bluuebunny/crossref_metadata_2025 huggingface dataset:
Communication Overhead Schema Independent of Libraries for Software/Hardware Interface
Authors: Kobayashi Yutaro , Fujimoto Hiroshi , Azumi Takuya
Published: September 2022

Every year, embedded systems, such as self-driving systems, are becoming larger and more complex which requires high computing power yet low power consumption. To meet these requirements, there is an increase in the usage of many-core processors. However, thorough understanding of the concept of many-core processors is needed for these to be adopted. Therefore, Software-Hardware Interface for Multi-Many-Core (SHIM), a hardware abstraction description, was developed to reduce the burden on developers. However, SHIM cannot fully demonstrate communication overhead as it describes overhead in instruction units. For this reason, the communication overhead cannot be used to estimate execution time. With this, we propose a new schema that can describe the communication overhead in API units. In other words, the communication API overhead can be described without relying on communication libraries. To improve the usability of the existing schema, which is SHIM, we incorporated the proposed schema into SHIM. We set up what is required of the proposed schema, considered use cases, and actually created instance diagrams to evaluate the proposed schema. We also compared the proposed schema with SHIM and determined what needs to be modified when incorporating the schema. As a result, the proposed schema can express communication overhead that varies with the combination of cores and message size, while significantly reducing the amount of description.
Evaluating Style-Similarity in Extractive Summarization Techniques
Authors: Klaus Svea , Bernabé-Moreno Juan , Herrera-Viedma Enrique
Published: September 2022

It has never been easier to get access to content. Rather, we are facing an ever increasing overload which undermines the ability to identify high-quality content relevant to the user. Automatic summarization techniques have been developed to distil down the content to the key points and shorten therewith the time required to grasp the essence and judge about the relevance of the document. Summarization is not a deterministic task and depends very much on the writing style of the person creating the summary. In this work we present a method to, given a set of human-created summaries for a corpus, establishes which automatic extractive summarization technique preserves best the style of the human summary writer. To prove our approach, we use a corpus of 1000 articles by Science Daily with the corresponding human-written summaries and benchmark 3 extractive summarization techniques (BERT-based, keyword-scoring-based and a Luhn summarizer), indicating the best style-preserving method and discussing the results.
Eficiency of REST and gRPC Realizing Communication Tasks in Microservice-Based Ecosystems
Authors: Bolanowski Marek , Żak Kamil , Paszkiewicz Andrzej , Ganzha Maria , Paprzycki Marcin , Sowiński Piotr , Lacalle Ignacio , Palau Carlos E.
Published: September 2022

The aim of this contribution is to analyse practical aspects of the use of REST APIs and gRPC to realize communication tasks in applications in microservice-based ecosystems. On the basis of performed experiments, classes of communication tasks, for which given technology performs data transfer more efficiently, have been established. This, in turn, allows formulation of criteria for the selection of appropriate communication methods for communication tasks to be performed in an application using microservices-based architecture.
Maximizing Information Flow Path Coverage in Cyber-Physical Systems Using Metaheuristic Optimization
Authors: Gries Stefan , Gruhn Volker
Published: September 2022

Cyber-Physical Systems change at runtime, so errors are very difficult to trace. The Information Flow Monitor is a tool that captures semantic dependencies between exchanged information. To do so, we use spy nodes as observing instances distributed throughout the network. The positioning of the spies is thus important to cover as many information paths as possible. In this paper, we examine guidelines to achieve high path coverage with as less as possible spies. Using an evolutionary algorithm, a machine learning technique, we develop a metaheuristic that enables us to quickly select such spy sets.
Prioritizing Defects for Debugging with Requirement-to-Test-Case Mappings
Authors: Jarzabek Stanislaw , Boldak Cezary
Published: September 2022

Suppose regression testing reported many defects, and now we need decide about the order in which to correct them. In addition to commonly used defect prioritization based on their business importance, we propose to take into account also dependencies among defects, and to correct defects in an order that reduces the overall debugging effort. A goal here is to start by fixing root causes of failures, i.e., defects that may be causing many other program failures. A related goal is to avoid prematurely fixing defects that depend on other, yet to be fixed defects, as this is likely to incur wastage of time. Our proposed method requires that test cases have been mapped to relevant software requirements. We defined heuristics to infer defect dependencies, and a suitable defect debugging order from these mappings. The process is semi-automatic, supported by a tool called TRAcker. TRAcker accepts test results, performs heuristics-based computations, and recommends a time-efficient defect debugging order from the perspective of defect dependencies. TRAcker’s filtering and visualization features allow a user to participate in the process, so that tool recommendations as well as other factors can be taken into account. We show that defect prioritization on technical and business grounds together contribute to effective debugging.
Development of PHITS Plugin for Calculating the Integral Radiation Dose on Robots
Authors: Suzuki Kenta , Kawabata Kuniaki
Published: September 2022

