bluuebunny/crossref_metadata_2025 huggingface dataset:
Influence of Fusarium head blight on technological quality of wheat
Authors: El Chami Josepha , El Chami Elias , Tarnawa Ákos , Kassai Katalin Maria , Kende Zoltán , Jolánkai Márton
Published: October 2023

Wheat is a cereal of special importance in the world cereal production. Fusarium head blight is one of the most important diseases of wheat caused by phytopathogenic Fusarium species that significantly reduce wheat production. This disease reduces grain yield and quality and causes the presence of harmful mycotoxins. The purpose of this study is to test the effect of Fusarium infection on wheat quality parameters in two wheat varieties Alföld and Mv Karéj. The results showed that Fusarium infection was higher in 2021 (91.47% and 95.20%) compared to 2020 (44.33% and 40.27%) in the two wheat varieties used Alföld and Mv Karéj respectively. In Alföld, Fusarium infection had a negative effect on protein content, test weight, thousand kernel weight, gluten content and Zeleny sedimentation index, whereas falling number was not affected. In Mv Karéj, Fusarium infection had a negative effect on test weight, thousand kernel weight, falling number and Zeleny sedimentation index, whereas protein content and gluten content were not affected. Although Fusarium infection reduced wheat quality, Mv Karéj showed a stable protein and gluten content whereas Alföld showed a stable falling number. Thus, Mv Karéj is more tolerant to Fusarium infection compared to Alföld.
A finite volume scheme for solving an alternative morphodynamic model with porosity
Authors: Moumna Abdelhafid
Published: October 2023

This work proposes an extended numerical scheme based on the finite volume method that is intended to solve a new morphodynamic model with porosity. The St-Venant equations and the Exner equation are coupled in this model, accounting for the variation of the porosity function . In the morphodynamic system, the Jacobian matrix's sign is taken into account when reconstructing the numerical fluxes using an improved Roe's approach to assure correct numerical computations.
MULTISCALE MECHANOBIOLOGICAL MODELING OF THE CORTICAL/SPONGY INTERFACE USING FINITE ELEMENTS
Authors: Soltani Imed , Barkaoui Abdelwahed , Bettaibi Soufiene , Roy Sandipan
Published: October 2023

In this paper, we describe a mathematical model of bone remodeling that integrates the activities of the bone cells and the mechanical behavior of the bone in an intermediate cortical/trabecular zone. This behavior decreases and increases as the bone moves from a dense cortical zone to a less dense porous trabecular zone. The bone remodeling is a combined process of resorption and formation driven primarily by osteoclasts and osteoblasts. The evolution of the bone cell population involves osteoblast-osteoclast signaling, which is mediated by the biological factors and receives a mechanical stimulus assessed at the microscopic scale. Excessive stress on the bone causes microdamage that induces changes in the structural integrity and microarchitecture. This phenomenon explains the attention paid to the mechanical properties of the bone. In this context, numerical simulations were performed in a mechanobiological model, in which different
mechanical and biological parameters were considered. A three-dimensional finite-element model of a human proximal
femur was generated, and the simulation of the bone remodeling algorithm was implemented. The current work is an
exploratory numerical study, and the results obtained reveal the impact of the mechanical properties on the remodeling
process of the intermediate bone subjected to cyclic loading, highlighting the effects of the selected parameters for the different remodeling periods.
Acoustic behaviour of Portland cement paste with sodium gluconate additive during hydration
Authors: Dongyu Xu , Huaicheng Chen , Longlong Hao , Hongyi Zhao , Xuemao Guan , Yan Hu , Fei Sha
Published: October 2023

The ultrasonic pitch–catch method was used to study the hydration behaviour of Portland cement paste with sodium gluconate (SG) additive using a tailor-made piezoelectric transducer. X-ray diffraction analysis showed that the intensity of the diffraction peak of calcium hydroxide decreased with increasing SG content (CSG), especially for CSG > 0.10 wt%. The compressive strength of the hardening cement pastes decreased remarkably for the pastes with CSG > 0.05 wt%. Ultrasonic waveforms appeared after 2 h of hydration and the waveform amplitudes of cement pastes with SG contents of 0.15 wt% and 0.20 wt% were obviously larger than those of cement pastes with CSG = 0.05 wt% in the early hydration stage. The hydration process of the cement paste over 300 h was classified into three stages based on the head wave amplitude variation – the fluctuation period, the rapidly increasing period and the smoothly increasing period. The acoustic propagation time changed greatly with hydration before a hydration age of 48 h, indicating that the hydration and hardening process of the cement paste was intense in the first 48 h. The proposed ultrasonic monitoring method opens a new perspective for studying the hydration behaviour of SG-blended cement paste.
Degradation of urban soil quality due to air and road traffic: relevant info and research
Authors: Jorge Celeste
Published: October 2023

Aircraft operations at an airport result in the emission of various substances. Simultaneously, in an airport area, road traffic is very intense, also contributing to the emission of the same substances. In this work, potentially toxic elements, essentially trace metals, and others not categorised as such (alloys elements and ceramic particles that constitute particulate matter) are considered, which end up being deposited on soils. The main purpose of this study is to identify soil quality degradation potentially connected to aircraft operations related to Lisbon airport, Portugal. At the same time, an attempt was made to differentiate the contribution of soil quality degradation resulting from road traffic. Several geotechnical and chemical parameters were determined for all of the 102 collected samples. X-ray fluorescence analysis was performed to identify and quantify the main elements present in all samples. Some samples were also subjected to X-ray diffraction to determine the mineralogical composition. The data obtained allow the creation of distribution maps of the detected elements and, after multivariate statistical analysis, conclude which ones are related to very intense road traffic and which ones are related to aircraft traffic emissions, in an urban area, based on a holistic interpretation of all intervenient variables.
Performance testing of roof beam–column connections for precast N-system
Authors: Misini Labeat , Ristic Jelena , Hristovski Viktor , Ristic Danilo
Published: October 2023

