bluuebunny/crossref_metadata_2025 huggingface dataset:
Predicting Dengue Outbreak based on Meteorological Data Using Artificial Neural Network and Decision Tree Models
Authors: Muhamad Krishnan Nor Farisha , Zukarnain Zuriani Ahmad , Ahmad Azlin , Jamaludin Marhainis
Published: October 2022

Dengue fever is well-known as a potentially fatal disease, and the number of cases in some areas remains uncontrolled. Despite efforts to prevent the dengue outbreak from spreading further, vectors may be to blame. Identifying what weather characteristics contribute to dengue outbreaks is important to predict the dengue outbreak. This study proposes Artificial Neural Network (ANN) and Decision Tree (DT) models based on maximum temperature, minimum temperature, total rainfall, and average humidity to predict the dengue outbreak in Kota Bharu. Different numbers of hidden nodes were used in ANN to optimize the model. Both models, ANN and DT are evaluated based on accuracy, sensitivity and specificity showing that ANN (Accuracy = 68.85%, Sensitivity = 99.71%, Specificity = 1.27%), performed better than DT (Accuracy = 67.46%, Sensitivity = 98.82%, Specificity = 2.53%). This means that ANN outperforms DT when predicting a dengue outbreak in Kota Bharu. Based on the ANN model, it can be concluded that the number of hidden nodes affects the model's accuracy. Selecting the ideal number of hidden nodes for modeling the ANN model is appropriate. Even though ANN accuracy for prediction models is greater than DT, it is still low. It can be inferred that selecting a prediction model appropriate for a variety of dataset types and levels of complexity is important. Based on these models, the government may take pre-emptive actions to enhance public awareness about climate change.
Academic Document Authentication using Elliptic Curve Digital Signature Algorithm and QR Code
Authors: Wellem Theophilus , Nataliani Yessica , Iriani Ade
Published: October 2022

Paper-based documents or printed documents such as recommendation letters, academic transcripts, and diplomas are prone to forgery. Several methods have been used to protect them, such as watermarking, security holograms, or using paper with specific security features. This paper presents a document authentication system that utilizes QR code and ECDSA as the digital signature algorithm to protect this kind of document from counterfeiting. A digital signature is a well-known technique in modern cryptography used for providing data integrity and authentication. The idea proposed herein is to put a QR code in the printed documents where the QR code includes a digital signature. The signature can later be authenticated using the proposed system by uploading the document for authentication or scanning the document's QR code. The proposed system is particularly developed for digital signature generation and verification of students' final project approval documents as the case study. In traditional settings, the approval form is typically signed directly by the student's advisor dan co-advisor using handwritten signatures. However, using the conventional handwritten signature, the signature on the approval form can be falsified. Therefore, a digital signature generation and verification system is implemented herein to avoid handwritten signature falsification. The advisors can use this system to sign the approval form using a digital signature instead of a handwritten one. The signature is stored in a QR code and is generated using ECDSA with SHA-256 as the hash function. The proposed system is evaluated using documents (i.e., approval forms) with genuine and forged QR codes.Â  The evaluation results showed that the system could verify the authenticity of the approval forms, which contain genuine QR codes. The approval forms that contained forged QR codes were correctly identified.
A Real-Time Application for Road Conditions Detection based on the Internet of Things
Authors: Sitanayah Lanny , Angdresey Apriandy , Kristalino Evander
Published: October 2022

Bad road conditions may lead to road accidents, especially when drivers are unaware of potholes. The presence of potholes can increase from time to time and may get worse due to road age and bad weather. With the Internet of Things technology, vehicles on the road can be a means of collecting road condition data, such as vibration. The raw vibration data are useful only after they are processed into meaningful information. Information about the condition of roads can help other road users be aware of potholes. This paper proposes an Internet of Things application for road conditions detection. We design and implement a device comprising one NodeMCU ESP8266, one accelerometer gyroscope sensor to detect the existence of potholes based on the amount of detected vibration, and a GPS module to get the information about potholes' locations. For the web service, we use REST API so that users can get real-time potholes' information in the Android application. To cluster potholes based on detected vibration, i.e., deep, medium, and shallow, we implement the k-means clustering algorithm with k = 3. The Android application utilizes a Google map to visualize potholes' locations and the result of clustering on a road map. We use colored pins to indicate the depth of potholes. Deep potholes are shown on the map using red pins, medium potholes using orange pins, and shallow potholes using green pins.
Intra-frame Based Video Compression Using Deep Convolutional Neural Network (DCNN)
Authors: Putra Arief Bramanto Wicaksono , Gaffar Achmad Fanany Onnilita , Sumadi Muhammad Taufiq , Setiawati Lisa
Published: October 2022

