bluuebunny/crossref_metadata_2025 huggingface dataset:
Customer Segmentation Using Machine Learning
Authors: Patankar Nikhil , Dixit Soham , Bhamare Akshay , Darpel Ashutosh , Raina Ritik
Published: December 2021

Nowadays Customer segmentation became very popular method for dividing company’s customers for retaining customers and making profit out of them, in the following study customers of different of organizations are classified on the basis of their behavioral characteristics such as spending and income, by taking behavioral aspects into consideration makes these methods an efficient one as compares to others. For this classification a machine algorithm named as k-means clustering algorithm is used and based on the behavioral characteristic’s customers are classified. Formed clusters help the company to target individual customer and advertise the content to them through marketing campaign and social media sites which they are really interested in.
Using Artificial Intelligence in Source Code Summarization: A Review
Authors: Birari Shraddha , Bhingarkar Sukhada
Published: December 2021

Source code summarization is the methodology of generating the description from the source code. The summary of the source code gives the brief idea of the functionality performed by the source code. Summary of the code is always necessary for software maintenance. Summaries are not only beneficial for software maintenance but also for code categorization and retrieval. Generation of summary in an automated fashion instead of manual intervention can save the time and efforts. Artificial Intelligence is a very popular branch in the field of computer science that demonstrates machine intelligence and covers a wide range of applications. This paper focuses on the use of Artificial Intelligence for source code summarization. Natural Language Processing (NLP) and Machine Learning (ML) are considered to be the subsets of Artificial Intelligence. Thus, this paper presents a critical review of various NLP and ML techniques implemented so far for generating summaries from the source code and points out research challenges in this field.
A Survey on Different Techniques for Product Fake Review Detection and Product Rating
Authors: Telwala Adnan , Pratap Ayush , Gaikwad Ketan , Chaudhari Tushar , Bhingarkar Sukhada
Published: December 2021

Numerous online business sites empower the customers to create a product reviews along with feedback in the shape of ratings. This gives the organization work force a sign about their items’ remaining on the lookout, while likewise empowering individual customer to frame an assessment and help buy an item. As of late, Sentiment Analysis (SA) has gotten quite possibly interesting due to the potential business advantages of text analysis. One of the most important problems in confronting SA is the manner by which to remove feelings in the assessment, as well as how to identify counterfeit good reviews and negative surveys derived from assessment surveys. Besides, the assessment surveys acquired from clients can divided into two categories: positive and negative, which can be utilized by a shopper to choose an item. In this survey, we have thoroughly discussed about fake review detection of products as well as product rating by different SA techniques. Further, we have discussed the research direction in fake review detection and product rating.
MISP: Model for IaaS Security and Privacy
Authors: Sahua IndraKumar , Nenea Manisha J
Published: December 2021

Paradigm shift towards cloud computing offers plethora of advantages both for cloud users and Cloud Service Provider (CSP). For cloud users, it offers saving of cost, scaling of resources, pay per use, elastic and on-demand services. On the other hand, it offers centralized resource management and provisioning of operations, safety and security for CSP. By holding multiple virtual IT resources (CPUs, storage servers, network components and software) over the internet, Infrastructure-as-a-Service (IaaS) serves as fundamental layer for all other delivery models. Along with benefits of IaaS, there exists several security and privacy issues and threats to confidentiality, integrity, authentication, access control and availability. In this paper, detailed study of IaaS components, associated security and privacy issues are explored and counter measures for the same are determined. Furthermore, as a result of the study, Model for IaaS Security and Privacy (MISP) is proposed. The model presents a cubical structure and adds more features than the existing models to enhance the security and privacy of data and operations and guide security assessment for safer adoption by enterprises
A Study on Speech Emotion Recognitions on Machine Learning Algorithms
Authors: Srinivas Amiripalli Shanmuk , Likhitha Potnuru , Patnaik Sisankita , Suresh Babu K  , Venkatarao Rampay
Published: December 2021

Speech emotion detection has been extremely relevant in today’s digital culture in recent years. RAVDESS, TESS, and SAVEE Datasets were used to train the model in our project. To determine the precision of each algorithm with each dataset, we looked at ten separate Machine Learning Algorithms. Following that, we cleaned the datasets by using the mask feature to eliminate unnecessary background noise, and then we applied all 10 algorithms to this clean speech dataset to improve accuracy. Then we look at the accuracies of all ten algorithms and see which one is the greatest. Finally, by using the algorithm, we could calculate the number of sound files correlated with each of the emotions described in those datasets.
Identification of Fake Video Using Smart Contracts and SHA Algorithm
Authors: SwapnaliTambe  , Pawar Anil , Yadav S K
Published: December 2021

