bluuebunny/crossref_metadata_2025 huggingface dataset:
Conversational AI for multi-agent communication in Natural Language
Authors: Lemon Oliver
Published: September 2022

Research at the Interaction Lab focuses on human-agent communication using conversational Natural Language. The ultimate goal is to create systems where humans and AI agents (including embodied robots) can spontaneously form teams and coordinate shared tasks through the use of Natural Language conversation as a universal communication interface. This paper first introduces machine learning approaches to problems in conversational AI in general, where computational agents must coordinate with humans to solve tasks using conversational Natural Language. It also covers some of the practical systems developed in the Interaction Lab, ranging from speech interfaces on smart speakers to embodied robots interacting using visually grounded language. In several cases communication between multiple agents is addressed. The paper surveys the central research problems addressed here, the approaches developed, and our main results. Some key open research questions and directions are then discussed, leading towards a future vision of conversational, collaborative multi-agent systems.
Application of Vegetation Index to Assess the Sustainability of Coal Mines in India
Authors: Chauhan Chanchal , Ahmed Aariz , Srikanth R
Published: September 2022

India’s per capita electricity consumption is less than one-third of the global average. Coal is the only energy source that India possesses in abundance to meet the 24×7 electricity requirements of its people in a cost-effective manner. While mining operations have positive economic impacts on the local area in terms of infrastructure development and provision of employment and business opportunities for the local population, they also create adverse impacts on the environment. These impacts are particularly significant in the case of opencast coal mines which produce more than 94% of the coal produced in India. The coal sector must incorporate social and ecological sensitivities into the mining process from the planning stage up to mine closure to meet India’s Sustainable Development Goals. In this study, the authors present the results of a study on the vegetation and air environment around four opencast coal mines in the State of Telangana. The Normalized Vegetation Difference Index (NDVI) is useful to assess the environmental impacts of mining operations, such as the air quality and vegetation around coal mines, and also monitor the progress of post-closure activities. The findings of this study are relevant for other coal mines.
Elimination of Zinc Ions (Zn+2) from Synthetic Wastewater Using Lemon Peels
Authors: Al-Hermizy Suadat Mustafa Mohammed , Al-Ali Suha Ibrahim Salih , Abdulwahab Israa Abdulqader , Abbas Mohammed Nsaif
Published: September 2022

The major objective of this research was to study the susceptibility of an agro-waste type to treat wastewater polluted by zinc ions. The feasibility as an adsorbent was determined by the batch unit. Operating parameters studied included the pH, agitation speed, zinc initial concentration, adsorbent dose and contact time. The adsorption kinetic and isothermal studies were investigated using pseudo first order and pseudo second order kinetic models, Langmuir and Freundlich models, respectively. The maximum efficiency of adsorption was close to 93%. Langmuir isotherm and pseudo second order models were the best fit with practical data. The lemon peels proved to show outstanding efficiency as non-valuable, sustainable, and excellent alternative media to recover heavy metals from polluted solutions by accessing the concept of zero residues level (ZRL).
The Impact of COVID-19 Infection on Prognostic Effect of Liver Laboratory Markers and Disease Outcome
Authors: Ghamyes Randa R. , Alhamadani Hayjaa M. , Rasool Mohammed I.
Published: September 2022

Severe acute respiratory syndrome-related coronavirus 2 (SARS- CoV-2) is a viral pathogen that causes coronavirus disease 2019 (COVID-19). Angiotensin-converting enzyme 2 (ACE2), as a receptor, is crucial for SARS-CoV-2 to get access into the host cells. According to reports, ACE2 is expressed in the liver, placenta, heart, lungs and kidneys. This study sought to gain unique insights into the features of liver indicators in individuals suffering from COVID-19 disease in order to enhance their therapeutic care. The study groups included 50 people diagnosed with COVID-19 infection in the patient’s group and 25 healthy people without any systemic diseases in the control group. Human serum samples were used to measure liver function enzymes, CRP, D dimer, and ferritin all samples by using automated quantitative tests. The results revealed a statically significant difference between AST, ALP, TSB, and study groups, where it is found that the mean levels of AST (88.04±33.00) and ALP (99.61±41.93) were high in patients than in controls, while the mean levels of TSB were low in patients (0.51±0.21) than the controls. A significant difference was also obtained for each ferritin, CRP, and D dimer between the study groups, where it found the mean concentrations of D dimer, ferritin and CRP, i.e., 1208.09±667.32, 60.53±23.91 and 204.52±90.62, respectively, were high in the patient’s group than in controls.
Calculating the Geoelectrical Parameters of Selected Wells in Al-Ishaqi District - Salah Al-Din Governorate/Central Iraq
Authors: Rashid Riyadh M. , Ali Nawfal H. , Ahmed Muhana M.
Published: September 2022

