bluuebunny/crossref_metadata_2025 huggingface dataset:
РОЗВИТОК МЕТОДОЛОГІЧНОГО ПІДХОДУ ЩОДО ІНТЕГРУВАННЯ ПРИРОДНИХ АКТИВІВ У СИСТЕМУ УПРАВЛІННЯ МУНІЦИПАЛЬНИМИ АКТИВАМИ
Authors:   Institute of Market and Economic-Ecological Research of the National Academy of Sciences of Ukraine”, Petrushenko Mykola
Published: February 2023

The purpose of the research is to substantiate the development of a methodological approach to the integration of natural assets into the municipal asset management system, in the context of adapting the best world experience to the specifics of Ukrainian municipalities. The research methodology includes a descriptive analysis and consideration of cases regarding the natural asset management, primarily at the municipal level, in particular in accordance with the advanced Canadian MNAI methodology, within the framework of substantiating the features of the integration of natural assets into the municipal asset management system. According to the results of the conducted research, in particular within the analysis of the materials of the Recovery Plan of Ukraine, it was revealed that the situation with the infrastructure of the life support systems of cities and other settlements is significantly complicated due to the russian invasion: destroyed / damaged drinking water supply and drainage systems, these systems are overloaded in the western regions of the country, the quality and safety of drinking water do not meet the requirements for suitability for human consumption, etc. The MNAI methodology, identified as optimal for implementation in the cities of post-war Ukraine, contributes to ensuring the motivation of local self-government bodies to make informed decisions about how to manage a specific natural asset so that it can provide the specified services on an ongoing basis. Planning and management tools include operation and maintenance plans, which ideally will provide local governments with a practical operational framework for the long-term natural asset management. The implementation of this methodology involves the realization of projects based on partnership. The obtained results of the research can be projected into the plane of implementation of nationwide long-term projects relevant to the municipal natural asset management in Ukraine
THE INFLUENCE OF COMPUTER-BASED INTERACTIVE MEDIA AND STUDENTS' CRITICAL THINKING SKILLS ON LEARNING OUTCOMES OF PHYSICS MATERIAL ELASTICITY OF CLASS XI IPA STUDENTS AT SMA PAKUSARI
Authors: Setya Utama Karunia Muda
Published: February 2023

The influence of computer-based interactive media has an influence on critical thinking skills and learning outcomes of physics material Elasticity. Respondents of this study were students of class XI IPA SMAN Pakusari, With a total of 76 students in Class XI IPA 4 with computer-based interactive learning with the MS team application in the 2020 school year, the research area was determined using the purpuse sampling area method. This research is a quantitative research with causal quantitative design. Data collection tools using observation, interviews, documentation and tests. Test Analysis of the instrument using: 1) normality test 2) homogeneity test. Data analysis used multiple linear regression using the product moment. Based on the hypothesis test, it is proven that: (1) the results of the 1-Sample Kolmogorov Smirnov analysis above, obtained the data sig = 0.088. Because the obtained sig > 0.05, then H0 is accepted, Ha is rejected. That is, the experimental class = control class.2). Based on the "Paired Sample Correlation" table above, the correlation value is 0.209 with a significance of 0.220. Because the significance value is > 0.05, it can be said that there is no relationship between the pretest variable and the posttest variable. Based on the table "Paired Sample t-test", it was found that the significance value (2-tailed) was 0.00. Because the significance value is <0.05, then H0 is rejected and Ha is accepted. So it can be said that there is an average difference between the pretest and posttest scores, which means that the use of Ms. Teams can improve student learning outcomes and critical thinking skills on physics material.
Pengelolaan Dana Bantuan Operasional Sekolah Di Sekolah Dasar Negeri
Authors: Nurrochman Taufik , Muhammad Farid , Harsono Harsono , Suyatmini Suyatmini
Published: February 2023

. This study aims to describe the management of Regular School Operational Assistance (BOS) funds at SD Negeri 2 Sawahan, Boyolali Regency, starting from planning, implementation and accountability as well as reporting on the use of regular BOS funds by School Management. This research uses a descriptive qualitative approach, the source of this research is the school principal and BOS treasurer. Data collection uses direct interview techniques, field observations, and documenting the results. Data were analyzed using several stages starting from collecting data, sorting data by reduction, presenting data, and verifying the correctness of data. The results of data analysis concluded that the management of Regular School Operational Assistance (BOS) funds at SD Negeri 2 Sawahan had been carried out in accordance with the Technical Guidelines for the Use and Accountability of School Operational Assistance Funds for Elementary Schools in 2022, but in practice there were still obstacles such as delays in the distribution of BOS funds , discrepancies and lack of coordination in reporting BOS funds that must be corrected immediately.
FROST RESISTANCE OF THE COLUMNAR APPLE TREE THE METHOD OF DIRECT FREEZING
Authors: Havryliuk O. , Kondratenko T. , Mazur B.
Published: February 2023

