bluuebunny/crossref_metadata_2025_split huggingface dataset:
HUMAN RELIABILITY ANALYSIS PADA OPERATOR GRINDING DAN WELDING GALANGAN KAPAL DENGAN PENDEKATAN COGNITIVE RELIABILITY AND ERROR ANALYSIS METHOD (CREAM)
Authors: Satria Satria Bagus Shaputra , Khoiriyah Nuzulia , Fatmawati Wiwiek 
Published: April 2021

Abstrak, Daftar kasus kecelakaan kerja di galagan kapal yang terjadi selama 8 tahun terakhir dengan jumlah kasus tertinggi pada proses pekerjaan grinding dan welding. Kasus kecelakaan kerja tersebut disebabkan oleh kesalahan manusia atau human error. Pada penelitian ini menggunakan pendekatan Cogitive Reliability and Error Analysis Method (CREAM) untuk memprediksi dan mengurangi terjadinya human error. Pada metode ini dilakukan dengan dua cara yaitu basic method yang berfungsi untuk hanya mendapatkan nilai probabilitas kegagalan secara umum, sedangkan extend method berfungsi untuk mendapatkan nilai probabilitas kegagalan kognitif pada setiap task. Hasil penelitian menunjukkan bahwa faktor yang menurunkan keandalan operator dan mempengaruhi timbulnya human error pada operator grinding dan welding adalah faktor kondisi pekerjaan dan waktu dalam hari saat pekerjaan berlangsung. Nilai probabilitas error tertinggi pada proses pekerjaan grinding dan welding terdapat pada aspek kognitif interpretation, dengan masing-masing nilai CFP pada proses grinding yaitu sebesar 0,024 dan pada proses welding 0,006. Usulan perbaikan untuk mengurangi probabilitas human error pada proses grinding dan welding adalah pada kondisi pekerjaan dengan membutuhkan penerangan yang cukup saat bekerja didalam kapal, membutuhkan sirkulasi udara yang baik saat bekerja didalam kapal, dan membutuhkan peningkatan pengawasan kepada operator agar operator dapat bekerja dengan aman dan disiplin dalam bekerja. Serta membutuhkan pengoptimalan manajemen waktu dalam bekerja, agar operator dapat bekerja dengan baik dan memiliki waktu istirahat yang cukup.

Kata kunci : Human Error, Cogitive Reliability and Error Analysis Method (CREAM), Human Realiability Analysis (HRA).
Non-Pharmaceutical Stochastic Optimal Control Strategies to Mitigate the COVID-19 Spread
Authors: Scarabaggio Paolo , Carli Raffaele , Cavone Graziana , Epicoco Nicola , Dotoli Mariagrazia 
Published: April 2021

<p>This paper proposes a stochastic non-linear model predictive controller to support policy-makers in determining robust optimal non-pharmaceutical strategies to tackle the COVID-19 pandemic waves. First, a time-varying <em>SIRCQTHE</em> epidemiological model is defined to get predictions on the pandemic dynamics. A stochastic model predictive control problem is then formulated to select the necessary control actions (i.e., restrictions on the mobility for different socio-economic categories) to minimize the socio-economic costs. In particular, considering the uncertainty characterizing this decision-making process, we ensure that the capacity of the healthcare system is not violated in accordance with a chance constraint approach. The effectiveness of the presented method in properly supporting the definition of diversified non-pharmaceutical strategies for tackling the COVID-19 spread is tested on the network of Italian regions using real data. The proposed approach can be easily extended to cope with other countries' characteristics and different levels of the spatial scale.</p>
<p><br></p>
<p><br></p>
<p>Postprint accepted for pubblication in <em>IEEE Transactions on Automation Science and Engineering</em> (T-ASE)</p>
<p><br></p>
<p><strong>How to cite</strong>: P. Scarabaggio, R. Carli, G. Cavone, N. Epicoco and M. Dotoli, (2021) "Non-Pharmaceutical Stochastic Optimal Control Strategies to Mitigate the COVID-19 Spread," in IEEE Transactions on Automation Science and Engineering. DOI: http://doi.org/10.1109/TASE.2021.3111338</p>
<p><br></p>
<h4><strong>© 2021 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.</strong><br>
<br>
</h4>
Pengaruh Gaya Kepemimpinan, Motivasi dan Disiplin Kerja terhadap Kinerja Karyawan.
Authors: Prabowo Oxy Hendro 
Published: April 2021

