bluuebunny/crossref_metadata_2025 huggingface dataset:
Ensuring the security of the PostgreSQL database management system
Authors:   State University of Telecommunications, Bargylevych O. A.
Published: November 2022

This article analyzes the PostgreSQL database management system of a modern enterprise. The basic concept of the database, its types, subtypes and the progressive expansion of the database in the DBMS are also considered. The main settings for improving the security of the DBMS, which had possible ways of improving the security of both the physical and virtual environment, were analyzed. A practical example of obtaining access to the environment and directly to DBMS data with a basic configuration was also carried out, relevant conclusions and notes on possible solutions were made. Recommendations have been developed that should be applied to improve the state of security of the DBMS of a modern enterprise and to avoid cases of loss or distribution of confidential data.
Methodology for choosing countermeasures against insider threats in the organization
Authors:   State University of Telecommunications, Zaikin S. S.
Published: November 2022

The concept of "insider threat" and "insider" is considered in the work. Common methods of cybercriminals' use of insider threats to compromise an organization's network environment to gain access to valuable assets have been identified. The variety of insider threats and their criticality for organizations to combat these threats to reduce risk are explored. It is concluded that neither approach can solve the security problem. It is noted that organizations can implement some basic measures that can reduce the number of cases of insider threats to a minimum based on a combination of formal, informal and technical measures.
Progesterone receptor expression and prediction of benefits of adjuvant radiotherapy in de novo atypical meningiomas after gross-total resection
Authors: Ren Leihao , Cheng Haixia , Chen Jiawei , Deng Jiaojiao , Wang Daijun , Xie Qing , Wakimoto Hiroaki , Hua Lingyang , Gong Ye
Published: November 2022

OBJECTIVE

Benefits of adjuvant radiotherapy (ART) after gross-total resection (GTR) of de novo atypical meningiomas (AMs) are controversial, and factors predictive of radiotherapy benefits in patients with de novo AMs after GTR are unknown. The authors aimed to evaluate the benefits of ART and explore potential factors sensitizing AMs to ART.

METHODS

A total of 231 consecutive patients who were pathologically diagnosed with de novo AMs and treated with GTR (Simpson class I–III resections) from 2010 to 2018 were enrolled in the study. Clinicopathological and prognostic information was collected and analyzed. Univariate and multivariate Cox analyses were used to evaluate prognostic predictors and compare the response to radiotherapy. Propensity score matching (PSM) was used to balance the confounding bias in subgroups.

RESULTS

A total of 138 patients (59.74%) received ART. Progesterone receptor (PR) expression was positive in 157 patients (67.97%). During the mean follow-up period of 76.25 months, 65 patients (28.14%) experienced recurrence and 38 (16.45%) died of tumor progression. For disease-specific survival (DSS), ART was a better prognostic factor via univariate (p = 0.003) and multivariate (p = 0.025) analyses. For progression-free survival (PFS), univariate Cox analysis showed that ART improved PFS (p = 0.013), but multivariate analysis did not (p = 0.068). Positive PR expression (p = 0.019), age 53.5 years or younger (p = 0.012), and Ki-67 7.5% or lower (p = 0.025) were independent prognostic predictors for better PFS. In the subcohort analysis, the beneficial impact of ART was observed in the PR-negative cohort (p = 0.002) but not in the PR-positive cohort (p = 0.86). The heterogeneity analysis demonstrated that the PR-negative cohort was more sensitive to ART than the PR-positive cohort (p = 0.036). ART was not found to be associated with better PFS in younger patients (≤ 53.5 years, p = 0.14), older patients (> 53.5 years, p = 0.085), those with a Ki-67 index ≤ 7.5% (p = 0.068), or those with a Ki-67 > 7.5% (p = 0.13). The contrasting effects of ART in the PR-negative versus PR-positive cohorts remained true even after PSM, confirming that PR-negative, but not PR-positive, de novo AMs benefited from ART after GTR.

CONCLUSIONS

ART was an independent prognostic factor for DSS of patients with de novo AMs treated with GTR (p = 0.025), but not for PFS (p = 0.068). Negative PR expression was a radiosensitive biomarker on PFS for de novo AM patients after GTR.
Surgical cytoreduction of deep-seated high-grade glioma through tubular retractor
Authors: Hajtovic Sabastian , Sun James , Multani Jasjit S. , Herrmann Linda L. , Britton Hannah , Gautreaux Jose , Tortolero Lea , Harrison Gillian , Golfinos John G. , Shepherd Timothy M. , Tanweer Omar , Placantonakis Dimitris G.
Published: November 2022

OBJECTIVE

Maximal safe resection is the goal of surgical treatment for high-grade glioma (HGG). Deep-seated hemispheric gliomas present a surgical challenge due to safety concerns and previously were often considered inoperable. The authors hypothesized that use of tubular retractors would allow resection of deep-seated gliomas with an acceptable safety profile. The purpose of this study was to describe surgical outcomes and survival data after resection of deep-seated HGG with stereotactically placed tubular retractors, as well as to discuss the technical advances that enable such procedures.

METHODS

This is a retrospective review of 20 consecutive patients who underwent 22 resections of deep-seated hemispheric HGG with the Viewsite Brain Access System by a single surgeon. Patient demographics, survival, tumor characteristics, extent of resection (EOR), and neurological outcomes were recorded. Cannulation trajectories and planned resection volumes depended on the relative location of white matter tracts extracted from diffusion tractography. The surgical plans were designed on the Brainlab system and preoperatively visualized on the Surgical Theater virtual reality SNAP platform. Volumetric assessment of EOR was obtained on the Brainlab platform and confirmed by a board-certified neuroradiologist.

