bluuebunny/crossref_metadata_2025 huggingface dataset:
Evaluating technology intelligence system efficiency
Authors: Torres P. Luz Marina , Castellanos Domínguez Óscar Fernando , Jiménez H. Claudia Nelcy
Published: November 2022

Formalised intelligence systems in organisations lead to identifying their technological abilities/capabilities and changes in their environment by transforming data into knowledge having strategic value. Technology intelligence systems (TIS) have emerged, involving the suitable incorporation of technology into production and entrepreneurial systems, thereby enabling their management and generating the basis for developing innovation. This article describes the work involved in defining a subsystem allowing TIS implementation to be followed-up and evaluated. The evolution of technological intelligence was thus reviewed; the pertinent literature regarding measuring TIS efficiency was analysed. A model involving the system´s main variables was then constructed; its simulation was based on implementing intelligence in several agro-industrial chains. The model´s main contributions to optimum TIS performance were then considered.
A software tool for teaching and training how to build and use matrixes in strategic information systems planning
Authors: Arias Sanabria Javier Andrés , Cortés Aldana Félix Antonio , Córtes Aldana Jaime Orlando
Published: November 2022

Strategic information systems planning (SISP) allows an organisation to determine a portfolio of computer-based applications to help it achieve its business objectives. IBM's business system planning for strategic alignment (BSP/SA) is an important technique for developing a strategic plan for an entire company's information resource. BSP/SA has been described in terms of stages and the specific tasks within them. Tasks are usually done manually and require some experience. This work was thus aimed at presenting a computer-based application that automates two of the most important tasks in BSP/SA methodology: process-organisation matrix (POM) and processes-data classes-matrix (PDM). Special emphasis was placed on analysing, designing and implementing systems development life-cycle for developing the software. An important part of the analysis consisted of conducting a literature review and the semi-structured interviews with some experts in SISP. A special contribution of the present work is the design and implementation of statistical reports associated with each matrix. Automating this task has facilitated students being able to analyse POM and PDM during SISP workshops forming part of the Information Systems Management course (Systems Engineering, Universidad Nacional de Colombia). Results arising from the workshops have also been improved.
Developing speed control for a permanent magnet DC motor using rapid control of prototyping techniques
Authors: Hoyos Velasco Fredy Edimer , Younes Velosa Camilo , Cano Plata Eduardo Antonio , Sánchez Aristizábal Sebastián
Published: November 2022

Virtually every engineering development for control systems is tested by simulation to predict performance. However, the final use of an algorithm is in its application in a real time system. Development tools using a DSP and Simulink RTW can be performed with real-time simulations (i.e. simulation interacting with physical plant). Testing the speed control loop of a DC motor with permanent magnets has thus been developed to appreciate the considerable advantages offered by these tools.
Numerical modelling of elastic behaviour of concrete reinforced with steel short fies in plane stress conditions
Authors: Lamus Fabian , Caicedo Manuel , Linero Dorian
Published: November 2022

This work describes a numerical model of fie reinforced concrete elastic behaviour implemented using the finite elements method (Hughes, 2000). In structures made of this material, each point is formed by steel fies embedded into a simple concrete matrix. The reinforced concrete is represented inside a finite element as an orthotropic material having random material direction based on the vanishing diameter fie model (Dvorak and Bahei-el-Din, 1982) and the mixing theory modified for short length reinforcement (Oller, 2003). Statistical analysis consisted of repeating the problem's numerical simulation where the direction of fies was modified by a random function to set up a sampling database from the results and measure their variability. A sensitivity study of finite element size and the number of sampling data was then carried out in terms of total strain energy. Finite element size and sampling data are recommended. The average structural response of a reinforced concrete beam with different quantities of steel fies where minimum data dispersion was observed is given as an example of applying the above.
A study of low-cost adsorbent materials for removing Cr(VI) from aqueous waste effluent
Authors: Vargas-Nieto Claudia , Carriazo José Gregorio , Castillo Serna Elianna
Published: November 2022

The present paper shows very high potential for two types of solid (a commercial alumina and material obtained by composting, i.e. matured compost) on Cr(VI) adsorption/ elimination in aqueous solution using a concentration range close to those previously detected in waste-water from Colombian industries. Both had important properties for eliminating Cr(VI), the compost being more important as it represents low-cost material. Optimal conditions for chromium adsorption on alumina and compost were established. Initial Cr(VI) alumina concentration was 10 mgL-1, with 100 mL/g volume of solution per adsorbent mass, pH=2.0, 1-hour equilibrium time and 150 rpm stirring. For compost, initial Cr(VI) concentration was = 3 mg L-1, 50 mL/g volume of solution per adsorbent mass, pH=2.5, 3-hour equilibrium time and 150 rpm stirring. The experiments showed that compost adsorption properties could be enhanced by adding small quantities of alumina. Compost could thus be chosen as a promising material for use in bioremediation chromium-containing waste water in a management programme for using solid waste in for minimising environmental impact.
University objectives and socioeconomic results regarding engineering: multi-criteria measuring of alignment
Authors: Cortés Aldana Félix Antonio , Peña Reyes Ismael , Cortés Aldana Jaime Orlando
Published: November 2022

