bluuebunny/crossref_metadata_2025 huggingface dataset:
Piezoelectric Gas Sensors with Polycomposite Coatings in Biomedical Application
Authors: Shuba Anastasiia , Kuchmenko Tatiana , Umarkhanov Ruslan
Published: November 2022

When developing methods for diagnosing pathologies and diseases in humans and animals using electronic noses, one of the important trends is the miniaturization of devices, while maintaining significant information for diagnostic purposes. A combination of several sorbents that have unique sorption features of volatile organic compounds (VOCs) on one transducer is a possible option for the miniaturization of sensors for gas analysis. This paper considers the principles of creating polycomposite coatings on the electrodes of piezoelectric quartz resonators, including the choice of sorbents for the formation of sensitive layers, determining the mass and geometry of the formation of sensitive layers in a polycomposite coating, as well as an algorithm for processing the output data of sensors to obtain maximum information about the qualitative and quantitative composition of the gas phase. A comparative analysis of the efficiency and kinetics of VOC vapor sorption by sensors with polycomposite coatings and a set of sensors with relevant single coatings has been carried out. Regression equations have been obtained to predict the molar-specific sensitivity of the microbalance of VOC vapors by a sensor with a polycomposite coating of three sorbents with an error of 5–15% based on the results of the microbalance of VOC vapors on single coatings. A method for creating “visual prints” of sensor signals with polycomposite coatings is shown, with results comparable to those from an array of sensors. The parameters Aij∑ are proposed for obtaining information on the qualitative composition of the gas phase when processing the output data of sensors with polycomposite coatings. A biochemical study of exhaled breath condensate (EBC) samples, a microbiological investigation of calf tracheal washes, and a clinical examination were conducted to assess the presence of bovine respiratory disease (BRD). An analysis of the gas phase over EBC samples with an array of sensors with polycomposite coatings was also carried out. The “visual prints” of the responses of sensors with polycomposite coatings and the results of the identification of VOCs in the gas phase over EBC samples were compared to the results of bacteriological studies of tracheal washes of the studied calves. A connection was found between the parameters Aij∑ of a group of sensors with polycomposite coatings and the biochemical parameters of biosamples. The adequacy of replacing an array of piezoelectric sensors with single coatings by the sensors with polycomposite coatings is shown.
State-of-Health Prediction Using Transfer Learning and a Multi-Feature Fusion Model
Authors: Fu Pengyu , Chu Liang , Hou Zhuoran , Guo Zhiqi , Lin Yang , Hu Jincheng
Published: November 2022

Existing data-driven technology for prediction of state of health (SOH) has insufficient feature extraction capability and limited application scope. To deal with this challenge, this paper proposes a battery SOH prediction model based on multi-feature fusion. The model is based on a convolutional neural network (CNN) and a long short-term memory network (LSTM). The CNN can learn the cycle features in the battery data, the LSTM can learn the aging features of the battery over time, and regression prediction can be made through the full-connection layer (FC). In addition, for the aging differences caused by different battery operating conditions, this paper introduces transfer learning (TL) to improve the prediction effect. Across cycle data of the same battery under 12 different charging conditions, the fusion model in this paper shows higher prediction accuracy than with either LSTM and CNN in isolation, reducing RMSPE by 0.21% and 0.19%, respectively.
Artificial Intelligence of Things Applied to Assistive Technology: A Systematic Literature Review
Authors: de Freitas Maurício Pasetto , Piai Vinícius Aquino , Farias Ricardo Heffel , Fernandes Anita M. R. , de Moraes Rossetto Anubis Graciela , Leithardt Valderi Reis Quietinho
Published: November 2022

According to the World Health Organization, about 15% of the world’s population has some form of disability. Assistive Technology, in this context, contributes directly to the overcoming of difficulties encountered by people with disabilities in their daily lives, allowing them to receive education and become part of the labor market and society in a worthy manner. Assistive Technology has made great advances in its integration with Artificial Intelligence of Things (AIoT) devices. AIoT processes and analyzes the large amount of data generated by Internet of Things (IoT) devices and applies Artificial Intelligence models, specifically, machine learning, to discover patterns for generating insights and assisting in decision making. Based on a systematic literature review, this article aims to identify the machine-learning models used across different research on Artificial Intelligence of Things applied to Assistive Technology. The survey of the topics approached in this article also highlights the context of such research, their application, the IoT devices used, and gaps and opportunities for further development. The survey results show that 50% of the analyzed research address visual impairment, and, for this reason, most of the topics cover issues related to computational vision. Portable devices, wearables, and smartphones constitute the majority of IoT devices. Deep neural networks represent 81% of the machine-learning models applied in the reviewed research.
Clustering-Driven DGS-Based Micro-Doppler Feature Extraction for Automatic Dynamic Hand Gesture Recognition
Authors: Zhang Chengjin , Wang Zehao , An Qiang , Li Shiyong , Hoorfar Ahmad , Kou Chenxiao
Published: November 2022

