Reviewerly/exHarmony huggingface dataset:
Integration of Professional-Practical Aspects and Value-Semantic Aspects of the Educational Ideal of Homo Innovaticus While Training Innovative Engineers

Commitment to innovative economy sets a task for higher engineering education to find ways of training the so-called ‘innovative engineers’ possessing a high innovative potential. This implies that the modern educational ideal for higher engineering education should be homo innovaticus (innovative person). Following the idea of a humanitarian understanding of the ‘innovative development of society’, the author proves that innovation should be understood not only in the professional and practical but also in the spiritual (cultural) sense. Innovative development of society in the conventional sense is an imperative that ensures the physical survival of mankind, while to ensure ‘the spiritual survival of mankind’, it is equally important to build a society capable of opposing spiritual impoverishment of people, destruction of their values and moral standards. In their professional activities, innovative engineers must be able to maintain a balance between the values that ensure technological progress and those that ensure preservation of universal and native cultures. For this purpose, in the process of engineering education, it is necessary to develop the university graduates’ ability to comprehend humanity and sociality, bridging the gap between humanitarian and technical culture and eliminating traditional dehumanization of engineering and technical education. The paper proves that professional and practical aspects of homo innovaticus as an educational ideal should be integrated with its value-semantic aspects. The author proposes ways of introducing value-semantic components into the contents of training innovative engineers at technical universities.
A METHOD OF THE TRANSMITTED BLOCKS INFORMATION INTEGRITY CONTROL

Context. For the proper operation of the hardware and software systems, it is necessary that the hardware component receives data only from the corresponding software. Otherwise, the data received from extraneous programs that can be perceived and processed by the device, which can lead to errors in the operation of the device or even a complete loss of its functionality or data. Objective. In order to increase the reliability of legal software data and identify the challenges of the transfer of blocks, this article focuses on a comprehensive study of the problems arising from the transmission of information in the form of separate data blocks. Method. The methods of integrity control in modes of transmission are described. The method based on hashes and block delivery time is analyzed in detail, analysis the methods of reducing the probability of errors occurring in the receiver and the possibility of reducing the reception of the extraneous blocks when receiving individual blocks of information. This is done by using a set of mathematical equations. And measure the extent of the effect of intensity of receiving extraneous blocks and hash field length.Results. In the process of analyzing systems in which information is transmitted by block, when using the method of formation of information chains based on the method the hashes and the delivery time of the block, where we note, when the value of the hash field is equal to 6 or more, the probability of occurrence of duplicate branches is acceptably low. Where, when hash field more then 6, the parameter of length of a chain practically does not affect the final probability of constructing a chain from the extraneous blocks. The very same value of the probability of constructing a false chain, the length exceeding the chain of legal blocks at hash field more 6 is about1 10–3, which it’s acceptable for real information transmission systems.Conclusions. Based on the analysis, we can conclude that in systems in which information is transmitted block by block, when using the method of generating information chains based on the hash and block arrival time, with a hash field of 6 or more, the probability of occurrence of duplicate branches is acceptably low.
TAIP: an anytime algorithm for allocating student teams to internship programs

In scenarios that require teamwork, we usually have at hand a variety of specific tasks, for which we need to form a team in order to carry out each one. Here we target the problem of matching teams with tasks within the context of education, and specifically in the context of forming teams of students and allocating them to internship programs. First we provide a formalization of the Team Allocation for Internship Programs Problem, and show the computational hardness of solving it optimally. Thereafter, we propose TAIP, a heuristic algorithm that generates an initial team allocation which later on attempts to improve in an iterative process. Moreover, we conduct a systematic evaluation to show that TAIP reaches optimality, and outperforms CPLEX in terms of time.
A Student Compliance Intention Model for Quality Assurance in Higher Education Institutes

The phenomenon of neoliberalism in HEI has forced University to conduct various improvement in QA to increasing quality.Enhance stakeholder involvement is case of good QA practices.Including student can be advantage to QA process.Student participation in QA activities impacts the quality of higher education.During this time, research in QA has focused on making standards, whereas research focuses on compliance with standards is little.Therefore, this research focuses on compliance toward standard in QA.However, while creating standards is a significant starting point, but it is not enough.It should be to guarantee student compliance with standards.An analyzing of what factors motivate student to comply with standard can help QA process in HEI.
Library Guides: Virtual Library Orientation: Welcome to MSU Library