In principle, a video codec is built by implementing various algorithms and their development. The next generation of codecs involves more artificial intelligence applications and their development. DCNN (Deep Convolutional Neural Network) is a multi-layer NN concept with a deep learning approach in the field of artificial intelligence development. This study has proposed a DCNN with three hidden layers for intra-frame-based video compression. DCT and fractal methods were used to compare the performance of the proposed method.Â  The training image (obtained from the average of all down-sampled frames) is divided into several square blocks using the square block shift operation until all parts of the image are fulfilled. All pixels in each block act as input data patterns. After the training process, the trained proposed DCNN was then used to construct the feature and sub-feature image obtained through the max function operation in the feature bank and sub-feature bank. These feature and sub-feature images were then a spatial redundancy minimizer with specific manipulation techniques and simultaneously a quantizer without converting the frame's pixels to a bit-stream. The result of this process is a compressed image. Experiments on the entire dataset resulted in AAPR (Average Approximate Performance Ratio) of 147.71%, or an average of 1.5 times better than other methods. For further studies, the performance improvement of the proposed DCNN is performed by modifying its structure so that the output is direct in the form of feature and sub-feature images. Another way is to combine it with the DCT or fractal method to improve the performance of the result.
Development of Automatic Real Time Inventory Monitoring System using RFID Technology in Warehouse
Authors: Erlangga Setyawan Bayu , Yunita Ajeng , Satriana Sekarjatiningrum Rasmaydiwa
Published: October 2022

RFID technology is one of the technologies in logistics as an important application in logistics operations and supply chain management. The application of RFID technology can be applied to the inventory control monitoring system in real-time. The inventory monitoring information system can replace the manual system with a computerized system so that the processing of monitoring data is more efficient, effective, and can be controlled directly and accurately. This study presents a case study of a real stock monitoring system based on RFID technology. The design of a real-time stock monitoring system is transitioning from manual to technology by involving computerization in its implementation. This study aims to design an RFID-based real-time stock monitoring system and integrate warehousing systems in the company. The real-time inventory stock monitoring system is still developing, so a simulation is carried out to compare the existing data with the data from the RFID system. We used the existing warehouse layout to try the efficiency of the RFID stock monitoring. Based on the research results, the RFID system increases the efficiency and effectiveness of inventory control. In further research, it is necessary to integrate the inventory optimization model with real-time inventory control with RFID. The integration of real-time monitoring technology can be used as input to the inventory optimization model to be more accurate in providing purchasing policies.
Enhance Document Contextual Using Attention-LSTM to Eliminate Sparse Data Matrix for E-Commerce Recommender System
Authors: Hanafi - , Widowati Anik Sri , Jaeni - , Rusdi Jack Febrian
Published: October 2022

E-commerce has been the most important service in the last two decades. E-commerce services influence the growth of the economic impact worldwide. A recommender system is an essential mechanism for calculating product information for e-commerce users. The successfulness of recommender system adoption influences the target revenue of an e-commerce company. Collaborative filtering (CF) is the most popular algorithm for creating a recommender system. CF applied a matrix factorization mechanism to calculate the relationship between user and product using rating variable as intersection value between user and product. However, the number of ratings is very sparse, where the number of ratings is less than 4%. Product Document is the product side information representation. The document aims to advance the effectiveness of matrix factorization performance. This research considers to the enhancement of document context using LSTM with an attention mechanism to capture a contextual understanding of product review and incorporate matrix factorization based on probabilistic matrix factorization (PMF) to produce rating prediction. This study employs a real dataset using MovieLens dataset ML.1M and Amazon information video (AIV) to observe our ATT-PMF model. Movielens dataset represents of number sparse rating that only contains below 4% (ML.1M). Our experiment report shows that ATT-PMF outperforms more than 2% on average than previous work. Moreover, our model is also suitable to implement on huge datasets. For further research, enhancement of product document context will be a good factor in eliminating sparse data problems in big data problems.
Smart Campus Governance Design for XYZ Polytechnic Based on COBIT 2019
Authors: Nugraha Ryan Adhitya , Syaidah Ratih
Published: October 2022

Technological developments drive growth in the industrial revolution and digital transformation era. Technological developments during the industrial revolution 4.0 affect characteristics, especially in work. In responding to the change in technological developments in employment, the Ministry of Public Works has the task of conducting public works affairs in the government environment in an orderly manner to support the president in administering state government. XYZ Polytechnic is a state university as a new pilot under the Ministry of Public Works, Republic of Indonesia. As a basis for future development as well as towards a smart campus and then getting policy directions for the development of smart campus governance at the XYZ Polytechnic, it is necessary to design IT governance, especially in the reconstruction of adaptive and responsive policies and the development of structured governance with structured information systems. This study uses COBIT 2019 as the framework for governance design. With the method from the field preparation stage, interviews then assessed and evaluated existing policies and conditions of field activities to create governance designs according to COBIT 2019. The research results contained a technology governance management design with 17 processes. Based on the capability assessment and gap analysis results, recommendations were made for XYZ Polytechnic, as discussed in the results section. The suggestions are in the form of recommendations related to people, processes, and the use of technology. The recommendations act as evaluation material to improve organizational performance by providing good smart campus governance to students and internal members of XYZ Polytechnic.
Student Engagement Mechanism of Online Learning: The Effect of Service Quality on Learning Management System
Authors: Prabowo Hartiwi , Yuniarty Yuniarty , Bramulya Ikhsan Ridho
Published: October 2022

