bluuebunny/crossref_metadata_2025_split huggingface dataset:
EXPERIMENTAL STUDIES OF INFORMATION SIGNAL-TO-RESISTANCE CONVERTER FOR AUTOMATIC CONTROL SYSTEM
Authors: Pivtorak Diana , Pavlovsky Oleksii , Tsybulnyk Serhii 
Published: July 2022

Potentiometric sensors are widely used in the construction of automatic and automated process control systems. In potentiometric sensors, resistance is the output signal and its magnitudes depend on the magnitude of the input signal. voltage, current, digital code, angle of rotation, displacement or other signal is usually used as the input signal. In practice, the task of simulating of the signal which coming from the built-in potentiometric sensor is often appeared. An additional potentiometric sensor can be used to simulate the signal of the built-in sensor that allows setting the required resistance magnitude by changing any external parameter.
The model of the voltage-to-resistance converter is made. This model allows simulating the potentiometric state sensor of the controlled system. The experimental determination of its transfer characteristic at different ambient temperatures is carried out. This model is based on a two-channel conversion circuit, which includes a source of optical radiation and two photoresistors optically connected to it. One of photoresistors is connected to a current stabilizer, while the voltage on it is analyzed by a tracking circuit that changes the brightness of the optical radiation source according to the magnitude of the control voltage. The transfer characteristic of the converter in the initial section has an insensitivity zone, following by a rectilinear section. Within the insensitivity zone, a change in input voltage does not change the output resistance. The magnitude of the insensitivity zone is determined by the maximum voltage on the incandescent lamp that determines its brightness, as well as the minimum possible resistance of the using illuminated photoresistor. Within the rectilinear section, the output resistance of the converter is linearly related to the magnitude of the input voltage. The conversion error does not exceed 0.6 % at an ambient temperature of 20° C. When the temperature decreases to -20° С, the conversion error increases to 7 %, which is due to differences in temperature errors of the photoresistors using in the model.
COMPENSATION OF ROBOT-MANIPULATOR POSITIONING ERRORS IN WORK SPACE OF TECHNOLOGICAL EQUIPMENT
Authors: Sokolova Olena , Visloukh Serhii , Antoniuk Victor , Klotchko Tatiana 
Published: July 2022

Industrial robots are widely used in modern enterprises. Although high repeatability of industrial robots can satisfy most process needs, their low absolute positioning accuracy in the workspace cannot meet the requirements of some high-precision tasks. An example, is that the action of a robot relies on real-time sample data rather than simulated data. The low absolute robot’s accuracy to positioning leads to the fact that work productivity is significantly different from what is expected. Therefore, the purpose of this paper is to analyze the developed program to increase the accuracy of robot-manipulator’s positioning in real time under the compilation with the programs of integration automation projects.
The paper considers the deformation of the links, which is one of the robot manipulator’s production errors. The effect of applied forces on the connections and links can affect the deformation of the robot posture in different ways, and these changes are difficult to account for using linear algebra, so recently the demand for "offline programming" has increased, which will allow you to simulate the work of a robot manipulator with a change in time and will have a reasonable price. Therefore, the application of artificial neural networks based on optimization algorithms to compensate for absolute error was considered. After analyzing the existing technical solutions, a genetic algorithm was chosen that satisfies the conditions of ease of implementation, clarity, lack of redundant calculations, flexibility to the data types used. The paper also presents a general scheme of algorithms for optimizing the parameters of artificial neural networks and an iterative process of finding optimal values of hyperparameters using a genetic algorithm.
After choosing the modelling method and optimization algorithm, the developed algorithm on an open data set was tested. The obtained results showed an increase in accuracy from 22 to 77% (positioning accuracy without the use of compensation methods). Therefore, this article describes a method of increasing the absolute accuracy of positioning under the condition of compilation with programs of integration automation projects. The result is a program based on the above method.
DETALIZATION OF RECOGNITION ALGORITHMS IN DIAGNOSING PATIENTS AND EVALUATING THEIR EFFECTIVENESS
Authors: Shulyak Oleksandr , Mnevets Anton 
Published: July 2022