Frost stress strongly affects the spatial distribution of plants. Among various weather hazards, frost causes the greatest economic losses in agriculture. Among various environmental hazards, it is frost that causes the greatest economic losses in agriculture. Although frost severely limits life forms and creates enormous economic losses, it has not been studied as thoroughly as other biotic or abiotic stresses. Frost resistance can be affected by many factors, including microclimate, soil condition, plant height, but they must be studied in a complex. The purpose of the research was to select frost-resistant cultivars and hybrids of the columnar apple tree under the conditions of the Forest Steppe of Ukraine. The research was carried out during 2021–2022 at the V.L. Symyrenko Department of Horticulture of the National University of Life and Environmental Sciences of Ukraine. The experimental basis for conducting research was the columnar apple tree plantations of the Training Laboratory «Fruit and Vegetable Garden». Frost resistance was determined during the period of deep rest by the method of direct freezing of one-year increments. Freezing was performed in the laboratory of plant physiology and microbiology of the National Academy of Sciences of Ukraine. In the researched plantations, when the test samples were frozen at temperatures of -25 and -30 °C during deep rest, different resistance of varieties and shoot parts to low temperatures was found. In all cultivars and hybrids of columnar type apple trees, the apical bud and generative buds were the most vulnerable, and the tissues of the middle and upper part of the shoot were the most resistant to frost. The damage index during general freezing was the lowest in the cultivars Valuta’, Sparta’, Favoryt’, Bilosnizhka’, as well as in the hybrids 9/110 Mykhailivske’, 11/15(2)’ and 9/78 Viktoriia’; it was the largest in the Bolero’ cultivars. Freezing of experimental samples at temperatures of -25 and -30 °C did not result in frostbite, critical for plants. All studied cultivars and hybrids of columnar apple trees are recommended for further research and production. The obtained results will be interesting for both experienced gardeners and amateur gardeners who plan to grow columnar apple trees in their garden.
DYNAMICS OF LINEAR GROWTH AND PERFORMANCE OF TWO-YEAR-OLD YOUNG TROPPING HORSES
Authors: Zlamaniuk L. , Bakshuk K.
Published: February 2023

The linear growth and performance of young horses of the Oryol and Russian trotting breeds of two years of age of the PE "Sukach V.P." were studied.

The conducted analysis of the dynamics of linear growth shows that two-year-old stallions and fillies of the Oryol trotting breed outnumber the young of the Russian trotting breed. Although, it should be noted that fillies of the Orlov trotting breed did not significantly differ from female Russian trotting breeds in terms of breast girth and wrist girth. In addition, it was established that fillies of the Russian trotting breed were slightly inferior to the requirements of the control scale for the development of young trotting breeds in terms of measurements: height at the withers - by 0.7 cm, chest girth - by 4.9 cm, and instep girth by 0.2 cm.

For horses of trotting breeds, liveliness is considered the main selection feature, and the main selection criterion is liveliness at 1600 m.

In order to qualify, two-year-old young Orel trotters, regardless of gender, must complete a distance of 1,600 m in 2.55.0 and faster, and for Russian - 2.50.0 and faster.

The stallions of the Oryol breed were 2.3 seconds faster, and the Russian stallions yielded to the requirements of the standard by 1.2 seconds, which confirms the better precociousness of the Oryol population in comparison with peers of the Russian trotting breed.

The mares of both experimental breeds were inferior to the standard of the Oryol trotting breed by 9.1 seconds, and the Russian one by 2.5 seconds, which is undesirable especially for the mother stock of the Oryol population.

So, it was established that regardless of age, the young of the Orlov trotting breed are more precocious than the young of the Russian trotting breed, but according to the liveliness index, on the contrary, stallions and mares of the Russian trotting breed prevailed over the Orlov.
FEATURES OF BUFFALO BUBALUS BUBALIS BUBALIS GENETIC STRUCTURE ACCORDING TO COMPLEX GENOTYPES
Authors: Mokhnachova N.
Published: February 2023

Buffalo breeding is an ancient traditional branch of animal husbandry in Ukraine. Basically, "Ukrainian" buffaloes belong to the river buffalo (Bubalus bubalis) and are bred for milk and meat productivity. Polymorphism of genes of milk proteins and hormones will allow selection of buffaloes taking into account "desired" genotypes for economic and useful traits.

Taking into account the polygenic nature of the formation of milk and meat productivity, the purpose of the study was to reveal the features of the genetic structure of the "Ukrainian" buffalo based on complex genotypes - combinations of valuable genes that affect milk and meat productivity. The research was conducted on the basis of the laboratory of the Department of Animal Genetics and Biotechnology of the Institute of Animal Breeding and Genetics named after M.V. Teeth of the National Academy of Sciences using the PCR-PDRF method.

