bluuebunny/crossref_metadata_2025 huggingface dataset:
Notas sobre toponimia de origen romano en Álava, complementarias a la obra "Álava / Araba. Los nombres de nuestros pueblos" (2015) de P. Salaberri
Authors: Yarza Urquiola Valeriano
Published: May 2022

En este trabajo presentamos nuestra interpretación y explicación sobre los nombres de las localidades alavesas que proceden del legado de la colonización romana en el territorio, incluido el Condado de Treviño. Tales nombres se extienden por todo el espacio alavés en armonía con los nombres, sobre todo, de origen eusquérico, conformando una realidad histórica que se remonta a 2000 años.
Está también presente en la toponimia alavesa la huella céltica, la más antigua, a lo que parece, en esta zona, anterior en todo caso a romanos y vascones, según se desprende de los testimonios literarios antiguos. Incluimos en el artículo sus nombres de lugar conservados e incorporamos igualmente unos pocos topónimos galorromanos, que parecen haber sido implantados en el dominio alavés en un momento cercano a la caída del Imperio Romano por gentes procedentes de Aquitania.
Obituario Profesor Dr. Günter Mertins
Authors: Baquero Álvaro
Published: May 2022

Todos los colegas, profesores, alumnos y amigos nos unimos para expresar nuestro sentimiento de tristeza ante la partida del profesor doctor Günter Menrtins, gran maestro de la enseñanza de la geografía y el ordenamiento territorial, así como organizador en Colombia y Alemania, de programas académicos relacionados con estos temas.
Pedagogía del afecto: Un amalgamamiento de perspectivas para la educación del colombiano del nuevo milenio
Authors: May Ofelia
Published: May 2022

En este artículo se presentan las características del tipo de pedagogía que, según la autora, se necesita en un país como Colombia: una pedagogía del afecto. Se describen seis rasgos de tal práctica pedagógica: una mirada de cerca al contexto sociocultural; el uso de la metáfora como herramienta pedagógica; el trabajo para aumentar el grado de conciencia lingüística de los estudiantes; la enseñanza que tiene en cuenta las relaciones de poder en el aula; utilizar la riqueza de la individualidad de los educandos; conformar una comunidad de educadores investigadores. Así mismo, se incluyen algunos ejemplos de la experiencia docente de la autora para ilustrar la forma como los maestros del Caribe colombiano pueden hacer realidad tal propuesta pedagógica en sus salones de clase.
El maestro, el texto y el alumno en una conversación para el aprendizaje.
Authors: Barletta Manjarrés Norma
Published: May 2022

La función interpersonal del lenguaje (Halliday, 1994) es realizada en los textos escolares primordialmente por medio de las unidades textuales (introducciones, vínculos, transiciones y conclusiones), las cuales deberían propiciar una conversación fluida entre escritor y lector. Sin embargo, las unidades textuales en los textos escolares a menudo son insuficientes o inefectivas, e incluso a veces casi inexistentes (Moss, 1998). Este artículo muestra un análisis del lenguaje utilizado por los maestros de ciencias naturales y ciencias sociales en la interacción con los libros de texto para propiciar el aprendizaje en el contexto escolar de Barranquilla (Colombia). El estudio nos revela una variedad de estrategias utilizadas por los docentes para acercar a sus aprendices, de breve experiencia en el mundo y poca pericia lectora, al mundo que dibujan los textos.
Aplicación de la inteligencia artificial en la formulación de políticas públicas relacionadas con la vocación agrícola de las regiones
Authors: Sánchez-Céspedes Juan-Manuel , Rodríguez-Miranda Juan-Pablo , Salcedo-Parra Octavio-José
Published: May 2022

El objetivo de este trabajo fue realizar una revisión sobre el uso de las técnicas de inteligencia artificial (IA) aplicadas a la formulación de políticas públicas que contribuyan a la vocación agrícola de las regiones, para lo cual se usó una metodología descriptiva con enfoque mixto. El diseño metodológico utilizado fue el PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses). Las publicaciones analizadas fueron tomadas de la base de datos de Scopus. Para el análisis cuantitativo se utilizaron las herramientas informáticas VosViewer y la librería Bibliometrix del lenguaje R. Como resultado se encontró que las técnicas de IA se han aplicado para identificar zonas con vocación agrícola o para encontrar mejores prácticas agrícolas que promuevan el desarrollo sostenible. Se concluyó que esta área de investigación es incipiente y que es necesario generar nuevos modelos que sean más robustos e incluyan variables demográficas, sociales, ambientales, económicas y políticas.
Driver Drowsiness Detection Using Gray Wolf Optimizer Based on Face and Eye Tracking
Authors: Jasim Sarah S. , Abdul Hassan Alia K. , Turner Scott
Published: May 2022