The current study aims to calculate the geoelectrical parameters of the confined aquifer saturated with water, which is located within the sediments of the Quaternary period in the southwestern part of Salah al-Din. It is in the Balad district in which coefficients are represented by the values of longitudinal conduction (T), whose values are 0.18-0.55. The transverse specific resistance (RT) and its values are 3207- 7603, the longitudinal (volume) resistance (ρb) and its values 87-157, and specific cross-sectional resistance with its values 86-155, while the asymmetry coefficient (FF) whose values are 26-51. Also, some statistical relationships of hydrogeophysical coefficients were calculated and contour maps were drawn with the values of these operators in the study area.
Optimal Power Flow Through Hybrid Power System Using Metaheuristic Hybrid Algorithm
Authors: Kumar Naveen , Kumar Ramesh
Published: September 2022

The growing population and modernisation in life styles of people increase the demand of electrical power. This has led to pressure on conventional thermal power plants to increase the production of electrical energy by using more and more fossil fuels like coal, petrol, diesel and natural gases, which enhance the emission of greenhouse gases causing environmental pollution. Hence, renewable sources of energy attract the attention of researchers as these can reduce the cost of production, and carbon emissions and has high efficiency. In this study, an IEEE 30- bus hybrid power test system consisting of thermal generators, wind generators and solar photo voltaic have been considered to achieve economically, environmentally as well as physically stable systems. The adopted hybrid power system follows a highly non-linear and complex nature, hence a novel hybrid algorithm named SHADE-SSA is framed to find optimal solutions economically and environmentally with stable voltage deviation and low power loss. The performance of the SHADE-SSA algorithm is compared with the SHADE-SF algorithm and SSA, to confirm the superiority in solving complex, non-linear hybrid power system problems.
Visual evaluation for the elasticity of suprahyoid muscles using sonographic elastography during tongue pressure measurement: A pilot study
Authors: Hayashi-Sakai Sachiko , Kobayashi Taichi , Hayashi Takafumi , Shimomura-Kuroki Junko , Sakai Jun , Sakamoto Makoto
Published: September 2022

BACKGROUND: Suprahyoid muscles behavior during the tongue lifting movement has not yet been elucidated. OBJECTIVE: The purpose of this study was to investigate the potential of elastography imaging to examine developmental oral dysfunction in children and oral hypofunction in older adults using sonography. METHODS: Tongue pressure was measured using a manometer with a probe. The tongue pressure was measured with simultaneously scanning the geniohyoid muscle (GHM) and the anterior belly of the digastric muscle (DGM) using sonographic elastography. Sagittal images of the GHM and coronal images of the DGM were used for the strain ratio measurement. The strain ratio of the muscles was measured three times for each subject with the tongue pressure values of 0–30 kPa. RESULTS: The strain ratio of the GHM were higher than those of the DGM at tongue pressure of 10, 20 and 30 kPa. The strain ratio of the GHM increased as the tongue pressure increased in all participants. In contrast, the strain ratio of the DGM tended to slowly decrease as tongue pressure increased in female participants. CONCLUSION: Sonographic elastography is useful for visual and quantitative evaluation of elastic properties in suprahyoid muscles during tongue lifting movements.
Numerical analysis of hemodynamics in pulmonary artery stenosis
Authors: He Fan , Wang Xinyu , Hua Lu , Guo Tingting
Published: September 2022

BACKGROUND: Pulmonary artery stenosis is a serious threat to people’s life and health. OBJECTIVE: The hydrodynamic mechanism of pulmonary artery stenosis is investigated. METHODS: Numerical analysis of hemodynamics in pulmonary artery stenosis using computational fluid dynamics techniques is performed. An idealized model of pulmonary artery stenosis is established, and the model is divided into main pulmonary artery, right and left pulmonary arteries, and their branches. The sections at different positions are intercepted to study the distribution trend of maximum velocity, pressure and wall shear stress. RESULTS: The numerical simulation results show that the pressure drop at both ends of the narrow area is large. High velocity and wall shear stress exist in the center of stenosis, and the wall shear stress at the distal end of stenosis gradually decreases, resulting in endothelial dysfunction. CONCLUSIONS:  To some extent, this study helps clinicians make diagnosis and treatment plans in advance and improve prognosis. This method could be used in the numerical simulation of practical models.
Self-Driving Software Benchmark for Model-Based Development
Authors: Onozawa Takumi , Azumi Takuya
Published: September 2022

This study describes the MATLAB/Simulink benchmark of an open-source self-driving system based on Robot Operating System 2 (ROS 2). In recent years, self-driving systems have been the subject of research and development worldwide. Due to the lack of open source models for self-driving systems, model-based development, a common approach to the development of in-vehicle systems, is not yet fully used in the development of self-driving systems. The provided MATLAB/Simulink benchmarks support the design of ROS 2-based self-driving systems using MATLAB/Simulink. Improvements to the benchmark’s design issues are discussed. Furthermore, Simulink’s profiling function makes it easier to make redesign decisions. The model can run using only sensor data, and the runtime evaluation revealed that the benchmark models could reduce the runtime, although the number of cores used was different.
Multi-Task Learning-Based Attentional Feature Fusion Network for Scene Text Image Super-Resolution
Authors: Honda Kosuke , Fujita Hamido , Kurematsu Masaki
Published: September 2022

