bluuebunny/crossref_metadata_2025 huggingface dataset:
Problems of Automatic Processing of Scientific Texts based on Extraction of Information from Encyclopedias of Relevant Domain Areas
Authors:   Altai State Technical University, Barnaul, 656038, Russian Federation, Bachishe O. I. , Kruchkova E. N. ,   Altai State Technical University, Barnaul, 656038, Russian Federation, Shushakov D. S. ,   Altai State Technical University, Barnaul, 656038, Russian Federation
Published: January 2023

The article discusses the problems arising in the automatic processing of scientific texts and presents the results of work on creating a combined method for aspect-oriented analysis of scientific texts in the field of fundamental disciplines, taking into account both knowledge of the subject area and statistical methods of text processing. Thematic encyclopedias, which are not only a source of professional scientific terminology, but are considered to be an information resource for extracting knowledge about the subject area, are proposed to be used as training data. The work offers the structure of templates designed to extract information from the partially structured text of the encyclopedia, considers the structure of extracted sets of professional terms, offers the algorithm of formation of semantic relationships between special terms. The process of knowledge extraction in this paper is demonstrated on the example of processing four encyclopedias: mathematical, physical, chemical, medical. The general principles of the formation of domain scientific terminology are highlighted, and statistical data on the terminological composition in each of the examined areas is given. Within the framework of the conducted research on the basis of the texts of encyclopedias the basic semantic graphs of the corresponding scientific fields with the relations between the professional terms introduced on them are constructed. Basic graphs accumulate knowledge about the scientific field and are intended for the subsequent thematic analysis of unstructured texts of scientific articles. The Implemented algorithm of extraction of semantics of the given scientific text is based both on amplification of weights of nodes — terms of the applied domain, and on the correction of semantic relations between the nodes of the graph according to the processed text. The results of experiments on automatic construction of the list of keywords of the article are given. The results were compared with the list of keywords specified by the author of the article. It should be noted that the relevance of correctly extracted terms is mainly determined by semantic links in the basic domain graph, and depends significantly less on the number of keywords in the original article, which demonstrates the advantage of the proposed combined method compared with a simple frequency analysis. The sample analysis of the texts of the articles on mathematics showed good accuracy in the extraction of key terms compared to the list of keywords specified by the author of the article.
Innovative solutions in the design of waste disposal systems for multi-storey buildings
Authors: Zhigulina Anna Y. , Ponomarenko Alla M.
Published: January 2023

The article is devoted to the problem of creating rational and efficient systems of waste disposal and waste disposal in modern cities and is considered as part of the global problem of rational consumption of the planets material resources. The relevance of the development of modern methods for the collection and disposal of waste is due to the catastrophic pace of their increase on a global scale and the obvious irrationality of their burial and incineration. The advantages and disadvantages of traditional and modern improved waste disposal systems for buildings are considered. Conclusions are drawn about the need to form a systematic approach to the disposal of municipal solid waste, as well as the need to create and widely introduce modern waste disposal systems into the practice of urban construction. The introduction of such systems can be interpreted as one of the steps towards rational environmental management.
Improvement of methods for organizing recycling during reconstruction of buildings and structures
Authors: Alpatov Vadim Y. , Acri Ekaterina P. , Selezneva Zhanna V.
Published: January 2023

The problems of utilization of construction waste during the reconstruction of buildings and structures are considered. The methodological approaches to the processing of construction waste are studied, including the recycling of products of processing of concrete and reinforced concrete, which is currently one of the most priority areas of business in the construction industry. As a possible project, a mini-plant was chosen - a crushing and screening complex DSK-48-13, offered by the Obukhov Scientific and Industrial Company of the city of Nizhny Novgorod. An analysis of the project for the construction of a mini-plant for the processing of construction waste DSK-48-13 in the Samara region was carried out. The rationality of using the products of processing of concrete and reinforced concrete is substantiated.
The functioning of the tourist and local history club based on Kryvyi Rih specialized school № 74
Authors:   Taras Shevchenko national University of Kyiv, Davydenko K.D. , Gryniuk O.Yu. ,   Taras Shevchenko national University of Kyiv
Published: January 2023

A significant role in the educational process of the school is given to extracurricular and extracurricular work. In modern conditions, when the existence of Ukrainians as a nation is threatened, patriotic education of modern youth acquires great importance. It is the local studies direction of education that forms children's interest in studying the history and nature of their native land, features of culture, language, and famous figures. Students of tourist and local history groups should develop national consciousness and pride for their small Motherland during excursions, classes in the classroom or in nature. That is why it is necessary to develop extracurricular work in the field of tourism and local history in institutions of general secondary education. However, practice shows that Kryvyi Rih schools do not use the opportunity to create extracurricular associations in the above-mentioned direction. Thus, there is a need to create tourism and local history clubs on the basis of general educational institutions. The club as a form of work organization expands the opportunities of those who study, involves children of different ages in the learning process, but the general direction of the club 's work takes place within the framework of a defined program. The program developed by us ensures the fulfillment of all tasks set by the head of the group, competencies that students must acquire during theoretical and practical classes. The program contains 7 sections that allow you to explore in detail and learn about Kryvyi Rih, to appreciate the beauty of the native land with the help of excursion routes.
Low-Dimensional Superconductivity for Single-Photon Detection in Strong Magnetic Fields
Authors:   , Polakovic Tomas , Karapetrov Goran Tripun , Novosad Valentyn
Published: January 2023