RESULTS

Twenty adult patients (18 with IDH–wild-type glioblastomas and 2 with IDH-mutant grade IV astrocytomas) and 22 surgeries were included in the study. The cohort included both newly diagnosed (n = 17; 77%) and recurrent (n = 5; 23%) tumors. Most tumors (64%) abutted the ventricular system. The average preoperative and postoperative tumor volumes measured 33.1 ± 5.3 cm3 and 15.2 ± 5.1 cm3, respectively. The median EOR was 93%. Surgical complications included 2 patients (10%) who developed entrapment of the temporal horn, necessitating placement of a ventriculoperitoneal shunt; 1 patient (5%) who suffered a wound infection and pulmonary embolus; and 1 patient (5%) who developed pneumonia. In 2 cases (9%) patients developed new permanent visual field deficits, and in 5 cases (23%) patients experienced worsening of preoperative deficits. Preoperative neurological or cognitive deficits remained the same in 9 cases (41%) and improved in 7 (32%). The median overall survival was 14.4 months in all patients (n = 20) and in the newly diagnosed IDH–wild-type glioblastoma group (n = 16).

CONCLUSIONS

Deep-seated HGGs, which are surgically challenging and frequently considered inoperable, are amenable to resection through tubular retractors, with an acceptable safety profile. Such cytoreductive surgery may allow these patients to experience an overall survival comparable to those with more superficial tumors.
ПОЛІТИЧНІ АСПЕКТИ БЛАГОДІЙНИХ МАТЧІВ УКРАЇНСЬКИХ ФУТБОЛЬНИХ КЛУБІВ У КРАЇНАХ ЄВРОПИ (У КОНТЕКСТІ РОСІЙСЬКО-УКРАЇНСЬКОЇ ВІЙНИ 2022 Р.
Authors: Кулик Сергій Михайлович
Published: November 2022

Досліджено суспільно-політичні аспекти благодійних матчів українських футбольних клубів «Динамо» (Київ) та «Шахтар» (Донецьк) у країнах Європи у контексті російсько-української війни 2022 р. Ці матчі мали на меті інформувати міжнародну громадськість про повномасштабне збройне вторгнення Росії в Україну та збір коштів для постраждалих («Динамо»), привернути увагу до великої кількості жертв і постраждалих серед дітей («Шахтар»). Автор стверджує, що благодійне європейське турне українських клубів позитивно вплинуло на імідж фанів і вболівальників клубів, європейського футболу, країн загалом, сприяло покращенню взаєморозуміння між народами. Найбільша кількість «матчів за мир» пройшли у тих країнах, які найбільше допомагають Україні у захисті її територіальної цілісності і самі пережили жахіття війни. Це – Польща, Туреччина і Хорватія. Інші країни також підтвердили свою політичну підтримку України і на «спортивному» фронті. Політичні аспекти товариських матчів українських клубів охопили різні сфери суспільного життя. Серед них: історія (міста держав Європи), інформаційна (боротьба з фейками), політична культура (громадянська позиція відомих осіб, акції і поведінка гравців, глядачів), спортивна (відмова клубів провести матчі), мистецтво (проведення перформансів). Політичні аспекти мали різні вияви: візуальний (оформлення стадіонів, форма футболістів, банери і плакати глядачів), вербальний (скандування і кричалки фанів) і медійний (маніпулювання інформацією).
Методологія статті ґрунтується на логічному, порівняльному, статистичному та когнітивному методах дослідження.
Génesis y censura de Los niños tontos de Ana María Matute
Authors: Baptista Gonzalo
Published: November 2022

Ana María Matute publicó Los niños tontos (1956) en un momento en que su producción estuvo asediada por la censura franquista. Los estudios de dicha obra, enfocados mayormente en lo formal, temático y estilístico, suelen dejar afuera el eje censor que entorpeció su andadura, como si el franquismo nunca hubiera existido. Este estudio examina las condiciones materiales de proceso de composición siguiendo los archivos censores y las publicaciones periódicas del momento. Esta investigación, centrada en el lustro que media desde el anuncio de la obra (1952) hasta su recepción (1957), aporta algunos datos relevantes que amplían el valor de la misma, dado el contexto analizado. Según se desprende, la obra no fue concebida con la intención de formar un volumen sino como una válvula de escape creativa. Si bien dio a conocer 3 microrrelatos en 1953, no salió publicado el conjunto hasta los últimos días de 1956. En estos tres años, hubo grandes cambios en la vida de Matute, siendo la censura una de las más incisivas en su producción narrativa. Al momento de presentarla a recepción censora, esta rechazó los microtextos al considerarlos “verdaderas pesadillas”. ¿Qué impacto tuvo dicho juicio ideológico severo en su obra? Varias entrevistas recogieron su actitud, aquí rescatada.
Nature has the answers: Discovering and validating natural bioactives for human health
Authors: Kussmann Martin , Cunha David Henrique Abe
Published: November 2022