Super-resolution for scene text images is a pre-processing of scene text recognition to improve recognition accuracy. This task aims to improve the visual quality of text regions in the images from low-resolution images. Although SR techniques have significantly improved with the recent development of deep learning, it is still challenging to reconstruct high-resolution images for wild images with irregular shapes, severe noise, and blurring. This is because CNN-based methods are based on local calculations and do not consider text-specific characteristics and these are unable to deal with irregular deformations, etc. In this paper, we propose a multi-task learning-based Attentional Feature Fusion Network (MAFF-Net) to reconstruct visually high-quality images from low-resolution images in real scenes. MAFF-Net consists of a reconstruction branch and a super-resolution branch, which are trained simultaneously to share complementary features of the reconstruction model, such as noise reduction and structural information of the text, using the feature representation transfer (FRT) module. In addition, the transformer module, equipped with a 2-D self-attention mechanism, is used to deal with irregular deformations of the text. Then, we attempt to improve the visual quality of the images with severe noise, blurring, and irregular deformations by fusing the attentional features of the different viewpoints of the FRT module and the transformer module, respectively. Experimental results on the benchmark TextZoom dataset show that the proposed method achieves competitive performance with state-of-the-art methods and proves its effectiveness, especially for challenging images.
Prompt Sensitivity of Language Model for Solving Programming Problems
Authors: Shirafuji Atsushi , Ito Takumi , Morishita Makoto , Nakamura Yuki , Oda Yusuke , Suzuki Jun , Watanobe Yutaka
Published: September 2022

A popular language model that can solve introductory programming problems, OpenAI’s Codex, has drawn much attention not only in the natural language processing field but also in the software engineering field. It supports programmers by suggesting the next tokens to write, and it can even generate a whole function definition from a document string. We focus on its capability of automatically solving programming problems through code generation from problem descriptions. We investigate the model’s sensitivity to problem descriptions by formatting and modifying them. The experimental results show that the more explicitly formatted problem description enhances the code generation performance from 30.9% (raw) to 39.9% (formatted). Additionally, we observe that code generation relies on information specified in the problem description, such as variable names and constant values, as anonymizing them reduces the performance significantly. Moreover, statistical biases in code generation are identified, such as the generated programs ignoring the problem modification and answering the exact opposite problem. The changes in accuracy across formats suggest that the model does not correctly understand the natural language explaining the problem specification even if the model could solve the programming problems with high accuracy.
Evaluation of 3D Point-Cloud Reconstruction Using Overlapped Frames in Fragment Construction
Authors: Shintomi Yuta , Shimmyo Yohei , Okuyama Yuichi , Nishimura Satoshi
Published: September 2022

We present a 3D reconstruction system using RGB-D video. The key idea is to share both ends of RGB-D frames between adjacent subsequences. We implemented a novel 3D reconstruction system based on a conventional one, Open3D, and compared the conventional method to the system with the shared frames. We experimented with four datasets: three public datasets and one our proposed dataset. The our proposed dataset has quicker camera movement than the public datasets and is challenging to reconstruct. Our experiments demonstrate that our system reconstructs better synthetic scenes from the challenging dataset as the number of the shared frames increases and scenes from the other dataset retain reconstruction quality.
Database Migration Tools: From RDB to NoSQL Database
Authors: Bansal Neha , Sachdeva Shelly , Awasthi Lalit K.
Published: September 2022

Migration is a complex process and involves many challenges like correct schema mapping, correct data transfer, indexing, and error fixing. The objective of data migration is to enhance the overall quality and usefulness of the data. Database migration is difficult to do manually, and numerous tools have been developed to simplify the complicated task. This paper outlines the existing data migration tools present in the market. We have classified the tools into two categories: 1. Academic research-based tools, 2. Industry-driven tools. Academic researchers developed and proposed Academic research-based tools, whereas Industry-driven tools are produced by many popular organizations like Google, Amazon, IBM, and Microsoft. Thus, this study aims to contribute to the state-of-the-art database migration field, an active area of research over the past decade. Additionally, it serves as a foundation for selecting and developing relational-to-NoSQL data migration tools. This paper proposes future research directions to facilitate the broader adoption of migration tools in Academia and Industry.
An Efficient Insect Pest Classification Using Multiple Convolutional Neural Network Based Models
Authors: Ung Hieu Trung , Ung Huy Quang , Nguyen Trung T. , Nguyen Binh T.
Published: September 2022