As a result of the analysis of the obtained results, complex genotypes were determined for three milk protein genes and two hormone genes. Carriers of the complex genotype CSN2A2A2/CSN3AA/βLGBB (61 individuals or 92%) and GHLL/TG5TT (66 individuals or 100%) predominate among the studied animals. If we evaluate the manifestation of complex genotypes in buffaloes in general, then the variant CSN2А2А2/CSN3АА/βLGВВ/GHLL/TG5ТТ was in the lead, which appeared in 61 studied animals, which accounted for 92% of the total number. The variant of the complex genotype for all studied genes, which carries the desired alleles - CSN2А2А2/CSN3АВ/βLGВВ/GHLL/TG5ТТ, is 8% of all tested animals.

The research results are of interest in the field of molecular genetic analysis of the buffalo genome, which is the source of specific properties. The studied important candidate genes associated with economically useful traits of milk and meat productivity can be used as markers in breeding programs.
Analysis of Mathematics Problem-Solving Ability of Junior High School Students in Emotional Intelligence
Authors: Sekaryanti Ridina , Darmayanti Rani , Choirudin Choirudin , Usmiyatun Usmiyatun , Kestoro Elli , Bausir Umar
Published: February 2023

This study aims to describe the problem-solving skills that students learn from emotional intelligence. This type of research is descriptive and qualitative. The instruments used are questionnaires, tests, and interviews. The questionnaire instrument was used to measure students' emotional intelligence. The test instrument was used to measure problem-solving skills, and interviews were conducted to learn more about problem-solving skills. The subjects of this study were 5 of 15 students from class VIII who were taken as a sample and then given an ability test and analysis based on Krulik and Rudnick's problem-solving steps. Subjects with high emotional intelligence can understand the context of the problem and represent the problem with pictures. Students can link between information, use appropriate strategies or steps, and relevant answers and conclusions. The subject with medium emotional intelligence is rewriting information on the problem using mathematical models and their language. Subjects can relate information, but not all students' answers are correct. Subjects with low emotional intelligence do not make representations or use clear problem-solving strategies. Subjects cannot relate information, so they do wrong calculations and only guess the answer.
Spline Technique for Second Type of Fredholm Integral Equations
Authors: Jaber Ahmed , Alrammahi Adil
Published: February 2023

Integral equation plays very important tools in a developed science like numerous troubles in an engineering and mechanical sciences . a cubic spline method renowned to begin with one powerful role to solve many functional equations like integral equations ,ordinary and partial differential equation .In our paper, a spline method is used to solve the problem linear integral equation of Fredholm. Integral function is turned to polynomial by basis of cubic spline . efficiency test of the proposed method , the comparison is check together with method of power series (least square method) and quadrature(nystrom) method,Laguerre,Legendre and Hermite series method . In MATLAB, all programs are written.
Strategy of proactive management of corporate culture of telecommunications enterprises
Authors:   State University of Telecommunications, Husyeva O. Yu.
Published: February 2023

The article states that the corporate culture of a modern telecommunications enterprise is a unique system of values, norms and rules of behavior that is shared by the entire enterprise team and determines both internal relations in the enterprise's workforce and relations with the external environment. The corporate culture of a telecommunications enterprise is directly related to the national culture, which acts as a socio-cultural environment for the development of the former. On the other hand, the corporate culture of the enterprise significantly affects the values and attitudes of the national culture. It is substantiated that in the process of forming a strategy for proactive management of the corporate culture of telecommunications enterprises, the primary task is to coordinate the organizational structure (first of all, its main functions) with the main functions of the corporate culture of the enterprises. And this, in our opinion, can be considered a key stage in the development of the company's strategy in general, and the strategy of corporate culture management, in particular. It was determined that the principles of developing a strategy for managing the corporate culture of telecommunications enterprises should necessarily be supplemented with the principle of practicability, which will ensure the biased nature of the strategy. The relationship between the stages of diagnosing corporate culture and determining the current level of development of the corporate culture of a telecommunications enterprise has been established. He showed that diagnostic tasks meet the criteria for determining the current level of cultural development.
Study of MIMO integration methods with fifth generation technologies
Authors:   State University of Telecommunications, Nikolayev Ye. Yu.
Published: February 2023

It is expected that with the general deployment of cellular 4G systems the new technologies would be required to satisfy the heightening demand for higher data transfer speeds and lower delays while retaining low deployment and maintenance costs. Multiple array technologies such as MIMO will play a key role in the forthcoming 5G and 6G systems. This paper will present several MIMO architectures and beamforming solutions for cm- and mm-wave 5G systems that work in the 20 (3-30 GHz) and 100 (30-300 GHz) spectrums. These spectrums provide much higher potential for small cell deployment with the use of large-scale antenna arrays due to the higher data capacity than that of the traditional cellular network systems. The mm-wave 5G ELA systems that will gradually replace LTE are going to have higher capacity with the use of Frequency Division Duplexing (FDD) because it enables the usage of uplink/downlink reciprocity in controlling the beamforming operation. It is, however, must be noted that MIMO technology has a key problem that consists of obtaining the necessary information needed to control the transmit and receive algorithms, the solution of which will be discussed in this paper. The array calibration errors that can cause severe performance losses are also going to be considered. The paper therefore will focus on the performance and implementation issues of different multi-user-MIMO (MU-MIMO) solutions for transmission in the cm- and mm-wave bands as well as key problems that follow the transmit MIMO processing for 5G systems. Performance evaluation of RF-based architecture and the traditional baseband transmission methodology for downlink MU-MIMO implementation as well as several transmission schemes to highlight the issues with MU-MIMO for 5G and the solutions to them will be provided.
The application of deep neural networks for the classification of the microstructure of cast iron products
Authors:   State University of Telecommunications, Fesenko M. A.
Published: February 2023

