bluuebunny/crossref_metadata_2025 huggingface dataset:
USING GA FOR EVOLVING WEIGHTS IN NEURAL NETWORKS
Authors: HAMEED Wafaa Mustafa , KANBAR Asan Baker
Published: December 2022

This article aims at studying the behavior of different types of crossover operators in the performance of Genetic Algorithm. We have also studied the effects of the parameters and variables (crossover probability (pc), mutation probability (pm), population size (pop-size) and number of generation (NG)) for controlling the algorithm. This research accumulated most of the types of crossover operators these types are implemented on evolving weights of Neural Network problem. The article investigates the role of crossover in GAs with respect to this problem, by using a comparative study between the iteration results obtained from changing the parameters values (crossover probability, mutation rate, population size and number of generation). From the experimental results, the best parameters values for the Evolving Weights of XOR-NN problem are NG = 1000, pop-size = 50, pm = 0.001, pc = 0.5 and the best operator is Line Recombination crossover.
A DECLARATIVE APPROACH TO SHOP ORDERS OPTIMIZATION
Authors: WIKAREK Jarosław , SITEK Paweł , JAGODZIŃSKI Mieczysław
Published: December 2022

The paper presents the problem of material requirements planning with optimization of load distribution between work centers and workers’ groups. Moreover, it discusses the computational example for shop orders optimization. The data for this example were taken from the relational database. The method of Constraint Logic Programming (CLP) for shop orders optimization has been suggested. Using Constraint Logic Programming, the constraints may be directly introduced to the problem declaration, which is equivalent to the source code of the program. The ECLiPSe-CLP software system has been presented. It allows for solving optimization problems concerning dimensions greater than in the case of the professional mathematical programming solver “LINGO”. The application of ECLiPSe-CLP in accessing data from relational databases has been presented.
DEVELOPMENT OF INTEGRATED MANAGEMENT INFORMATION SYSTEMS IN THE CONTEXT OF INDUSTRY 4.0
Authors: CIEŚLA Bartosz , GUNIA Grzegorz
Published: December 2022

In this paper, development trends of information systems, information systems technology and enterprise information management were analyzed in the context of Industry 4.0 tools. In the first part (par. 1-2), fundamental definitions referred to the subject were presented as well as historic background of Integrated Management Information Systems. In the second part (par. 3), evolution and trends in ERP class systems, electronic economy tools and Product Lifecycle Management software were described. In the third part (par. 4-5), observed trends in information systems technology, in relation to Industry 4.0 tools, were discussed including manufacturing resources, production objects and novel management strategies approach. Many conclusions were related with actual manufacturing practices observed by the authors.​​
AN OVERVIEW OF DEEP LEARNING TECHNIQUES FOR SHORT-TERM ELECTRICITY LOAD FORECASTING
Authors: ADEWUYI Saheed , AINA Segun , LAWAL Aderonke , OLUWARANTI Adeniran , UZUNUIGBE Moses
Published: December 2022

This paper presents an overview of some Deep Learning (DL) techniques applicable to forecasting electricity consumptions, especially in the short-term horizon. The paper introduced key parts of four DL architectures including the RNN, LSTM, CNN and SAE, which are recently adopted in implementing Short-term (electricity) Load Forecasting problems. It further presented a model approach for solving such problems. The eventual implication of the study is to present an insightful direction about concepts of the DL methods for forecasting electricity loads in the short-term period, especially to a potential researcher in quest of solving similar problems.
MEASURING PROPENSITY OF ONLINE PURCHASE BY USING THE TAM MODEL: EVIDENCE FROM ITALIAN UNIVERSITY STUDENTS
Authors: CORDENTE-RODRIGUEZ Maria , SPLENDIANI Simone , SILVESTRELLI Patrizia
Published: December 2022

This study aims to investigate the dynamics of online purchasing behavior through the analysis of a sample of students from Italy. The objective is twofold: firstly, to outline a descriptive picture of the type of relationship with the web and the use of the TAM model to highlight the propensity to use electronic commerce by the analyzed sample. An interesting evidence is the prevalence of using the Internet for social activities rather than for purchases. In fact, the propensity to purchase online is still very limited and mainly concerns cultural and tourist services rather than physical products. Mobile devices are the main devices for connecting students to the Web and, consequently, the most used for purchasing online.
COMPUTER-AIDED MATERIAL DEMAND PLANNING USING ERP SYSTEMS AND BUSINESS INTELLIGENCE TECHNOLOGY
Authors: DANILCZUK Wojciech , GOLA Arkadiusz
Published: December 2022

Effective decision-making in industry conditions requires access and proper presentation of manufacturing data on the realised manufacturing process. Although the frequently applied ERP systems allow for recording economic events, their potential for decision support is limited. The article presents an original system for reporting manufacturing data based on Business Intelligence technology as a support for junior and middle management. As an example a possibility of utilising data from ERP systems to support decision-making in the field of purchases and logistics in  small and medium enterprises.
A ROBUST ENSEMBLE MODEL FOR SPOKEN LANGUAGE RECOGNITION
Authors: WOODS Nancy , BABATUNDE Gideon
Published: December 2022

Effective decision-making in industry conditions requires access and proper presentation of manufacturing data on the realised manufacturing process. Although the frequently applied ERP systems allow for recording economic events, their potential for decision support is limited. The article presents an original system for reporting manufacturing data based on Business Intelligence technology as a support for junior and middle management. As an example a possibility of utilising data from ERP systems to support decision-making in the field of purchases and logistics in  small and medium enterprises.
CLASSIFICATION OF EEG SIGNAL BY METHODS OF MACHINE LEARNING
Authors: ALYAMANI Amina , YASNIY Oleh
Published: December 2022