Tujuan penelitian ini adalah untuk mengetahui pengaruh gaya kepemimpinan, motivasi dan disiplin kerja terhadap kinerja karyawan. Metode penelitian ini menggunakan analisis desktrtif dengan pendekata korlasi. Hasil uji t diperoleh bahwa nilai thitung variabel motivasi (X2) memiliki nilai p-value sebesar 0,000 <0,05 artinya signifikan, sedangkan thitung 7,287 > dari ttabel 1,987 artinya signifikan. Hal tersebut berarti 7,287 (X2) motivasi secara parsial berpengaruh terhadap Kinerja Karyawan (Y). Besarnya pengaruh motivasi terhadap Kinerja karyawan adalah sebesar 37,6%. 3) Terdapat pengaruh disiplin terhadap Kinerja karyawan. Hasil uji t diperoleh bahwa nilai thitung variabel motivasi (X3) memiliki nilai p-value sebesar 0,000 <0,05 artinya signifikan, sedangkan thitung 4,794 > dari ttabel 1,987 artinya signifikan. Hal tersebut berarti 4,794 (X3) disiplin secara parsial berpengaruh terhadap Kinerja Karyawan (Y). Besarnya pengaruh disiplin terhadap Kinerja karyawan adalah sebesar 20,7%. 4) Terdapat pengaruh yang signifikan antara Gaya Kepemimpinan (X1), Motivasi (X2) dan disiplin (X3) terhadap Kinerja Karyawan (Y) sebesar 0,739, hal ini menunjukkan bahwa keempat variabel tersebut mempunyai pengaruh yang kuat berada pada batasan tafsiran nilai R antara 0,60 – 0,799.
SISTEM PAKAR PENDETEKSI PENYAKIT PADA TANAMAN PADI MENGUNAKAN METODE (FORWARD CHAINING ) BERBASIS WEB DI DESA SUBAIM KECAMATAN WASILE
Authors: Alle M Hairil , Ansar Rusmin , Sirajuddin Hairil Kurniadi , . Muharto 
Published: April 2021

Jenis padi dalam penelitian ini adalah padi basah atau padi sawah dinamakan padi Santana, yang dibudidaya didesa subaim, namun sering dijumpai berbagai macam penyakit yang menyerang pada tamanan padi ini, penyakit tersebut dapat diketahui dari gejala-gejala yang ditimbulkanya. Dalam penelitian ini terdapat beberapa jenis dan gejala penyakit yaitu, Hawar daun, Kerdil Blas, Tungro, dan Busuk Batang. Ada 5 jenis penyakit dan 21 gejala, akan tetapi untuk mengetahui secara tepat jenis penyakit yang menyerang padi tersebut memerlukan seorang pakar/ahli pertanian, sedangkan jumlah pakar pertanian terbatas dan tidak dapat mengatasi permasalahan petani dalam waktu yang bersamaan, sehingga diperlukan suatu sistem yang mempunyai kemampuan seperti seorang pakar, yang mana di dalam sistem ini berbasis pengetahuan keahlian seseorang pakar pertanian mengenai penyakit dan gejala tanaman padi. Pada penelitian ini dirancang sistem pakar pendeteksi penyakit pada tanaman padi menggunakan metode forward chaining dengan gambar berbasis website, yang maksudkan untuk membantu petani dalam mendeteksi penyakit pada tanaman padi. Sehingga dapat memberikan solusi serta saran penanganannya.Kata kunci: Sistem pakar, Metode Forward Chaining, Berbasis Website
USING MACHINE LEARNING TO CALIBRATE ANALOG MICROCIRCUITS
Authors: Башкиров А.В. , Астахов Н.В. , Ципина Н.В. , Антиликаторов А.Б. , Демихова А.С. 
Published: April 2021

