bluuebunny/crossref_metadata_2025 huggingface dataset:
Training on the Development of Utilization of Digital Teaching Materials for Teachers to Improve Student Learning Outcomes
Authors: Kadarisman  , Marisa  , Asnah M.N. Limbung  , Suryo Prabowo
Published: January 2023

In the era of the industrial revolution 4.0, modern technology such as fibre technology and integrated network systems in all aspects of life has made humans very dependent on technology. The purpose of this research is to foster a culture of digital literacy in the school environment, increase teacher knowledge and skills in the field of developing and utilizing digital teaching materials, improve student learning performance and increase teacher knowledge and skills in terms of digital learning models and improve student's learning performance. The method used in this study is the observation method using the pre-experimental design method, one group type pretest-posttest (pretest test-posttest single group). Assistance was provided to 28 junior high school teachers in the South Tangerang area. During the training, participants were given four assignments: Team, Sway, Learning Design and Learning Videos. The study results show that as many as 71% of teachers have mastered the Teams and Sway applications from Microsoft, 60% can make lesson plans, and 53% can make learning videos. The pretest and post-test results showed that the average result was 36.6%, then after participating in the training, the average result was 44.4%. The results of the study show that training in the development and use of digital teaching materials has an effect on the skills and abilities of teachers, which is beneficial for improving student learning performance.
O tabu da tabuada: uma investigação sobre as práticas pedagógicas de professores polivalentes no ensino de matemática nos anos iniciais
Authors: Wanlar Gabriela , Predebon Titon Flaviane , Da Silva França Lubaszeswki Cavasin Rosane
Published: January 2023

Este trabalho tem origem no curso de Pós-Graduação Lato Sensu em Educação Matemática, desenvolvido entre os anos de 2021 e 2022, junto ao Instituto Federal Catarinense - IFC Campus Concórdia. O projeto, no âmbito do Trabalho de Conclusão de Curso, teve por objetivo avaliar a efetividade do ensino da tabuada, por meio de métodos e técnicas voltados à memorização e a partir de narrativas docentes. Para tanto, é realizada uma apresentação de natureza bibliográfica, destacando tendências de ensino de multiplicação e tabuadas ao longo dos anos, seguida da classificação, frente ao estudo bibliográfico, de quais métodos e técnicas estão associados à memorização da tabuada e quais se caracterizam como significativos para o aprendizado dos conceitos associados. Em um segundo momento, dentro de um contexto específico, foi realizada uma pesquisa de campo para determinar quais métodos e técnicas são utilizados por professores em exercício nos Anos Iniciais do Ensino Fundamental e suas concepções sobre a efetividade frente à memorização e aprendizagem e, com isso, contribuir no desenvolvimento de estudos referentes aos processos de Alfabetização Matemática e a formação do professor polivalente. A proposta metodológica do trabalho é de caráter qualitativo, com pesquisa bibliográfica, estudo de caso, com a utilização de um questionário com perguntas abertas e fechadas, realizado com quatro professores dos Anos Iniciais da Educação Básica, em uma escola localizada no Meio Oeste de Santa Catarina. Como resultados, foi construída uma base conceitual sobre os processos de ensino da tabuada nos Anos Iniciais do Ensino Fundamental e confrontados os elementos referenciais aos achados discursivos presentes nas concepções dos sujeitos do caso em questão. Além disso, considera-se ter contribuído com as discussões sobre os processos de ensino da Matemática nas fases iniciais da escolarização básica.
Potencialidades do uso de materiais manipuláveis e jogos da docência do programa de residência pedagógica
Authors: Albiero Lazaroto Agda , Predebon Titon Flaviane
Published: January 2023

O presente relato apresenta uma experiência formativa sobre a trajetória de uma estudante do curso de Matemática Licenciatura, do Instituto Federal Catarinense - IFC Campus Concórdia no Programa de Residência Pedagógica, entre Outubro de 2020 e Março de 2022, nos três módulos em que desenvolveu as atividades a partir do Edital 01/2020 (Capes). O Programa de Residência Pedagógica objetiva aperfeiçoar a formação prática nas licenciaturas de modo a promover a imersão do futuro professor na escola de educação básica a partir da segunda metade do curso. Objetiva-se aqui apresentar sucintamente todas as etapas em que a Residência Pedagógica está organizada, destacando a fase de regências, a qual é considerada como promotora de aprendizagem, tanto para a estudante da licenciatura quanto para os alunos. Também, intenta demonstrar materiais didáticos construídos para auxiliar no processo de ensino dos conteúdos associados a geometria. Exalta-se a importância do Programa na formação docente para o crescimento e desenvolvimento profissional do futuro professor de Matemática.
Percepções de estudantes sobre avaliação na sala de aula
Authors: Scheller Morgana , Dalcanale Maria Luiza Dellajustina , Tambosi Ronaldo
Published: January 2023

