out the Region of interest (ROI) area. Then an initial head mask has been generated using iterative morphology. Finally, head mask boundary coordinates are corrected accordingly to fully cover the head portion. The result section shows that the proposed method is more effective on normal brain MRI than skull stripped MRIs. The proposed method performs well in comparison with static morphology-based methods. For MRI with skull images, the score is 97.03% and for skull stripped MRI images the score is about 91%. In the case of brain CT, the proposed method achieved almost 90% Jaccard coefficient similarity index value. These results prove the efficiency and accuracy of the proposed method the results are compared with the existing well-known methods of Atkins et al. (IEEE Trans Med Imaging, 17(1), 98–107, https://doi.org/10.1109/42.668699 , 1998), Liu et al. (EURASIP J Image Video Process, 2017(1), https://doi.org/10.1186/s13640-017-0209-y , 2017), Mol et al. (IOP Conf Ser Mater Sci Eng 396, 012039, https://doi.org/10.1088/1757-899x/396/1/012039 , 2018), Chen et al. (Real-time patient table removal in CT images. Health Information Science, pp 1–8, Springer, https://doi.org/10.1007/978-3-319-48335-1_1 , 2016) and Maureenvan Eijnatten et al. (Comput Methods Progr Biomed 208, 106261, https://doi.org/10.1016/j.cmpb.2021.106261 , 2021). The proposed method can remove any kind of background noises from both CT and MRI images. Here, the value of morphological operators is determined dynamically through iteration. Moreover, this work proposed a novel CT patient table removing approach from Brain CT images often are undesirable part of the medical image.
Power Distribution of Codes with the Lowest Alphabet Redundancy Depending on the Number of Bits and Code Distance

Purpose: To investigate the dependence of the maximum power of codes on the number of digits and the minimum code distance; to find an approach to determine the optimal rules for constructing the check vector of a separable code from the point of view of ensuring minimal redundancy with a given reliability of message transmission. Methods: Computer simulation has been used to conduct experimental studies. For theoretical studies, the method of analytical review, graph theory, and coding theory have been applied. Results: Theoretical and experimental studies have obtained certain specific cases of power distribution for code alphabets with a given Hamming distance for various constant lengths, generated using the previously described algorithm. A method for doubling the power of arbitrary binary codes is proposed and described, as well as a method for obtaining codes with the least redundancy of powers M=2f, where f is a natural number for a predetermined minimum code distance by recursively using the method proposed in the article. Practical significance: An algorithm has been developed for doubling the power of the code alphabet while maintaining the required reliability of data transmission. A technique for analyzing the resulting matrices of code vectors is obtained in order to determine the rules for calculating check bits without using cyclic algorithms.
A verifiable model of a minimal market operating sequentially, with price and time discrete

This research presents a minimal computational market model, i.e., a model of a trading venue, with sequential order matching, in a declarative style, and proceeds to demonstrate how some fundamental properties can be formally proved. It is a challenging task to formally certify the properties of a fundamental system in any realm of human endeavor, especially of systems with infinite state space. With the recent development of theoretical frameworks based on formal logic, it is now possible (albeit very difficult) to both formalize and reason about an object system in the same language. This research derives from the previous research presented in [1], and represents a simplification to obtain a minimal model. The computational model of a minimal market, presented here in a declarative style, is important from the perspective of both market design and verification.
Probability Density Estimation through Nonparametric Adaptive Partitioning and Stitching

We present a novel nonparametric adaptive partitioning and stitching (NAPS) algorithm to estimate a probability density function (PDF) of a single variable. Sampled data is partitioned into blocks using a branching tree algorithm that minimizes deviations from a uniform density within blocks of various sample sizes arranged in a staggered format. The block sizes are constructed to balance the load in parallel computing as the PDF for each block is independently estimated using the nonparametric maximum entropy method (NMEM) previously developed for automated high throughput analysis. Once all block PDFs are calculated, they are stitched together to provide a smooth estimate throughout the sample range. Each stitch is an averaging process over weight factors based on the estimated cumulative distribution function (CDF) and a complementary CDF that characterize how data from flanking blocks overlap. Benchmarks on synthetic data show that our PDF estimates are fast and accurate for sample sizes ranging from 29 to 227, across a diverse set of distributions that account for single and multi-modal distributions with heavy tails or singularities. We also generate estimates by replacing NMEM with kernel density estimation (KDE) within blocks. Our results indicate that NAPS(NMEM) is the best-performing method overall, while NAPS(KDE) improves estimates near boundaries compared to standard KDE.
Visual-Biased Observability Index for Camera-Based Robot Calibration

Abstract Efficient robot integration can be realized by matching real and virtual robots, and accurate robot models can be generated by kinematic parameter calibration. End-effector pose selection for pose measurement to discover the positioning errors is critical in kinematic parameter calibration. Ideal pose selection maximizes calibration accuracy for a defined measurement uncertainty and optimizes measurement cost and utility. In the design of the pose selection process, observability indices are widely accepted criteria for effective pose selection to evaluate calibration performance. Observability indices represent the effect of uncertainty in the measured end-effector poses on the calibrated parameters. However, unlike expensive direct measurement using laser, low-cost camera-based kinematic calibration estimates the end-effector poses from the marker points in the captured image. The variance of the detected marker positions biases the end-effector poses and, eventually, the calibrated parameters. Therefore, this study proposes extended observability indices for pose selection based on this bias to realize accurate calibration with a low-cost camera. The target observability index is O1, a scale-free, reliable index used in kinematic calibration. Considering the visual bias, we extended it as Ov1. This study evaluated Ov1 by comparing the positioning accuracies calibrated on poses selected by maximizing it, original O1, O3 known as the best criterion to restrain the end-effector positioning uncertainty, and Ov3, which is the extended O3 for consistency. A ball-bar test showed that the poses selected by the index Ov1 exhibited higher positioning accuracy than the other indices.
Utilization of chemostratigraphy to the subregional scale correlation of Permo–Carboniferous sediments, eastern Saudi Arabia

The following chemostratigraphy study was completed on the Permo–Carboniferous Unayzah Group in Eastern Saudi Arabia. The aim of the study was to determine whether the technique could be used to identify formation and member boundaries on a subregional scale, with the area extending for c. 550 km in a NW–SE direction and 350 km NE–SW. A total of 30 375 core and cuttings samples were analysed from 225 wells using ICP (Inductively Coupled Plasma) and XRF (X-ray Fluorescence) instruments, with data acquired for 42–53 elements for each sample in the range Na-U in the periodic table. Of these, details of 14 wells are discussed in the present work. Based on variations in Zr/Ti, Zr/U, Zr/Y, Y/U, U/Th, Gd/Zr, Nb/Yb and Nb/Th it is possible to identify a hierarchical order of one zone, four subzones and five divisions, these chemozones being correlative on a subregional scale. By comparing geochemical, biostratigraphic, sedimentological and wireline log data in selected reference wells, it was possible to relate chemozones to particular members of the Unayzah Group. The differences in geochemistry between these chemozones/members is largely explained by changes in provenance, though depositional environment may have exerted at least some influence.