This paper describes the development of PHITS Plugin for calculating an integral radiation dose for the estimation of the effects of radiation on robots. PHITS Plugin is an extension of Choreonoid, and it was developed to contribute to design the system of the robots and to plan remote operations. We discuss the functional requirements to compute the dose distribution for calculating the integral radiation dose during the physical simulation. Also, we demonstrate to calculate the dose distribution by utilizing multiple radiation source examples.
Exudates Detection Based on SSD MobileNet for Referable Diabetic Retinopathy
Authors: García-Nonoal Zaira , Nakano-Miyatake Mariko , Perez-Meana Héctor , Gonzalez-H.Leon Ana
Published: September 2022

Automatic detection of the referable Diabetic Retinopathy (RDR) has become essential in diabetic patients, especially who live in the remote regions, to avoid a serious visual impairment. For this reason, different approaches have been developed with the aim of detect and segment the principal DR lesions for automatic diagnosis of the RDR. Exudate is one of the DR lesions and if these lesions appear in the macular region, a diabetic macular edema (DME) can be suspected and a detailed analysis by ophthalmologist is required. Then it is important to detect these lesions with their position related to the macular region to determine the danger level. This paper presents an automatic method to localize the exudates and optic disc (OD) using Single Shot Detector (SSD) scheme based on MobileNet-V1 as base network to determine if the risk of DME exits to indicate patients the necessity of consultation by ophthalmologist. The proposed system is evaluated using MESSIDOR Database, providing 89.15% accuracy, 88.17% sensitivity and 91.67% specificity.
Image Entropy Equalization for Autoencoder-Based One-Class Classification
Authors: Hayashi Toshitaka , Cimr Dalibor , Cimler Richard
Published: September 2022

Autoencoder (AE) is a common technique for one-class classification (OCC). Reconstruction error (RE) is used to classify one seen class or other unseen classes. However, AE-based OCC (OCAE) does not provide a high AUC score. This study considers the hypothesis that RE is related to image entropy, and the OCAE is biased due to the image entropy differences. Based on such a hypothesis, this paper proposes image entropy equalization as the preprocessing technique. In which, image pixels are replaced by a defined set of pixels. Entropy equalized images are experimented with OCAE using MNIST, Fashion MNIST, and CIFAR10 datasets. Image Entropy Equalization improves AUC scores with several seen classes, where the improved classes have relatively high entropy on original images.
Challenges in Fuzzy Decision Making for Future Research
Authors: Trillo José Ramón , Herrera-Viedma Enrique , Higueras-Ruiz María José , Alonso Sergio , Morente-Molinera Juan Antonio , Cabrerizo Francisco Javier
Published: September 2022

Fuzzy Decision Making is a line of research that has had an important presence in the literature since 1965 until nowadays. From that year to the present, the line of research has been consolidated. The research field goals have evolved along with all the research that makes use of these systems and the new technologies requirements. Therefore, new challenges, different from the ones that were faced at the beginning, need to be solved. The aim of this paper is to describe the recent challenges faced by those working in this line of research. This paper will help researchers to know how their work should be oriented in the future.
Deep Reinforcement Learning Approach for Maintenance Planning in a Flow-Shop Scheduling Problem
Authors: Marchesano Maria Grazia , Staiano Luigi , Guizzi Guido , Castellano Davide , Popolo Valentina
Published: September 2022

Deep Reinforcement Learning (DRL) has been included into the production system for multiple objectives, including control, scheduling, and maintenance planning. Maintenance must be planned sensibly and economically in order to preserve the usable life of the production systems while not sacrificing productivity and so minimising costs and losses. In this work a hybrid simulation-based and DRL approach is employed to develop an agent that can autonomously determine when to do preventative maintenance by considering the failure probability at a particular instant and the length of time since the last maintenance operation has been performed. The novelty of this approach is the configuration of the DRL setting, in particular the reward function. Results are promising comparing the approach with a heuristic from the literature, as they show that the frequency of machine failures is dramatically reduced.
Fracture Animation Procedure Using Crack Patterns Generated by L-System
Authors: Nishidate Yohei , Takato Megumi
Published: September 2022

In this study, an empirical approach toward visually convincing fracture animation is considered for entertainment purposes. We aim to achieve a real-time fracture animation where the user can directly specify the possible geometry of cracks, but the resulting geometry of fragments is realistic. Our procedure comprises four main tasks: generating a crack pattern on a two-dimensional object through the L-system and the Turtle graphics concept, detecting the shape of fragments by the angle-prioritized depth-first search (AP-DFS), and then classifying it by the compression and classification (CC) procedure, and finally generating three-dimensional objects by sweeping. In the first task, the L-system controls topological complexity, such as the number of branches and how frequent a specified pattern can appear, and the Turtle graphics parameters control geometric complexity, such as the distribution of cracks. A rigid body dynamics simulator has been developed, implementing the above procedure to prepare objects for fracture animation. Through the verification by the rigid body dynamics simulator, we confirmed that the developed application could be used for a new fracture animation procedure based on tailored crack patterns.
Implementation of UI Methods and UX in VR in Case of 3D Printer Tutorial
Authors: Paszkiewicz Andrzej , Salach Mateusz , Ganzha Maria , Paprzycki Marcin , Bolanowski Marek , Budzik Grzegorz , Wójcik Hubert , Konstantinidis Fotios , Palau Carlos E.
Published: September 2022