Welcome new students! Here is an overview of MSU Library - your resource for all of your information needs.
The solution of Opioid Flood Problem Based on Big Data Model

Aiming at the problem of the drug epidemic in America, we put forward a model of drug epidemic spread.This paper determines the various reasons leading to the current situation, to formulate corresponding effective solutions.This model drew lessons from the spread of the infectious disease model and considering the drug flooding degree affected by time and distance in five states, the drug flood model of the five states is obtained through mathematical analysis.We first make time prediction and then select an appropriate mathematical model for data fitting to determine the parameters.To determine which state and where started the drug epidemic in the first place, we used Python to make a rendering of the drug epidemic degree in each county, so that the drug abuse situation in all counties of the five states could be reflected.When determining the threshold level of drugs, we conducted cluster analysis on drug categories, classified drugs, analyzed charts, determined the drugs with the most significant weight, established the confidence interval and then determined the drug threshold.The model established is used to analyze the influencing factors in combination with the existing policies of the United States to curb the drug epidemic.Some reasonable Suggestions are put forward to curb the drug epidemic.
Bridging the gap between Natural and Medical Images through Deep Colorization

Deep learning has thrived by training on large-scale datasets. However, in many applications, as for medical image diagnosis, getting massive amount of data is still prohibitive due to privacy, lack of acquisition homogeneity and annotation cost. In this scenario, transfer learning from natural image collections is a standard practice that attempts to tackle shape, texture and color discrepancies all at once through pretrained model fine-tuning. In this work, we propose to disentangle those challenges and design a dedicated network module that focuses on color adaptation. We combine learning from scratch of the color module with transfer learning of different classification backbones, obtaining an end-to-end, easy-to-train architecture for diagnostic image recognition on X-ray images. Extensive experiments showed how our approach is particularly efficient in case of data scarcity and provides a new path for further transferring the learned color information across multiple medical datasets.
Verification of coherence with the national curriculum and test usefulness of the Korea National Police University and the Korea Military Academy’s English entrance exams

The purpose of this study is to investigate the components of the English entrance exams of the Korea Military Academy and the Korea National Police University in relation to the literature of the national curriculum and test usefulness. In this study, English entrance exam samples from 2017 to 2019 were selected. Their coherence with the national curriculum was examined, and their usefulness with regard to test methodology and test content based on Bachman and Palmer’s (1996) framework of test method facets was diagnosed. Then, lexical analysis borrowed from corpus linguistics was conducted. Finally, the exams were analyzed in terms of readability. The results show that the exams do not faithfully reflect the national curriculum and many qualities of test usefulness were revealed to not have been successfully applied. Also, the vocabulary and readability analysis showed that the two tests were not appropriate for Korean high school students. As a result, the two entrance exams proved problematic in terms of reliability, validity, authenticity and practicality. Suggestions are made on the basis of the results for the improvement of the tests.
Effect of Employee Motivation on Job Performance: In Case of Fiche General Hospital

This study had a major objective to investigate the effect of employee motivation on their job performance Fiche General hospital.It also intended to evaluate employee level of motivational and their level of job performance.In order to meet this objective the researcher has used simple random sampling techniques; in which data were collected from 179 participants out of 351, using likert scale questionnaires.Data has been analyzed in descriptive statistics to describe the level of the respective dependent and independent variable under considerations; and also correlation analysis and multiple regressions has been used to evaluate the effect of employee motivation on job performance in Fiche General Hospital.The data were analyzed using descriptive statistics (mean, and standard deviation) and inferential statistics (correlation and regression).The result of the descriptive statistics finding showed that the employee job performance has been under practiced in Fiche General Hospital.The results of inferential statistics have revealed that all motivational factors under study are positively related to employee job performance .According to this findings the employee empowerment practices is more significantly associated and impactful on employee job performance than all motivational factors under study.Therefore, the Fiche General Hospital has been suggested that more empowering their employee will better improve employee job performance.Hence, managers of Fiche General Hospital as advised to more empower their employee in the work place as motivational tool in order to enhance their job performance.
?⑤턿???몄뼱 ?댁쭏???붿씤?쇰줈?쒖쓽 ?몄뼱 ?뺤콉

This study aims to show that language purification policies are the most important factors that influence Korean language differentiation, based on...
IMUTube: Automatic Extraction of Virtual on-body Accelerometry from Video for Human Activity Recognition