We propose in this work a dynamic group sparsity (DGS) based time-frequency feature extraction method for dynamic hand gesture recognition (HGR) using millimeter-wave radar sensors. Micro-Doppler signatures of hand gestures show both sparse and structured characteristics in time-frequency domain, but previous study only focus on sparsity. We firstly introduce the structured prior when modeling the micro-Doppler signatures in this work to further enhance the features of hand gestures. The time-frequency distributions of dynamic hand gestures are first modeled using a dynamic group sparse model. A DGS-Subspace Pursuit (DGS-SP) algorithm is then utilized to extract the corresponding features. Finally, the support vector machine (SVM) classifier is employed to realize the dynamic HGR based on the extracted group sparse micro-Doppler features. The experiment shows that the proposed method achieved 3.3% recognition accuracy improvement over the sparsity-based method and has a better recognition accuracy than CNN based method in small dataset.
Magnetic Field Sensing Using Tapered Small-Core Optical Fibre Surrounded by Different Concentrations of Magnetic Fluid
Authors: Kumar Rahul
Published: November 2022

In this paper, a high-sensitivity magnetic field sensor based on a single-mode–tapered small-core–single-mode (STSCS) optical fibre structure is investigated. The tapered small-core section of STSCS is surrounded by magnetic fluid (MF) containing ferromagnetic particles (FMPs) of different concentrations. The FMPs align themselves along the magnetic field, depending on the strength of the magnetic field. This alignment of FMPs changes the refractive index around the tapered small-core section, which in turn changes the output spectral response of the STSCS optical fibre structure. The change in spectral response is then calibrated for sensing the magnetic field strength. This paper also investigates the effect of both the taper waist diameter of the STSCS optical fibre structure and the concentration of MF surrounding it on the magnetic field sensitivity. The maximum sensitivity demonstrated in this paper is 0.46 nm/mT for a taper waist diameter of 10 μm surrounded by 1.22% FMPs in the MF. The magnetic sensor demonstrates reversible results, and its effects on the orientation of the magnetic field along the X–Y, X–Z and Y–Z axes are also investigated, which suggest that the sensor is capable of vector magnetic field measurement.
Thermographic Fault Diagnosis of Shaft of BLDC Motor
Authors: Glowacz Adam
Published: November 2022

A technique of thermographic fault diagnosis of the shaft of a BLDC (Brushless Direct Current Electric) motor is presented in this article. The technique works for the shivering of the thermal imaging camera in the range of 0–1.5 [m/s2]. An electric shaver was used as the source of the BLDC motor. The following states of the BLDC motor were analyzed: Healthy BLDC motor (HB), BLDC motor with one faulty shaft (1FSB), BLDC motor with two faulty shafts (2FSB), and BLDC motor with three faulty shafts (3FSB). A new method of feature extraction named PNID (power of normalized image difference) was presented. Deep neural networks were used for the analysis of thermal images of the faulty shaft of the BLDC motor: GoogLeNet, ResNet50, and EfficientNet-b0. The results of the proposed technique were very good. PNID, GoogLeNet, ResNet50, and EfficientNet-b0 have an efficiency of recognition equal to 100% for four classes.
Modulating Multiarticular Energy during Human Walking and Running with an Unpowered Exoskeleton
Authors: Zhou Tiancheng , Zhou Zhijie , Zhang Hanwen , Chen Wenbin
Published: November 2022

Researchers have made advances in reducing the metabolic rate of both walking and running by modulating mono-articular energy with exoskeletons. However, how to modulate multiarticular energy with exoskeletons to improve the energy economy of both walking and running is still a challenging problem, due to the lack of understanding of energy transfer among human lower-limb joints. Based on the study of the energy recycling and energy transfer function of biarticular muscles, we proposed a hip–knee unpowered exoskeleton that emulates and reinforces the function of the hamstrings and rectus femoris in different gait phases. The biarticular exo-tendon of the exoskeleton assists hamstrings to recycle the kinetic energy of the leg swing while providing hip extension torque in the swing phase. In the following stance phase, the exo-tendon releases the stored energy to assist the co-contraction of gluteus maximus and rectus femoris for both hip extension and knee extension, thus realizing the phased modulation of hip and knee joint energy. The metabolic rate of both walking (1.5 m/s) and running (2.5 m/s) can be reduced by 6.2% and 4.0% with the multiarticular energy modulation of a hip–knee unpowered exoskeleton, compared to that of walking and running without an exoskeleton. The bio-inspired design method of this study may inspire people to develop devices that assist multiple gaits in the future.
Analysis and Correction of Polarization Response Calibration Error of Limb Atmosphere Ultraviolet Hyperspectral Detector
Authors: Li Haochen , Li Zhanfeng , Huang Yu , Lin Guanyu , Zeng Jiexiong , Li Hanshuang , Wang Shurong , Han Wenyao
Published: November 2022

A UV hyperspectral instrument was designed with a polarization measurement channel for real-time in-orbit polarization correction to reduce the influence of polarization on the detection accuracy of atmospheric radiation. One of the prerequisites for in-orbit polarization calibration is accurately calibrating the instrument’s polarization properties in the laboratory. This study first introduces the calibration method and measuring device of the polarization characteristics of the ultraviolet (UV) hyperspectral detector and conducts a polarization calibration test of the instrument. The two main error sources introduced by the calibration device were emphatically analyzed, and the correction method of the error sources was deduced theoretically. Finally, the polarization calibration results of the UV hyperspectral detector were corrected, and the uncertainty analysis of the corrected calibration results was about 1.4%, which provides effective ground polarization calibration data for the on-orbit polarization correction of the instrument.
Hybrid Satellite–Terrestrial Networks toward 6G: Key Technologies and Open Issues
Authors: Tirmizi Syed Bilal Raza , Chen Yunfei , Lakshminarayana Subhash , Feng Wei , Khuwaja Aziz A.
Published: November 2022