Accurate insect pest recognition is significant to protect the crop or take the early treatment on the infected yield, and it helps reduce the loss for the agriculture economy. Designing an automatic pest recognition system is necessary as manual recognition is slow, time-consuming, and expensive. The Image-based pest classifier using the traditional computer vision method is not efficient due to the complexity. Insect pest classification is difficult because of various kinds, scales, shapes, complex backgrounds in the field, and high appearance similarity among insect species. With the rapid development of deep learning technology, the CNN-based method is the best way to develop a fast and accurate insect pest classifier. We present different convolutional neural network-based models for solving challenges in the insect pest recognition problem, including attention, feature pyramid, and fine-grained models. We evaluate our methods on two public datasets: the large-scale insect pest dataset, the IP102 benchmark dataset, and a smaller dataset, namely D0 in terms of the macro-average precision (MPre), the macro-average recall (MRec), the macro-average F1- score (MF1), the accuracy (Acc), and the geometric mean (GM). The experimental results show that combining these convolutional neural network-based models can better perform than the state-of-the-art methods on these two datasets. For instance, the highest accuracy we obtained on IP102 and D0 is 72.91% and 99.89%, respectively, bypassing the corresponding state-of-the-art accuracy: 67.1% (IP102) and 98.8% (D0). We also publish our codes for contributing to the current research related to the insect pest classification problem.
Bringing Linguistics to a Programming Class: A Problem of Automatic Text Generation for Describing Data Series
Authors: Pyshkin Evgeny , Blake John
Published: September 2022

This study focuses on a variety of aspects of teaching programming which can connect the agenda of programming classes to foreign language learning and the broader scope of applied linguistics. In the domain of developing computer-assisted interactive tools for language learning, we can discover a number of interesting and non-trivial problems that can be suggested to students participating in programming classes. Specifically, this study reports an example from our project on the automatic generation of data series trend descriptions to accompany presentation graphs and charts. Originally designed for language learning purposes, this project can be revisited for possible applications as programming exercises that serve as vehicles for a problem-based learning approach to class organization. In general, we believe that through working on, and hopefully, solving practical problems students can apply the content studied in other classes. This application can significantly enhance the knowledge and skills students obtain in programming classes; and thus, improve their professional skill set.
A Study on an Imbalanced Data Processing Method with Maharanobis-Taguchi System
Authors: Kurematsu Masaki
Published: September 2022

Imbalance data processing is one of big issues for machine learning. There are some proposed approaches. On the other hand, Maharanobis-Taguchi System (MTS) is a well-known approach in quality engineering. Although the target of both researches are similar, there are few researches combining these methods. In this paper, we focus on the similarity between them and propose a method to handle the imbalance data with MTS. Our proposal makes 2 prediction models, one is based on MTS and the other is based on a machine learning algorithm, from imbalanced data as following steps. First, it divides the training data into the major class, the minor class and the border class by Maharanobis distance gotten by MTS. Secondly, it makes a prediction model from the border class using a machine learning algorithm. This model is the second prediction model. In order to classify new instances, our proposed idea classifies by the first model based on MTS firstly. If it is classified in the major or minor class, the method answers this classification result, otherwise, it classifies by the second models based on a machine learning algorithm. In order to evaluate this idea, we handle some the imbalanced data by our idea and other methods and compare those results. Although the experimental result doesn’t show the advantage of our idea, we get the suggestion for improving our approach.
Effects of Simvastatin on Plasma Amyloid-β Transport in Patients with Hyperlipidemia: A 12-Week Randomized, Double-Blind, Placebo-Controlled Trial
Authors: Wei Shan , Dang Liangjun , Gao Fan , Wang Jingyi , Wang Jin , Qu Qiumin
Published: September 2022

Background: Abnormal blood lipids are associated with cognitive impairment and amyloid-β (Aβ) deposition in the brain. However, the effects of statins on Alzheimer’s disease (AD) have not been determined. Objective: Considering that plasma Aβ are related to Aβ deposition in the brain, we investigated the effects of simvastatin on plasma Aβ transport. Methods: This was a randomized, double-blind, placebo-controlled trial. One hundred and twenty patients with hyperlipidemia were randomly assigned to receive 40 mg of simvastatin per day or matching placebo for 12 weeks (sixty patients per group). Plasma Aβ, sLRP1, sRAGE, and lipid levels were measured at baseline and at the 6-week and 12-week visits. Results: The ITT database ultimately included 108 participants (placebo group: n = 53; simvastatin group: n = 55) and 64 (59.3%) were women, ranging in age from 45 to 75 years (mean 57.2±6.9 years). Multiple linear regression analysis showed that, after 12 weeks of follow-up, compared with the placebo group, ΔAβ42 levels (the change of Aβ42 levels from baseline at week 12) increased more and ΔsRAGE levels decreased more in the simvastatin group (Aβ42: β= 5.823, p = 0.040; sRAGE: β= –72.012, p = 0.031), and a significant negative association was found between ΔAβ42 and ΔsRAGE levels (β= –0.115, p = 0.045). In addition, generalized estimation equation analysis showed that triglycerides levels were negatively correlated with Aβ40 (β= –16.79, p = 0.023), Aβ42 (β= –6.10, p = 0.001), and sRAGE (β= –51.16, p = 0.003). Conclusion: Daily oral simvastatin (40 mg/day) in patients with hyperlipidemia for 12 weeks can significantly increase plasma Aβ42 levels compared with placebo, which was associated with reduced triglycerides and sRAGE levels, indicating that statins may affect plasma Aβ transport.
A CVaR optimization method for priority of hesitant fuzzy preference relation with chance constraint
Authors: Wang Xindi , Xu Zeshui , Qin Yong
Published: September 2022