University faculties and schools develop mechanisms for knowledge transfer as tools for achieving goals stated in a university´s mission regarding its socio-economic environment. The main purpose of this paper is to present the results obtained after measuring the degree of alignment of a university´s strategic objectives with results obtained by a faculty through its knowledge transfer mechanisms. This allows for diagnosis by comparing the situation desired by the university management team (expected case) with actual results achieved by developing plans applying the knowledge transfer mechanisms (real case). Multicriteria decision analysis techniques (MCDA) were thus applied, namely analytic network process (ANP) and analytic hierarchy process (AHP). The results relied on the experience and perceptions of the experts who participated in the study. The methodology proposed in this paper has been applied in the Universidad Nacional de Colombia´s Faculty of Engineering. The study led to measuring the importance of each of a university´s strategic objectives, the results achieved in a faculty regarding each objective, the degree of alignment between expected and actual results and each knowledge transfer mechanism´s level of influence.
Henry Mintzberg: un pensador iconoclasta para un «management» abierto a la realidad
Authors: Gómez-Osorio Jorge-Iván
Published: November 2022

Consolidó el concepto de poder en las organizaciones y otorgó mayor importancia a la creatividad e intuición de la estrategia, muy por encima del proceso racional y analítico.
La hora del marketing auténticamente inclusivo
Authors: Casado Luis , Arrese Ángel
Published: November 2022

La diversidad de los consumidores no es nueva y el marketing se maneja bastante bien con los tipos de diversidades más "populares". Sin embargo, la incorporación plena al consumo de las personas con discapacidad es una tarea todavía pendiente. Para que el marketing auténticamente inclusivo sea una realidad solo se necesitan convencimiento y creatividad.
REVISITING SOME FUZZY ALGEBRAIC STRUCTURES
Authors: Kellil Rabah
Published: November 2022

Following our investigations on some fuzzy algebraic structures started in [6--8], and [9], in the present work, we revisit fuzzy groups and fuzzy ideals and introduce some new examples and then define the notion of fuzzy relation modulo a fuzzy subgroup and modulo a fuzzy ideal. As a consequence, we introduce the right and left cosets modulo a fuzzy relation. This work and the previously cited ones can be considered as a continuation of investigations initiated in [1--5]. Toward our investigation, we have in mind that by introducing these new definitions, the results that we can get should represent generalization of classical and commonly known concepts of algebra.
JOINT POWER COST AND LATENCY MINIMIZATION FOR SECURE COLLABORATIVE LEARNING SYSTEM
Authors: Thanh Van Nguyen Thi , Quang Vu Van , Cong Luong Nguyen
Published: November 2022

This work investigates the model update security in a collaborative learning or federated learning network by using the covert communication. The CC uses the jamming signal and multiple friendly jammers (FJs) are deployed that can offer jamming services to the model owner, i.e., a base station (BS). To enable the BS to select the best FJ, i.e., the lowest cost FJ, a truthful auction is adopted. Then, a problem is formulated to optimize the jamming power, transmission power, and local accuracy. The objective is to minimize the training latency, subject to the security performance requirement and budget of the BS. To solve the non-convex problem, we adopt a Successive Convex Approximation algorithm. The simulation results reveals some interesting things. For example, the trustful auction reduces the jamming cost of the BS as the number of FJs increases.
DATA-CENTRIC DEEP LEARNING METHOD FOR PULMONARY NODULE DETECTION
Authors: Nguyen Chi Cuong , Nguyen Long Giang , Tran Giang Son
Published: November 2022

Lung cancer is one of the most serious cancer-related diseases in Vietnam and all over the world. Early detection of lung nodules can help to increase the survival rate of lung cancer patients. Computer-aided diagnosis (CAD) systems are proposed in the literature for early detection of lung nodules. However, most of the current CAD systems are based on the building of high-quality machine learning models for a fixed dataset rather than taking into account the dataset properties which are very important for the lung cancer diagnosis. In this paper, we follow the direction of data-centric approach for lung nodule detection by proposing a data-centric method to improve detection performance of lung nodules on CT scans. Our method takes into account the dataset-specific features (nodule sizes and aspect ratios) to train detection models as well as add more training data from local Vietnamese hospital. We experiment our method on the three widely used object detection networks (Faster R-CNN, YOLOv3 and RetinaNet). The experimental results show that our proposed method improves detection sensitivity of these object detection models up to 4.24%.
Prognostic value of the Metabolic Score for Insulin Resistance in the development of myocardial infarction in patients with coronary artery disease and obesity after coronary stenting
Authors: Svarovskaya A. V. , Arzhanik M. B. , Garganeeva A. A.
Published: November 2022

Aim. To assess the predictive value of anthropometric indices in relation to the risk of myocardial infarction in patients with coronary artery disease (CAD) and obesity after coronary stenting.