Future wireless networks will be required to provide more wireless services at higher data rates and with global coverage. However, existing homogeneous wireless networks, such as cellular and satellite networks, may not be able to meet such requirements individually, especially in remote terrain, including seas and mountains. One possible solution is to use diversified wireless networks that can exploit the inter-connectivity between satellites, aerial base stations (BSs), and terrestrial BSs over inter-connected space, ground, and aerial networks. Hence, enabling wireless communication in one integrated network has attracted both the industry and the research fraternities. In this work, we provide a comprehensive survey of the most recent work on hybrid satellite–terrestrial networks (HSTNs), focusing on system architecture, performance analysis, design optimization, and secure communication schemes for different cooperative and cognitive HSTN network architectures. Different key technologies are compared. Based on this comparison, several open issues for future research are discussed.
On the Role of Damage Evolution in Finite Element Modeling of the Cutting Process and Sensing Residual Stresses
Authors: Ammar Mohamed M. A. , Shirinzadeh Bijan , Elgamal Hassan , Nasr Mohamed N. A.
Published: November 2022

This study focuses on the role of the damage evolution when estimating the failure behavior of AISI 1045 steel for sensing and measuring metal cutting parameters. A total of five Lagrangian explicit models are established to investigate the effect of applying damage evolution techniques. The Johnson–Cook failure model is introduced once to fully represent damage behavior, i.e., no damage evolution is considered, and as a damage initiation criterion in the remaining approaches. A fracture energy-based model is included to model damage propagation with different evolution rates. Temperature-dependent and temperature-independent fracture energy models are also investigated. Dry orthogonal cutting and residual stresses measurements of AISI 1045 are conducted for validation. The significance of the damage evolution is investigated using honed-tool and sharp-tool models. Including the damage evolution led to a prediction of higher workpiece temperatures, plastic strains, cutting forces, and residual stresses, with no clear differences between linear and exponential evolution rates. The role of damage evolution is more evident when temperature-dependent evolution models are used.
Integrated Video and Acoustic Emission Data Fusion for Intelligent Decision Making in Material Surface Inspection System
Authors: Chernov Andrey V. , Savvas Ilias K. , Alexandrov Alexander A. , Kartashov Oleg O. , Polyanichenko Dmitry S. , Butakova Maria A. , Soldatov Alexander V.
Published: November 2022

In the field of intelligent surface inspection systems, particular attention is paid to decision making problems, based on data from different sensors. The combination of such data helps to make an intelligent decision. In this research, an approach to intelligent decision making based on a data integration strategy to raise awareness of a controlled object is used. In the following article, this approach is considered in the context of reasonable decisions when detecting defects on the surface of welds that arise after the metal pipe welding processes. The main data types were RGB, RGB-D images, and acoustic emission signals. The fusion of such multimodality data, which mimics the eyes and ears of an experienced person through computer vision and digital signal processing, provides more concrete and meaningful information for intelligent decision making. The main results of this study include an overview of the architecture of the system with a detailed description of its parts, methods for acquiring data from various sensors, pseudocodes for data processing algorithms, and an approach to data fusion meant to improve the efficiency of decision making in detecting defects on the surface of various materials.
Imaging and Deep Learning Based Approach to Leaf Wetness Detection in Strawberry
Authors: Patel Arth M. , Lee Won Suk , Peres Natalia A.
Published: November 2022

The Strawberry Advisory System (SAS) is a tool developed to help Florida strawberry growers determine the risk of common fungal diseases and the need for fungicide applications. Leaf wetness duration (LWD) is one of the important parameters in SAS disease risk modeling. By accurately measuring the LWD, disease risk can be better assessed, leading to less fungicide use and more economic benefits to the farmers. This research aimed to develop and test a more accurate leaf wetness detection system than traditional leaf wetness sensors. In this research, a leaf wetness detection system was developed and tested using color imaging of a reference surface and a convolutional neural network (CNN), which is one of the artificial-intelligence-based learning methods. The system was placed at two separate field locations during the 2021–2022 strawberry-growing season. The results from the developed system were compared against manual observation to determine the accuracy of the system. It was found that the AI- and imaging-based system had high accuracy in detecting wetness on a reference surface. The developed system can be used in SAS for determining accurate disease risks and fungicide recommendations for strawberry production and allows the expansion of the system to multiple locations.
A Critical Appraisal of the Separation Protocols Proposed for the Implementation of the Health Claim on “Olive Oil Polyphenols” (EC Regulation 432/2012)
Authors: Tsimidou Maria Z.
Published: November 2022