It is critical today to provide safe and collision-free transport. As a result, identifying the driver’s drowsiness before their capacity to drive is jeopardized. An automated hybrid drowsiness classification method that incorporates the artificial neural network (ANN) and the gray wolf optimizer (GWO) is presented to discriminate human drowsiness and fatigue for this aim. The proposed method is evaluated in alert and sleep-deprived settings on the driver drowsiness detection of video dataset from the National Tsing Hua University Computer Vision Lab. The video was subjected to various video and image processing techniques to detect the drivers’ eye condition. Four features of the eye were extracted to determine the condition of drowsiness, the percentage of eyelid closure (PERCLOS), blink frequency, maximum closure duration of the eyes, and eye aspect ratio (ARE). These parameters were then integrated into an ANN and combined with the proposed method (gray wolf optimizer with ANN [GWOANN]) for drowsiness classification. The accuracy of these models was calculated, and the results demonstrate that the proposed method is the best. An Adadelta optimizer with 3 and 4 hidden layer networks of (13, 9, 7, and 5) and (200, 150, 100, 50, and 25) neurons was utilized. The GWOANN technique had 91.18% and 97.06% accuracy, whereas the ANN model had 82.35% and 86.76%.
Entwicklungsverläufe kindlicher Dysarthrien: Auditive Profile und Verständlichkeit
Authors: Haas E. , Ziegler W. , Scholderle T.
Published: May 2022

Zusammenfassung Trotz der hohen Prävalenz kindlicher Dysarthrien ist bislang über das klinische Bild, mögliche Entwicklungsverläufe sowie resultierende Verständlichkeitseinschränkungen nur wenig bekannt. In der vorliegende Längsschnittstudie werden auditive Profile und Verständlichkeitsdaten von 14 Kindern mit neurologischen Erkrankungen vor dem Hintergrund der typischen sprechmotorischen Entwicklung dargestellt. Grundlage für die Analysen war das BoDyS-KiD Material, welches die Elizitierung standardisierter Sprechproben sowie eine Altersnormierung erlaubt. Es zeigte sich, dass sich die Kinder mit neurologischen Erkrankungen hinsichtlich der auditiven Profile relativ konstant entwickelten, während für die Verständlichkeit deutlich mehr Variabilität der individuellen Verläufe zu sehen war. Zuletzt wurde ein starker Zusammenhang zwischen der Entwicklung der Verständlichkeit und auditiven Urteilen zur Artikulation gefunden. Schlüsselwörter: Kindliche Dysarthrie, Entwicklungsverläufe, Verständlichkeit Abstract Despite the high prevalence of childhood dysarthria, little is known about the clinical picture, developmental trajectories, and resulting restrictions in intelligibility. In the present longitudinal study, auditory-perceptual profiles and intelligibility data of 14 children with neurological conditions are presented against the background of typical speech-motor development. All analyses were based on the BoDyS-KiD material, which allows for the elicitation of standard speech samples and provides age norms.We showed that the children with neurological conditions had rather stable developmental trajectories with regard to their auditory-perceptual profiles, whereas for intelligibility significantly more variability in the individual trajectories was seen. In addition, a strong relationship was apparent between the development of intelligibility and the auditory-perceptual ratings of articulation. Keywords: childhood dysarthria, developmental courses, intelligibility
ANALISIS ANTREAN BUS NONPATAS JALUR TIMUR TERMINAL TIRTONADI KOTA SURAKARTA MENGGUNAKAN METODE BAYESIAN
Authors: Faizah Rizka Nur , Sugito Sugito , Sudarno Sudarno
Published: May 2022

The queuing system relates to customers and service facilities. Queuing theory designs service facilities to address service requests. Queues occur if the service capacity is not sufficient to provide services to many customers. The queuing phenomenon occurs on non-patas buses on the eastern route of Tirtonadi Terminal, Surakarta with Surabaya, Karanganyar, Wonogiri, Purwodadi and Pedesaan buses. The Bayesian method combines information from current research and previous studies with similar cases, and produces a posterior distribution to form a queuing system model and measure of service system performance. The bus queuing system model for Surabaya, Karanganyar, Wonogiri and Purwodadi has a Gamma-distributed arrival and service pattern. Pedesaan buses has an arrival pattern with a Gamma distribution and a service pattern with an Inverse Gamma distribution. Each line has 1 bus line as a service system, FIFO queue discipline, the number of customer capacity and call sources is not limited. The Surabaya buses has the highest probability of 93.49% that the line is idle and the Pedesaan buses  has the highest probability that the line will be busy serving at 89.50%. The queuing system are considered good because the five lines of service facilities are able to meet customer needs. Keywords: Tirtonadi Terminal, Bayesian, Posterior Distribution, Queue Models, System Performance Measures
PREDIKSI HARGA JUAL KAKAO DENGAN METODE LONG SHORT-TERM MEMORY MENGGUNAKAN METODE OPTIMASI ROOT MEAN SQUARE PROPAGATION DAN ADAPTIVE MOMENT ESTIMATION DILENGKAPI GUI RSHINY
Authors: Setiawan Yayan , Tarno Tarno , Kartikasari Puspita
Published: May 2022

Cocoa is a leading commodity from Indonesia. Cocoa prices from time to time fluctuate. Accurate Cocoa price predictions are very important to ensure future prices and help decision making. Cocoa price data is non-stationary and nonlinear, so to make accurate predictions, an Artificial Neural Network (ANN) model is applied. One type of ANN is Long Short-Term Memory (LSTM). LSTM has superior performance for time series based prediction. Optimization methods used are Root Mean Square Propagation, and Adaptive Moment Estimation. The best model was selected based on the Means Square Error (MSE) and Mean Absolute Percentage Error (MAPE) values. This study uses the R-Shiny GUI to facilitate the use of LSTM for users who are less proficient in programming languages. Based on the results, the Long Short-Term Memory model with the Adaptive Moment Estimation optimization method is more optimal than the Long Short-Term Memory with Root Mean Square Propagation seen from the smaller MSE and MAPE values. This study used 27 combinations of hyperparameters. Prediction results with LSTM using the R-Shiny GUI have different levels of accuracy in each experiment. The best accuracy value is experiment with MSE value of 491505.1 and MAPE value of 1.739155% . Cocoa Price Forecasting for the period November to December 2021 tends to decline.Keywords : Cocoa Prices, Forecasting, Long Short-Term Memory, Root Mean Square Propagation, Adaptive Moment Estimation, GUI R-Shiny
ANALISIS KLASIFIKASI REKAPITULASI PENGADUAN PELANGGAN UP3 PT. PLN SEMARANG MENGGUNAKAN ALGORITMA QUEST (QUICK, UNBIASED, AND EFFICIENT STATISTICAL TREE)
Authors: Widiutama Sang Nur Cahya , Warsito Budi , Sudarno Sudarno
Published: May 2022