In this paper, we establish a chance constrained model for the priority of hesitant fuzzy preference relation based on the idea of statistical distribution for preference information as stochastic variables with unknown distribution. Inspired by the idea of conditional value-at-risk (CVaR) robust optimization, a deterministic convex reformulation is proposed for tackling the chance constrained problem. The existing state-of-the-art methods usually assume that the probability density function of preference information is known a priori, such as Gaussian distribution. However, it is generally over-conservatism. On the contrary, our proposed method provides a tractable second-order cone (SOC) reformulation for the chance constrained problem with the first and second moments, which is easy to handle and calculate. We also analyze the weight acquisition problem of hesitant fuzzy preference relation with unknown distribution preference using the SOC programming method, and obtain the priority weight with its approximately equivalent computationally tractable conic optimization model. A case study is conducted which shows that the proposed method achieves a good general conclusion by comparing it with the optimization method under Gaussian distribution. In addition, this method can also get better decision support for incomplete preference information.
RETRACTED: Dynamic load balancing upon the replication and deletion of cloud services
Authors: Hemam Sofiane Mounine , Hioual Ouided , Hioual Ouassila
Published: September 2022

This article has been retracted. A retraction notice can be found at https://doi.org/10.3233/JIFS-219433.
Knowledge of falls risk factors in older adults among physiotherapy students in Malaysia
Authors: Zulaikha Sarah , Justine Maria , Joanny Angelbeth , Che Mood Aslinda , Mohan Vikram
Published: September 2022

INTRODUCTION: Knowledge of the risk factors for falls is necessary for the prevention of falls in older adults. This study aimed to identify the levels of knowledge of the risk factors of falls among physiotherapy students in Malaysia. METHODS: A total of 239 physiotherapy students from seven institutions completed a two-section questionnaire about their sociodemographic information and knowledge regarding risk factors for falls (balance/gait disorders, muscle weakness, environmental hazards, postural hypotension, sensory/perceptive deceptive, multiple medications, impaired cognitive and foot/footwear problems) that were answered on a Likert scale ranging from “Not very important (1)” to “Very important (5)”. RESULTS: Analysis indicated that only two factors scored means of > 4, namely balance/gait disorders and muscle weakness, with 82.8% and 65.7% responded “very important”, respectively. The factors with the lowest means were postural hypotension (3.41±1.40) and multiple medications (2.97±1.21), in which the majority of the participants responded as “somewhat unimportant” or “moderately important. Students studying full-time and those with no working experience were significantly better than part-time students and those with working experience, respectively, in the level of knowledge of risk factors of falls (Both p < 0.05). CONCLUSION: This study suggests that physiotherapy students in Malaysia may have insufficient knowledge about the risk factors of falls as all factors should be deemed very important. The higher education providers should design a comprehensive curriculum considering all factors, especially postural hypotension and multiple medications.
Use of virtual reality for targeted physical rehabilitation: Case report on managing functional motor disorder
Authors: Nguyen Alan T. , Hemphill Sydney , Donahue Bridgette , Menendez Maria , Rodriguez Samuel , Caruso Thomas J.
Published: September 2022

Virtual reality (VR) technology has seen increasing use in physical rehabilitation and in the management of acute and chronic pain. Functional movement disorders (FMDs) are a source of disability with no known association to neurologic pathology, and patients are generally offered multidisciplinary treatment approaches to improve functional movement. However, patients who are not compliant with rehabilitation may have persistent FMD and long-term disability. Given VR’s use in physical rehabilitation, it may serve as a useful adjunct for the management of FMD. Utilizing an application called MovementTM to create a playlist of targeted applications for the restoration of motor function and balance, this case study presents the application of VR as a tool to engage patients in physical therapy for the management of FMD. The VR games were selected to encourage movement while customization of levels within the games facilitated achievement of physical therapy goals. Physical rehabilitation aided by VR, when used in collaboration with a multidisciplinary care team, may be used to facilitate recovery from FMD.
Gaze stability in youth athletes: A normative observational study
Authors: Alexander Amy , Hattrup Nicholas , Gerkin Richard , Pardini Jamie E.
Published: September 2022