The lack of large-scale, labeled data sets impedes progress in developing robust and generalized predictive models for on-body sensor-based human activity recognition (HAR). Labeled data in human activity recognition is scarce and hard to come by, as sensor data collection is expensive, and the annotation is time-consuming and error-prone. To address this problem, we introduce IMUTube, an automated processing pipeline that integrates existing computer vision and signal processing techniques to convert videos of human activity into virtual streams of IMU data. These virtual IMU streams represent accelerometry at a wide variety of locations on the human body. We show how the virtually-generated IMU data improves the performance of a variety of models on known HAR datasets. Our initial results are very promising, but the greater promise of this work lies in a collective approach by the computer vision, signal processing, and activity recognition communities to extend this work in ways that we outline. This should lead to on-body, sensor-based HAR becoming yet another success story in large-dataset breakthroughs in recognition.
Medical students’ attitudes and perceptions towards the effectiveness of mobile learning: A comparative information-need perspective

The rapid development of information and communication technologies has revolutionized the lifestyles and learning practices of the younger population worldwide. Various new mobile platforms and fo...
ISMS role in the improvement of digital forensics related process in SOC's

Organizations concerned about digital or computer forensics capability which establishes procedures and records to support a prosecution for computer crimes could benefit from implementing an ISO 27001: 2013-compliant (ISMS Information Security Management System). A certified ISMS adds credibility to information gathered in a digital forensics investigation; certification shows that the organization has an outsider which verifies that the correct procedures are in place and being followed. A certified ISMS is a valuable tool either when prosecuting an intruder or when a customer or other stakeholder seeks damages against the organization. SOC (Security Operation Center) as an organization or a security unit which handles a large volume of information requires a management complement, where ISMS would be a good choice. This idea will help finding solutions for problems related to digital forensics for non-cloud and cloud digital forensics, including Problems associated with the absence of standardization amongst different CSPs (Cloud service providers).
Identification of the Factors Affecting the Quality of Education at Secondary School Level Students in Tehsil Faisalabad

Every last individual has the fundamental right to education.Without direction no nation will be gaining ground.The training framework in Pakistan is confronting different issues now a days.It is important to analyze the factors that influence the implementation of the students, and to get low or high ratings from the students.The execution of the understudies in scholastic isn't just affected by their own attributes talented by the nature yet in addition different components are associated with these achievements.For the monetary and social improvement of the general public, it is important to give our youngsters the quality training.As of late, the majority of the endeavors have been made to look out the components that influence the student execution.Today, in the age of the revolution of globalization and development, schooling is viewed as a opener for any individual initiative.It performs as a critical act for the advancement of human cardinal and linked with an individual's contentment and convenience for better living.The purpose of0this study is0to examine and0explore those factors0that can affect0the student's education quality at secondary level.There are many reasons which effects on the student's education like personal causes, institutional causes, family causes, socio-economic causes etc.
POST-INDUSTRIAL DEVELOPMENT PERSPECTIVES OF EDUCATION

The article notes the relevance of looking out for the theoretical and methodological designs explaining the new realities in the field of education and perspectives for the development of post-industrial education in the condition of non-linearity of social life, and radical transformation of the problems faced by the people. The study of the education’s post-industrial development perspectives allowed the author to conclude that the consideration of socio-cultural factors and the convergence of education systems will become crucial in the future. The author substantiates his conclusion that the convergence of education values, the issue of forecasting and development of new complementing each other forecasting methods in education will become relevant issues in the future
Chaotic Salp Swarm Optimization Using SVM for Class Imbalance Problems

In most of the real world applications, misclassification cost of minority class samples can be very high. For high dimensional data, it will be a challenging problem as it may increase in overfitting and degradation of performance of the model. Selecting the most discriminate features is popular and recently used to address this problem. To solve class imbalance problems may optimization algorithms have been proposed in the literature. One among them is bio-inspired optimization algorithm. These algorithms are used to optimize the feature or instance selection. In this paper, a new bio-inspired algorithm called Chaotic Salp Swarm Algorithms (CSSA) were used to find the most discriminating features/attributes from the dataset. We employed 10 chaotic maps functions to assess the main parameters of salp movements. The proposed algorithm selects the important features from the dataset and it is mainly comprised of features selection phase, and classification phase. In the former phase, the most important features were selected using CSSA. Finally, the selected features from CSSA were used to train Support Vector Machine (SVM) classifier in the classification phase. Experimental results proved the ability of selecting optimal feature subset using CSSA, with accurate classification performance. Our observation on different data sets using Accuracy, F-measure, G-Mean, AUC and weighted as indicative metric provide better solution.
The Relationship between Stroke Incidence and Meteorological Factors and Predictive Model