The analysis of the secoiridoid type of phenolic compounds present in virgin olive oil has become a challenging area of research since the first evidence of their presence in the polar fraction of the oil. Separation techniques, mainly liquid chromatographic ones, prevailed over the years of application toward elucidation of their structure, content determination and collection of evidence on cultivar, origin, processing and storage conditions dependence. One of the latest challenges in their analysis was related to the need to address the requirement set by EC Regulation 432/2012 for the implementation of the health claim on ‘olive oil polyphenols’. The present work considers in a chronological order the original articles, viewpoints, review articles and other published efforts that appeared in the literature after the issuing of the relevant EFSA scientific opinion in 2011. The EFSA health claim created a lot of expectations among producers of virgin olive oil and boosted research for the development of a ‘fit for the purpose’ analytical protocol. Emphasis is given to the dedicated separation protocols that have been developed in the last 10 years and to the progress in their validation in comparison to the features of the method that were recently adopted by the International Olive Council.
The Effect of Environmental Consciousness on Environmental Management
Authors: Huang Cheng-Li , Kung Fan-Hua , Cheng Chia-Ling
Published: November 2022

The objective of this study was to combine environmental, social, and governance (ESG) theories, namely instrumental, political, integrative, and ethical theories, to understand whether differences in environmental consciousness of managers led to different environmental management performance. A questionnaire survey on the environmental consciousness and environmental management of Taiwan’s manufacturing firms was conducted and 261 samples were analyzed. The research model investigates the relevant relationships among the constructs by using a structural equation modeling approach. The results indicate that heightened political, integrative, and ethical environmental consciousness exert a positive influence on environmental management performance, whereas stronger instrumental environmental consciousness exerts a negative influence. The results of this study can assist companies in scrutinizing the effectiveness of their environmental management measures while also assisting investors in identifying companies with genuine environmental consciousness. The findings will do more to provide governing agencies with a reference when formulating environmental regulations.
Energy-Efficient Task Scheduling and Resource Allocation for Improving the Performance of a Cloud–Fog Environment
Authors: V Sindhu , M Prakash , P Mohan Kumar
Published: November 2022

Inadequate resources and facilities with zero latency affect the efficiencies of task scheduling (TS) and resource allocation (RA) in the fog paradigm. Only the incoming tasks can be completed within the deadline if the resource availability in the cloud and fog is symmetrically matched with them. A container-based TS algorithm (CBTSA) determines the symmetry relationship of the task/workload with the fog node (FN) or the cloud to decide the scheduling workloads (whether in the fog or a cloud). Furthermore, by allocating and de-allocating resources, the RA algorithm reduces workload delays while increasing resource utilization. However, the unbounded cloud resources and the computational difficulty of finding resource usage have not been considered in CBTSA. Hence, this article proposes an enhanced CBTSA with intelligent RA (ECBTSA-IRA), which symmetrically balances energy efficiency, cost, and the performance-effectiveness of TS and RA. Initially, this algorithm determines whether the workloads are accepted for scheduling. An energy-cost–makespan-aware scheduling algorithm is proposed that uses a directed acyclic graph (DAG) to represent the dependency of tasks in the workload as a graph. Workloads are prioritized and selected for the node to process the prioritized workload. The selected node for processing the workload might be a FN or cloud and is decided by an optimum efficiency factor that trades off the schedule length, cost, and energy. Moreover, a Markov decision process (MDP) was adopted to allocate the best resources using the reinforcement learning scheme. Finally, the investigational findings reveal the efficacy of the presented algorithms compared to the existing CBTSA in terms of various performance metrics.
[18F]fluciclovine vs. [18F]fluorocholine Positron Emission Tomography/Computed Tomography: A Head-to-Head Comparison for Early Detection of Biochemical Recurrence in Prostate Cancer Patients
Authors: Ferrari Cristina , Mammucci Paolo , Lavelli Valentina , Pisani Antonio Rosario , Nappi Anna Giulia , Rubini Dino , Sardaro Angela , Rubini Giuseppe
Published: November 2022

Nowadays, there is still no consensus on the most accurate PET radiopharmaceutical to early detect prostate cancer (PCa) relapse. A tailored radiotracer choice based on a specific patient’s profile could ensure prompt disease detection and an improvement in patients management. We aimed to compare the [18F]fluciclovine and [18F]fluorocholine PET/CT detection rate (DR) in PCa patients restaged for early biochemical recurrence (BCR), according to clinical and biochemical features. A cohort of 138 PCa patients with early BCR (mean age: 71 y, range: 50–87 y) were homogeneously randomized 1:1 to a [18F]fluciclovine or a [18F]fluorocholine PET/CT group. The respective PET/CT DR, according to per-patient and per-region analysis, and the impact of the biochemical, clinical, and histological parameters, were compared. The PSA cut-off values predictive of a positive scan were also calculated. Overall, the [18F]fluciclovine PET/CT DR was 64%, significantly higher than the [18F]fluorocholine PET/CT DR of 35% (p = 0.001). Similarly, in the per-region analysis, the [18F]fluciclovine PET/CT DR was 51% in the prostate region, significantly higher compared to 15% of [18F]fluorocholine (p < 0.0001). Furthermore, a statistically significant higher DR in per-patient and per-region (prostate/prostate bed) analysis was observed in the [18F]fluciclovine group for 0.5–1 ng/mL (p = 0.018, p = 0.049) and >1 ng/mL (p = 0.040, p < 0.0001) PSA values. A PSA of 0.45 ng/mL for [18F]fluciclovine and of 0.94 ng/mL for [18F]fluorocholine was identified as the optimal cut-off value in predicting a positive PET/CT scan. Our results demonstrated a better [18F]fluciclovine PET/CT DR compared to [18F]fluorocholine for restaging PCa patients in early BCR, particularly in the detection of locoregional recurrence. The significantly higher [18F]fluciclovine DR for low PSA values (PSA < 1 ng/mL) supports its use in this setting of patients.
Political Role of the Dunbar Project in Developing the Global Financial Architecture
Authors:   Institute of Financial Analysts (Beirut, Lebanon), Farah Adrien S. ,   Lomonosov Moscow State University.
Published: November 2022