Nature has the answer to many of our questions about human health. Natural bioactives, especially when derived from sustainable plant and food sources, provide a plethora of molecular solutions to nutritionally actionable, chronic conditions. The spectrum of these conditions, such as metabolic, immune, and gastrointestinal disorders, has changed with prolonged human life span, which should be matched with an appropriately extended health span: “adding years to life and adding life to years”. Natural bioactives can be classified into micronutrients (i.e., vitamins, and minerals), phytonutrients, bioactive peptides,and pre-, pro-, post- and synbiotics. Bioactives act in concert and interact with the human host and its (gut) microbiome. Therefore, the future of translational science on natural bioactives is being built on a: (a) systems-level rather than reductionist approaches to understanding their interdependent, and at times additive functions, as well as their interactions with the human host and (gut) microbiome; and (b) the leverage of artificial intelligence for discovery and validation, thereby substantially reducing the time from idea and concept to finished solutions for consumers and patients. Rather than focusing on a particular class of bioactive food molecules, as often done in molecular food and nutrition articles, this review embraces a broad range of these bioactives and puts them into perspective regarding a more efficient and sustainable leverage of the biochemical richness of plants and foods for its diverse positive effects on human health.Keywords: bioactive, micronutrient, phytonutrient, prebiotic, probiotic, synbiotic, peptide, artificial intelligence, discovery, validation
O MARKETING DE RELACIONAMENTO E AS RELAÇÕES ENTRE EXPERIÊNCIA, SATISFAÇÃO, CONFIANÇA E COMPROMISSO, FAVORECEM A LEALDADE DE MARCAS PRÓPRIAS EM SUPERMERCADOS
Authors: Alves Allan Carlos , Sousa Cidoval Morais de , Ramalho Ângela Maria Cavalcanti , Silva Sandra Sereide Ferreira da , Dantas Ricardo Ferreira
Published: November 2022

O presente artigo tem como objetivo analisar se a satisfação dos clientes de marcas próprias decorrentes a partir da experiência, da confiança e do compromisso da marca, favorecendo a lealdade, a partir de uma perspectiva do Marketing de Relacionamento e consequentemente, a aceitação da marca em supermercados no município de Campina Grande, Paraíba. O estudo é transversal, conduzido mediante pesquisa de campo com 823 clientes. A análise de medição, deu-se com análise fatorial exploratória e a validação da confiabilidade pelo fator de alfa Cronbach. De acordo com os resultados, a gestão adequada de produtos de marcas próprias favorece a aceitação desses produtos ao público consumidor, pois corroboram no amadurecimento dos clientes, tornando-os experientes em comprar produtos de marca própria.
ANÁLISE DA EFICIÊNCIA DO ATENDIMENTO DO SISTEMA ÚNICO DE SAÚDE NOS MUNICÍPIOS PARANAENSES
Authors: Vasconcelos Marta Chaves , Zdziarski Alaís Daiane , Westarb Cruz June Alisson , Da Silva Wesley Vieira , Da Silva Christian Luiz
Published: November 2022

O atual cenário da economia brasileira tem colocado intrigantes desafios a gestão dos recursos destinados a saúde pública brasileira, sendo essa uma das maiores crises da sua história, tal fato se deve aos seguintes fatores: aumento da demanda e ausência de efetividade e gestão. Nesse sentido, o presente estudo tem como objetivo analisar o nível de eficiência do atendimento do Sistema Único de Saúde (SUS) nos municípios paranaenses (Brasil) referente ao ano de 2015. As técnicas utilizadas para mensurar a eficiência foram Data Envelopment Analysis (DEA) e Free Disposal Hull (FDH). A utilização de duas técnicas de análise pode melhor auxiliar no planejamento e na tomada de decisões gerenciais para a alocação de recursos. Os resultados indicam que ocorrem diferenças significativas no nível de eficiência dos municípios paranaenses, por ambas as técnicas.
LAS UNIONES ADUANERAS SUDAMERICANAS ¿HAN GENERADO UN EFECTO SPIN-OFF MÁS ALLÁ DEL COMERCIAL?
Authors: Herrero Olarte Susana , Efstathios Stefos
Published: November 2022

Las uniones aduaneras se crean no sólo para generar comercio sino por su efecto spin-off, es decir, por su capacidad para dar lugar a más procesos de integración en otros ámbitos que también contribuyan al desarrollo. En Sudamérica se han creado cinco uniones aduaneras relativamente relevantes en términos de creación de comercio que no han servido de base para mayores niveles de integración. Su limitado éxito se relaciona con las asimetrías entre los países que forman los grupos. En esta investigación se estudia si las uniones aduaneras han aumentado la convergencia entre los indicadores económicos, sociales y políticos, lo que justificaría más propuestas políticas que contribuyesen activamente a la unión como grupo. La aplicación del análisis estadístico multidimensional utilizando el método de agrupación jerárquica con variables socioeconómicas y políticas muestra que, en los ámbitos considerados, no hay grupos entre los países que forman las uniones aduaneras en Sudamérica.
INFLUÊNCIA DA RESTRIÇÃO FINANCEIRA E DA CRISE FINANCEIRA GLOBAL NA EFFECTIVE TAX RATE DE EMPRESAS LATINO-AMERICANAS
Authors: França Robério Dantas , Damascena Luzivalda Guedes , Duarte Filipe Coelho de Lima , Leite Filho Paulo Amilton Maia
Published: November 2022

Objetivou-se analisar se as empresas latino-americanas restritas financeiramente (RF), e em períodos de crise financeira global, reduzem a Effective Tax Rate (ETR). A amostra foi composta pelas firmas não financeiras de capital aberto da América Latina no período de 2006 a 2015, sendo 5.328 firmas-ano. Confirmou-se uma associação entre RF e ETR, porém, não observadas em todos os países latino-americanos. Considera-se que devido as diferenças institucionais entre esses países os resultados não foram uniformes, mas os achados dispõem de informações relevantes sobre o comportamento das firmas latino-americanas perante situação de restrição financeira e períodos de crise nas possíveis práticas de tax avoidance.
ELECTRICITY LOSSES AND POLITICAL REGIMES IN LATIN AMERICA
Authors: López-Cariboni Santiago
Published: November 2022

