bluuebunny/crossref_metadata_2025 huggingface dataset:
Analyzing feature importance for a predictive undergraduate student dropout model
Authors: Jiménez-Macias Alberto , Moreno-Marcos Pedro , Muñoz-Merino Pedro , Ortiz-Rojas Margarita , Kloos Carlos
Published: December 2022

Worldwide, one of the main concerns of universities is to reduce the dropout rate. Several initiatives have been taken to avoid this problem; however, it is essential to recognize at-risk students as early as possible. This article is an extension of a previous study that proposed a predictive model to identify students at risk of dropout from the beginning of their university degree. The new contribution is the analysis of the feature importance for dropout segmented by faculty, degree program, and semester in the different predictive models. In addition, we propose a dropout model based on faculty characteristics to try to infer the dropout based on faculty features. We used data of 30,576 students enrolled in a Higher Education Institution ranging from years 2000 to 2020. The findings indicate that the variables related to Grade Point Average(GPA), socioeconomic factor, and a pass rate of courses taken have a more significant impact on the model, regardless of the semester, faculty, or program. Additionally, we found a significant difference in the predictive power between Science, Technology, Engineering, and Mathematics (STEM) and humanistic programs.
Homomorphic encryption based privacy-aware intelligent forwarding mechanism for NDN-VANET
Authors: Guo Xian , Wang Baobao , Jiang Yongbo , Zhang Di , Cao Laicheng
Published: December 2022

Machine learning has been widely used for intelligent forwarding strategy in Vehicular Ad-Hoc Networks (VANET). However, machine learning has serious security and privacy issues. BRFD is a smart Receiver Forwarding Decision solution based on Bayesian theory for Named Data Vehicular Ad-Hoc Networks (NDN-VANET). In BRFD, every vehicle that received an interest packet is required to make a forwarding decision according to the collected network status information. And then decides whether it will forward the received interest packet or not. Therefore, the privacy information of a vehicle can be revealed to other vehicles during information exchange of the network status. In this paper, a Privacy-Aware intelligent forwarding solution PABRFD is proposed by integrating Homomorphic Encryption (HE) into the improved BRFD. In PABRFD, a secure Bayesian classifier is used to resolve the security and privacy issues of information exchanged among vehicle nodes. We informally prove that this new scheme can satisfy security requirements and we implement our solution based on HE standard libraries CKKS and BFV. The experimental results show that PABRFD can satisfy our expected performance requirements.
TS-GCN: Aspect-level sentiment classification model for consumer reviews
Authors: Zhang Shunxiang , Zhao Tong , Wu Houyue , Zhu Guangli , Li KuanChing
Published: December 2022

The goal of aspect-level sentiment classification (ASC) task is to obtain the sentiment polarity of aspect words in the text. Most existing methods ignore the implicit aspects, resulting in low classification accuracy. To improve the accuracy, this paper proposes a classification model for consumer reviews, abbreviated as TS-GCN (Truncated history attention and Selective transformation network-Graph Convolutional Networks). TS-GCN can classify sentiment from both explicit and implicit aspects. Firstly, we process the text by the BERT model and the BiLSTM model to obtain the text features. Secondly, the GCN model completes explicit sentiment classification by training text features. Due to the lack of implicit words, the GCN model cannot classify implicit sentiments. Finally, we predict implicit words based on the TS model, which makes up for the deficiency of the GCN model and completes the sentiment classification of implicit words. TS-GCN is proved on several datasets in the consumer reviews field. The results of experiments show that the TS-GCN can improve the accuracy and F1 of ASC.
Sternum age estimation with dual channel fusion CNN model
Authors: Türk Fuat , Kaya Mustafa , Akhan Burak , Çayiröz Sümeyra , Ilgit Erhan
Published: December 2022

Although age determination by radiographs of the hand and wrist before the age of 18 is an area where there is a lot of radiological knowledge and many studies are carried out, studies on age determination for adults are limited. Studies on adult age determination through sternum multidetector computed tomography (MDCT) images using artificial intelligence algorithms are much fewer. The reason for the very few studies on adult age determination is that most of the changes observed in the human skeleton with age are outside the limits of what can be perceived by the human eye. In this context, with the dual-channel Convolutional Neural Network (CNN) we developed, we were able to predict the age groups defined as 20-35, 35-50, 51-65, and over 65 with 73% accuracy over sternum MDCT images. Our study shows that fusion modeling with dual-channel convolutional neural networks and using more than one image from the same patient is more successful. Fusion models will make adult age determination, which is often a problem in forensic medicine, more accurate.
Coping with unemployment in COVID-19: The role of employability beliefs in exploration self-efficacy
Authors: do Céu Taveira Maria , Silva Ana Daniela , Pereira Soraia
Published: December 2022

The new coronavirus global pandemic has caused accelerated and emerging changes in the labor market, including increased unemployment. We examined the associations between employability beliefs and career exploration self-efficacy of 1585 unemployed adult workers, in Portugal, who lost their job after COVID-19. Participants completed measures of employability beliefs consistent with striving, proactivity, flexibility, acceptance of challenges, optimism and autonomy dispositions, and of career exploration self-efficacy. Using multiple linear regression analyses, we found that employability dispositional beliefs established significant positive associations with career exploration self-efficacy, especially autonomy, striving and optimism. Implications of these findings for future research and practice are considered.
Real-world data of cardiotoxicity during long-term therapy with trastuzumab in human epidermal growth factor receptor-2-positive metastatic breast cancer
Authors: Iljovska Marina , Lazareva Emilija , Smichkoska Snezhana , Klisarovska Violeta , Stojkovski Igor , Petkovska Gordana , Mitreski Nenad
Published: December 2022