The precast N-system based on embedded-pin connections is used widely to construct large precast industrial halls in south-eastern Europe and further afield, including areas of high seismicity. To realistically assess the seismic performances, safety margins and limitations of the connections, experimental investigations are essential. Experimental results from laboratory tests on a large-scale prototype model of an original roof beam–column connection show its actual bearing capacity, damage propagation pattern and specific failure mode. The experimental study was then extended to a prototype model of an upgraded roof beam–column connection. To improve safety, the connection was upgraded with improved concrete confinement and stronger steel connecting pins. The experimental results show clearly that the method implemented to upgrade the pin-based connection provided very limited upgrading effects. To obtain much better and more reliable safety upgrading, an innovative and effective upgrading method had to be developed. The capability of the implemented refined nonlinear three-dimensional (3D) micro-modelling concept to realistically simulate the complex nonlinear response of the tested original and upgraded roof beam–column connections was demonstrated by an extensive analytical simulation study.
Development of an Analytical Method for the Determination of Cymoxanil in Potato Flour Samples by High Performance Liquid Chromatography
Authors: UNUTKAN GÖSTERİŞLİ Tuğçe
Published: October 2023

In this study, a high performance liquid chromatography-ultraviolet detection method was introduced for the detection of cymoxanil. The experimental parameters of the procedure were thoroughly evaluated. Cymoxanil was eluted by ammonium formate buffer (50.0 mM, pH 4.0):acetonitrile (55:45 v/v) as mobile phase. Under the optimal conditions, the limits of detection and quantification (LOD and LOQ) were found as 7.4 – 24.8 µg kg-1, which allows trace determination of pesticides in food samples. Proposed method was then implemented for the determination of selected fungicide in potato flour samples with acceptable % recoveries in the range of 81.4–112.9%, while the values of relative standard deviation (RSD) were below 10% showing a satisfactory applicability for cymoxanil in such complex real samples matrix.
Post-Ultraviolet-Curing Process Effects on Low-Velocity Impact Response of 3D Printed Polylactic Acid Parts
Authors: AKDERYA Tarkan
Published: October 2023

In this study, polylactic acid (PLA) parts produced with the 3D fused deposition modelling (FDM) technique were cured with ultraviolet irradiation (post-UV-curing) after production, and the low-velocity impact behaviour of the parts was experimentally investigated. Accordingly, PLA parts were subjected to post-UV-curing at 15-, 30-, 45-, and 60-minute periods. The impact behaviour of the specimens produced with production parameters of 200 °C printing temperature, 0.2 mm layer thickness, 50 mm/s printing speed, 100% infill rate, and 45° raster angle was compared with the raw specimens after the post-UV-curing process was applied. As a result of the impact tests, peak force, peak displacement, peak energy, and puncture energy values were obtained from the force-displacement graphs. It has been revealed that the post-UV-curing implementation increases the peak force values of PLA specimens and decreases the displacement values compared to the raw specimens. All specimens' impact behaviour improves with the post-UV-curing process; however, a decreasing trend is entered after 30 min.
The Turkish Art of Marbling (Ebru) on Textile Fabrics: Investigation of Thickening Agent, Mordant and Fixation Temperature
Authors: AKDUMAN Çiğdem , KAHVECİOĞLU SARI Habibe
Published: October 2023

Ebru is a mysterious art and briefly described as the art of paper decoration. Turkish “Ebru” or “Marbling Art” was included in the list of world cultural heritage by UNESCO in November 2014. Today, people use marbling mainly for fabrics and papers in many ways. From a technical viewpoint, the marbling process depends on the balance of relations between the chemical character and particle size of the color pigments and their relation between the viscosity and surface tension phenomena of the marbling bath upon the surface. This study investigates the surface tension, pH and conductivity of the sizing baths and acrylic dyes, compares carrageenan and sodium alginate as thickeners for the marbling bath. Then it also explores the effect of self-fixation, fixation temperature and alum application on the fastness properties and print durability results for cotton and polyester fabric. It was seen that pattern transferring ability of carrageenan bath was better than sodium alginate bath, marbling paints have some self-crosslinking ability, alum application do not have an influence on the print durability and fastness properties, whereas, only fixation temperature of 150oC had a slight effect.
Classification of Forest Fires in European Countries by Clustering Analysis Techniques
Authors: SERİN Hakan , KÖREZ Muslu Kazım , TEKİN Mehmet Emin , SİREN Sinan
Published: October 2023

The biggest threat to the forests, which are natural habitats in European countries, as they are in the whole world, is forest fires. The aim of this study is to group the 38 European countries which have completely accessible fire indexes between the years 2008 to 2022; with respect to their similarities in fire regimes; and to compare the obtained groups with respect to their fire indexes. The clustering technique, which is a data mining method, was used while making these comparisons since it would be more objective and realistic to group and evaluate the countries according to their similarities. In the K-Means technique 2 clusters, and in the Ward's method 3 clusters were obtained. In the K-Means technique, significant statistical differences were found between the 2 clusters in terms of all fire indexes (p
Antibakteriyel, Kanama Durdurucu ve Yaralanma Tespit Sistemi İçeren Askeri Operasyon Kıyafeti
Authors: NJJAR Mahmed Sari , AKDUMAN Çiğdem , KOLUMAN Ahmet
Published: October 2023