Digitalization is one of the main transformation processes of the modern system of global interactions, changing the nature of social links not only at the technical and economic, but also at the political level. Herewith, technological innovations also become instruments of political influence. The present article analyzes the management structure of one of the leading participants in the global financial market — the Bank for International Settlements (hereinafter — BIS) and highlights the important place the BIS occupies in the global financial architecture on the example of the Dunbar project, being developed in its innovation hub. In digital age the BIS has assumed a new leading role in exploring, developing and testing digital innovations in the central banking sector. It is noted that potential to use the BIS for political purposes is great, given that the Dunbar project will have far-reaching consequences for the structure of modern international relations.
Oorfene Deuce's Mistake, or Some Remarks on Country Image
Authors:   Financial University under the Government of the Russian Federation, Pobyvaev Sergei A.
Published: November 2022

In the proposed material, the author draws attention to the fact that in the conditions of recent forced reputational losses for Russia, the problem of forming an attractive national image becomes extremely relevant. The author examines the position of Russia in the field of national image in comparison with a number of foreign states. Based on the approaches of the theoretical founder and leader of country branding, S. Anholt, the author reviews the state of affairs in various spheres of Russian life, and concludes that the most promising areas for the formation of a new positive image of Russia are the sphere of culture and the tourism industry.
The Dollar Collapse: Projecting Russia's Actions in the Face of Global Economic Collapse
Authors:   MGIMO University, Ageev Aleksandr I. ,   MEPhI,   Lomonosov Moscow State University,   International Research Institute for Advanced Systems,   Institute for Economic Strategies, Loginov Evgenii L. ,   Ministry of Energy of the Russian Federation
Published: November 2022

The world has been scared by the collapse of the dollar many times. So far, fears of a global economic collapse, associated with the fate of the dollar, have been greatly exaggerated. However, there are no significant guarantees that this will not happen under certain conditions. Variants of the Atlantic-planned collapse of the dollar with its replacement by a synthetic financial instrument o r digital currency, somehow similar to bitcoin, are possible. COVID-19 has further revealed this problem. Russia needs to abandon its illusions and to be ready to ensure the economic stability of political regime in a special period as manifestation of the world monetary and economic war of all against all at a certain stage of the catastrophe, while waiting for the main actors to agree on joint actions. At the same time, among our geopolitical competing partners, there are a lot of those who want by all means to solve their economic and other problems at the expense of Russia. Therefore, macroeconomic measures that Russia will have to take in case of a global dollar collapse are very likely to be more severe than the scenario that the authors formulated in this article.
Evaluation of the effectiveness of buccal ureteroplasty in the late postoperative period
Authors:   SBI «Hospital for War Veterans», Rostov region, Rostov-on-Don, Volkov A.
Published: November 2022

Surgical treatment of organic obstruction of the upper urinary tract is a complex problem in modern urology. The aim of the study was to analyze the assessment of the late postoperative period after ureteral replacement with a buccal graft. We followed up 32 patients who underwent buccal ureteroplasty (BU). The effectiveness of this surgical intervention was assessed by the absence of recurrence of the disease and the need to reuse ureteral stenting or percutaneous nephrostomy. Recurrence of urinary tract obstruction was later detected in 3 (9.4 %) patients. Also, after removal of the stent in 18 patients, the following indicators were evaluated: glomerular filtration rate, maximum systolic blood flow velocity in the interlobar arteries of the kidney, thickness of the kidney parenchyma, ureteroscopy, and pain in the lumbar region. After 6 months, the established parameters were re-determined, and in case of improvement or unchanged primary indicators, each of the parameters was scored 1 point, in case of deterioration of the primary indicators, each of the parameters was scored 0 points. If the total score is 3 or more, then the course of the postoperative period after reconstructive surgery on the upper urinary tract using a buccal graft is considered favorable and conservative therapy is continued. Two of the 18 patients had a score of 2, which led to a change in the tactics of postoperative follow-up. Thus, this method for assessing parameters in operated patients allows timely correction of renal dysfunction.
Redevelopment as a direction for the territory transformation by example of "Cherdaklinsk urban settlement", Ulyanovsk region
Authors:   Department of Land Management and Cadastre, Ulyanovsk State Agrarian University, Ulyanovsk, Khvostov N.V. , Provalova E. V. ,   Department of Land Management and Cadastre, Ulyanovsk State Agrarian University, Ulyanovsk, Ermoshkin Y. V. ,   Department of Land Management and Cadastre, Ulyanovsk State Agrarian University, Ulyanovsk, Erofeev S. E. ,   Department of Land Management and Cadastre, Ulyanovsk State Agrarian University, Ulyanovsk, Tsapovskaya O. N. ,   Department of Land Management and Cadastre, Ulyanovsk State Agrarian University, Ulyanovsk
Published: November 2022