Electroencephalogram (EEG) signal of two healthy subjects that was available from literature, was studied using the methods of machine learning, namely, decision trees (DT), multilayer perceptron (MLP), K-nearest neighbours (kNN), and support vector machines (SVM). Since the data were imbalanced, the appropriate balancing was performed by Kmeans clustering algorithm. The original and balanced data were classified by means of the mentioned above 4 methods. It was found, that SVM showed the best result for the both datasets in terms of accuracy. MLP and kNN produce the comparable results which are almost the same. DT accuracies are the lowest for the given dataset, with 83.82% for the original data and 61.48% for the balanced data.
ORDER VIOLATION IN MULTITHREADED APPLICATIONS AND ITS DETECTION IN STATIC CODE ANALYSIS PROCESS
Authors: GIEBAS Damian , WOJSZCZYK Rafał
Published: December 2022

The subject presented in the paper concerns resource conflicts, which are the cause of order violation in multithreaded applications. The work focuses on developing conditions that can be implemented as a tool for allowing to detect these conflicts in the process of static code analysis. The research is based on known errors reported to developers of large applications such as Mozilla Firefox browser and MySQL relational database system. These errors could have been avoided by appropriate monitoring of the source code.
PLANT CLASSIFICATION BASED ON LEAF EDGES AND LEAF MORPHOLOGICAL VEINS USING WAVELET CONVOLUTIONAL NEURAL NETWORK
Authors: Dewi Wulan , Utomo Wiranto Herry
Published: December 2022

The leaf is one of the plant organs, contains chlorophyll, and functions as a catcher of energy from sunlight which is used for photosynthesis. Perfect leaves are composed of three parts, namely midrib, stalk, and leaf blade. The way to identify the type of plant is to look at the shape of the leaf edges. The shape, color, and texture of a plant's leaf margins may influence its leaf veins, which in this vein morphology carry information useful for plant classification when shape, color, and texture are not noticeable. Humans, on the other hand, may fail to recognize this feature because they prefer to see plants solely based on leaf form rather than leaf margins and veins. This research uses the Wavelet method to denoise existing images in the dataset and the Convolutional Neural Network classifies through images. The results obtained using the Wavelet Convolutional Neural Network method are equal to 97.13%.
GENETIC ALGORITHM-PID CONTROLLER FOR MODEL ORDER REDUCTION PANTOGRAPHCATENARY SYSTEM
Authors: Al-Awad Nasir A. , Abboud Izz K. , Al-Rawi Muaayed F.
Published: December 2022

Controlling the contact force between the pantograph and the catenary has come to be a requirement for improving the performances and affectivity of high-speed train systems Indeed, these performances can also significantly be decreased due to the fact of the catenary equal stiffness variation. In addition, the contact force can also additionally differ and ought to end up null, which may additionally purpose the loss of contact. Then, in this paper, we current an active manipulate of the minimize order model of pantograph-catenary system .The proposed manipulate approach implements an optimization technique, like particle swarm (PSO), the usage of a frequent approximation of the catenary equal stiffness. All the synthesis steps of the manipulate law are given and a formal evaluation of the closed loop stability indicates an asymptotic monitoring of a nominal steady contact force. Then, the usage of Genetic Algorithm with Proportional-Integral-derivative (G.A-PID) as proposed controller appeared optimum response where, the contacts force consequences to be virtually equal to its steady reference. Finally it seems the advantageous of suggestion approach in contrast with classical manipulate strategies like, Internal mode control(IMC) method, linear quadratic regulator (LQR).The outcomes via the use of MATLAB simulation, suggests (G.A-PID) offers better transient specifications in contrast with classical manipulate.
BREAST CANCER DIAGNOSIS USING WRAPPER-BASED FEATURE SELECTION AND ARTIFICIAL NEURAL NETWORK
Authors: NAVEED Nawazish , MADHLOOM Hayan T. , HUSAIN Mohd Shahid
Published: December 2022

Breast cancer is commonest type of cancers among women. Early diagnosis plays a significant role in reducing the fatality rate. The main objective of this study is to propose an efficient approach to classify breast cancer tumor into either benign or malignant based on digitized image of a fine needle aspirate (FNA) of a breast mass represented by the Wisconsin Breast Cancer Dataset. Two wrapper-based feature selection methods, namely, sequential forward selection(SFS) and sequential backward selection (SBS) are used to identify the most discriminant features which can contribute to improve the classification performance. The feed forward neural network (FFNN) is used as a classification algorithm. The learning algorithm hyper-parameters are optimized using the grid search process. After selecting the optimal classification model, the data is divided into training set and testing set and the performance was evaluated. The feature space is reduced from nine feature to seven and six features using SFS and SBS respectively. The highest classification accuracy recorded was 99.03% with FFNN using the seven SFS selected features. While accuracy recorded with the six SBS selected features was 98.54%. The obtained results indicate that the proposed approach is effective in terms of feature space reduction leading to better accuracy and efficient classification model.
ARTIFICIAL NEURAL NETWORK BASED DEMAND FORECASTING INTEGRATED WITH FEDERAL FUNDS RATE
Authors: ARACHCHIGE Anupa , SUGATHADASA Ranil , HERATH Oshadhi , THIBBOTUWAWA Amila
Published: December 2022

Adverse effects of inaccurate demand forecasts; stockouts, overstocks, customer loss have led academia and the business world towards accurate demand forecasting methods. Artificial Neural Network (ANN) is capable of highly accurate forecasts integrated with many variables. The use of Price and Promotion variables have increased the accuracy while the addition of other relevant variables would decrease the occurrences of errors. The use of the Federal Funds Rate as an additional macroeconomic variable to ANN forecasting models has been discussed in this research by the means of the accuracy measuring method: Average Relative Mean Absolute Error.
Improvement of cell characteristics using controlling the current path in 3D NAND flash
Authors: Park Hyojin , Lee Inyoung , Cho Il Hwan , Kang Daewoong
Published: December 2022