BACKGROUND: The Gaze Stabilization Test (GST) assesses vestibulo-ocular reflex (VOR) function by determining the maximum head velocity at which an individual can accurately perceive a fixed-size visual target. There is limited information about gaze stability performance in youth athletes. OBJECTIVE: The purpose of this study is to describe baseline performance of athletes ages 17 years and under on a computerized GST and explore the influence of demographic characteristics on performance. METHODS: Baseline GST and demographic data were acquired via retrospective chart review. RESULTS: The sample included 106 athletes aged 8 to 17 years (mean 13.9 years±1.79; 78% male). The median values for baseline GST function were 180 (IQR: 150–210) degrees per second (d/sec) in the leftward direction, and 190 d/sec (IQR: 160–220) in the rightward direction. There were no significant effects of sex/gender or concussion history on GST performance. CONCLUSIONS: The GST is one of many tools available for clinicians to use in a multi-modal approach to concussion management. Understanding how healthy young athletes perform can assist clinicians in determining vestibular impairment, formulating the exercise prescription, and estimating physiologic recovery.
The influence of white matter hyperintensities severity on functional brain activity in cerebral small vessel disease: An rs-fMRI study
Authors: Hu Ying , Yang Yifeng , Hou Xuewen , Zhou Yan , Nie Shengdong
Published: September 2022

OBJECTIVE: To investigate relationships between the severity of white matter hyperintensities (WMH), functional brain activity, and cognition in cerebral small vessel disease (CSVD) based on resting-state functional magnetic resonance imaging (rs-fMRI) data. METHODS: A total of 103 subjects with CSVD were included. The amplitude of low frequency fluctuations (ALFF), regional homogeneity (ReHo), functional connectivity (FC) and their graph properties were applied to explore the influence of WMH burden on functional brain activity. We also investigated whether there are correlations between different functional brain characteristics and cognitive assessments. Finally, we selected disease-related rs-fMRI features in combination with ensemble learning to classify CSVD patients with low WMH load and with high WMH load. RESULTS: The high WMH load group demonstrated significantly abnormal functional brain activity based on rs-MRI data, relative to the low WMH load group. ALFF and graph properties in specific brain regions were significantly correlated with patients’ cognitive assessments in CSVD. Moreover, altered rs-fMRI signal can help predict the severity of WMH in CSVD patients with an overall accuracy of 92.23%. CONCLUSIONS: This study provided a comprehensive analysis and evidence for a pattern of altered functional brain activity under different WMH load in CSVD based on rs-fMRI data, enabling accurately individual prediction of status of WMH.
MODELING OF WORK OF THE WOODEN BEAM WITH CONSEQUENTIAL LOADING
Authors: Gomon Petro
Published: September 2022

A detailed analysis of domestic and foreign publications on this issue, as well as building codes of different countries. After reviewing the sources, the main objectives of this article are set. 

The sequence of calculation of wooden beams with sequential loading is offered. Modeling of the element consists of the following stages: step-by-step determination of internal forces acting depending on the external load; establishment of stress-strain state in different cross-sections, namely curvature, position of the neutral line, determination of deformations, internal stresses at any point of the stretched and compressed zone; use of the curvature diagram to determine the rotation of the bending wooden element; construction of deviations of a bending element from initial position; search for maximum tangential stresses that may occur in different sections along the length of the beam. 

Two methods can be used to determine the rotation of the beam: the first option is the finite element method, breaking the bending element into a finite number of elements and determining the rotation of each of them; the second is to integrate the curvature change function along the length of the beam. 

The basic calculation schemes of wooden beams are given and the plots of stresses of their change of the neutral line are constructed. 

The stress-strain state of such elements in different cross sections is established. A method for determining the maximum tangential stresses is proposed. The method of finding deflections is given. A method for finding the curvature of the elements is proposed. 

The tasks for further research on this issue are given.
HOW TO BUILD UKRAINE FOR US
Authors: Dudar Ihor
Published: September 2022

The article is devoted to the definition and analysis of the main factors that will affect the duration and intensity of the reconstruction of fixed assets and the housing sector of Ukraine after the war. The relevance and modernity of this article is beyond doubt, as now this problem is given a lot of attention of government agencies, NGOs, scientists, architects, urban planners. This issue is discussed at conferences at various levels.
FORMATION OF RAILWAY STATION BUILDINGS ARCHITECTURE OF RAILWAY LVIV – SIANKY
Authors: Rotchniak Youri
Published: September 2022

On the basis of the imperial (1873/1903–1918), interwar (1919/1921–1939), soviet (1945–1991) and modern (since 1991) historical periods of Ukraine, the development of the architecture of railway buildings and other passenger structures of the railway branch Lviv - Sianky in the main functional, spatial, structural and artistic properties isstudied. All stations and stops of the studied line belong to the coastal type, have connections of landing platforms with station buildings and settlements in one ground level. The buildings of the Turka and Jasenyzia railway stations are the oldest, well-preserved and belong to the projects of the local Austrian group of the imperial period. The railway buildings of Komarno, Rudky, StaryiSambir, Strilky, as well as Boykivska, Vankovytchi, Yavora are unique in their characteristic silhouette and roof shape and can be found only on the Lviv - Sianky railway. In terms of style and composition, they reflect the then vision of the architecture of public buildings, as well as contain links and support the image of the former village houses of Boykivshchyna (Boykos Land). The trend in the formation of architecture of buildings and structures of Lviv - Sianky railway stations in general is due to changes in the scale of construction and methods of passenger service from the originally majestic two-story station buildings at stations with passenger, service and residential functions (in the imperial, interwar periods). buildings with ticket offices and waiting rooms (in the early Soviet period), - to serial metal structures of open waiting rooms at landing platforms (stops) with techniques and means of industrial design (in the late Soviet, modern periods).
TRANSFORMATIONS OF CITIES – REGIONAL CENTERS OF THE WESTERN REGION OF UKRAINE IN THE POST-SOVIET PERIOD
Authors: Habrel Mykola , Lysiaк Natalia , Habrel Taras
Published: September 2022