The issues of detailing recognition algorithms in order to increase the validity of their solutions in diagnosing patients are considered using the example of processing nephrology data. The training of algorithms with a teacher is implied. Procedures for detailing complexes of clinical signs and criteria for comparing such complexes in decision-making are proposed. This means dividing these objects into elements, extracting additional information for them from a priori and current data, and taking them into account in algorithms. Research in the work was focused on the development of software tools for detecting and evaluating additional reserves and opportunities for improving the quality of decisions of recognition procedures by extracting additional useful information from a priori and current data and using them in the process of detailing decision-making procedures. On a specific algorithm, various approaches to such detailing and to the study of its effectiveness were analyzed. Such detailing can be built on the basis of using the experience of clinical practice of observation of patients and their diagnosis in the form of training samples of symptom complexes and (or) observed signals in clinical cases with reliably confirmed diagnoses in the relevant databases.
Detailing these algorithmic procedures can lead to the emergence of a multi variance of possible solutions for differently detailed algorithms and require the use of additional procedures for generating a generalizing conclusion based on the results of their mutual consultation. The order and results of detailing are demonstrated in the MatLab environment on two modifications of the proposed algorithm. The introduction reveals the relevance and content of the research. Section 1 reveals the composition of a priori patient data in demo examples and the information that is extracted from them at the training stage. Section 2 proposes two modifications of the algorithm to detalize it. Section 3 proposes software procedures for the statistical evaluation of the performance of the detalization of the algorithms under study. Section 4 describes the refinement of algorithms by introducing weights into the decision criterion, taking into account the spread of values of clinical signs. Section 5 demonstrates the detalization of the algorithms taking into account the information content of the features. The conclusions summarize the results of the work. In general, they are positive.
RESEARCH OF THE POSSIBILITIES OF THE C# PROGRAMMING LANGUAGE FOR CREATING CYBERSECURITY ANALYSIS SOFTWARE IN COMPUTER NETWORKS AND COMPUTER-INTEGRATED SYSTEMS
Authors: Pashynskykh Vladyslav , Meleshko Yelyzaveta , Yakymenko Mykola , Bashchenko Dmytro , Tkachuk Roman 
Published: July 2022

The object of research in the article are the tools and capabilities of the C# programming language for the implementation of cybersecurity analysis software in local computer networks and computer-integrated systems. The relevance of the study is due to the importance of information security of computer and computer-integrated systems in government, military-industrial complex, private business etc., and due to the importance of training cybersecurity professionals in higher education to consider teaching examples in popular programming languages. The goal of the work is to research the possibilities of the C# programming language for the development of software that analyzes cybersecurity in local computer networks and computer-integrated systems. The tasks to be solved are: to develop software for scanning network device ports in computer networks and computer-integrated systems for information security audit, using tools and libraries of the C# programming language, to research the benefits and possibilities of using this programming language for this task. Research methods: theory of computer networks, object-oriented programming, theory of algorithms and data structures, theory of software testing. Conclusions. In this paper the possibilities and advantages of the C# programming language for developing cybersecurity analysis software for computer and computer-integrated systems were explored. In the course of work software that analyzes information security in local computer networks and computer-integrated systems was developed. This software can be used for educational purposes in learning the C# programming language and cybersecurity of computer systems. The developed software has the potential to be further improved and applied in various fields to test the cybersecurity of local computer networks and computer-integrated technologies.
Genetic Mechanism of Geothermal Resources in the Qutan and Reshuizhou Geothermal Fields, Jiangxi Province, China: Evidence from Hydrogeochemical Characteristics of Geothermal Water
Authors: Liao Yuzhong , Liu Yanguang , Liu Feng , Lu Chuan , Zhao Gui 
Published: July 2022

