bluuebunny/crossref_metadata_2025 huggingface dataset:
Effect of Pollution on Insulators in High Voltage Transmission Line
Authors: Durga Sai Surya M G N , Prabha Rani K. , Murthy K. V. S. R.
Published: November 2022

This work provides the effects of pollution on insulators in high voltage transmission line. Different stress such as electrical, mechanical and environmental stress on outdoor insulator has been discussed in this paper. Comparative performance of different insulators have been provided in this paper. . An insulator constructed of ceramic and glass is one of the components used in the construction of overhead transmission lines. In the insulator, the material used to create the insulation has excellent insulating properties. However, as a result of the outside environment and atmosphere, the insulation qualities of overhead insulators gradually deteriorate and become severely reduced. Electrical stress, mechanical stress, and environmental stress are the three types of stress that can be applied to insulators in general, according to their function. Polymeric insulators, in addition to ceramic and glass insulators, are also utilized in the building of overhead insulators to keep the electricity flowing.
Analysis and Recognition of Handwriting Patterns for Personality Trait Prediction Using Unsupervised Machine Learning Approach
Authors: Saraswal Ashish , Rahul Saxena Urvashi
Published: November 2022

The study of the link between handwriting and personality is known as handwriting analysis. It is a specific manner of using handwriting to convey one’s cognitive process. That’s why it’s also known as “brain writing”. Handwriting, like a person’s fingerprint, is a unique trait that cannot be duplicated by two distinct people. It also aids us in determining a person’s emotional state. Handwriting recognition is usually done in a traditional manner, in which a professional handwriting expert examines a person’s handwriting samples for various personality features, which takes a lot of time and effort. As a result, the focus of this study is on developing an automated system that can predict personality characteristics utilizing the machine learning algorithm KNN to identify a certain individual based on their handwriting sample. In today’s modern society, predicting personality traits using face, voice, handwriting, and other techniques is becoming increasingly essential. To develop this approach, we look at a document’s many features such as letter size, word spacing, and slant of words, pen pressure, and baseline, and so on to anticipate the writer’s personality.
Evaluation of Plastic Waste Management Methods Using Multi Criteria Decision Making Tool – AHP
Authors: Sindhwani Kshitiz , Gupta Pankhudee , Kumar Amit , Srivastava Richa
Published: November 2022

The immense utilization of plastics has produced an enormous amount of plastic waste. So, basically there is a necessity created for proper method for plastic waste management. As, we know plastics is the most essential part of our life and used in every application and has a very versatile portfolio used everywhere from industries to households. We can say that the use of plastics is inevitable. In the present time adoption of sustainability principles including selection of the best recycling process is important for optimum utilization of the resources. As there are various plastic waste management strategies available, their prioritization on the basis of several criteria like health, safety, the environment impact, etc. is relevant for the stakeholders involved in this sector . Main objective as to apply by using different criteria as multi- criteria decision making to conduct an analysis which are based on a hierarchical structure that is multi-level and analysis of plastic waste management methods. The AHP approach is a (MCDM) tool which we adopt in our study to depict the best suitable method for the Plastic Waste Management for the industries. As the identification of criteria for the plastic recycling process based on the literature review and expert discussions was done for this the study was initiated. Further, the weightage of different criteria and ranking of the available methods were done using AHP. Four commonly used plastic waste management alternatives were evaluated and findings reveal that recycling is the best alternative. This study will help the industries in selection of best possible techniques and methods for plastic waste management. By this deep study we will be able to find out the best method which can be used for plastic waste management and AHP approach gives us a clarity and it takes various attributes to reach out to a result. This technique is inter-related to Operation Research subject. From this paper we can conclude that out of Incineration, landfilling, Mechanical Recycling and Road filling , Mechanical Recycling comes out to be the best method that can be used for Plastic Waste Management and it should be mainly utilized further.
Measurement Uncertainty Evaluation of a Gauge Block Using Monte Carlo Simulation
Authors: Anju  , Moona Girija , Singh Abhishek , Jewariya Mukesh , Arora Poonam , Sharma Rina
Published: November 2022

The present article describes measurement uncertainty estimation of a Gauge Block (GB) through the Law of propagation of uncertainty (LPU) and Monte Carlo Simulation (MCS) as per JCGM 100 and 101: 2008 recommendations respectively. This paper describes the implementation of the Monte Carlo Simulation Method (MCM) for measurement uncertainty evaluation through octave and R programming, environment for numerical computations. In the present investigation, the measurement uncertainty obtained using the GUM approach is compared with the theoretically simulated results obtained for MCM in octave and R programming. A good agreement has been observed between values obtained for expanded measurement uncertainty using these approaches.
A Model for Challenges and Opportunities in the Implementation of Digitized Transforming Enablers in Manufacturing Industries
Authors: Ranka Dharam , Vasudevan Hari
Published: November 2022