Superconducting nanowire detectors are a very prominent technology in fields that require single-photon detection with very high efficiency, such as quantum computing and communication or nanophotonics. Their high detection rates and unsurpassed timing precision would also make them ideal candidates for detector technology in other fields, such as nuclear and high energy physics. Typical collider experiments, however, operate in much more extreme conditions than most quantum optics setups. One of the main roadblocks for transforming superconducting nanowire photon detectors into superconducting nanowire particle detectors was the question of their performance in strong magnetic fields. In this work, I present the results of developing a novel thin film deposition method called Ion Beam Assisted Sputtering, which allowed me to grow superconducting Niobium Nitride films with upper critical fields as high as 32 T and study their microstructural and electromagnetic properties. As the nanowires are detectors with extremely small sizes, I also explore the nature of the suppression of the superconducting state in ultra-thin films. I propose two possible explanations for this phenomenon, one based on confinement of the BCS condensate, and the other on weak localization and competition between two strongly correlated electronic phases. Finally, I use this technology to fabricate superconducting nanowire single photon detectors capable of detection in fields as high as 5 T, currently the highest field at which nanowire detectors are known to operate. This result demonstrates the potential viability of the technology for nuclear and high energy physics, and is an important stepping stone to developing novel particle detectors.
School Mode Choice Classification Model Exploitation Though Artificial Intelligence Classification Application
Authors: Kolidakis Stylianos Z. , Kotoula Kornilia Maria A. , Botzoris George N.
Published: January 2023

Human behavior pattern recognition exploited using Artificial Neural Networks (ANN) is at the core of Artificial Intelligence (AI) classification applications. School trip transport forecasting mode selection based upon ANN forecasting ability provided an easy-to-use scientific toolkit for sustainable urban policies designing and implementation. The paper capitalized acknowledged forecasting ability of ANN to recognize and classify behavior patterns leading to parental decisions of school mode choice. Main stages of this research included the conduction of an extended questionnaire survey in 512 parents of school students in Thessaloniki (northern Greece) and the investigation whether ANN forecasting model could classify school mode choice. Research provided promising results (forecasting ability ranging from 76% to 93%) on school mode parental selection forecasting models based on ANN classifier, providing a solid proof of concept for further investigation.
Applicability of Multivariate Linear Regression in Building Energy Demand Estimation
Authors: Storcz Tamas , Kistelegdi István , Horváth Kristóf Ronald , Ercsey Zsolt
Published: January 2023

The vision of the research project is to find an energy optimal building configuration, suitable for specified requirements and restrictions. The first step on this way is to create a measure to compare building configurations, faster than explicit energetic simulations. The current study examines the applicability of multivariate linear regression to support the solution of building optimization problems. During the study, multivariate linear regression models were created to estimate the expected annual heating energy demand of building configurations and examined their accuracy Between examinations, the models were modified so that the complexity was increased only to such an extent that the approximation was still sufficiently accurate. The result was a multivariate linear model that estimated the expected output for unknown descriptive variables with a 0% relative error and a 1.6% standard deviation. The R2 point of the estimates was 0.9884. Based on these, the model was considered applicable in the search space defined by the training patterns.
Sensorless Speed Control of a Brushless DC Motor Using Particle Filter (PF)
Authors: Abedulabbas Ghufran W. , Yaseen Farazdaq R.
Published: January 2023

The equivalent of electricity has recently been used to replace all the wear-prone moving mechanical components that produce faults. The electronic unit that substitutes the mechanical commutation unit in Brushless Direct Current (BLDC) motors improves dynamic properties, noise level, and efficiency. This work describes a method for estimating the BLDC machine's rotor speed and position by using Extended Kalman Filter (EKF) and Particle Filter (PF). The BLDC is a non-linear system with nonlinear measurements. To perform the EKF, Jacobian linearization of the motor model and the observation are needed. Linearization leads to a decrease in the accuracy of filter estimation. In PF, the relative likelihood of each particle is computed according to the measurements. Resampling gives set particles are distributed according to power density function (pdf). Then the PF can compute any desired statistical measure of this pdf. A sensorless drive has an accurate good throughout a wide speed range and with varied load torque, according to the simulation's results. The results show that the velocity inaccuracy rate at PF is approximately 0.01% and that at EKF it is approximately 1%. According to the findings, the PF outperformed the EKF in a comparison between them.
Innovative IoT-Based Wristlet for Early COVID-19 Detection and Monitoring Among Students
Authors: Frimpong Samuel Akwasi , Salau Ayodeji Olalekan , Quansah Andrew , Hanson Isaac , Abubakar Ruhiya , Yeboah Vincent
Published: January 2023