Deepfake is as a matter of fact a medium where one individual is supplanted by another who appears as though him. The profound bogus demonstration has been continuing for quite a long while. Profound phony uses incredible strategies, for example, AI and man-made consciousness to create and control visual and sound substance with high potential for the gadget. Profound misrepresentation relies upon the sort of impartial association called and the programmed encoder. These are essential for an encoder, which lessens a picture to a lower dimensional ideal and an ideal introduction picture. I examined various answers on various advances via web-based media stages like twitter and face book. From these examinations we are roused to extend this objective. In our proposed framework, we centre around identifying profound phony recordings utilizing blockchains, keen agreements, and secure hashing calculations. We utilize a few calculations to relieve the issue, for example, the SHA string
Node Failure Management to Improve the Performance of Wireless Sensor Networks
Authors: Katkar Pallavi , Pawar Ashwini , Zalte Sheetal , Katkar Suhas
Published: December 2021

A sensor network can be defined an assembly of sensor nodes which associated by all together to complete particular detailed task. These sensor nodes are mostly in huge amounts also compactly installed moreover in the network area or very near to it. Sensor networks can be worked for several sectors such that: environmental monitoring, home, health care, Industries, military, and habitat. Failure of network is unavoidable in wireless sensor networks because of unfriendly location and non-reachable placement. Hence, it is needed that network faults are discovered in time and proper methods are engaged to bear network task. So, it is important to deliver fault forbearing systems for spread sensor applications. Numerous new work in this field yield severely different methodologies to talking the fault tolerance concern in routing. In this propose review and equate present fault tolerant practices to provision for sensor applications.
Aspect Based Emotion Detection and Topic Modeling on Social Media Reviews
Authors: Jorvekar Ganesh N. , Gangwar Mohit
Published: December 2021

In recent years, the number of user comments and text materials has increased dramatically. Analysis of the emotions has drawn interest from researchers. Earlier research in the field of artificial-intelligence concentrate on identification of emotion and exploring the explanation the emotions can’t recognized or misrecognized. The association between the emotions leads to the understanding of emotion loss. In this Work we are trying to fill the gap between emotional recognition and emotional co-relation mining through social media reviews of natural language text. The association between emotions, represented as the emotional uncertainty and evolution, is mainly triggered by cognitive bias in the human emotion. Numerous types of features and Recurrent neural-network (RNN) as deep learning model provided to mine the emotion co-relation from emotion detection using text. The rule on conflict of emotions is derived on a symmetric basis. TF-IDF, NLP Features and Co-relation features has used for feature extraction as well as section and Recurrent Neural Network (RNN) and Hybrid deep learning algorithm for classification has used to demonstrates the entire research experiments. Finally evaluate the system performance with various existing system and show the effectiveness of proposed system.
An Intrusion Detection System for Network Security Using Recurrent Neural Network
Authors: Jadhav Kishor P. , Gangwar Mohit
Published: December 2021

To maintain the security of vulnerable network is the most essential thing in network system; for network protection or to eliminate unauthorized access of internal as well as external connections, various architectures have been suggested. Various existing approaches has developed different approaches to detect suspicious attacks on victimized machines; nevertheless, an external user develops malicious behaviour and gains unauthorized access to victim machines via such a behaviour framework, referred to as malicious activity or Intruder. A variety of supervised machine algorithms and soft computing algorithms have been developed to distinguish events in real-time as well as synthetic network log data. On the benchmark data set, the NLSKDD most commonly used data set to identify the Intruder. In this paper, we suggest using machine learning algorithms to identify intruders. A signature detection and anomaly detection are two related techniques that have been suggested. In the experimental study, the Recurrent Neural Network (RNN) algorithm is demonstrated with different data sets, and the system’s output is demonstrated in a real-time network context.
Development and Evaluation of an Early Detection of COVID-19 Pneumonia Using CT Images
Authors: Eeswar Samhithan D. , Abarna C. , Anupama S. , Devi S.
Published: December 2021

In December 2019, an epidemic of a novel corona virus disease was indentified in Wuhan, China, which quickly spread across the world as a pandemic. This terrible virus had caused respiratory failure and alveolar damage in all, resulting in complete death. The use of a reverse transcription polymerase laboratory test to predict this virus results in a high rate of false positives and a significant time delay. As a result, chest CT images have become a valuable diagnostic method for the Covid-19. In this study, we propose using machine learning to detect and identify the corona, resulting in a timely and accurate report.
IoT Based Smart Cradle Using PI
Authors: Kannan P  , Devaraj Allwin , B.Pradheep T Rajan  , Swathira P K  , Subhikshaa Jayaranim  , Shebna V
Published: December 2021

In this modern era, parents are busy building their lifestyle, carrier etc. As we know it has now become hard because parents have to take care of their children simultaneously, which paves a lot of work pressure and family pressure especially for women. Health of the child is affected and better care has also reduced. So, in order to handle such situation, we use temperature, Humidity, ultra-sonic Sensor. The conditions of the external atmosphere help to detect increased body temperature, babies voice while crying and their movements while they are continuously moving and also indicates the time for the diaper to be changed. If there are any abnormal activities are observed in baby’s atmosphere. An alert message is sent to the parents. In this system a video camera is attached and operated under the microcontroller’s instruction and it records a video when the motion sensor detects any continuous movements. The recorded video is broadcasted in a display to the parents which helps them to monitor baby in live. And in addition, this system detects and displays the status of the infant and alert the respective guardian by collecting values from sensor like temperature sensor, ultrasonic sensor, and also the location value from raspberry pi.
Automobile Authentication and Tracking System
Authors: Duraichi N. , Arun Kumar K. , Lokesh Sathya N. , Lokesh S.
Published: December 2021