Since typical classrooms do not include discussions, collaborative learning, or interactive learning activities, engagement is a major challenge in distant learning. Online learning satisfaction levels should be measured as evaluation material for future implementation. Although online learning has many advantages, a high dropout rate remains a significant challenge. This study investigates how higher education students' engagement and satisfaction with online learning are enhanced by information, system, and service aspects. The research design was quantitative research, and we used a questionnaire to collect data. The questionnaire was designed on a five-rating interval scale. The sampling technique was simple random sampling. The target minimum sample was counted using the Slovin method, and 206 undergraduate students taking online courses were surveyed online. The model was tested using structural equation modeling partial least squares (SEM PLS). This method is useful for investigating the relationship between constructs. The model was tested with the application of the SmartPLS program. The results revealed a positive and significant effect of system quality, information quality, service quality to student engagements, and their impact on student satisfaction, both direct and indirect. This study answers the literature gap and verifies the importance of online learning quality factors on studentsâ€™ satisfaction and engagement. These results are expected to help to improve online learning in higher education settings, specifically on students' engagement and satisfaction, leading to perseverance and success.
An Investigation into Indonesian Students' Opinions on Educational Reforms through the Use of Machine Learning and Sentiment Analysis
Authors: Sarmini - , Alhabeeb Abdullah , Abusharhah Majed Mohammed , Hariguna Taqwa , Hananto Andhika Rafi
Published: October 2022

An anti-Covid-19 plan with social restrictions forced all Indonesian educational institutions to implement online learning in 2020. Strategy in early 2022, a new policy brought back online learning methods. Because of the rapid change and short adaptation period, online learning, which had been accepted as a solution for approximately two years, has become controversial. There were a variety of reactions in society, particularly on social media, after the rapid shift from face-to-face learning to online learning. This study will quantify text sentiment expressed on social media through machine learning. This study used SVM, RF, DT, LR, and k-nearest neighbors to develop a sentiment analysis model for use in sentiment research (KNN). The SVM- and RF-based sentiment analysis models outperform the others in cross-validation tests using data from the same Twitter social media site. Furthermore, RF can classify public opinion into three groups: positive, negative, and neutral, with a low error rate. The f1 values of our KNN-based model were measured at 75%, 65%, and 87% for negative, neutral, and positive tweets, respectively, which are slightly more accurate than previous studies with the same method and purpose.
Social Media Content and Data Analysis of Audience Engagement in the Tour and Travel Industry
Authors: Kurniawan Yohannes , Harry - , Oktavianus Kelvin , Anwar Norizan , Cabezas Diego
Published: October 2022

Social media has become the most popular area where the primary users are the youth generation. Social media marketing has become the best promotion for many companies regardless of the private or public sector, medium or large companies, including Tour and Travel companies. The companies must survive this pandemic by using social media technology to promote their services by creating promotional content that can attract customers' attention on social media, which may help to increase company revenue. This study analyzes the engagement and interaction of promotion content in the context of marketing on social media, such as Instagram, during the Covid-19 pandemic. This research underlines the customer perception about tour and travel content on Instagram for the companies and content characteristics to know the best strategy for doing promotional activities on Instagram through the questionnaire as supporting material. This quantitative research method uses data analytics tools and content analysis methods. This study also obtained data from the official website, journals, books, and articles. This research also utilizes surveys as supporting material focusing on the Instagram data analysis using content analysis. The future research is presumed to describe a similar research strategy but investigates other social media platforms. In addition, this research dictated several factors that can affect the level of engagement on Instagram. Hopefully, future research will examine additional factors that can influence a company's marketing to achieve its marketing objectives and implementation over a more extended time.
Transformasional Leaderships Sebagai Gaya Kepemimpinan Strategis Masa Depan pada Satuan Polisi Sektor
Authors: Pujianto Wahyu Eko
Published: October 2022

The purpose of this study is to analyze aspects of strategic leadership through transformational leadership in order to prepare future leadership. This study uses a qualitative approach with a qualitative descriptive type of research. Data collection techniques in this study using observation, documentation and interviews. Miles and Huberman argue that steps that can be taken to analyze data descriptively include data collection, reduction, and data presentation. The results of this study explain that transformational leadership is participatory leadership when leaders and followers work together to achieve a shared vision and mission. With the implementation of transformational leadership, it is hoped that the responsibilities of the Sector Police Chief will increase at the Gedangan Police Chief, Sedati Police Chief, Buduran Police Chief and Porong Police Chief. Furthermore, the Police Chief is expected to be able to provide motivation and be an inspiration for his members to work as a team to achieve the same goal. Not only being an officer who maintains security and order in the unitary area, but also being a friend to the local community. Finally, the research findings explain that the police chief must always be creative and innovate because the key to successful leadership is not being rigid in his choice of style, but moving between different styles according to the demands of the situation. It is the flexibility and adaptability that will differentiate one leader from another
Professor Susanne Rath, a researcher who has bravely faced challenges since childhood, kindly granted BrJAC an interview
Authors: Rath Susanne
Published: October 2022