Introduction/Objective. This study aims to investigate the cardiotoxicity of long-term therapy with trastuzumab in patients with HER-2-positive metastatic breast cancer. Methods. A total of 48 patients with metastatic HER-2-positive breast cancer were analyzed. The patients received long-term trastuzumab (time of application was longer than 20 months). The analyzed characteristics of the patients were the following: age, initial stage of the disease, application of anti-HER-2 therapy and anthracyclines in the adjuvant setting, the number and type of applied systemic therapies concomitant with trastuzumab in the metastatic setting. Cardiac toxicity was assessed using left ventricular ejection fraction (LVEF) values at three time-points: at the beginning, in the middle, and at the end of treatment period for each patient separately. Results. In 17 (35.4%) patients the trastuzumab treatment was temporary discontinued. The average time of trastuzumab therapy interval was 52.2 ? 23.5 months. The mean LVEF values were 66.73 ? 7.02%, 64.62 ? 5.7%, and 63.44 ? 6.1%, respectively. The mean values of LVEF differed significantly in the three observed time-points (F = 4.9 p = 0.009). Post hoc pairwise comparison, using Bonferroni correction, confirmed significantly lower mean LVEF values at the end point (at the end of treatment) compared with the mean LVEF values at the beginning of anti-HER-2 treatment (p = 0.019), but within the reference range of LVEF ? 50%. Conclusion. The data confirm good safety profile of long-term trastuzumab therapy in HER-2 positive metastatic breast cancer patients considering cardiotoxicity.
Lower Hepatic Fat Is Associated With Improved Insulin Secretion in a High-Risk Prediabetes Subphenotype During Lifestyle Intervention
Authors: Wagner Robert , Heni Martin , Kantartzis Konstantinos , Sandforth Arvid , Machann Jürgen , Schick Fritz , Peter Andreas , Fritsche Louise , Szendrödi Julia , Pfeiffer Andreas F.H. , Schürmann Annette , Blüher Matthias , Hauner Hans , Seissler Jochen , Bornstein Stefan , Roden Michael , Stefan Norbert , Birkenfeld Andreas L. , White Morris F. , Häring Hans-Ulrich , Fritsche Andreas
Published: December 2022

The objective of this work was to investigate whether impaired insulin secretion can be restored by lifestyle intervention in specific subphenotypes of prediabetes. We assigned 1,045 participants from the Prediabetes Lifestyle Intervention Study (PLIS) to six recently established prediabetes clusters. Insulin secretion was assessed by a C-peptide–based index derived from oral glucose tolerance tests and modeled from three time points during a 1-year intervention. We also analyzed the change of glycemia, insulin sensitivity, and liver fat. All prediabetes high-risk clusters (cluster 3, 5, and 6) had improved glycemic traits during the lifestyle intervention, whereas insulin secretion only increased in clusters 3 and 5 (P < 0.001); however, high liver fat in cluster 5 was associated with a failure to improve insulin secretion (Pinteraction < 0.001). Thus, interventions to reduce liver fat have the potential to improve insulin secretion in a defined subgroup of prediabetes.
Concomitant Use of Sulfonylureas and β-Blockers and the Risk of Severe Hypoglycemia Among Patients With Type 2 Diabetes: A Population-Based Cohort Study
Authors: Dimakos Jenny , Cui Ying , Platt Robert W. , Renoux Christel , Filion Kristian B. , Douros Antonios
Published: December 2022

OBJECTIVE

The hypoglycemic potential of β-blockers among users of sulfonylureas, drugs that strongly increase the risk of this potentially fatal adverse effect, is not well understood. Our population-based cohort study assessed the potential association between concomitant use of sulfonylureas and β-blockers versus use of sulfonylureas alone and the risk of severe hypoglycemia.

RESEARCH DESIGN AND METHODS

Using the U.K. Clinical Practice Research Datalink Aurum, we included patients initiating sulfonylureas between 1998 and 2020, excluding those with β-blocker use in the past 6 months. Time-dependent Cox models estimated hazard ratios (HRs) with 95% CIs of severe hypoglycemia (hospitalization with or death resulting from hypoglycemia; ICD-10 codes E16.0, E16.1, and E16.2) associated with current concomitant use of sulfonylureas and β-blockers compared with current sulfonylurea use alone, adjusted for baseline confounders. We also compared current concomitant use of sulfonylureas and non-cardioselective versus cardioselective β-blockers.

RESULTS

Our cohort included 252,869 initiators of sulfonylureas (mean age 61.3 years; 43% female). Median follow-up was 7.9 years. The crude incidence rate of severe hypoglycemia was 7.8 per 1,000 per year. Concomitant use of sulfonylureas and β-blockers was associated with an increased risk of severe hypoglycemia compared with sulfonylurea use alone (HR 1.53; 95% CI 1.42–1.65). There was no difference in the risk between concomitant use of sulfonylureas and noncardioselective β-blockers and concomitant use of sulfonylureas and cardioselective β-blockers (HR 0.95; 95% CI 0.74–1.24).