Material and methods. The study included 229 patients with class II-IV angina pectoris, hospitalized for elective percutaneous coronary intervention with stenting. The median age was 55±7,5 years. Depending on the presence of obesity according to the World Health Organization criteria (1999), patients were divided into 2 groups. Group 1 included 107 obese patients, while group 2 — 122 non-obese patients. Patients were measured waist circumference (WC) and hip circumference (HC). In addition, waist-to-hip ratio was assessed. Lipid spectrum parameters were determined (total cholesterol (TC), triglycerides (TG), high-density lipoprotein cholesterol (HDL-C), low-density lipoprotein cholesterol (LDL-C). The following indices were calculated: body mass index, visceral adiposity index, Homeostasis Model Assessment of Insulin Resistance (HOMA-IR), Metabolic Score for Insulin Resistance (METS-IR), TG-glucose index, lipid accumulation product, TG/HDL-C ratio, and metabolic index.

Results. In the group of patients with obesity, higher values of cholesterol (p<0,001), TG (p<0,001), LDL-C (p=0,006), and lower HDL-C (p<0,001) levels were established. Comparative analysis of metabolic indices showed that all indices significantly differed in both groups. In order to determine the critical values for quantitative predictors, ROC curves were constructed with the determination of threshold values that increase the likelihood of myocardial infarction after revascularization. It has been shown that only the METS-IR has prognostic significance. It was found that the METS-IR >48,16 is a predictor of myocardial infarction in patients with CAD and obesity (area under the ROC curve, 0,653, sensitivity — 75%, specificity — 64,39%; 95% confidence interval: 0,587-0,716; p=0,045).

Conclusion. In our study, we demonstrated the significance of the novel METS-IR. We found that the value of METS-IR >48,16 is a predictor of myocardial infarction in patients with CAD and obesity after coronary revascularization (area under the ROC curve, 0,653, sensitivity — 75%, specificity — 64,39%).
Changes of creatine phosphokinase MB levels in the context of myocardial reperfusion injury
Authors: Semenyuta V. V. , Maksimov N. I. , Anisimov S. V. , Rykov V. V. , Mykolnikov A. V. , Nazarov S. B.
Published: November 2022

In patients with initially elevated levels of creatine phosphokinase MB (CPK-MB), its increase after percutaneous coronary intervention (PCI) may be due not only to additional injury, but also to natural release during myocardial infarction. Therefore, CPK-MB should be evaluated relative to the initial values.

Aim. To compare the CPK-MB dynamics after myocardial reperfusion relative to baseline values and the upper limit of normal (ULN) for the optimal approach to determining myocardial reperfusion injury in patients with acute coronary syndrome.

Material and methods. A single center observational study was conducted with the participation of 90 patients hospitalized with a diagnosis of acute coronary syndrome. Patients underwent a biochemical blood test for CPK-MB twice and its dynamics was determined relative to the initial value and ULN.

Results. Between the ischemia time and CPK-MB dynamics relative to the initial values, there is a moderate negative correlation. At the same time, the ratio of CPKMB after surgery to ULN is not associated with ischemia time. Analysis of covariance showed that the CPK-MB dynamics, determined relative to the initial values, is 20% dependent on the ischemia time. Individual features of coronary system anatomy, localization of the infarct-associated artery and the subsequent reperfusion procedure together explain the CPK-MB dynamics after surgery by 27%. When the ratio of CPK-MB to ULN is included in the analysis of covariance, all the above factors lose statistical significance.

Conclusion. Thus, for a more accurate assessment of myocardial reperfusion injury after PCI, not the upper limit of normal should be analyzed, but the initial values of CPK-MB. In patients with the left heart dominant, as well as in the infarction localization in the system of right or left anterior descending artery, there is a slight change in the marker. On the contrary, more pronounced dynamics is observed in patients with tortuous coronary arteries and with implantation of 2 or more stents. At the same time, the assessment of CPK-MB in relation to ULN is not associated with the ischemia time and does not depend on the clinical and angiographic characteristics and tactics of the operation.
Role of genetic research in the prevention of life-threatening rhythm and cardiac conduction disorders in young people
Authors: Loginova E. N , Kirh E. A , Nechaeva G. I , Martynov A. I , Druk I. V , Semenkin A. A , Dakuko A. N
Published: November 2022

According to epidemiological studies, in Russia there is a tendency towards an increase in sudden cardiac death (SCD), including among young workingage people. The leading mechanism for SCD in young patients, including those with undifferentiated connective tissue disease, is recognized as rhythm and conduction disorders. At the same time, the most tragic cases are the first and only manifestation of SCD in children and young people without structural heart disease. The article presents a brief analysis of the genetic causes of life-threatening rhythm and conduction disorders in young people, as well as a generalization of the modern possibilities of a personalized diagnostic approach from the standpoint of early cardiovascular prevention. Timely genetic diagnosis of SCD risk makes it possible to identify a predisposition to the development of a fatal event long before its occurrence, which contributes to the timely implementation of preventive measures within a high cardiovascular risk strategy and secondary prevention, maintaining working capacity, creative and social activity of young patients, and improving the quality of life.
Effect of genetic specifics of patients on myocardial contractility after acute myocardial infarction: a literature review
Authors: Golovenkin S. E. , Nikulina S. Yu. , Bubnova M. G. , Maksimov V. N.
Published: November 2022