Susanne Rath is an associate professor in the Institute of Chemistry at the University of Campinas (Unicamp), where she coordinates the “Laboratório de Bioanalítica Paracelsus”. She graduated with a Bachelor's degree in Chemistry (1983) from the University of Brasília (UnB), a Master’s degree in Chemistry (1986) from Unicamp, and a Ph.D in Pharmaceutical Chemistry (1990) from the Johann Wolfgang Goethe Universität Frankfurt am Main, Germany. So far, she has published 110 articles and seven book chapters, had four patents granted, and she has presented over 230 papers at scientific conferences. She supervised 17 master's students, 20 doctorate students and 10 post-docs. In addition, she coordinated 23 research projects supported by Brazilian funding agencies. Prof. Dr. Rath’s primary research is focused on toxic compounds in food, residue depletion studies of veterinary drugs in food-producing animals, development and validation of analytical methods, application of bidimensional chromatography and mass spectrometry, environmental impact assessment of veterinary drugs, antimicrobial resistance and N-nitrosamines in food, cosmetics and drugs. Since 2007, Prof. Rath has been a member of the Joint Expert Committee on Food Additives (JECFA) of the Food and Agriculture Organization of the United Nations (FAO) and the World Health Organization (WHO). Since 2011, Prof. Rath has been a member of the Technical Group on Maximum Residue Limits for Veterinary Drugs in Food of the National Health Surveillance Agency (Anvisa) of the Ministry of Health of Brazil.
Translation and Interpreting-Oriented Language Learning and Teaching (TILLT): Where Do We Stand?
Authors: Schmidhofer Astrid
Published: October 2022

Language training in translation and interpreting programmes has invariably been, and continues to be, on the fringes of Translation Studies. In this article, I provide an overview of the research output classified by topic and type of publication. Moreover, I offer an analysis of those areas that have received most attention in the existing literature, namely goals and methodology, and show the points on which there is most agreement. Finally, I briefly refer to emerging research questions in this area, as well as to avenues for further research, and argue why TILLT (Translation and Interpreting-Oriented Language Learning and Teaching) should move towards adopting an interdisciplinary approach.
Control of the Purity of 93% Oxygen Obtained from the Air by Pressure Swing Adsorption
Authors: Enikeeva R. A. , Miroshnichenko Yu. V. , Bagirova V. L. , Popova O. A.
Published: October 2022

The assessment of the quality of 93% oxygen obtained from the air by pressure swing adsorption (PSA) presents an important challenge for applied research. Such an assessment provides a possibility to guarantee the safety of oxygen therapy using both stationary and portable PSA-based oxygen concentrators. In this article, the experts of the Scientific Centre for Expert Evaluation of Medicinal Products and S.M. Kirov Military Medical Academy offer their recommendations for the implementation of monograph 2.2.0037.22 Oxygen (93 per cent) in civil healthcare organisations or military medical units. The publication of this monograph, which was approved by order No. 126 issued by the Ministry of Health of the Russian Federation on 01.03.2022, became the endpoint of the experts’ cooperation aimed at the inclusion of 93% oxygen into the Russian State Register of Medicinal Products.
Comparative Dissolution Kinetics of Several Multisource Thioctic Acid Products
Authors: Vasilenko G. F. , Krasnykh L. M. , Zhuravleva M. V. , Prokofiev A. B. , Gorodetskaya G. I. , Smirnov V. V. , Bunyatyan N. D.
Published: October 2022

The relationship between dissolution and bioavailability is an example of the interdependency between the quality of a medicinal product and its safety and efficacy. The uniqueness of thioctic acid is that it can exist in an oxidised and a reduced form, showing lipophilic (lipoic acid) and hydrophilic (dihydrolipoic acid) properties. Bioavailability studies of thioctic acid are necessary to evaluate the expected therapeutic effect and mitigate side effects of the medicinal product.

The aim of the study was to carry out equivalence dissolution testing to compare the release of thioctic acid from medicinal products produced by several manufacturers.

Materials and methods: the study used a reference medicinal product and three multisource medicinal products by different manufacturers; more specifically, film-coated tablets containing 600 mg of thioctic acid. The experiment was carried out in dissolution media at pH of 6.8±0.05 and 1.2±0.05. Statistical analysis was performed by calculating the average amounts of the substance dissolved, the standard deviation (SD), and the relative standard deviation (RSD, %) using Microsoft Office Excel 2007.

Results: The authors chose the testing conditions (dissolution media pH values of 6.8±0.05 and 1.2±0.05) taking into account the nature and characteristics of thioctic acid. The comparison of thioctic acid release profiles based on the calculation of the similarity factor (f2) showed that the dissolution profiles of multisource medicinal products 2 and 3 at pH 6.8 were equivalent to that of the reference medicinal product (more than 85% of the active pharmaceutical ingredient released within 15 minutes) and the dissolution profile of multisource medicinal product 1 was not equivalent to it (with f2 of 28).

Conclusions: the established differences in the rate and degree of active ingredient release from the studied medicinal products may indicate possible differences in their pharmacological effectiveness in vivo.
Juvenile resistance of barleys from the East Asian center of crop origin and domestication to powdery mildew
Authors: Abdullaev R. A. , Anisimova I. N. , Kovaleva O. N. , Radchenko E. E.
Published: October 2022

Background. A significant reduction in the yield of barley may be provoked by powdery mildew (causative agent: Blumeria graminis (DC.) Golovin ex Speer f. sp. hordei Marchal). A vast majority of cultivars approved for use in Russia are susceptible to the pathogen. Including genotypes protected by previously unused resistance genes into breeding practice is necessary to ensure the national food security. Barley landraces could become a fairly rich source of replenishment for the bank of effective pathogen resistance genes.