Here I discuss the idea that irregular access to electricity can be understood as a program of informal social transfers to provide insurance in volatile, developing countries. I analyze the expected consequences of democratization for the provision of irregular electricity. In democracies from developing countries, incumbents are challenged with the need to provide insurance given the highly volatile contexts in which they rule, and the absence of consumption-smoothing mechanisms to protect the population against recurrent negative shocks. I show descriptive evidence that transmissions and distribution (T\&D) losses of electricity are counter-cyclical in democratic countries but are not in autocracies.
O AMBIENTE DE NEGÓCIOS E A COMPETITIVIDADE TURÍSTICA
Authors: Chim-Miki Adriana Fumi , Domareski-Ruiz Thays Cristina
Published: November 2022

A combinação das vantagens competitivas específicas de uma indústria com as vantagens comparativas de uma nação gera um contexto propício ao desenvolvimento. Este artigo analisa fatores do ambiente de negócios considerando o impacto da conjuntura macro sobre o setor turístico. Uma análise de regressão verificou a significância de 14 variáveis sobre o pilar 1 do Travel & Tourism Competitiveness Index (TTCI) em uma amostra de 126 países utilizando como variável de controle o estágio de desenvolvimento do país. Observou-se que os maiores impeditivos de um ambiente de negócios competitivo se relacionam com requerimentos administrativos, burocracia, processos de licenciamento e corrupção.
THE LAW OF GIBRAT APPLIED IN THE MANUFACTURING SMES OF ECUADOR
Authors: SIMBAÑA LUIS ENRIQUE , Vargas-Negrete Gabriela , Morales-Navarrete Alexandra , Rodríguez-Gulías María , Rodeiro-Pazos David
Published: November 2022

The present investigation analyses the relationship between the size of the companies and their growth in contrast to Gibrat's law, for which it analyses a sample of 2,915 Ecuadorian manufacturing companies during 2012-2016. We apply regression by quantiles for panel data in order to establish the effect of variables with business characteristics and financial performance on the company's growth measured through sales and the number of employees. The results show that smaller companies grow at higher rates than larger companies. This evidence allows us to reject Gibrat's law since there is a negative relationship between the size and growth of manufacturing companies.
ANÁLISE MULTICRITERIAL DA COMPETITIVIDADE EMPRESARIAL SOB TRÍPLICE PERSPECTIVA: FINANCEIRA, GOVERNANÇA CORPORATIVA E SUSTENTABILIDADE
Authors: De Carvalho José Ribamar Marques , Chim-Miki Adriana Fumi , Da Silva Cibele Cristina , De Araujo Carvalho Enyedja Kerlly Martins
Published: November 2022

Através de Análise Multicritério com Método PROMETHEE II analisou-se o desempenho empresarial sob três lógicas: financeira, governança corporativa e sustentabilidade. A pesquisa é aplicada, descritiva e quantitativa. Onze indicadores foram analisados em 19 empresas selecionadas do site BM&F Bovespa consideradas do setor não-cíclico (atualmente nomeada de B3). Os resultados indicaram um ranking de competitividade empresarial em direção a governança corporativa, bem como corroboram achados anteriores relacionando o desempenho financeiro, a governança corporativa e a sustentabilidade empresarial. O estudo valida um método para apoiar a decisão de investidores, produzindo um ranking de competitividade empresarial a partir de critérios financeiros e não-financeiros
EARNINGS QUALITY AND IFRS: ANALYSIS OF BRAZILIAN COMPANIES OF THE BANKING SECTOR LISTED ON THE B3
Authors: Silva Josimar Pires da , Fraga Jaqueline Cristina , Noriller Rafael Martins , Lopes Antonio Carlos Vaz
Published: November 2022

The objective of this research is to analyze whether there was an increase in the quality of the information of companies of the banking sector listed on Brazil, Bolsa, Balcão (B3), by the adoption of accounting standards of the IASB, and whether the earnings persistence of publicly held companies in the banking sector increased by the adoption of the IFRS standard and whether the fair value had any impact on this relationship. The sample comprises 25 companies from the banking sector of B3 over a period of 12 calendar years, i.e., from 2004 to 2009 and from 2011 to 2016. The tests were carried out considering net income. We used data from published financial statements made available to the general public on the B3 website. The results confirmed only the first hypothesis, which demonstrated that the quality of Brazilian banking sector earnings, based on persistence, increased by the adoption of international accounting standards. On the other hand, the results pointed out that the realization of the adjustment to fair value of financial instruments did not change the persistence of earnings of all 25 companies analyzed.
MERCADO DE CAPITAIS NOS CENÁRIOS DE CRISE EM MERCADOS EMERGENTES
Authors: Furtado Filho Flávio Luiz , Flach Leonardo , Sallaberry Jonatas
Published: November 2022

Esta pesquisa tem por objetivo revelar o comportamento e as relações da variação do valor de mercado em relação aos indicadores econômico-financeiros em cenários de crise de mercados emergentes. A análise empregou 224 empresas listadas na bolsa de valores brasileira, entre 2010 e 2017. Os resultados revelaram relação significativa em todos os momentos do valor de mercado e o nível de alavancagem financeira. Somente nos cenários de crise que a relação com a liquidez e a composição do endividamento foi consistente; na crise, os resultados revelaram uma série contínua de redução no valor de mercado.
A fast method for discovering suitable number of clusters for fuzzy clustering
Authors: Hsu Ping-Yu , Nguyen Phan-Anh-Huy
Published: November 2022