In this literature review, we analyzed studies on the influence of genetic specifics of patients on the restoration of myocardial contractility after acute myocardial infarction. Data on the influence of genetic characteristics on the myocardial repair, remodeling process, and the restoration of cardiac contractility are presented. The use of genetic methods in the examination of patients and further consideration of individual characteristics when prescribing therapy will make it possible to implement a personalized approach to each patient. This will improve the effectiveness of treatment and the disease prognosis.
Profibrotic genetic polymorphisms as possible risk factors for the development of diastolic dysfunction in patients with epicardial adiposity
Authors: Gritsenko O. V. , Chumakova G. A. , Gruzdeva O. V. , Ponasenko A. V. , Barbarash O. L.
Published: November 2022

Aim. To determine the associations of variable sites of fibrogenesis genes with the risk of left ventricular (LV) diastolic dysfunction (DD) in patients with epicardial adiposity (EA).

Material and methods. The study included 101 men with general obesity (Altai Territory) without cardiovascular diseases, diabetes and documented LVDD, of which, after determining the epicardial fat thickness (EFT), 2 groups were formed: group 1 — with EA (EA+), EFT ≥7 mm or more (n=70); group 2 — without EA (EA-), EFT <7 mm (n=31). The control group was formed from Kemerovo region residents of the corresponding sex and age and without a history of cardiovascular diseases and general obesity. Polymorphisms of the MMP9 rs17576, TGFB1 rs1800469, MMP3 rs6796620, MMP3 rs626750, MMP1 rs514921, LOC101927143 rs4290029, TIMP2 rs2277698 genes were determined in all patients using the polymerase chain reaction. After 4,7±0,3 years, all patients with general obesity underwent repeated echocardiography to assess LVDD.

Results. We found that in the group with EA for rs626750 MMP3, the carriage of the homozygous T allele is 2 times more common (recessive inheritance, p=0,0022). After 4,7±0,3 years, LVDD was registered in 18 patients in the EA+ group and in 2 patients in the EA- group. When analyzing inheritance patterns, as well as comparing genotypes in groups of patients with EA with developed LVDD (n=20) and without LVDD (n=78), we found that patients with EA and LVDD are 3,4 times more likely to be a carrier of the homozygous T allele (recessive inheritance, p=0,02) for rs1800469 TGFB1.

Conclusion. In patients with EA and LVDD, the carriage of the T rs1800469 TGFB1 allele is more common, which probably contributes to cardiac fibrosis and LVDD according to a recessive inheritance.
Cellular heterogeneity and clonal hematopoiesis of immune system cells in atherosclerosis
Authors: Sleptsov A. A.
Published: November 2022

Recent studies in single cell RNA sequencing have improved understanding of the structure of the immune cell subpopulation in atherosclerosis. With the help of novel technologies, new subpopulations of immune cells involved in atherosclerosis have been identified. In addition, a following relatively common and strong cardiovascular risk factor has emerged: clonal hematopoiesis of indeterminate potential resulting from the accumulation of somatic mutations during life with the appearance of populations of mutant leukocyte clones. Individuals with this condition are at high risk for cardiovascular complications such as myocardial infarction and stroke, regardless of conventional risk factors. This review highlights the latest data on the study of cellular heterogeneity of immune system cells in atherosclerosis, as well as the role of clonal hematopoiesis in its development.
The consequences of the pandemic on the quality of life of the elderly: a bibliometric analysis
Authors: Campos Caroline Gonçalves Pustiglione , Carmo Gonçalo Cassins Moreira do , Vargas Leandro Martinez , Pedroso Bruno
Published: November 2022

Objetivo: analisar as consequências da pandemia na qualidade da vida dos idosos, por meio da bibliometria. Método: trata-se de uma revisão integrativa, com método de análise bibliográfica, realizada na base da Scopus, durante o período entre março de 2020 a junho de 2022, com os seguintes descritores: “(Elderly OR “Older Adults” OR “Older Pessoas” E Idade* E “Qualidade de Vida” E “Covid-19” OU Pandemias NÃO Crianças NÃO Adolescentes). Os dados foram analisados ​​pela interface Rstudio com os softwares bibliometrix e VOSviewer. Resultados: foram encontrados 129 publicações, com envolvimento de 959 autores, média (7,72) coautores encontrados e 9.295 citações por documento.A psicologia da psicologia é mais representativa e pensa sobre os mentais, uma área de conhecimento social ao público da pessoa idosa. Nota-se, um aumento nas produções sobre a temática entre os países Estados Unidos e Austrália. Sobressaíram cinco clusters na análise de co-ocorrência, totalizando 152 termos interligados neste estudo como: confinamento, isolamento social, idoso, solidão, atividade física, saúde e ansiedade. : uma análise destas pesquisas científicas de qualidade no contexto da conclusão e uma proposta abrangente de diversidade de campos de vida dos idosos no contexto da pandemia, além da integralidade inerente à diversidade.isolamento social, idoso, solidão, atividade física, saúde e ansiedade. : uma análise destas pesquisas científicas de qualidade no contexto da conclusão e uma proposta abrangente de diversidade de campos de vida dos idosos no contexto da pandemia, além da integralidade inerente à diversidade. isolamento social, idoso, solidão, atividade física, saúde e ansiedade. : uma análise destas pesquisas científicas de qualidade no contexto da conclusão e uma proposta abrangente de diversidade de campos de vida dos idosos no contexto da pandemia, além da integralidade inerente à diversidade.
Analysis of the Secreted Peptidome from Omental Adipose Tissue in High-Grade Serous Ovarian Cancer
Authors: Pan Haiyue , Xu Sujuan , Dai Chencheng , Jia Genmei , Ge Lili , Xu Pengfei , Jia Xuemei
Published: November 2022