Materials and methods. The study covered 950 barley accessions from the East Asian center of crop origin and domestication: 449 accessions from Japan, 313 from China, 173 from Mongolia, and 15 from Nepal. The experiments were carried out on young plants in a climatic chamber under artificial infection conditions. The northwestern (Pushkin, St. Petersburg) population of B. graminis served as an inoculum. Plant resistance was assessed using a scoring scale. The resistance of the selected forms was assessed twice.

Results and conclusions. Significant variability of barley accessions from the countries of East Asia in their resistance to powdery mildew was observed. Symptoms of the disease were not found on plants of 16 studied forms. Weak or moderate development of the B. graminis mycelium was recorded for 21 accessions. Twenty-seven accessions were heterogeneous in the studied trait. Various levels of resistance were identified in 64 studied accessions (6.73%), among which 44 represented cultivars and breeding lines, and 20 were landraces. The percentage of accessions susceptible to the studied population of the pathogen was 93.27%.
Solanum nigrum L. is a potato spindle tuber viroid reservoir
Authors: Mironenko N. V. , Khiutti A. V. , Kyrova E. I. , Lashina N. M. , Afanasenko O. S.
Published: October 2022

Background. Among the weeds of the Solanaceae family, a potential viroid infection reservoir, black nightshade (Solanum nigrum L.), is ubiquitous in Russia.

Materials and methods. Molecular diagnostics of the viroid was performed using RT-PCR with the P3/P4 primers specific for PSTVd and 6Pospi F/R specific for the Pospiviroidae family of viroids. The amplification products were cloned and sequenced, and the nucleotide sequences were deposited in the GenBank database.

Results. RT-PCR showed that 80–100% of plants were infected with PSTVd. The cDNA amplicons of two plants from Nizhny Novgorod (Sn1 and Sn2) and one plant from Tula Province (Sn3) were cloned (3 clones each) and sequenced. An analysis of the nucleotide variability in the clones revealed significant genetic differences between the PSTVd strains, independent of the geographical origin. Mutations U120C and U192C, compared with the reference strain VP35 (LC523658), were found in all 9 clones. The Sn1 isolate was close to the “potato” VP35 isolate and differed from it only by three mutations. The Sn2 isolate was represented by three identical clones and differed from VP35 by nine mutations, while Sn3 had 22 mutations in the region of 49–310 nucleotide positions in total for three clones. After artificial infection of healthy S. nigrum plants in a greenhouse, the presence of PSTVd in infected plants was confirmed and it was proved that the viroid was transmitted by seeds to plants of the next generation.

Conclusion. For the first time in externally healthy plants of S. nigrum, widely distributed in the potato fields of Russia (Nizhny Novgorod and Tula Province), the potato spindle tuber viroid, PSTVd, was detected. It was proved that the viroid was preserved in the seeds of S. nigrum and transmitted to their progeny. Genetic heterogeneity of PSTVd strains from S. nigrum plants was found. Two mutations, U120C and U192C, were common for all tested clones of PSTVd strains.
Studying grain color diversity in the barley collection of VIR
Authors: Glagoleva A. Y. , Novokreschenov L. A. , Shoeva O. Y. , Kovaleva O. N. , Khlestkina E. K.
Published: October 2022

Background. Dark color of barley grain (Hordeum vulgare L.) can be caused by the synthesis and accumulation of two types of polyphenolic pigments – anthocyanins and melanins, which perform important functions in plant life, participating in the regulation of growth and development, and protecting plants from adverse environmental conditions. The aim of this study was to investigate the diversity of barley in the VIR collection in the context of grain color.

Materials and methods. To analyze the pigment composition of the grain, 150 barley accessions with colored grains were selected from the VIR collection. Anthocyanins and melanins in grain husk were identified using qualitative reactions.

Results and discussion. It was shown that in 60% of the accessions the dark color of their grain was induced by independent accumulation of melanin, while the accessions characterized by accumulation of only anthocyanins, and those with combined accumulation of anthocyanins and melanins, were 14.6% and 14%, respectively. For 11.3% of the accessions the presence of anthocyanins and melanins in grain husk was not found; their pigmentation could presumably be associated with an increased content of other polyphenolic pigments – proanthocyanidins. Accessions with melanin in grain predominated in all identified geographic groups, while other types of pigmentation were most evenly represented in the regions with the widest genetic diversity of barleys – Africa, East Asia, and the Middle East.