Every company must have a way to solve the problems faced by its customers, PT. PLN Persero, the Indonesian national energy utility, must have a method to handle consumer complaints. PT. PLN Persero has a recovery time strategy for resolving consumer concerns, but it is not always effective in doing so. The QUEST algorithm (Quick, Unbiased, and Efficient Statistical Tree) approach is used to classify the problem of the recovery time policy failing on specific complaints. Classification of complaint data in order to obtain characteristics and factors as the main influence on the complaints and be able to provide new opinions for PT. PLN to address customer complaints. The QUEST method is a classification tree technique with two nodes per split that yields an unbiased variable. The QUEST method may be used with both category and numerical data. QUEST uses three stages to create a classification tree: picking the splitting variable, identifying the split point, and pausing the split. The classification tree generated has a tree depth of four layers and obtained three essential factors in the classification, namely weather, the number of customers experiencing the same event, and distance from the site. The classification tree accuracy level is 0.851 (or 85.1%), with a prediction error rate of 0.149 (or 14.9%).Keywords: binary classification tree, recovery time, QUEST algorithm.
METODE BAYESIAN PADA SISTEM ANTREAN PELAYANAN MENGGUNAKAN GUI R (Studi Kasus: Antrean Pelayanan di Kantor Dinas Kependudukan dan Pencatatan Sipil Kota Semarang)
Authors: Mufidah Atikah , Sugito Sugito , Maruddani Di Asih I
Published: May 2022

The increase population of Semarang City has given many kinds of problem from births, deaths, marriages and other important events. The change of population identity data causes the number of visitors to the Semarang City Dispendukcapil to increase so that the service system becomes busy. The study aims to determine whether the service system in the Dispendukcapil is good or not. This can be known by determining the distribution of arrival patterns and service patterns to obtain a queuing system model and system performance measures. In this study, the distribution of arrival patterns and service patterns is determined by finding the posterior distribution using the Bayesian method. The Bayesian method was chosen because it is able to combine the distribution of the sample in the current study with previous information for the same case. Posterior distribution can be obtained if it has elements, namely prior distribution and likelihood function. The distribution of arrival patterns and service patterns obtained from prior information, follows the Discrete Uniform and Log-Normal distribution. Based on the calculation and analysis of the posterior distribution, the service system model of the Dispendukcapil Semarang City is obtained, namely for the Customer Service counter, and  for the legalization counter and the population document service counter with a good service system.Keywords:Population, Dispendukcapil Semarang City, queue, Bayesian, prior distribution, posterior distribution, queuing system model, Beta, Gamma, Inverse Gamma.
Lump solutions to a generalized nonlinear PDE with four fourth-order terms
Authors: Chen Qingxian , Ma Wen-Xiu , Huang Yehui
Published: May 2022

A combined fourth-order (2 + 1)-dimensional nonlinear partial differential equation which contains four fourth-order nonlinear terms and all second-order linear terms is formulated. This equation covers three generalized KP, Hirota–Satsuma–Ito, and Calogero–Bogoyavlenskii–Schiff equations as examples, which have physical applications in the study of various nonlinear phenomena in nature. In terms of some settings of the coefficients, a class of lump solutions is constructed by the Hirota bilinear method and the solutions are calculated through the symbolic computation system of Maple. Meanwhile, the relation between the coefficients and the solution is explored. Two special lump solutions are generated by taking proper values for the involved coefficients and parameters, and their dynamic behaviors are studied, as illustrative examples. The primary advantage of the Hirota bilinear method is to transform a nonlinear equation into a bilinear one so that the targeted equation can be easily studied.
(Mal-)practices of Auctioneering on the English Property Market During the 19th Century
Authors: Fasold Stephan
Published: May 2022

In the 19th century, auctions became a widespread form of transaction for real estate in England. Contemporaries viewed auctioning as an effective method for the transaction of land, in terms of price determination and transparency. Contrary to these theoretical assumptions, the article shows that in practice it was not economic efficiency but group interests that played a decisive role in the establishment of the auction mechanism. The article provides an analysis of the formal and informal rules of the auction trade for real estate and argues that 19th century real estate auctions did not always lead to optimal results in terms of valuation and allocation because power structures played a greater role in them than auction theory assumes.
Glücksspiel oder ökonomisches Werturteil mit Folgen?
Authors: Schroeter Felix
Published: May 2022