In vertical-NAND (V-NAND) flash memory, the effect of current path change according to the program state was analyzed. A new memory structure in which a heavily doped polysilicon layer is added around a typical V-NAND channel was proposed, and electrical characteristics were observed through simulations. As a result, it was confirmed that the electrical characteristics such as Vth and S.S of V-NAND can be changed and that the current path can be adjusted. Through an experiment to change the doping concentration of the added doping area, there was a sudden change in the current path at 5.0 × 1017 cm–3 and 5.2 × 1017 cm–3 during boron doping. The change of the current path was observed at this rapidly changing point, and the device characteristics could be dramatically improved if the current path was changed by adding an extra doping region. Additionally, the effects of program operating voltage conditions and doping type changes on V-NAND operation were analyzed.
Strategi Local Strongman dalam Pemilihan Kepala Desa Bumi Sari Kecamatan Natar Kabupaten Lampung Selatan tahun 2019
Authors:   Universitas Lampung, Lampung, Agung Erlangga Satria , Indrajat Himawan ,   Universitas Lampung, Lampung, Harjo Budi ,   Universitas Lampung, Lampung, Juantara Bendi ,   Universitas Lampung, Lampung
Published: December 2022

Abstract: Purpose: this study is to find out how the local strongman strategy in winning the candidate for the head of the village. Bumi Sari Village, Natar District, South Lampung Regency. Method: The researchers used the local strongman theory through an offensive and defensive strategy approach. Both of these strategies will be used to understand this phenomenon. The type of research used is qualitative research by conducting interviews with people involved in the election of the head of Bumi Sari Village. Result: The results of the election for the head of Bumisari Village in 2019 won Yosar Supriyono as the village head, Yosar Supriyono was re-elected as the head of the Bumisari village in 2019. Supri's victory could not be separated from the support of the local Strogman. The involvement of the local strongman in the village head election makes it interesting to see how the local strongman strategy in an effort to win Yosar in the village head election in Bumisari in 2019. Contribution: 1. Delegating a team of experts in the field of village politics to find out the vote map, 2.Forming groups of successful teams so that they can be closer and in direct contact at all levels.community activities. Keywords: 1. local strongman 2. offensive 3. defensive strategies
Enablers of Electric Vehicles Adoption in India: A Review
Authors:   Symbiosis Institute of Business Management, Pune & Symbiosis International (Deemed University), Pune (Maharashtra), India., Pandita Dr. Deepika , Bhatt Dr. Vimal ,   Symbiosis Institute of Business Management, Pune & Symbiosis International (Deemed University), Pune (Maharashtra), India., Kumar Dr. V V Ravi ,   Symbiosis Institute of Business Management, Pune & Symbiosis International (Deemed University), Pune (Maharashtra), India., Gotise Dr. Piyush ,   Symbiosis Institute of Business Management, Pune & Symbiosis International (Deemed University), Pune (Maharashtra), India.
Published: December 2022

India is moving towards electric vehicles. However, the road to the progress of EV adoption does not seem to be smooth and may need effort from the people and the government. With regard to the growth of Electric Vehicles in India, there is a need to find the factors that could hasten its progress. In this paper, we on the basis of the review of the relevant literature from the scientific database are suggesting a range of factors which requires the attention of policymakers and other stakeholders that could contribute to improving electric vehicle adoption in India. The factors are explained in detail along with its implication on electric vehicle adoption.
Impact of Early Versus Late Approach on the Management of Acute Cholangitis in an Ecuadorian Level-4 Health Center
Authors: Vergara Jonathan Coello- , Villarreal-Juris Andrea , Mora-Vera Rina , Vilatuña-Fustillos Paúl , Suquinagua-Mantilla Patricio , Reyes-Nieto Renata , Jaramillo-Merino Juan , Suquinagua-Alvarado Pamela , Buestán-Amaya Sonia , Jarro-Villavicencio Ivan , Loor-Espinoza María , Suárez-Guzmán Christian , Yépez-Chicaiza Katia , ArellanoHernández Norma , Villarreal-Juris Ramiro
Published: December 2022

Introduction: Acute cholangitis is a bile duct inflammation and infection resulting from complete or partial obstruction due to different etiologies, including gallstones, malignant occlusion, etc. Clinical presentation includes intermittent fever with chills, right upper quadrant pain, and jaundice. With advances in minimally invasive techniques such as endoscopic techniques, the prognosis has improved in the last 30 years with a current mortality of 2.7 to 10%. Objective: compare the impact of the early versus late approach in the management of acute cholangitis according to the TG in patients admitted to the General Surgery Department of Luis Vernaza Hospital during 2018 to 2020. Methodology: Observational, retrospective, comparative and analytical study. Data was obtained from electronic medical records, organized using Microsoft Excel ®, and analyzed using SPSS 25.0 ®. Chi-square or Fisher's test were applied to compare the clinical characteristics by type of approach or severity scale. Statistical significance was established for p- value <0.05. Results: Ninety-eight patients were included, female: 54.08%. Grade II (moderate) cholangitis was the most frequent (64.29%). The main approach for biliary drainage was endoscopic (ERCP) (57.14%). A late approach (> 48 hours since hospital admission) was seen in 69.4%. Mortality by type of approach presented significant differences (p = 0.029): 0% with early approach vs. 14.71% with the late approach. Discussion: Patients with acute cholangitis were mainly approached late for biliary decompression; a worrying fact since it demonstrates non- compliance of fundamental TG recommendations were early or urgent bile duct decompression is described as a mainstay in acute cholangitis. Conclusions: Hospital stay was directly proportional to the type of approach (early or late). Mortality was higher in patients who underwent a late approach, and directly proportional to the severity. An early approach should always be preferred.
Influence of Thickness On The Forming Limit Curve On Low Carbon Steel With Thickness of 0.7 mm and 0.8 mm
Authors: Wahyu Pratama Fikri , S Siradj Eddy , Octora Shahida Rhaman Okky Helja , Ihza Mahendra Kahfi
Published: December 2022