High-grade serous ovarian cancer (HGSOC) is a preferential omental metastasis malignancy. Since omental adipose tissue is an endocrine organ, we used liquid chromatography tandem mass spectrometry (LC-MS/MS) to compare the peptides secreted from omental adipose tissues of HGSOC and benign serous ovarian cysts (BSOC). Among the differentially secreted peptides, we detected 58 upregulated peptides, 197 downregulated peptides, 24 peptides that were only in the HGSOC group and 20 peptides that were only in the BSOC group (absolute fold change ≥ 2 and P < 0.05). Then, the basic characteristics of the differential peptides were analyzed, such as lengths, molecular weights, isoelectric points, and cleavage sites. Furthermore, we summarized the possible functions according to the precursor protein functions of the differentially expressed peptides by Gene Ontology (GO) analysis with the Annotation, Visualization, and Integrated Discovery (DAVID) database and canonical pathway analysis with IPA. For the GO analysis, the differentially secreted peptides were mainly associated with binding in molecular function and cellular processes in biology process. For the canonical pathways, the differentially secreted peptides were related to calcium signaling, protein kinase A signaling, and integrin-linked kinase (ILK) signaling. We also identified 67 differentially secreted peptides that located in the functional domains of the precursor proteins. These functional domains were mainly related to energy metabolism and immunoregulation. Our study might provide drugs that could potentially treat HGSOC or omental metastases of HGSOC cells.
Constitutio posterior non derogat pactis prioribus? Chiles völkerrechtliche Verträge im Kontext der Verfassungsablösung
Authors: Korzilius Sven
Published: November 2022

Chile’s International Treaties in the Context of the Replacement of the Constitution From a public international law perspective, the domestic process ideally does not affect treaty obligations. Already in normal times, however, there are innumerable options to retreat from treaties. The exceptional case of constitutional replacement hardly extends these. Could the ‘eternity clause’ of 2019 (Art. 135 IV of the Chilean Constitution), which states that the contents of international treaties are to be respected, subject the Constitutional Convention to stronger ties than international treaty law itself? This article rejects readings that tried to perpetuate the substantive content of the treaties or to forbid changes that would make termination of treaties necessary. The lack of justiciability and the principle of truthfulness of norms speak against them. The clause only warned to proceed in a manner that is gentle on international law. Based on this, the third part shows Chile’s wide margin to cancel or alter existing treaty regimes and sees opportunities for respect of treaties by practical concordance and the activation of secondary legal protection in accordance with international law in the event of contradictions that cannot be resolved in accordance with treaties.
‘Principled Resistance’ Meets ‘ultra vires’: NewTechniques in Opposing ECtHR Judgments
Authors: Breuer Marten
Published: November 2022

This article engages with the most recent jurisprudential developments in Poland and discusses them against the backdrop of the doctrinal concept of ‘principled resistance’. It is submitted that the Polish Constitutional Tribunal, alongside with well-known arguments from the principled resistance background, introduced a new doctrinal argument into the Convention context, thereby borrowing the ultra vires doctrine known from the European Union (EU) context. This jurisprudence is interpreted as the endeavour to shield the sovereignty of the Polish State, and the competences of the Constitutional Tribunal, against interference from Strasbourg. At the same time, the pan- European dimension of the Polish rule of law crisis is addressed.
Dietary supplements and beverages: Knowledge, attitudes, and practices among semi-professional soccer players in KwaZulu-Natal, South Africa
Authors: Nyawose Siphamandla , Naidoo Rowena , Naumovski Nenad , McKune Andrew, J
Published: November 2022