Every manufacturing revolution is focused around boosting productivity. Impacted by the emerging area technologies, the manufacturing sector, globally, is on the wheels of Fourth Industrial Revolution. The umbrella keyword “Digitized Transforming Enablers (DTE)”, discussed in the study encompasses the digital technologies of the Fourth Industrial Revolution “I4.0”. Literature has reported ample of opportunities, such as greater output capacity, production line flexibility, reduction of monotonous work, improved customer opinion of products as well as improved work-life balance for manufacturing firms, advancing towards these technological transformations. The flipside is challenges, related to lack of management commitment, employee involvement, technology standardization and financial constraints are delaying these transformations, especially in the case of small-medium enterprises (SMEs). The objective of this study was to overcome this limit by presenting a moderated mediation research model developed with the help of a theoretical background, based on descriptive and content analyses, while also describing the constructs selected and the hypotheses developed towards achieving DTE implementation. The proposed model ideates, regulatory support as a facilitator and environmental dynamism as a contextual factor, so as to explore as to how such contingency elements affects the impact of challenges and opportunities on DTE implementation.
Anatomization: IoT Security Issues and Its Future Challenges
Authors: Sathi Reddy Padala , Venkatesh Nukella , Kumar S.
Published: November 2022

This article gives an in-depth examination of the Internet of Things (IoT) evolution, with a particular emphasis on security challenges and the proposed solutions. So, it presents the IoT security issues as a prospective blueprint of exploration for future academics entering this field. As we have well known that internet plays an important role in the modernization of human existence. In the electronic cloud, the Internet of things (IoT) plays a crucial role. Researchers have recently tackled the IoT-based architecture, technology, applications, and security challenges. For the most part, IoT equates to adding internet access to a network of smart sensors, machines, objects, or people. Automatic data collection and transfer over the Internet puts personal devices at risk for hacks and attacks. After conducting the study, we will identify the most important issues, with the goal of leading researchers in this area.
Plant-Derived Antimicrobial Peptides Are Effective in Combating the Pathogenicity of SARS-CoV-2, a Novel Therapeutic Approach
Authors: Garg Saksham , Sharma Nikita , Das Asmita
Published: November 2022

The pandemic that started in 2019 in Wuhan caused a vast number of deaths worldwide due to the absence of effective therapy against SARS-CoV-2. The present study investigates the interaction of AMP with viral protein and host receptors. We screened plant-derived antimicrobial peptides (AMP) from the docking web server with the help of PDB ID. We selected five anti-microbial peptides based on their antiviral and physiological activities. The interaction of anti-microbial peptide and Mpro was analyzed using the HADDOCK web server. The results revealed that the minimum Z-score was obtained by the 6LU7-1N4N complex followed by 6LU7-1GPS docked complex. The docking results showed the interaction potency of AMP with 6LU7. The dynamic simulation study of 100ns was performed to check the stability of the docked complexes of AMP and 6LU7. From the stable and positive results of dynamics studies, we can conclude that these selected AMPs have immense potential to be used as therapeutic agents for the treatment of disease.
Evaluation of Phytocompounds Obtained from Catharanthus Roseus to Target the Upregulated MMPs in Prostate Cancer
Authors: Singh Japneet , Garg Ridham , Hasija Yasha
Published: November 2022

Every year over 1.5 million men develop prostate cancer and it is also a significant cause of mortality among men. There are multiple factors upregulating prostate cancer, which includes mutation in the genetics, ethnicity or hereditary. Out of 23 MMPs, there are 4 MMPs which are mostly upregulated in prostate cancer. MMPs function by deteriorating several proteins which are present in the extracellular matrix. Catharanthus roseus is a medicinal plant which has antidiabetic, anticancer, antispasmodic and antihypertensive properties. So, the prime focus of the study is to identify phytochemicals present in Catharanthus roseus that are potent against MMPs which are usually upregulated in prostate cancer, i.e., MMP9, MMP1, MMP10, and MMP13 via static simulation having lesser or no side effects.
Optimization of Surface Roughness: Effect of Machining Parameters on EN23
Authors: Barnwal Kriti , Mishra Deepika , Shankar Prasad Ravi
Published: November 2022

EN23 is one of the most commonly used materials to fabricate forging die in Indian industries. The dies are manufactured through machining process and the parameters of the machining process have considerable impact on the roughness value of the material’s surface. While forging, it was found that die life varies with the change in the machining parametric value and this took my interest to investigate the area. Speed in rpm, feed in mm/rev, and depth of cut in mm were chosen as the process parameters for the investigation of the machining. Design of experiment was used to know the number of specimens required for proper investigation. Specimens were prepared using a L9 orthogonal array and a full factorial design. The optimal machining parameters were obtained using the Taguchi method. The optimal surface roughness value acquired using the L9 orthogonal array is fairly similar to the value obtained using the full factorial technique, according to a comparison of the results. Additionally, a mathematical tool called ANFIS was used to simulate the optimization process and anticipate the surface roughness values.
Analysis of aberrant miRNA-mRNA interaction networks in prostate cancer to conjecture its molecular mechanisms
Authors: Peng Shuang , Liu Cheng , Fan Xingchen , Zhu Jingfeng , Zhang Shiyu , Zhou Xin , Wang Tongshan , Gao Feng , Zhu Wei
Published: November 2022