CONCLUSIONS

β-blockers could further increase the risk of severe hypoglycemia when used concurrently with sulfonylureas. β-blocker cardioselectivity did not seem to play a major role in this regard.
Identification of genetic variation influencing metformin response in a multi-ancestry genome-wide association study in the Diabetes Prevention Program (DPP)
Authors: Li Josephine , Perry James A. , Jablonski Kathleen A. , Srinivasan Shylaja , Chen Ling , Todd Jennifer N. , Harden Maegan , Mercader Josep M. , Pan Qing , Dawed Adem Y. , Yee Sook Wah , Pearson Ewan R. , Giacomini Kathleen M. , Giri Ayush , Hung Adriana M. , Xiao Shujie , Williams L. Keoki , Franks Paul W. , Hanson Robert L. , Kahn Steven E. , Knowler William C. , Pollin Toni I. , Florez Jose C. , Group Diabetes Prevention Program Research
Published: December 2022

Genome-wide significant loci for metformin response in type 2 diabetes reported elsewhere have not replicated in the Diabetes Prevention Program (DPP). To assess pharmacogenetic interactions in pre-diabetes, we conducted a genome-wide association study (GWAS) in the DPP. Cox proportional hazards models tested associations with diabetes incidence in metformin (MET, n=876) and placebo (PBO, n=887) arms. Multiple linear regression assessed association with one-year change in metformin-related quantitative traits, adjusted for baseline trait, age, sex, and 10 ancestry principal components. We tested for gene-by-treatment interaction. No significant associations emerged for diabetes incidence. We identified four genome-wide significant variants after correcting for correlated traits (p<9×10-9). In MET, rs144322333 near ENOSF1 (minor allele frequency [MAF]AFR=0.07, MAFEUR=0.002) was associated with an increase in % glycated hemoglobin (per minor allele β=0.39 [95% CI 0.28, 0.50], p=2.8×10-12). Rs145591055 near OMSR (MAF=0.10 in American Indians), was associated with weight loss (kg) (per G allele β=-7.55 [95% CI -9.88, -5.22], p=3.2×10-10) in MET. Neither variant was significant in PBO; gene-by-treatment interaction was significant for both variants (p(G×T)<1.0×10-4). Replication in individuals with diabetes did not yield significant findings. A GWAS for metformin response in pre-diabetes revealed novel ethnic-specific associations that require further investigation but may have implications for tailored therapy.

 
Short-term Electric Energy Load Forecasting of Ankara Region Using Artificial İntelligence Methods
Authors: AKMAN Tuğba , YILMAZ Cemal , SÖNMEZ Yusuf
Published: December 2022

While energy, which is an indispensable part of everyday life, maintains its importance and place in socio-economic structures of countries, importance of electricity energy, as an important component of energy, is increasing its gravity exponentially. Importance of electricity energy demand maintains its increasing trend in line with growing population, urbanization, industrialization, becoming widespread of technology and welfare. While meeting electricity energy demand, correct and effective load forecasting is needed in order to ensure operational safety without losing the stability of voltage, frequency and power flows within the limits determined under the real time conditions of electric power systems, operate and plan secure and low-cost electricity transmission systems and supply sustainable, reliable, high quality and affordable electricity to consumers. In recent years, use of the artificial intelligence models are quite common in many areas of the power system analysis and control, static and dynamic security analysis, dynamic load modelling and alarm processing and error diagnostics. Therefore, in this study, hybrid artificial neural network model optimized with genetic algorithm has been proposed to perform short-term load forecast since fairly good forecasting results are being obtained especially for non-linear complex problems. The proposed short-term load forecasting model has been tested by making 24 hours load forecasting using actual load data of Ankara Region in Turkey. The results obtained from the proposed model have been compared with classical ANN. In this study, for short-term electric load forecasting based on artificial neural networks and genetic algorithm an adaptive hybrid system has been proposed. Using artificial neural network based on Genetic Algorithm (GA) a new approach for short-term electric load forecasting has been developed. This proposed hybrid algorithm has been implemented for short-term load forecasting. In the proposed model, the actual forecast was made by ANN, Genetic Algorithm is used to select the most appropriate activation function for each node of ANN. Thus, it has been observed that network error decreased even more than classical ANN. The results show that hybrid ANN gives better result than classical ANN. So, the accuracy of the proposed model for short-term load forecasting has been increased. These results showed that the proposed model has a higher accuracy rate than the classical ANN in the short-term load forecasting.
Six Minutes Walking in Polio Survivors: Effects on Fatigue and Walking Adaptability
Authors: Tuijtelaars Jana , Keller Max , Nollet Frans , Brehm Merel-Anne , Van Dieën Jaap , Roerdink Melvyn
Published: December 2022