In this work, the development of virtual reality software for “industrial applications” is considered. It is argued that, in this context, the vast experience from the development of computer games cannot be used directly. Especially, the specific nature of solutions dedicated to industrial applications requires taking into account their specificities, needs, and limitations of VR. This brings about the formulation of a domain-specific approach to creation of VR-related courses for the industry. As an example, the development of course concerning the operation of a professional 3D printer, which is used in industry, as well as in prototyping, is discussed. In particular, it is used to illustrate implementation of UI and UX aspects of the developed VR-environment.
Knowledge Transfer Patterns to Make Disciplinary Knowledge Explicit – Exemplified by HPC
Authors: Hilbrich Marcus
Published: September 2022

High-Performance Computing (HPC) deals with parallel hard- and soft-ware since decades—with quite impressive results. Nowadays, we have parallel hardware (e.g., multi-core and many-core CPUs) in nearly every device, but parallel software is still a challenge, especially for non-HPC experts. Thus, we do not use the full potential of today’s hardware yet, and software developers have only a limited understanding of the possibilities of parallel hardware. Software performance engineering (SPE) confirms this statement. So, why are HPC projects successful, but other scientists often fail on parallelization challenges? Because they are no HPC experts and lack the needed knowledge. They do not become HPC experts because they are experts in other disciplines (of computer science)! To tackle this knowledge transfer challenge, we present the concept of our pattern catalog, describe why it is needed, why it is an adequate approach, and give examples of patterns. Our approach helps the HPC Community to make their knowledge explicit and makes it easier to transfer gathered knowledge from HPC to other disciplines.
A Lightweight CNN-Based Pothole Detection Model for Embedded Systems Using Knowledge Distillation
Authors: Musa Aminu , Hassan Mohammed , Hamada Mohamed , Kakudi Habeebah Adamu , Amin Md. Faizul Ibne , Watanobe Yutaka
Published: September 2022

Recent breakthroughs in computer vision have led to the invention of several intelligent systems in different sectors. In transportation, this advancement led to the possibility of proposing autonomous vehicles. This recent technology relies heavily on wireless sensors and Deep learning. For an autonomous vehicle to navigate safely on highways, the vehicle needs equipment to aid with detecting road anomalies such as potholes ahead of time. The massive improvement in computer vision models such as Deep Convolutional Neural networks (DCNN) or vision transformers (ViT) resulted in many success stories and tremendous breakthroughs in object detection tasks; this enabled the use of such models in different application areas. But many of the reported results are theoretical and unrealistic in real-life. Usually, the nature of these models is extensive; they are trained on High-performance computers or cloud computing environments with GPUs, which challenge their usage on edge devices. However, to come up with a light model that can fit into embedded devices, the model size has to be reduced significantly so that the performance will not be affected. Therefore, this paper proposes a lightweight model of pothole detection for an embedded device. The model achieved a state-of-the-art accuracy of 98%, with the number of parameters reduced to more than 70% compared with a deep CNN model; the model can be trained and deployed on embedded devices such as smartphones efficiently.
LibForce: C++ Library for Reinforcement Learning
Authors: Shiraga Yukito , Nakamoto Yukikazu
Published: September 2022

In this paper, we introduce LibForce, a Deep Reinforcement Learning library built using C++ and LibTorch (PyTorch C++ Frontend). Deep reinforcement learning has reached great milestones and is expected to be implemented in the real world. We aim to realize the application of reinforcement learning in embedded devices. Embedded devices require short response times and small loads avoid runtime errors that Python programs may cause. Moreover, these devices have an affinity for C++ in software implementation. By supporting the implementation of reinforcement learning in C++, we can facilitate its implementation in embedded devices and support its deployment in the real world. Therefore, we developed LibForce, a reinforcement learning library in C++, especially for C++ beginners. A feature of LibForce is template parameters of a class are restricted with specified types using the C++ concept function to avoid C++ beginners’ misuse of classes. Moreover, the feature enables replacement of classes used in a reinforcement learning program. Herein, we present the specifications and implementation of LibForce, and show the effectiveness of the library with usage examples.
The effect of a single session of isometric handgrip exercise on blood pressure
Authors: Wan Yusof Wan Mohammad Nazrin , Nasaruddin Wan Nor Syahirah , Hami Rohayu , Che Muhamed Ahmad Munir , Ahmad Yusof Hazwani
Published: September 2022

BACKGROUND:

It is unknown whether a session of isometric handgrip (IHG) exercise can influence the blood pressure of hypertensive and normotensive individuals.

OBJECTIVE:

To compare post exercise hypotension among groups with different resting blood pressure (BP) levels.

METHODS:

56 Malay male volunteers (12 normotensive, 14 pre-hypertensive, 19 hypertensive stage 1, and 11 hypertensive stage 2) completed four sets of 2-minute isometric handgrip exercises at 30% of their maximum handgrip contraction with a one-minute break between the sets. Systolic BP (SBP), diastolic BP (DBP), pulse pressure (PP), mean arterial pressure (MAP), resting heart rate (RHR), and handgrip strength (HGS) were measured before and after an hour of IHG exercise. A paired sample [Formula: see text]-test, one-way ANOVA, and two-way repeated measure ANCOVA were used to examine the data.