Askeri operasyonlarda kontrolsüz kanamalar ve travmatik yaralanmalara bağlı ciddi komplikasyonlar, askerlerin önlenebilir ölüm nedenlerinin başında gelmektedir. Askeri kayıpların %50'den fazlası ve dünya çapındaki ölümlerin %30'u travmatik yaralanmalara bağlıdır. Operasyon koşullarında meydana gelen yaralanmalar için kanamanın durdurulması ve antimikrobiyal etki sağlanması sınırlı sağlık hizmeti varlığında, tıbbi merkeze ulaşana kadar hayati önem taşımaktadır. Bu kapsamda, müdahale şansının düşük olduğu koşullarda müdahaleye kadar kıyafetin kısmi de olsa koruma sağlıyor olması katma değer sağlamaktadır. Bu çalışmada askeri kıyafetlerde kullanılacak, operasyon koşullarında meydana gelebilecek yaralanmaları tespit eden, enfeksiyonlara karşı koruma ve kanamaları durdurma özeliğini sağlayan bir sistem geliştirilmiştir. Bu kapsamda antimikrobiyal ve hemostaz özelliklerine sahip nanolifli katmanlar, yarayı enfeksiyondan koruma ve kanamayı durdurma görevine sahiptir. Aynı zamanda iletken lifler ve harici bir devre yardımıyla yaralanma tespit sistemi nanoliflerle entegre olacak şekilde tasarlanmıştır. Çalışma kapsamında elde edilen nanolifli katmanlar, antimikrobiyal ve hemostatik aktivite ve yaralanma takip sisteminin performansı değerlendirilmiştir. Elde edilen gümüş nanopartiküller içeren nanolifli katmanlar iyi bir antimikrobiyal etki göstermiştir. Hemostatik ajanı içeren nanolifli katmanları ise minimum sürede kan pıhtılaşmasını sağlamıştır. Bununla birlikte geliştirilen yaralanma sistemi eş zamanlı olarak yaralanma durumunun takip edebileceğini tespit edilmiştir. Çalışma sonucunda geliştirilmiş sistem, endüstriyel tasarım ile sadece halk sağlığı açısından değil aynı zamanda hayatta kalımla da ilgili süreçlerde yüksek katma değerle etki gösterecektir.
A STUDY ON SOUND-ABSORPTION ABILITY OF CLOSED-CELL ALUMINIUM FOAMS
Authors: Thulasikanth Vaddi , Raghupathy Padmanabhan
Published: October 2023

Metallic foams have gained popularity in industrial applications and research due to their unique mechanical properties combined with light weight, vibroacoustic damping and high-temperature resistance. Generally, closed-cell foams have poor sound absorption properties due to their closed cellular structure when compared to open-cell foams. This paper investigates a new composite closed-cell foam for its acoustic properties. The new closed-cell aluminium fly-ash foam was made with liquid processing, using calcium carbonate (CaCO3) as the blowing agent. The effects of the fly-ash content on the cell morphology and mechanical properties were analyzed. Acoustic studies were conducted on the prepared closed-cell foam using the impedance tube method. Samples were prepared in different ways to determine the effects of the changing parameters. The results of quasi-static compression and microstructural analyses of two different combinations of the foam revealed small pore sizes with varying relative densities and compressive strengths. It is evident from the acoustic studies that the foams are capable of improved sound absorption of medium and high frequencies.
PREDICTION OF MICROSTRUCTURE EVOLUTION OF 316LN AUSTENITIC STAINLESS STEEL USING CELLULAR AUTOMATA AND A NOVEL EVALUATION METHOD FOR GRAIN SIZE INHOMOGENEITY
Authors: Qin Min , Liu Jiansheng
Published: October 2023

Inhomogeneous grain size is a significant structural defect in large forgings. This study employed cellular automata to simulate the dynamic recrystallization (DRX) of 316LN steel and analyzed the grain distribution during DRX. The accuracy of the CA method was verified by comparing its results with the results of a thermal simulation test on Gleeble 1500D. Subsequently, a novel method for evaluating grain size inhomogeneity was proposed. The grain size inhomogeneity coefficient Gu was introduced to determine the evolution of grain size inhomogeneity during DRX. This coefficient accurately and objectively reflects grain inhomogeneity. The impact of the initial and recrystallized grain size on the inhomogeneity during DRX was also analyzed.
MICROSTRUCTURE EVOLUTION AND PHASE TRANSFORMATIONS IN MICROALLOYED ARMOX 500T STEEL DURING A DILATATION PROCESS
Authors: Youssef Mervat , El-Shenawy Eman , Khair-Eldeen Wael , Adachi Tadaharu , Nofal Adel , Hassan Mohsen A.
Published: October 2023

With this work we successfully developed two modified Armox 500T alloys using microalloying with different amounts of niobium (Nb) and boron (B) to obtain a finer grain size, which in return enhances the remnant properties. Furthermore, different heat-treatment cycles were designed and performed using a quenching dilatometer to study the combined effect of thermal cycling and microalloying with Nb and B on the microstructure and transformation temperatures including the start and finish temperature of the austenite transformation (Ac1, Ac3) and the martensite start and finish temperature (Ms, Mf) of the investigated alloys. Dilatometry results show that increasing the content of Nb from 0.07 w/% to 0.13 w/% and B from 0.0035 to 0.0046 w/% increases the temperature range between Ac1 and Ac3 by 55 °C, indicating a broader range for changing heat-treatment temperatures. In addition, the Ms temperature is reduced by 13 °C due to austenite refinement caused by the microalloying of Nb and B. The effect of the annealing temperature at a constant heating rate showed a significant impact on the austenite grain size and hardness. Furthermore, the kinetics of phase transformations were theoretically studied using Thermo-Calc, and the numerical predictions were confirmed experimentally with dilatometry results. Metallography investigations using a scanning electron microscope (SEM) and an optical microscope (OM) were conducted to evaluate the microstructure evolution of the developed alloys. Hardness tests were performed to evaluate the effect of the grain refinement of martensite lathes caused by microalloying with Nb, B, and heat-treatment thermal cycling. It is found that the hardness of the modified Armox alloys in this research was improved by 14 % in comparison with the conventional Armox 500T.
PREDICTING THE OPTIMAL PARAMETERS BY MULTI-OBJECTIVE DECISION MAKING WHILE MACHINING AN Al6061 ALLOY USING CBN INSERTS WITH DIFFERENT CUTTING-EDGE GEOMETRIES
Authors: Sri Phani Sushma I , G.L. Samuel , Varga Gyula
Published: October 2023