One main problem of Fuzzy c-Means (FCM) is deciding on an appropriate number of clusters. Although methods have been proposed to address this, they all require clustering algorithms to be executed several times before the right number is chosen. The aim of this study was to develop a method for determining cluster numbers without repeated execution. We propose a new method that combines FCM and singular value decomposition. Based on the percentage of variance, this method can calculate the appropriate number of clusters. The proposed method was applied to several well-known datasets to demonstrate its effectiveness.
RBSP-Boosting: A Shapley value-based resampling approach for imbalanced data classification
Authors: Chong Weitu , Chen Ningjiang , Fang Chengyun
Published: November 2022

Addressing the problem of imbalanced data category distribution in real applications and the problem of traditional classifiers tending to ensure the accuracy of the majority class while ignoring the accuracy of the minority class when processing imbalanced data, this paper proposes a method called RBSP-Boosting for imbalanced data classification. First, RBSP-Boosting introduces the Shapley value and calculates the Shapley value for each sample of the dataset through the truncated Monte Carlo method. Moreover, the proposed method removes the noise data according to the Shapley value and undersamples the samples with Shapley values less than zero in the majority class. Then, it takes the Shapley value as the weight of the sample and oversamples the minority class according to the weight. Finally, the new dataset is trained on the classifier through the AdaBoost classifier. Experiments are conducted on nine groups of UCI and KEEL datasets, and RBSP-Boosting is compared with four sampling algorithms: Random-OverSampler, SMOTE, Borderline-SMOTE and SVM-SMOTE. Experimental results show that the RBSP-Boosting method in the three evaluation metrics of AUC, F-score and G-mean, compared with the best performance of the four comparison algorithms, increases by 4.69%, 10.3% and 7.86%, respectively. The proposed method can significantly improve the effect of imbalanced data classification.
Credit scoring based on a Bagging-cascading boosted decision tree
Authors: Zou Yao , Gao Changchun , Xia Meng , Pang Congyuan
Published: November 2022

Establishing precise credit scoring models to predict the potential default probability is vital for credit risk management. Machine learning models, especially ensemble learning approaches, have shown substantial progress in the performance improvement of credit scoring. The Bagging ensemble approach improves the credit scoring performance by optimizing the prediction variance while boosting ensemble algorithms reduce the prediction error by controlling the prediction bias. In this study, we propose a hybrid ensemble method that combines the advantages of the Bagging ensemble strategy and boosting ensemble optimization pattern, which can well balance the tradeoff of variance-bias optimization. The proposed method considers XGBoost as a base learner, which ensures the low-bias prediction. Moreover, the Bagging strategy is introduced to train the base learner to prevent over-fitting in the proposed method. Besides, the Bagging-boosting ensemble algorithm is further assembled in a cascading way, making the proposed new hybrid ensemble algorithm a good solution to balance the tradeoff of variance bias for credit scoring. Experimental results on the Australian, German, Japanese, and Taiwan datasets show the proposed Bagging-cascading boosted decision tree provides a more accurate credit scoring result.
Study on static levitation and dynamic characteristics of diamagnetic levitation system
Authors: Zhang Kun , Zhao Haojie , Feng Wei , Wu Zhaoyun , Liu Baoguo
Published: November 2022

Diamagnetic levitation is a physical phenomenon that uses the diamagnetism of diamagnetic materials to stably levitate itself in an external strong magnetic field, which has great potential in the areas of sensors, actuators, and biomedicine. In this paper, a typical diamagnetic levitation system composed of a NdFeB permanent magnet array and pyrolytic graphite sheet is built. The levitation mechanism of the diamagnetic levitation system is analyzed theoretically, the main factors affecting the static levitation of the pyrolytic graphite sheet are determined, and the influence of structural parameters on the levitation height of the pyrolytic graphite sheet is studied. Furthermore, the dynamic and numerical simulation models of the diamagnetic levitation system are established, and the dynamic response characteristics of the pyrolytic graphite sheet are analyzed under different vibration excitation. This study provides a reference for developing applications based on the diamagnetic levitation system.
A lightweight IoT firmware vulnerability detection scheme based on homology detection
Authors: Liu Donglan , Zhang Hao , Wang Rui , Zhang Fangzhe , Sun Lili , Liu Xin , Ma Lei
Published: November 2022

In recent years, with the rapid development of IoT technology, hundreds of millions of IoT devices have been manufactured and applied, and the subsequent IoT attacks have become more and more severe. The complex and diverse architecture of IoT devices, coupled with the lack of security development specifications by IoT device manufacturers, and the widespread misuse and abuse of code, lead to the proliferation of IoT vulnerabilities. The conventional IoT vulnerability detection scheme is expensive to operate, and the implementation technology is complex, which is difficult to be fully promoted. This paper proposes a lightweight IoT firmware vulnerability detection scheme based on homology detection. The processing is converted into a feature vector, which effectively reduces the platform dependence. Combined with the database technology, the storage and retrieval efficiency is increased, and the same-origin vulnerability detection is realized by calculating the cosine similarity of the vector. The experimental results show that this scheme can effectively identify the vulnerabilities in firmware.
Towards enhancing emotion recognition via multimodal framework
Authors: Akalya devi C. , Karthika Renuka D. , Pooventhiran G. , Harish D. , Yadav Shweta , Thirunarayan Krishnaprasad
Published: November 2022