O estudo busca analisar as percepções de avaliação na sala de aula de estudantes do Ensino Superior de uma instituição de ensino pública. Para isso, realizou-se um estudo sobre as diversas concepções de avaliação e sobre a temática nos projetos pedagógicos dos cursos, aporte necessário para o processo de análise. Para a composição do corpus de análise, coletaram-se informações com os estudantes por meio de um questionário e, para a análise dos dados, utilizou-se dos procedimentos da Análise Textual Discursiva. Da análise, identificaram-se três categorias acerca das percepções: i) função da avaliação na sala de aula; ii) formas utilizadas pelos professores para avaliação em sala de aula e sugestão de instrumentos de avaliação; iii) emoções despertas pela avaliação. Os resultados indicaram que, para os estudantes, o processo avaliativo dos cursos superiores da referida instituição está mais próximo do modelo tradicional. No entanto, a percepção de avaliação processual e diagnóstica torna-se gradualmente presente na concepção dos docentes e discentes, sendo mais evidente nos cursos de licenciatura. Sente-se um anseio de contribuir para o progresso acelerado do desenvolvimento da avaliação de carácter formativo, processual e diagnóstico no cotidiano do estudante de todas as disciplinas dos cursos.
Role of Emotional Intelligence in Aggressive and Violent Behaviors among Undergraduates in a Lower Resource Setting
Authors: Fayaz Fazla , Nilaweera Irosha , Cassim Riyas , Samaranayake Dulani
Published: January 2023

Introduction:Various forms of Aggressive and Violence Behavior(AVB) among undergraduates have been studied and shown considerable evidence of a significant link between Emotional-Intelligence(EI).
Objective:is to assess the prevalence of AVB and its association with EI among second-year undergraduatesin a lower resource setting.
Method:A descriptive-cross-sectional study was carried out among 1290, second-year undergraduates using multi-stage stratified cluster sampling in four randomly selected universities in Sri Lanka. UniHRB-Inventory is a self-administered questionnaire developed, translated and validated in a local setting. The domain measures AVB with 14 items, scoring from 0 for “never” and 4 for “more than 5 times”. The minimum-threshold-score for the presence of AVB was 32. Schutte’s Self-reported-EItool was used to assess EI. Total EI score was compared between those with and without AVB using the Mann-Whitney U test. A Multiple Logistic Regression (MLR) analysis was performed to control confounders.
Results:Overall response-rate for the study was 88.1% (n=1136). Prevalence of AVB was 2.6% (95%CI:1.8%-3.7%). There was a statistically significant difference between the median total EI among undergraduates with and without AVB (median 72 vs 126; p<0.0001). EI had a significant negative effect on the likelihood of AVB following MLR. When EI increases by one unit the odds of having AVB decreases by a factor of 0.93 (95%CI:0.89-0.98;p<0.05).
Conclusion and Recommendation: People with better EI are less likely to have AVB. It is recommended to include EI in the routine of undergraduates’ curriculum to prevent AVB in a lower resource setting.
The perceptions and attitudes of obstetric staff and midwives towards perinatal mental health disorders screening: a qualitative study in Shenzhen, China
Authors: Xiao Xiao , Ma Haixia , Zhu Shening , Li Qiaomeng , Chen Yu
Published: January 2023

Background: The perinatal period is a crucial time both for women, who will experience biological, psychological, and social stressors. The complexity of this vulnerable time leads to a prevalence of depressive and anxiety disorders for women during pregnancy. As a pilot city of the Opening Policy in China, The Health Commission of Shenzhen initiated perinatal mental health screening in 2019, but medical staff perceptions and attitudes on implementating mental health disorders screening during pregnancy are still unclear. The aim of this study was to explore the perceptions and attitudes of obstetric staff and midwives towards perinatal mental disorders screening of pregnant women, and identify their perceived needs and motivation to take on the task.
Methods: This is a qualitative descriptive study. Data were collected through in-depth, semi-structured, face-to-face interviews. The dataset was analysed using inductive content analysis. Purposive sampling was used to recruit participants at a tertiary maternal hospital in Shenzhen from September to November, 2019.
Results: A total of 13 obstetric staff was interviewed, including two obstetricians, three midwives, and eight nurses. Four themes were identified from this study: views on perinatal mental health disorders screening, competency in identifying and supporting high-risk groups, barriers to dealing with psychological problems during pregnancy, and the support needs of medical staff in undertaking the tasks of mental health disorders screening.
Conclusion: Medical staff were not well prepared for the task of screening pregnant women for mental health disorders due to insufficient knowledge and skills in perinatal psychological health. Medical organisations and relevant government sectors should provide training to medical staff on perinatal mental health disorders, enhance public awareness of perinatal mental health disorders, establish a model of multidisciplinary collaboration for the screening of women’s perinatal mental disorders, and provide continuous and holistic care for pregnant women.
The Prediction of the Bulk Modulus and its Temperature-Derivative of the Crystalline β-SiC Ceramic
Authors: Abdul-Hafidh Esam H.
Published: January 2023