RESULTS:

All parameters, except RHR and PP, were significantly changed following the exercise across the BP groups. The SBP, MAP, and HGS were greatly reduced among hypertensive stage 1 (SBP [Formula: see text]6.3 [Formula: see text] 0.6 mmHg; MAP [Formula: see text]4.8 [Formula: see text] 1.1 mmHg; HGS [Formula: see text]6.8 [Formula: see text] [Formula: see text]0.4 mmHg) compared to other groups. Meanwhile, the most DBP was reduced among hypertensive stage 2 (mean [Formula: see text]5.2 [Formula: see text] 0.6 mmHg).

CONCLUSIONS:

The current study discovered a significant reduction in BP among hypertensive stage 1 and 2 individuals after a session of IHG exercise.
The effects of open government data on the inclusiveness of governance networks: Identifying management strategies and success factors
Authors: Reggi Luigi , Dawes Sharon S. , Gil-Garcia J. Ramon
Published: September 2022

In order to improve legitimacy, accountability and effectiveness for both policy making and service delivery, governance networks can benefit from the knowledge, skills and other key resources of external actors. However, these networks are often prone to social and cognitive exclusion of outsiders, reducing the potential benefits of greater inclusiveness and diversity. Inclusiveness within governance networks is defined here as the possibility for new actors to both enter the network and to influence its decisions. Based on an extensive literature review, this paper argues that Open Government Data (OGD) strategies and related technologies can potentially contribute to governance network management strategies aimed at preventing social and cognitive exclusion. We propose a conceptual model of how these relationships work. However, empirical evidence from the literature included very few cases in which the positive effect of OGD strategies has actually been achieved. Therefore, we also identify two critical success factors that appear to be needed: (1) proactive data strategies to expand the network of interested parties and their ability to use data, and (2) empowering new interested actors by promoting their access to structural and formal roles in the network and systematically integrating their feedback into the policy cycle.
Circulating Amyloid-β and Methionine-Related Metabolites to Predict the Risk of Mild Cognitive Impairment: A Nested Case-Control Study
Authors: Fu Jingzhu , Zhu Yun , Sun Yue , Liu Qian , Duan Huilian , Huang Ling , Zhou Dezheng , Wang Zehao , Zhao Jing , Li Zhenshu , Du Yue , Liu Huan , Ma Fei , Chen Yongjie , Sun Changqing , Wang Guangshun , Li Wen , Huang Guowei
Published: September 2022

Background: The high cost, limited availability, and perceived invasiveness of amyloid PET and cerebrospinal fluid biomarkers limit their use for the diagnosis of Alzheimer’s disease. Objective: The present study aimed to assess the associations of mild cognitive impairment (MCI) with circulating amyloid-β (Aβ), methionine circulating metabolites (MCMs), and their downstream products, and to develop a nomogram based on these easily accessible blood indexes for the individualized prediction of MCI risk in older adults. Methods: In this nested case-control study, we recruited 74 MCI patients and, for each, 3 matched controls (n = 222) within the context of the Tianjin Elderly Nutrition and Cognition (TENC) cohort, a population-based prospective study in China. Concentrations of Aβ, MCMs, and their circulating downstream factors (i.e., leukocyte telomere length and inflammatory cytokines) were evaluated in fasting blood sample using standard procedures. We constructed a nomogram for MCI harnessed multivariable logistic models incorporating variables selected in the Lasso regression. Results: Among the many biomarkers examined, the final prediction nomogram retained only 3 factors: Aβ42/Aβ40 ratio, Hcy, and SAM/SAH ratio. The model achieved favorable discrimination, with a C-statistic of 0.75 (95% confidence interval 0.69–0.81) in internal validation after adjustment of optimism. The calibration accuracy was satisfactory; the Brier score of the model was 0.161 in internal validation after adjustment of optimism. Conclusion: his study presents an individualized prediction nomogram incorporating only three blood biomarkers (i.e., Aβ42/Aβ40 ratio, Hcy, and SAM/SAH ratio), which can be conveniently utilized to facilitate early identification and the development of high-risk prevention strategies for MCI in older adults.
Alzheimer’s Disease Diagnosis Based on the Amyloid, Tau, and Neurodegeneration Scheme (ATN) in a Real-Life Multicenter Cohort of General Neurological Centers
Authors: Baldeiras Inês , Silva-Spínola Anuschka , Lima Marisa , Leitão Maria João , Durães João , Vieira Daniela , Tábuas-Pereira Miguel , Cruz Vitor Tedim , Rocha Raquel , Alves Luisa , Machado Álvaro , Milheiro Miguel , Santiago Beatriz , Santana Isabel
Published: September 2022