Objective: To investigate whether 6-min walking is fatiguing for polio survivors, and how fatigue influences their normal and adaptive walking.Design: Cross-sectional study.Patients: Polio survivors (n = 23) with ≥ 1 fall and/or fear of falling reported in the previous year and healthy individuals (n = 11).Methods: Participants performed 1 normal-walk test and 2 walking-adaptability tests (target stepping and narrow-beam walking) on an instrumented treadmill at fixed self-selected speed, each test lasting 6 min. Leg-muscle fatigue (leg-muscle activation, measured with surface electromyography), cardiorespiratory fatigue (heart rate, rate of perceived exertion), gait and walking-adaptability performance were assessed. The study compared: (i) the first and last minute per test, (ii) normal and adaptive walking, and (iii) groups.Results: Leg-muscle activation did not change during normal walking (p > 0.546), but declined over time during adaptive walking, especially in polio survivors (p < 0.030). Cardiorespiratory fatigue increased during all tests (p < 0.001), especially in polio survivors (p < 0.01), and was higher during adaptive than normal walking (p < 0.007). Target-stepping performance declined in both groups (p = 0.007), while narrow-beam walking improved in healthy individuals (p < 0.001) and declined in polio survivors (p < 0.001).Conclusion: Cardiorespiratory fatigue might further degrade walking adaptability, especially among polio survivors during narrow-beam walking. This might increase the risk of falls among polio survivors.
LAY ABSTRACTThis study investigated whether prolonged walking is fatiguing for polio survivors and how this affects their ability to adapt walking to environmental circumstances (i.e. walking adaptability), which is an important skill for safe daily-life walking. A total of 23 polio survivors and 11 healthy individuals performed 1 normal-walk test and 2 walking-adaptability tests. To assess fatigue, leg-muscle activation, heart rate and rate of perceived exertion were measured. In addition, gait and walking-adaptability outcomes were assessed. The first and last minute per test, normal and adaptive walking, and groups were compared. Based on higher leg-muscle activation, heart rate and rate of perceived exertion, the study concluded that 6-min walking was more fatiguing for polio survivors than for healthy individuals and that adaptive walking was more fatiguing than normal walking, especially in polio survivors. Walking- induced fatigue further limits walking adaptability among polio survivors, which could increase their fall risk.
Video Pembelajaran Berbasis Lingkungan Dalam Pembelajaran IPA Kelas IV SD
Authors: Komang Rizky Aditya Wiguna  , Ndara Tanggu Renda  , Kadek Yudiana
Published: December 2022

Saat ini banyak guru yang hanya mengandalkan gambar pada buku dalam pembelajaran IPA. Hal ini membuat siswa sulit memahami pelajaran. Oleh karena itu diperlukan pengembangan media pembelajaran yang mampu membantu pemahaman siswa. Penelitian ini bertujuan untuk mengembangkan media video pembelajaran berbasis lingkungan rumah sekitar muatan IPA tema 4 SD.  Rancangan penelitian yang akan digunakan adalah penelitian pengembangan model ADDIE. Subjek penelitian ini adalah video pembelajaran berbasis lingkungan rumah sekitar tema 4. Data video pembelajaran berbasis lingkungan rumah sekitar tema 4 dikumpulkan dengan menggunakan angket. Data dianalisis dengan menggunakan uji validitas. Berdasarkan hasil evaluasi dari (1) ahli materi diperoleh persentase tingkat pencapaian yaitu 92 % yang berada pada kualifikasi sangat baik, (2) ahli media pembelajaran diperoleh persentase tingkat pencapaian yaitu 96 % dan berada pada kualifikasi baik, (3) uji coba perorangan diperoleh persentase tingkat pencapaian dari guru yaitu 96 % dan berada pada kualifikasi sangat baik. Penggunaan modul yang dikembangkan efektif digunakan untuk mendukung pembelajaran berbasis lingkungan rumah sekitar tema 4.
INTERPOLATION OF TABULAR FUNCTIONS FROM ONE INDEPENDENT VARIABLE USING THE TAYLOR POLYNOMIAL
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Hrytsiuk Yu. I. , Tushnytskyi R. B. ,   Lviv Polytechnic National University, Lviv, Ukraine
Published: December 2022

A method of local interpolation of tabular functions from one independent variable using the Taylor polynomial of the nth degree in arbitrarily located interpolation nodes has been developed. This makes it possible to calculate intermediate values of tabular functions between interpolation nodes. The conducted analysis of the latest research and publications in the field of interpolation of tabular functions showed that the main part of the research is a strict theory of interpolation, i.e. clarification of its fundamental mathematical provisions. Some features of the interpolation of tabular functions from one independent variable using the Taylor polynomial of the nth degree are considered, namely: the solution algorithm and mathematical formulation of the interpolation problem are given; its formalized notation is given, as well as the matrix notation of interpolation procedures for certain values of the argument. A scalar algorithm for solving the problem of interpolation of tabular functions from one independent variable using the Taylor polynomial of the 2nd, 3rd, and 4th degrees has been developed. The simplicity and clarity of this algorithm is one of its advantages, but the algorithm is inconvenient for software implementation. The mathematical formulation of the problem of interpolation of tabular functions in terms of matrix algebra is given. The interpolation task is reduced to performing the following actions: based on the values of nodal points known from the table, it is necessary to calculate the Taylor matrix of the nth degree; based on the function values specified in the table a column vector of interpolation nodes should be formed; solve a linear system of algebraic equations, the root of which is the numerical coefficients of the Taylor polynomial of the nth degree. A method of calculating the coefficients of the interpolant, given by the Taylor polynomial of the nth degree for one independent variable has been developed. The essence of the method reduces to the product of the matrix, inverse of the Taylor matrix, which is determined by the nodal points of the tabular function, by a column vector containing the values of the interpolation nodes. Specific examples demonstrate the peculiarities of calculating the interpolant coefficients of the 2nd, 3rd and 4th degrees for one independent variable, and for each of them the interpolated value of the function at a given point is calculated. Calculations were performed in the Excel environment, which by analogy can be successfully implemented in any other computing environment.
DEVELOPMENT OF THE ACCELERATION MEASURING METHOD
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Teslyuk V. M. , Zaharyuk R. V. ,   N-iX – Software Development Company, Lviv, Ukraine, Ivantsiv R. D. ,   Lviv Polytechnic National University, Lviv, Ukraine, Seneta M. Ya. ,   Lviv Polytechnic National University, Lviv, Ukraine, Tkachuk K. I. ,   Lviv Polytechnic National University, Lviv, Ukraine, Koval A. V. ,   Lviv Polytechnic National University, Lviv, Ukraine
Published: December 2022