Carbon steel low have nature mechanical specifically nature capable good form. Capability form on steel influenced by various factor among them that is thickness. Influence different thickness give effect significant to nature capable form described steel through Forming Limit Curve (FLC) or curve limit formation. Forming Limit Curve (FLC) is an important parameter for knowing nature capable form a material. So, it's important for knowing influence thickness in steel to the resulting Forming Limit Curve (FLC). The material used in the test this that is steel carbon low with thickness of 0.7 and 0.8 mm which has been screen printed pattern shaped lattice circle 2 mm in diameter in section surface. The stretching test was carried out based on method Nakazima using a shaped punch half circle or hemispherical with condition testing use lubricant and without lubricant. Test results in the form of major and minor strain data is used for create a Forming Limit Curve (FLC) model for each thickness on each condition testing. Research results show if steel carbon low with 0.8 mm thick produces more Forming Limit Curve (FLC) positions tall compared 0.7mm thickness is good in condition testing with lubricant or without lubricant.
Analysis of Classification Algorithms in Drug Classification Using Weka Data Mining Tool
Authors: B. Deepthi  , K. V. Siva Prasad Reddy  , B. S. Jubedha
Published: December 2022

Classification algorithms have been found to produce better results in terms of performance and accuracy, when used with drug observation dataset. Three machine learning algorithms such as J48, Naive Bayes, and K-Nearest Neighbor are compared using Waikato Environment for Knowledge Analysis (WEKA) in this paper. In addition, these three well-known classification methods are evaluated based on different Quality of Service parameters to find the best fit classifier for the design of the model. The analysis procedure of dataset and the performance indicators are discussed. These results help to draw a conclusion about which of the three algorithms is the best for drug classification.
Efficacy and predictors of rapid response to omalizumab therapy in patients with seasonal allergic rhinitis: a cohort study
Authors: Fomina Daria S. , Mukhina Olga A. , Bobrikova Elena N. , Lebedkina Marina S. , Chernov Anton A. , Lysenko Mariana A.
Published: December 2022

BACKGROUND: The availability of anti-IgE therapy for allergic rhinitis has actualized the need to develop variants of this treatment according to predictors of rapid response and techniques of treatment initiation.
AIM: To study the efficacy and predictors of response to omalizumab in patients with seasonal allergic rhinitis.
MATERIALS AND METHODS: Patients with moderate or severe seasonal allergic rhinitis in which traditional treatment for at least 3 months was not effective in the previous pollen season or in the current season were included. The decision to prescribe omalizumab was made based on the visual analog scale (VAS) in the previous or current season. The dosage and frequency of administration (every 2 or 4 weeks) were determined according to the table of values provided in the instructions. The patients were observed for 2 months. At follow-up visits (1 and 2 months later), allergic rhinitis symptom control was assessed using VAS and total nasal symptoms score (TNSS). Therapy was considered effective when the VAS remained 30 or decreased 30 after 4 and 8 weeks from the start of therapy, depending on the initiation period.
RESULTS: The study enrolled 30 patients with allergic rhinitis history of 14 years, sensitization to 2 groups of allergens in 19 (63.3%) cases and bronchial asthma in 18 (60%). Omalizumab was initiated before the pollen season in 6 (20%) patients and during the season in 24 (80%) patients. After 4 weeks, allergic rhinitis manifestations were controlled in 23 (77%) patients, and by week 8, 100% of the patients with allergic rhinitis had fully responded to therapy. By 4 weeks of follow-up, the severity of allergic rhinitis symptoms on the VAS and TNSS scales decreased by 2.7 and 4.7 times, respectively. The proportion of patients with a slow response by week 4 of therapy was 23%. Body mass index (lower in the slow response group) and history of bronchial asthma (2.6 times longer in the slow responders) were associated with the achievement of this outcome. No adverse events were recorded.
CONCLUSIONS: In patients with seasonal allergic rhinitis, omalizumab allows the control of disease manifestations after 4 weeks of therapy with its maintenance in the follow-up. Predictors of rapid response have been revealed; however, their clinical significance requires further study.
PHYSIOTHERAPY OF PREMATURELY BORN CHILDREN TAKING INTO ACCOUNT THE DEGREE OF BIOLOGICAL IMMATURITY
Authors: Kałucka Anna Maria , Kałużyński Wojciech , Prokop Anna Maria , Kikowski Łukasz
Published: December 2022