Vehicle robbery and unknown car thefts has become a intense issue around the nation. Many culprits use unapproved vehicles to perform numerous illegal activities and leave the vehicles. The utmost reason for accidents is due to the vehicles driven by unknown users, who perform reckless and inexperienced driving without the speed limit will cause many accidents that increases the death rate. Our goal is to make a system which will allow the person who have authorized license. For this purpose, we plan to install an automated system in the vehicle to introduce smart license verification technology. Various techniques and technologies are being explained to detect the details of the driver, and also Various vehicle thefts are being done in spite of various surveillance cameras are set down to keep an eye on the activities and various technologies are being implemented to diminish the vehicle robbery. So, we proposed the system with the concept of deep learning. As compared to normal detection techniques deep learning collects N number of input samples and compares it with the database details. After the authentication process the engine mechanism starts, if not authorized it gives a buzzer sound and vehicle doesn’t start until the details of registered person is authenticated.
Dementia People Tracking System
Authors: Deepa S. , Dhanesh Lavanya , Danusha V  , Dath K Divya , Pavadhaarini G K  , Sri C Shobana
Published: December 2021

The number of elderly people worldwide is rigidly increasing due to decrease in birth rates and innovations implemented in medical field. Due to the increase in elderly people population diseases like dementia are also being increased year by year. Having done many kinds of research it is found that there is no permanent treatment for diseases like dementia, even if those patients come in public they look similar to normal people, however, people with dementia have abnormal behaviors like loss of patience, aggression, lack of thinking which in turn causes burden to family members and caretakers. In order to address this issues, this paper demonstrates a follow-up and rescue program for the elderly. The system includes a GPS receiver, a GSM module and a long-distance RF transmitter and receiver, real-time location. Families and care takers can obtain real-time information and history of patient location through GPS to avoid loss of elderly patients. With the help of this system, the number of losing patients will be decreased and the pressure on the caretakers and family people will be cut down to some extent.
GSM Based Smart Energy Meter System
Authors: Kannan P  , Devaraj Allwin , Esakki Rajavel. S  , Nisharni B  , Sancta A  , Muthu Lakshmi M
Published: December 2021

This project aims to develop a smart energy meter which has many advantages like monitoring and controlling the energy meter at anywhere and at any place. Our project also called as pay first and then use it because here the user first has to pay the bill after that only they can consume the electricity. We know that each user has different kind of load demands and based on it we can recharge in number of units (KWh). The energy we are consuming and based on those pulses from the energy meter, microcontroller decrements the number of units and displays on LCD the remaining units we can use. The load gets disconnected when the units become zero and it is reconnected when the user recharges it. Our project will be very useful for the electricity board and also the user because this project gives the live update about the energy usage of the user through the message. GSM (Global system for mobile communication) will help to send and receive this information to the user. This system helps us to identify the energy losses of the electricity board to a large extent.
Online Transformer Monitoring System
Authors: Mohan.S  , Vinothkumar S. , Saravanakumar K. , Sudarsan M.
Published: December 2021

Power transformers, are basically used for stepping up& down the voltage levels. They are the primary equipment used in power transmission system. So it is primary to maintain all the transformers located geographically, but due to lack of man power it is impossible to monitor regularly. Due to these reasons, if a failure occurs in transformer may cause the network power shutdown. Though there are lot of protection measures that accompany a transformer, but by providing a online monitoring system will increase the reliability and reporting instantaneous fault confidently. This paper gives out the details in design and construction of an automatic monitoring system for power transformer parameters. A node-mcu module [esp8266] was enabled to monitoring of voltage, oil level and temperature (oil & winding) on a typical power transformer. With the internet of things (IoT), a self-defense system is designed and implemented for the transformer. In this system Transformer parameter are continuously marked and a graph is plotted. If the level of the parameter increases than the actual value, it gives buzzer alarm, if no action taken then the whole system will be tripped safely in power transformers.
Issues of COVID 19 Screening with Machine Learning Algorithm and Data Sets Availability
Authors: Balaji G.N. , Suryanarayana S.V. , Vijayaragavan P.
Published: December 2021