The existing acceleration measuring methods are analyzed in the article. An overview of modern research on this topic is also provided. A new method of measuring acceleration in the form of an electrical circuit using a stable frequency generator is developed. Among the already known methods, the following three groups are highlighted in the analysis: methods based on compensatory accelerometers with discrete output; methods based on accelerometers with the analog-to-digital converter; measurement techniques, which use mounted elements. The main difference between the proposed method and the existing ones is the use of circuits of two resonant circles with built-in capacitance sensors, developed according to microelectromechanical system technologies. The principle of operation of the acceleration measuring device is described in the article, and its structural diagrams are provided. The peculiarities of the functioning of its components are analyzed. The main advantages of using the proposed method are highlighted. It is described the technical difference of this method from those already implemented ones, which also lies in the presence of an additional transformer. Based on the proposed method of measuring acceleration in the form of an electrical circuit, the operating frequency characteristics of the device are investigated. The stages of conversion of accelerometer signals are described in the article as well as the forms of input and output signals. The use of two resonant circles within built capacity sensors and the stable frequencies generator in the scheme of acceleration measuring device allows for measurement of the frequency characteristics changes in resonant circuits with minimum capacity changes in sensors. The resulting frequency value is linear in the range of the accelerometer frequency due to the frequency characteristics of the first and second resonance circles, which are reversed and symmetrical about the horizontal axis. A feature of the developed new measurement method is the possibility of using this scheme at very low input voltages. Due to the proposed method, it is possible to increase the accuracy of acceleration measurement and expand the working capabilities of the device. In its turn, it allows applying this device in vibration and position variation conditions.
MULTI-THREAD PARALLELIZING OF CELL CHARACTERISTICS OF BIOMEDICAL IMAGES
Authors:   West Ukrainian National University, Ternopil, Ukraine, Pitsun O. Yo.
Published: December 2022

An approach to the parallelization of the process of calculating the quantitative characteristics of cell nuclei on biomedical images (cytological, histological, immunohistochemical) is proposed, which will speed up the process of making a diagnosis. The relevance of this task lies in the fact that there are a large number of micro-objects in the image that need to be investigated, and optimization of time and rational distribution of resources will speed up the stage of calculating the area of cell nuclei and their average brightness level. In the future, these data are stored in the database for further use as a dataset for the tasks of classification, clustering, and intellectual analysis. Modern means of data classification and intellectual analysis are used to make a diagnosis. When using convolutional neural networks, the input data to the classifier are images in the format .jpg, .png, .bmp, etc. Alternative algorithms and data processing tools in most cases require quantitative characteristics. In the case of using biomedical images, the quantitative characteristics are the area, perimeter, circumference, length, and major and lateral axes of the cell nucleus. The area and other characteristics of cell nuclei characterize the normal state or the presence of pathologies. Calculating quantitative characteristics on immunohistochemical and cytological images is time-consuming because the number of cell nuclei in one image can be in the range of 10-20 units. To create a dataset of quantitative characteristics of cell nuclei, it is necessary to perform calculations on a large number of images, which in turn requires significant resources, at a particular time. The parallelization of calculating the biomedical image characteristics is implemented on the basis of computer vision algorithms to select the necessary objects and means of software parallelization of tasks at the thread level to speed up the process of calculating the cell nucleus characteristics. It was established that the existing systems of automated microscopy and diagnostic systems based on images do not have the presence of a large number of characteristics of cell nuclei and do not have mechanisms for parallelizing the process of their calculation. The proposed approach makes it possible to speed up the process of calculating the quantitative characteristics of cell nuclei by 25 %. The relevance of the problem of parallelization is due to the need to process a large amount of data for their further reduction and classification. Thread-level parallelization improves image processing speed and does not require specialized hardware.
MODELS AND TOOLS FOR DEBUGGING AND TESTING MOBILE SYSTEMS FOR NEURO-LIKE CRYPTOGRAPHIC PROTECTION OF DATA TRANSMISSION
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Tsmots I. G. , Teslyuk V. M. ,   Lviv Polytechnic National University, Lviv, Ukraine, Opotiak Yu. V. ,   Lviv Polytechnic National University, Lviv, Ukraine, Pikh I. V. ,   Lviv Polytechnic National University, Lviv, Ukraine
Published: December 2022

The work revealed the need for providing cryptographic protection and immunity to data transmission and control commands when using the mobile robotic platform as well as the importance of taking into account the limitations regarding dimensions, energy consumption and productivity. It was found that one of the ways to meet the requirements of cryptographic protection is the use of neuro-like networks. Their feature is the ability to pre-calculate the weight coefficients that will be used when encrypting/decrypting data. It is suggested that during neuro-like encryption/decryption of data, the key should be generated taking into account the architecture of the neuro-like network (the number of neurons, the number of inputs and their bit rate), the matrix of weight coefficients and the table for masking. It was determined that a neural network with pre-calculated weight coefficients makes it possible to use a table-algorithmic method for data encryption/decryption, which is based on the operations of reading from memory, adding and shifting. Limitations regarding dimensions, energy consumption and performance are analyzed. They can be overcome during implementation by using a universal processor core supplemented with specialized FPGA hardware for neuro-like elements. That is the combined use of software and specialized hardware ensures the effective implementation of neuro-like data encryption/decryption algorithms and management teams. Models and tools for debugging and testing a neuro-like cryptographic system are presented. A model of the preliminary settings of the neuro-like data encryption system has been developed, the main components of which are the former of the neuro-like network architecture, the calculator of weight coefficient matrices and the calculator of tables of macro-partial products. A model of the process of neuro-like encryption of control commands using a table-algorithmic method has been developed. Models for testing and debugging blocks of encryption (decryption), encoding (decoding), and masking (unmasking) of data have been developed, which, due to the use of reference values for comparison, ensure an increase in the quality of testing and debugging of the cryptographic system. A cryptographic system was developed, which, as a result of a dynamic change in the type of neuro-like network architecture and the values of weighting coefficients, mask codes and barker-like code, provides an increase in the crypto-resistance of data transmission. Testing of the simulation model was carried out on the example of message transmission for various configurations of a cryptographic system.
COMBINATORIAL OPTIMIZATION OF SYSTEMS OF NEURAL NETWORK CRYPTOGRAPHIC DATA PROTECTION
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Riznyk V. V.
Published: December 2022