The current global issue of the COVID-19 pandemic has prompted the push and utilization of all available means to halt its spread. COVID-19 is a highly infectious disease, and continuously monitoring early symptoms could help avert catastrophic devastation. This paper proposes an innovative use of the Internet of Things (IoT) enabled system to efficiently and effectively detect early COVID-19 signs at a relatively low cost. This study adopted an experimental approach in designing and constructing a low-cost hardware system using a Wi-Fi enabled microcontroller, a temperature sensor, and a heart rate sensor for students. The proposed system detected and distinguished normal and abnormal temperature, regular and irregular heartbeat and constantly displayed the student's status in a mobile application. Consistent tests proved that the developed IoT-enabled system was reliable, responsive, and cost-effective. The mass production of this device will aid in the early detection of the disease, thereby mitigating the spread among students, particularly in underdeveloped countries. The paper's merit stems from the microcontroller's intelligence programming and the sensor's operation via the mobile application, which enables low-cost early identification of abnormal temperature and heartbeat irregularities.
Camera Image Processing on ESP32 Microcontroller with Help of Convolutional Neural Network
Authors: Sineglazov Victor , Khotsyanovsky Volodymyr
Published: January 2023

This paper analyzes a common ESP32 microcontroller with a built-in camera for image classification tasks using a convolutional neural network. ESP32 is commonly used in IoT devices to read data and control sensors, so its computing power is not significant, which has a positive effect on the cost of the device. The prevalence of ultra-low power embedded devices such as ESP32 will allow the widespread use of artificial intelligence built-in IoT devices. The duration of photographing and photo processing is obtained in the paper, as this can be a bottleneck of the microcontroller, especially together with machine learning algorithms. Deployed convolutional neural network, pre-trained on another device, MobileNet architecture on microcontroller and proved that ESP32 capacity is sufficient for simultaneous operation of both the camera and convolutional neural network.
Effect of precipitation on the nutrient reaction of triticale varieties
Authors: Kristó István , Vályi Nagy Marianna , Rácz Attila , Tar Melinda , Irmes Katalin
Published: January 2023

Triticale is the first man made genus hybrid of wheat and rye. The basic aim of its production was to combine yield potential and grain quality of wheat with the disease and environmental tolerance of rye. In the past decades, triticale crop area has been increasing in Hungary, which climate change has also contributed. The triticale is produce well in dry climatic conditions, so it becomes more and more popular among farmers. Our country is the one of the top 10 triticale producing countries in the World. In the long-term fertilization experiment, at Fülöpszállás, on calcic meadow chernozem soil we carried out experiments in three growing seasons (2018/2019, 2019/2020, 2020/2021) with three winter triticale varieties (Hungaro, Mv Talentum, GK Maros,) in 4 replications, on 20 square meter random layout plots. In our experiment, we examined 15 different fertilization treatments, in every year, which can be used as different fertilization strategies. From the results of our experiments, we concluded that the yield of triticale is largely determined by genotype and nutrient supply, which is strongly influenced by the average annual precipitation. In the dry year, the effect of nutrients on yield was greater than in the rainy growing season.
Redes de Indignación y de Esperanza de Manuel Castells
Authors: Loaeza Reyes Laura
Published: January 2023

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Nuevos consensos globales, poder corporativo y formación de trabajadores: un debate siempre presente
Authors: Figari Claudia Alicia
Published: January 2023

La modernización empresarial es un debate ineludible en las ciencias sociales del trabajo; más aún, es un contexto en el que la agencia pedagógica empresarial conforma nuevas subjetividades. En este artículo se analizan las lógicas modernizantes iniciadas en los años noventa en Argentina, mismas que al llegar el siglo xxi se fortalecieron por el consenso del Pacto Global, las revisiones de la norma iso 9000 y la difusión de la doctrina del management. Los hallazgos que se presentan provienen de investigaciones hechas desde una perspectiva cualitativa en la filial argentina de una empresa transnacional de productos electrónicos y en empresas privatizadas del subsector eléctrico.
Eyelash Make-up and Treatment Recognition Division for Adult Women Product Satisfaction Study of Eyelash Nutrients
Authors:   The Korean Society of Beauty and Art, Moon Ji-Sun , Lee Jung-Hee
Published: January 2023