In this paper, the authors consider redevelopment by example of the Cherdaklinsk urban settlement, Ulyanovsk region. Because of the location of the settlement, which includes all categories of land, it is possible to use the territory and the corresponding real estate objects effectively.
The analysis of especially valuable agricultural land
Authors:   Department of ", Tkacheva O.A. ,   Cadastre and Monitoring of Lands",   of the Don State Agrarian University
Published: November 2022

The article deals with the formation of especially valuable agricultural land as an element of a set of measures - legal, organizational and managerial –for ensuring the efficiency of the use and protection of agricultural land. The most labile criterion for the formation of these zones can be considered "excessive cadastral value." The paper contains the analysis of the quantitative state of land plots of especially valuable productive agricultural lands according to this criterion.
The use of Biotrof drug in the haylage and silage making of alfalfa
Authors:   Federal Williams Research Center of Forage Production & Agroecology, Russia, Moscow region, Lobnya, Kosolapov V. M. , Shirokoryad M. S. ,   Federal Williams Research Center of Forage Production & Agroecology, Russia, Moscow region, Lobnya
Published: November 2022

Alfalfa is one of the most important fodder crops, because it has a very high adaptability to various climatic conditions. The purpose of the research was to study the use of the Biotrof drug in the haylage and silage making of alfalfa. The research was carried out at the Central Experimental Base of the Federal Williams Research Center of Forage Production & Agroecology in the laboratory of feed storage and canning. The production experiment on the evaluation of the eff ectiveness of the use of the Biotrof feed additive was carried out in the livestock farm of the PF Mikhailidi in the Karachay-Cherkess Republic. The modes of alfalfa drying providing an increase in the fermentability of the silage mass were determined. Under laboratory conditions a number of experiments on silage and haylage making of alfalfa with diff erent dry matter content were carried out in order to identify the optimal value of plant moisture, at which, under the infl uence of the introduced feed additive of lactic acid bacteria, the minimum accumulation of ammonia is ensured, as well as the maximum rate and degree of acidifi cation of the mass. The mechanisms of accumulation of ammonia, sugar and butyric acid in alfalfa with different dry matter content and various methods of canning have been studied. It was found during the production trial that the intake of silage from dried alfalfa harvested with the addition of lactic acid bacteria Biotrof, as part of the ration of sheep of Hissar breed, the average daily gain in live weight was by 18,3 g more compared with the group of animals that consumed haylage. The data obtained indicate that in terms of its productive effect, silage from dried alfalfa prepared with the Biotrof feed additive, is not inferior to the productive eff ect of alfalfa haylage with a dry matter content of about 50 % provided that the mass is quickly dried in both cases.
How Cloud Computing and Business Intelligence support UAV Technology
Authors:   Strategic Cyber Resilience Research and Development Center, National Institute of Informatics, 2-1-2 Hitotsubashi, Chiyoda-ku, Tokyo 101-8430, Japan, Shahata Nader
Published: November 2022

In recent years, the majority of UAVs are implemented using technologies that require a lot of effort, budget and time. This will consume the available resources in an exaggerated manner and will therefore affect the overall performance of the UAV itself. In this paper, we present the use of cloud computing in conjunction with business intelligence for the aim of adding more efficiency to the UAV technology in the high speed era and the use of 5G technology. The recent introduction of the cloud computing is a very good opportunity which can support business intelligence. Through this paper, we will discuss the procedure of mapping cloud computing to the UAVs and the challenges that will be emerged when doing so. Many of these challenges are not limited to the UAVs energy levels, motion, and GPS settings.
Production of Common Carp (Cyprinus carpio) with Supplemental Feeding in Ricefields in North Sumatra, Indonesia
Authors: CRUZ EMMANUEL M. , DELA CRUZ CATALINO R.
Published: November 2022

A production trial in nine farmer cooperators' ricefields in North Sumatra, Indonesia, was conducted to evaluate the growth rate, yield and economics of culturing common carp (Cyprinus carpio ) at different stocking densities with supplemental feeding. Common carp weighing 52.9-111.2 g were stocked at 1,500, 3,000 and 4,500 fish·ha·1. Three ricefields were assigned to each stocking density. A compounded diet (16% crude protein) was given daily at a rate of 5% of the fish biomass. The trial was conducted for 75 days during the long fallow period in between two rice cropping seasons. Mean individual fish weight decreased, but yield increased with an increase in fish stocking density. The yield at a stocking density of 1,500 f19h·ha·1 was significantly lower than those at densities of 3,000 and 4,500 fish·ha·1. Highest production and profit were obtained at the highest stocking density. However, the rate of return on operating capital was highest at a stocking density of 1,500 fish·ha·1 with a profit in 2.5 months approximating that of one rice crop with a 4- month culture duration. Farmers with financial capability may further increase profit by adopting the 3,000 or 4,500·ha•l stocking rates.
Induced Spermiation in the Male Spotted Scat (Scatophagus argus) by Long-Term Administration of 17cx-Methyltestosterone Followed by LHRHa
Authors: BARRY TERENCE P.
Published: November 2022