The prediction of the isothermal bulk modulus BT and the temperature-derivative (∂BT/∂T)p of crystalline silicon carbide (β -SiC) from experimental data are presented in this work. Using the experimental measurements of the coefficient of thermal expansion found by Z. Li and R. C. Bradt and the empirical value of the Anderson parameter, the variations in bulk modulus as a function of temperature and pressure are traced. Both BT and its temperature-derivative were calculated within the temperature range of 273-1573K. The bulk modulus has been found to decrease by 2.4% from its value at 273K upon heating to a temperature of 1573K. The temperature derivative of the bulk modulus decreases from − 0.003 GPa/K at 273K to a minimum of -0.0046 at Debye's temperature (1173K), and then increases again as the temperature increases. The bulk modulus has been also calculated by thermodynamical equations for the purpose of comparison, where the empirical and the thermodynamical results match to within a negligible margin of error. Both results for BT were compared to previous LDA predictions and were found to deviate by 1.72% at 237K to 5.27% at 937K, respectively. The bulk modulus BT has also been investigated as the pressure is varied from 0 to 70 GPa, where BT has been found to increase from 226.9 GPa at 0 GPa to 513.9 GPa at 70 GPa.
Schwarzian derivative for convex mappings of order $\alpha$
Authors: Carrasco Pablo , Hernández Rodrigo
Published: January 2023

The main purpose of this paper is to obtain sharp bounds of the norm of Schwarzian derivative for convex mappings of order \(alpha\) in terms of the value of \(f''(0)\), in particular, when this quantity is equal to zero. In addition, we obtain sharp bounds for distortion and growth for this mappings and we generalized the results obtained by Suita \cite{SUITA} and Yamashita \cite{Y} for this particular case.
MSC Classification: 30C45 , 30C80 , 30A10
The earlier, the better? An in-depth interview study on the ethics of early detection with parents of children at an elevated likelihood for autism.
Authors: Vanaken Gert-Jan , Noens Ilse , Steyaert Jean , Esch Lotte van , Warreyn Petra , Hens Kristien
Published: January 2023

Autism is increasingly viewed as an expression of neurodiversity deserving accommodation, rather than merely as a disorder in need of remediation or even prevention. This reconceptualization has inspired calls to broaden the ethical debate on early autism care beyond matters of efficient screenings and effective interventions. We conducted 14 in-depth interviews with 26 parents of infants at an increased likelihood for autism (siblings, preterms and children with persistent feeding difficulties) to understand which benefits and risks these parents see for the implementation of a systematic, early autism detection program in our region [name blinded for review]). With this study, we aim to contribute empirically to the ethical debate on good and just early autism care in the age of neurodiversity. Data were analyzed according to the QUAGOL-methodology. Three main themes emerged from our analysis. In their evaluation of early autism detection, parents discussed how a diagnosis helps gain a different perspective fostering understanding and recognition for both child and parent. Second, a diagnosis supports parents in adjusting their parenting practices, to justify this deviation from “normal” parenting and to strive for such adjusted environments beyond the nuclear family. Third, an autism diagnosis induces ambiguities parents need to navigate, involving questions on whether and when to mobilize the diagnostic label and which language to use to talk about autism. We discuss the complex position of parents of a (potentially) autistic child in terms of moving back and forth across the ab/normal binary and describe implications for the ethical debate on early autism detection.
Breakdown Prediction Utilizing Data Mining Algorithms in Combination With Performance Measures Derived From Connected Vehicle Data
Authors: Mata Hector Donaldo , Jabin Atika , Hadi Mohammed
Published: January 2023

Connected vehicles (CV) will provide an important source of data to support real-time management of traffic operations and off-line analysis of traffic operations. CV data allows the derivation of metrics not currently computed for use in freeway management such as the standard deviation of speed, acceleration/deceleration, and jerk. This study explores the utilization of CV data to derive such metrics for use in traffic management. The study then investigates the use of the derived metrics in combination with data analytic techniques to assess and predict the onset of congestion on freeways in real-time operations.
The analysis revealed using cluster analysis and classification decision tree that the traffic states of the freeway facility used as a case study could be classified into groups representing six different traffic conditions based on speed, standard deviation of speed between vehicles, standard deviation between points, as well as the deceleration values. The study also compared the performance of three data mining/machine learning techniques for the prediction of congestion using a decision tree, a fuzzy rules-based system that utilizes the decision tree results, and a neuro-fuzzy inference system model utilizing the backpropagation optimization method for optimization. The comparison of the performance of the three prediction models demonstrated that the neuro-fuzzy inference system model achieved the best performance in terms of various performance measures that are commonly used to assess machine learning performance.
Evolutionary finance: A model with endogenous asset payoffs
Authors: Evstigneev Igor , Hens Thorsten , Mohammad Javad Vanaei
Published: January 2023

Evolutionary Finance (EF) explores financial markets as evolving biological systems. Investors pursuing diverse investment strategies compete for the market capital. Some "survive" and some "become extinct". A central goal is to identify evolutionary stable (in one sense or another) investment strategies. The problem is analyzed in a framework combining stochastic dynamics and evolutionary game theory. Most of the models currently considered in EF assume that asset payoffs are exogenous and depend only on the underlying stochastic process of states of the world. The present work develops a model where the payoffs are endogenous: they depend on the share of total market wealth invested in the asset.
JEL-classification: D53, E21, G11.
Effects of Multi-Surface Texturing on the Tribological Properties of Aluminum Based Self-Lubricating Joint Bearing under Grease Condition
Authors: Owusu-Mensah Daniel , Hua Xijun , Tian Zhixiang , Chen Ya Lin
Published: January 2023