This study aims to understand the relationship between adult women's perception of eyelash cosmetics and their satisfaction with eyelash nutrients. From October 2021 to April 2022, 203 adult women were surveyed using an online questionnaire to collect data on eyelash nutrient product satisfaction and general characteristics.
The data was analyzed using SPSS v. 25 Statistic program package. As a result of investigating using frequency analysis, factor analysis, technical statistical analysis, integrated variable analysis, correlation, and multiple regression analysis, it was found that functional recognition was highest in both eyelash makeup recognition and eyelash application recognition. Satisfaction with eyelash nutrients appeared in the order of product quality, product safety, and product sensitivity. It was confirmed that the higher the cosmetic, functional, and psychological awareness of eyelashes, the higher the product satisfaction with eyelash nutrients. (p<.05). As a result, it was confirmed that the higher the functional and psychological awareness of eyelash beauty among adult women, the higher the awareness of eyelash nutrients. By empirically analyzing the causal relationship between the awareness of eyelash beauty and eyelash nutrition, this research can provide quantitative data on the academic and topical aspects of the use of eyelash nutrition in the beauty industry.
Influence of Hair and Beauty Service Marketing Mix Factors (7Ps) on Customer Satisfaction and Loyalty
Authors:   The Korean Society of Beauty and Art, Kim Do-Eun , Park Eun-Jun
Published: January 2023

This study attempted to investigate the influence of the 7Ps of marketing on customer satisfaction and loyalty in hair services with a goal of providing marketing strategies which are needed to increase revenues through such 7 elements of marketing. For this, a questionnaire survey was performed, and a total of 325 copies were used for final analysis. The collected data were analyzed by frequency analysis, reliability analysis and multiple regression analysis, using SPSS 21.0, and the results found the followings: First, among the 7Ps of marketing, ‘people’ was excluded. Instead, ‘partnership’ was added. In addition, customer satisfaction and loyalty are categorized as ‘uni-dimensional’. Second, as strategic marketing was used, customer satisfaction and loyalty further increased. Third, high customer satisfaction revealed high customer loyalty. In sum, it is anticipated that the 7Ps of marketing mix would have a positive influence on customer satisfaction and customer loyalty as differentiated strategic elements and increase sales. It is expected that there would further studies which are more reliable with a wide range of age and region and through segmentation of diverse variables.
Analysis of Job Stress and Job Commitment in Beauty Salon Workers
Authors:   The Korean Society of Beauty and Art, Ji Ah-Ram , Park Eun-Jun
Published: January 2023

With the advent of various cultural trends, consumers' desire for self-expression is increasing. One of the fields that most sensitively reflects these social changes is the hair field. The working conditions of hairdressers are psychologically consuming a lot of energy due to physical and mental stress, excessive workload, complex work environment, low salaries, and relationships with colleagues in poor working environment. When such job stress accumulates, it leads to psychological anxiety about job immersion, and this psychological factor lowers customer service and has a direct impact on the beauty industry. This study attempted to investigate i) differences in job stress, ii) differences in job commitment, iii) job stress validity & reliability, iv) job commitment validity & reliability and v) the influence of job stress on job commitment against beauty salon workers. For this, a questionnaire survey was performed against beauty salon workers from the staff to the owner in Seoul and Gyeonggi-do. Among a total of 522 questionnaires distributed, 512 copies excluding 10 poorly answered ones were used for final analysis, and the results found the followings: First, concerning the influence of job stress on job commitment, a statistically significant effect was found in ‘reward’ and ‘personnel’. Second, as ‘reward’ and ‘business factor’ increased, ‘affiliation commitment’ decreased. Third, in social cognition, a statistically significant influence was observed in ‘personnel’, ‘reward’ and ‘business factor’ (p<.001). In predicting social cognitive factors, ‘personnel’, ‘reward’ and ‘business factor’ demonstrated the explanatory power of 11.4%.
Analysis of Sociocultural pressure, Body consciousness and Appearance Management Behavior in Korean and Chinese University students: Focused on the University Students in Gwangju
Authors:   The Korean Society of Beauty and Art, Ma Yiwen , Cho Koh-Mi
Published: January 2023

This study found that there is a difference in sociocultural pressure, body consciousness and appearance management behavior by country/gender. In other words, body values differ by country, and classification by demographic characteristics is critical. In fact, appearance awareness and involvement can vary depending on society and culture, and aesthetic differences are found by country, society and culture. This study is meaningful in that it examined differences in sociocultural pressure, body consciousness and appearance management behavior by country against Korean and Chinese college students and confirmed that such differences were observed under different sociocultural environments. In other words, sociocultural pressure, body consciousness and appearance management behavior can be perceived differently by country, and their importance can also differ. However, the study has a limitation in generalizing the results because it examined Korean and Chinese students from colleges in Gwangju Metropolitan City only. Therefore, it is required to perform further studies with a broad age and gender spectrum and extend a scope of study by covering more countries to specify aesthetic values, body consciousness and appearance management behavior according to sociocultural characteristics.
Postawy rodziców wobec dzieci z wrodzoną łamliwością kości
Authors: Albińska Paulina
Published: January 2023