Studies were undertaken to find a reliable method to induce spermiation in male spotted scat (Scatophagua argus), a herbivorous, euryhaline teleost which can be readily reared in tropical brackish water fish ponds. Administration of HCG (5 and 10 IU1(1 ), LHRHa ar l 7a-methyltestosterone (MT) alone, or LHRHa pluo MT administered simultaneously, were ineffective treatments for stimulating spermiation. Prolonged administration of MT (15 or 45 days), followed by the administration of LHRHa in a cholesterol-based pelleted implant (35 mg-kg1 ), however, significantly otim,,lated spermiation.
Application of an Objective Method for Detecting Changes in Fish Communities: Samar Sea, Philippines
Authors: MCKENNA JAMES E. , SAILA SAUL B.
Published: November 2022

Changes in ecological communities are often measured by the use of diversity or indices. Although many indices are available, their statistical properties are usually unknown and significance cannot be assigned to the value of a similarity index or to the difference between two values of a diversity index. FAUNSIM is a nonparametric method for determining the statistical significance of differences between two species assemblages for which no replicate samples are available. It makes use of Monte Carlo simulation and knowledge of the pool of species that may be found in the general region of interest. It generates an approximate probability distribution for the number-of species expected to be common to the two 888emblages of interest. This method was applied to trawl survey data from Samar Sea, the Philippines. Using FAUNSIM, significant differences in the assemblages of demersal fish were found in both time and space. Deep and shallow stations were occupied by distinct assemblages. Assemblages at some stations changed significantly froml979 to 1980. Visual inspection of changes in assemblages and standard diversity indices were not as effective as FAUNSIM in assessing the significance of observed changes in ecological communities.
Глобалізація та її наслідки для сприйняття цінності здоров’я та релігії
Authors: Balážová Andrea
Published: November 2022

Проблема охорони здоров’я в даний час є однією з найскладніших тем у філософському дискурсі, яка пов’язана не лише зі світовою пандемічною ситуацією, пов’язаною з Covid-19, яка виявляє цінність здоров’я як ніколи раніше, але й глобалізацією як способом радикалізувати індивідуальні ризики для здоров'я людей. Хоча питання охорони здоров'я все частіше стає предметом багатьох не лише філософських дискусій, індивідуальні підходи в основному зосереджуються на вивченні здоров'я в контексті біоетичних або медичних проблем, що виникають внаслідок технологічної та цифрової орієнтації світу, а не глобалізації. Цьому також сприяє секуляризація сучасних суспільств, яка впливає на загальне людське світорозуміння. У цій статті ми проаналізуємо взаємозв’язок між релігією та здоров’ям у сучасному глобалізованому світі. Стаття відображає глобалізацію як, з одного боку, можливість усвідомити цінність здоров’я та відповідальність, яку людина несе стосовно цієї цінності. З іншого боку, це доводить негативні наслідки глобалізаційних процесів, які аналізуються крізь призму концепції гіперспоживання та людини як гомомедика Г. Липовецького.
Біля джерел наукового світогляду: “cosmotheoria” і “weltanschauung”
Authors: Popov Volodymyr
Published: November 2022

У статті розглядається історія виникнення наукового світогляду під час наукової революції ХVI- ХVII сторіч. Показані головні джерела цього світогляду, які знайшли відображення у концепті "сosmotheoria". Висвітлена ґенеза цього концепту та його складових "κόσμος" та "θεωρία". Автор підкреслює хибність думки Гайдеґера про те, що в докантівській філософії поняття "світогляд" не існувало. Ретельно досліджуються мовні переходи від "сosmotheoria" до "Wereldbeschouwing" та "Weltanschauung". Також аналізуються соціальноісторичні умови цих мовних трансформацій.
Міжрелігійна екумена як позитивний сигнал здорового суспільства
Authors: Tkáčová Hedviga
Published: November 2022

Феномен екуменізму розуміється в більш широкому сенсі як спроба діалогу між християнами і нехристиянськими релігіями. Йдеться про так званий "великий екуменізм". У цій статті ми називаємо його "екуменізмом Авраама" і представляємо його у вигляді короткого огляду взаємин трьох монотеїстичних релігій. Також в практичній частині статті ми акцентуємо увагу на контексті "великого екуменізму". Саме дослідження проводиться в групі з 52 старшокласників і його мета – виявити проблеми в спілкуванні з людиною іншої культури або релігії і визначити рішення, які респонденти вважають необхідними і практично здійсненними. Дослідження показує, що старшокласники усвідомлюють свої недоліки, які можуть бути перешкодою для діалогу з людьми, які належать до різних культур або релігій. Респонденти говорять про відсутність впевненості в собі і про практичний або особистий досвід "інакшості". Вони також вказують на проблему домінуючого досвіду ЗМІ з "інакшістю", що неоднозначно, оскільки ЗМІ надають багате джерело інформації і в той самий час створюють або поглиблюють забобони і стереотипи в суспільстві. На думку респондентів, рішення – освіта, орієнтована напридбання життєвих навичок, медіаграмотності і критичного мислення. В контексті соціальних ініціатив, на думку респондентів, виходом може стати підтримка ініціатив, спрямованих на повне викорінення ксенофобії, расизму та етнічної нетерпимості в суспільстві.
Абдуктивні міркування та можливості їхнього застосування в контексті медичної діагностики
Authors: Savchenko Nadiya
Published: November 2022