Joint bearing contact surfaces of high-tech precision machinery applied particularly in the manufacturing industry undergo varying range of extreme temperature and pressure conditions, which subject them to frictional wear, tear and stress during operation in different environments of application. A continuous assessment of their resilient capacities is therefore necessary to avoid operational failure of core base component parts. The aim of this study is to assess the effects of multi-surface treatment and texturing processes on the frictional and stress performance of aluminum based self-lubricating joint bearing under grease condition. Using ANSYS software based on the Hertz contact theory and Boussinesqmodel for numerical simulations of rated static load contact, the study showed that under dry friction and grease lubrication, PTFE/ardex pad stabilizes the surface friction coefficient and effectively reduces the friction coefficient. Again, the friction coefficient of the aluminum self-lubrication increases with the texture share and the sample with 15% share shows the lowest friction coefficient (0.114), under lipid lubrication conditions. It is recommended for future research to conduct a wobble (transient dynamics) and thermodynamic analysis for the model, and attempt to optimize the friction resistance of self-lubricating joint bearing by adjusting the deposition process parameters like current value, temperature and element contact.
A Policy-Graph Approach to Explain Reinforcement Learning Agents: A Novel Policy-Graph Approach with Natural Language and Counterfactual Abstractions for Explaining Reinforcement Learning Agents
Authors: Liu Tongtong , McCalmon Joe , Le Thai , Lee Dongwon , Alqahtani Sarra
Published: January 2023

As reinforcement learning (RL) continues to improve and be appliedin situations alongside humans, the need to explain the learned behaviorsof RL agents to end-users becomes more important. Strategies forexplaining the reasoning behind an agent’s policy, called policy-levelexplanations, can lead to important insights about both the task and theagent’s behaviors. Following this line of research, in this work, we proposea novel approach, named as CAPS, that summarizes an agent’s policy inthe form of a directed graph with natural language descriptions. A decisiontree based clustering method is utilized to abstract the state space ofthe task into fewer, condensed states which makes the policy graphs moredigestible to end-users. We then use the user-defined predicates to enrich the abstract states with semantic meaning. To introduce counterfactual state explanations to the policy graph, wefirst identify the critical states in the graph then develop a novel counterfactualexplanation method based on action perturbation in those criticalstates.We generate explanation graphs using CAPS on 5 RL tasksfor deterministic and stochastic policies. We evaluate the effectivenessof CAPS on human participants who are not RL experts in twouser studies. When provided with our explanation graph, end-users are ableto accurately interpret policies of trained RL agents 80% of the time and 68.2%of users demonstrated an increase in their confidence in understandingan agent’s behavior.
A parallel iterative procedure for weak Galerkin methods for second order elliptic problems
Authors: Wang Chunmei , Wang Junping , Zhang Shangyou
Published: January 2023

A parallelizable iterative procedure based on domain decomposition is presented and analyzed for weak Galerkin finite element methods for second order elliptic equations. The convergence analysis is established for the decomposition of the domain into individual elements associated to the weak Galerkin methods or into larger subdomains. A series of numerical tests are illustrated to verify the theory developed in this paper.
Association Between Follicle Size, Endometrial Thickness, and Types of Ovarian Stimulation (Clomiphene Citrate and Letrozole) With Biochemical Pregnancy Rate in Women Undergone Intrauterine Insemination
Authors: Rachmawati Anita , Krisnadi Sofie Rifayani , Santoso Shasya Aniza , Nugrahani Annisa Dewi
Published: January 2023

Objective: There was also a lack of data regarding the effect of follicle size, endometrial thickness, and ovarian stimulation as predictors of intrauterine insemination (IUI) success rate in Indonesia, especially in the Aster Clinic and Bandung Fertility Centre. This study was performed to explore the relationship between follicle size, endometrial thickness, and types of ovarian stimulation (Clomiphene citrate/CC vs Letrozole) with biochemical pregnancy rate in women undergone IUI. We performed a case-control study in 122 women aged 20-40 years with unexplained infertility who had completed the IUI program for a maximum of three cycles. Data were extracted from medical records. Independent T-test and multivariate analyses were used to analyse the difference between variables using IBM SPSS 24.0. P-value < 0.05 was considered statistically significant.
Result: Follicle sizes of 18-22 mm in both Clomiphene citrate (CC) and Letrozole groups were shown to increase biochemical pregnancy rate (P= 0.001). There is no relationship between endometrial thickness and pregnancy rate. Biochemical pregnancy rate in women using Letrozole was 1.513 times higher than women using CC. The follicle size of 18-22 mm and using Letrozole rather than CC as ovarian stimulators are predictive factors associated with a higher pregnancy rate in women undergone IUI.
Toeplitz Operators with Positive Measures on Harmonic Fock Spaces
Authors: Gou Xue , Huang Sui
Published: January 2023