Wprowadzenie: Wrodzona łamliwość kości (osteogenesis imperfecta – OI) jest rzadką chorobą kości. Etiologia jej obejmuje defekt genów odpowiedzialnych za produkcję kolagenu typu I lub mutacji genów białek zaangażowanych w jego potranslacyjną obróbkę. Pacjenci doświadczają nawracających złamań kości długich i kręgów oraz trudności funkcjonalnych innych narządów. Cel: Ocena postaw rodziców wobec pacjentów pediatrycznych z rozpoznaniem OI. Materiał i metody: Przebadano 102 osoby (51 rodziców pacjentów z wrodzoną łamliwością kości oraz 51 opiekunów dzieci z rozpoznaniem nieprawidłowości gospodarki wapniowo-fosforanowej). Zastosowano Skalę Postaw Rodzicielskich M. Plopy oraz autorską ankietę socjometryczną. Wyniki: Wykazano brak istotnych statystycznie różnic w ocenie nasilenia postaw rodziców wobec dzieci z OI (wrodzoną łamliwością kości) oraz z NG Ca-P (nieprawidłowościami gospodarki wapniowo-fosforanowej). Opiekunów charakteryzuje wysoki poziom akceptacji, przeciętne nasilenie wymagań, autonomii i ochrony oraz mała niekonsekwencja wobec chorych dzieci. Wnioski: Rodzice dzieci z OI mają potencjał tworzenia dobrych warunków do rozwoju swoich chorych dzieci, a pozytywne postawy są korzystnym czynnikiem sprzyjającym prawidłowej adaptacji dzieci do życia.
Clutch Curve Calculation for Designing Anti-Skid and Anti-Slippage Systems
Authors: Izvarin Mihail , Andreev Vladimir
Published: January 2023

Purpose: Creation of mathematical apparatus for calculating clutch curve in designing of anti-skid and anti-slippage devices. It is necessary to obtain formula suitable for calculating the dependence of clutch coefficient from absolute and relative slippage speeds of wheelsets along rails and from electric rolling stock (ERS) speed. Methods: Result analysis of trials for various ERS types according to data from open sources and to clutch characteristics obtained as a result of these trials with the use of mathematical statistics methods. Results: as a result of the work, it has been managed to represent the dependence for calculating clutch coefficient in the form of two function “joining”. Practical significance lies in the possibility to use the work results at designing anti-skid/anti-slippage device UPZ-M.
Arrangement of Railway Economics of Promising Freight Villages
Authors: Vakulenko Sergey , Kurenkov Petr , Romenskiy Dmitriy , Kalinin Sergey , Romenskaya Mariya
Published: January 2023

Purpose: To explore the issue of notion transformation on modern logistic complex and its role in transport system. To study the world experience in the formation of such notion as “freight village” and the development experience of such projects, to compose feature list of freight village in its up-to-date understanding and to formulate recommendation list for to develop such comprehensive logistic facilities in Russia conditions. Methods: Analysis of international experience and synthesis of new technical-technological solutions for freight terminals. Results: It was determined that scientific- technical development of transport-logistic branch proceeded in parallel with knowledge development (evolution) on transport-freight complexes. It has been determined that according to the most advanced notions about transport logistics, a freight village is a promising format for comprehensive logistic facilities. Standard master plan of freight village has been carried out with the definition of promising arrangement solutions for its railway infrastructure. Practical significance: The developed scheme of railway economics of freight village can be used at designing the territories of new freight villages and industrial parks in Russia and the CIS countries.
Configuring Terminal-Warehouse Infrastructure of Transport Hub Basing on the De-velopment of Method of Economic-Geographical Differentiation of Cargo Flows
Authors: Chislov Oleg , Bogachev Viktor , Trapenov Vladimir , Bogachev Taras , Zadorozhniy Vyacheslav
Published: January 2023

Purpose: To formulate proposals for configuring terminal-warehouse infrastructure for the placement of storage facilities inside a transport hub. Methods: Basing on the analysis of pub-lications in the trend of the research data, optimization geometric Euclidean model of freight process, embodied on the territory of a transport hub, was applied to find optimal cargo flow distribution by dividing the flow into parts representing “influence areas”. Results: optimiza-tion algorithm for freight process was developed in the article on the basis of classical integral calculus methods, the algorithm allows to discover those ones among many distributive center possible locations which allows in view of restriction complex to determine “influence area” of distributive center with the largest area in comparison with the initial area. Practical signifi-cance: Economic effect was obtained from base rental rate reduction that is due to possible change of logistic freight distribution center location outside dense urban development territo-ry where base rental rate is higher.
Forecasting Locomotive Run Dynamics Given the Impact of Defects and of Junction Up-grading
Authors: Muhin Oleg
Published: January 2023