Characterization and analysis of structural-parametric transformations in cities - regional centers of the Western region are carried out. Assumptions are made on the basis of observations that changes lead to the deterioration of socio-ecological and economic parameters and architectural and aesthetic characteristics of cities. Comparison of transformations in selected cities - regional centers of the region indicates the phenomenon of fluctuation as an accidental (unreasonable) deviation of a quantity (process or phenomenon) from the average value in individual cities. The large number of different documents of this nature, aimed at different purposes, emphasizes the lack of a unified strategy for urban development. The inconsistency of documents of socio-economic and town-planning character, lack of an effective document of management of town-planning processes is highlighted. Management "in manual mode" causes unsystematic changes, the destruction of the basic principles of urban development, causes irreparable urban planning errors in their development. Assessment of transformations in post-Soviet cities reveals problems, conflicts and inconsistencies: lack of coordinated policies within newly created communities; territorial; ecological; exacerbation of transport problems; destruction of industry and economic structure; social; preservation of historical parts; aesthetic and spatial; engineering and technical; city resource management and uncontrolled processes.

Analysis and evaluation of processes, problems and structural-parametric transformations in the urban space should be the basis of a new methodological approach to substantiation of strategic decisions and updating urban development documents.There are requirements for urban planning documentation: the organization and development of cities as a system should be focused on increasing the efficiency of time, material resources and human potential; the development of cities on the basis of knowledge of problems and ways to solve them, including world experience, should be associated primarily with the disclosure of their spatial uniqueness. Generalization of the results of analysis and evaluation of structural and parametric transformations in cities indicates the growth of disorder in urban life and the growth of its dynamism, there are spaces of different attractiveness in functional, social and aesthetic terms.
Internet memes in the dimension of mass culture
Authors: Denysіyuk Zhanna
Published: September 2022

The purpose of the work is to study memes as objects of Internet creativity, which by genre typology and nature of distribution belong to mass culture and mass culture digital type of communication in the Internet network. The research methodology consists of the application of analytical, semiotic, and cultural methods in the study of visual-graphic and verbal types of Internet memes, which, thanks to their content-communicative characteristics, can form digital works belonging to mass culture. The scientific novelty of the work consists in the systematization of the typological characteristics of memes as a separate segment of Internet creativity and communication, which belong to mass culture and determine its content with new semantic codes and meanings. Conclusions. Memes as phenomena of mass culture and Internet creativity are both verbal and graphic-visual texts with genre and structure-forming potential in constructing other semiotically complicated texts of mass culture in the digital environment. Internet memes originate mainly in social networks, gradually spreading through other communication channels. The popularity and mass spread of memes are influenced by their ability to be used in many meanings and different communicative situations. According to their content, memes belong to precedent phenomena, which is a compressed form contain information about current events and phenomena of social reality, forming the appropriate context. In the process of communication, recognition, and "reading" of meme connotations, the expected result of achieving the text's main idea is ensured, which, in turn, can serve as a source for further creativity. Memes become sources of mass cultural creativity on the Internet and means of intercultural communication, with the help of which both a certain opinion is expressed and one's referentiality within the communicative environment is confirmed.
Key words: memes, mass culture, Internet communication, Internet environment, social networks.
Conceptualization of Modern Man's Moral Quest in the Work of Karin Alvtegen
Authors: Zhukova Nataliia
Published: September 2022

The aim of the work is to conceptualize the moral quest of modern man in the novels «Shame» and «The Butterfly Effect» by the Swedish writer K. Alvtegen. The methodological basis of the study is general scientific methods of analysis: historicism, systematization, comparison and generalization of the problem under study. A significant role in the analysis of the specificity of the creative process, the disclosure of the moral quests of modern man in the artistic work is played by an interdisciplinary approach, which allowed to attract scientific developments from the branches of cultural studies, philosophy, ethics and psychology. Scientific novelty: for the first time in Russian cultural studies the work of K. Alvtegen was analyzed in the context of the disclosure of the problem of moral quests of man in modern literature. Conclusions: K. Alvtegen's novels «Shame» and «Butterfly Effect» have been analyzed. It is shown that the author creates images of his characters, first of all, in the psychoanalytical perspective, relying on the ideas of different philosophical schools, while trying to fix the attention of readers on the moral aspect of human existence, in particular on the manifestation of shame, guilt and fear. It is noted that the work of K. Alvtegen is a significant phenomenon in the logic of the development of the modern literary process.
Key words: shame, guilt, fear, «will to meaning», psychological trauma, «existential turn».
Cultural aspects of Volodymyr Yanev’s scientific studies
Authors: Ovcharuk Olha
Published: September 2022