In this paper, we study the basic properties of Toeplitz Operators Tµ with positive measures µ on harmonic Fock spaces such as boundedness, compactness and Schatten class Sp with the methods of Berezin transform of operators.
MSC(2020) 47B10, 47B35
Local well-posedness of the periodic nonlinear Schrödinger equation with a quadratic nonlinearity ū2 in negative Sobolev spaces
Authors: Liu Ruoyuan
Published: January 2023

We study low regularity local well-posedness of the nonlinear Schrödinger equation (NLS) with the quadratic nonlinearity ū2, posed on one-dimensional and two-dimensional tori. While the relevant bilinear estimate with respect to the Xs,b-space is known to fail when the regularity s is below some threshold value, we establish local well-posedness for such low regularity by introducing modifications on the Xs,b-space.
The Analysis between Clinicopathological Aspect of Early-Onset vs Late-Onset Colorectal Cancer and Mortality Rate
Authors: Lukman Kiki , Mulyawan Andi , Nugrahani Annisa Dewi , Rudiman Reno , Primastari Etis
Published: January 2023

Objective: Early-onset colorectal cancer (EOCRC) has different clinical and pathological characteristics compared to late-onset CRC (LOCRC). Mortality rate as a post-operative outcome is a patient's postoperative outcome considered based on the state of life or death. The objective of this research is to analyze the comparison between clinicopathological aspect of early-onset vs late-onset CRC as well as their correlation with the mortality rate in Indonesia to support global data. We performed a case-control study on 170 subjects with CRC from November 2021- November 2022 in Dr. Hasan Sadikin General Hospital. Data were extracted from electronic medical records Colorectal Cancer (CRC) Registry. Bivariate and correlation analyses were used to analyse the difference between variables using IBM SPSS 24.0. P<0.05 was considered statistically significant.
Result: Anemia and tumor location variables were significantly different in the early-onset group compared to the late-onset group (P<0.001). It was also found that anemia (P<0.001), pathological features (P<0.001), and tumor location (P=0.013) had significantly low correlation with onset of CRC (r=0.325; r=0.397; r=0.342, respectively). There is no statistically significant correlation between the clinicopathological features of CRC in both onset and mortality rates in this study.
A velocity decomposition-based 3D optical flow method for accurate Tomo-PIV measurement
Authors: Kang Menggang , Yang Hua , Yin Zhouping
Published: January 2023

3D velocity field estimation is the key to high spatial resolution and high-accuracy measurements in tomographic particle image velocimetry (Tomo-PIV), especially when characterizing flow fields with delicate vortex structures. However, the cross-correlation velocity estimation method has limited spatial resolution due to the limitation of the interrogation sub-volume size. The 3D optical flow method can improve the spatial resolution of the velocity field, but its accuracy needs to be improved because it does not take into account the physical properties of the fluids. In this study, we propose a novel velocity decomposition-based 3D variational optical flow (VD-3DVOF) method to achieve high spatial resolution and high-accuracy measurement of 3D fluids. First, we present a novel regularization term based on the velocity decomposition theorem to constrain the different physical quantities, which can prevent the physical quantities from being over-smoothed. Second, we present a novel data term based on particle volume reconstruction feature weighting to reduce the influence of reconstruction errors on the velocity field estimation accuracy. Third, we present a multiscale technique and a volume warping operation to prevent the solution from falling into local optimal solutions. The newly proposed method considers both the physical properties of the fluid and the errors of reconstructed particle volumes. Velocity fields are estimated over synthetic and experimental particle volumes, and the results and comparisons show that the newly proposed VD-3DVOF method successfully achieves better performance and greater measurement accuracy than existing 3D motion estimation methods.
Evaluation of the simultaneous combination of bed sill and sacrificial piles in the reduction of local scour depth around the bridge pier and three-dimensional analysis of turbulent flow structure around them
Authors: Vahdati Vahid Javidi , Ahmadi Ahmad , Abedini Amirabbas , Heidarpour Manouchehr
Published: January 2023

In the present experimental study, the simultaneous use of bed sill and sacrificial piles around the cylindrical bridge pier was studied, to investigate whether the combination of these two countermeasures could be effective in reducing scour depth. Toward this goal, 14 experiments were conducted. Since it is important to understand the state of sediment entrainment around the pier, the coherent turbulent ﬂow structure around the best combination of bed sill and sacrificial piles was investigated and its effect on the bed scouring pattern was studied. The results related to the flow structure in the unprotected pier were considered for comparison. It was found that the simultaneous use of bed sill and sacrificial piles was completely effective in the control and reduction of local scouring and in the best configuration, it reduced the scour depth by 51.1%. Therefore, the use of this combination can be recommended to reduce the scour depth around the cylindrical pier. In this paper, 3D analysis of the bursting process (octant analysis) was used. Various characteristics of turbulence, such as turbulent kinetic energy, Reynolds shear stress and occurrence and transition probabilities of bursting events, were calculated. Investigating the sediment entrainment around the pier with bed sill and sacrificial piles confirmed the reduction of the scour depth by the combination of these two countermeasures.
Empirical likelihood and estimation in single-index varying-coefficient models with censored data
Authors: Xue Liugen
Published: January 2023