Предложен один из методов машинного обучения, который можно применить для разработки нейросети, предсказывающей габариты элементов аналоговых интегральных схем на примере двух усилителей, при этом учитываются их предполагаемые целевые характеристики. Эта научная работа показывает, что должным образом обученная нейросеть способна изучить шаблоны проектирования и генерировать схемы калибровки, которые являются адекватными и подходят под требования спецификаций, в том числе и тех, которые не содержались в обучающих данных. Представлены три варианта организации нейросети, по результатам анализа которых был сделан вывод о том, что нейросети показали себя, как очень гибкие модели, способные выполнять расчет топологии аналоговых интегральных схем. Предложенная в работе методика продемонстрировала достаточную эффективность в преодолении высокой нелинейности задач расчета топологии и может использоваться конструкторами на практике. Применение такого подхода позволяет существенно сократить время проектирования (в отдельных задачах в 6 и более раз) и предоставить более широкий инструментарий средств автоматизации проектирования аналоговых интегральных схем
We propose one of the machine learning methods that can be used to develop a neural network that predicts the dimensions of the elements of an analog integrated circuit using the example of two amplifiers, while taking into account their intended target characteristics. This scientific work shows that a properly trained neural network is able to learn design patterns and generate calibration schemes that are adequate and suitable for the requirements of the specifications, including those that were not contained in the training data. We present three options for organizing a neural network, based on the analysis of which it was concluded that neural networks showed themselves to be very flexible models capable of calculating the topology of analog integrated circuits. The method proposed in this work showed itself to be quite effective in overcoming the high nonlinearity of topology calculation problems and can be used by designers in practice. The use of this approach allows one to significantly reduce the design time (in individual tasks by 6 or more times) and provide a wider toolkit for the design automation of analog integrated circuits
MINIMIZING THE EFFECTIVE AREA OF SCATTERING BY MEANS OF CHANGING THE RELATIVE MAGNETIC PERMEABILITY
Authors: Володько А.В. , Фёдоров С.М. , Ищенко Е.А. , Сиваш М.А. , Сопина Л.В. , Бунина А.В. 
Published: April 2021

Исследуется зависимость эффективной площади рассеяния (ЭПР) от относительной магнитной проницаемости материала, из которого изготавливается структура. В качестве тела моделирования был выбран шар, который изготовлен из диэлектрического материала, у которого возможно выполнять изменение относительной магнитной проницаемости. По полученным результатам моделирования построены графики зависимости максимального значения моностатической ЭПР от частоты, а также от относительной магнитной проницаемости среды. Было показано, что с увеличением относительной магнитной проницаемости материала изготовления происходит увеличение значения ЭПР объекта, а также обнаружена зависимость эффективной площади рассеяния от соотношения размеров шара и длиной волны, так при превышении порогового значения, после которого шар становится крупным объектом, ЭПР резко возрастает. По результатам исследования был построен график зависимости эффективной площади рассеяния шара от относительной магнитной проницаемости материала изготовления. Доказана возможность применения материала с частотозависимой относительной магнитной проницаемостью в качестве стелс-покрытия. В статье содержится исследуемая модель, графики полученных результатов, по которым можно легко определить зависимость ЭПР от частоты и от относительной магнитной проницаемости материала изготовления
The article investigates the dependence of the effective scattering area (ESA) on the relative magnetic permeability of the material from which the structure is made. We chose a sphere as the modeling body, which is made of a dielectric material, in which it is possible to change the relative magnetic permeability. Based on the obtained simulation results, graphs of the dependence of the maximum value of monostatic ESA on frequency, as well as on the relative magnetic permeability of the medium, were constructed. It was shown that with an increase in the relative magnetic permeability of the material of manufacture, an increase in the value of the ESA of the object occurs, and the dependence of the effective scattering area on the ratio of the size of the ball and the wavelength was found, so when the threshold value is exceeded, after which the ball becomes a large object, ESA rises sharply. Based on the results of the study, a graph of the dependence of the effective scattering area of the sphere on the relative magnetic permeability of the material of manufacture was built. The possibility of using a material with a frequency-dependent relative magnetic permeability as a stealth coating was proven. The article contains the investigated model, graphs of the results obtained, by which it is easy to determine the dependence of the ESA on the frequency and on the relative magnetic permeability of the material of manufacture
CONFORMAL PREDICTION USAGE FOR THE ACUTE PANCREATITIS OUTCOMES FORECAST
Authors: Чеботарь Антон Викторович , Гальченко Максим Иванович 
Published: April 2021