Emotional AI is the next era of AI to play a major role in various fields such as entertainment, health care, self-paced online education, etc., considering clues from multiple sources. In this work, we propose a multimodal emotion recognition system extracting information from speech, motion capture, and text data. The main aim of this research is to improve the unimodal architectures to outperform the state-of-the-arts and combine them together to build a robust multi-modal fusion architecture. We developed 1D and 2D CNN-LSTM time-distributed models for speech, a hybrid CNN-LSTM model for motion capture data, and a BERT-based model for text data to achieve state-of-the-art results, and attempted both concatenation-based decision-level fusion and Deep CCA-based feature-level fusion schemes. The proposed speech and mocap models achieve emotion recognition accuracies of 65.08% and 67.51%, respectively, and the BERT-based text model achieves an accuracy of 72.60%. The decision-level fusion approach significantly improves the accuracy of detecting emotions on the IEMOCAP and MELD datasets. This approach achieves 80.20% accuracy on IEMOCAP which is 8.61% higher than the state-of-the-art methods, and 63.52% and 61.65% in 5-class and 7-class classification on the MELD dataset which are higher than the state-of-the-arts.
Estimation of properties of ultra great workability concrete by optimized ANFIS models
Authors: Wang Yaqin , Xu Jing , Luo Chen
Published: November 2022

The mechanical properties of the ultra-great workability concrete (UGWC) are deeply related to the weights of components, curing period and condition, and occasionally property of admixtures. This study aimed to appraise the usefulness of the adaptive neuro-fuzzy inference system (ANFIS) technique for forecasting the compressive strength of UGWC and enhancing the accuracy of the literature. To outline the forecasting process, two improved ANFIS were suggested, in which determinative variables of them were determined by metaheuristic algorithms named imperialist competitive algorithm (ICA) and multi-verse optimizer (MVO) algorithms. For this purpose, 170 data samples were collected from published literature separated accidentally for the train and test phase. The calculated performance criteria for proposed ANFIS models demonstrate that both ICA-ANFIS and MVO-ANFIS models can result in justifiable workability for fc of the UGWC prediction procedure. The MVO-ANFIS model could outperform ICA-ANFIS regarding all criteria. For instance, the value of R2 and VAF for the ICA-ANFIS model are roughly smaller than the MVO-ANFIS model, at 0.9012 and 90% in the training dataset and 0.8973 and 89% in the testing stage, respectively. While the best values of criteria have belonged to the MVO-ANFIS model, with R2 at 0.937 and 0.944 for the train and test phases, respectively. Overall, the hybrid MVO-ANFIS model can obtain higher workability than ICA-ANFIS and literature (R2 at 0.801), where causes are recognized as the proposed model.
An energy efficient Dantzig Wolfe Decomposition based parallel optimization for software-defined industrial IoT
Authors: Sathish S. , Kavitha K. , Poongodi J.
Published: November 2022

The industrial world including the merits of Internet of Things (IoT) paradigm has wide opened the evolution of new digital technology to facilitate promising and revolutionizing dimensions in diversified industrial application. However, handling the deployment challenges of security awareness, energy consumption, resource optimization, service assurance and real-time big data analytics in Industrial IoT Networks is a herculean task. In this paper, Dantzig Wolfe Decomposition Algorithm-based Service Assurance and Parallel Optimization Algorithm (DWDA-SAPOA) is proposed for guaranteeing QoS in energy efficient Software-Defined Industrial IoT Networks. This DWDA-SAPOA is proposed for achieving minimized energy consumption on par with the competitive network routing algorithms which fails in satisfying the strict requirements of heterogeneous Quality of Service (QoS) during the process of optimizing resources under industrial communications. It is proposed as a service assurance and centralized route optimization strategy using the programmability and flexibility characteristics facilitating by the significant Software Defined Networking (SDN) paradigm which is implemented over a multi-layer programmable industrial architecture. It supports bandwidth-sensitive service and ultra-reliable low-latency communication type of heterogeneous flows that represents a routing optimization problem which could be potentially modelled as a multi-constrained shortest path problem. It further adopts Dantzig Wolfe Decomposition Algorithm (DWDA) to handle the complexity of NP-hard involved in solving the multi-constrained shortest path problems. The simulation experiments of the proposed DWDA-SAPOA prove its predominance in minimizing energy consumption by 24.28%, flow violation by 19.21%, packet loss by 21.28%, and end-to-end delay by 29.82%, and bandwidth utilization by up to 26.22% on par with the benchmarked QoS provisioning and energy-aware routing problem.
A survey of multi-class imbalanced data classification methods
Authors: Han Meng , Li Ang , Gao Zhihui , Mu Dongliang , Liu Shujuan
Published: November 2022

In reality, the data generated in many fields are often imbalanced, such as fraud detection, network intrusion detection and disease diagnosis. The class with fewer instances in the data is called the minority class, and the minority class in some applications contains the significant information. So far, many classification methods and strategies for binary imbalanced data have been proposed, but there are still many problems and challenges in multi-class imbalanced data that need to be solved urgently. The classification methods for multi-class imbalanced data are analyzed and summarized in terms of data preprocessing methods and algorithm-level classification methods, and the performance of the algorithms using the same dataset is compared separately. In the data preprocessing methods, the methods of oversampling, under-sampling, hybrid sampling and feature selection are mainly introduced. Algorithm-level classification methods are comprehensively introduced in four aspects: ensemble learning, neural network, support vector machine and multi-class decomposition technique. At the same time, all data preprocessing methods and algorithm-level classification methods are analyzed in detail in terms of the techniques used, comparison algorithms, pros and cons, respectively. Moreover, the evaluation metrics commonly used for multi-class imbalanced data classification methods are described comprehensively. Finally, the future directions of multi-class imbalanced data classification are given.
AUTOMATION OF GEODESIC MONITORING HIGH-RISE STRUCTURES
Authors: Medvedskyi Yurii , Annenkov Andriy , Isayev Oleksandr , Demianenko Roman
Published: November 2022