In this paper, we investigate the empirical likelihood and estimation of parameters of interest in single-index varying coefficient models with right censored data. A bias-corrected empirical log-likelihood ratio statistic for the regression parameter is proposed. It is shown the the statistic is asymptotically standard chi-squared, and thus the confidence region of the regression parameter is constructed. The estimators for both the regression parameter and the coefficient functions are constructed, their asymptotic distributions are obtained, and the consistent estimators for the asymptotic variances are given. The obtained results can be directly used to construct the confidence regions of the regression parameter and the pointwise confidence intervals of the coefficient functions. Our approach is to directly calibrate the empirical log-likelihood ratio, so that the resulting ratio is asymptotically chi-squared, un-dersmoothing of the coefficient functions is avoided, and the existing data-driven methods can effectively select the optimal bandwidth. The finite-sample behavior of the new methods is evaluated through simulation studies, and applications to a real data are illustrated.
Nulcearity for power series kernels on higher dimensions
Authors: Delgado Julio , Posada Liliana
Published: January 2023

In this work we establish the nuclearity on Lebesgue spaces for a class of power series kernels in higher dimensions. This class includes important examples arising as Maclaurin series kernels as well as the Fox-Li and related operators. As a consequence we derive the rate of decay of the corresponding eigenvalues and trace formulae.
2020 Mathematics Subject Classification. Primary 47B35; Secondary 47C05, 47B06, 45C05
Application of Magnetic Drag Force in Hybridization of Ag-Cu/Blood flow in a Stenosed Arterial System in Darcian Porous Material: A Finite Difference Scheme
Authors: Ahmed Karishma Karam , Ahmed Sahin
Published: January 2023

The present article investigates on a hybrid nano-fluid blood flow in an artery having stenosis under the existence of an external magnetic field over a porous medium via numerical approach. Hybridization of silver and copper with blood as the base fluid is taken into consideration. The governing equations of the blood flow model are patterned into partial differential equations which are converted to sets of ordinary differential equation with the assistance of similarity transformation. The primary features of the MHD arterial flow of blood over the porous surface are represented distinctly by representation of the dual solutions acquired for Velocity and fluid Temperature. The impacts of the variables of the bio-fluid with various parameters like Flow parameter (γ), Porosity parameter (Kp), Magnetic drag force (M), Prandtl Number (Pr), Volume fraction of Silver (Φ1) and Volume fraction of Copper (Φ2) are illustrated and explained in detail through graphs using bvp4c solver in MATLAB Software. Numerical overviews of the evaluated results are compared with numerical study of another published earlier in scientific literatures. This study is beneficial in hyperthermia treatments, vasoconstriction phenomenon, lipolysis, nanotechnology-based drug delivery systems, pulsatile flow analysis and movement of simple flow.
Few-shot Partial Multi-label Learning with Synthetic Features Network
Authors: Sun Yifan , Zhao Yunfeng , Yu Guoxian , Yan Zhongmin , Domeniconi Carlotta
Published: January 2023

In partial multi-label learning (PML) problems, each training sample is partially annotated with a candidate label set, among which only a subset of labels are valid. The major hardship for PML is that its training procedure is prone to be misled by false positive labels concealed in the candidate label set. To train a noise-robust multi-label predictor for PML problem, most existing methods hold the assumption that sufficient training samples are available. However, in actual fact, especially when dealing with new tasks, we more often only have a few PML samples for the target task. In this paper, we propose a unified model called FsPML-SF (Few-shot Partial Multi-Label Learning with Synthetic Features Network). FsPML-SF includes three modules: label disambiguation, data augmentation and classifier induction. Specifically, FsPML-SF attempts to update the label credibility of each PML sample by leveraging the feature and semantic similarities, the label credibility of other samples and label co-occurrence in a unified objective function. Next, FsPML-SF introduces a synthetic feature network to generate more training samples from pairs of given samples with corresponding label credibility values. FsPML-SF then utilizes the original and synthesized samples to induce a noise-tolerant multi-label classifier. We conducted extensive experiments on benchmark datasets, FsPML-SF outperforms recent competitive PML baselines and few-shot solutions. Both the label denoising and data augmentation improve the performance of PML on few-shot data.
Intensification of stress state at deformation site under local action of a deformation tool
Authors: Zaides S. A. , Nguyen Huu Hai
Published: January 2023