The problem of improving the reliability of cryptographic data protection in neural network systems with flexible configuration is considered. To ensure the possibility of encrypting/decrypting messages it is proposed to use combinatorial optimization methods for the tasks of forming encoded sequences with improved quality indicators for correcting ability, noise immunity, and autocorrelation properties. The basis of combinatorial optimization is the principle of optimal structural relationships, the essence of which is to achieve the maximum diversity of the system under the established restrictions on the number of structural elements and their mutual placement in space-time. It is proposed to use signal-code sequences for neural network data protection, which are characterized by high noise immunity and low level of the autocorrelation function, using various types of optimized code sequences depending on the set of requirements for work under specific conditions, taking into account restrictions on the duration of sending encrypted messages and the presence of noise in communication channels. The system for neural network cryptographic data protection has been developed using encoded signal sequences, where the number of binary characters of different names differs by no more than one character, which minimizes the value of the autocorrelation function of the encoded signal at a fixed bit depth. To ensure high technical and economic indicators of the cryptosystem, it is advisable to equip it with specialized modules of neuro-similar elements of the network with the possibility of training and flexible configuration for cryptographic data encryption. The relationship between the parameters of optimized encoded signal sequences, in which the value of the autocorrelation function is minimized, and the maximum achievable number of detected and corrected errors has been established. It is proposed to use unique properties of combinatorial configurations with a non-uniform distribution of structural elements, which are distinguished by the fact that the set of all ring sums of their numerical values occurs a fixed number of times. A comparative analysis of cryptographic methods for data protection and transfer using non-standard codes built on the so-called IRB code sequences together with other signal-code constructions was carried out.
A MODEL FOR IMPROVING THE STRENGTH CHARACTERISTICS OF THE ELECTROMECHANICAL DRIVE OF A MOBILE ROBOT
Authors:   Lviv Polytechnic National University, Lviv, Ukraine, Zinko R. V. , Teslyuk V. M. ,   Lviv Polytechnic National University, Lviv, Ukraine, Kazymyra I. Ya. ,   Lviv Polytechnic National University, Lviv, Ukraine, Ostrovka D. V. ,   Lviv Polytechnic National University, Lviv, Ukraine
Published: December 2022

Mobile robots are increasingly used in the most diverse spheres of human activities; accordingly, it is essential to ensure their reliable functioning, which in turn determines efficiency. Using appropriate calculations during design, it is possible to increase reliability and reduce the metal consumption of the machine samples being created. It is crucial that such calculations consider the loading modes in which the vehicle is used. The purpose of the presented work is to increase the technical and operational indicators of the electromechanical drive of mobile robots by selecting the input parameters in combination with the appropriate methods and techniques of design and mathematical modelling. In order to achieve the specified goal, the following main tasks of the research are defined: firstly, to improve the model of increasing reliability and reducing the metal consumption of mechanical components of mobile robots; and secondly, to calculate the mechanical components of mobile robots using the proposed model. Providing the necessary margin of strength with a simultaneous reduction in metal density is necessary for improving the electromechanical drive of a mobile robot and improving its characteristics in general. The paper presents a model and developed an algorithm for increasing the reliability and reducing the metal consumption of mechanical components of mobile robots. The method includes geometric, kinematic, dynamic, energy, technical and economic indicators' calculations, as well as strength and stiffness calculations. The calculations were performed for a small mobile robot with an electromechanical transmission, and the results of a study of the reliability and strength characteristics of the shaft of the mobile robotics platform were presented. The case of turning a mobile robot with the realization of the maximum torque, which is transmitted to one of the tracks, is considered. Based on the kinematic scheme of the electric transmission, a solid-state model of one of its elements (the traction star shaft of the crawler motor) was developed, for which, based on the schematized Serensen – Kinasoshvili diagram, the margin of safety was determined. The proposed model has been examined and successfully used to construct the experimental samples of mobile robots.
HUBUNGAN MOTIVASI BELAJAR TERHADAP HASIL BELAJAR SISWA PADA MATA PELAJARAN DASAR PERANCANGAN TEKNIK MESIN KELAS X SMK NEGERI 1 SUMATERA BARAT
Authors: Sepriza Irshan , Erizon Nelvi , Sari Delima Yanti , Prasetya Febri , Nurdin Hendri
Published: December 2022