There is a need to wear a mask during the coronavirus outbreak to efficiently deter the transmission of COVID-19 virus. In these instances, traditional facial screening technologies obsolete for monitoring of group entry at Airports, shopping malls, railway stations, etc. It is, therefore, vital to boost the efficiency of screening. This paper addresses the machine learning algorithm for contactless face screening systems in group participation, social interaction, school management, mall entry management, and market resumption scenarios in the case of COVID- 19. A method to screen entry with masks are developed using machine learning, which depends on various face specimens that were discussed here. The second fold discussion in this paper is that previously there are not many freely accessible masked face-databases. To this end, various forms of masked face data sets are identified, namely MFDD, Real MFRD, and Simulated MFRD. Such data sets became widely accessible to businesses and academics, based on which specific apps may be built on masked faces. The mathematical model, with the code was given. The availability and issues of the above data sets were discussed for the benefit of researchers.
Reduction of Voltage Ripple in DC Link of Wind Energy Conservation System Using Modified DC-DC Boost Converter
Authors: Hubert Tony Raj L. , Sivakumar R. , Akash R. , Anandha Chakravarthi M.
Published: December 2021

Renewable energy provisions must be extracted in a more resourceful way, with a power converter added to the mix. If the supply-demand curve rises with the seasons, it becomes clear that renewable energy sources are used to provide clean energy. This clean energy cannot be used on load directly due to fluctuating conditions, to solve this problem a modified DC to DC converter with a ripple-free output is introduced. The Vertical Axis Wind Turbine (VAWT) and Solar PV were combined to achieve a constant DC output in a hybrid renewable energy conversion system. For renewable energy applications, a redesigned converter with ripple-free output is used. The simulation is made under MATLAB/SIMULINK and experimental parameters were measured using a nominal prototype.
Survival in metaplastic breast carcinoma: A case series
Authors: Assunção Ribeiro da Costa Rafael Everton , da Silva Fontinele Danilo Rafael , Medeiros Paula Catarina Dalia Rego , Vieira Sabas Carlos
Published: December 2021

BACKGROUND: Metaplastic breast carcinoma (MBC) is a rare type of breast cancer (0.20–1.00% of all cases). With a more aggressive clinical course, MBC frequently presents as a triple-negative subtype. OBJECTIVE: To describe a case series, analyzing patients survival in four MBC cases. METHODS: The cases were obtained from 532 medical records of breast cancer patients (0.7% of the total). RESULTS: All patients were female. Mean patient age was 49 years (range: 38–60 years). Mean tumor size was 8.9 cm (range: 3.0–15.5 cm). Mastectomy was performed in three cases. One patient had axillary nodal metastasis. All underwent chemotherapy and three received radiation therapy after surgery. CONCLUSIONS: With a mean follow-up of 36 months (range: 10–60 months), one case had a tumor recurrence (25%). Three patients (75%) died from metastatic disease and one (25%) is still alive and free of disease.
Brushite bone cement containing polyethylene glycol for bone regeneration
Authors: de França Silva Azevedo Ana Clara , Morúa Otto Cumberbatch , de Lima Gabriel Goetten , da Silva Henrique Nunes , da Silva Ferreira Jefferson , Fook Marcus Vinicius Lia , de Sá Marcelo Jorge Cavalcanti
Published: December 2021

BACKGROUND: Bone cements aid in bone regeneration; however, if the handling time is not well established for the material to harden, complications may arise. OBJECTIVE: This work investigates the effect of using polyethylene glycol (PEG) and characterize it in brushite bone cement in order to obtain desirable handling times as well as its regeneration in vivo to analyse if addition of this polymer may significantly modify its properties. METHODS: PEG 4000 was synthesised with wollastonite by phosphorization reaction in order to form brushite which was further cured by oven drying. They were further characterised and tested in vivo as tibial bone defect model using rabbits. RESULTS: Addition of PEG exhibited handling times of 60 min with a low increase in temperature when curing. Brushite phase of ∼71% was obtained after cement hardening with good compressive strength (25 MPa) and decent values of porosity (33%). In vivo presented that, at 40 days postoperatively, accelerated bone neoformation with partial consolidation at 30 days and total after 60 days when using bone cement. CONCLUSIONS: Addition of PEG does not disrupt the beneficial properties of the bone cement and can be a potential alternative to control the time-temperature profile of hardening these materials.
Miniaturized trisection BPF design using size-reduced substrate integrated coaxial resonators
Authors: Ho Min-Hua , Hsu Chung-I G. , Hung Jhuo-Ting , Shen You-Lin
Published: December 2021

The contribution of this work is to propose miniaturized trisection bandpass filters (BPFs) using size-reduced substrate integrated coaxial resonators (SICRs). The applied SICRs are operated under a coaxial mode. The occupied circuit area of the SICR developed from its structurally similar one, the substrate integrated waveguide (SIW) cavity, is only 6.2% that of the latter, corresponding to a circuit-area reduction rate of 93.8%. The cross-coupling between the input and output resonators can be either a magnetic or electric coupling for locating the transmission zero near either the upper or lower passband edge, respectively. Sample trisection BPFs with magnetic/electric cross-couplings are built for experimental verification. Agreements between measured and simulated data are observed. These miniaturized trisection BPFs with a freely switchable transmission zero are endowed with the advantage of an excellent circuit-area efficiency in the category of SICR and SIW cavity trisection BPFs.
SYSTEMATIC APPROACH TO WORK SAFETY MANAGEMENT IN THE WORKPLACE
Authors: Yaremko Zinoviy , Tymoshuk Svitlana , Vashchuk Viktoriya
Published: December 2021