The present work aims to investigate the effect of cutting-tool edge geometry on cutting force and surface finish while machining an Al6061 alloy under different conditions. A series of experiments was performed with a custom-fabricated cutting insert of a chamfered edge to observe the effect of feed rate and depth of cut on the cutting forces and surface finish. The results showed that varying the cutting-edge geometry has a significant effect on controlling the cutting forces. Also, as the feed and depth of cut were reduced (at high cutting speeds), the surface roughness was observed to reduce with the geometry effect. Furthermore, in the present work validation of the experimental results were also performed based on a multi-criteria decision-making method called Grey Relational Analysis (GRA). The weighted GRA predicted the optimal combination of machining parameters for two different cutting-tool inserts. Finally, the obtained optimal results were compared with the predicted and experimental values in terms of weighted GRG. The result shows that there was no significant improvement while using the standard cutting tool, whereas a net improvement of 16.9 % was observed while using the chamfered cutting tool for machining the Al 6061 alloy.
Application of measures of heavy-tailedness in problems for analysis of financial time series
Authors: Rodionova Lilia , Kopnova Elena
Published: October 2023

An important feature when working with financial data is the fact that the residuals of GARCH-models often have fatter tails than the tails of a normal distribution due to the large number of “outliers” in the data. This requires more detailed study. Kurtosis and quantile-based measure of heavy-tailedness were analyzed and compared in the article in relation to the problem of choosing the GARCH(1,1)-model specification. The data of indices of the Moscow Exchange were considered for the period from April 01, 2019 to February 22, 2022. Kurtosis values ​​ranged from 3 to 52. Empirical data showed that kurtosis was very sensitive to “outliers” in the data, which made it difficult to make assumptions about the distribution of model residuals. The approach considered in this paper based on the heavy-tailedness measure made it possible to justify the choice of degrees of freedom of the t-distribution for the model residuals to explain the fat tails in financial data. It was found that GARCH(1,1)-models with t(5)-distribution in the residuals are common.
Forecasting financial time series using singular spectrum analysis
Authors: Zinenko Anna
Published: October 2023

Financial time series are big arrays of information on quotes and trading volumes of shares, currencies and other exchange and over-the-counter instruments. The analysis and forecasting of such series has always been of particular interest for both research analysts and practicing investors. However, financial time series have their own features, which do not allow one to choose the only correct and well-functioning forecasting method. Currently, machine-learning algorithms allow one to analyze large amounts of data and test the resulting models. Modern technologies enable testing and applying complex forecasting methods that require volumetric calculations. They make it possible to develop the mathematical basis of forecasting, to combine different approaches into a single method. An example of such a modern approach is the Singular Spectrum Analysis (SSA), which combines the decomposition of a time series into a sum of time series, principal component analysis and recurrent forecasting. The purpose of this work is to analyze the possibility of applying SSA to financial time series. The SSA method was considered in comparison with other common methods for forecasting financial time series: ARIMA, Fourier transform and recurrent neural network. To implement the methods, a software algorithm in the Python language was developed. The method was also tested on the time series of quotes of Russian and American stocks, currencies and cryptocurrencies.
Bangladeshi Literature in English: A Critical Anthology
Authors: Ahmed Shah
Published: October 2023

Review a: Mohammad A. Quayum & Md. Mahmudul Hasan (eds.). 2021. Bangladeshi Literature in English: A Critical Anthology. Dhaka: Asiatic Society of Bangladesh, 302 pp.
Yapay Zekalı Robotlar Sanatçının Rolüne Bürünebilir mi?
Authors: ALEMDAR Sibel
Published: October 2023

Değişen dünyada, teknolojinin yaşamımızın içine hızla ve çok etkin bir şekilde girmesi sonucu; sanat anlayışında da değişimler yaşanmış ve yaşanmakta, insanların sanatçıdan beklentisi artmaktadır. Sanatçı için özgün olabilmek, daha önce yapılmamış olanı yapmak hiç de kolay değildir. Günümüz sanatında multi disipliner, teknoloji ve sanatın bir arada kurgulandığı çalışmalar, her geçen gün izleyici tarafından daha çok ilgi görmektedir.

Gelişen teknoloji ile sanatçılar farklı arayışlara girmiş, insanın, insan bedeninin sınırlarını zorlayan, aşan işler üretmeye başlamıştır. Öyle ki üretilen bu işler o kadar ilgi görmekte, bazen sanatçıyı arka plana itmektedir. Bu çalışmada; insan bedenini sorgulayan, sınırlarını test eden, robot teknolojisini kullanan işler üretmeye sanatçıyı iten nedenler neler olabilir ve bir süre sonra bu üretilen robotlar, rollerini sorgulayabilir ve sanatçının yerini alabilir mi, sorularının cevapları aranacaktır.
Perbandingan Harga Opsi Saham Tipe Eropa Menggunakan Model Black Scholes dan Black Scholes Fraksional
Authors: Rusmaningtyas Rahmanita Febrianti , Satyahadewi Neva , Rizki Setyo Wira
Published: October 2023