BACKGROUND: MicroRNAs (miRNAs) capable of post-transcriptionally regulating mRNA expression are essential to tumor occurrence and progression. OBJECTIVE: This study aims to find negatively regulatory miRNA-mRNA pairs in prostate adenocarcinoma (PRAD). METHODS: Combining The Cancer Genome Atlas (TCGA) RNA-Seq data with Gene Expression Omnibus (GEO) mRNA/miRNA expression profiles, differently expressed miRNA/mRNA (DE-miRNAs/DE-mRNAs) were identified. MiRNA-mRNA pairs were screened by miRTarBase and TarBase, databases collecting experimentally confirmed miRNA-mRNA pairs, and verified in 30 paired prostate specimens by real-time reverse transcription polymerase chain reaction (RT-qPCR). The diagnostic values of miRNA-mRNA pairs were measured by receiver operation characteristic (ROC) curve and Decision Curve Analysis (DCA). DAVID-mirPath database and Connectivity Map were employed in GO/KEGG analysis and compounds research. Interactions between miRNA-mRNA pairs and phenotypic features were analyzed with correlation heatmap in hiplot. RESULTS: Based on TCGA RNA-Seq data, 22 miRNA and 14 mRNA GEO datasets, 67 (20 down and 47 up) miRNAs and 351 (139 up and 212 down) mRNAs were selected. After screening from 2 databases, 8 miRNA (up)-mRNA (down) and 7 miRNA (down)-mRNA (up) pairs were identified with Pearson’s correlation in TCGA. By external validation, miR-221-3p (down)/GALNT3 (up) and miR-20a-5p (up)/FRMD6 (down) were chosen. The model combing 4 signatures possessed better diagnostic value. These two miRNA-mRNA pairs were significantly connected with immune cells fraction and tumor immune microenvironment. CONCLUSIONS: The diagnostic model containing 2 negatively regulatory miRNA-mRNA pairs was established to distinguish PRADs from normal controls.
Machine learning algorithm and deep neural networks identified a novel subtype in hepatocellular carcinoma
Authors: Zi Quan , Cui Hanwei , Liang Wei , Chi Qingjia
Published: November 2022

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common malignant tumors. Due to the lack of specific characteristics in the early stage of the disease, patients are usually diagnosed in the advanced stage of disease progression. OBJECTIVE: This study used machine learning algorithms to identify key genes in the progression of hepatocellular carcinoma and constructed a prediction model to predict the survival risk of HCC patients. METHODS: The transcriptome data and clinical information were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO). The differential expression analysis and COX proportional-hazards model participated in the identification of survival-related genes. K-Means, Random forests, and LASSO regression are involved in identifying novel subtypes of HCC and screening key genes. The prediction model was constructed by deep neural networks (DNN), and Gene Set Enrichment Analysis (GSEA) reveals the metabolic pathways where key genes are located. RESULTS: Two subtypes were identified with significantly different survival rates (p< 0.0001, AUC = 0.720) and 17 key genes associated with the subtypes. The accuracy rate of the deep neural network prediction model is greater than 93.3%. The GSEA analysis found that the survival-related genes were significantly enriched in hallmark gene sets in the MSigDB database. CONCLUSIONS: In this study, we used machine learning algorithms to screen out 17 genes related to the survival risk of HCC patients, and trained a DNN model based on them to predict the survival risk of HCC patients. The genes that make up the model are all key genes that affect the formation and development of cancer.
Relation Between Smoking Status and Subjective Cognitive Decline in Middle Age and Older Adults: A Cross-Sectional Analysis of 2019 Behavioral Risk Factor Surveillance System Data
Authors: Rajczyk Jenna I. , Ferketich Amy , Wing Jeffrey J.
Published: November 2022