Purpose: To improve planning system for depot and factory repairs and for locomotive up-grades in the conditions of new rolling stock delivery on the basis of life-cycle contract by the way of the development and application of mathematical model for prognosing average daily and linear runs given the impact on run of technical-technological, seasonal and random fac-tors as well as defects, limiting junctions, and their upgrading. Methods: To achieve the set goal realization, the impact assessment for non-productive downtime of new locomotives at repairs as a result of clearing of junction defects and an equipment and of downtime in wait-ing for planned repairs on dynamics of average daily and linear runs was carried out. Based on the method of multidimensional spectral singular analysis and the prognosis of time series Multi-Channel Singular Spectrum Analysis, the mathematical model on run prognosis which algorithm for, has been embodied in integrated programming environment Visual Studio (2019) on C++ programming codes. Results: Run determination method given junction and equipment possible defects and given being planned upgrading has been proposed. Practical importance: In the conditions of life-cycle contract application which frames in, the participa-tion of locomotives and their components manufacturers in the technical support of supplied products throughout their entire service-life is implied, the usage of the proposed model at re-pair program monthly, quarterly and annual planning, would reduce the downtime in waiting for putting into a repair position on account of more accurate forecast, rationally distributed repairs, materials, stock of linear equipment between service manufactures.
Features of Error Detection by Berger Codes in Built-in Control Schemes Embodied by Boolean Complement Method
Authors: Efanov Dmitriy , Osadchiy German , Zueva Marina
Published: January 2023

Features for error detection by Berger codes in digits of both, informational or control vectors, that’s vital at their usage for built-in control scheme synthesis by Boolean complement method, are analyzed. Meanwhile, an accent was made on the analysis of probabilistic characteristics of error detection in Berger code words and on the experimental investigations of possibilities of error identification versus these errors’ kinds and multiplicities. The assessment of indicator for error non-detection in Berger code words talks about that even in the case when distortion absence probability in a one digit is of less than p = 0.9, error detection Pm common value in the circuits, synthesized with Boolean complement method, of built-in control on Berger code basis exceeds indicator of 0.98. But as for real devices, the given value of distortion absence in a one digit is much higher. The experimental results also show that errors in control devices are revealed in built-in control schemes, which’re organized by Boolean complement method, rather well: for all the circuits, non-detected error share on devices’ outputs constitutes less than 7% and, approximately for their half, – less than 2%. This also talks about high efficiency of Berger code application at built-in control scheme synthesis with Boolean complement method.
Screening And Identification of Fibrinolytic Bacteria From Tauco
Authors: Setyawati Eni , Poernomo Toto , Sudjarwo Sudjarwo
Published: January 2023

Tauco is one kind of traditional fermented food from Indonesia. Tauco is processed from soybean paste with a salty taste andcommonly has yellow and black color. Generally, tauco is used as spice or seasoning in various daily dishes. The study aimsto find and identify the bacteria that produced fibrinolytic enzymes in tauco. The sample used in this research is tauco from sixdifferent manufacturers. Two tests have to do in this study: a proteolytic test of the Skim Milk Aga and a fibrin plate test. Bothtests used to gain the bacteria-producing fibrinolytic enzyme are Bacteria identified macroscopically, gram staining, and 16SrRNA sequencing. In the proteolytic test, the sample was diluted with 0.9% to 10-7 NaCl and then inoculated on Agar MilkSkm medium, incubated at 37ºC for 24 samples have a proteolytic activity that shown by the formation of clear zones aroundbacteria. 17 isolates of proteolytic bacteria were incubated at 37ºC for 24 hours and then used for the fibrin plates. All proteolyticbacteria produce fibrinolytic activity, the most extensive fibrinolytic index in TC4a isolate of 3,46. Furthermore, TC4a bacteriawere genotypically identified by sequencing the 16S rRNA gene. According to the result of tauco identification, it is found thatthe bacteria that strongly produce fibrinolytic enzymes in tauco sample TC4a is similar to Bacillus cereus TC4a.
UAV assisted communication for ground users using machine learning and optimization
Authors: Ravi Prakash , Zang Tianyue , Scott Mark , Wang Miao
Published: January 2023

Aim: Among a large number of products that support communication, there is one called space air ground integrated networks (SAGIN's), which is the most commonly used to support users in rural and emergency situations. Typicaly in emergency situations SAGIN's use unmanned aerial vehicles (UAVs) in their air layer to temporarily support the ground users. Although the cost of UAVs is lower than that of traditional base stations, and their actions are more flexible, but their battery life problems lead to frequent charging of drones, resulting in many resource losses and unable to provide communication support. In order to mitigate the issues, novel optimization algorithms need to be developed to support the ground users. Methods: In this work, we develop a grid-based deep learning method using the LSTM model to estimate the number of ground users as vehicles in each area, and developed an optimization algorithm to minimize the number of UAVs needed to the user's and meanwhile to satisfy quality of service (QoS) requirements. For optimization, we mainly use the Linear Optimization Tools and an objective function has been developed using density predicted and SINR data to achieve acceptable QoS. Results: The simulation results shows that this approach has improved the quality of the communication by 50%. Conclusion: Using unique grid technique and the LSTM machine learning model, the user densities on each partitioned grid is determined. Finally, a linear optimization algorithm is developed based on the user density to determine the lowest number of UAVs to support the users in each grid while maintaining the QoS.
Use of the Zebrafish Model as a Tool to Evaluate the Anti-Inflammatory and Antioxidant Activity of Molecules. Literature Review
Authors: Bustillos Alberto , Arteaga Cristina , Contreras Luis Felipe , Borja Ruth , Campoverde Carolina
Published: January 2023