The aim: 1. Clinical characteristics of premature babies taking into account the complications of the perinatal period. Determining the importance of physiotherapy and defining its place in the therapeutic process carried out in children born prematurely with varying degrees of biological immaturity. 2. Evaluation of the most commonly used physiotherapeutic methods in premature babies.
Material and methods: The study, using a self-authored survey, included parents of 42 premature babies who were between the ages of 1 and 14 months.
Results: As many as 53% of premature babies were born in late preterm (34-36 weeks of pregnancy). 48% of children had low birth weight (1501-2500 grams). The most common complications of the perinatal period among premature babies were respiratory disorders (47%). Physiotherapy of premature babies took place in 50% of the subjects (21 children) due to psychomotor retardation resulting from their biological immaturity. The most commonly used physiotherapeutic method among premature babies was the NDT-Bobath neurodevelopmental method. It was used in as many as 74% of premature babies.
Conclusions: Most premature babies are born in late preterm with low birth weight. Extremely early births are rare. The most common complications of the perinatal period among babies born prematurely are breathing disorders. Most premature babies require physiotherapy, and the main indication for it is psychomotor retardation, resulting from biological immaturity. The most commonly used physiotherapeutic method among premature babies is the NDT-Bobath neurodevelopmental method.
HORMONAL STATUS OF PATIENTS WITH A PREDICTED WEAK RESPONSE OF THE OVARIES TO GONADOTROPIN STIMULATION
Authors: Kaminsky Anatoliy V. , Chaika Oksana O.
Published: December 2022

The aim: To assess the hormonal status of patients with weak ovarian response to stimulation with various gonadotropins.
Materials and methods: The hormonal examination recommended before infertility treatment with the use of assisted reproductive techniques consisted of determining basal serum concentrations of FSH, LH, estradiol (E2), AMH, thyroid hormone, prolactin on day 3 to 5 of the spontaneous menstrual cycle. The study was carried out by radioimmune and enzyme immunoassay methods. The concentration of serum STH and growth factors, such as IGF-I and IGFBP-3, was measured on day 2 to 3 of the spontaneous menstrual cycle and on the day of transvaginal puncture of follicles (TPV).
Results: During hormonal examination, signs of restricted ovarian reserve associated with a basal FSH increase to 10-15 IU were detected in 61 patients (43.6%). Signs of ovarian reserve reduction associated with a decrease in AMH to values less than 1 ng/ml were found in 110 women (78.5%). The STH concentration in and serum on the day of TPO in the main group was significantly higher than that in the comparison group, while the IGF BP-3 concentration in the main group was significantly lower than that in the comparison group.
Conclusions: In patients in the main group, stimulation of superovulation with urinary gonadotropins leads to an increase in serum STH concentration, a decrease in IGFBP-activity on the day of TPO compared to day 2 to 3 of menstrual cycle, while in patients in the second group, the concentration of these indicators remains unchanged.
AMBULATORY BLOOD PRESSURE VARIABILITY IN YOUNG ADULTS WITH LONG-COVID SYNDROME
Authors: Ternushchak Tetyana M. , Tovt-Korshynska Marianna I. , Varvarynets Antonina V.
Published: December 2022

The aim: To perform an overall assessment of BP and BP variability using ambulatory measurements in young adults with long COVID syndrome.
Materials and methods: We enrolled young patients with diagnosed long-COVID syndrome (n = 58, mean age 23.07 ± 1.54 years), compared with an age-matched healthy subjects who had not suffered from COVID-19 (n = 57, mean age 22.9 ± 1.83 years). Patients with long-COVID syndrome had recovered from mild/moderate illness and none had required hospitalization. Ambulatory 24 hours blood pressure (AMBP) parameters (mean BP, daytime BP, nighttime BP, pulse pressure, nocturnal systolic BP dipping, dipper status) were measured in all participants. The variability of systolic BP (SBP) and diastolic BP (DBP) values was assessed by the following common metrics, including the average real variability (ARV), the coefficient of variation (CV), the standard deviation (SD), and the weighed SD of SBP and DBP.
Results: The average values of 24-hour ambulatory blood pressure, mean BP, daytime and nighttime systolic BP, diastolic BP and pulse pressure were found to be significantly different among patients with long COVID syndrome and control group. Group analyses showed that this difference was in SBP mean values (127.1 ± 6.65 mmHg and 115.93 ± 6.24 mmHg respectively) and DBP mean values (73.31 ± 5.30 mmHg and 68.79 ± 5.5 mmHg respectively) mainly at night. PP values at daytime were almost similar among groups, but PP values at nighttime were higher in patients with long-COVID syndrome (53.8 (52.44- 55.14) mmHg and 47.14 (46.45 – 47.88) mmHg respectively). Nocturnal SBP dipping was better in control group than in patients with long-COVID syndrome ( 5.3 ± 5.68 and 3.1 ± 3.79 mmHg respectively). Only 13 (22.4%) patients with long-COVID syndrome had normal dip-per status while more than half – 38 (66.7%) in healthy subjects. The values of ARV of SBP and DBP over 24-hour, awake, and asleep time frames were found to be greater in patients with long COVID syndrome than healthy controls (p < 0.05).
Conclusions: Patients with long- COVID syndrome have higher BP mean values of 24-hour ABPM particularly at nightime, significant blood pressure BP variability, which increases the risk of cardiovascular events in future. Nevertheless, the further prospective investigations is warranted to investigate the potential mechanisms and causality associations.
RARE COMPLICATION OF COVID -19 DISEASE TINU SYNDROME IN A 11-YEAR-OLD BOY, FEATURES AND MANAGMENT
Authors: Bilak Volodymyr M. , Ilko Andrij V. , Ignatko Yaroslav Y. , Ignatko Lyudmila V.
Published: December 2022