Despite his prominence in the socio-political debate on the German housing market before the First World War, Rudolph Eberstadt’s (1856-1922) concept of speculation is largely ignored today by German scholars of economics and economic history. Accordingly, speculative operations on markets are seen rather to determine economic values than to merely assess them. Through the channel of the prevailing institutions of credit and property, they determine future values as well as the modalities of how the real economy will produce their corresponding equivalents. Eberstadt’s conceptual works on the general notion of speculation rely on his institutional-economic investigation of the housing market in metropolitan areas. He conceives loan-financed speculative deals as a legally backed instrument of redistribution, which serves the private sector to realize capital gains from mere value assessments. His approach critically highlights the normative power of financial liabilities from a politicoeconomic perspective. The severe criticism that this approach evoked on the part of market-liberal economists may explain why academics largely ignore Eberstadt’s insights today.
Value of soluble fms-like tyrosine kinase-1/placental growth factor test in third trimester of pregnancy for predicting preeclampsia in asymptomatic women
Authors: Hanson Ele , Rull Kristiina , Ratnik Kaspar , Vaas Pille , Teesalu Pille , Laan Maris
Published: May 2022

Objectives

To estimate the value of screening maternal serum soluble fms-like tyrosine kinase/placental growth factor (sFlt-1/PlGF) ratio in asymptomatic women during 3rd trimester to predict preeclampsia (PE) development.

Methods

The investigated group comprised of 178 pregnant women. During this gestation, 24 cases had developed PE and 12 isolated gestational hypertension (GH); whereas 142 remained normotensive. Blood samples were collected between 180 and 259 gestational days (g.d.) when the participants were asymptomatic. Serums were analyzed using the BRAHMS sFlt-1 Kryptor/BRAHMS PlGF plus Kryptor PE ratio test (Thermo Fisher Scientific, Henningdorf, Germany). High-risk pregnancies for the PE development were defined as sFlt-1/PlGF>38.

Results

The detection rate (DR) for manifestation of PE≤30 days after sampling was 83.3% and overall DR during pregnancy 58.3%. Ten of 15 women having false positive prediction of PE suffered from GH, preterm birth and/or delivery of a small-for-gestational-age-newborn. False positive rate was significantly higher at 239–253 g.d. compared to sampling at 210–224 g.d. and 225–238 g.d. (21.9% vs. 7.8% and 5.3%; p < 0.05).

Conclusions

The sFlt-1/PlGF test during 180–259 g.d. detected approximately half of subsequent PE cases. An optimal time to use the test for screening purposes was estimated 225–238 g.d. (DR 66.7%). False positive test results were more common to cases with other adverse pregnancy outcomes and samples drawn at higher gestational age.
Photonic (computational) memories: tunable nanophotonics for data storage and computing
Authors: Lian Chuanyu , Vagionas Christos , Alexoudi Theonitsa , Pleros Nikos , Youngblood Nathan , Ríos Carlos
Published: May 2022

The exponential growth of information stored in data centers and computational power required for various data-intensive applications, such as deep learning and AI, call for new strategies to improve or move beyond the traditional von Neumann architecture. Recent achievements in information storage and computation in the optical domain, enabling energy-efficient, fast, and high-bandwidth data processing, show great potential for photonics to overcome the von Neumann bottleneck and reduce the energy wasted to Joule heating. Optically readable memories are fundamental in this process, and while light-based storage has traditionally (and commercially) employed free-space optics, recent developments in photonic integrated circuits (PICs) and optical nano-materials have opened the doors to new opportunities on-chip. Photonic memories have yet to rival their electronic digital counterparts in storage density; however, their inherent analog nature and ultrahigh bandwidth make them ideal for unconventional computing strategies. Here, we review emerging nanophotonic devices that possess memory capabilities by elaborating on their tunable mechanisms and evaluating them in terms of scalability and device performance. Moreover, we discuss the progress on large-scale architectures for photonic memory arrays and optical computing primarily based on memory performance.
El uso de Twitter como instrumento de comunicación en los destinos turísticos de España y Portugal durante la crisis de COVID-19
Authors: Pastor Francisco , Cabrera González María Ángeles , De Jesús Faustino Joao Paulo
Published: May 2022

Esta investigación busca analizar la actividad, los temas más usados y la capacidad para generar interacción de una docena de destinos turísticos de España y Portugal a través de la red social Twitter en los meses de noviembre y diciembre de 2020, coincidiendo con la tercera oleada de la crisis generada por la pandemia de COVID-19, que afectó de forma significativa a los dos países. La muestra está formada por un total de seis destinos turísticos españoles y seis portugueses, que se corresponden con áreas Nielsen, zonas geográficas divididas por esta empresa de investigación de mercados en función de sus características mercadológicas homogéneas. Así, en la muestra constan cinco tipos de destino por cada país: región o comunidad autónoma (Andalucía, Algarve), gran destino litoral (Baleares, Azores), gran municipio (Madrid, Lisboa), ciudad media (Málaga, Oporto) y destino de interior (Castilla y León, Centro de Portugal), a los que suman las cuentas nacionales de Turismo de España y Portugal (Turespaña y Visit Portugal). Para conseguir este objetivo, se ha realizado un análisis de contenido de los 1.382 tuits publicados por las cuentas oficiales de estos destinos. Se concluye que la pandemia no provocó un cambio significativo en los contenidos incluidos en Twitter y que los destinos no usaron todas las potencialidades que esta red social ofrece como vía de información.
Surface Texturing Potential on Carbide Insert in Reducing Aluminium Alloy Adhesiveness during Machining
Authors: Yun Qi Chia , Mohd Razali Mohd Nizar , Jamaludin Ahmad Shahir , Ahmad Mokhtar Ahmad Redza , Hamzah Saiful Bahari , Osman Mohd Shahril
Published: May 2022