The article considers the existing methods used in the problem of geodetic monitoring of structures, analyzes the possibilities and gives a preliminary assessment of the accuracy of their use in monitoring high-rise structures. Methods have been identified that allow obtaining measurement results with a high sampling rate and have the potential for automation. Methods have been identified that allow solving the problem of calculating the daily fluctuations of a structure from the effects of solar radiation and wind load separately from the values of heel and draft.
Ionometric sensor for express determination of hexamethylenetetramine
Authors:   Ukrainian State University of Chemical Technology, Volnyanska O.V. , Mironyak M.O. ,   Ukrainian State University of Chemical Technology, Labyak O.V. ,   Ukrainian State University of Chemical Technology, Nikolenko M.V.
Published: November 2022

The article is devoted to the development of an ionometric sensor for the determination of hexamethylenetetramine (HMTA). It was found that poorly soluble complex compounds with the composition (HMTA)3(PMo12O40)2 and (HMTA)3(PW12O40)2 are formed as a result of the interaction of the cation of the test substance with the anions of heteropoly acids. The obtained compounds were used as electrode active substances for polyvinyl chloride membranes of ionometric sensors. Phthalic acid derivatives (dibutyl and dioctyl phthalates) were used as solvents for plasticized membranes. The optimal composition of the membranes was established. The dependences of the electrochemical properties of the obtained sensor membranes on various factors were studied. This made it possible to choose the optimal conditions for the operation of the ionometric sensor. The response time of the sensor does not exceed 3 minutes, and the service life of the membrane (about 40 days) allows performing determination without replacement. The detection limit of hexamethylenetetramine using this sensor is 1.010–5 mol/l, and quantitative determination can be carried out in a fairly short time (5–10 min).
Influence of R2O3 (R=Al, La, Y) on the structure and properties of strontium borosilicate glasses
Authors:   Ukrainian State University of Chemical Technology, Hordieiev Yu.S. , Zaichuk A.V. ,   Ukrainian State University of Chemical Technology
Published: November 2022

The influence of R2O3 (R=Al, La, Y) on the structure, thermal, and some physical properties of strontium borosilicate glasses have been investigated by differential thermal analysis, X-ray diffraction, and Fourier-transform infrared spectroscopy. Fourier-transform infrared spectroscopy results showed that the network of the investigated glasses consists mainly of BO3, BO4, and SiO4 structural units. The influence of R2O3 on the properties of strontium borosilicate glasses depends on the structural role of R3+ ions. The experimental results suggest that Al3+ ions act as intermediate in the investigated composition range, while La3+ and Y3+ ions act as modifiers and depolymerize the glass network. The obtained results showed that the glass transition temperature (610–6600С), dilatometric softening temperature (640–6750С), and molar volume (25.03–29.22 cm3/mol) values of the investigated glasses were increased with equimolar substitution of SrO by R2O3. The thermal expansion coefficient (6.8–9.5 ppm/K) of the investigated glasses was found to decrease with increasing the R2O3 content. The obtained results showed that the density (3.03–3.68 g/cm3) values of the investigated glasses were increased with increasing the Y2O3 and La2O3 content and decreased with increasing the Al2O3 content. The tendency to crystallize is higher in glasses containing La2O3 compared to glasses containing Y2O3 or Al2O3. The results obtained in this study indicate that the investigated glasses can be potential candidates for advanced aerospace and electronic applications as heat-resistant electrical insulating glass- and glass-ceramic-to-metal seals and coatings.
The use of oligodiurethane diisocyanates in cellulose triacetate compositions
Authors:   Ukrainian State University of Chemical Technology, Kuzmenko M.Ya. , Shapka V.Kh. , Kuzmenko O.M. , Khotinec B.O. , Filinska T.G.
Published: November 2022

We performed the studies on the use of oligodiurethane diisocyanates as an additive to a solution of triacetate cellulose polymer. It was shown that these compounds are effective additives and can be used as structural plasticizers of supramolecular formations of triacetate cellulose (in small quantities of 0.01–0.075 wt.% with respect to the weight of triacetate cellulose), which allows adjusting the viscosity of the solution at the stage of casting films in a wide range. In addition, the investigated compounds are effective modifiers of the properties of the obtained film materials (they approximately double the tensile strength of films, their relative elongation and relative hardness). The improvement in physical-mechanical properties of the test film samples is due to the presence of polar urethane groups in the structure of the additive, which are characterized by higher values of total volumetric energy of cohesive interaction than those of phthalate or adipinate oligomers known as plasticizers.
Phase and structural transformations of water during ice melting
Authors:   Ukrainian State University of Chemical Technology, Nefedov V.G. , Matveev V.V. ,   Ukrainian State University of Chemical Technology
Published: November 2022