The purpose of the research is to reveal the cultural aspects of Volodymyr Yanev's scientific work in the context of cultural anthropological and ethnopsychological studies. The research methodology is based on the involvement of the humanistic approach as the basis for understanding the scientific heritage of V. Yanev; the synergistic approach is used as a methodological basis for the multifaceted analysis of conceptual ideas of cultural, anthropological, and ethnopsychological knowledge; the axiological approach is used to identify the value principles of V. Yanev's scientific work. The article uses the following methods: analytical - for the study of historical-philosophical, cultural, ethno-psychological works on anthropological issues; semiotic analysis - for the reconstruction of meanings, signs and symbols embedded in the analyzed works of the scientist; comparative analysis - to compare various scientific theories developed in the field of cultural anthropology and ethnopsychology. The scientific novelty of the article arises from the fact that the first scientific work of the outstanding Ukrainian scientist – Volodymyr Yanev is interpreted through the prism of cultural-anthropological and ethno-psychological discourse, formed in the fields of European and world science in the 20th century. It is proved that the concepts of the educational ideal of the Ukrainian person proposed by the scientists are correlated with the theories of the representatives of the American ethnopsychological school. It is substantiated that V. Yanev's scientific research in the field of ethnopsychology, the history of Ukrainian culture and art can significantly complement modern Ukrainian humanitarianism with important scientific achievements of foreign Ukrainian studies. Conclusions. Based on the achievements of various fields of scientific knowledge – cultural and social anthropology, ethnopsychology, characterology, etc., V. Yanev developed original ethnopsychological concepts. The problem of personality in culture was developed by the scientist by identifying the peculiarities of the individuality of the Ukrainian person, as well as the characteristics of Ukrainian national psychology and national character inherent in Ukrainians. The scientific work of Volodymyr Yanev can be considered a significant theoretical basis for the formation of a cultural paradigm in the field of domestic humanitarian knowledge.
Key words: scientific work of Volodymyr Yanev, cultural anthropology, ethnopsychology, Ukrainian man, cultural studies.
Conceptualization of the problem of creativity in the context of keystone fundamentals of cultural analysis
Authors: Sabadash Julia
Published: September 2022

The aim of the work is to investigate the problem of creativity based on the potential of cultural analysis. The methodology of the research is based on general scientific principles, namely, terminological and systemic. The aim and objectives of the publication led to the usage of such research methods as analysis, synthesis, generalization, which made it possible to clarify the meaning of a number of concepts and terms. Scientific novelty. Emphasis is made on the importance of interdisciplinarity, and personalization as factors that “anatomize” creativity, highlighting such structural element as “artistic creativity”, deepening in this way, the idea of a creative personality that can not only create but also change the paradigm of art. The idea of “cultural turn” is involved, in the logic of which the idea of creativity is corrected. Conclusions. Based on the interpretation of the phenomenon “creativity - artistic creativity” and taking into account the experience of Ukrainian experts, a new definition of creativity is proposed: “Creativity is a purposeful activity to create fundamentally new spiritual and material values that have both universal and national historical and cultural significance”. The stated definition is based on an interdisciplinary basis and outlines areas for further theoretical investigation in the sphere of cultural knowledge, as it allows to identify topics that need deep study in the context of factors of cultural analysis.
Key words: creativity, cultural analysis, “cultural turn”, “negative psychology”, avant-garde, purposeful activity, “fundamentally new”, experiment.
Modern problems of research of various vocal art: cultural dimension
Authors: Holovkova Marianna
Published: September 2022

The purpose of the article is to investigate the directions of actual theoretical generalizations of pop vocal art in the context of culturological vision of the problem. The research methodology is based on the use of culturological and art approaches in the study of this issue, as well as a set of methods such as analytical, structural, historical in the application of the concepts of "pop", "pop vocal art" in the context of mass music culture. The scientific novelty of the work is to expand the understanding of the vision of modern pop vocal art in the cultural understanding of the development of Ukrainian culture and national cultural space. Conclusions. Based on the study, the specifics of the influence of pop vocal art on the formation of socio-cultural space in Ukraine. Studies of pop vocal art are complex in nature, uniting the scientific field of the humanities, pop vocal art is presented as a link and subsystem of modern mass music culture. Transformational processes of socio-cultural space are the driving forces for the constant change and diversification of pop vocal art every day. Further study is needed on the culturological understanding of modern vocal pop music as a powerful factor that has the potential to influence the socio-political and cultural life of the country.
Key words: modern culture, Ukrainian pop, pop vocal art, cultural values