The possibilities of using artificial neural networks in the tasks of recognizing the microstructure of cast irons have been investigated. Convolutional neural networks work on the basis of filters that are concerned with recognizing certain characteristics of an image (for example, straight lines). A filter is a collection of kernels; sometimes a single kernel is used in a filter. A kernel is a common matrix of numbers called weights that are "trained" in order to search for certain characteristics in images. The filter moves along the image and determines if some desired characteristic is present in a particular part of it. To obtain an answer of this kind, a convolution operation is performed, which is the sum of the products of the filter elements and the matrix of input signals. If some desired characteristic is present in the image fragment, the convolution operation will produce a number with a relatively large value at the output. If the characteristic is absent, the output number will be small. Note that the number of filter channels must match the number of channels in the original image; only then will the convolution operation produce the desired effect. For example, if the original image consists of three channels, the filter must also have three channels. The structure (architecture) of the convolutional neural network was proposed and its ability to recognize the presence of structural components of the microstructure of cast iron was confirmed. The training of the network was performed on images of microslices of various types of cast iron, and positive results were achieved with an accuracy close to 85%. The results of the work indicate the prospects of using convolutional neural networks in the tasks of recognizing and classifying the microstructure of cast iron.
Determination of indicators of the effectiveness of complex signals of control channels of unmanned aircraft complexes
Authors:   State University of Telecommunications, Vyshnivskyy V. V.
Published: February 2023

The article discusses directions for improving the immunity of signals of control channels of unmanned aircraft complexes using complex signals. In order to implement the adaptation mode, it is proposed to use such devices for forming and processing signals of control channels that are rebuilt on command. This allows you to change: the parameters of a complex signal such as the base of a complex signal, the structure of the signal by pre-selecting it from the general ensemble, to perform a transition from one type of complex signal to another in accordance with the interference situation. These types of signal can be a discrete phase-manipulated signal, a discrete frequency-manipulated signal, i.e. with a pseudo-random frequency adjustment, or a combination thereof. It was determined that various types of complex signals have excellent capabilities in the fight against intentional jamming, which realize such properties as counteracting the suppression of the signal by jamming and concealment of its transmission to prevent parameter reconnaissance and eliminate the possibility of targeting jamming. To evaluate the effectiveness of complex signals, the selected indicator is the coefficient of suppression of interference by a complex signal based on the obtained analytical expressions for the values of the dispersion of the interference at the output of the correlation receiver after convolution of the complex signal. The second indicator of efficiency is the entropy hiddenness of a complex signal, which also varies for different types of signals. Such an indicator determines both energy and structural stealth, which significantly affects the time of exploration of the parameters of a complex signal. A conclusion was made about the expediency of using two parametric efficiency criteria, which comprehensively evaluates the main properties of a complex signal and allows to compare the types of signals for use in modems of the most effective control channels.
Sleep Quality and its Correlation with Glycosylated Hemoglobin Level among Patients with Type 2 Diabetes Mellitus
Authors: Vijayan Geethu , P. Deepa
Published: February 2023

Aim: The aim was to assess the sleep quality and its correlation with glycosylated hemoglobin level among patients with type 2 diabetes mellitus. Background: A systematic review and meta-analysis on impact of sleep amount and sleep quality on glycemic control, including 70,000 type 2 diabetes mellitus patients with 20 studies, revealed that there was 23% increase in HbA1c level in patients who reported insufficient sleep duration < 0.01) between sleep quality and glycosylated hemoglobin level among patients with type 2 diabetes mellitus. Out of seven domains in PSQI scale, six domains had positive correlation with glycosylated hemoglobin level. Conclusion: It can be concluded that it is imperative to assess sleep in all patients with type 2 diabetes mellitus to identify and address poor glycemic control and this can, in turn, help to improve the quality of life of patients with type 2 diabetes mellitus
Risk factors of congenital hydrocephalus: a case-control study in a lower-middle-income country (Egypt)
Authors: Ali Taher M. , Elwy Reem , Abdelrazik Bassante , Soliman Mohamed A. R. , Alsawy Mohamed F. , Abdullah Ahmed , Ahmed Eman , Zaki Shurouk , Salem Amany A. , Katri Mohamed A. , Elhamaky Mostafa , Kandel Haitham , Marei Ahmed A. , Menabbawy Ahmed Al , Ghoul Ahmed M. F. , Hafez Ahmed A. , Abdelbar Sarah , Moharam Reham Khaled , Hany Ayman , Hasanin Ahmed , Marx Sascha , Fleck Steffen , Baldauf Jörg , Schroeder Henry W. S. , Refaee Ehab El , Zohdi Ahmed
Published: February 2023

OBJECTIVE

Hydrocephalus is the most common brain disorder in children and is more common in low- and middle-income countries. Research output on hydrocephalus remains sparse and of lower quality in low- and middle-income countries compared with high-income countries. Most studies addressing hydrocephalus epidemiology are retrospective registry studies entailing their inherent limitations and biases. This study aimed to investigate child-related, parental, and socioeconomic risk factors of congenital hydrocephalus (CH) in a lower-middle-income country.