Background: Smoking status may influence subjective cognitive decline (SCD); however, few studies have evaluated this association. Objective: To assess whether smoking status is associated with SCD among middle age and older adults, and to determine if this association is modified by sex at birth. Methods: A cross-sectional analysis was conducted using data from the 2019 Behavioral Risk Factor Surveillance System (BRFSS) survey to analyze the relationship between SCD and smoking status (current, recent former, and remote former). Eligible respondents included participants 45 years of age or older who responded to the SCD and tobacco questions of interest. Survey-weighted Poisson regression models were employed to estimate the crude and adjusted prevalence ratios (cPR/aPR) and corresponding 95% confidence intervals (CI) of the association between smoking status and SCD. A Wald test was computed to determine the significance of the interaction term between smoking status and sex (α= 0.05). Results: There were 136,018 eligible respondents, of which approximately 10% had SCD. There was a graded association between smoking and SCD, with the greatest prevalence of SCD among current smokers (aPR = 1.87; CI: 1.54, 2.28), followed by recent former smokers (aPR = 1.47; 95% CI: 1.02, 2.12), and remote former smokers (aPR = 1.11; 95% CI: 0.93, 1.33) each compared to never smokers. There was no evidence of effect modification by sex (p interaction = 0.73). Conclusion: The consistency of smoking as a risk factor for objective and subjective cognitive decline supports the need for future studies to further the evidence on whether changes to smoking status impacts cognition in middle age.
Traumatic Brain Injury Associates with an Earlier Onset in Sporadic Frontotemporal Dementia
Authors: Soppela Helmi , Krüger Johanna , Hartikainen Päivi , Koivisto Anne , Haapasalo Annakaisa , Borroni Barbara , Remes Anne M. , Katisko Kasper , Solje Eino
Published: November 2022

Background: Currently, there are few studies considering possible modifiable risk factors of frontotemporal dementia (FTD). Objective: In this retrospective case-control study, we evaluated whether a history of traumatic brain injury (TBI) associates with a diagnosis of FTD or modulates the clinical phenotype or onset age in FTD patients. Methods: We compared the prevalence of prior TBI between individuals with FTD (N = 218) and age and sex-matched AD patients (N = 214) or healthy controls (HC; N = 100). Based on the patient records, an individual was categorized to the TBI+ group if they were reported to have suffered from TBI during lifetime. The possible associations of TBI with age of onset and disease duration were also evaluated in the whole FTD patient group or separately in the sporadic and genetic FTD groups. Results: The prevalence of previous TBI was the highest in the FTD group (19.3%) when compared to the AD group (13.1%, p = 0.050) or HC group (12%, p = 0.108, not significant). Preceding TBI was more often associated with the sporadic FTD cases than the C9orf72 repeat expansion-carrying FTD cases (p = 0.003). Furthermore, comparison of the TBI+ and TBI- FTD groups indicated that previous TBI was associated with an earlier onset age in the FTD patients (B = 3.066, p = 0.010). Conclusion: A preceding TBI associates especially with sporadic FTD and with earlier onset of symptoms. The results of this study suggest that TBI may be a triggering factor for the neurodegenerative processes in FTD. However, understanding the precise underlying mechanisms still needs further studies.
A Pilot Study of Near-Infrared Light Treatment for Alzheimer’s Disease
Authors: Chen Liang , Xue Jun , Zhao Qianhua , Liang Xiaoniu , Zheng Li , Fan Zhen , Souare Ibrahima Sory Jnr , Suo Yuanzhen , Wei Xunbin , Ding Ding , Mao Ying
Published: November 2022

Background: Laboratory investigations have demonstrated that near-infrared (NIR) light treatment can reduce amyloid-β burden in models of Alzheimer’s disease (AD). However, previous clinical studies are rather insufficient. Objective: Before starting a large-scale clinical trial, we performed a pilot study to characterize the efficacy of NIR light for AD patients. Methods: Twenty participants with mild to moderate AD were assigned randomly to the intervention (1060-1080 nm and 800-820 nm NIR light treatment for 12 weeks) or control group (without sham treatment). Safety and efficacy were evaluated at baseline, week 4, 8, and 12, and 4 weeks after treatment. Results: In the intervention and control groups at week 12, mean changes from baseline on the Alzheimer’s Disease Assessment Scale-Cognitive (ADAS-Cog) were -3.1 and -1.3 (p = 0.5689). Mean changes from baseline on the Activities of Daily Living (ADL) were -3.6 versus 3.1 (p = 0.0437). Mean changes from baseline on the Mini-Mental State Examination (MMSE) were 4.4 versus 1.0 (p = 0.0253). The percentage of participants who exhibited a change larger than 4 points from baseline to week 12 was determined for the intervention and control groups on the ADAS-Cog (57% versus 29%), ADL (29% versus 0%), and MMSE (57% versus 14%). Treatment with NIR light did not increase the incidence of adverse events in participants. Conclusion: NIR light treatment appears to be safe and potentially beneficial for AD patients. It improved cognitive function and activities of daily living. The preliminary data encouraged us to launch a large-sample, multicenter, double-blind clinical trial.
Cotton farming industry development and policy finance support for demand estimation in Aksu
Authors: Yang Airong , Xia Yong
Published: November 2022

Using data mining, the purpose of this study is to forecast and analyze the growth of the cotton cultivation industry and the policy financial support demands in the Aksu region. Data mining is a method for maximizing the value of data via the application of numerous algorithms. In contrast to conventional data mining, which adheres to specific algorithms, data mining employs a variety of analysis algorithms to analyze raw data, such as image and panel data, and produce accurate results. In this paper, we propose a data mining method that combines the semantic segmentation algorithm of remote sensing images with various nonlinear regression algorithms to predict the demand for policy-based financial support in a specific region based on a combination of multiple factors, including agricultural crop cultivation area, catastrophe analyses, agricultural price and inflation rates, etc. This paper intends to estimate and analyze actual data pertaining to the cotton cultivation industry in Aksu, and this methodology can further improve the policy-based financial inverse model. The methods presented in this paper can further improve countercyclical regulation of policy finance.
Mathematical modeling of underwater signal anomaly perception based on multi-sensor data fusion
Authors: Ge Xifang , Zhu Xingwang
Published: November 2022