Aluminum alloy is a widely used material which contributes greatly in numerous engineering applications. Aluminum alloy can be considered as having low strength and it is less likely to experience tooling difficulty. However, the complexity of machining aluminum alloy is related to its adhesive behavior, which capable to impede the machining operations where build-up-edge can be observed easily to occur. Since machining process generates a lot of energy due to friction and adhesive contact between tool and material, it is suggested to apply wet cutting method during machining of aluminum alloy to decrease the likeliness of aluminum alloy chip to adhere onto the tool surface. However, this method of machining is still having low effectiveness whereas the limitation of cutting fluid to enter the tool-chip sticking zone. Thus, the fabrication of textures on carbide insert rake surface is one of the predominant methods to enhance the sustainability of turning process with aluminum alloy workpiece. In this study, grinding process was utilized using Okamoto ACC52ST surface grinding machine to fabricate textures, where it is assumed that high effectiveness of lubricant can be retained and friction at tool-chip interface can be reduced. Turning process was conducted with the application of ROMI C420 lathe machine to investigate the adhesive behavior of aluminum alloy. It is observed that, the adhesive behavior of aluminum alloy was minimized with the application of textured carbide insert especially in wet cutting condition in general. Additionally, it can observed that, even at relatively high cutting speed and depth of cut, less adhesion behavior of aluminum alloy is obtained for textured carbide insert in wet cutting condition. This can be considered as a gain in productivity, whereas the adhesive behavior for non-textured carbide insert can only be reduced if only low cutting speed condition and wet cutting method are utilized.
Investigations on Effect of Different Ball Burnishing Conditions on Surface Roughness Using Response Surface Methodology
Authors: Kumara Pavana , Purohit G. K.
Published: May 2022

Burnishing is becoming popular post-machining surface finishing technique due to its excellent features. The use of high finish and hard, ball or roller on pre-machined surface with pressure smooths out protrusions to fill the valleys and thus, resulting in lower surface roughness. In present work, ball burnishing has been carried out on free cutting brass in different burnishing conditions such as dry (Plain Burnishing, PB), lubricated (LB) and with abrasives (Abrasive Assisted Burnishing, AAB) to establish the relationship between surface roughness and the four process parameters like burnishing force, burnishing feed, burnishing speed and number of passes. The effect of using lubricants and abrasive particles is compared over PB. Design of Experiments based on Response Surface Methodology (RSM) is adopted to develop the mathematical models of second order for each above said conditions. Analysis of Variance (ANOVA) is carried out to study the effect of burnishing parameters on response and to check the adequacy of the models developed. The results showed significant reduction in the surface roughness with all cases. Surface roughness of level 0.1043 µm can be achieved from the burnishing of the turned surface having roughness level of 2.7838 µm.
Investigation of Inventory Record Accuracy in Product-Service System
Authors: Arifin Rinei , Ismail Siti Zubaidah
Published: May 2022

In this paper we examine Product-Service System (PSS) in manufacturing industries application to inventory control in Malaysian Elaeis Guineensis or known as palm oil industries. We are particularly interested in the record of inventory accuracy for palm oil tree, fresh fruit bunch (FFB) and palm oil. If the inventory is uncontrolled or not accurate, the production will face problems to meet customers demand. We focus not just on inventory activities themselves, but also the key linkages between production, market, supply chain, and oil production. These linkages are examined using generic model using IDEF0 which consists five charts: A0 chart, A1 chart, A2 chart, A3 chart and A4 chart. This paper has provided useful insights into the actual data collection and the preliminary analysis, as well as the contextual and associated information relating to inventory control system. Further research will be to evaluate the generic model development using Technomatix Logistic and Material Flow Simulation Software.
Application of Mahalanobis-Taguchi system in ascending case of methadone flexi dispensing (MFlex) program
Authors: Zaini S.N.A.M. , Saad S.K.M. , Abu M.Y.
Published: May 2022

Patient under methadone flexi dispensing (MFlex) program is subjected to do methadone dosage trends like ascending case since no parameters have been used to identify the patient who has potential rate of recovery. Consequently, the existing system does not have a stable ecosystem towards classification and optimization due to inaccurate measurement methods and lack of justification of significant parameters which will influence the accuracy of diagnosis. The objective is to apply Mahalanobis-Taguchi system (MTS) in the MFlex program as it has never been done in previous studies. The data is collected at Bandar Pekan clinic with 16 parameters. Two types of MTS methods are used like RT-Method and T-Method for classification and optimization respectively. As a result, RT-Method is able to classify the average Mahalanobis distance (MD) of healthy and unhealthy with 1.0000 and 21387.1249 respectively. Moreover, T-Method is able to evaluate the significant parameters with 10 parameters of positive degree of contribution. 6 unknown samples have been diagnosed using MTS with different number of positive and negative degree of contribution to achieve lower MD. Type 2 of 6 modifications has been selected as the best proposed solution as it shows the lowest positive MD value. In conclusion, a pharmacist from Bandar Pekan clinic has confirmed that MTS is able to solve a problem in classification and optimization of MFlex program.
Fabrication And Characterization of Al/ Sic/ Gr Hybrid Metal Matrix Composite Fabricated By Powder Metallurgy
Authors: Ismail Norfatihah , Asif Iqbal Akm , Mat Yahya Nafrizuan , Sakib Md. Nazmus
Published: May 2022