METHODS

An investigator-administered questionnaire was used to query parents of patients with CH and controls who visited the authors’ institution from 2017 until 2021. Patients with secondary hydrocephalus and children older than 2 years of age at diagnosis were excluded. Uni- and multivariable logistic regression was performed to identify the factors affecting CH development.

RESULTS

Seven hundred forty-one respondents (312 cases and 429 controls) were included in this study. The authors showed that maternal diseases during pregnancy (OR 3.12, 95% CI 1.96–5.03), a lack of periconceptional folic acid intake (OR 1.92, 95% CI 1.32–2.81), being a housewife (OR 2.66, 95% CI 1.51–4.87), paternal illiteracy (OR 1.65, 95% CI 1.02–2.69), parental consanguinity (OR 3.67, 95% CI 2.40–5.69), a history of other CNS conditions in the family (OR 2.93, 95% CI 1.24–7.34), conceiving a child via assisted fertilization techniques (OR 3.93, 95% CI 1.57–10.52), and the presence of other congenital anomalies (OR 2.57, 95% CI 1.38–4.87) were associated with an independent higher odds of a child having CH. Conversely, maternal hypertension (OR 0.22, 95% CI 0.09–0.48), older maternal age at delivery (OR 0.93, 95% CI 0.89–0.97), and having more abortions (OR 0.80, 95% CI 0.67–0.95) were negatively correlated with CH.

CONCLUSIONS

Multiple parental, socioeconomic, and child-related factors were associated with higher odds for developing CH. These results can be utilized to guide parental counseling and management, and direct social education and prevention programs.
Pilgrimage tourism in Uttarakhand Himalaya: Pilgrims’ inflows and trends
Authors: SATİ Vishwambhar Prasad
Published: February 2023

This article aims to describe pilgrimage tourism in the Uttarakhand Himalaya: pilgrims’ inflows and trends. Pilgrimages – highlands and valleys are the main centers of spiritual tourism in the Uttarakhand Himalaya. Data on pilgrims’ inflow in the major pilgrimage centers from 2000 to 2018 were gathered from the Uttarakhand Tourism Development Board, Dehradun. The pilgrims from Indian subcontinents and abroad have been visiting the pilgrimage centers for time immemorial. Inflows of pilgrims in the pilgrimage centers vary from the river valley pilgrimages to the highland pilgrimages. Haridwar, a valley pilgrimage, receives the highest inflow of pilgrims, which is more than 50% of the total pilgrims’ inflows. Meanwhile, Yamunotri, a highland pilgrimage has the lowest inflow of pilgrims from within and outside countries. The main reason for the change in the number of pilgrims in these highland and valley pilgrimages was the availability of infrastructural facilities in the form of transportation and accommodation. In terms of the trends of pilgrims’ inflows during the period, it is not uniform. The state of Uttarakhand is highly vulnerable to climate-induced calamities, which are highly catastrophic, and leads to land degradation and roadblocks. The pilgrimage season in the Himalaya falls during the monsoon season when happy rainfall occurs. High rainfall variability has led to changing the number of pilgrims. This study reveals that pilgrimage tourism has immense potential for the economic development of the Uttarakhand Himalaya if suitable tourism infrastructural facilities are provided.
Semantics of linguistic sign in the light of the asymmetrical dualism theory: Possible extensions
Authors: Zolyan Suren
Published: February 2023

We address a possible development of a semiotic theory based on the principle of asymmetric dualism proposed by S. Kartsevsky. We identify its differences from the Saussurean view of sign and demonstrate that, while Kartsevsky adopts the principle of differentiation, he supplements it with a dynamic understanding of intrasystem relations. This makes it possible to construct multidimensional semiotic models describing how new meanings are generated due to the sign’s asymmetric dualism. We consider the semantics of linguistic sign as a structure in the state of dynamic equilibrium. Thus, we clarify Kartsevsky’s concept of transposition, supplementing it with a concept of disposition (situation of the initial semiosis).
A model-based simulator for smart homes: Enabling reproducibility and standardization
Authors: Veneruso Silvestro , Bertrand Yannis , Leotta Francesco , Serral Estefanía , Mecella Massimo
Published: February 2023