There is a lot of interference in underwater environment, which can affect underwater signal transmission. For this reason, an abnormal perception model of underwater signals based on multi-sensor data fusion is proposed. The underwater frequency hopping communication method is used to select the channel and construct the mathematical model of underwater communication signal. A signal modulation and recognition system for multi-sensor reception is established, and the multi-sensor data fusion model is obtained by calculating the support margin. The energy spectrum distribution is obtained by decomposition of abnormal features with wavelet detector in time domain. The deep learning algorithm is used to reorganize the signal with the minimum detection error, and the mathematical model of underwater signal anomaly perception is obtained. The experimental results show that the average accuracy of the method for locating abnormal underwater communication signals is 95.5%, the misrecognition rate of abnormal underwater signals is less than 2%, and the time-consuming for sensing abnormal signals of 420 MB underwater communication is less than 3 s.
Path planning algorithm of dual arm space intelligent robot
Authors: Guo Qiuyan
Published: November 2022

In order to solve the cooperation problem between the two arms of the dual arm robot, improve the effect and accuracy of the path planning of the intelligent robot, in this study, a new path planning algorithm for dual arm space (DAS) intelligent robot is designed. By analyzing the kinematics performance of DAS intelligent robot, the operation law of DAS intelligent robot is determined. By analyzing the collision that needs to be considered during the operation of DAS intelligent manipulator, a collision detection method based on capsule envelope is proposed to detect the collision of obstacles in the running path. Finally, the path planning model of DAS intelligent robot is designed by using immune genetic algorithm. The experimental results show that the path planned by this method can avoid obstacles and dangerous areas, and the accuracy of path planning for the existing environment is always higher than 90%. With the increase of iteration times, the planning time is relatively stable, about 5.5 seconds. The proposed method can enhance the effect and accuracy of path planning, effectively shorten the time of path planning, and improve the work efficiency of DAS intelligent robot.
Hierarchical network security situation awareness data fusion method in cloud computing environment
Authors: Zhang Hongwu , Kang Kai , Bai Wei
Published: November 2022

In order to improve the accuracy of hierarchical network security situational awareness data fusion and shorten the fusion time, this paper proposes a hierarchical network security situational awareness data fusion method in cloud computing environment. The hierarchical model is established to obtain the hierarchical structure of data fusion. Hierarchical network security situational awareness data are collected and processed in parallel by cloud computing technology. According to the data collection results, the similarity between security events is calculated by using the clustering idea, and the similar security events are merged to achieve the purpose of removing redundant events. The hierarchical network security situational awareness data is fused by grey relational analysis. Finally, the simulation results show that the accuracy of data fusion of this method is high, up to 98%, and the fusion time is short, the longest is 13 s. Compared with the comparison method, this method has a better performance, indicating that this method is suitable for data fusion of hierarchical network security situation awareness.
Numerical simulation research on bolt supports’ mechanical properties deformation in high-stress roadway
Authors: Wei Shiming , Zhang Zesheng
Published: November 2022

With the rapid development of domestic mining industry, it is necessary to consider the safety of the mine when mining. In order to improve the high stress environment and the frequent failure of bolts caused by the increase of excavation depth, in this experiment, FLAC3D is creatively proposed to establish the calculation model of bolt support roadway, analyze the basic geological environment and surrounding rock structure of the research area, and conduct the numerical simulation of the mechanical characteristics of bolt support deformation (BSD) in the high stress roadway (HSR). The basic geological environment and surrounding rock structure of the study area are analyzed, and FLAC3D is adopted for establishing a calculation model of the bolt-supported roadway, which can be used to simulate the axial and lateral forces of the bolt, and then determine the boundary conditions. It is found that the supporting bolt in the roadway needs to bear not only axial tension, but also transverse shear and bending. Based on the Winkler foundation beam principle, a calculation model of the bolt’s lateral bending force in the soft rock roadway is established, the lateral force characteristics of the bolt support are analyzed, the concept of “anchoring composite bearing body” is proposed, and the force characteristics of the bearing body are calculated. The research results show that in the HSR, the bolt mainly bears the combined forces of tensile and lateral bending; among them, the bolt’s axial force remains basically unchanged at the tail part near the pallet, and the bolt’s axial force at the end part deep into the rock mass decreases rapidly. The bending moment of the bolt is “wave-shaped” distributed along the length of the rod body in the positive direction and negative direction of the axis, and the comprehensive action of the axial tension and transverse bending of the bolt increases when the stress concentration increases. A smaller roadway radius will lead to longer bolts, denser arrangement and higher support strength.
Social media analytical CRM: a case study in a bank
Authors: Duman Ekrem
Published: November 2022