Abstract
The hydrogeochemical characteristics and isotopic analyses of geothermal water are effective in the genetic study of a geothermal system. This study systematically investigated the geochemical and isotopic compositions of the geothermal water in the Qutan and Reshuizhou geothermal fields. The geothermal water in these two fields is of HCO3 (·F)-Ca·Na type and has undergone protracted water runoff and deep thermal cycle. Based on the mineral-water solubility equilibrium, the reservoir in the Qutan geothermal field has a temperature of 60–74°C and a depth range of 770–1003 m. The geothermal water in the Reshuizhou geothermal field has been mixed with cold water, which accounts for 58% in weight. The reservoir in the Reshuizhou geothermal field has a temperature range of 131-150°C and a depth range of 1953–2287 m. The geothermal water in the Qutan and Reshuizhou geothermal fields have 14C ages of 8251–7961 BC and 3514–2254 BC, respectively, which are consistent with the result of the 3H isotopic analyses. When recharging and transiting to geothermal water, the meteoric water underwent changes in geochemical compositions, which were dominantly controlled by water-rock interactions, including the precipitation of chalcedony and muscovite and the dissolution of calcite, fluorite, K-feldspar, and albite. In the Reshuizhou geothermal field, the hydrogeochemical compositions of the geothermal water are affected by cold water mixing.
Design and Analysis of Metamaterial Inspired Multiband Antenna for 5G Sub-Six GHz NR Frequency Bands and wireless applications
Authors: Saraswat Ritesh Kumar , Kumar Mithilesh 
Published: July 2022

Abstract
A metamterial triple band antenna for 5G New Radio portable devices and wireless applications WLAN/WiMAX/X-band is presented in this article. A modified Split Ring Resonator (SRR) based slotted octagonal shaped radiator is proposed to achieve triple-band characteristics for 5G Sub-6 GHz NR frequency bands n7/n38/n41/n74/n78, WiMAX (3.5 GHz), WLAN (5.8) and X-band (8-12 GHz) wireless applications. Proposed structure has the electrical dimension of 0.414 λ × 0.253 λ × 0.0184 λ (36 × 22 × 1.6 mm3) at 3.45 GHz and printed on FR-4 epoxy substrate. Antenna represents good impedance matching with 10 dB impedance bandwidth for resonating bands are 47.20% (2.46 - 3.98 GHz), 35.16% (4.97 - 7.09 GHz), and 65.66% (7.58 -14.99 GHz). In the operating bands, antenna attain the peak gain values of 2.56 dBi, 3.47 dBi, and 4.23 dBi at wireless standards WLAN, WiMAX, and X-band respectively. Antenna achieve optimum radiation efficiency of 83.48% and the average efficiency of more than 70% for all the resonant modes. The comparison of the simulated and measured results shows a good agreement.
Laparoscopic Aspiration for Fat-Rich Renal Angiomyolipoma: A Retrospective Analysis of Chinese Patients at a Single-Institute
Authors: Xie Jianwei , Luo Guangcheng , Wang Xiaotian , Li Jiaxing , Yin Bo 
Published: July 2022

Abstract
Background: This retrospective analysis was aimed at evaluating the clinical data of patients with renal angiomyolipoma who were treated by laparoscopic aspiration in our institution and summarizing our experience of preliminary surgery at a single center.Methods: We retrospectively analyzed clinical data of 13 female patients with renal angiomyolipoma who were admitted to and treated in Shengjing hospital from January 2016 to December 2019. We analyzed the patients’ preoperative, intraoperative, and postoperative data and performed renal function tests and CT during the follow-up.Results: Postoperative pathologic tests revealed renal angiomyolipoma in all patients. Twelve patients were successfully treated with laparoscopic aspiration, while one underwent laparoscopic partial nephrectomy half-way due to the small amount of fat in the tumor. The average maximum tumor diameter was 4.4 cm (range: 1.6–9.8). The average operation duration, blood loss, and postoperative hospitalization duration were 112.2 minutes (range: 60–180), 104.6 ml (range: 10–200), and 6.2 days (range: 5–10), respectively. Preoperative and postoperative creatinine levels were below the upper limit of normal values, with the mean preoperative and postoperative creatinine levels were 0.56 mg/dl (range: 0.44–0.98) and 0.57 mg/dl (range: 0.46–0.95), respectively. No postoperative complications or recurrence occurred during the average follow-up of 27.1 months.Conclusion: Our preliminary results indicate laparoscopic aspiration is safe, effective, and minimally invasive for treating renal angiomyolipoma, particularly for the rich-fat type.
Testing effects of partner support and use of oral contraception during relationship formation on severity of nausea and vomiting in pregnancy
Authors: Fiurašková Kateřina , Havlíček Jan , Kaňková Šárka , Klapilová Kateřina , Roberts S. Craig 
Published: July 2022