Scientific contributions in the area of smart environments cover different tasks of ambient intelligence including action and activity recognition, anomaly detection, and automated enactment. Algorithms solving these tasks need to be validated against sensor logs of smart environments. In order to acquire these datasets, expensive facilities are needed, containing sensors, actuators and an acquisition infrastructure. Even though several freely accessible datasets are available, each of them features a very specific set of sensors, which can limit the introduction of novel approaches that could benefit of particular types of sensors and deployment layouts. Additionally, acquiring a dataset requires a considerable human effort for labeling purposes, thus further limiting the creation of new and general ones. In this paper, we propose a model-based simulator capable to generate synthetic datasets that emulate the characteristics of the vast majority of real datasets while granting trustworthy evaluation results. The datasets are generated using the eXtensible Event Stream – XES international standard commonly used for representing event logs. Finally, the datasets produced by the simulator are validated against two real scenario’s logs from the literature.
Current aspects of multimodal ultrasound liver diagnostics using contrast-enhanced ultrasonography (CEUS), fat evaluation, fibrosis assessment, and perfusion analysis – An update
Authors: Jung E.M. , Dong Yi , Jung F.
Published: February 2023

Current ultrasound multifrequency probes allow both improved detail resolution and depth of penetration when examining the liver. Also, new developments in vascular diagnostics, elastography with fibrosis assessment, evaluation of possible steatosis, and parametric and time intensity curve (TIC) analysis of dynamic microvascularization of the liver with contrast-enhanced ultrasound sonography (CEUS) complement ultrasound-guided diagnostics. State-of-the-art high-resolution technology includes a high frame rate (HiFR) mode for CEUS, fast shear wave measurements with the sound touch quantify (STQ) mode, artifact-free flow detection using HR flow and glazing flow in combination with a special flow-adapted imaging (Ultra Micro Angiography, UMA) and additionally different assessments of possible fatty liver (UltraSound ATtenuation Imaging Technology, USAT). In 50 cases with focal liver lesions, a multimodal liver diagnosis was performed with a still new high-performance ultrasound system as part of the clarification of questions from the university liver consultation and tumor outpatient clinic.
How Electronic CNY Can Leverage the Development of Small and Micro Enterprises in China
Authors: Zhao Jie
Published: February 2023

In recent years, China’s digital economy has developed rapidly with the scale continuously growing in proportion to GDP. In the context of this development and expansion, Electronic CNY (e- CNY) has also developed in an orderly and stable manner, and the usage of e- CNY has comprehensively promoted the efficiency of the digital economy. With an emphasis on small and micro enterprises as the key component of the digital economy, this paper analyzes the special characteristics of small and micro enterprises in terms of financial situation and pattern of currency transactions and takes a deep dive into the scenario of financial difficulties in the development of small and micro enterprises. give suggestions to small and micro enterprises on how to leverage the method of financial assistance to accelerate and improve the operational efficiency of small and micro enterprises, expand the scale and profits of enterprises, and enhance the market competitiveness of small and micro enterprises in the digital age. This paper proposes that with the promotion and use of e- CNY, small and micro enterprises can embark on the development path by using various information tools, accelerate technological progress and industrial upgrading, realize large-scale operations, and eventually learn to manage enterprises with digital thinking in the wave of the digital era, gradually realize the digital transformation of enterprises, and finalize help the country’s economic transformation with the digital transformation of small and micro enterprises.
Mobile phone use for farm-related activities by ethnic minority farmers during the Covid-19 pandemic in Quang Tri Province, Central Vietnam
Authors: Uy Tran Cao , Ha Hoang Dung , Truyen Nguyen Ngoc , Chung Nguyen Van , Phuoc Duong Ngoc , Nam Le Van , Phuong Le Thi Hong , Thuyet Cao Thi
Published: February 2023

This study explores the use of mobile phones for farm-related activities of ethnic minority farmers in Quang Tri province, Central Vietnam, in the context of the COVID-19 pandemic. A random sampling strategy was used to select 180 ethnic farmers, different by gender, age, and education level, to interview using a semi-structured questionnaire. Results indicate ethnic minority farmers used mobile phones for various purposes related to agriculture through phone calls and social media platforms (Facebook, Zalo, YouTube, etc.). Mobile phones have become essential for farmers to access and exchange market information, receive weather information, get extension advisories, learn new farming practices and technologies, contact and buy farm inputs, etc. There was a statistically significant association between gender, age, and education level with the purposes of mobile phone usage. Young and highly educated farmers should be prioritized in digital service development strategies since they are the pioneers who will be the leading groups of farmers in terms of using mobile phones for farm-related activities. Furthermore, the significance of female farmers’ mobile phone use should not be overlooked, as when women have access to these devices, they can use them for various farming tasks to improve their agricultural production.
RUL prediction for AECs of power electronic systems based on machine learning and error compensation
Authors: Sun Quan , Yang Lichen , Li Hongsheng , Sun Guodong
Published: February 2023