Конформное прогнозирование и его частный случай Мондриановская конформная классификация является новым методом, позволяющим повысить валидность результатов. Конформное прогнозирование удобно в применении и позволяет использовать большинство алгоритмов машинного обучения. Одним из отличий от классических методов является то, что алгоритм конформного прогнозирования позволяет использовать скошенные выборки без предварительной корректировки. В работе рассматривается возможность применения данного метода к задаче прогнозирования течения острого панкреатита на небольшой выборке (91 запись). Рассматривается возможность прогнозирования возникновения инфекционного осложнения и летального исхода. Используется реализация метода в KNIME Analytics Platform, выполненная компанией Redfield AB, Швеция, показывается порядок применения узлов, описываются критерии качества для конформной классификации (эффективность и валидность). Результат позволяет говорить о хороших показателях при применении метода в условиях скошенности классов, в случае прогнозирования исхода, без предварительной корректировки выборки и возможности его применения к небольшим выборкам. Для прогноза исхода эффективность составила 0.67 для класса «Выжил» и 0.14 для класса «Летальный исход», валидность составила 1 и 0.86 соответственно, для прогноза инфекционных осложнений эффективность составила 0.86 для класса «Нет инфекционных осложнений» и 0.43 для «Инфекционные осложнения», валидность 0.71 и о.79 соответственно
Conformal prediction and its special case Mondrian conformal classification is a new method that can improve the validity of results significantly. One of the interesting differences from the classical methods is that the conformal prediction algorithm allows using skewed samples without preliminary preprocessing. Possibility of applying this method to the problem of predicting the outcomes of acute pancreatitis on a small sample is studied in the paper (91 records). The implementation of the method in the KNIME Analytics Platform, made by Redfield AB, Sweden, is used, the order of the nodes usage is shown, the quality criteria for the conformal classification (efficiency and validity) are described. The results are allowed to say about good results of applying the method on the sample with skewed classes without preliminary adjusting the sample and the possibility of applying it to small samples. For the “Outcome” variable, the effectiveness was 0.67 for the class "Survived" and 0.14 for the class "Fatal outcome", the validity was 1 and 0.86, respectively, for the prognosis of infectious complications, the effectiveness was 0.86 for the class "No infectious complications" and 0.43 for the class "Infectious complications", validity 0.71 and o.79, respectively
Tão, tão distante: a extensão universitária e a (ir)relevância das periferias
Authors: Minghelli Marcelo , Pereira Vanessa Souza , Vale Mariene Alves do , Garcia Bárbara Balbis , Martins Yuri Dutra , Farias Íris Garcia Tramontim de 
Published: April 2021

Este artigo descreve a execução do Programa Cibercidadania, desenvolvido pelo Departamento de Ciência da Informação da Universidade Federal de Santa Catarina, e suas contribuições para o processo de implementação da meta 12.7 do Plano Nacional de Educação, acerca da curricularização da extensão universitária. Três projetos têm sido desenvolvidos em parceria com a Escola Marista Social Lúcia Mayvorne, aproximando a academia e a comunidade. A concepção de extensão existente no Departamento se modificou, e uma nova disciplina referente à extensão foi proposta e aprovada. As ações realizadas na escola impactaram os educandos, que passaram a ter uma nova perspectiva quanto à carreira profissional e ao futuro. O artigo apresenta uma reflexão sobre os resultados parciais do programa, de modo a contribuir para a elaboração de ações de extensão que integrem à formação técnico-científica dos estudantes uma dimensão humana.
Palavras-chave: Curricularização da extensão; Plano Nacional de Educação; Ciência da Informação; Universidade; Comunidade

So, so far away: university extension and the (ir)relevance of the suburbs
Abstract: This article describes the execution of the Programa Cibercidadania developed by the Department of Information Science of the Federal University of Santa Catarina (Florianópolis, Santa Catarina state, Brazil) and its contributions to the process of implementing goal 12.7 of the National Education Plan regarding the curricularization of university extension. Three projects have been developed in partnership with the school Escola Marista Social Lúcia Mayvorne, bringing the academy and the community closer. The concept of extension in the University Department was modified, and a new discipline related to extension was proposed and approved. The actions produced at the school impacted the students, who started to have a new perspective about their professional career and their future. The article presents a reflection on the partial results of the program to contribute to the elaboration of extension actions that integrate a human dimension to the technical-scientific education of students.
Keywords: Extension Curricularization; National Education Plan; Information Science; University; Community
Blending type approximation by generalized Szász type operators based on Charlier polynomials
Authors:   DEPARTMENT OF MATHEMATICS CENTRAL UNIVERSITY OF HARYANA HARYANA-123031, INDIA E-mail address: rachitkajla47@gmail.com, KAJLA ARUN 
Published: April 2021