Motivasi belajar ialah hasrat/upaya internal dan eksternal untuk meningkatkan aktivitas, mengubah perubahan perilaku dalam menggapai tujuan belajar. Penelitian ini diterapkan karena hasil belajar siswa teknik mesin SMK Negeri 1 Sumatera Barat masih rendah. Penelitian dikerjakan untuk melihat apakah adanya koneksi antara motivasi belajar siswa kelas X DPTM SMK Negeri 1 Sumatera Barat dengan hasil belajarnya. Jenis penelitian kuantitatif korelasional dipakai pada penelitian ini. Sebuah penelitian yang dikenal dengan penelitian kuantitatif korelasional berfokus pada pemeriksaan data yang diperoleh dengan menggunakan teknik statistik untuk melihat keberadaan dan signifikansi hubungan dari dua variabel atau lebih. Berlandaskan dari hasil analisis koefisien (r) kedua variabel penelitian dengan rhitung 0,812 dan rtabel 0,254 kategori 0,812 > 0,254, maka Ha diterima. Jadi hipotesis bahwa hubungan antar motivasi dam hasil belajar dan hasil analisis diperoleh koefisien determinasi sebesar 65,93%, sehingga sumbangan motivasi belajar dengan hasil belajar ialah 65,93%, selebihnya disebabkan oleh faktor luar. Dengan demikian dapat disimpulkan bahwa motivasi belajar kelas X Mata Pelajaran Dasar Perancagan Teknik Mesin (DPTM) SMK Negeri 1 Sumatera Barat berkorelasi positif signifikan pada hasil belajarnya. Dari analisis implikasi dari penelitian ini ialah bahwa siswa yang termotivasi lebih mungkin untuk memenuhi hasil belajar menjadi lebih baik berbanding terbalik dengan siswa yang kurang termotivasi.
KONTRIBUSI PENGETAHUAN KESEHATAN DAN KESELAMATAN KERJA (K3) DAN SIKAP KERJA TERHADAP HASIL BELAJAR MATA PELAJARAN PRODUK DAN KREATIF KEWIRAUSAHAAN SISWA KELAS XI TEKNIK PERMESINAN DI SMK NEGERI 1 PADANG
Authors: Arrafi Miftahul , Erizon Nelvi , Arwizet Arwizet , Primawati Primawati
Published: December 2022

K3 (Keselamatan dan Kesehatan Kerja) adalah gagasan yang berupaya menjamin integritas fisik dan mental. Penelitian dilakukan mengungkapkan dampak terhadap kontribusi peserta didik pada pengetahuan K3 dan sikap kerja pada hasil belajar produk kreatif, dan kewirausahaan di SMKN Negeri 1 Padang. Jenis penelitian yang dipakai ialah research korelasional melihat besaran kontribusi pada variabel. Penelitian dilaksanakan pada SMKN Negeri 1 Padang bertempat di Jl Mahmud Yunus Anduring, Kecamatan Kuranji, Kota Padang, Sumatera Barat. Teknik pengambilan sampel memakai sampel sebanyak 61 orang terdiri 2 kelas yaitu, kelas XI-TP-A dan XI-TP-B. Teknik pengumpulan data diambil menggunakan angket yang disebarkan ke peserta didik. Metode yang dipakai yaitu metode kuantitatif yang bersifat korelasional dengan cara pengumpulan data melalui instrument angket dan dokumentasi hasil nilai uji reliabilitas dan validitas. Teknik analisis reseach memakai teknik pra analisis, uji normalitas, uji linearitas, uji heterokedastisitas, dan uji multikolinearitas. Untuk uji hipotesis memakai teknik moment product correlation. Berdasarkan penelitian uji korelasi Ketika nilai pengetahuan dan sikap kerja bernilai 0, maka  (siswa) secara konstan memiliki nilai sebesar 73,049. Ketika nilai Pengetahuan K3 bernilai satu satuan dan Sikap Kerja bernilai 0, maka nilai siswa akan meningkat sebesar -0,106. Ketika nilai Pengetahuan K3 bernilai 0 dan Sikap Kerja bernilai satu satuan, maka nilai siswa akan berkurang sebesar 0,172.
HUBUNGAN PRESTASI BELAJAR, DUKUNGAN SOSIAL ORANG TUA DAN EKSPEKTASI KERJA TERHADAP MINAT MELANJUTKAN STUDI S2 PADA MAHASISWA PENDIDIKAN TEKNIK MESIN FT UNP
Authors: Azhar Alfian , Ambiyar Ambiyar , Irzal Irzal , Mulianti Mulianti
Published: December 2022

Penelitian bertujuan mengungkapkan hubungan prestasi belajar, social support orang tua dan harapan bekerja pada minat melanjutkan studi S2 pada mahasiswa Pendidikan Teknik Mesin FT-UNP. Jenis penelitian yang diberlakukan ialah quantitative research. Subjek penelitian ialah mahasiswa Pendidikan Teknik Mesin Angkatan 2018 FT-UNP sebanyak 76 mahasiswa. Teknik pengumpulan data memakai kuisioner (angket) dan dokumentasi. Teknik analisis data memakai metode correlational analysis. Hasil penelitian memperlihatkan: 1) Tidak terdapat hubungan prestasi belajar pada minat lanjut studi S2 pada mahasiswa pendidikan teknik mesin FT-UNP yang ditunjukan dengan nilai koefisien korelasi (r)=  0207, 2) terdapat adanya keterikatan hubungan dorongan sosial orang tua pada minat melanjutkan studi S2 peserta didik Pendidikan Teknik Mesin FT UNP yang diperlihatkan pada nilai korelasi koefisien (r) = 0,346, 3) dihubungan ekspektasi kerja pada minat melanjutkan studi S2 diperlihatkan dengan penilaian korelasi koefisien (r)= 0,314, 4) tampak hubungan prestasi belajar, social support orang tua dan harapan bekerja dengan bersama pada minat lanjut studi pascasarjana S2 peserta didik Pendidikan Teknik Mesin FT-UNP yang ditunjukkan dengan koefisien determinasi (R2)= 0,191. Nilai Sumbangan Relatif X1= 6,9%, X2=51,1%,X3=41,8%, dan total sumbangan efektif yaitu 19,1%. Hasil dari penelitian ini mengharapkan mahasiswa Pendidikan Teknik Mesin memiliki ketertarikan untuk lanjut pendidikan ke jenjang yang lebih tinggi yaitu pascasarjana (S2).
Historia, deporte y sociedad. El futbol en la ciudad de México durante el porfiriato (1892-1910)
Authors: Esparza Miguel
Published: December 2022