One of the investment is stocks. Stocks have derivative instrument in the form of stock options. Stocks option is a contract between two parties in the form of the right to sell and buy a stocks at a certain price and time. The method used in this study is the fractional Black Scholes and Black Scholes method with time of maturity fractioned by the Hurst parameter. The purpose od this study is to compare the prices of call and put options using the Black Scholes and Fractional Back Scholes. The data using close price of Apple Inc shares within period between October 1st 2020 until September 30th 2021. If the market option price is greater than the theoretical price using the Black Scholes or Fractional Black Scholes model, then the option is recommended to be sold and if the market option price is lower, the option is recommended to be purchased. Based on the smallest MAPE, the best model for call options is Fractional Black Scholes with Hurst Parameter 0,4 with 0,383% which means it is very accurate and the best model for put options is the Fractional Black Scholes Model with Hurst parameter 0,9 with 16,055% whick means accurate.Keywords: Black Scholes Fractional, Hurst Parameter, Stock Option. AbstrakSalah satu instrumen dalam berinvestasi adalah saham. Saham memiliki instrumen derivatif berupa opsi saham. Opsi saham adalah suatu pemberian kontrak antara dua pihak berupa hak untuk menjual dan membeli suatu saham dengan harga dan waktu tertentu. Harga opsi tipe Eropa dapat ditentukan dengan model Black Scholes dan Black Scholes Fraksional dengan waktu jatuh tempo yang difraksional menggunakan parameter Hurst. Penelitian ini bertujuan untuk membandingkan harga opsi beli dan opsi jual dengan model Black Scholes dan Black Scholes Fraksional. Data yang digunakan adalah harga penutupan saham Apple Inc periode 1 Oktober 2020 sampai 30 September 2021. Langkah dalam menghitung harga opsi adalah menghitung return saham, uji normalitas, menghitung volatilitas, menentukan parameter, menghitung harga opsi beli dan opsi jual, menghitung nilai MAPE dan melakukan perbandingan kedua model. Jika harga opsi pasar lebih besar daripada harga opsi teoritis menggunakan model Black Scholes atau Black Scholes Fraksional maka opsi direkomedasikan untuk dijual dan jika harga opsi pasar lebih kecil maka opsi direkomendasikan untuk dibeli. Berdasarkan nilai MAPE terkecil model terbaik untuk opsi beli saham adalah Black Scholes Fraksional dengan Parameter Hurst 0,4 dengan MAPE sebesar 0,383% yang berarti sangat akurat dan untuk opsi jual saham adalah Model Black Scholes Fraksional dengan parameter Hurst 0,9 dengan MAPE sebesar 16,055% yang berarti akurat.
Pemodelan STARIMA(1,1,1) pada Log Sinar Gamma
Authors: Rusanditia Laurens Paskhia Dirda , Yundari Yundari , Huda Nur’ainul Miftahul
Published: October 2023

The lowest rock layer can indicate the earliest period, while the top rock layer can suggest the most recent era. Backcasting, or the prediction of past rock strata, is crucial because it can make drilling operations more cost-, time-, and labor-effective. The objective of this research is to investigate the Space-time Autoregressive Integrated Moving Average (STARIMA) model and apply the STARIMA (1,1,1) model to predict and identify the rock strata. The research process begins with calculating the location weights and parameter estimates. Furthermore, the STARIMA (1,1,1) modeling was carried out on the in-sample data with the parameter estimates that have been obtained. Then the residuals in the model were tested to see the assumptions obtained. After that, predictions were made to obtain the gamma-ray log value for the previous 5 depths. The study's findings indicate that there is a large with the RMSE measuring average values of 21.15 and 32.87, respectively. The smallest gamma ray log value obtained from the prediction results from a depth of 96 m to 96.8 m is 11.5666 API and the largest is 26.1699 API. Overall, the results of the prediction indicate that the rock layers contain coal.Keywords: Backcasting, Gamma Ray Log, Rock Layer.AbstrakLapisan batuan terendah dapat menyatakan waktu tertua dan lapisan batuan tertinggi dapat menyatakan waktu yang lebih muda. Prediksi terhadap lapisan batuan lebih tua (backcasting) menjadi penting karena dapat membantu kegiatan pemboran agar efektif dan efisien dalam waktu, tenaga dan biaya. Tujuan dari penelitian ini adalah mengkaji model Space-time Autoregressive Integrated Moving Average (STARIMA) dan mengaplikasikan model STARIMA(1,1,1) pada data log sinar gamma untuk memprediksi dan mengidentifikasi lapisan batuan. Proses penelitian ini diawali dengan menghitung bobot lokasi dan estimasi parameter. Selanjutnya dilakukan pemodelan STARIMA(1,1,1) pada data in-sample dengan estimasi parameter yang telah diperoleh. Kemudian residual pada model tersebut diuji untuk melihat asumsi yang didapat. Setelah itu, prediksi dilakukan untuk memperoleh nilai log sinar gamma untuk 5 kedalaman sebelumnya. Hasil dari penelitian ini adalah data in-sample dan out-sample menunjukkan terdapat galat yang cukup besar dengan nilai ukur RMSE sebesar 21,15 dan 32,87. Diperoleh nilai log sinar gamma terkecil pada hasil prediksi dari kedalaman 96 m hingga 96,8 m adalah 10,3460 API dan terbesar adalah 26,1699 API. Secara keseluruhan, hasil prediksi menunjukkan terdapat kandungan batubara pada lapisan batuannya.
Implementasi Metode Polinomial Newton Gregory untuk Mengestimasi Produksi Tanaman Biofarmaka di Kalimantan Barat
Authors: Almira Zada , Yundari Yundari , Im’roah Nurfitri
Published: October 2023