Aluminum electrolytic capacitor (AEC) is one of the most pivotal components that affect the reliability of power electronic systems. The electrolyte evaporation and dielectric degradation are the two main reasons for the parametric degradation of AEC. Remaining useful life (RUL) prediction for AEC is beneficial for obtaining the health state in advance and making reasonable maintenance strategies before the system suffers shutdown malfunction, which can increase the reliability and safety. In this paper, a hybrid machine learning (ML) model with GRU and PSO-SVR is proposed to realize the RUL prediction of AEC. The GRU is used for the recursive multi-step prediction of AEC to model the times series of AEC, SVR optimized by PSO for hyper-parameters is applied for error compensation caused by recursive GRU. Finally, the proposed model is validated by two kinds of data sets with accelerated degradation experiments. Compared with the other methods, the results show that the proposed scheme can obtain greater prediction performance index of RUL under different prediction time points, which can support the technology of health management for power electronic system.
Dual attentive graph convolutional networks for cross-domain recommendation
Authors: Zhang Yu , Liu Fan , Hu Yupeng , Li Xiaoli , Dong Xiangjun , Cheng Zhiyong
Published: February 2023

Cross-domain recommendation aims to alleviate the target domain’s data sparsity problem by leveraging source domain knowledge. Existing GCN-based approaches perform graph convolution operations in each domain separately. However, the direct effect of item feature and topological structure information in the source domain are neglected for user preference modeling in the target domain. In this paper, we propose a novel Dual Attentive Graph Convolutional Network for Cross-Domain Recommendation (DAG4CDR). Specifically, we integrate the source and target domain’s interaction data to construct a unified user-item bipartite graph and then perform GCN propagation on the graph to learn user and item embeddings. Over the unified graph, the interaction data from both domains can be leveraged to learn user and item embeddings via information propagation. In the embedding aggregation phase, the messages passed from different items of two domains to users are weighted by a designed dual attention mechanism, which considers the contributions of different items from both node- and domain-level. We conducted extensive experiments to validate the effectiveness of our method on several publicly available datasets, and the results demonstrate the superiority of our model on preference modeling for both common and non-common users.
A secure framework for medical image by integrating watermarking and encryption through fuzzy based ROI selection
Authors: Shamia D. , Balasamy K. , Suganyadevi S.
Published: February 2023

Security, secrecy, and authenticity problems have arisen as a result of the widespread sharing of medical images in social media. Copyright protection for online photo sharing is becoming a must. In this research, a cutting-edge method for embedding encrypted watermarks into medical images is proposed. The proposed method makes use of fuzzy-based ROI selection and wavelet-transformation to accomplish this. In the first step of the process, a fuzzy search is performed on the original picture to locate relevant places using the center region of interest (RoI) and the radial line along the final intensity. The suggested method takes a digital picture and divides it into 4×4 non-overlapping blocks, with the intent of selecting low information chunks for embedding in order to maximize invisibility. By changing the coefficients, a single watermark bit may be inserted into both the left and right singular SVD matrices. The absence of false positives means the suggested technique can successfully integrate a large amount of data. Watermarks are encrypted using a pseudorandom key before being embedded. Discrete wavelet transform saliency map, block mean method, and cosine functions are used to construct an adaptively-generated pseudo-random key from the cover picture. Images uploaded to social media platforms must have a high degree of invisibility and durability. These watermarking features, however, come with a price. The optimal scaling factor is used to strike a balance between the two in the proposed system. Furthermore, the suggested scheme’s higher performance is confirmed by comparison with the latest state-of-the-art systems.
An evolutionary ensemble model based on GA for epidemic transmission prediction
Authors: Li Xiaoning , Yu Qiancheng , Yang Yufan , Tang Chen , Wang Jinyun
Published: February 2023

This paper proposes an evolutionary ensemble model based on a Genetic Algorithm (GAEEM) to predict the transmission trend of infectious diseases based on ensemble again and prediction again. The model utilizes the strong global optimization capability of GA for tuning the ensemble structure. Compared with the traditional ensemble learning model, GAEEM has three main advantages: 1) It is set to address the problems of information leakage in the traditional Stacking strategy and overfitting in the Blending strategy. 2) It uses a GA to optimize the combination of base learners and determine the sub. 3) The feature dimension of the data used in this layer is extended based on the optimal base learner combination prediction information data, which can reduce the risk of underfitting and increase prediction accuracy. The experimental results show that the R2 performance of the model in the six cities data set is higher than all the comparison models by 0.18 on average. The MAE and MSE are lower than 42.98 and 42,689.72 on average. The fitting performance is more stable in each data set and shows good generalization, which can predict the epidemic spread trend of each city more accurately.
A hybrid generalized TODIM based risk prioritization method for failure mode and effect analysis with linguistic Z-numbers
Authors: Hu Limei
Published: February 2023