Background: The ATN scheme was proposed as an unbiased biological characterization of the Alzheimer’s disease (AD) spectrum, grouping biomarkers into three categories: brain Amyloidosis-A, Tauopathy-T, Neurodegeneration-N. Although this scheme was mainly recommended for research, it is relevant for diagnosis. Objective: To evaluate the ATN scheme performance in real-life cohorts reflecting the inflow of patients with cognitive complaints and different underlying disorders in general neurological centers. Methods: We included patients (n = 1,128) from six centers with their core cerebrospinal fluid-AD biomarkers analyzed centrally. A was assessed through Aβ42/Aβ40, T through pTau-181, and N through tTau. Association between demographic features, clinical diagnosis at baseline/follow-up and ATN profiles was assessed. Results: The prevalence of ATN categories was: A-T-N-: 28.3%; AD continuum (A + T-/+N-/+): 47.8%; non-AD (A- plus T or/and N+): 23.9%. ATN profiles prevalence was strongly influenced by age, showing differences according to gender, APOE genotype, and cognitive status. At baseline, 74.6% of patients classified as AD fell in the AD continuum, decreasing to 47.4% in mild cognitive impairment and 42.3% in other neurodegenerative conditions. At follow-up, 41% of patients changed diagnosis, and 92% of patients that changed to AD were classified within the AD continuum. A + was the best individual marker for predicting a final AD diagnosis, and the combinations A + T+ (irrespective of N) and A + T+N+ had the highest overall accuracy (83%). Conclusion: The ATN scheme is useful to guide AD diagnosis in real-life neurological centers settings. However, it shows a lack of accuracy for patients with other types of dementia. In such cases, the inclusion of other markers specific for non-AD proteinopathies could be an important aid to the differential diagnosis.
Perioperative Care for Patients with Neuromuscular Disorders in the Netherlands – A Questionnaire Study Among Anaesthesiologists, Neurologists and Clinical Geneticists
Authors: van den Bersselaar L.R. , Gubbels M.H.M. , Jungbluth H. , Schouten M.I. , van der Kooi A.J. , Quinlivan R. , Scheffer G.J. , Riazi S. , Snoeck M.M.J. , Voermans N.C.
Published: September 2022

Background:

Patients with neuromuscular disorders are at increased risk of suffering perioperative complications. Current knowledge concerning this topic is based on small retrospective studies and expert opinion. Therefore, an individualized multidisciplinary approach to perioperative anaesthesia planning is invaluable to anticipate difficulties and to optimize outcomes.

Objective:

To evaluate current practice regarding preoperative counselling and perioperative care of neuromuscular patients, with the aim to facilitate standardization and improvement of perioperative care for neuromuscular patients.

Methods:

A questionnaire-based cross-sectional, observational study was conducted between July, 1st 2020 and December, 31st, 2020 in Dutch anaesthesia, neurology and clinical genetics departments. Main outcome measures were 1.) frequency of consultation requests for neuromuscular patients prior to surgery, 2.) current practice, educational activities and departmental approach to this topic and 3.) preoperative counselling of neuromuscular patients.

Results:

A total of 83 departments participated. Consultations for a neuromuscular patient scheduled for anaesthesia were requested from anaesthesia and neurology department only infrequently. Local guidelines concerning perioperative care of neuromuscular patients were available in 36.4% of the participating departments. Quality of specific training for residents and staff anaesthetists/neurologists covering perioperative care of neuromuscular patients was rated as ‘very good’ or ‘good’ by 42.9%. Neuromuscular patients scheduled for surgery were ‘always’ or ‘often’ discussed in multidisciplinary meetings involving anaesthesiologists and neurologists in 20.8% of the participating departments.

Conclusion:

Perioperative care for neuromuscular patients in the Netherlands is highly variable and might benefit from guidelines, education of health care professionals and multidisciplinary meetings between anaesthesiologists and neurologists on a regular basis.
Chimeric Antigen Receptor (CAR) T-cell Treatment in Renal Cell Carcinoma: Current Clinical Trials and Future Directions
Authors: Lyou Yung , Dorff Tanya B.
Published: September 2022

Renal cell carcinoma (RCC) has long been found to be responsive to immunotherapy. While high dose interleukin-2 resulted in some durable remissions, this treatment has largely been replaced by immune checkpoint inhibitor therapy, due to the safer toxicity profile and emerging evidence for long term remissions. However, the majority of patients continue to face disease progression and death from metastatic RCC. Chimeric antigen receptor T-cells (CAR T) represent the next step in immunotherapy for this malignancy and hold promise for a higher rate of durable remissions. The realization of this therapeutic strategy for RCC will require identification of the best tumor antigen and T cell modifications and will depend on achieving remissions with an acceptable toxicity profile. This review summarizes current CAR T-cell treatment targets and clinical trials for metastatic RCC, highlighting the potential therapeutic impact as well as obstacles to successful development.
INFLUENCE OF POSITION ERRORS ON THE STABILITY OF A LOADBEARING VERTICAL ROD OF GREAT FLEXIBILITY
Authors: Isayev Alexandr , Kulikovskaya Olha , Katushkov Volodymyr
Published: September 2022