The processes of phase transformation of water during ice melting are considered. Possible structures of liquid water are analyzed, corresponding to the results of experimental measurements and computer simulation. It is shown that when ice melts, the tridymite structure breaks down into individual clusters, the lifetime of which ranges from 2 to 8 ps and increases with an increase in their molecular weight. A sharp increase in the density of liquid water at 00C is explained by the formation of clathrates during the introduction of water molecules into the cavity of the structure and an increase in the degree of coordination from 4.0 to 4.34. The most stable are water clusters, consisting of 12–20 molecules, the mixture of which determines the density of the liquid phase. Molecules in the middle of clusters can form additional hydrogen bonds with their nearest neighbors in the cluster framework. Thus, one or two framework molecules can have three acceptor and two donor bonds of A3D2 type. The central molecule is most likely of type A1D2 or A1D1. An example of calculating the density of water when taking into account clathrates and vacancies is given.
Popular Culture as the Practice of Creating Meanings
Authors: Нurova Inna
Published: November 2022

The purpose of the article is to conceptualise the phenomenon of modern popular culture as a cultural practice of creating meanings. Methodology. General scientific research methods were applied: analysis and synthesis were used during the review of the main studies of popular culture theorists, by virtue of using systematic method, popular culture was reviewed as a whole, with the coordination of its components, comparative methods was used to collate the features of popular culture with others. The scientific novelty is that the definition of popular culture has been clarified from the perspective of modern Ukrainian cultural studies, considering the meaning-creation processes of its makers. Conclusions. Popular culture is a type of modern culture that recognises the importance of the ordinary, mundane, while everyday life is perceived as an important component of cultural formation. In everyday life, meaning-creation occurs when popular culture makers are not trained specialists, but rather ordinary people, consumers of cultural products, who imbue them with feelings and emotions, give them meaning, based on their own opinions and customs. Such vision allows us to move from a simplified view of the hierarchy of "high" and "low" cultures to a more complex multi-layered picture of the functioning of modern culture.

Key words: popular culture, Cultural Studies, cultural formation, lifeworld, everyday life, cultural practices, sense formation, creation of meanings.
Reporte de Mercados Financieros - primer trimestre de 2018
Authors: Vargas Hernando , Cardozo Pamela , Rojas Juan Sebastián , Romero José Vicente , Lemus Juan Sebastián , Martínez Diego Alejandro , Mendoza Andrés Mauricio , Reyes María Fernanda , Rojas Luis Alejandro , Venegas Tatiana , Vergara Daniel Ricardo , Ramírez Efraín
Published: November 2022

El Banco de la República (BR) genera información para la toma de decisiones, la rendición de cuentas y la difusión al público. En particular, el Reporte de Mercados Financieros está enmarcado dentro del principio de difusión al público y contribuye a cumplir con el servicio que presta el Banco de ofrecer información e investigación económica de calidad.
Reporte de Mercados Financieros - primer trimestre de 2019
Authors: Vargas Hernando , Cardozo Pamela , Rojas Juan Sebastián , Quicazán Carlos Andrés , Hurtado Jorge Luis , León Laura Viviana , Martínez Diego Alejandro , Mateus Julián Camilo , Mendoza Andrés Mauricio , Venegas Tatiana , Vergara Daniel Ricardo , Perilla Carlos Mateo , Villamil Santiago
Published: November 2022

El Banco de la República (BR) genera información para la toma de decisiones, la rendición de cuentas y la difusión al público. En particular, el Reporte de Mercados Financieros está enmarcado dentro del principio de difusión al público y contribuye a cumplir con el servicio que presta el Banco de ofrecer información e investigación económica de calidad.
Reporte de Mercados Financieros - segundo trimestre de 2017
Authors: Vargas Hernando , Cardozo Pamela , Rojas Juan Sebastián , Romero José Vicente , Lemus Juan Sebastián , Martínez Diego Alejandro , Mendoza Andrés Mauricio , Reyes María Fernanda , Rojas Luis Alejandro , Venegas Tatiana , Vergara Daniel Ricardo , Roberto Vargas Valeria
Published: November 2022

El Banco de la República (BR) genera información para la toma de decisiones, la rendición de cuentas y la difusión al público. En particular, el Reporte de Mercados Financieros está enmarcado dentro del principio de difusión al público y contribuye a cumplir con el servicio que presta el Banco de ofrecer información e investigación económica de calidad.
Reporte de Mercados Financieros - tercer trimestre de 2018
Authors: Vargas Hernando , Cardozo Pamela , Rojas Juan Sebastián , Romero José Vicente , León Laura Viviana , Martínez Diego Alejandro , Mateus Julián Camilo , Mendoza Andrés Mauricio , Reyes María Fernanda , Vergara Tatiana , Vergara Daniel Ricardo , Ramírez Efraín , Romero Laura Alejandra
Published: November 2022

El Banco de la República (BR) genera información para la toma de decisiones, la rendición de cuentas y la difusión al público. En particular, el Reporte de Mercados Financieros está enmarcado dentro del principio de difusión al público y contribuye a cumplir con el servicio que presta el Banco de ofrecer información e investigación económica de calidad.
Reporte de Mercados Financieros - cuarto trimestre de 2017
Authors: Vargas Hernando , Cardozo Pamela , Rojas Juan Sebastián , Romero José Vicente , Lemus Juan Sebastián , Martínez Diego Alejandro , Mendoza Andrés Mauricio , Reyes María Fernanda , Rojas Luis Alejandro , Venegas Tatiana , Vergara Daniel Ricardo , Narváez Lara Sergio Andrés , León García Juan David
Published: November 2022

El Banco de la República (BR) genera información para la toma de decisiones, la rendición de cuentas y la difusión al público. En particular, el Reporte de Mercados Financieros está enmarcado dentro del principio de difusión al público y contribuye a cumplir con el servicio que presta el Banco de ofrecer información e investigación económica de calidad.