Biopharmaceutical plants or known as medicinal plants are types of plants that have functions and efficacious as medicines and are used to cure or prevent various diseases. Empirically, the use of biopharmaceutical plants is believed to be efficacious and passed on as a cultural wealth from generation to generation through tradition. Previous research has shown that some people in West Kalimantan still use biopharmaceutical plants as an alternative to traditional medicine. So, there needs to be an estimate of the number of production biopharmaceutical plants in West Kalimantan using Newton Gregory Polynomial Interpolation. Methode of The Newton Gregory Polynomial has two types, namely Forward Newton Gregory Polynomial and Backward Newton Gregory Polynomial. The accuracy of the two methods can be seen from the results of the relative error analysis. The simulation with the Newton Gregory Backward Polynomial, the average of relative error is 0,5338, while the implementation with the Newton Gregory Forward Polynomial, the average of relative error is 0,6569.Keywords: Newton Gregory Polynomial, Newton Gregory Polynomial, Mean Relative Error. AbstrakTanaman biofarmaka atau dikenal dengan nama tanaman obat adalah jenis-jenis tanaman yang memiliki khasiat sebagai obat dan dipergunakan untuk penyembuhan ataupun mencegah berbagai penyakit. Pemanfaatan tanaman biofarmaka secara empiris diyakini kemanjurannya dan diwariskan sebagai kekayaan budaya turun melalui tradisi. Penelitian terlebih dahulu membuktikan bahwa sebagian masyarakat di Kalimantan Barat masih menggunakan tanaman biofarmaka sebagai alternative pengobatan tradisional. Maka dari itu diperlukan adanya pengestimasian jumlah produksi tanaman biofarmaka Provinsi Kalimantan Barat menggunakan Interpolasi Polinomial Newton Gregory. Interpolasi Polinomial Newton Gregory memiliki dua jenis, yaitu Polinomial Newton Gregory Maju dan Polinomial Newton Gregory Mundur. Hasil simulasi estimasi menunjukkan bahwa Polinomial Newton Gregory Mundur, diperoleh rata-rata galat relatif sebesar 0,5338, Sedangkan implementasi dengan menggunakan Polinomial Newton Gregory Maju diperoleh rata-rata galat relatif 0,6569.
Aplikasi Metode Kaplan Meier Sebagai Penduga Ketahanan Hidup Penderita Kanker Payudara
Authors: Pradika Rifki , Priatna Bambang Avip
Published: October 2023

Survival analysis atau analisis ketahanan hidup merupakan teknik statistika untuk menganalisis data waktu hidup pada kejadian atau event pada satu atau lebih populasi. Pada dasarnya untuk menganalisis suatu ketahanan hidup dibutuhkan data lengkap (data tak tersensor) dari objek yang diteliti. Pada kenyataannya data tak tersensor jarang sekali dijumpai dikarenakan oleh beberapa faktor diantaranya individu yang telah sembuh sebelum penelitian berakhir atau individu menolak untuk melanjutkan diri sebagai objek penelitian. Oleh karena itu, dibutuhkan suatu metode untuk menduga fungsi ketahanan hidup yang melibatkan data tersensor. Artikel ini akan membahas mengenai penentuan probabilitas fungsi ketahanan hidup data tersensor dengan menggunakan metode Kaplan Meier. Fungsi ketahanan hidup yang diperoleh dengan metode Kaplan Meier dinamakan kurva Kaplan Meier. Kurva tersebut menggambarkan probabilitas ketahanan hidup individu yang menjadi objek penelitian. Selain itu, dilakukan perancangan program aplikasi perhitungan waktu hidup serta probabilitas ketahanan hidup dengan menggunakan program komputer Excel Visual Basic for Application (VBA). Program ini dapat digunakan sebagai alat bantu pendataan penderita kanker payudara serta mengetahui probabilitas ketahanan hidupnya sehingga akan mengefisienkan waktu dan tenaga yang diperlukan. Secara umum, analisis ketahanan hidup menggunakan metode Kaplan Meier menghasilkan kesimpulan bahwa waktu hidup penderita kanker payudara yang menjalani pengobatan kemoterapi memiliki peluang hidup yang lebih besar dibandingkan penderita kanker payudara yang tidak menjalani pengobatan kemoterapi.
Model Matematika Resistensi Bakteri Staphylococcus Aerus terhadap Antibiotik Ciprofloxacin serta Respon Sistem Imun
Authors: Khadijah Cangra Nalika , Fatimah Siti , Sispiyati Ririn
Published: October 2023

The emergence of antibiotic-resistant bacteria is one of the most serious public health problems. These bacteria develop a defense mechanism against antibiotics, often called immune. In this study, the authors propose a mathematical model that describes the dynamics of sensitive staphylococcus aerus bacteria infected by ciprofloxacin antibiotics, resistant staphylococcus aerus bacteria, and immune cells assuming that the resistance is obtained from the mutations of sensitive bacteria exposed to antibiotic exposure. Qualitative analysis found a balance of the number of bacteria produced by sensitive bacteria that survive the effects of antibiotics and immune cells is less than the number of bacteria produced by resistant bacteria where resistant bacteria would coexist with immune cells in a person's body. The results of this analysis show the fact that when a person's immune system weakens, there is a higher chance of being infected. So, the parameter that can be controlled to suppress the population of resistant bacteria is the effectiveness level of immune cell response to bacteria, this result is supported by numerical simulations performed on the model.Keywords: Antibiotic, Bacterial Resistance, Equilibrium Points, Immune System, Ordinary Diﬀerential Equations Systems, Stability.AbstrakMunculnya bakteri yang resisten atau kebal terhadap antibiotik menjadi salah satu masalah kesehatan masyarakat paling serius. Dalam penelitian ini, dikaji model matematika yang menggambarkan dinamika bakteri Staphylococcus aerus sensitif yang terpapar antibiotik ciprofloxacin, bakteri Staphylococcus aerus resisten, dan sel imun dengan anggapan bahwa resistensi diperoleh dari mutasi bakteri sensitif terkena paparan antibiotik. Analisis kualitatif menemukan adanya keseimbangan saat jumlah bakteri yang diproduksi oleh bakteri sensitif yang bertahan terhadap efek antibiotik dan sel imun kurang dari produksi bakteri resisten di mana bakteri resisten akan hidup beriringan dengan sel imun di dalam tubuh seseorang. Hasil dari analisis ini menunjukan fakta bahwa ketika sistem imun tubuh seseorang melemah, maka peluang terinfeksi lebih tinggi. Jadi, parameter yang dapat dikontrol untuk menekan populasi bakteri resisten adalah tingkat efektivitas respon sel imun terhadap bakteri, didukung oleh simulasi numerik yang dilakukan pada model.
Peramalan Harga Batubara Acuan Menggunakan Metode PSOSVR Dan IPSOSVR
Authors: Umiyati Alliseu , Dasari Dadan , Agustina Fitriani
Published: October 2023