This paper discusses the development of a new procedure for finishing and hardening treatment by changing the kinematics of a deformation tool having a double-radius shape of the profile of the working surface, along with the determination of the stress-strain state in the site of elastic-plastic deformation and residual stresses in the hardened zone of the surface layer. The SOLIDWORKS 2018 software for 3D design and the ANSYS Work-bench 19.1 soft-ware using the finite element method were used to build a mathematical model of local loading. The temporary and residual stresses, the strain state in the loading zone, the depth of the plastic layer and the maximum value of the relative plastic deformation under various loading procedures of the working tool were determined. It was established that, at the reversible rotation of a double-radius roller, the values of temporary stresses are over 15% higher compared to those during static hardening, while the residual stresses are 5.7% higher. With the reversible rotation of the double-radius roll-er, the value of the maximum strain intensity becomes 2.11 times higher than that during static hardening. The intensity of the maximum residual stresses during the reverse rotation of the double-radius roller occurs at a depth 3 times greater than the indentation of the double-radius roller, rather than on the surface of the sample. The results of computer model-ling and numerical calculations indicate that the procedure of reversible rotation of a toroidal double-radius roller has the greatest influence on the intensity of the stress state in the deformation site, while the procedure of static hardening by a single-radius roller has the least impact. The obtained results suggest that the proposed technological process of surface plastic deformation based on the reversible rotation of the working tool will allow the radial tension to be reduced while maintaining the high quality of the surface layer of machine parts.
Shear strength diagnostics of machine parts
Authors: Matlin M. M. , Kazankin V. A. , Kazankina E. N.
Published: January 2023

This study presents an effective non-destructive method for determining the ultimate shear strength of parts made of structural carbon and alloy steels. The shear strength was determined using the method of controlled part indentation. In addition, a new material characteristic – a shear hardening modulus – is proposed. The experimental study was carried out using an IR 5143-200 software and hardware complex for metal testing and a double-shear testing device. Steel samples of the following grades were examined: steel 10, 20, 35, 45, 20Kh, 40Kh, 25KhGT and 30KhGSA. The value of plastic hardness was used as a strength characteristic due to its advantages over other hardness values. The conducted experiments found a significant discrepancy (up to 20%) between the reference and experimental values of shear strength. Dependencies for determining the shear strength of structural carbon and alloy steel samples were obtained. The accuracy of these dependencies was determined to be sufficient for engineering calculations both according to the obtained experimental results and literature sources. The error associated with shear strength determination does not exceed ±5%. In addition, the paper provides some types of safety parts that can be destroyed by shear loads. The underestimated reference values of the ultimate strength can lead to increased unrealizable safety margins and, as a result, an increase in the specific metal amount of joints. The proposed non-destructive method for shear strength determination exhibits the accuracy sufficient for engineering practice and can be used when manufacturing, operating and repairing various machine parts and units.
Coal in energy balance of the Republic of Sakha (Yakutia)
Authors: Pavlov N. V. , Takaishvili L. N. , Ivanova A. E.
Published: January 2023

In the article, the role of coal in the energy balance of the Republic of Sakha (Yakutia) is assessed by factoring in significant coal reserves, including low-quality and local coal in hard-to-reach areas. The research was carried out using system analysis methods. To this end, the retrospective dynamics of production and consumption of fuel and energy resources in retrospect and estimates were considered. The estimates were obtained by analysing reference documents, available resources for coal mining and the calculations performed by the authors. The production and consumption of fuel and energy resources of the Republic of Sakha (Yakutia) were analysed. It was shown that coal comprises one of the main resources for power and heat generation, along with gas and water resources. Its share in the consumption of primary fuel and energy resources in 2020 amounted to 34.6%. According to the calculation results, the coal production in the Republic in the future may reach 43 million tons, which will lead to the stabilisation of the export supply of coal and the demand for fuel at power plants and boiler houses in the Republic and neighbouring regions. Projects for developing the coal-fired power industry in the Republic rely on the consumption of coal from the South Yakut coal basin. In the optimal forecast balances, the share of coal generally remaining unchanged may range from 37.8 to 38.7% by 2035. It was established that the potential for coal consumption may increase from 3.5 million tons of coil, equivalent in 2020 to 4.1–4.8 million tons of coil equivalent per year. Mining opportunities significantly exceed their demand, both at present and in the future. A system analysis of the obtained results allowed the main factors affecting coal consumption in the long term to be identified. Coal mined in the South Yakut basin comprises a reliable fuel source in the zone of centralised energy supply in the future. In areas of the Republic of Sakha (Yakutia) having underdeveloped infrastructure and low population density, coal from local deposits becomes an alternative to imported fuel if their development is economically and socially justified.
Hydrometallurgical technologies of processing arsenic raw materials
Authors: Vasiliev R. E. , Boduen A. Ya. , Vasilieva A. A.
Published: January 2023