Conclusion. Dark pigmentation of barley grain was shown to be mainly associated with the accumulation of melanin, and this type of pigmentation prevails in all geographical regions identified. The results obtained made it possible to describe the barley collection more fully and expand the possibilities of its utilization.
Влияние диметилсульфоксида на поведение мышей линии C57BL/6
Authors: Кудряшов Никита Викторович , Горбунов Александр Анатольевич , Миронов Сергей Евгеньевич , Тихонов Дмитрий Александрович , Свиридкина Надежда Борисовна , Тарасов Вадим Владимирович , Фисенко Владимир Петрович
Published: October 2022

Изучено влияние хронического введения диметилсульфоксида (ДМСО) в дозах 0,024, 0,24 и 2,4 мг/кг на двигательную активность, тревожные реакции, компульсивно-подобное поведение и пространственную рабочую память мышей линии C56BL/6. Установлено, что применение ДМСО (2,4 мг/кг) в течение 28 дней приводит к увеличению периферической в 1,5 раза (p < 0,01) и общей двигательной активности мышей в 1,4 раза (p < 0,05), по сравнению с контролем в тесте «Открытое поле». Введение ДМСО в дозах 0,24 и 0,024 мг/кг в течение 28 дней приводило к усилению тревожных реакций мышей — уменьшению обследований отверстий в 3,5 и 3,7 раза (p < 0,05), соответственно, по сравнению с животными контрольной группы в тесте «Открытое поле» (p < 0,05) и усилению компульсивно-подобного поведения — увеличению количества зарытых шариков в 2,7 и 2,3 раза (p < 0,01), соответственно, по сравнению с контролем в тесте «Закапывание шариков». В то же время применение ДМСО во всех исследуемых дозах в течение 42 дней не вызывало изменений регистрируемых параметров у животных.
Об иммуномодуляторах мурамилпептидной природы
Authors: Крылова Ирина Николаевна , Карева Е. Н. , Цублова Елена Геннадьевна , Касабов Кирилл Алексеевич
Published: October 2022

Представлены основные сведения об иммуномодуляторах мурамилпептидной природы. Даны классификации иммуномодуляторов по происхождению и механизмам действия. Подробно рассмотрен механизм действия глюкозаминилмурамилдипептида. Приведены основные рекомендации по рациональному применению иммуномодуляторов мурамилпептидной природы.
Marlborough has left for the war: An excursion of psychosemantics to linguistics
Authors:   Lomonosov Moscow State University, Petrenko Viktor F.
Published: October 2022

The article is intended to familiarize linguists with the insights and practices of Russian psychology related to the issues of meaning and language. Psychology has not yet become a fundamental science integrating general theoretical knowledge [Wilber 2016]; it represents rather disparate fields of study (personality psychology, social psychology, neuropsychology, consulting psychology, psychotherapy, psychological group training, developmental psychology, organizational psychology, psychology of art, family psychology, sports psychology, etc.) and rather heterogeneous schools, differing in methods and reasoning (psychoanalysis, behaviorism, gestalt psychology, cognitive psychology, activity theory, humanistic and transpersonal psychology, etc.). Psycholinguists (e.g., A.A. Leontiev, I.A. Zimnya, E.F. Tarasov, T.N. Ushakova) studies, above all, generation of a speech statement and communication problems, whereas the works in the field of psychosemantics are focused on studying consciousness and the unconscious, as well as contents of social mentality. The emphasis of this article is primarily placed on the psychosemantic approach in psychology.
Topos of threat and topos of saviour as basic argumentatin strategies in modern diplomatic discourse
Authors:   Moscow City University, Kondakova Mariya I.
Published: October 2022

The article is devoted to investigationof the features and implicit motives of the topos of threat and topos of saviour in the modern public diplomatic discourse. These topoiform an argumentation complex that is necessary for achieving the main goals of diplomatic communication - the protection of national interests and the political competition. It is suggested that the topos of threat and the topos of saviour are a derivative ofspeech aggression, which has become a significant phenomenon in the diplomatic rhetoric of the XXI century. The article discusses the possibilities of using the discourse historical approachto estimate pervasive potential of topoi within the bounds of the psycholinguistic paradigm.The author emphasizes the specific functions of each topoi, significant for solvingthe problems of diplomatic discourse:to exaggerate a danger for international peace and security or to highlight of a state, which is ready to savethe world. The analysis of the speeches of Russian and American diplomatsproves that both topoi have common feathersand the established contextand are aimed at the achievement of diplomatic goals. Undoubtedly, the tendency to speech aggression in discourse of diplomacy is a significant deviation from traditional diplomatic communication and can be considered as an indicator of the changes in society and political situation. The article concluded that the topoi of threat and saviour has the potential to make changes to the recipient’s view of the world.
Between text and reader: Research framework for studying the comprehension of implicit meanings in verbal texts. Part I
Authors:   Saint Petersburg State University, Averianova Varvara A. , Shcherbakova Olga V. ,   Saint Petersburg State University
Published: October 2022

The article presents the results of the research aimed at building the framework for in- depth analysis of comprehension of implicit meanings in verbal texts. The existing approaches to studying implicit meanings and text comprehension are described, and common features of the cognitive processes underlying text comprehension are highlighted to provide the basis for further research. Different approaches to choosing and processing textual stimuli are also outlined and a model text along with the system of its analysis are proposed. The proposed analysis is based on stylistic and propositional methods. The suggestion is made that studying the way recipients reconstruct different types of elements of implicit meanings on different levels of text structure can allow to gain a better insight in the process of text comprehension. This approach will allow to explore the gradual nature of comprehension in relation with the gradual structure of the text, as well as reveal the cognitive operations underlying text comprehension and the certawein ways readers apply them when building their mental representations of the text. The article also presents the results of analysis of the model stimulus text by a group of experts. The expert group included eight linguists who individually performed the analysis of the text according to the scheme we provided. The results of the experts’ analysis of the text provide support for using it as a model in future research. The obtained results can also be interpreted as evidence for the existence of objective semantic content of the text which imposes restrictions on the multitude of its interpretations.
Linguistic personality: principles and instruments of modeling idioethnicity
Authors:   Pushkin State Russian Language Institute, Bozhenkova Natalya A. , Katyshev Pavel A. ,   Pushkin State Russian Language Institute, Ivanov Petr K. ,   Moscow Research Center
Published: October 2022