Batubara adalah salah satu jenis bahan bakar fosil yang seringdimanfaatkan oleh perusahaan industri. Fluktuasi harga batubaramengakibatkan perusahaan industri sulit untuk memperkirakan hargabatubara. Dengan demikian dibutuhkan alokasi anggaran dana berupaperkiraan harga batubara. Sebuah model prediksi harga batubara acuanuntuk melihat harga batubara acuan di masa yang akan datang sangatdiperlukan, sehingga perusahaan industri dapat mengalokasikan danadengan tepat untuk memaksimalkan keuntungan dan meminimumkanbiaya produksi. Terdapat beberapa studi yang membahas tentang prediksiharga batubara acuan menggunakan machine learning yang salah satunyayaitu menggunakan support vector regression (SVR). Namun, metodetersebut masih memiliki kekurangan pada penentuan nilai parameter yangtepat. Diperlukan algoritma optimasi untuk membantu menentukan nilaiparameter yang tepat. Oleh karena itu, pada penelitian ini bertujuan untukmelakukan peramalan harga batubara acuan menggunakan data historisperiode bulan Januari 2009 sampai dengan bulan Oktober 2019, denganmenggunakan metode support vector regression (SVR) yang dioptimasidengan particle swarm optimization (PSO) dan improved-particle swarmoptimization (IPSO), yang dievaluasi hasil peramalannya menggunakanMAPE. Berdasarkan penelitian yang telah dilakukan, prediksi hargabatubara acuan menggunakan metode PSOSVR menghasilkan nilaiMAPE sebesar 3,911% dan metode IPSOSVR menghasilkan nilai MAPEsebesar 3,916%. Sedangkan untuk prediksi menggunakan parameter SVRyang tidak dioptimasi menghasilnya nilai MAPE sebesar 13,388%
Analisis Kestabilan Pemodelan Matematika Penyebaran COVID-19 dengan Adanya Individu Carrier dan Pengaruh Isolasi di DKI Jakarta
Authors: Disviana Sarah , Wiraningsih Eti Dwi , Hadi Ibnu
Published: October 2023

In this research, a mathematic model which describe Covid-19 spreading in DKI Jakarta is constructed. The model consists of susceptible compartment, symptomatic infection comparte- ment, asymptomatic infection compartement, self isolation compartement, isolation at hospital compartement and recover compartement. Next, the disease free stability point will be analyzed to know the stability and simulation wiil be carried out with the help of maple software and octave on the model that has been formed. After doing the simulation using Covid-19 data in Jakarta until July 5th, 2021, the value of basic reproduction number is 0, 04152673249 which means that basic reproduction value less than one. This shows the spread of Covid-19 will slowly disappear.Keywords: Basic Reproduction Number, Covid-19, Mathematic Modelling, Stability.AbstrakDalam penelitian ini, dibentuk model matematika yang menggambarkan penyebaran COVID-19 di DKI Jakarta yang terdiri atas kompartemen rentan, kompartemen terin- feksi bergejala, kompartemen terinfeksi tidak bergejala, kompartemen isolasi di rumah, kompartemen isolasi di rumah sakit dan kompartemen sembuh. Selanjutnya, akan dianalisis titik kesetimbangan bebas penyakit untuk mengetahui kestabilannya dan akan dilakukan simulasi dengan bantuan maple software dan octave. pada model yang su- dah dibentuk. Setelah dilakukan simulasi dengan menggunakan data COVID-19 di DKI Jakarta sampai tanggal 5 Juli 2021, dihasilkan nilai angka reproduksi dasar sebesar 0, 04152673249 yang berarti bahwa angka reproduksi dasar kurang dari satu. Hal ini menunjukkan penyebaran COVID-19 secara perlahan akan menghilang.
Security Analyse des MTP Konzepts
Authors: Madsen Marwin , Palmin Anna , Stutz Andreas , Maurmaier Mathias , Barth Mike
Published: October 2023

Um den Anforderungen an die Flexibilität von Produktionsanlagen in der Prozessindustrie gerecht zu werden, ist die Modularisierung und insbesondere das in der VDI/VDE/NAMUR 2658 beschriebene Module Type Package Konzept ein weithin akzeptierter Ansatz. In diesem Bereich gibt es jedoch bisher nur wenige spezifische Sicherheitsbetrachtungen, weshalb dieser Beitrag Sicherheitsstandards und -richtlinien aufführt, denen das Module Type Package Konzept entsprechen sollte. Darauf aufbauend wird eine Sicherheitsanalyse des Module Type Package Konzepts anhand der IEC 62443, VDI/VDE 2182 und NIST SP 800-82 durchgeführt.
Integration von Drohnen in den urbanen Luftraum
Authors: Grebner Tobias , Fay Alexander
Published: October 2023

In Deutschland soll ein Drohnenverkehrsmanagement (UTM) für die effiziente Planung, Überwachung und Steuerung von Drohnenflügen etabliert werden. Für die Integration von Drohnen in den bestehenden Luftraum bedarf es dabei den Aufbau einer automatisierten Drohneninfrastruktur. Hierfür werden entsprechende Konzepte und Lösungen benötigt, um dieses Vorhaben zu realisieren. In diesem Beitrag werden die dafür benötigten Automatisierungsbedarfe aufgezeigt und ein Konzept zur automatisierten Planung von Drohnenflügen vorgestellt. Die Automatisierungstechnik fungiert dabei als Enabler für ein effizientes und sicheres UTM.
Engineering und Inbetriebnahme von Produktionsanlagen
Authors: Schleipen Miriam , Mersch Tina , Karch Sabrina
Published: October 2023