The use of the social media (SM) has become more and more widespread during the last two decades, the companies started looking for insights for how they can improve their businesses using the information accumulating therein. In this regard, it is possible to distinguish between two lines of research: those based on anonymous data and those based on customer specific data. Although obtaining customer specific SM data is a challenging task, analysis of such individual data can result in very useful insights. In this study we take up this path for the customers of a bank, analyze their tweets and develop three kinds of analytical models: clustering, sentiment analysis and product propensity. For the latter one, we also develop a version where, besides the text information, the structural information available in the bank databases are also used in the models. The result of the study is a considerably more efficient set of analytical CRM models.
Perturbation analysis of fully fuzzy linear systems1
Authors: Guo Xiaobin , Zhuo Quanxiu
Published: November 2022

This paper considers the perturbation analysis of a class of fully fuzzy linear systems in which the coefficient matrix is a positive fuzzy matrix. The original fuzzy linear systems is extended into a brand new and simple crisp matrix equation using an embedding method. By discussing the perturbation of the extended crisp linear equation, the paper completes the perturbation analysis of the original fuzzy linear system. There are three cases of perturbation are analysed and the respective relative error bounds for solutions of fuzzy linear system are derived. Some numerical examples are given to illustrated our obtained results.
Comparative Analysis of Methods for Detecting Unmanned Aerial Vehicles
Authors: Abdullayeva Fargana J. , Ibrahimov Rashad
Published: November 2022

The widespread use of UAVs in both the national and military spheres has made them the focus of industrial organizations. However, the use of drones has seriously affected the violation of the confidentiality of personal data, posed a threat to states, national institutions, nuclear power plants, historical sites. One of the methods to reduce this threat is to detect malicious drones. The paper analyzes the existing methods in the detection of harmful drones and proposes a new approach to their detection.
Cybersecurity Education Programmes & Laboratories Brainstorming
Authors: Waedt Karl , Ben Zid Ines , Schindler Josef , Kirdan Erkind
Published: November 2022

As part of R&D programs of Framatome GmbH since 2015 many Cybersecurity PhD candidates, Bachelor and Master thesis students have contributed to technical topics from the nuclear cybersecurity domain. The subsequent sections will provide an overview about cybersecurity in the nuclear context, the different PhD, Master/Bachelor thesis programs, involvement in national and international cybersecurity R&D, cybersecurity laboratories and a summary and outlook on future challenges.
A Methodology Based on Cyber-Physical Systems Platform for Assessment of the Safety of Acoustic Noise Pollution
Authors: Agayev Bikes
Published: November 2022

Acoustic noise pollution is currently a global environmental problem. Many citizens are interested in the following question: what is the level of noise pollution where I live, work, or travel? Does it meet standards? How to provide noise protection created by the development of cyber-physical systems? An ordinary citizen cannot monitor noise by standard methods. This process is complicated, and the required equipment is expensive. However, modern mobile phones’ computing, communication, and sensory functions allow monitoring. To do this, they need simple and straightforward methodologies. The article proposes a simple monitoring methodology. Several experiments are being carried out.
Cyber Socio-Technological Problems of the Networked Society and Their Analysis
Authors: Dashdamirova Konul
Published: November 2022

The article analyzes the history of the evolution of society and the internet socio-technological problems of the networked society are investigated.
STUDENT CONTRIBUTIONS IN WAQF ARE REVIEWED THROUGH FACTORS OF RELIGIOSITY, KNOWLEDGE, AND FINANCIAL ATTITUDES
Authors: Latif Abdul , Lesmana Meichio , Ahmad Rusyda Afifah , Julian Antoni
Published: November 2022

Waqf is one of the important instruments and has enormous potential from a social and financial perspective. There are many types of waqf, one of which is money waqf or cash waqf. Cash waqf has different characteristics from zakat and alms. Waqf has very significant benefits if the waqf is given in a productive form. However, currently, the great potential of waqf has not been implemented properly. The purpose of this study is to analyze the students' intentions in waqf which are influenced by factors of religiosity, knowledge, and financial attitudes. This research uses Structural Equation Modeling method with the Lisrel tool. The results showed that the factors of religiosity and knowledge were less influential than the factors of financial attitudes which had a stronger influence. In a sense, students' interest in spending their money in the form of alms can be seen in their financial attitude.
PRINCIPLES OF USE OF AVAILABLE RESOURCE, CULTURE, HISTORICAL AND LANDSCAPE POTENTIALS OF SMALL CITIES OF UKRAINE IN SHAPING THE STRATEGY OF PROMISING DEVELOPMENT
Authors: Yatsenko Viktor , Korotkova Tatiana
Published: November 2022