Many building structures are considered as rod systems. Bearing elements of rod systems are under load and experience large stresses and deformations. When external loads increase, these stresses and strains also increase. There may come a point where some elements lack strength, stiffness or stability. Such cases may arise due to uneven settlement and roll of the structure in conjunction with errors in the manufacture and installation of structures, insufficient development of projects, etc. One of the main measures for the timely prevention of emergency situations is the properly organized monitoring of the stress-strain state of the elements. In this paper, we consider a model of stressed structure, which combines elements in the form of flexible deformable rods and elements acting on them, represented by force vectors. As an example, we consider a structure of two vertical rectilinear rods pointing along one plumb line and connected in a node. The lower rod is pinched in the base and is a load bearing element. The upper rod is an external load for the lower one and is represented by the equivalent force vector. In theory, the lines of action of forces lie on one vertical line, so there are no other forces and moments besides axial longitudinal forces; the forces are applied at one point with given coordinates. When constructing the rod system, each rod must be set to a given design position. There will be position errors of the elements during the installation phase of the structure. Position errors are generally represented by errors in the specified angles of inclination of the rods and errors in the position of the ends of the rods in the assembly. In a stressed structure, these errors are equivalent to the errors of the force vectors. A modified system of force vectors arises. In such a system, due to position errors, a horizontal force arises which has the main influence on the stability of the supporting flexible rod when the external load increases.
LEGAL ASPECTS OF ALLOCATION OF LAND FOR CONSTRUCTION OF PUBLIC ROADS
Authors: Kocheryhin Leonid , Gladilin Valeriy , Sidorko Natalia
Published: September 2022

The article reveals the theoretical issues and the procedure for allocating land for the construction of public roads.

The road system is an integral part of the national unified transport system. Over the years, the composition of the traffic flow has changed, the road network has expanded and planning has improved. Also, the networks of international and domestic transport corridors were expanded and the road infrastructure was modernized.

Solving the problems of the road complex development of Ukraine requires significant streamlining on the basis of modern innovations. It is determined that the economic, social and environmental components are the basis of the Transport Strategy of Ukraine for the period up to 2030. Positive results cannot be achieved without taking into account the national characteristics of the entire industry management system. Therefore, to ensure the integrity of the system in the industry, it is necessary to have in-depth analysis of key aspects of traffic characteristics.

The complexity of the legal regulation of land relations in the field of road transport determines the urgency of solving the problem of rational land use, and its legal framework requires further study and implementation in economic activities.
DETERMINATION OF THE COST OF RECOVERY OF BUILDINGS AND STRUCTURES WHICH HAVE RECEIVED DAMAGE AND DESTRUCTION (ENLARGED APPROACH)
Authors: Lisnychenko Serhii
Published: September 2022

Based on the analysis of regulatory documentation and documentary data, a structural-logical and mathematical model for determining the cost of restoration of buildings and structures that have suffered damage and destruction (according to the consolidated approach). 

The Cabinet of Ministers of Ukraine by its resolution [1] approved the procedure for determining the mechanism of operational response of executive bodies of village, settlement, city councils, military administrations, central executive bodies, governing bodies and civil defense forces, aimed at eliminating the consequences of armed aggression with damage to buildings and structures in areas where active phases of hostilities are absent or completed. Restoration of life in these areas involves determining the extent of destruction, inspection of damaged objects and determine the cost of their restoration.

Methodical recommendations [2] provide general normative materials on real estate appraisal in Ukraine, analyze the current state of real estate appraisal and provide a detailed algorithm for conducting examinations on research to determine the value of real estate, which has undergone significant damage and destruction, theoretical and practical issues.

The purpose of this article is to develop a structural-logical and mathematical model for determining the cost of restoration of buildings and structures that have suffered damage and destruction (according to the consolidated approach).

Research methods are based on the use of systems analysis, general scientific empirical (observation, description) and theoretical methods (analysis, synthesis).
ECOLOGICAL URBAN REGENERATION OF DEPRESSIVE TERRITORIES LARGE CITIES
Authors: Merylovа Іryna , Nevhomonnyi Hryhorii , Rechyts Olexandr , Turhan Iryna
Published: September 2022

Large cities are multifaceted organisms. They are arena of social and urban conflicts. In current conditions of technological development and improvement of the urban environment quality, local authorities are increasingly reorganize industrial areas.

The relevance of the article is determined by the global trend of finding new forms of renovation of depressed areas, which are explored quite well and reflected in the general vector of policy of developed countries. According to the research, it is ecological and urban forms of renovation that can ensure the efficient use of resources and create quality conditions to improve the living standard of population.

The purpose of the article is to establish ecological and urban forms of renovation of industrial areas.

The article substantiates the term "ecological and urban renovation", which main principle is to open new opportunities for depressed areas and buildings in order to improve the ecological and urban situation of the environment. Methods and approaches to the ecological and urban planning form of renovation of depressed areas are described. This allows adapting industrial architecture to modern urban conditions with a numerous architectural techniques.

The study examines foreign experience of redevelopment of industrial territories in Barcelona (Spain), Berlin (Germany), London (UK), Paris (France), Copenhagen (Denmark). The analysis of global practice shows that the most successful examples of ecological and urban transformation of industrial areas are implemented through the principle of landscape design and methods of integrating elements of industrial heritage into public space.