This work is based on identifying the analysis techniques used to evaluate the antioxidant and anti-inflammatory effects using the zebrafish model. In this context, a literature review was performed with the Web of Science database. We used the terms zebra fish, antioxidant, anti-inflammatory, model, and Danio rerio. Fifty articles were reviewed, of which thirty-three were chosen to perform this review and were classified according to the source of plant extracts, compounds extracted from plants, chemical compounds, and other sources. This paper is an effort to provide a literature review on zebrafish models and elucidate their pros and cons to evaluate anti-inflamatory and antioxidant activity.
Data Cooperatives as a Catalyst for Collaboration, Data Sharing and the Digital Transformation of the Construction Sector
Authors: Bühler Michael , Nübel Konrad , Jelinek Thorsten , Riechert David , Bauer Thomas , Schmid Thomas , Schneider Martin
Published: January 2023

Digital federated platforms and data cooperatives for secure, trusted and sovereign data exchange will play a central role in the construction industry of the future. With the help of platforms, cooperatives and their novel value creation, the digital transformation and the degree of organization of the construction value chain can be taken to a new level of collaboration. The goal of this research project was to develop an experimental prototype for a federated innovation data platform along with a suitable exemplary use case. The prototype is to serve the construction industry as a demonstrator for further developments and form the basis for an innovation platform. It exemplifies how an overall concept is concretely implemented along one or more use cases that address high-priority industry pain points. This concept will create a blueprint and a framework for further developments, which will then be further established in the market. The research project illuminates the perspective of various governance innovations to increase industry collaboration, productivity and capital project performance and transparency as well as the overall potential of possible platform business models. However, a comprehensive expert survey revealed that there are considerable obstacles to trust-based data exchange between the key stakeholders in the industry value network. The obstacles to cooperation are predominantly not of a technical nature, but of a competitive, predominantly trust-related nature. To overcome these obstacles and create a pre-competitive space of trust, the authors therefore propose the governance structure of a data cooperative model, which is discussed in detail in this paper.
Foxp3 and CD68 as Potential Predictors of Response to Immune Checkpoint Inhibitors in Patients with Advanced Solid Tumor
Authors: Grell Peter , Borilova Simona , Fabian Pavel , Selingerova Iveta , Novak David , Muller Petr , Kiss Igor , Vyzula Rostislav
Published: January 2023

Immune checkpoint inhibitors (ICI) are currently use in a wide range of tumors, but only 20-40% of patients achieve clinical benefit. Aim of our study was to find predictive biomarkers of ICI treatment. We analyzed by immunohistochemistry various cell subsets, including CD3+ cells, CD8+ cells, CD68+ cells, CD20+ cells, FoxP3+ cells, and molecules as LAG-3, IDO1, TGfβ. Comprehensive genomic profiles were analyzed. Correlation of various biomarkers with efficacy of ICI treatment in patients with advanced solid tumors was evaluated. We evaluated 56 patients treated with ICI monotherapy. Longer median progression-free survival (PFS) was found in tumors negative for nuclear FoxP3 (P = 0.002, HR 0.14) and in TMB-high tumors (P = 0.024, HR 0.38). Longer overall survival (OS) was found in patient with intraepithelial CD8 negativity (P = 0.045, HR 0.47). In malignant melanoma CD68 negativity, FoxP3 negativity and PDL TPS ≥ 1 was associated with longer PFS. In NSCLC FoxP3 was associated with longer PFS and OS. We found that absence of expression of several biomarkers such as CD68 and FoxP3 is associated with better survival. TMB-high and PD-L1 expression not universally but in certain disease could predict response.
Biothermodynamics of the BA.5.2 and BF.7 variants of SARS-CoV-2
Authors: Popovic Marko
Published: January 2023

SARS-CoV-2 resembles the ancient mythical creature Hydra. Just like with the Hydra, when one head is cut, it is followed by appearance of two more heads, suppression of one SARS-CoV-2 variant causes appearance of newer variants. Unlike Hydra that grows identical heads, newer SARS-CoV-2 variants are usually more infective, which can be observed as time evolution of the virus at hand, which occurs through acquisition of mutations during time. The appearance of new variants is followed by appearance of new COVID-19 pandemic waves. With the appearance of new pandemic waves and determining of sequences, in the scientific community and general public the question is always raised of whether the new variant will be more virulent and more pathogenic. The two variants characterized in this paper, BA.5.2 and BF.7, have caused a pandemic wave during the late 2022. This paper gives full chemical and thermodynamic characterization of the BA.5.2 and BF.7 variants of SARS-CoV-2. Having in mind that Gibbs energy of binding and biosynthesis represent the driving forces for the viral life cycle, based on the calculated thermodynamic properties we can conclude that the newer variants are more infective than earlier ones, but that their pathogenicity has not changed.
Geology and Structure of Uru-Ugworji Diorite Lokpanukwu, Southeastern Nigeria
Authors: Obinnaya Chikezie Victor Nwosu , Kalu Kalu Ibe
Published: January 2023