In the present paper, we introduce a generalized Szasz type operators based on ´ ρ(x) where ρ is a continuously differentiable function on [0, ∞), ρ(0) = 0 and inf ρ 0 (x) ≥ 1, x ∈ [0, ∞). This function not only characterizes the operators but also characterizes the Korovkin set 1, ρ, ρ2	in a weighted function space. First, we establish approximation in a Lipschitz type space and weighted approximation theorems for these operators. Then we obtain a Voronovskaja type result and the rate of convergence in terms of the weighted modulus of continuity.
Russian epidemiological study EVKALIPT: protocol and basic characteristics of participants
Authors: Vorobyeva N. M. , Tkacheva O. N. , Kotovskaya Yu. V. , Ovcharova L. N. , Selezneva E. V. 
Published: April 2021

On behalf of EVKALIPT study.Objective: to evaluate prevalence of age-related and chronic non-infectious diseases, senile asthenia and other geriatric syndromes in subjects aged ≥65 years old and to analyze their influence on general health and functional status.Methods: 4308 subjects (30% males) aged from 65 to 107 years (mean age 78±8 years), who live in 11 Russian regions, were examined. They were divided in 3 groups by age: 65–74, 75–84 and ≥85 years. All subjects passed comprehensive geriatric assessment in 2 stages: 1) questioning based on a specially designed questionnaire; 2) physical examination.Results: age increase is associated with decrease of anthropometric parameters (height, weight, body mass index), decrease of diastolic blood pressure, increase of pulse blood pressure and deterioration of social-economic status of elderlies (increase of those who out lived their partners, living alone and in institution/ nursing home, single (no partners) and disabled subjects; decrease in proportion of married and still working ones, subjects with university degree and higher income).Conclusion: Russian EVKALIPT study protocol and basic characteristics of participants are summarized in the article.
Elderly with chronic kidney disease in outpatient treatment: risk factors and prevention pathways
Authors: Kudina E. V. , Skvortsov R. A. , Larina V. N. , Zhuk V. A. , Ivanova M. Z. 
Published: April 2021

Introduction. At present, doctors in all disciplines are facing an increasing problem of chronic kidney disease (CKD) management. It is particulary relevant for screening and treatment of aged patients, because they suffer from CKD most frequently. This is due both to physiological age characteristics and kidney disease risk factors of these patient’s category.Aim. To provide an analysis of the main causes and risk factors of CKD in elderly patients.Materials and methods. Analysis of outpatient charts of patients aged 55–90 with multiple chronic diseases observed in the local health service in Moscow, which is the base of the Department of Outpatient Therapy, RNRMU.Results. We analyzed the most significant risk factors of CKD and their frequency, the indications of this syndrome in the formulation of diagnosis, the prescription of drugs, providing nephroprotective strategy.Conclusion. CKD is one of the most frequent pathologies in the elderly. An analysis of the outpatient charts showed that the main causes of CKD among patients in this age group were not kidney diseases but comorbide pathology, primarily arterial hypertension. These patients also had high frequency of diabetes mellitus, hyperlipidemia, obesity. Not all patients have been identified with CKD in the structure of diagnosis, which could influence the correct tactics for treating related diseases. Nephroprotective therapy was also not fully available to patients. Current recommendations can be used by primary health-care doctors in practice.54
Modern vision on the problem of chronic heart failure in the older persons
Authors: Larina V. N. 
Published: April 2021

Aim. To analyze the factors associated with the development of chronic heart failure (CHF) in older age and to evaluate possible approaches to managing outpatients.Material and methods. The search for domestic and foreign publications in Russian and international systems (PubMed, eLibrary, Medscape, etc.) for the last 0.5–15 years has been carried out. The analysis includes articles from the peer-reviewed literature.Results. During aging, a number of structural changes and changes at the cellular level occur in the cardiovascular system, predisposing to the development of myocardial dysfunction, which explains the variety of manifestations of heart failure and the prevalence of preserved left ventricular ejection fraction (LVEF). Involutional functional and morphological changes in organs and systems form multimorbidity and nonspecificity of clinical symptoms and signs. «Cross symptoms» of frailty and CHF often complicate the timely diagnosis of the heart failure. Medications used for the treatment of CHF in older and younger patients are similar, but when choosing a specific drug, caution should be exercised in the group of the most vulnerable patients: over the age of 85, in the first two weeks after discharge from the hospital and in the presence of frailty.Conclusion. Based on the available results of studies, it is necessary to be alert of primary care physicians regarding the presence of CHF with preserved LVEF in older persons with multimorbidity and geriatric syndromes. The therapeutic strategy for CHF older patients is complex and involves an individualized approach, depending on the clinical situation.