Consequently, by means of landscape design, the art space as a new phenomenon in the urban environment is created, which improves the aesthetic perception of the architectural city image. The experience has shown that industrial areas, which are located within the city, should be used for recreational and commercial facilities or residential real estate, whereas the areas near the city could be used for high-tech and environmentally-friendly industries.
MEDIA FORMATION OF DESIGN ELEMENTS OF LVIV ARCHITECTURAL ENVIRONMENT
Authors: Parneta Маriana , Parneta Bohdan
Published: September 2022

The modern rhythm of life necessitates the creation of new principles of organization of design elements in the architectural information and communication environment. Its media formation is a reflection of the spiritual and cultural values of modern society which are transformed into dynamic and interactive elements. The set of media visual elements of architectural space is a complex hierarchical system of different types. Although design objects play an important role in the perception of the architectural environment, they are not sufficiently studied in details today. To characterize the informative essence of visual elements of the modern architectural environment, their classification by function, time frame of action and location is proposed. The research was conducted on the example of media elements of the urban architectural environment of Lviv. Historical and modern visual elements of urban space design are analyzed. The signs of harmonious use of media design elements in the existing architectural environment are highlighted. The role of informative saturation of the city on the intuitive form of human perception is determined. The evaluation of the characteristic features of media design elements in Lviv was carried out. These features include content, functionality, subordination of composition and ergonomics.
URBAN PLANNING METHODS FOR PROTECTING TERRITORIES FROM NOISE
Authors: Pryimachenko Aleksey
Published: September 2022

The purpose of the article is to study the features of the formation of noise loads depending on the nature of development along the road network. Consideration of different typologies of development depending on the characteristics of the passage of the street and road network and the impact on the environmental load on the urban area.

The assessment of the acoustic load of the noise level of inter-main areas is an important step in the work of city planners, it determines the functionality of the use of the territory in the future, the number of necessary measures to protect the territory from noise. All this increases the role of assessment methods used in the analysis and selection of the most effective method of noise protection, the importance of urban planning aspects of the impact on the quality of the living environment of the population in the city.
SPATIAL MODELING OF AIR POLLUTION IN THE MAINLINE TERRITORIES
Authors: Tatarchenko Halyna
Published: September 2022

The impact of air pollution on citizens is largely dependent on urban planning decisions, so it is important to constantly control air pollution to reduce its impact on human health. 

The parameter of the permeability of the territory, which was introduced to assess the permeability of urban development relative to the wind flow, was proposed to be used as a coefficient of atmospheric air pollution from motor transport emissions and used to assess the potential for pollution of urban areas and manage atmospheric air quality. The largest number of areas of increased concentration of toxic emissions is formed in closed and frontal buildings near the main territories, however, in this case, screening of polluted air flows can reach 95%.

The data obtained allows us to identify rational and cost-effective packages of measures that can provide the necessary cleanliness of the air basin and help planners develop more effective projects, taking into account air pollution control and smart traffic management.
DETERMINATION OF THE OPTIMAL RATIOS OF THE SIZES OF GROUND HEAT ACCUMULATORS, LIMITED BY HEAT-INSULATING LAYERS
Authors: Chоvniuk Yuriy , Cherednichenko Petro , Moskvitina Anna , Peftieva Iryna
Published: September 2022

Accumulators of high thermal capacity are organized in a natural soil mass ordered by a set ("bush") of vertical/horizontal heat exchangers, which are placed either in boreholes or inside cylindrical cavities of a concrete mass in pipes. As a result of accumulation, a main region of accumulated heat is created, which is limited by the outer contour of the "bush", of a certain volume and with a certain temperature, as well as a buffer sub-region of a certain volume, which touches the main one and is the result of thermal interaction of the volume of the main region with the surrounding soil mass, which has constant temperature. The smallest dimensions of the buffer subregion will be in the case of a uniform temperature distribution over the main volume. This is achieved by organizing the same heat load that falls on each heat exchanger, the same potential of the intermediate heat carrier and a small difference in its temperatures, respectively, at the inlet and outlet of each heat exchanger, and a number of other requirements. The dimensions of the buffer subregion can be reduced by creating an upper heat shield. This will lead to a reduction in the dimensions of the entire structure and there will be no need for thermal insulation of pipelines that supply and discharge the coolant in the middle of the heat accumulator. In this case, the dimensions of the structure must be optimal, i.e. meet a certain criterion, in which the ratio of the volume of the buffer subregion to the volume of the entire heat accumulator is minimal. However, the optimization of the heat storage process in the presence of an upper heat-insulating shield, provided that the heat accumulator itself is located in a concrete building, has not been considered in the literature. Solutions to problems are presented that determine the optimal ratios of the sizes of ground heat accumulators placed in concrete casings and limited from above by a heat-insulating shield, and a method for finding the number of heat exchangers, their parameters and distances between them, which ensures minimal costs for the construction of the heat accumulator itself.
RESEARCH OF AEROIONAL AIR REGIME OF TRAINING FACILITIES AND DETERMINATION OF MEANS OF ITS NORMALIZATION
Authors: Burdeina Nataliia
Published: September 2022