Tubulointerstitial nephritis and uveitis syndrome (TINU) is a rare disease defined by a combination of different abnormalities, tubulointerstitial nephritis and uveitis. We describe an 11-year-old boy who got sick with the Covid-19 disease with positive outcome and after 2 weeks developed a complication – tubulointerstitial nephritis with pain in the abdominal cavity, loss of appetite, weakness and low-grade fever with further subsequent attachment of anterior uveitis. Laboratory indicators corresponded to renal insufficiency of tubular origin. Ophthalmological examination conducted against the background of redness of both eyes, photophobia, pain in the eyeball area and decreased vision confirmed bilateral uveitis. Analysis showed high levels of La/SS-B, anti-SARS-CoV-2 IgG with confirmed the suspicion of post-covid TINU syndrome. This case showed a good response to steroid therapy with long-term remission of nephritis and less clinical efficacy in the treatment of uveitis. Special attention should be paid to the occurrence of such a rare syndrome at an early stage after recovery from the Covid-19 disease.
PREDIKSI JARAK LEMPARAN FLYROCK DENGAN METODE ANALISIS DIMENSI SERTA RICHARD DAN MOORE AKIBAT KEGIATAN PELEDAKAN PADA TAMBANG BIJIH EMAS
Authors: Al Zhahra Dea , Wiyono Bagus , Sudiyanto Anton
Published: December 2022

Peledakan merupakan salah satu metode yang digunakan untuk membongkar batuan. Kegiatan tersebut mengakibatkan timbulnya efek peledakan, salah satunya yaitu flyrock. Flyrock adalah fragmentasi batuan yang terlempar akibat hasil peledakan dan apabila terlempar melewati batas aman yang ditentukan maka dapat menimbulkan kerusakan bagi alat ataupun bangunan sekitar dan juga cedera bagi manusia. Oleh karena itu, diperlukan perhitungan dengan berorientasi pada parameter yang dapat dikontrol berupa geometri peledakan untuk memprediksi jarak lemparan flyrock. Penelitian dilakukan dengan mengukur jarak lemparan maksimum flyrock secara aktual di lapangan dan menghitung lemparan maksimum flyrock secara teoritis. Pengamatan dilakukan sebanyak 28 kali dan didapatkan jarak maksimum lemparan flyrock secara aktual adalah 35,24 m. Prediksi jarak maksimum lemparan flyrock dilakukan dengan metode Analisis Dimensi serta Richard dan Moore (faceburst dan cratering), dari metode tersebut didapatkan bahwa hasil metode Analisis Dimensi memiliki kesalahan relatif terkecil yaitu 6,0002% sedangkan penyimpangannya sebesar 2,1505 m. Sehingga metode Analisis Dimensi selanjutnya digunakan untuk menghitung prediksi jarak maksimum lemparan flyrock pada lokasi penelitian dengan persamaan  yang didapat yaitu Fd  = 0,9999(B11,4750S0,0004St-1,9149H5,8037D-0,3079(P/Q)4,6855).
KOMPARASI PENGAMBILAN DATA TOPOGRAFI STOCKPILE DI ROM MENGGUNAKAN WAHANA UNMANNED AERIAL VEHICLE DAN GPS RTK TIPE GEODETIC
Authors: Nugraha Ryan
Published: December 2022

Perkembangan teknologi di era globalisasi saat ini tidak bisa dipungkiri berkembang sangat pesat.Terutama di sektor energi (mineral, batu bara, minyak, dan gas bumi). Salah satu komparasi pengambilan data stockpile di ROM yang digunakan PT Arutmin Indonesia adalah menggunakan wahana unmanned aerial vehicle dan GPS RTK tipe Geodetic.  Pengambilan data topografi pada dasar prinsipnya adalah kegiatan menggambarkan dan memetakan bentuk/objek permukaan Bumi. Banyak metode dan wahana/peralatan yang digunakan dalam pengambilan data topografi, diantaranya: metode terestris (survey secara langsung) remote sensing (penginderaan jarak jauh), dan batimetri (survey di bawah air). Dalam makalah ini, akan mengkomparasikan dua metode pengambilan data topografi di ROM menggunakan wahana UAV tipe eBee fixed wing (metode remote sensing) dan GPS RTK tipe geodetik (metode terestris). Kegiatan ini dilakukan di salah satu area ROM (Run of Mine)/tempat penyimpanan batu bara sementara setelah ditambang dari Pit yang  bertujuan untuk menggambarkan topografi permukaan dan menghitung volume batu bara.Dalam penggunaannya, dua metode dan wahana ini berbeda. Metode remote sensing merupakan pengambilan data topografi menggunakan wahana tanpa kontak secara langsung dengan objek dan daerah yang akan diambil datanya. UAV tipe eBee fixed wing dioperasikan oleh operator (manusia). Sebelum UAV diterbangkan, dibuat perencanaan jalur terbang di area yang akan di survey terlebih dahulu (dalam hal ini area ROM). Selanjutnya UAV di instalasi sesuai dengan kebutuhan area yang akan di survey dan UAV dapat diterbangkan mengambil data topografi batu bara (stockpile). Metode terestris kebalikan dari metode remote sensing, merupakan pengambilan data topografi  menggunakan wahana yang kontak secara langsung dengan objek dan daerah yang akan diambil datanya. Metode ini melibatkan manusia secara langsung saat mengoperasikan wahana/peralatan GPS RTK tipe geodetik dalam pengambilan data topografi batu bara/stock pile. Kedua metode ini dapat menghitung dan menghasilkan volume stockpile/batu bara di ROM.
STRATEGIC PLAN PENAMBANGAN BATUBARA PADA BATUAN DENGAN TSS TINGGI DI PIT C1 BLOK 8 PT BERAU COAL
Authors: Aziz Saeful , Supriharta Ida Wayan , Dante Gregorius , Ardiansyah Pandu Zea , Nugroho Andi , Bhakti Aprian Krisna , Saputra Prasetya Heriyan
Published: December 2022