The article offers a comparative description of features which characterize the speech of native and non-native Russian speakers. The authors analyze typical mistakes considering both the degree of deviation from codified language variant and the nature of the impact of another language system. Besides, they look at the level of language skills. The special attention is given the description of the stages of authorship study as a system way of determining of the language personality and its lingua-cultural features. By analyzing the corpus of texts written by native speakers of seven languages, the authors show a number of signs that indicate non-native Russian speaker. Data shows that looking for patterns is associated with typological features of Russian language system and at the same time is based on comparative analysis of two different language systems which are actualized in author’s consciousness. The principles of characterization of categorical nature of typical mistakes which are to be in the written speech of non-native Russian speaker and language interference allow to identify the relation between the individuality of the text and ethno-socio-cultural environment. It is proved that the regularities peculiar to unusual language competence characterize it as a structure that adopts genetical relations and synchronic differences of the languages and also reflects the process of formation of the competence in natural or educational environment.
Meningkatkan Aktivitas Belajar Siswa dengan Menggunakan Metode Peta Konsep (Concept Mapping) pada Mata Pelajaran IPA Kelas V Sekolah Dasar
Authors: Yuliza Yuliza , Sumianto Sumianto , Rizal Muhammad Syahrul
Published: October 2022

Penelitian ini dilatar belakangi oleh aktivitas belajar siswa yang pasif pada mata pelajaran IPA kelas V di SD Negeri 012 Langgini Kecamatan Bangkinang Kabupaten Kampar. Salah satu solusi untuk mengatasi masalah ini adalah dengan menggunakan metode peta konsep (Concept Mapping). Tujuan penelitian ini untuk mengetahui peningkatan aktivitas belajar siswa dengan menggunakan metode peta konsep (concept mapping) pada mata pelajaran IPA kelas V sekolah dasar. Metode penelitian ini adalah Penelitian Tindakan Kelas (PTK) yang dilaksanakan dalam dua siklus.. Teknik pengumpulan data berupa observasi, wawancara, dan dokumentasi. Hasil penelitian ini dapat disimpulkan bahwa aktivitas belajar siswa pada siklus I yaitu, siswa yang sangat aktif sebanyak 1 orang (4,45%), siswa yang aktif sebanyak 10 orang (45,45%), siswa yang cukup aktif sebanyak 10 orang (45, 45%), siswa yang pasif sebanyak 1 orang (4,45%), dalam siklus I ini termasuk kategori cukup aktif dengan rata-rata 50%. Dan pada siklus II siswa yang sangat aktif sebanyak 7 orang (81,82%),siswa yang aktif sebanyak 11 orang (50%), siswa yang cukup aktif sebanyak 4 orang (18,18%), siswa yang pasif sebanyak 0 orang (0%), dalam siklus II ini meningkat pada kategori aktif dengan rata-rata 67,23%.
Peningkatan keaktifan Belajar Siswa Pada Pembelajaran IPA Menggunakan Pendekatan Contextual Teaching Learning (CTL)
Authors: Widiasih Wiwik , Rizal Muhammad Syahrul , Ananda Rizki
Published: October 2022

Permasalahan dalam penelitian ini adalah keaktifan belajar siswa IPA kelas VI SDN 035 Indrapuri Kecamatan Tapung Kabupaten Kampar masih tergolong rendah. Penelitian ini bertujuan untuk meningkatkan keaktifan belajar siswa pada mata pelajaran IPA kelas VI, melalui penerapan pendekatan Contextual Teaching Learning (CTL). Metode yang digunakan yaitu Penelitian Tindakan Kelas (PTK) yang terdiri dari dua siklus. Instrumen penelitian yang digunakan adalah lembar observasi aktivitas guru, dan lembar observasi keaktifan belajar siswa. Hasil penelitian menunjukkan adanya peningkatan keaktifan belajar siswa melalui penerapan pendekatan CTL. Hal ini dibuktikan dengan hasil lembar observasi keaktifan belajar siswa pada siklus 1 sebesar 79,60%, kemudian pada siklus 2 meningkat sebesar 80,48% yang berada pada kategori aktif. Kesimpulan penelitian bahwa penerapan pendekatan CTL dapat meningkatkan keaktifan belajar siswa, sehingga berdampak pada peningkatan keaktifan belajar siswa pada pembelajaran IPA kelas VI SDN 035 Indrapuri. Adapun saran yang diberikan yaitu:1. Siswa hendaknya lebih aktif dan kreatif dalam pembelajaran. 2. Guru hendaknya menerapkan pendekatan  CTL pada mata pelajaran lain. 3. Peneliti selanjutnya dapat meningkatkan pelaksanaan pembelajaran dengan lebih maksimal lagi
Meningkatkan Aktivitas Belajar Siswa Dengan Menggunakan Model Pembelajaran Kooperatif Tipe Make A Match Di Kelas V Sekolah Dasar
Authors: Fakhrezi Berrly , Rizal Muhammad Syahrul , Surya Yenni Fitra
Published: October 2022