Methods presented in Russian and foreign scientific literature sources for processing high-arsenic copper raw materials to convert arsenic into low-soluble and stable compounds are reviewed. Hydrometallurgical processing methods are shown to be applicable for converting environmentally hazardous components into inert solid wastes while avoiding the formation of gaseous emissions. The isolation of arsenic when processing raw materials involves its oxidation and precipitation in the form of low-soluble and stable compounds. Methods for arsenic oxidation using oxygen, hydrogen peroxide, ozone, mixture of oxygen and sulphur dioxide, sodium hypochlorite are compared. Methods of oxidation by iron and permanganate ions, bacteria (biooxidation), as well as by introducing an activated carbon catalyst, are also considered. Precipitation approaches include neutralization by lime, precipitation of sulphides, co-precipitation of arsenic with iron ions, precipitation of scorodite, and encapsulation technology. As a result of the performed analysis, the authors present a promising approach for solving the problem of processing high-arsenic copper concentrates to comply with standards governing arsenic emissions into the environment, including the comprehensive processing of these raw materials using autoclave oxidation. In addition to the ensuring effective precipitation of arsenic in the form of a low-toxic compound (scorodite), this method can be used to isolate valuable components (copper, gold, silver) with their subsequent extraction into individual finished products. The obtained results establish a direction for a further in-depth study of the problem.
Strategic Communications Of Museum Institutions
Authors: Arkannikova M. S.
Published: January 2023

The paper is dedicated to the analysis of the essence of strategic communications of museums in the context of modern cultural genesis. The ever-increasing transformation of the social environment, associated both with the growing mediatization of society, changes in the museum practices, development of communication technologies and tools, and with the growing role of the audience, which increasingly influences the work of cultural institutions and the mass media, determines the focus of attention of representatives of the relevant museum departments to search for new communication strategies and tactics. In order to comprehend the strategic communications of museum institutions in St. Petersburg, the author conducted a sociological survey of residents and guests of the city about their awareness of the museums of the Northern capital. Fragmentation and insufficiency in measurable indicators of the effectiveness of communication of the museum institutions of the city is noted. It is concluded that the respondents are most aware of the top 3 museums: Hermitage, Russian Museum and Kunstkamera; the majority of respondents are ready to go to these museums in the near future.
Fairytale Character as a Brand: communication strategies of national identification
Authors: Ismailova I. S.
Published: January 2023

The article is devoted to the analysis of fairytale character and its functioning in the context of globalization. Globalization process intensifies reverse tendency: enhancement of tradition and social community integration based on the values of national identity. Fairytale characters are regarded as archetypal representations, which form national identity and traditionality. The linguistic combination of words “fairytale character” and “brand” is regarded as a social spheres interpenetration marker. Fairytale character functions within social, politic, economic spheres, which are diffuse to each other. Hence, a fairytale character starts to be not only cultural symbol, but a marketing strategy object and ideologic platform for social community integration. The projects, the main characters of which are fairy tale characters, are considered as very essential for social communities integrity preservation process. Government, mass media and communication and business have a significant role to play in such projects development. It is shown that, since modern society is characterized by a diffuse interpenetration of social spheres, it can be assumed that a fairy tale character can function as a cultural and as a marketing project.
Digital participatory technologies in the activities of legislative bodies of innovative regions of Russia
Authors: Martynova S. E. , Tumanyan G. V.
Published: January 2023

The article represents the results of a study of digital technologies of the legislative bodies of the constituent entities of the Russian Federation, aimed at joint decisionmaking with the participation of citizens. A new focus of attention is the consideration of the compliance of the development of information and communication technologies of legislative bodies with the level of independence and activity of society in different regions, while the cuttent study is dedicated to the most innovative regions of Russia. This choice is motivated by the fact that the independence and activity of citizens, that is characteristic for innovative territories, creates favorable conditions for the development of co-management technologies. The authors analyse the practice of participatory digital interaction of 17 Russian regions included in the groups of strong and medium-strong innovators. The sudy is based on the analysis of the official documents, relevant sections of official websites, messages on social networks, and news reports for the period 2010–2020. This allowed to determine the major forms of electronic participation of citizens in the activities of the legislative bodies of innovative subjects of the Russia. The results are correlated with the social characteristics of regions and compared with the experience of other countries.
Planejamento, metodologias de ensino e experimentação em ciências no contexto de aulas online na licenciatura em ciências biológicas
Authors: Lunardi Larissa , Emmel Rúbia
Published: January 2023

O estudo relatado neste artigo tem como objetivo compreender as transformações de concepções de licenciandos de Ciências e Biologia acerca das metodologias do ensino de Ciências e as possibilidades de reinvenção de planejamento de aulas on-line em processo de Investigação-Formação-Ação em Ciências na formação inicial de professores. Esta pesquisa apresenta uma abordagem qualitativa e documental, tendo como instrumentos de coleta de dados escritas narrativas de diários de formação de 14 licenciandos em Ciências Biológicas matriculados no componente curricular Prática enquanto Componente Curricular III. A análise da pesquisa foi realizada a partir da Análise Textual Discursiva e seguiu as etapas unitarização, categorização e comunicação. A partir da ATD emergiram duas espirais reflexivas: a) Entrelaçando os fios das reflexões sobre os planejamentos e as metodologias de ensino de Ciências; e b) Reflexões sobre os desafios da Pandemia da Covid-19: (trans)formações necessárias. Por meio da constituição desse mosaico, percebemos que, na medida em que os licenciandos planejam as aulas e pensam sobre as metodologias na PeCC III, emergem as suas compreensões em outra paisagem, revelando a vivência do conhecimento na docência.