Pit C1 Blok 8 Site Binungan Mine Operation Area 2 PT Berau Coal merupakan salah satu area operasional penambangan batubara dengan karakteristik multi-seam, kemiringan lapisan batubara pada interval 12 – 20 derajat, ketebalan lapisan batubara pada interval 0.5 – 7.5 meter, dan variasi ketebalan interburden pada interval 3 – 300 meter. Karakteristik batuan di area Blok 8 terpolarisasi kedalam sifat asam dan nilai total suspended solid yang tinggi. Pit C1E merupakan bagian dari Pit C1 dengan karakteristik batuan dominan bersifat PAF dengan dikelilingi pit dan disposal yang dominan bersifat NAF dengan TSS tinggi. Sistem Dewatering di Pit C1 Bermuara di WMP 41. Selama keberjalanannya kemampuan WMP 41 terkoreksi dengan tingginya TSS pada aliran yang masuk, sehingga diperkirakan pada bulan April 2022 kapasitas WMP 41 akan penuh sehingga diperlukan tambungan sementara dalam rangka normalisasi fungsi. Pit C1E menjadi salah satu opsi untuk dijadikan tampungan sementara selama proses maintenance di WMP 41 berlangsung. Disaat yang sama, Pit C1E masih menyimpan reserve sebesar 250,000 Ton dengan SR 9. Maka dilakukan alignment strategi penambangan untuk dapat mengoptimalkan pengambilan reserve batubara di Pit C1E dengan tetap menjaga baku mutu air yang keluar dari WMP 41. Setelah dilakukan alignment strategi plan penambangan dengan setiap stakeholder terkait, diputuskan Pit C1E terus diupayakan untuk dilakukan penambangan sementara aliran dialihkan menuju area In Pit Dump CM dengan konsekuensi membentuk Embankment sepanjang 600 meter dengan tinggi timbunan 16 meter, sebelum akhirnya daya dukung IPD CM dan WMP 41 mencapai batasnya dan aliran dimasukan ke Pit C1E. Dengan melakukan analisa geoteknik, hidrologi, perencanaan tambang, operasional, safety dan support tekonologi, scenario ini dapat dieksekusi dengan aman dan selamat dengan tetap menjaga baku mutu air serta memperoleh beberapa benefit diantaranya, dapat mengoptimalkan reserve batubara sebesar 90.000 Ton di Pit C1E, menurunkan biaya operasional dengan rekayasa free maintenance WMP 41 sehingga tidak memerlukan rehandling mud sebesar 3,2 million dollar / tahun dan biaya penawasan sebesar 700.000 dollar/tahun. Serta memperoleh keuntungan short distance disposal menuju IPD C1E untuk membuat embankment dengan menurunkan jarak dari 3,72 km menjadi 1,08 km sebanyak 2,6 mio BCM dan dapat menurunkan biaya operational sebesar 2,5 million dollar.
Utilization of Carbon Monoxide as a Fuel: Economic Analysis and Reactor Design for Carbon Monoxide Oxidation Coupled with Heat Recuperation
Authors: Deep M. Patel
Published: December 2022

Carbon Monoxide is one of the unrequired and environmentally harmful by-products of various industries. A detailed design of process equipment for utilizing Carbon Monoxide as a fuel in industrial premises via Novel Zero Carbon Emission Process (NERS) is provided. A preliminary economic analysis of the designed system is also provided to enhance its practical viability. Based on economic evaluation, it is calculated that one can quickly achieve a temperature of around 523.15 K (250 °C) for water flowing at about 6 kg/s through the heat recuperation system installed in the process equipment. Hence a significant amount of energy that is otherwise wasted in the form of carbon emissions can be economically recovered (having an approximate payback period of around 1.5 years, based on economic analysis and reactor design as per bench-scale data available in the literature).
Information Communication Technology Devices for Agricultural Information Dissemination among Smallholder Farmers in Uganda (Rubanda, Mayuge Districts, and Mbarara City)
Authors: Byamukama Willbroad , Businge Phelix Mbabazi , Kalibwani Rebecca
Published: December 2022

Agriculture continues to be the main source of livelihood in developing countries and smallholder farming is the most common type of agriculture practice supporting more than 70% of the population. On the other hand, information and communication technology (ICT) is quickly growing as its helping to connect easier and faster; thus, a dire need to harness it in promoting the agricultural sector. This study investigated the Information Communication Technology Devices for Agricultural Information Dissemination among Smallholder Farmers in Uganda (Rubanda, Mayuge Districts, And Mbarara City). The study adopted a cross-sectional research design that comprised a mixed methods approach of quantitative and qualitative. The instrument for this study consisted of structured questionnaires and interviews. More so, available reports and records were explored. The questionnaire was subjected to face and content validity and reliability test. Data collected were analysed using descriptive statistics of frequency counts and percentages. Findings show that the leading types of ICT devices for agricultural information dissemination in Rubanda District, Mayuge District, and Mbarara City were mobile phones and radios. The study recommends that the most important information to farmers should always be disseminated via phone conversation, texting, and radio for broadcast agricultural-related programs in respective local languages
THE POETICS OF POLYSENSORY COMPOSITIONS IN THE LYRICS OF A.FET AND HIS CONTEMPORARIES
Authors:   Herzen University, Lyapina L.E. 
Published: December 2022

The article is devoted to the study of polysensory compositions in the lyrics of the 19th century, highlighting the features and role of Fet as the lyricist in this regard. The poetics of his works demonstrates a systematic interest in a variety of sensory modes, the intertextual correlation of which generates a special structure of the plot. Inheriting the conceptions of M. Lermontov, F. Touché and others, Fet gives impetus to the development of polysensory in the future, including Ya. Polonsky and A. Maikov among the poets of his generation, each developing their own aesthetic dominant of polysensory plots corresponding to the nature imaginative system of each.
RECEPTION OF IMAGES OF SPANISH PAINTINGS IN RUSSIAN POETRY OF THE SOVIET AND POST-SOVIET ERA (1950s – 2000s)
Authors:   Siberian State University of Geosystems and Technologies, Zhdanov S.S.  , Gauzer I.V. 
Published: December 2022