Abstract
Background: A recent study focusing on dietary predictors of nausea and vomiting in pregnancy (NVP) found that women with higher levels of partner support, and those who had use oral contraception (OC) when they met the father, both tended to report less severe NVP compared with previous non-users or those with less supportive partners. We provide a further test of these factors, using a large sample of women from four countries who retrospectively scored their NVP experience during their first pregnancy.Method: We recruited women who had at least one child to participate in a retrospective online survey. In total 2321 women completed our questionnaire including items on demographics, hormonal contraception, NVP, and partner support. We used ANCOVA and path analysis to analyse our data.Results: Women who had used OC when they met the father of their first child tended to report lower levels of NVP, but the effect size was small and did not survive adding the participant’s country to the model. There was no relationship between NVP and partner support in couples who were still together, but there was a significant effect among those couples that had since separated: women whose ex-partner had been relatively supportive reported less severe NVP. Additional analyses showed that women who were older during their first pregnancy reported less severe NVP, and there were also robust differences between countries. Conclusion: These results provide further evidence for multiple influences on women’s experience of NVP symptoms, including levels of perceived partner support.
Learning in a real-life escape room: an explorative study on the supervisory relationship in GP residency during the COVID-19 pandemic
Authors: Meljes Iris , Slootweg Irene , Nierkens Vera , de Bogaard Maartje van , Kramer Anneke 
Published: July 2022

Abstract
Background: The expert-novice dynamic in the relationship between supervisors and residents plays a prominent role in medical residents’ workplace learning. However, during the Covid-19 outbreak, both supervisors and residents faced unprecedented circumstances. In this study we explored the characteristics of the supervisory relationship in GP-residency during the disruptive pandemic to enhance our understanding of the changed dynamics between supervisors and residents. This is important, considering the new topics such as e-health and sustainable health in medical education.Methods: We conducted a qualitative study with a constructivist approach that included 7 GP residents at the start of their second placement, and their 10 supervisors. Participants came from a University Medical Centre in the Netherlands. Semi-structured interviews were held between September 2020 and February 2021. The subjects were interviewed individually (1st round) about what they had learned regarding COVID-19, and in supervisory pairs (2nd round) about how they had learned. Data were iteratively analysed; thematic analysis in round 1 and template analysis in round 2.Results: We identified notable changes in the supervisor-resident relationship attributable to COVID-19. Supervisors and residents were confronted with an all-encompassing uncertainty in the workplace, and disruptive changes in patient care and learning opportunities for residents. Supervisors and residents addressed emerging workplace challenges through three types of collaboration, 1) ‘getting the job done’; 2) residents’ learning; and 3) collective learning. Each type had a different focus and distinctive characteristics of the supervisory relationship. Conclusion: The outbreak of the pandemic caused an overwhelming sense of uncertainty. Under these circumstances learning did not only occur one-on -one, between resident and supervisor, but also with the entire team in collective learning. We propose stimulating collective team learning when GPs, residents, and other team members face new disruptive challenges in the field of medicine.
The effect of Pediococcus acidilactici probiotics supplementation in the feed of Nile Tilapia (Oreochromis niloticus) on water quality, growth performance, Hematological parameters, antioxidants, immunological responses, enzymatic Activity, and histology.
Authors: Eissa El-Sayed Hemdan , Alaryani Fatima S. , Khattab Marwa S. , Elfeky Amal , Eissa Moaheda E.H. , AbouelFadl Khaled Youssef 
Published: July 2022