В статті освітлюється положення щодо витлумачення абдуктивних міркувань: проводяться паралелі з іншими видами міркувань, на основі чого окреслюється специфіка розуміння абдукції. Узагальнюється положення щодо абдукції з точки зору її "переваг" та "недоліків", та аналізується особливості застосування абдуктивних міркувань в царині медицини, а саме на етапі діагностики. Розглядається думка, що абдуктивні міркування можна вважати ампліативними, та евристичними. Також стверджується, що абдуктивні міркування відносяться до логічної теорії як самостійний вид, і не зводяться до жодного іншого виду умовиводів чи методів.
“correção” dos “transtornos do instinto”
Authors: Levai Giulia
Published: November 2022

O presente artigo se propõe a analisar mobilizações científicas em torno da “reversão sexual”, da “cura do homossexualismo” e do “problema” das ambiguidades sexuais ao longo das três primeiras décadas do século XX, focalizando formulações da endocrinologia sexual do período. O método empregado é uma discussão bibliográfica, acompanhada da análise de fontes primárias, quais sejam, livros de divulgação científica, veículos jornalísticos e volumes literários. O texto aborda como o tema da “correção das sexualidades desviantes” adequa-se não só às vogas científicas de cada período, bem como a suas preocupações morais. As conclusões apontam para sólidos laços entre ciência, política e moralidade – postos em plena evidência nos embates entre crises epistêmicas e pânicos morais – e também para o revés desse alinhamento conservador: as possibilidades que surgem a contrapelo, erguidas pela própria literatura médica e apropriadas pelos “desviantes” em questão.
heterossexualidade compulsória e a estilização do corpo à luz do pensamento de Judith Butler
Authors: De Almeida Carvalho Thiago Henrique , Ferreira de Araújo David
Published: November 2022

O presente trabalho busca investigar os mecanismos que cuidam de normalizar a estilização do corpo como um processo ideal da instituição heterossexual. Através da obra “Problemas de Gênero: feminismo e subversão da identidade” da filósofa Judith Butler (2017), propomos questionar o processo de estilização como um material dado e/ou natural, uma vez que tal processo consiste na produção de corpos educados. Nesse processo, analisamos o papel da cultura heterossexual na padronização das identidades de gênero, baseada no binarismo masculino/feminino, tendo em mente que o imperativo heterossexual sustenta uma necessidade de invocar sujeitos disciplinados, medidos e consentidos sob um conjunto arbitrário de regulações inscritas nos corpos para a sustentação das convenções estabelecidas e criadas socialmente, que legitimam a produção de uma masculinidade e feminilidade ideal. Dito isso, cabe indagar as implicações dos estudos estruturalistas de Levi-Strauss e psicanalíticos freudianos e lacanianos, nos quais produzem uma matriz heterossexual, com a capacidade de estimular a heterossexualidade e negar as demais sexualidades consideradas desviantes. Por fim, tem-se a pretensão de examinar a estilização do corpo como um processo performativo, isto é, fabricações discursivas que impõe o que deve ser utilizado/feito, tendo, por exemplo, uma identidade de gênero masculina ou feminina.
“famílias que escolhemos” pelo Facebook
Authors: Woltmann Figueiró Lucas
Published: November 2022

O presente escrito trata da “Inseminação Caseira” em seres humanos. Diferente do que ocorre em clínicas e centros profissionais de reprodução assistida, sob o rótulo de Inseminação Caseira repousam alternativas informais e caseiras para a reprodução e constituição de arranjos familiares.  Apoiado em materiais diversos (grupos temáticos na plataforma Facebook, reportagens, documentos e vídeos na plataforma YouTube), o objetivo deste artigo é analisar os modos pelos quais essa alternativa reprodutiva tem sido apresentada e que contribuições agrega para pensarmos temas tratados sob as rubricas parentesco, ciência e tecnologia. Para tal, intelectuais como Kath Weston, Marilyn Strathern, Charis Thompson e Claudia Fonseca foram consultadas como fonte de inspiração. Aliadas e outras referências que cito de forma pontual, essas intelectuais fornecem a grade teórica por meio da qual tento compreender a Inseminação Caseira e algumas de suas particularidades. As análises realizadas sugerem que, nas escolhas e práticas levadas adiante na busca pelo “sonho” da maternidade, tentantes e doadores negociam laços de pertencimento. Para tal, atuam tanto “naturalizando” aspectos que escapam de laços biogenéticos, quanto negando o que poderia ser considerado natural e irrevogável. Se em alguns momentos se atribui mais ênfase ou valor a aspectos biogenéticos, isso não impede que, de forma simultânea e proporcional, se invista na produção de outras tantas formas de conexão e pertencimento.