Concentrations of air ions are an important indicator of indoor air quality, regardless of the purpose of the premises. Therefore, the concentrations of air ions are regulated by international standards. In Ukraine, the concentrations of air ions are determined by the hygienic labour classification according to the indicators of harmfulness and danger of production environmental factors, the severity and intensity of the labour process. The research of the concentration of air ions, their changes in space and time, as well as the development of organizational and technical measures for their normalization in training facilities is an urgent scientific and practical problem of civil security, which needs to be solved. The aim of the research was to study the dynamics of air ions concentrations changes in general-purpose training facilities and to develop measures for normalization and maintaining them at the level determined by the norms. For this purpose, the research of the dynamics of concentrations of n+ and n- air ions in training facilities during the school day was undertaken. The obtained measurement results allow us to make the following conclusions and provide recommendations. Measurements of changes in air ion concentrations during the school day in training facilities show that the most significant factor in deionization is finely dispersed dust, which is present in the air due to the movement of students during breaks, who leave and enter the classroom. A comparison of the data obtained for training facilities with and without exhaust ventilation shows that the air ion regime in the ventilated room is more stable. This difference increases with increasing ambient air quality due to more intense infiltration. The researches of similar indicators for office facilities have shown that the constant presence of staff also does not affect the air ion regime of the premises, i.e. these results can also be applied to the administrative facilities of higher education institutions. The serial humidifier increases the concentration of air ions of both polarities, so it is advisable to use them at least in specialized classrooms.
STRATEGI STORYTELLING SEBAGAI SARANA PENANAMAN AKHLAK MULIA PADA ANAK USIA DINI DI MADRASAH DINIAH NURUSSA’ADAH
Authors: Rahma tasya reffan Siti Syafatul
Published: September 2022

Dalam proses Penanaman akhlak mulia kepada anak usia dini tentu bukanlah perkarayang mudah, sebagai orangtua tentu harus menentukan cara atau metode yang tepat sesuai denganlevel perkembangan usia anak. Pada dasarnya anak usia dini belum mampu memahami konsep yang abstrak, level kognitif pada anak usia dini memikirkan segala sesuatunya secara konkrit. Di Madrasah Diniah Nurussa’adah, kondisi dan  keadaan siswa relatif memprihatinkan dimana etika adab sopan santun sudah menurun drastis, perangai watak cenderung kepada tabiat yang kasar, serta tak nampaknya tabiat jiwa sosial atau jiwa kesetiakawanan yang relatif masih rendah. Hal ini memerlukan perhatian spesifik untuk memberi arahan serta bimbingan kepada peserta didik dan  dibutuhkan kiat-kiat dalam menangani persoalan tersebut.  Metode Storytelling  akan menjadi sarana efektif untuk sarana penanaman akhlak mulia, melalui metode ini bisa  mempengaruhi cara berfikir dan berperilaku anak-anak, karena mereka senang mendengarkan atau dibacakan cerita. Tujuan dari penelitian ini yaitu untuk mengetahui implementasi strategi Storytelling sebagai sarana untuk penanaman akhlak mulia pada anak usia dini. Metode dalam penelitian ini menggunakan pendekatan kualitatif deskriptif, yaitu penelitian yang bermaksud untuk memahami fenomena tentang apa yang dialami oleh subjek penelitian. Pengumpulan data dilakukan dengan menggunakan metode observasi, wawancara, dokumentasi. Hasil penerapan Strateagi Storytelling sangat membantu peserta didik untuk mengetahui dan memahami ajaran agama Islam, sehingga kondisi peserta didik yang mulanya belum maksimal dalam menerapkan moral keagaamaan dapat terbina dengan baik, terbukti setelah Strateagi Storytelling diterapkan dalam pembelajaran diperoleh hasil adanya perubahan- perubahan yang siknifikan dan dalam kehidupan sehari-hari.
Manajemen Kurikulum dan Pengembangan Pembelajaran yang Berbasis Pada Nilai Multikultural di MTs N 15 Boyolali
Authors: Budi Utama Busrani , Rohmadi Yusuf
Published: September 2022

Tujuan dari penelitian ini adalah untuk mengetahui manajemen kurikulum dan pengembangan pembelajaran yang berbasis pada nilai multikultural di MTs N 15 Boyolali. Penelitian ini menggunakan metode penelitian kualitatif. Implementasi manajemen kurikulum yang berbasis pada nilai multikultural di MTs Negeri 15 Boyolali dilaksanakan dengan memperhatikan tiga komponen pokok, yaitu : 1) perencanaan, 2) pelaksanaan, dan 3) evaluasi/supervise. Implementasi pengembangan pembelajaran yang berbasis pada nilai multikultural di MTs N 15 Boyolali antara lain:  a) pengembangan pembelajaran dilaksanakan secara bertahap, b) guru diberikan kesempatan untuk membuat media dan mengembangakannya, c) guru dimonitoring langsung oleh kepala sekolah, d) kepala sekolah memberikan reward pada guru yang kreatif dan inovatif dalam pelaksanaan pembelajarannya, e) pengintegrasian nilai multikultural dalam pembelajaran tetap mengacu pada RPP, dan KI-KD nya.