This research focuses on the impact of reinforcing particle size in Metal Matrix Composites (MMC). Because of its comprehensive mechanical qualities, MMC is widely employed in the aerospace and automobile industries. In order to increase the mechanical qualities of MMC, researchers are looking into ways to improve its performance. The aim of the research is to use powder metallurgy to fabricate an Al-SiC-Gr hybrid composite and explore its microstructure and mechanical characteristics, such as hardness and impact strength. Powder metallurgy will be utilised in this study, with pure aluminium, silicon carbide, and graphite being mixed in proportion to the volume of the specimen. For Pure Al, 85 %, 80 %, and % were used, while for SiC, 10%, 15%, and 20% were used, and for Gr, 5% was utilised. Hardness Vickers testing and impact testing are among the experiments conducted. The microstructural analysis will also be carried out to assess the particle distribution in the MMC. The microhardness value of HRV 36.94 was discovered to be improved by reinforcing in Al+15% SiC+5% Gr.
ERGONOMICS KNOWLEDGE AMONG ENGINEERING STUDENTS IN PULAU PINANG MALAYSIA
Authors: Jaafar R. , Akmal A. , Libasin Z.
Published: May 2022

Ergonomics knowledge helps in its right application and contributes significantly to the general well-being and safety of students.  Ergonomics in Malaysia is a relatively new concept and yet to be considered an essential component of most organizations. The purpose of this study is to examine the engineering students in Universiti Teknologi MARA Cawangan Pulau Pinang (UiTMCPP),  Malaysia on their ergonomics knowledge level. Questionnaires were distributed to 246 engineering students of mechanical, civil, chemical, and electrical in UiTMCPP and the responses were analyzed using SPSS version 15. The result of their ergonomics knowledge found that the average mean score and standard deviation were 2.74 and 1.21 respectively. It shows that their ergonomics knowledge level was moderate. The average mean score of the steps taken by the university management is 4.03 which is a high level. The university management and respective school must give regular ergonomics education and training for the students as well as university staff to increase the ergonomics knowledge to a better level.
Potential Application of Artificial Neural Network (ANN) Analysis Method on Malaysian Road Crash Data
Authors: Jamaludin Ahmad Shahir , Zainal Abidin Ahmad Noor Syukri , Muhd Razali Mohd Nizar , Roslan Azzuhana , Shahril Roziana , Mohd Jawi Zulhaidi , Abu Kassim Khairil Anwar
Published: May 2022

By allowing the movement of commodities and people, road transportation benefits both nations and people. This provides improved access to work opportunities, educational attainment, recreation, and healthcare, all of which have a direct and indirect influence on people. The influence on road transportation, on the other hand, has a detrimental impact on people's health. When addressing road traffic accidents, it is common known that it has merely become a global pandemic, with over a million people dying on the road each year. Malaysia, as a growing country, has identified road safety as a major issue that must be addressed. Reliable road safety statistics are critical for comprehending, assessing, and monitoring the nature and scope of the road safety problem and its solutions, for setting ambitious but realistic safety targets, for designing and implementing effective road safety policies, and for monitoring their success. Several approaches are presently utilized by road safety researchers to produce road safety indicators. In Malaysia, nearly all decisions made by the country's higher authorities to enhance road safety are based on data supplied by relevant stakeholders. As a result, having the proper application of analysis as well as the trustworthiness of the data itself is critical. This article will give a review of the possible use of the Artificial Neural Network (ANN) Analysis technique on traffic road collision data and what it may provide to assist monitor or forecast road safety issues, specifically in Malaysia. A new era in the field of road accident investigation is being ushered in by the development and application of analytical methodologies, which are creating previously unimaginable situations. Due to the convergence of recent advancements in accident research models and the availability of potentially new sources of traffic data, this paradigm shift has been made possible. The study of road crashes has benefited significantly from the development of more advanced data processing methodologies and frameworks, thus the researchers will able to extract significant conclusions from the study of traffic data thanks to the application of these approaches.
Risk analysis on crucial sector priority using Analytical Hierarchy Process (AHP) and House of Risk (HoR)
Authors: Wahyukaton  , FV Mohamad Refaldi
Published: May 2022

There are many sectors in an company can trigger the risks, which are internal factor and external factor. By means of Risk Management, those risks can be managed. A decision making using Analytical Hierarchy Process (AHP) method was to find the elected risks as the risks mitigation then will be managed using House of Risk (HOR) method. The Risk Cost, there is a rise of Cost of Good Sold (CoGS) that can decrease the profit, was the largest risk weight, 0.132 point. And it was known that the high risk for the obstruction of target completion was caused by the shifting of most of the production schedule, so that those risks were needed to be managed and mitigated.
Investigation of Optimum EDM Die Sinking Parameters in Micro Dimple Machining
Authors: Jie Ying Lee , Abdul Manaf Ahmad Rosli
Published: May 2022