El objetivo principal de este estudio es el de explicar de qué forma surgió el futbol soccer en la Ciudad de México en el periodo que va de 1892 a 1910. En lugar de un proceso, uniforme, lineal y planificado, el surgimiento del futbol en la ciudad de México debe analizarse como un proceso interdependiente, coproducido y no planificado, donde en diferentes momentos, una gran cantidad de personas con intereses diversos y asentadas en diferentes ciudades del país, intervinieron y llevaron a cabo una serie de acciones con el fin de establecer, desarrollar y fomentar la práctica del futbol.
El sarape cominternista: algunos retazos impensados de México como puente transnacional y emporio revolucionario, 1919-1941
Authors: Pujals Sandra
Published: December 2022

Este artículo añade un nuevo giro al papel de México como “emporio” revolucionario y punto de encuentro transnacional entre el comunismo internacional y el radicalismo regional. Por el contrario de la mayoría de las discusiones en torno al transnacionalismo como crisol para grandes transformaciones sociales y culturales, el trabajo señala retos y resultados adversos, dadas las complejidades de la experiencia. Como agentes de conflicto apunta, por ejemplo, las particularidades del colectivo comunista reunido en la capital azteca, tales como el carácter multinacional de las redes afiliadas a la Comintern y las personalidades conflictivas de algunos de sus miembros. Ofrece también ejemplos específicos de los choques personales y sus resultados para la estabilidad interna del movimiento y sus organizaciones representativas.
Creatividad, improvisación y entrenamiento musical: una revisión sistemática
Authors: Moltrasio Julieta , Deidda Ignacio , Rubinstein Wanda
Published: December 2022

La creatividad puede definirse como la interacción entre aptitudes, procesos y ambiente para generar productos novedosos y útiles. El entrenamiento e improvisación musical están asociados a cambios cerebrales y funcionales, y podrían influir en las capacidades creativas. El objetivo del presente estudio es realizar una revisión bibliográfica cualitativa descriptiva para evaluar si existe una diferencia en creatividad entre músicos y no músicos, y entre músicos que improvisan y músicos que no, y establecer, a partir de ello, una relación entre creatividad e improvisación musical. La búsqueda arrojó 11 estudios: 7 evaluaron las diferencias en creatividad entre músicos y no músicos, hallándose diferencias principalmente en creatividad musical, pero no en creatividad general; y 4 compararon músicos que improvisan y que no, y la mayoría halló diferencias en creatividad. Los resultados sugieren que la práctica musical y la improvisación inciden sobre la creatividad. La improvisación favorecería la plasticidad y desarrollo de funciones ejecutivas, que están relacionadas con el desempeño creativo.
El reto de pasar de lo presencial a lo virtual para lograr un aprendizaje significativo en tiempos de COVID-19
Authors: Stevens Ramírez Mónica Patricia , Rodríguez-Martínez Jorge
Published: December 2022

La pandemia del COVID-19 en 2020 forzó el cierre de empresas, negocios, plazas comerciales y escuelas, en países y ciudades de todo el mundo. En la UAM, como en otras instituciones de educación de todos los niveles, se optó por continuar labores, pero de forma virtual. En solo pocas semanas, la comunidad universitaria se tuvo que preparar para un cambio de paradigma, la única opción abierta era pasar de lo presencial a lo virtual de forma inmediata. El caso que aquí se presenta fue la transición del proceso de enseñanza-aprendizaje en la preparación del curso de Costos para Diseñadores Industriales, mediante el proceso colaborativo de dos profesores y la ayudante del área de investigación, para resolver problemas de tipo tecnológico y pedagógico. Lo que se describe fue la conjunción de dos visiones de enseñar, que más que enfocarse en las diferencias se concentraron en los puntos en común. Este proceso se vivió en forma de aula invertida y se aplicaron estrategias de enseñanza activas-cooperativas, en que los mismos estudiantes aprendieron a usar el conocimiento adquirido y a usar el poder de sus propias mentes para entender las cosas. Los participantes desarrollaron un rol activo de asimilación, retención del material y participación en las decisiones que se tomaron acerca de la forma de presentar algunos de los contenidos, con el fin de lograr un aprendizaje significativo.
Planificación didáctica de un curso de historia del diseño en tiempos de contingencia
Authors: Hirata Kitahara Miguel Toshihiko
Published: December 2022

Se presenta la planeación didáctica realizada para cursos de Historia del Diseño Gráfico III (Diseño Gráfico en México) en la UAM-A durante los trimestres 20-I y 20-P, bajo el contexto de la pandemia del COVID-19 y en el Programa Emergente de Enseñanza Remota (PEER). Se describe el proceso de acuerdo con el modelo de Hernández Cruz y Guárate (2017), que consta de dos fases (pre-planificación y estrategias didácticas) y varias sub-fases para la fase de estrategias didácticas (inicio, desarrollo y cierre). Se incluyen experiencias didácticas correspondientes al periodo, cuya base son un diario de experiencias, cuestionarios y trabajos realizados por los alumnos.