Penelitian ini dilatar belakangi oleh rendahnya aktivitas belajar siswa pada tema 1 Organ Gerak Hewan dan Manusia di kelas V SD Negeri 136 Pekanbaru. Salah satu solusi untuk mengatasi masalah ini adalah dengan menggunakan model pembelajaran kooperatif tipe Make A Match. Tujuan penelitian ini untuk meningkatkan aktivitas belajar siswa pada tema 1 Organ Gerak Hewan dan Manusia dengan menggunakan model pembelajaran kooperatif tipe Make A Match. Subjek penelitian ini siswa kelas V yang berjumlah 30 orang, dengan jumlah laki-laki 12 orang, dan siswa perempuan berjumlah 18 orang. Teknik pengumpulan berupa dokumentasi, observasi, dan tes. Hasil penelitian ini dapat disimpulkan bahwa aktivitas belajar siswa tema 1 Organ Gerak Hewan dan Manusia pada Siklus I Pertemuan 1 yaitu 62,82% dengan kategori cukup aktif. Pada Siklus I Pertemuan 2 aktivitas belajar siswa meningkat yaitu 70,75% dengan kategori cukup aktif. Pada Siklus II Pertemuan 1 aktivitas belajar siswa meningkat yaitu 76,95% dengan kategori aktif. Pada Siklus II Pertemuan 2 aktivitas belajar siswa meningkat yaitu 81,54% dengan kategori aktif. Dengan demikian dapat disimpulkan bahwa menggunakan model pembelajaran kooperatif tipe Make A Match dapat meningkatkan aktivitas belajar siswa.
Meningkatkan Aktivitas Siswa dalam Belajar IPA melalui Pendekatan Inkuiri di Kelas V SD Negeri 07 Sei Barbari Kecamatan Pusako Kabupaten Siak Provinsi Riau (Penelitian Tindakan Kelas Materi Organ Tubuh Manusia dan Hewan).
Authors: Sarmila Sarmila , Rizal Muhammad Syahrul , Mufarizuddin Mufarizuddin
Published: October 2022

Penelitian bertujuan pada meningkatkan aktivitas siswa dalam belajar IPA Melalui pedekatan inkuiri .Penelitian ini Bertujuan Untuk mengetahui peningkatan aktivitas siswa dalam belajar IPA melalui pendekatan inkuiri ini diterapkan di kelas V SD Negeri 07 Sei Barbari. Penelitian ini merupakan penelitian tindakan kelas yang telah dilakukan pada bulan juli 2018.Penelitian ini dilakukan selama dua siklus dengan 4 kali pertemuan.Subjek penelitian adalah siswa kelas V di SD Negeri 07 Sei Barbari yang berjumlah 12 orang. Hasil penelitian ini membuktikan bahwa Aktivitas Siswa Siklus I pertemuan I aktivitas siswa kategori aktif sebanyak 58% sedangkan kategori cukup aktif 42% Pada Siklus I pertemuan II Meningkat sebanyak 100% kategori aktif. Pada Siklus II pertemuan I aktivitas siswa meningkat kategori sangat aktif sebanyak 67% dan kategori aktif sebanyak 33% terjadi peningkatan di siklus II pertemuan II kategori sangat aktif sebanyak 83% dan kategori aktif sebanyak 17%. Jadi dapat Disimpulkan Bahwa Penggunaan model Pendekatan Inkuiri dapat meningkatkan Aktivitas siswadalam belajar IPA.
Moving Through the Pipeline: Ethnic and Linguistic Disparities in Special Education from Birth Through Age Five
Authors: Cycyk Lauren M. , De Anda Stephanie , Ramsey Katrina L. , Sheppard Bruce S. , Zuckerman Katharine
Published: October 2022

This study examined Oregon’s early intervention (EI) and early childhood special education (ECSE) pipelines as a function of children’s intersecting ethnicity and home language(s) with a focus on children from Latino/a backgrounds with communication disorders. We found differences in children’s referral source and age of referral, likelihood of evaluation and placement, and type of placement for conditions related to communication, including autism spectrum disorder and hearing impairment. Results showed differences in EI and ECSE; however, disproportionality appeared greatest among Spanish-speaking Latino/a children and non-Latino/a children who spoke languages other than English compared to non-Latino/a English-speaking counterparts. Our findings suggest that attending to children’s intersecting ethnicity and language backgrounds in referral, evaluation, and placement add nuance to examinations of disproportionality. Results also indicate that practices related to characterizing children’s communication disorders likely make substantial contributions to inequities in EI and ECSE. Precise identification of differences in service provision can lead to targeted policy and practice solutions to reduce structural barriers to care in EI/ECSE systems and improve equity, particularly as related to placement for children of color with communication concerns.