Micro dimple is a standard surface structure that is commonly used in micro-moulds, micro/nano-fluid devices, micromechanical systems, and bionic functional surfaces. These microstructure surfaces can be used for optical communication systems, micro sensors, flat panel display, light emitting diode applications and others. Many researchers have performed investigations on  the parameters that help in manufacturing the micro dimple. However, there is still limited research on the certain parameters that will affect the micro dimple  using EDM die sinking machine. EDM die sinking process involved a tool and workpiece material which immersed in a dielectric fluid medium and use the electrical spark discharges from electric pulse generation to remove the workpiece material. The actual performance of the surface integrity and form accuracy in micro dimple by EDM die sinking machine remains unclear. Therefore, this research attempts to investigate the effect of the dimple measurement such as diameter, depth and surface roughness (Ra) to the parameters which is surface roughness (Rz), sparking gap and type of electrode. By utilising the parameters, the lab experiment was conducted, and their surface integrity, effects in micro dimple behaviour were investigated. It was discovered that the higher surface roughness (Rz), the higher current produced thus  erodes the material and caused the measurement of the dimple (diameter, depth and surface roughness (Ra)) differed from the expected size. Also the findings that the surface integrity was ununiformed due  to the  tool worn out occurred during the electric spark process causing high material rate removal. Other than that, the material electrode which has the high thermal conductivity and melting point resulted the best form accuracy of micro dimple.
Factors influencing the duration of hospitalization of patients with schizophrenia
Authors: Velelekou Anna , Papathanasiou Ioanna V. , Alikari Victoria , Papagiannis Dimitrios , Tsaras Konstantinos , Fradelos Evangelos C
Published: May 2022

Introduction. Severe mental disorders represent an important and large proportion of healthcare resource utilization and are associated with increased hospitalization rates and costs. Given the high percentage of total hospital days and costs associated with caring for people with psychotic disorders, a better understanding of the factors that determine the duration of hospitalization of patients with such disorders is imperative.

Purpose. The aim of the present study was to investigate socio-demographic, clinical and psychosocial characteristics of patients with schizophrenia, admitted to a Greek public psychiatric hospital, and the relationship between these characteristics and duration of hospitalization among these patients.

Methods. This is a cross-sectional study. The study sample consisted of 103 patients diagnosed with schizophrenia (F-20). The collection of data was performed by using the NEO-Five Factor Inventory, the Connor-Davidson Resilience Scale (CD-RISC25), Multidimensional Scale of Perceived Social Support, (MSPSS), Positive and Negative Syndrome Scale (PANSS), Global Assessment of Functioning scale (GAF) for assessing key personality factors, psychological resilience, social support, symptom severity and the severity of the disease, respectively. Descriptive analyses and inferential statistic methods were applied. Correlation between socio-demographic, psychosocial or clinical characteristics with the length of stay were explored. In addition, linear regression analysis was performed in order to examine predicting factors for the duration of hospitalization. All statistical analysis was performed using SPSS v.25.

Results. The mean age of the sample was 43.9 (SD = ±11.4) years, 67% of patients were men, and the mean length of hospitalization was 40.7 days. Factors found to be significantly associated with length of stay in the overall sample include the previous admissions (p=0.010), the type of admission (compulsory or voluntary) (p=0.017), bed rest (p=0.043) and duration of bed rest (p=0.002), and the existence of social support networks especially from friends (p=0.018).

Conclusions. Our findings indicate that basic psychosocial and clinical factors were associated with the duration of hospital stay. Duration of hospitalization results from a complex interface between characteristics and activities of the health system, patient, and clinician’s influence on discharge timing, which requires additional study. Our findings further warrant the need for policymakers to consider socio-demographic status, psychosocial and clinical factors when allocating resources to hospitals caring for patients with severe mental disorders.
Pilvo aortos aneurizmos segmentavimas neuroniniais tinklais kompiuterinės tomografijos nuotraukose
Authors: Šubonienė Aušra
Published: May 2022

Pilvo aortos aneurizmos diagnostikai ir stebėsenai dažnai naudojami kompiuterinės tomografijos vaizdai. Kontrastinėje tomografijos nuotraukoje kontrastas yra gerai matomas, tačiau automatinis trombo segmentavimas yra daug sudėtingesnė problema dėl aplink trombą esančių panašaus intensyvumo vaizdo taškų, vaizduojančių kitus vidaus organus. Šiame darbe atliekama pilvo aortos kontrasto ir trombo segmentacija naudojant tris neuroninius tinklus: Res-Net-100, DeepLab V3 ir U-Net. Lyginami rezultatai, gauti naudojant skirtingas nuostolių funkcijas, taip pat taikomas programiškai išskaičiuotų trombo žymėjimų paruošimas naudojant morfologines operacijas. Taip pat pritaikomas atsitiktinis neuronų išmetimas ir klasifikavimas naudojant sumažinto lango kompiuterinės tomografijos vaizdus.
Pharmacokinetics and bioavailability of curdione in mice by UPLC-MS/MS
Authors: Liang Qishun , Chen Tianyu , Luo Lvqi , Ma Yizhe , Wen Congcong , Huang Xueli
Published: May 2022