Occupational safety management in our country no longer meets modern requirements for occupational safety in the workplace and needs to be improved, in particular through the introduction of a risk-oriented approach to the assessment of production factors. The use of risk-oriented approach system to safety management in the workplace is substantiated in this work, and it is the primary link in the management system of labor protection and its optimal (comfortable) organization significantly affects the production environment, safety and staff productivity. A structural and logical model of the incident at the workplace is proposed and possible dangerous events, the development of which in space and time can lead to its implementation are identified. Dangerous events can be caused by both - the actions of the employer and the employee, as well as external factors. All considered dangerous events are random in nature, so methods of general theory of random process control, simulation and Boolean algebra are used for their analysis. According to this model, workplace safety management involves identifying the factors that are most likely to be present in the workplace and justifying measures to reduce the frequency of their occurrence and increase the level of safety. It is shown that the use of a systemic risk-oriented approach to safety management in the workplace will allow to identify the factors that are most likely to cause accidents and to develop appropriate measures to eliminate them. In a market economy, an important point in occupational safety management at all levels is to resolve the compromise between the economic feasibility of economic activity and social responsibility of the state in a way that reduces production risk, namely - maintaining human-centric economic development. Finding such a compromise is difficult and problematic, as it is difficult to compare in commensurate units the economic performance of economic activities with social losses due to accidents and occupational diseases at work. In the conditions of decentralization, when the role of supervisory bodies over the state of labor protection is reduced, it is very important to form elements of labor protection culture in employees and managers. Improving public and cultural education on occupational safety remains a priority of our country's public policy, in particular through higher education, which trains highly qualified workers and senior managers who are personally responsible for occupational safety at each workplace.
PROSPECTS FOR THE IMPLEMENTATION OF BIM-TECHNOLOGIES IN THE DOMESTIC CONSTRUCTION INDUSTRY
Authors: Kyivska Kateryna , Luzina Yuliia
Published: December 2021

The construction industry in Ukraine is not experiencing the best of times. Two years ago, the development of this industry, although not fast enough, but grew up. Today, analysts note a steady and significant decline in capacity. The epidemiological situation in the world, insufficient technical and digital support, outdated means and methods of construction and design - many factors that together delay the development of perhaps the most important industry for the state and regional economy, because construction is an industry with great potential vital activity of the whole country as a whole. To increase the level of domestic construction, as well as improve the functioning of the construction industry of Ukraine, it is necessary to pay attention to the need for large-scale implementation of advanced information modeling of buildings – BIM – a resource for presenting all characteristics of the object (physical and functional) in digital format. Thanks to its technology, this modeling ensures that all changes made to the process are taken into account, and accordingly adjusts all related criteria to obtain the most accurate and relevant result that would correspond to the real object. In addition, VIM technology allows you to keep all production data available to employees, which will ensure interaction at all stages of work, without delays and data loss. VIM will help to identify errors and inaccuracies in construction in advance, providing protection against additional costs due to erroneous construction models. With this technology, professionals in various fields of construction, design and architecture will be able to more effectively design, plan, build and operate buildings and infrastructure. According to the authors, the introduction of VIM technologies is the most important step to improve the quality and increase the level of domestic construction to modern European standards.
Features of reconstruction of external facade elements
Authors: Shpakova Наnna , Shpakov Andrew
Published: December 2021

In the materials of the article, the topical issues of reconstruction of the most vulnerable, from the point of view of operation, elements of buildings and structures - load-bearing facade elements, extensions and balconies are considered. The relevance of the research topic is determined by the prevalence of defects of this type of structures arising in the process of construction, operation and refurbishment.
Examples of typical design solutions for balconies are given and factors of influence on the lability of building structures of this type are analyzed, depending on the sources of their occurrence and the stage of the life cycle of the building and structure.
The types of operational loads and typical deformation processes in the structures of balconies and design solutions aimed at leveling the negative consequences of the impact on structures of environmental factors, organizational and technological errors during construction and operation, as well as a combination of these factors that can lead to a decrease in operational characteristics and bearing capacity of the structures under consideration. The most effective from a constructive, economic and organizational point of view, solutions for the reconstruction and restoration of various types of external elements of facades and balconies have been determined.
The article notes the importance of ensuring the compliance of the characteristics of the external elements of facade structures by creating regulations for the maintenance of structures based on state regulatory documents and the methodology for the rational choice of appropriate technology systems for the reconstruction and restoration of a structural element so important for the normal operation of civil buildings and structures as balcony structures of various types.
Investigation of heat loss of nodal connections of structures of energy -efficient "green" buildings
Authors: Berdnykov Mark , Shekhorkina Svetlana , Bordun Marina
Published: December 2021