The paper deals with reception of images of Spanish paintings in Russian poetry of the 1950-s – 2000-s. The study materials are texts by B.A. Akhmadulina, I.A. Brodsky, Z.M. Val’shonok, A.A. Voznesensky, A.I. Gitovich, E.A. Dolmatovsky, I.V. Elagin, N.P. Konchalovskaya, A.S. Kushner, S.S. Orlov, M.B. Tarasova, S.N. Tolstoy, V.S. Shefner. The images of Spanish paintings are analyzed in terms of semiotic and myth criticism methods. The connection of these images to the Spanish myth of the Russian culture is stated. The images of Spanish pictorial personosphere (Velazquez, El Greco, Goya, Picasso, Dali) are characterized as cultural heroes of the myth.
“WITHERS, DISAPPEARS” BY V. M. SHUKSHIN AND “CONVERSATION” BY I. P. POPOV: INTERMEDIALITY AND INTERTEXTUALITY
Authors:   Altai State Institute of Culture, Moskovkina E. A.
Published: December 2022

The article presents an attempt to study the phenomenon of “parallel” creativity, mutual influence and mutual citation of the writer and the artist on the example of the works of V.M. Shukshin and I. P. Popov. The artistic features of the story “Withers, disappears” (1966) are considered in the context of an intra-genre modification (story-skit), taking into account the intertextual and ekphrastic impact of Popov’s painting “Conversation” (1967). Common and overlapping autobiographical, compositional, plot, and pictorial components of the works are revealed. The tendencies of the intermedial dialogue of various aesthetic manifestations within the framework of the general problem, built on the principles of syncretic types of art – theater, cinema, are determined.
educación intercultural como estrategia de innovación docente en educación infantil
Authors: Aparicio Gervás Jesús Mª , León Guerrero Mª Montserrat
Published: December 2022

La Agenda 2030 para el Desarrollo Sostenible promueve una sociedad inclusiva. Por eso debemos iniciar este proceso de convivencia intercultural desde la etapa de Educación Infantil. A través del eje central del cuento infantil y utilizando la música como recurso didáctico motivador, sustentaremos la acción docente en tres ejes de categorías: comunicación, imagen y sonido. Metodológicamente, se propone desde una perspectiva cualitativa y cuantitativa, a través del método etnográfico. El contexto se circunscribe a un centro educativo con un alumnado vulnerable. Los resultados han permitido superar prejuicios y estereotipos y construir espacios de inclusión escolar.
CL-oriented approaches to teaching phrasal verbs. A report on EFL classroom-based research
Authors: Martín-Gilete Marta
Published: December 2022

This article presents some ongoing work that is part of a project on classroom-based research into CL-oriented activities for teaching/learning phrasal verbs in English. Framed in a three-month longitudinal study, this investigation reports on the design, implementation, and assessment of CL-oriented activities aiming at fostering awareness of the meaning of the particles IN/OUT and UP/DOWN with intermediate-level Spanish speakers of English (N=81). Results were described concerning two different methods used to measure students’ learning gains: feedback from the classroom and formal assessment. Findings are discussed regarding the mismatch between results reported from the classroom and quantitative results.
fotografía y el cortometraje social como instrumentos de investigación: experiencias didácticas
Authors: Rodríguez-Puertas Rubén
Published: December 2022

Actualmente vivimos en una sociedad intensamente visual, sin embargo, desde las Ciencias Sociales se desprecia la imagen como herramienta didáctica y de investigación, quedando la misma relegada al mundo de las artes. Con esta cuestión de fondo, se quiere mostrar la experiencia del estudiantado de las asignaturas: Sociedad, Familia y Educación, y, Sociología de la Educación (de la Universidad de Almería), tras la utilización de la fotografía y el cortometraje social como instrumentos didácticos complementarios a la investigación. Así, se mostraran las experiencias formativas de estos alumnos tras la utilización de estos recursos en sus proyectos.
FORMATION OF ELEMENTS OF RESEARCH ACTIVITY USING THE METHOD OF CONSOLIDATION OF DIDACTIC UNITS DURING A PHYSICAL WORKSHOP
Authors: Сюсюка Елена Николаевна
Published: December 2022

В статье рассматривается методика формирования элементов исследовательской деятельности при проведении лабораторных работ по физике с применением технологии укрупнения дидактических единиц.

The article discusses the method of forming elements of research activity during laboratory work in physics with the use of technology for the enlargement of didactic units.
La Mediación en la Función Notarial
Authors:   Universidad La Salle Pachuca, Juárez Ortiz Ana Lilia
Published: December 2022

En la actualidad la sociedad y su interacción avanza a pasos agigantados. En consecuencia, las relacio­ nes jurídicas van evolucionando, los conflictos que se generan de las mismas crecen, pudiendo saturar los sistemas judiciales. Dar publicidad constante, en todas y cada una de las áreas del derecho, a los medios alternos de solución de conflictos puede aumentar la conciencia entre los ciudadanos con la finalidad de encontrar las mejores soluciones a los disensos.
Update on Global Helioseismic Observations of the Solar Torsional Oscillation
Authors: Howe Rachel , Chaplin W. J. , Christensen-Dalsgaard J. , Elsworth Y. P. , Schou J.
Published: December 2022

We present an up-to-date latitude–time map of the solar zonal flows at 0.99 R
⊙ from global helioseismology using data from the Global Oscillation Network Group, the Michelson Doppler Imager, and the Helioseismic and Magnetic Imager.