The Lokpaukwu Uru Quarry was examined geologically, geophysically, and core-wise. The location is between 5056.149'N and 5056.193'N and 7028.312'E and 7028.356'E. The study location may include the Asu River Group and the Eze-Aku Formation. This area has five rock units. In the eastern research region, siltstone forms a "CAP" on the shale. Shale underlies half of the study area. The west has calcareous sandstone. The eastern part of the area is dolerite, the main rock that spans siltstone and shale. The region's geological matter contains iron. Two geological sections were analysed and interpreted to identify the five rock units and their outcrops in the study area. electroresistivity in geophysical research Schlumberger found that the western, northwesterly, and central sections of the research region had a thick sedimentary sequence, whereas the eastern half has an igneous body, the project's main component. Sandstone, siltstone, and shale follow the high-resistivity rock in this location. The rock unit in the region was found in eleven core samples from the east half of the study area. Nine rock-unit core samples were found near Obichioke. The Lokpaukwu area's core data shows the rocks' positions, kinds, minerals, and strengths. Geologic mapping shows that a major fault separates the viable Uru end from the unviable Obichioke lot. Recrystallization dominates the fault track (alcitic matter). Thus, prior to quarrying igneous (basic) units, comparable investigations are advised.
The Use of Silver Nanoparticles in Environmental Remediation
Authors: Panda Pravati , Chakraborty Subhendu , Krishna Suresh Babu Naidu
Published: January 2023

The invention of nanoscience not only brings a revolutionary change in the field of science but also changed the direction of research. Today the whole world is under the trigger of nano and nanoparticles have multidimensional applications in every aspect of life including environmental point of view. Till today a plethora of nanoparticles have been synthesized and have also been applied for multiple purposes and hence grabbed the attention of researchers all over the world. Among the bunch of NPs discovered to date, we have a particular interest in silver nanoparticles (AgNPs) because of their cost-effectiveness and huge abundance in the earth’s crust. With respect to every passing day, due to various kinds of anthropological activities, the quality of the environment such as air, water and soil is depleting which ultimately hampers the human civilization. To encompass the growing environmental issues, many techniques have been adopted. Among the many strategies, tackling the current issues regarding environment through nanoscience is highly worthy as because of its cost-effectiveness, less time consuming and easy handling process. This article reviews the potential of nanoparticles, particularly silver nanoparticles, for a wide range of environmental applications, such as soil, air, and water remediation.
Secure Management of Autonomous Cloud Entities in Distributed Systems
Authors: Kara Mostefa
Published: January 2023

In recent years, Cloud Computing and Big Data have been considered the most attractive areas that are revolutionizing the IT world. Cloud Computing paradigm has recently appeared that allows running proprietary or difficult portable applications outside their original software environment on one or more virtual hardware platforms. Therefore, we are to developing such techniques which make it possible to secure communication between the communicating Cloud entities. These techniques must take into account several factors due to the data transmitted in this type of environment is proprietary and of significant size. Conventional data security techniques are not suitable for today's cloud usage. Hence, the main research of this thesis is to define an adaptable architecture with the aim to propose a scalable system that supports cloud services.
Remote Pedagogical Residence in Pandemic Times of a Pedagogy Course from a University Campus in the Interior of Rio De Janeiro, Brazil
Authors: Rabelo Amanda
Published: January 2023

This article aims to discuss the activities developed through the Pedagogical Residency Program for literacy of the Pedagogy course at UFF (Universidade Federal Fluminense) at INFES (Northwest Fluminense Institute of Higher Education) located in Santo Antônio de Pádua/Rio de Janeiro/Brazil, which due to the COVID-19 Pandemic, it started to be carried out remotely, in a virtual context, using digital technologies. We will describe the context and activities that were carried out within this new reality.
Yield and Toxin Analysis of Leaf Protein Concentrate from Common North American Coniferous Trees
Authors: Mottaghi Maryam , Meyer Theresa K. , Tieman Ross John , Denkenberger David , Pearce Joshua M.
Published: January 2023

In the event of an abrupt sunlight reduction scenario there is a time window that occurs between when food stores would likely run out for many countries (~6 months or less) and ~1 year when resilient foods are scaled up. A promising temporary resilient food is leaf protein concentrate (LPC). Although it is possible to extract LPC from tree biomass (e.g. leaves and needles), neither the yields nor the toxicity of the protein concentrates for humans from the most common tree species has been widely investigated. To help fill this knowledge gap, this study uses high-resolution mass spectrometry and an open source toolchain for non-targeted screening of toxins on five common North American coniferous species: Western Cedar, Douglas Fir, Ponderosa Pine, Western Hemlock, and Lodgepole Pine. The yields for LPC extraction from the conifers ranged from 1% to 7.5%. The toxicity screenings confirm that these trees may contain toxins that can be consumed in small amounts and additional studies including measuring the quantity of each toxin are needed. The results indicate that LPC is a promising candidate to be used as resilient food, but future work is needed before LPCs from conifers can be used as a wide-scale human food.