Um den gewachsenen Anforderungen an Individualität, Flexibilität und Effizienz in der Produktion gerecht zu werden, müssen Anlagenbauer (nicht nur aus dem Automotive-Bereich) ihren Engineering- und Inbetriebnahmeprozess radikal vereinfachen. Eine effektive und durchgängige Digitalisierung des Datenaustauschs über den gesamten Lebenszyklus einer Anlage ermöglicht eine optimale Zusammenarbeit zwischen den beteiligten Akteuren und ist daher ein großer Optimierungs-Hebel. Das Projekt DIAMOND hat sich ein gemeinsames, vernetztes, domänenübergreifendes Datenmodell zum Ziel gesetzt, das in der Industrie mit den dort vorherrschenden Anforderungen nutzbar ist. Hierfür müssen alle beteiligten Prozessschritte, Akteure, Tools, Datenformate und ausgetauschte Informationen im Detail analysiert werden. Die Ergebnisse dieser Analyse werden in diesem Beitrag von den Autoren vorgestellt.
Realisierung einer Folgefunktion für mobile autonome Roboter
Authors: Henke Christoph , Orschau Paul
Published: October 2023

Autonome mobile Roboter (AMR) halten stetigen Einzug in Produktions- und Logistikhallen aber auch vereinzelt für den Warentransport auf der Letzten-Meile in urbanen Umgebungen. Neben der autonomen Navigation dieser Systeme, hat der Einsatz einer Folgefunktion das Potential, eine Effizienzsteigerung in der Intralogistik und Kommissionierung hierbeizuführen, als auch eine alternative Modi für den Individualverkehr in urbanen Umgebungen zu ermöglichen. Hierbei erkennt und identifiziert der AMR den Nutzenden, hält einen definierten Abstand zu diesen und weicht auftretenden Hindernissen aktiv aus. Im folgenden soll ein AMR vorgestellt werden, welcher durch einen modellprädiktiven Regelungsansatz (MPR) und probabilistischer Schätzverfahren zur Bewegungsprädiktion diese Folgefunktion realisiert.
The Ethernet-APL Revolution is Approaching Our Plants
Authors: Trunzer Emanuel , Molina Maria C. , Goebel Sven , Hout Florian , Modersohn Arne , Nothdurft Lars , Plawky Klemens , Seintsch Sven
Published: October 2023

With Ethernet-APL, IT/OT convergence is brought to a next level. High-speed communcation to field devices, elimination of complex infrastructure to extract data from the field, and simplified engineering and maintenance are key advantages. Yet, due to experiences with fieldbus technology, Ethernet-APL is considered as process industry’s last chance for digital field communication. This article presents key success factors. Furthermore, it summarizes the joint community effort by end users and vendors to prevent the repition of flaws experienced during the past fieldbus introduction.
The Figure of the Scandinavian Leader as an Example of Mutual Reflection of Mythological Ideas and Reality in the Early Middle Ages
Authors:   Taras Shevchenko National University of Kyiv, Kyiv, Ukraine, Kukhta Victoriia
Published: October 2023

The article focuses on the image of the Scandinavian leader, on whom the well-being of the population depended. New methodological approaches made it possible to consider the problem of the sacred status of power from a new point of view, in particular, through the interpretation of the image of the ruler and his perception by society and the features of the formation and functioning of rituals and connections between the ruler and higher powers. Modern research within the framework of Scandinavian studies is increasingly raising questions of scientific interest in aspects of the spiritual, religious and everyday life of the medieval society of Scandinavia. Conducting research in this area can help modern researchers to understand better the mentality of the people of that time. One of the important issues is the problem of a special, sacred or sacralized image of the ruler-leader, who becomes the central figure in the Scandinavian society of the medieval era and plays an important role in ensuring its protection and well-being. The problem of the special status of the ruler caused little enthusiasm among the researchers of the past. Previous studies have addressed the problem of studying the place and role of the leader mainly as a political figure, and also considered the formation of the origins of the sacralization of power in the context of religious beliefs. However, none of the studies focused on the image of the Scandinavian leader as a reflection of mythological ideas in the material world and vice versa. The sacred functions of the ruler are usually considered as a consequence of the development of mythological ideas and are presented in the works separately from them. The proposed article attempts to fill the gap in the question of the difference between the sacralization of the power of the ruler among the Scandinavian peoples and trace the reflection and mutual influence of mythology and everyday life through an analysis of the specifics of the mythological worldview and its manifestation in the formation of a stereotype of power in medieval Scandinavian society.
Pediyatrik Kalp Cerrahisinde D Vitamini Eksikliği
Authors: KARACAER Feride
Published: October 2023

D vitamini, çoklu organ sistemlerinin düzgün çalışması için önemli bir hormondur. Konjenital kalp hastalığı olan çocuklarda D vitamini eksikliği sık görülmekte ve kardiyopulmoner baypas uygulaması serum D vitamini düzeylerinde akut düşüşle sonuçlanmaktadır. Düşük D vitamini seviyeleri, kritik hastalarda uzamış mekanik ventilasyon ve hastanede ve yoğun bakım ünitesinde yatış süresinde uzama ile ilişkili potansiyel bir risk faktörü oluşturur. Ayrıca postoperatif düşük D vitamini seviyeleri inotropik destek gereksinimini arttırmaktadır. Postoperatif D vitamini eksikliği, kardiyovasküler disfonksiyon ve klinik seyir arasında gözlenen ilişkiler, D vitamini düzeylerinin perioperatif optimizasyonunun hasta sonuçlarını iyileştirebileceğini düşündürmektedir.