Background: The ingestion of dietary supplements and beverages is prevalent in soccer, at the amateur and professional level. The absence of professional advice at non-professional level makes amateur soccer players susceptible to ingesting unsafe supplements.
Objectives: To determine the knowledge, attitudes and practices of ABC Motsepe League (semi-professional) players in KwaZulu-Natal regarding the use of dietary supplements and beverages.
Methods: Three hundred and forty-three soccer players participated in a cross-sectional study. Knowledge, attitudes and practices were determined using a questionnaire. Researchers visited twelve teams. On the day of the visit to each team, information sheets and questionnaires were given to participants. Questionnaires were collected immediately following completion. Descriptive statistics were used, including means and standard deviations, where applicable. Inferential statistics, Chi-square and binomial tests were used to analyse the results. Statistical significance was set at p < 0.05.
Results: Sports beverages were the most recommended and commonly used, followed by energy beverages. Dietary supplements were the least-known used. Participants used beverages and dietary supplements to assist in providing more energy (67%), improve health (65%) and improve performance (55%) (p<0.001). Seventy-three percent of participants lacked knowledge about the anti-doping policy (p<0.001), with 87% having never attended a workshop on the safe use of supplements and beverages, or anti-doping awareness campaigns (p<0.001). Thirty-eight percent had not heard of the South African Institute for Drug-Free Sport (SAIDS), and 84% were not familiar with the yearly updated World Anti-Doping Agency’s (WADA) prohibited list (p<0.001). Of the 59% who did not take dietary supplements or beverages, 75% had insufficient information regarding them (p<0.001), 66% indicated that dietary supplements and beverages were costly (p=0.001), and 55% indicated they did not need dietary supplements and beverages (p=0.32).
Conclusion: There is a need for an educational programme on the safe use of dietary supplements, and sports and energy beverages among KwaZulu-Natal semi-professional soccer players.
A prognostic nomogram for predicting overall survival in colorectal mucinous adenocarcinoma patients based on the SEER database
Authors: Wu Qian , Zhang Suqin , Wang Huan , Zeng Yifei , Yang Wei , Pan Wenjun , Hong Guodai , Gao Wenbin
Published: November 2022

A nomogram was constructed to predict the survival of patients with colorectal mucinous adenocarcinoma based on data extracted from the Surveillance, Epidemiology and End Result (SEER) database. Data collected between 2010 and 2018 were obtained from the SEER database. The log-rank test and multivariate Cox regression were performed to identify the independent prognostic factors for overall survival, which were further used to construct a nomogram model to predict 1-, 3-, and 5-year overall survival. In total, 10846 patients diagnosed with colorectal mucinous adenocarcinoma were enrolled in the study. The following 11 variables were associated with survival and were further incorporated into the nomogram: age at diagnosis, primary site, grade, tumour size, lymph node dissection, T stage, N stage, M stage, surgery for primary site, chemotherapy, and household income. The concordance index (C-index) value was 0.725 (95% confidence interval 0.716-0.734), and the receiver operating characteristic curves and calibration curves showed satisfactory predictive accuracy. Both the C-index and time-independent area under the curve values were greater than those of the American Joint Committee on Cancer 7th TNM classification system (both P < 0.001). In the validation group, the results were consistent with those of the training group, with a C-index value of 0.726 (95% confidence interval, 0.713-0.739). This study constructed a practical nomogram to predict 1-, 3-, and 5-year OS for patients with colorectal colorectal mucinous adenocarcinoma based on SEER data.
Liming applications and the SPAD chlorophyll index and stomatal conductance in cocoa exposed to cadmium in the soil
Authors: Suárez-Parra Karen Victoria , Castañeda-Serrano Cristian Santiago , Forero-Ulloa Fabio Emilio , Almanza-Merchán Pedro José , Serrano-Agudelo Pablo César
Published: November 2022

Cadmium is a heavy metal that affects cell structures, such as walls and membranes, especially in the photosynthetic apparatus (PSII), chlorophylls, chloroplasts and stomata, producing losses in production quantity and quality. In addition, it is harmful to the health of humans and animals. The objective was to analyze the behavior of the relative chlorophyll index (SPAD units) and stomatal conductance in clone CCN-51 cacao plants every 45 days (45, 90, 135 and 180 days) after liming application. Four doses of a dolomite + agricultural gypsum mixture were applied, increasing Ca+2 saturation in the soil to 7, 8 and 9 cmolc kg-1. The control treatment did not have applications. The results indicated a reduction in SPAD units in the plants without liming, with high cadmium levels in the soil (3.3 mg kg-1), and there were no statistical differences in the other treatments, possibly because of edaphic factors such as pH, organic matter content and Al+3. The best stomatal conductance was observed with 7 cmolc kg-1 in the foliar gas exchange. Supersaturated liming applications efficiently reduce the losses in quality and quantity caused by the accumulation of cadmium in cacao plants.
Structural Modification of the Finite State Machine to Solve the Exponential Explosion Problem
Authors:   National University of Science and Technology MISIS (NUST MISIS), Moscow, 119049, Russia Federation, Bernadotte A. ,   Moscow State University, Moscow, 119991, Russia Federation
Published: November 2022

In many modern applications, such as intrusion detection and prevention systems, expert knowledge can be formalized in the form of regular expressions. After this formalization, a finite automaton checks whether a word belongs to a regular language. Deterministic finite automata have an optimal time complexity, but the number of automaton states (space com­plexity) can grow exponentially with the length of the regular expression. At the same time, the time complexity is the main disadvantage of non-deterministic finite automata. Therefore, reducing spatial complexity while maintaining low time complexity is highly relevant. In applied problems of regular language recognition, a significant problem is the problem of the exponentially growing number of states of the recognizing deterministic finite automaton depending on the length of regular expressions of the recognized language — the exponential explosion problem. There are the following three main approaches to solving this problem using finite automata: 1) restriction on signatures given by experts; 2) regular language modification — this approach assumes the appearance in the solution of a practical problem of recognizing errors of the first and second kind; 3) finite automata modification without recognizing regular language changing. The third approach can be implemented as a finite automata modification through compression algorithms and particular structural elements. The paper presents a review of modern solutions, the main idea of which is the transition from an abstract finite automaton, represented by a table-specified function, to a structural automaton that combines the abstract part stored in the memory and various structural elements such as bit arrays and counters. Some ideas and algorithms have become especially successful when solving the exponential explosion problem by adding special structural elements. First, such successful solutions include the use of counters. Second, the idea of storing additional information about the state machine. Third, the combination of non-deterministic and deterministic finite automata. Fourth, the economic attitude to the state machine regarding its location to fast and slow memory allows us to consider the em­pirical experience of accumulated malicious traffic in intrusion detection systems.
Kyiv period of Illia Shulga’s life and work (1928-1938)
Authors:   Independent Researcher, Samchuk Taras
Published: November 2022