The construction industry is the main consumer of natural resources, characterized by significant consumption of non-renewable resources and the impact on environmental pollution. Up to 50% of carbon dioxide emissions are accounted for by the construction industry. In addition, the main feature of the traditional construction industry is the overuse of energy, which affects the process of global warming and climate change. Energy is consumed in the extraction of raw materials, production and transportation of materials, in the process of construction, operation, repair and liquidation of buildings. Awareness of global environmental problems has led to a rethinking of the process of design, construction, operation and disposal of buildings in the European Union, the United States, Canada and others and the emergence of the concept of sustainable development and "green" construction. In this aspect, the main criteria for designing buildings are to minimize the impact on the environment, as well as reduce energy costs, reduce waste and harmful emissions.
The solution of the above problems, taking into account national specifics, can be achieved by developing typical resource- and energy-efficient, cost-effective design solutions for load-bearing and enclosing elements and their joints using environmentally friendly materials of local origin (wood and materials based on it, clay materials, straw, reeds, etc.
Fire resistance assessment of RC columns with advanced calculation methods
Authors: Dmytrenko Yevhen , Donets Taras , Odnolitok Kateryna , Fesenko Oleg
Published: December 2021

This paper contains the results of fire resistance calculation of reinforced concrete columns with advanced calculation methods.
For columns that are tested unloaded, determine the cross-sectional temperature distribution and values of temperature in reinforcement. The fire resistance of columns that have been tested without load is determined according to temperature measurements, with calculation methods according to the requirements of DBN B.1.1-7 andDBN B.1.2-7.
According to the tabulated method, the fire resistance of reinforced concrete columns is determined by geometric parameters such as cross-section width, axis distance of the reinforcement, amount of reinforcement, length or height of the element, load level during the fire exposure, heating conditions during the fire exposure (number of fire exposed sides).
Accidental combination of actions during the fire situation consists of characteristic values of permanent and variable long-term actions taking into account the safety factor  for the consequence class of the object (CC2) and the type of design situation (accidental).
Thermal analysis of the column was performed under conditions of the standard fire exposure. In such conditions it was assumed that the column is exposed to fire with four sides for 120 minutes that corresponds to the required fire resistance class R120.
The thermal state of the column was determined using transient thermal models that take into account radiation-convective heat transfer in the ambient from the heat source to the structural surface, convective heat transfer in the structure, radiation-convective heat exchange from the structure to the ambient environment.
The residual load-bearing capacity of the reinforced concrete column after the fire exposure was calculated with the reduced cross-section determined using zone method in accordance with the requirements of DSTU-N B B.2.6-197 and DSTU-N B EN 1992-1-2.
The fire resistance period of columns for the load-bearing criterion was determined on the basis of the results of of thermal and static analysis.
Features of derivation of formulas for calculation of nodal reactions and coefficients of matrix of rigidity of a finite element with averaged mechanical and geometrical parameters
Authors: Maksymiuk Yurii , Kozak Andrii , Martyniuk Ivan , Maksymiuk Oleksandr
Published: December 2021

Currently, the most widely used finite element method for the calculation of spatial structures, significant progress in the development of which is associated with the work of domestic and foreign scientists. In Ukrainian publications the problems of theoretical substantiation of the finite element method and its connection with other methods are considered, concrete types of finite elements and their application to various problems of mechanics of a continuous environment are studied. Much attention is paid to the choice of the appropriate shape of the finite element, the type and degree of approximating functions, as well as the development of methods for deriving stiffness matrices.
The study of prismatic bodies with constants along one of the coordinates of mechanical and geometric parameters is most appropriate to carry out on the basis of the semi-analytical method of finite elements. Its essence is a combination of finite element sampling and decomposition of displacements in the characteristic direction by a system of trigonometric coordinate functions.
The analysis of the literature shows that the issues related to the application of the semi-analytical finite element method to the calculation of thin-walled prismatic bodies in elastic-plastic, and massive even in elastic formulations, have not been properly reflected. In addition, there are no publications in this area devoted to the development of universal prismatic finite elements that allow you to explore massive, thin-walled and combined structures.
The direction of this study is to create on the basis of the semi-analytical method of finite elements of an effective apparatus for numerical analysis of the stress-strain state of massive and thin-walled arbitrarily loaded properties of the material and solve a number of new practically important problems. Therefore, in this work, based on the moment diagram of finite elements, formulas for calculating nodal reactions and stiffness matrix coefficients of a finite element with averaged mechanical and geometric parameters for the study of massive, thin-walled and combined structures are derived.
Status, Threats and Conservation of the Wetland Ecosystem Dominated with Mangroves in India
Authors: Dhadse Sharda , Majumdar Pramila , Valluri Ashwini , Sakhare Purushottam
Published: December 2021