The systematic statistical analysis of the relationship between cerebral stroke incidence and meteorological factors in this paper shows that there is a significant secondary correlation between air temperature, air pressure, relative humidity and incidence. A linear regression model and a BP artificial neural network model are established to obtain a quantitative description of the relationship between incidence and meteorological factors. Furthermore, a more accurate prediction model is designed by comparison with the actual incidence, and some recommendations are put forward for high-risk cerebral stroke.
Derajat Toksisitas Hemoglobin Pada Penderita Kanker Kolorektal Yang Mendapat Kemoterapi CapeOX

Advances in the treatment and use of chemotherapy have been shown to improve the life expectancy rate for colorectal cancer patients. Studies conducted in China and Hongkong have shown that CapeOX combination chemotherapy regimens are more commonly used than in Europe and the United States. However, the use of chemotherapy drugs containing oxaliplatin and capecitabine can cause side effects such as hematological toxicity, which is one of them is anemia. This study aims to determine the difference in the form of a decrease in the average levels of hemoglobin and the degree of hemoglobin toxicity in colorectal cancer patients undergoing CapeOX chemotherapy. The Design in this study is a historical (retrospective) cohort. This study sample was 70 colorectal cancer patients who received CapeOX chemotherapy for 6 cycles at RSUD Dr. H. Abdul Moeloek in 2018-2019. Consecutive sampling is used in the sampling method. The statistical analysis is using Paired T-Test. There is a significant difference in the average hemoglobin level of colorectal cancer patients (p-value = &lt;0.005), which receive CapeOX chemotherapy for 6 cycles. Besides, there is an increase in the number of patients who get hemoglobin toxicity and the chemotherapy cycle. In the first cycle, 59 patients (84.3%) got hemoglobin toxicity after chemotherapy, and the number continued to increase to 69 patients (98.6%) in the sixth cycle. There was a decrease in hemoglobin levels in colorectal cancer patients who received CapeOX chemotherapy with p-value = &lt;0.05 and increased patients who got hemoglobin toxicity.
Impact of Entrepreneurship Development on Sustainable Job Creation Amongst Youths in Bauchi State, Nigeria (2013-2017)

The study examines the impact of entrepreneurship development on sustainable job creation amongst youths in Bauchi State.The study which is a survey research design involved the use of both primary and secondary sources of data.Data were collected through the use of structured questionnaire and observations while the population of the study consist of 1,605 Youths entrepreneurs, government officials and other stakeholders targeted in the 20 local government areas of the State.Descriptive Statistics, Simple Percentages and Regression Analysis was used to test the formulated hypotheses in line with the objectives of the study.The major findings of the study reveals that, "several factors such as poor training, inadequate technology, unfavourable government policies and poor infrastructural facilities, as well as lack of the right business connection and inadequate funding and insecurity have significant effect on entrepreneurship and sustainable job creation which hampers on the activities of youths entrepreneurs in Bauchi State.The study found inadequate funding and technology and Insecurity with the most significant impact while infrastructural facilities and government policies were found to have exhibited the least impact.The study recommends the need for Bauchi State government to increase its effort towards meeting the training needs and improving on the security situation in the state as doing so will provide the enabling environment for entrepreneurship businesses to thrive.The study concludes that youth's unemployment has become a major issue of concern not only in Bauchi State but the country at large.The situation requires concerted efforts by individuals, Federal and States governments including stakeholder agencies towards providing a lasting solution in curbing the menace so as to guard against spread of social vices and all forms criminality in the State which is retrogressive to peaceful co-existence and economic growth and development.
재일조선인 역사 서술의 3·1운동에 대한 기억

This study reviewed the contents of memories of the March First Independence Movement through the historical narrative system of the Korean residents’ community in Japan.The description of the March...
Arbitrary single-qubit transformations on a quantum frequency processor

We numerically investigate and experimentally demonstrate arbitrary frequency-bin qubit rotations on a quantum frequency processor. We synthesize a total number of 41 gates and confirm high-fidelity state control via Bayesian tomography.