Research work devoted to the details of the Kyiv period of life and work of Ukrainian painter Illia Shulga. This period covers the years 1928-1938, at this time there were rapid changes in the artistic life of Ukraine, which affected the fate of the artist. For most of his life the painter lived and worked at a distance from active artistic life, only in the late 1920s he manage to move to Kyiv. Despite the noticeable influence of avant-garde in artistic life, Illia Shulga consistently followed a realistic approach to art, it was the influence of his education, obtained at the St. Petersburg Academy of Arts. He successfully worked in various genres (portrait, landscape, genre paintings). During his lifetime, the artist has created about 1,000 works (the Kyiv period accounts for about 170 works), but most of them have not survived to our time. Most of Shulga's works disappeared during World War II. Today, a little more than 20 of his works are preserved in the museums of Ukraine from the huge creative heritage of the artist. The article introduces a number of documents that shed light on the details of the artist's biography. In particular, the criminal case of Illia Shulga, which recorded a number of details of the last period of the artist's life. The documents of the case shed light on the details of the arrest, the course of the investigation, and the reasons for sentencing the painter. The publication also analyzed the most complete currently known list of Shulga’s works, which includes 564 items. This list was compiled in 1941 by the artist's wife, and later this list and a number of other documents related to the life and work of the artist were deposited in the Archive-Museum D. Antonovych of the Ukrainian Free Academy of Sciences in the United States. The appendices contain a list of the artist's works that are currently stored in museums in Ukraine and a link to the list of the artist's works.
Gender and Migration: Resisting with a Camera. A Researcher to Researcher Experience
Authors: Hernández-Albújar Yolanda , Ciccaglione Adriana
Published: November 2022

This manuscript is a reflexive collaboration between two differently situated researchers. It meets at the crossroad of knowledge and visual activism at three levels: it uses a case study to analyze the possibilities of photovoice as a form of resistance against narratives of hate; it reflects on the ways in which the observed and the observer cooperate to construct from their own perspectives a legitimized knowledge aiming to promote visibility and social transformation; finally, it revises whether photovoice may become a form of visual activism and, if so, the ways in which images may be used toward this goal. Using as a point of departure the work of the photographer Diane Arbus and a photovoice project on being a migrant woman in Spain, the authors elaborate on the power of images to work at the margins, from the margins, and for the margins.
A Key to Home: Illuminating the Role of the SIM Card in Refugee Resettlement
Authors: Hingley Liz
Published: November 2022

This paper considers how creative research mediated by mobile devices might contribute to upending inherited notions of refugee powerlessness and passivity in galleries and museums. A collaborative project, undertaken in 2019, explored the significance of SIM cards in forging a sense of security, identity, and belonging for Syrian refugees on a resettlement program in the U.K. This “opening up” the “body” of the smartphone in the process of creating artworks reveals the urgent need for deeper appreciation of the meaning and materiality of personal digital ecosystems (Blanke & Pybus 2020) for refugees negotiating a sense of home.
Industrial Cyber Blockchain Physical System for Microgrid in Data Based Predictive Analysis for Automatic Control Analysis
Authors: Pasani Chairil Faif , Rohaeti Euis Eti
Published: November 2022

As an efficient distributed renewable energy utilization model, a microgrid is predictable to realize the higher incorporation of the industrial cyber-physical system (CPS) that has gained significant interest in the academia and industry fields. Electric grid is now facing exceptional variations in generation and load as rising number of distributed energy resources (DERs), typically interfaced via power electronics converter, have been positioned, which possess multifaceted technical problems. In the context of electric grid, Blockchain (BC) was primarily developed for peer-to-peer energy trading through cryptocurrency. This paper presents a deep learning based predictive model for automated control analysis (DLBPM-ACS) in BC assisted industrial CPS environment. The presented DLBPM-ACS technique aims to forecast the short-term energy requirement for reducing the delivery cost of electrical energy for consumers. In addition, the presented DLBPM-ACS technique employs BC for effective energy utilization monitoring and trading control. Moreover, the presented DLBPM-ACS technique employs deep belief network (DBN) model for energy prediction process. Furthermore, the artificial ecosystem optimizer (AEO) algorithm is applied for optimal tuning of the hyperparameters related to the DBN approach. A wide range of simulations was conducted and the outcomes demonstrate the better outcomes of the DLBPM-ACS technique.
Quality Assessment of Ambulatory Electrocardiogram Signals by Noise Detection using Optimal Binary Classification
Authors: Supraja V. , Rao P. Nageswara , Giriprasad M. N.
Published: November 2022