The article deals with some aspects of urban planning, economic, social, cultural, historical and other development, which influenced the specifics of small cities and the principles of reviving their full existence were proposed. For example, the small city of Zolotonosha, a state of historical development, which is too static and the prospect is too blurred.
The basic principles are based on the attempt to attract the city reserves in identifying, updating and proposals for the formation of a new strategy based on history, culture, economy, ecology and more-the development of the tourist and recreational industry system is compatible with adjacent territorial communities and their resources.
The key principles of the new development strategy in the context of a new administrative policy in the article highlights "the principle of historical argumentation of the possibilities of organizing a tourist and recreational network as a system of local level." An important argument of this principle is the common rights to all areas of activity with the role of everyone as an element of the system system.
"The principle of joint development of the tourist and recreational network as a system: history-nature-society-economy." The principle is the unifying activity of all subjects of the system.
And the third principle "Social sphere as a combination of the integrity of the tourist and recreational system of the small city and the surrounding territories.
The surrounding areas are new entities of the administrative system – united territorial communities.
TRAINING OF ARCHITECTS IN NEW ECONOMIC, POLITICAL AND SOCIAL CONDITIONS (EXPERIENCE OF THE DEPARTMENT OF LANDSCAPE AND TOURIST AND RECREATIONAL ARCHITECTURE OF THE KNUCA)
Authors: Yatsenko Viktor , Korotkova Tatiana , Panchenko Tamara
Published: November 2022

This article is rather informative about the ways of training those specialists who tomorrow will shape the environment of our life in cities, in nature. In fact, the article is to some extent a continuation of the series started in 2020 on the peculiarities of the training of architects in the field of landscape and tourist-recreational architecture at the Kiev University of Construction and Architecture.
The complexity of the learning process in 2021-2022 for objective reasons has not decreased, but on the contrary forced to look for new specifics in the training itself and the formation of the worldview of future architects to justify the importance of objects they wished to do.
The article presents examples of master's theses, which largely characterize the desires and visions of the graduates themselves. As can be seen from the subject of the work, the red line is a painful issue of ecology and social problems.
The topics of the work are related to changes in the administrative-territorial structure, finding strategic ways to save the economy of small towns by attracting natural resources, solving complex recreational problems of large cities and local settlement systems.
METHODS OF EDUCATIONAL FACILITY DESIGN USING UNIFIED BLOCK UNITS
Authors: Homon Olha , Kovalska Gelena
Published: November 2022

The article covers the effective methods of a timesaving public facility design and construction and specifies the method of the kindergarten and primary school design using unified block units. The war started by the hostile country against Ukraine has completely changed our lives. Demolished houses and public buildings, industrial facilities, the infrastructure, whole villages and cities became striking realities that challenged the architects and urban designers to solve the issue of prompt and complex reconstruction in the cities. Because of the war, Ukraine will soon face the demand for fast residential area development and complex construction of facilities, such as kindergartens and secondary schools, raising concerns on the effective methods of timesaving public facility design and construction. At the end of the twentieth century, an expert team at the Kiev National University of Construction and Architecture developed a standardized unit block system for housing and public areas prompting the unified block unit residential building and public area construction.
The block-modular method can be used in present environment for educational facility construction, considering the architectural and construction trends. To outline the practices and structure the typical evaluation at educational facility design, the following diverse unified functional elements were introduced: a single and a double block of cells for a kindergarten; one, two and three-unit assembly standardized functional block for a primary school educational area; a standardized functional block of common use sharing kindergarten premises and primary school.
FORMATION FEATURES OF SPACE-PLANNING TECHNIQUES OF MULTY-STOREY AND HIGH-RISE RESIDENTIAL BUILDINGS
Authors: Vakhnichenko Oleksandra
Published: November 2022

A multi-storey and high-rise single-section residential buildings designing world experience was reviewed and analyzed. It has been determined that placement of a residential building in a certain part of the urban environment requires use of space-planning techniques that contribute to the overall structure of the house diversity. The initial shaping elements of plans include simple geometric shapes: square, circle, ellipse, rectangle, triangle. According to the applied technique, construction features of the individual architectural elements of a residential building are revealed. The study identified three main space-planning techniques that can be used in a residential buildings design: static basis; movement integrity; compiling forms. Certain techniques make it possible to identify the typological features of residential buildings and, accordingly, to classify them according to their characteristic features.
MODERN SEARCH FOR A FIGURATIVE SOLUTION FOR THE INTERIORS OF PUBLIC CATERING FACILITIES
Authors: Novoselchuk Natalia , Shevchenko Liudmyla
Published: November 2022