Mangroves are one of the most undermined biological systems. They have immense ecological and economic advantages. Consistent, increment in natural and coastal development like a change of wetlands for hydroponics, construction for tourism, the tsunami has led to the demolishment of mangrove environments in India. The inhabitants of minor zones are at risk of losing their livelihood and there is a threat to the existence of the mangrove ecosystem. It has been noted that from a decade ago, about 40% of the Indian mangrove territories have been lost. At present, the environmental changes and increased anthropogenic activities have become a significant concern for the conservation and sustaining of the mangroves. Conservation of mangrove environment can be accomplished by increasing awareness about their significance among various stakeholders and safeguarding them through mandatory national policy and regulations. A specific policy like Coastal Zone Regulation has been formulated to ensure mangrove conservation, sustainable existence of local community habitat along the coastal area, fishing community, and coastal stretches for marine habitat have been protected.
COMPARATIVE STUDY OF HEMIREPLACEMENT ARTHROPLASTY WITH BIPOLAR PROSTHETIC AND PROXIMAL FEMORAL NAIL (PFN) IN UNSTABLE INTERTROCHANTERIC FRACTURE OF FEMURE: INTERVENTIONAL PROSPECTIVE RANDOMIZED STUDY
Authors: Singh Sawai , Meena Raghuveer
Published: December 2021

Background: Intertrochanteric femur fracture incidence has increased due to increased life expectancy and osteoporosis.

Methods- The present study was prospectively carried out in 60 consecutive patients of Fracture Intertrochanter Femur and treated with Hemiarthroplasty with Cemented Bipolar Prosthesis and Proximal Femoral Nail.

Results: The age of the patients in present study was in range of 60 - 80 years. There was a preponderance of female in present study in both groups. The mean duratioin of surgery in the Bipolar group (91.24±9.21Minutes) was much More That In PFN (53.12 ±6.02Minutes) Group. All patients of Bipolar group was discharged between 4 to 9 days and in PFN group 4 to 12 days after surgery. The average harris hip score in PFN group is 87.32±4.13 and in Bipolar group is 85.02±7.92. Final functional outcome were better in PFN group (P value 0.01) than by Bipolar group and significant.

Conclusion: The outcomes of the stable fractures treated with either Bipolar or PFN were similar. Unstable comminuted fractures treated with Bipolar showed significantly better outcomes with all patients having good results.

Keywords: Hip Arthroplasty, PFN, Complication
A terrorizmus és az információs tér kapcsolódási pontjai
Authors: Eck Gábor
Published: December 2021

A digitális kultúra, a mobileszközök és a közösségi média nélkülözhetetlen részévé vált az életünknek. A legfrissebb felmérések szerint a Föld népességének 60%-a használja az internetet, így a közösségi média alkalmazóinak száma meghaladja a 3,8 milliárdot.Egy átlagos internetező naponta közel 6 óra 45 percet tölt el a világhálón, ebből közel 2 óra 30 percet közösségi média használatával. Ezek a számok folyamatosan emelkedő tendenciát mutatnak. A világ népességének jelentős része elérhető a virtuális térben, ezért érdemes megvizsgálni, hogy a terrorizmus és az abban érintett személyek hogyan viszonyulnak a digitalizáció nyújtotta lehetőségekhez, és ez milyen kihívások elé állítja a biztonságért felelős szerveket.
The impact of exchange rate volatility on trade: The evidence from Russia
Authors: Tarasenko Irina
Published: December 2021

This paper analyzes the effects of exchange rate volatility on exports and imports of a range of goods between Russia and its 70 trading partners from 2004 until 2018. The goods in question fall into eight product categories, as follows: (i) agricultural raw materials­; (ii) chemicals; (iii) food; (iv) fuels; (v) manufactured goods; (vi) ores and metals­; (vii) textiles; and (viii) machinery and transport equipment. Exchange rate volatility­ is measured using the standard deviation of the first difference in the logarithmic daily nominal exchange rate. The paper concludes that exchange rate volatility had a negative impact on exports of agricultural raw materials, manufactured goods, and machinery and transport equipment. In contrast, it was found to have a positive and significant impact on trade in fuels and imports of chemicals and textiles.
A utilização da contabilidade na gestão dos pequenos negócios de recursos pesqueiros do Amazonas
Authors: Lima Júlia Clemente de , Mendonça Samily Balieiro de , Roberto José Carlos Alves , Serra Meg Rocha da Cunha , Lopes Nelânia Ferreira
Published: December 2021