In order to improve the diagnostic capability in Ambulatory Electrocardiogram signal and to reduce the noise signal impacts, there is a need for more robust models in place. In terms of improvising to the existing solutions, this article explores a novel binary classifier that learns from the features optimized by fusion of diversity assessment measures, which performs Quality Assessment of Ambulatory Electrocardiogram Signals (QAAES) by Noise Detection. The performance of the proposed model QAAES has been scaled by comparing it with contemporary models. Concerning performance analysis, the 10-fold cross-validation has been carried on a benchmark dataset. The results obtained from experiments carried on proposed and other contemporary models for cross-validation metrics have been compared to signify the sensitivity, specificity, and noise detection accuracy.
A Novel Energy Aware Clustering Mechanism with Fuzzy Logic in MANET Environment
Authors: Prasad C.V.P.R. , Vuyyuru Veera Ankalu. , Sushma T. , Uppalapati Sri Lakshmi , Apparao G.
Published: November 2022

A Mobile Ad Hoc Networks (MANETs) comprises of the vast range of devices such as sensors, smart phones, laptops and other mobile devices that connect with each other across wireless networks and collaborate in a dispersed fashion to offer network functions in the absence of a permanent infrastructure. The Cluster Head (CH) selection in a clustered MANET is still crucial for lowering each node's energy consumption and increasing the network's lifetime. However, in existing clustering mechanism trust of the all nodes are presumed those causes increased challenge in the MANET environment. Security is a crucial factor when constructing ad-hoc networks. In a MANET, energy consumption in route optimization is dependent on network resilience and connectivity. The primary objective of this study is to design a reliable clustering mechanism for MANETs that takes energy efficiency into account. For trusted energy-efficient CH in the nodes, a safe clustering strategy integrating energy-efficient and fuzzy logic based energy clustering is proposed to address security problems brought about by malicious nodes and to pick a trustworthy node as CH. To improve the problem findings Bat algorithm (BAT) is integrated with Particle Swarm Optimization (PSO). The PSO technique is inspired because it imitates the sociological characteristics of the flock of the birds through random population. The BAT is a metaheuristic algorithm inspired by microbat echolocation behavior that uses pulse average with global optimization of the average path in the network. Hybrid Particle Swarm Optimization (HPSO) and BAT techniques are applied to identify the best route between the source and destination. According to the simulation results, the suggested Fuzzy logic Particle Swarm Optimization BAT (FLPSO-BAT) technique has a minimum latency of 0.0019 milliseconds, with energy consumption value of 0.09 millijoules, maximal throughput of 0.76 bits per sec and detection rate of 90.5% without packet dropping attack.
MOCF: A Multi-Objective Clustering Framework using an Improved Particle Swarm Optimization Algorithm
Authors: Yedukondalu Gangolu , Samunnisa K. , Bhavsingh M. , Raghuram I S , Lavanya Addepalli
Published: November 2022

Traditional clustering algorithms, such as K-Means, perform clustering with a single goal in mind. However, in many real-world applications, multiple objective functions must be considered at the same time. Furthermore, traditional clustering algorithms have drawbacks such as centroid selection, local optimal, and convergence. Particle Swarm Optimization (PSO)-based clustering approaches were developed to address these shortcomings. Animals and their social Behaviour, particularly bird flocking and fish schooling, inspire PSO. This paper proposes the Multi-Objective Clustering Framework (MOCF), an improved PSO-based framework. As an algorithm, a Particle Swarm Optimization (PSO) based Multi-Objective Clustering (PSO-MOC) is proposed. It significantly improves clustering efficiency. The proposed framework's performance is evaluated using a variety of real-world datasets. To test the performance of the proposed algorithm, a prototype application was built using the Python data science platform. The empirical results showed that multi-objective clustering outperformed its single-objective counterparts.
Cardiovascular Disease Prediction Using ML and DL Approaches
Authors: Suneetha Avvaru R V Naga , Mahalngam T.
Published: November 2022

Healthcare is very important aspects of human life. Cardiovascular disease, also known as the coronary artery disease, is one of the many deadly infections that kill people in India and around the world. Accurate predictions can prevent heart disease, but incorrect predictions can be fatal. Therefore, here this paper describes a method for predicting cardiovascular disease that makes use of Machine Learning (ML) and Deep Learning (DL). In this paper, SMOTE-ENN (Synthetic Minority Oversampling Technique Edited Nearest Neighbor) was used to equalize the distribution of training data. The K-Nearest Neighbor method (KNN), Naive Bayes (NB), Decision Tree (DT), Support Vector Machine (SVM), XGBoost (Extreme Gradient Boosting), Artificial Neutral Network (ANN), and Convolutional Neutral Network (CNN) are among the classifiers used in this paper. From Public Health Dataset required data is collected and focused on recognizing the best approach for predicting the disease in preliminary phase. This experiment end results show that the use of Artificial Neural Networks can be of much useful in prediction with better accuracy (95.7%) than compared to any other ML approaches.