Visiting public catering facilities acts as a social phenomenon, which is primarily due to cultural relationships. This turns ordinary food consumption into a process that brings taste, aesthetics and visual pleasure.
The article notes that when developing the main idea, it is necessary to determine the audience that will be targeted by the public catering facilities. It is important to understand the characteristics of customers, such as solvency, taste preferences, average age, preferences.
It is noted that the number of visits to the public catering facilities and a successful marketing strategy is influenced by customer focus; compliance with the requirements for comfort and hygiene; level of service and its constant maintenance.
Modern tendencies in development of interiors public catering facilities are analyzed in the article. It is noted that the socio-economic transformations in society directly affect typology of the public catering facilities, influence their specificity and organization of interiors. The conception key role is ascertained, the basic thematic directions such as: geographical directions, aqueous motives, sport subjects, hunting themes, historical facts or personalities, cinematographic themes or heroes, ethnographic direction etc. are noted. When creating a general conceptual idea, the set-out of essential accents is substantial that can improve attendance. Emphasis can be placed on: a friendly atmosphere that promotes communication, gaining new experiences, an atmosphere of energy and inspiration, food choices, comfort, the opportunity to relax, entertainment while visiting, prestige, status.
The development of the restaurant business requires a differentiated approach to the formation of the interiors of restaurants; based on modern requirements and trends. These requirements are designed to meet the social, aesthetic, physiological and spiritual needs of visitors. In general, it allows you to develop an original, expressive interior, the figurative solution of which is memorable.
Method of evidential analysis and the empiric method are involved in the article. The presented recommendations can be used for creation of the interior design-conception of the public catering facilities.
CURRENT TRENDS IN THE TRANSFORMATION OF ART MUSEUMS INTO THE LEADING SOCIO-CULTURAL CENTERS OF NATIONAL SIGNIFICANCE
Authors: Hirnyi Orest , Skoryk Larisa
Published: November 2022

The article is devoted to the issues of complex analysis of ideas of transformation of National Art Museums (galleries) into multifunctional formations in which the necessary modernization of interaction of 3 main components dominates: architecture of museum object, exposition design and spectator.

Research in recent decades to find out how positive social participation in cultural, artistic and museum projects is for the individual and society has shown that such participation promotes a sense of dignity, competence, awareness and understanding of existing problems in society. It is the architecture of the museum that sets the visitor in anticipation of exclusivity, special cognitive impressions from the exhibition in an unusual building.

It is the latest electronic media, after a long search for the defining components of museum complexes, museologists, architects conclude that there is an inseparable fundamental triad of the object, namely: the architecture of the building, the exhibition and the visitor.

Analysis and systematization of methods of forming the architecture of museum buildings, exhibition space and functional saturation of museum complexes with a focus on modern and future requirements of urban communities is the key to optimal transformation of art museums into art centers that provoke viewers to participate in cultural and creative process and interactive recreation.
Insecticidal Activity of Berberis Royleana: Various Extracts against Callosobruchus Maculatus
Authors: Salman Muhammad , Rafique Muhammad , Khan Muddasir , Abdullah  , Khan Hayat , Amin Khalid , Ullah Rooh , Ashraf Waqas
Published: November 2022

The residents of remote areas in developing countries mostly rely on traditional plants to curedifferent ailments. Berberis royleana is a rare species among the genus Berberis whichcommonly comprises 500 species distributed in Nepal, Afghanistan, Siberia, and other parts ofthe world. Berberis are used to make herbal medication to fight against infections, oculartrachoma, AIDS, and diarrhea. The current study was carried out to explore the in vitroinsecticidal activity of B. royleana in various extracts by direct contact application processagainst the insect Callosobruchus maculatus. The maximum mortality rate of 60% was recordedby water fraction, whereas methanolic fraction had 50% mortality, n-Hexane had 40% mortality,while ethyl acetate and chloroform both had 30% mortality at 72 hours. Thus, this studyindicated that from the medicinal point of view this specie is very significant, with a greatpotential for insecticidal activities against C. maculatus. It is further suggested that B. royleanacould be used as a good insecticidal agent against dengue and malarial vectors. In addition, theside effects like toxicity could be addressed to avoid any mishaps.
Predictive Role of Mindfulness and Emotion Regulation for Psychological Distress in Pakistani Medical Students
Authors: Qasim Nawal , Rana Hina
Published: November 2022

This research was intended to investigate the relationship between mindfulness, emotion regulation, and psychological distress in Pakistani medical students. It was also aimed to assess the predictive role of mindfulness and emotion regulation for psychological distress (depression, anxiety, stress). Correlational research design and purposive sampling techniques were used. The data was collected from both public and private medical colleges. The total sample comprised 216 participants (men; n=96; women; n= 120). Mindful Attention Awareness Scale, Emotion Regulation Questionnaire, Depression, Anxiety, and Stress Scale (DASS-21) along with a demographic information sheet were used to assess the study variables. Results were analyzed through SPSS 21. Findings revealed a significant negative relationship of mindfulness and emotion regulation with psychological distress (depression, anxiety, and stress) in medical students. Furthermore, mindfulness and emotion regulation significantly predicted psychological distress (anxiety). The results of the present study will help clinical psychologists to devise improved training programs and therapeutic interventions for medical students for minimizing their distress so that medical students become able to perform better in their academic activities.