The traditional failure mode and effect analysis (FMEA), as an effective risk analysis technique, has several limitations in the uncertainty modeling and the weights determination of the risk indicators. This paper aims to propose a hybrid risk prioritization method simultaneously considering the characteristics of the reliability associated with the FMEA team members’ evaluation information and their psychological behavior to enhance the performance of the traditional FMEA model. The hybrid risk prioritization method is developed based on the generalized TODIM method and the weighted entropy measure with the linguistic Z-numbers (LZNs). First, the LZNs are adopted to depict the FMEA team members’ cognition information and the reliability of these information. Second, a weighted entropy measure based on the fuzzy entropy and the LZNs is developed to obtain the risk indicators’ weights. Finally, the generalized TODIM method with the LZNs is constructed to obtain the risk priority orders of failure modes, which can effectively simulate the FMEA team members’ psychological character. The applicability and effectiveness of the proposed risk prioritization method is validated through an illustrative example of an integrated steel plant. The results of sensitivity analysis and comparative analysis indicate that the proposed hybrid risk prioritization method is effective and valid, and can get more accurate and practical risk ranking results to help enterprises formulate accurate risk prevention and control plans.
Review of entity relation extraction
Authors: Tuo Meimei , Yang Wenzhong
Published: February 2023

In today’s big data era, there are a large number of unstructured information resources on the web. Natural language processing researchers have been working hard to figure out how to extract useful information from them. Entity Relation Extraction is a crucial step in Information Extraction and provides technical support for Knowledge Graphs, Intelligent Q&A systems and Intelligent Retrieval. In this paper, we present a comprehensive history of entity relation extraction and introduce the relation extraction methods based on Machine Mearning, the relation extraction methods based on Deep Learning and the relation extraction methods for open domains. Then we summarize the characteristics and representative results of each type of method and introduce the common datasets and evaluation systems for entity relation extraction. Finally, we summarize current entity relation extraction methods and look forward to future technologies.
Prescription of transdermal patches in Colombia: A real-world evidence study
Authors: Valladales-Restrepo Luis Fernando , Gaviria-Mendoza Andrés , Londoño-Serna María José , Ospina-Cano Juan Alberto , Giraldo-Giraldo Claudia , Machado-Duque Manuel Enrique , Machado-Alba Jorge Enrique
Published: February 2023

BACKGROUND: Transdermal drug delivery has contributed positively to medical practice. However, prescriptions that do not meet minimum quality criteria and medication errors are common. OBJECTIVE: The objective was to determine how transdermal patches are being prescribed to a group of patients in Colombia, the compliance with established requirements of such prescriptions and the comparisons between correct and incorrect prescriptions. METHODS: This was a cross-sectional study of prescriptions for transdermal patches using data from a population-based drug dispensing database between December 1 and 31, 2019. Medical prescriptions were randomly reviewed, establishing whether the drugs were appropriately prescribed by the manufacturer’s indications or national regulations. Descriptive and bivariate analysis was performed. RESULTS: A total of 415 prescriptions were reviewed; the prescription was provided to 412 patients with a median age of 76.9 years, and 63.3% were women. Rivastigmine was the most prescribed transdermal patch (57.8%). 66.3% of all prescriptions did not meet the minimum appropriate prescribing standards, especially those for rivastigmine (97.1%). The 7.0% of all prescriptions had posology errors, especially prescriptions for buprenorphine (43.8%). Older patients (84.4% vs 52.5%), from the Pacific region (34.4% vs 23.7%), with manual formulations (22.1% vs 0.8%), dementia (49.0% vs 6.8%), and in management with lipid-lowering drugs (41.8% vs 30.5%), presented incorrect transdermal patch formulations more frequently (p < 0.05). CONCLUSION: The high proportion of inappropriately prescribed transdermal patches should draw the attention of those responsible for health care to improve the training of physicians and create prescription quality verification systems.
vHIT results with the synapsis system according to clinicians’ dominant hand use
Authors: Emekci Tuğba , Dündar Mehmet Akif , Kirazlı Gülce , İnceoğlu Feyza , Cengiz Deniz Uğur , Kilinç Fatma Men , Karababa Ercan , Muzaç Seray , Kaya Şeyda , Arbağ Hamdi
Published: February 2023

BACKGROUND/OBJECTIVE: There exists limited information in the literature on dominant hand preference in relation with vHIT applications. The present study aimed to examine the relationship between the clinician’s dominant use of right- or left-hand and vHIT results. METHODS: A Synapsys vHIT Ulmer device was used in the study. The tests were administered by 3 clinicians experienced in vHIT, 2 of whom were right-handed and 1 left-handed. The test was applied to the 94 participants three times, one week apart. RESULTS: In this study, the correlation between right-handed clinicians and left-handed clinicians was examined, and in all SCCs, namely RA, LA, RL, LL, RP and LP, a moderate positive significant correlation was found between right-handed1 and right-handed2, between right-handed1 and left-handed, and between right-handed2 and left-handed. CONCLUSIONS: In this study, these findings suggested that measures were reliable across test sessions regardless of hand dominancy (right or left). Based on the vHIT results we obtained with three different right- or left-handed clinicians, the clinician should evaluate the results according to the dominant side.