Abstract
The effect of adding lactic acid bacteria (Pediococcus acidilactici) to the diet on water quality, feed utilization, growth, body composition, Hematological parameters, intestinal and liver histology of Nile tilapia, haemato-biochemical parameters, antioxidants, immunological responses, and Enzymatic Activity was investigated. Fish was distributed into Four groups; the control group (T0), T1 group (2.0 g), T2 group (2.5 g), and T3 group (3.0 g) of Pediococcus acidilactici per kg of diet. 25% of Water was changed daily and feed with 31% protein was added three times daily for 56 days. In probiotics-treated groups, growth performance, feed utilization, and fish biomass increased significantly compared to control. The biochemical and immunity parameters (Amylase, Lipase, and Protease activity) and villi height were significantly improved in probiotics groups. In conclusion, adding probiotics to fish diet improved all evaluated parameters
Substitution of fish meal with Madagascar cockroach (Gromphadorhina portentosa) meal in diets for juvenile Nile tilapia (Oreochromis niloticus): Effects on growth, nutrient assimilation and nitrogen turnover rates.
Authors: García-Pérez Oscar Daniel , Sanchez-Casas Rosa María , Moreno-Degollado Gustavo , Munguía Carlos Alberto García , Villarreal-Cavazos David Alonso , Gamboa-Delgado Julián 
Published: July 2022

Abstract
Among the wide variety of alternative ingredients aimed to substitute fish meal in aquafeeds, insect meals have been recently proposed as novel, nutritionally good dietary components. In the present study, early juveniles of Nile tilapia (Oreochromis niloticus) were fed five isoproteic and isoenergetic experimental diets formulated with varying dietary levels of Madagascar cockroach meal substituting fishmeal on a dietary protein basis (0, 25, 50, 75 and 100%). Diets were supplied for 29 days to eventually compare growth parameters among treatments and to estimate the relative assimilation of the dietary nitrogen supplied by fishmeal and insect meal. Nitrogen stable isotope analyses were applied to diets and fish muscle tissue to explore the isotopic changes elicited by the experimental ingredients and to estimate the nutritional contributions of these ingredients to fish growth. At the end of the bioassay no statistical differences were detected in final mean weight, specific growth and survival rates among treatments. Isotopic changes over time allowed calculating the nitrogen turnover rate in muscle tissue and the time required to reach isotopic equilibrium. The relative proportions of dietary nitrogen supplied by insect and fish meal were similar to the established dietary proportions. Cockroach meal in all mixed diets supplied relatively high proportions of dietary nitrogen (from 16 to 69%) to the biosynthesis of fish muscle tissue. Due to the high growth promoted by the diets, the nitrogen turnover rates in muscle tissue were short and ranged from 4.7 to 6.2 d, except in diet containing 100% cockroach meal (7.8 d).
Nutritional Quality and Labelling of Processed Foods Sold in the Kingdom of Tonga: A Pilot Study
Authors: Buechel Claire , Knight-Agarwal Catherine , Minehan Michelle , Pasikala Esiteli , Ferguson Maddie 
Published: July 2022

Abstract

Background: Small islands in the Pacific such as Tonga, have largely replaced their diet of locally sourced foods with imported, highly processed foods. This has contributed to a significant increase in prevalence of noncommunicable disease. The present pilot study aims to identify labelling quality, nutrient content, and availability of ready-to-eat processed food items sold in Tonga. Methods: An inventory of packaged snack foods was taken in three supermarkets in the downtown area of the country’s capital, Nuku’alofa. Health Star Ratings (HSR), country of origin, ingredient lists, and nutrient panel labelling were sourced from front of labels or online credible sources. Results: Out of food items identified, only 50% had legible nutrient panel information. Only 14% of products used the HSR scheme. Non-dairy beverages and confectionary formed the largest proportion of food items. The majority of items were high in sugar, total fat, saturated fat, and/or sodium. Trans-fats and dietary fibre were the most commonly unreported nutrients. Conclusions: The findings of this pilot study provide important evidence regarding the need to improve food labelling regulation in Tonga. Access to front of package nutrition information will help Tongan consumers make informed decisions regarding the processed food they purchase which, in turn, may help improve health outcomes.