A contabilidade é uma área que tem como objetivo principal o fornecimento de dados importantes sobre todo o processo que ocorre uma cadeia de controle dentro de uma organização: controle dos gastos, custos, lucros e perdas, assim como outras informações que são necessárias para que a gestão da movimentação financeira seja adequada e controlada. No contexto da cadeia de recursos pesqueiros, esse mecanismo se torna viável para as operações, já que é envolvida por diversos procedimentos e operações os quais envolvem questões contábeis, tendo em vista a quantidade de custos fixos e dívidas associadas a uma operação de pesca comercial. Assim sendo, o presente trabalho buscou responder a seguinte questão: de que forma a contabilidade pode influenciar na organização da cadeia produtiva dos recursos de pequenos negócios pesqueiros no Amazonas? Nesse sentido, o objetivo geral desta pesquisa foi apresentar o impacto que a utilização da contabilidade pode exercer na gestão dos recursos pesqueiros no Amazonas. O desenvolvimento do presente artigo deu-se através da utilização do meio de pesquisa bibliográfico, de fins exploratórios e natureza aplicada. Sendo possível pesquisas na base de dados eletrônica Scielo (Scientific Electronic Library Online). Os principais resultados apresentados nesse estudo foram identificados através da busca pela resposta à pergunta problema, com a seleção e análise de estudos e informações que mostraram que a utilização da contabilidade na gestão dos recursos pesqueiros pode influenciar no desenvolvimento e crescimento de pequenos negócios pesqueiros locais. Foi concluído, de acordo com a literatura pesquisada, que grande parte dos responsáveis por pequenos negócios pesqueiros no Amazonas não possuem conhecimento e consciência de que a utilização de recursos contábeis pode influenciar de forma positiva o lucro obtido nas vendas e que isso pode ser relevante para o crescimento do pequeno negócio.
DESAIN DAN PEMBUATAN 1000 FACE SHIELD SEBAGAI ALAT PELINDUNG DIRI DALAM MENCEGAH COVID-19
Authors: Susila Duarsa Artha Budi , Iing Iing , Mardiah Aena , Karmila Dany , Wanadiatri Halia
Published: December 2021

Kebutuhan alat pelindung diri (APD) berupa pelindung wajah mengalami kenaikan yang tajam semenjak penyebaran covid-19 . Virus yang dapat menular melalui media droplet tersebut dapat membahayakan tenaga kesehatan atau personal yang berinteraksi langsung dengan penderita penyakit yang disebabkan covid-19. Keberadaan pelindung wajah, meskipun bukan alat pelindung satu-satunya sangat diperlukan untuk menunjang peralatan yang lain. Tanpa adanya pelindung wajah tersebut maka akan memperbesar kemungkinan penularan virus covid-19. Tujuan dari penulisan jurnal ini adalah untuk menjelaskan proses pembuatan, serta rencana distribusi APD ke masyarakat. Dari proses yang dilakukan dapat disimpulkan bahwa proses produksi melalui beberapa tahapan yang melibatkan beberapa dosen da n beberapa mahasiswa kedokteran yang  memiliki kreatifitas dalam  pembuatan face shield sehingga menghasilkan produk yang maksimal.. Dari segi distribusi, pengiriman alat dilakukan dengan langsung datang ke tempat yang membutuhkan dan menerapkan physical distancing, memakai masker, cuci tangan  menggunakan sabun dan air mengalir atau  hand sanitizer serta menggunakan jasa kurir
PENGELOLAAN KERIPIK BELIMBING SEBAGAI PRODUK UNGGULAN DESA TERHADAP PERAWATAN TEKANAN DARAH DI JEMBER
Authors: Murtaqib Murtaqib , Kushariyadi Kushariyadi , Restanto Didik Pudji , Santoso Arnis Budi
Published: December 2021

Permasalahan yang ada di mitra Desa Rowosari yaitu banyak tanaman belimbing yang tumbuh di tiap lahan pekarangan masyarakat yang buahnya masih belum dioptimalkan secara maksimal. Belimbing masih menjadi buah biasa untuk dikonsumsi oleh masyarakat mulai dari usia anak-anak sampai dengan lansia. Masyarakat masih belum banyak mengetahui manfaat buah belimbing terutama untuk kesehatan. Belimbing masih belum dikreasikan menjadi produk olahan yang berkualitas dan bermanfaat secara maksimal terutama terhadap kesehatan yaitu untuk menurunkan tekanan darah terutama pada masyarakat lansia. Desa Rowosari merupakan daerah agraris dan masyarakatnya bekerja sebagai petani karena secara geografis terletak di dataran tinggi. Pekerjaan petani dilakukan oleh laki-laki dan perempuan untuk mendukung keadaan ekonomi, sehingga pendapatan yang diperoleh masih terbatas. Pemberdayaan terhadap perempuan di Desa Rowosari masih belum ada. Banyak masyarakat petani perempuan setelah selesai bekerja di sawah tidak melakukan aktivitas lain yang dapat menunjang tambahan penghasilan perekonomian. Metode yang digunakan focus group discussion (FGD). Hasil pengabdian meliputi pembentukan kelompok social peduli hipertensi; penyuluhan tentang hipertensi, pelatihan pengembangan ekonomi lokal desa (membuat keripik belimbing), kesehatan, lingkungan dan pemberdayaan perempuan; pendampingan kelompok perempuan sebagai kelompok utama dalam menyelesaikan masalah mitra; evaluasi program dan keberlanjutannya. Kesimpulan yaitu terbentuknya peningkatan peran serta masyarakat dalam mengatasi hipertensi, terbentuknya kepedulian masyarakat dalam pelayanan social.