A UPLC-MS/MS method was developed to determinate curdione in the mouse blood, and the pharmacokinetics of curdione in mice after intravenous (5 mg kg−1) and oral (20 mg kg−1) administration were studied. The HSS T3 column was used for separation, and column temperature was set at 40 °C. Multiple reaction monitoring (MRM) mode were used for determination of curdione. Blood samples were taken from the caudal vein of Institute of Cancer Research (ICR) mice after administration of curdione. It showed a good linear relationship in the range of 1–500 ng mL−1 (r > 0.998); the intra-day precision was <13%, the inter-day precision was <15%, and the accuracy was 90%–105%, the recovery was >77%, and the matrix effect was 97%–107%. The half-life was relatively short, and the bioavailability was 6.5%. The developed method was suitable for the pharmacokinetics of curdione in mice.
Nanoscale intergrowths in the bastnäsite–synchysite series record transition toward thermodynamic equilibrium
Authors: Ciobanu C. L. , Cook N. J. , Slattery A. D. , Ehrig K. , Liu W. Y.
Published: May 2022

The accelerated pace of transition to green energy technologies has led to increased demand for rare-earth elements (REEs). Fluorocarbonates from the bastnäsite [REE(CO3)F]—synchysite [CaREE(CO3)2F] group are abundant in nature and the dominant REE minerals in the >10 billion ton Olympic Dam Cu–U–Au–Ag deposit, South Australia. Intergrowths of bastnäsite and synchysite slabs at the nanometer to micron scales are the rule rather than the exception and account for structural and compositional changes between the two endmembers. This article reviews REE-fluorocarbonate mineralogy at Olympic Dam with emphasis on the significance of intergrowths among bastnäsite and synchysite for achievement of thermodynamic equilibrium. Imaging by high-angle annular dark-field scanning transmission electron microscopy (HAADF STEM) allows visualization of atomic-scale periodicity and structural modularity in REE fluorocarbonates and, in turn, determination of domain compositions, which are otherwise below the spatial resolution of microbeam methods. Despite highly irregular, such domains featuring atomic-scale intergrowths can approach the compositions of the next intermediate member phase within each host, implying formation in a system close to thermodynamic equilibrium.

Graphic Abstract
The Theory of Generations Importance for Implementing Medical and Social Needs of Children and Their Families in Russia
Authors: Chicherin Leonid P. , Albitskiy Valery Yu. , Shchepin Vladimir O.
Published: May 2022

Fundamental principles of the theory of generations and its Russian version, which have been widely distributed in the last three decades especially in psychological science have been analyzed. The author’s opinion on the real possibility of its implementation in the practice for protecting the health of younger generation of the country considering the degree of formation in family and in, educational organization of the child’s life values, behavior and his own health attitude, is presented. The application perspectiveness of the Theory in the medical and organizational, psychological, ethical, and deontological, legal plan on the model of social patronage in the family, medical and social work, especially in the pediatric primary care, acquaintance with the living conditions specialty, education, development and growing up, intrafamilial relations, “problems of fathers and children” are presented.
СЕМІОТИКО-КОМПОЗИЦІЙНІ АСПЕКТИ ФОРМУВАННЯ ТВОРІВ СТАНКОВОГО ЖИВОПИСУ КИТАЮ: ЗАГАЛЬНОТЕОРЕТИЧНИЙ АНАЛІЗ
Authors:   Kharkiv State Academy of Design and Arts, Sin Khuan
Published: May 2022

The scientific article is devoted to the complex analysis of semiotic-compositional aspects of formation of works of easel painting of China. It established that taking into account the holistic and fundamental changes that took place in the spiritual life of society in the late XX –early XXI century and due to the transformations taking place in the fine arts of China, it is obvious that profound changes have affected the methodology of philosophical knowledge and the foundations of artistic creativity. In art, the practice of artistic creativity and the accompanying philosophical reflection always go hand in hand, fully determining each other. In turn, attention to some specific aspects of the formation of the compositional construction of a work of art is not only able to promote practice, but can deepen the degree of penetration into all aspects of the topic under consideration. Emphasis is placed on the fact that extrapolating such a method to the study of the phenomena of compositional construction, we can afford to trace the relationship between individual artistic styles and their relationship to the goals and objectives of composition. This allows us to distinguish two aspects of the study: the attitude to the composition, its goals, objectives, methods and techniques in the context of the analyzed individual artistic styles; attitude to the composition, its goals, objectives, methods and techniques, as a communicative model of “open” type, in which the message changes as codes change, and the use of certain codes is dictated by ideology, features of historical development, translational movement of semiosis.
The Validity and Reliability Study of the Czech Version of the Motivated Strategies for Learning Questionnaire (MSLQ)
Authors:   Tomas Bata University in Zlín, Jakešová Jitka
Published: May 2022

This study reports on the validation of the Motivated Strategies for Learning Questionnaire (MSLQ), a self-report, Likert-scaled instrument, developed by Pintrich et al. (1991). The instrument consists of two sections, i.e., motivation in the process of self-regulated learning and the learning strategies of university students. The adaptation concerned only the first section, the learning strategies section was not part of the adaptation. The sample consisted of 284 students of the Faculty of Humanities at Tomas Bata University in Zlín (256 women and 28 men). The average age was 24, ranging from 19 to 49, with a standard deviation of 6.4 years. Within the adaptation of the MSLQ for the Czech educational environment, the exploratory and confirmatory factor analyses, Cattell’s scree test and parallel Monte Carlo analysis were performed. As a result, a 3-factor model was generated. The motivation scales tap into three broad areas: (1) expectancy (represented by academic self-efficacy; 4 items), (2) value (represented by task value; 6 items), and (3) affect (represented by test anxiety; 7 items). The internal consistency (Alphas) of the subscales varies from 0.76 to 0.84. Significant correlation between Academic self-efficacy and Task value subscales was.377. The results correspond to the theoretical model.